Abstract
Metal ions are integral to biological systems, serving as catalytic cofactors, structural components, and mediators of key cellular signaling pathways. Understanding their interactions with bioactive molecules at biointerfaces provides valuable insights into the development of metal-based drugs, therapeutic biomaterials, and innovative nanomedicines. This review adopts a bio-interface-centered framework that integrates coordination chemistry, surface chemistry, and biomolecular recognition, underscoring how coordination geometry, ligand kinetics, redox behavior, and hard/soft acid/base preferences affect the interactions of metal complexes with DNA, proteins, lipids, and glycoconjugates. These interactions regulate diverse cellular processes, such as mitochondrial function, signal transduction cascades, and programmed cell death mechanisms, including apoptosis and ferroptosis. This manuscript outlines the major classes of clinically significant metal complexes, along with emerging systems, including metal-organic frameworks, polymeric carriers, and artificial metalloenzymes, designed to provide targeted delivery and catalytic activity at biological interfaces. In particular, this review focuses on the combination of coordination chemistry, nanotechnology, and chemical biology to develop stimuli-responsive frameworks capable of targeted delivery and multifunctional therapeutic effects. This review further examines the role of metal coordination in biomolecular recognition, biointerface regulation, pharmacokinetic behavior, toxicity, and therapeutic performance, thereby linking atomic-level coordination chemistry with cellular and translational outcomes. This bio-interface-centered perspective distinguishes the present review from prior work focused separately on metallodrugs, bioinorganic mechanisms, or coordination chemistry.
Keywords: Biological interfaces, Metal coordination, Metallodrugs, Biomaterials, Drug delivery, Stimuli-responsive systems, Biointerface regulation
Graphical abstract

1. Introduction
Metal ions play essential roles in biointerfaces, serving as catalysts, structural supports, and dynamic signaling mediators. Their significance as cofactors for the activation and function of enzymes further underscores the fundamental role of metal surface interactions in living systems [1,2]. The widespread applications of these ions reflect the chemical versatility of metal-ligand interactions: small cations, such as Na+, K+, and Ca2+, maintain ionic homeostasis and electrical excitability, whereas transition metals (for example, Fe, Cu, Mn, and Zn) impart various structural and catalytic capabilities to proteins and nucleic acids [[3], [4], [5]]. A well-established example is Zn2+-dependent catalysis, in which the metal center activates a coordinated water molecule, generating a stronger nucleophile that can promote peptide bond hydrolysis [3,6]. Similarly, redox-active metals with multiple oxidation states form the backbone of electron transfer chains, such as cytochromes, Fe–sulfur clusters, and Cu proteins, which drive respiration and redox metabolism [3,[7], [8], [9], [10]].
Beyond catalysis, metals are involved in regulation, serving as reversible switches that link binding events to conformational changes and downstream signaling. Ca2+ and Zn2+, for example, modulate protein and nucleic-acid functions within cells, thereby regulating cellular pathways [3]. Transcription factors involved in the regulation of metal ions further support this principle by directly sensing intracellular metal availability and modulating gene expression accordingly, demonstrating their roles as active participants in signaling rather than passive cofactors [3,11]. Overall, metal coordination provides a flexible mechanism for biological control, refined over billions of years, from enzymatic chemistry to genome regulation [1,6,12,13].
1.1. Bio-interface: where coordination chemistry intersects biomolecular function
The biological interface is a dynamic frontier where coordination chemistry intersects with the complex organization of biomolecules and cells (Fig. 1). At the biological interface, synthetic or inorganic metal centers interact directly with biological scaffolds, including proteins, nucleic acids, and membranes, and modulate their molecular structure and cellular function [15,16]. Because these interactions span molecular and cellular levels, the field is inherently interdisciplinary. In medicine, the biological interface encompasses metallodrugs and metal-based diagnostic tools. Coordination complexes, ranging from platinum (Pt) and ruthenium (Ru) compounds to gadolinium chelates, can bind to specific biomolecular targets or amplify imaging signals, allowing coordination chemistry to be applied in therapy and disease diagnosis [17,18]. Biocatalysis includes artificial metalloenzymes and nanozymes, where engineered metal centers are incorporated into protein scaffolds or nanomaterials to drive chemical transformations under physiologically compatible conditions [19,20]. In cellular engineering, biological interface strategies are being extended to metal-responsive genetic circuits, intracellular bio-orthogonal metal catalysis, and engineered systems that modulate the uptake, cellular transport, or availability of metal cofactors [21].
Fig. 1.

A unified multiscale framework linking metal center properties and ligand architecture → coordination environment → biomolecular recognition → cellular regulation → pharmacokinetic behavior → toxicological outcomes → therapeutic efficacy. The framework explicitly distinguishes between metal centers, structural coordination environments, catalytic sites, biomolecular targets, and biological functions. The metal-center properties and ligand architecture govern the coordination behavior, including the geometry, redox activity, ligand-exchange kinetics, and molecular selectivity. These features determine biomolecular recognition at biological interfaces, including interactions with DNA, proteins, membranes, glycans, and the ECM. Such interactions subsequently influence cellular transport, catalytic processes, signaling pathways, and biological responses, ultimately affecting pharmacokinetics, toxicological outcomes, therapeutic efficacy, and clinical translation of the drug. This framework provides a unified perspective connecting atomic-level coordination chemistry with biomolecular recognition, cellular regulation, and therapeutic performance, highlighting how metal coordination regulates recognition, delivery, catalysis, and therapeutic responses across multiple biological scales. The illustration is a conceptual summary synthesized from published studies on metal–biomolecule interactions, coordination chemistry, metalloproteins, and metal-based therapeutics [3,14].
Among these applications, metal coordination confers new functionalities. For example, metal-organic frameworks (MOFs) can be coupled with enzymes to form hybrid catalytic platforms, and peptide assemblies can be tuned through selective metal-ion binding to adjust their stability and structures [22]. Notably, metals at the biological interface may be native components of biology (e.g., Zn2+ in zinc-finger DNA-binding domain) or deliberately introduced non-native species (e.g., intracellular Ru complexes), thereby expanding the chemical repertoire available to living systems’ beyond what evolution typically employs [3,23]. Fundamentally, a biological interface is where design principles, such as ligand geometry, redox control, and coordination strength, intersect with biological frameworks, including macromolecular structure, cellular dynamics, and signaling [17,24,25]. This intersection results in a broad design landscape in which metal coordination motifs can regulate enzyme activity, drive metal-mediated assembly of biomaterials, and shape metal ion circulation within signaling pathways. Living cells exploit the distinctive chemistry of metals to maintain homeostasis and coordinate metabolism. Hence, materials chemists are now developing “life-like” catalysts and therapeutics that mimic or manipulate these bioinorganic mechanisms [9,[26], [27], [28], [29]]. Thus, the biological interface framework highlights the strong coupling between coordination chemistry and biological performance, with higher relevance to medicine, biocatalysis, and cellular engineering [6].
1.2. Current gaps and challenges at the metal bio-interface
Despite its potential, metal-focused biology and medicine have significant gaps that hinder progress. In particular, a major limitation is the lack of a unified, multiscale mechanistic framework that can connect atomic-level coordination to clinical outcomes [30]. Coordination chemists often describe metal–ligand interactions under controlled in vitro conditions, structural biologists explain isolated metalloprotein structures, and clinicians assess organism-level outcomes; however, these layers are rarely integrated into a single explanatory model [31]. Consequently, we still lack robust models linking a metal's local binding geometry to downstream consequences, such as changes in protein conformation, cellular trafficking, and whole-organism pharmacodynamics [24,[32], [33], [34]]. This disconnect is particularly evident in clinical translation, where ligand frameworks may be optimized for affinity or reactivity without parallel consideration of pharmacokinetics and safety, meaning that even well-designed complexes can fail once tested in vivo. The biological fate of metallodrugs is particularly challenging to predict because their efficacy and toxicity are determined not only by their chemical structure, but also by absorption, distribution, metabolism, and excretion (ADME), as well as metal-specific transporter interactions and the synthesis of distinctive metal-derived metabolites [25,[35], [36], [37]].
Current metal-based therapies also face intrinsic limitations, most notably limited selectivity and dose-limiting side effects. For example, Pt drugs, such as cisplatin, are potent anticancer agents; however, their non-specific interactions, such as widespread DNA binding, lead to nephrotoxicity, neurotoxicity, and ototoxicity [11,35,38]. Similar concerns arise with many investigational complexes, where unintended interactions with normal biomolecules or uncontrolled release of reactive species (e.g., Cu2+ or Fe2+) can trigger collateral injury. These limitations underline the need for safer coordination motifs and more targeted delivery approaches [39]. Overall, coordination chemistry, structural biology, and clinical studies remain largely siloed, lacking a unified set of rules that translate ligand field features or redox states into predictable effects on protein structure, cellular pathways, and therapeutic performance [12,40]. For example, it is not yet fully understood how the precise coordination geometry of a drug governs transporter-mediated uptake, endosomal release, or nuclear accumulation, and how these processes modulate signaling pathways. Without an integrated perspective, designs remain incomplete, and therapeutic translation often proceeds by trial and error [41].
Efforts to enhance the potency of metal complexes often undermine their translation. A metal-centered inhibitor may perform well against an enzyme in vitro but may prove ineffective in vivo if it is rapidly sequestered by serum proteins or eliminated before reaching its target tissue [[42], [43], [44]]. As emphasized earlier, “metallodrugs have more complex mechanisms of metabolism and chemical transformation in the body compared to traditional small molecules, and these processes can be more critical for clinical performance [35,45]. Bridging this gap requires incorporating pharmacokinetics and toxicity into the early stages of design and linking coordination-level measurements to realistic models of cellular uptake, distribution, and clearance. However, many metal compounds have narrow therapeutic windows because their intrinsic reactivity is difficult to confine to diseased cells [46]. Cisplatin is the striking example; its nonselective DNA binding yields potent anti-tumor efficacy but also leads to dose-limiting nephrotoxicity, neurotoxicity and ototoxicity [11,12,35]. Furthermore, certain emerging metal-based agents often generate reactive metabolites or interact with endogenous biomolecules, which reduces their safety and hinders predictability. Therefore, these limitations highlight the need for the field to evolve beyond “serendipitous” metal drug discoveries toward rationally engineered complexes that balance therapeutic efficacy with safety and control [47].
Another important limitation is the insufficient integration of dynamic biointerface phenomena into current design frameworks. Processes e.g., protein-corona formation, metal-ion release, extracellular matrix (ECM) remodeling, interfacial degradation, and immune recognition are increasingly recognized as major determinants of biological performance; however, they remain difficult to predict from conventional coordination-chemical descriptors alone. Bridging this gap requires multiscale models that connect atomic-level coordination behavior with the evolving physicochemical and biological properties of material interfaces [48,49].
1.3. Scope of this review
This review establishes a mechanistically unified and clinically relevant framework for understanding how metal coordination regulates biomolecular recognition, transport, catalytic activity and therapeutic responses at biological interfaces. Throughout this review, metal centers, coordination environments, catalytic sites, biomolecular targets, and biological functions are treated as distinct but interconnected levels of organization to avoid conceptual ambiguities. Rather than treating metallodrugs, biomaterials, catalytic systems, diagnostics, and emerging biointerface technologies as independent topics, these areas are discussed as interconnected manifestations of coordination-mediated biointerface regulation. To achieve this objective, we examined metal–biointerface interactions across multiple biological scales, linking atomic-level coordination chemistry to cellular behavior and clinical outcomes. Particular emphasis is placed on how metal-center properties and ligand architecture, including hard–soft acid–base (HSAB) preferences, coordination geometry, ligand exchange kinetics, and redox activity, govern interactions with biomolecular targets and determine biological specificity. We further discuss how the biological context, including binding-site architecture, transport and trafficking pathways, cellular redox buffering, and microenvironmental factors, modulates metal reactivity and therapeutic performance. This review highlights the key challenges in the field, including limited multiscale integration, the disconnect between molecular design and pharmacological behavior, and dose-limiting toxicities that constrain many current metal-based therapeutics. Emerging strategies, including targeted delivery systems, stimuli-responsive coordination platforms, artificial metalloproteins, and emerging coordination-engineered systems, are discussed in the context of improving selectivity, safety, and therapeutic efficacy. By integrating concepts from coordination chemistry, chemical biology, and bioinorganic medicine, this review provides guiding principles for the rational design and clinical translation of next-generation coordination-based therapeutics, diagnostics, and biomaterials across oncology, regenerative medicine, immunotherapy, and bioelectronic applications.
To connect the diverse physicochemical, molecular, cellular, pharmacokinetic, toxicological, and clinical dimensions of metal-ion biology, a unified multiscale framework is proposed that links metal-center properties and ligand architecture to biomolecular recognition, cellular regulation, pharmacokinetic behavior, toxicological outcomes, and therapeutic efficacy (Fig. 1). This framework serves as a conceptual roadmap for understanding how atomic-level coordination chemistry propagates across biological scales to influence the biological function and clinical performance. Collectively, the concepts discussed in this review highlight how metal coordination regulates recognition, transport, catalytic activity, and therapeutic responses at biological interfaces, providing a foundation for the rational design and clinical translation of next-generation metallotherapeutics.
2. Molecular foundations of metal coordination at the bio-interface
The rational development of metal-based drugs depends on a thorough understanding of the principles of coordination chemistry. This section outlines how HSAB preferences, ligand exchange kinetics, and coordination geometry provide valuable insights into the interpretation of metal behavior at biological interfaces, where metals encounter heterogeneous physicochemical environments defined by proteins, membranes, extracellular matrices, and cellular compartments. These principles govern the target selectivity, intracellular stability, and chemical reactivity of metal complexes inside living systems, while simultaneously determining how metal species interact with the spatial and dynamic characteristics of biological interfaces [50].
2.1. Hard and soft acids and bases in biological context
The HSAB theory is a fundamental concept that predicts the preferred metal-ligand pairing based on polarizability and charge density [13,51,52]. From a biological perspective, many metal centers explicitly follow these preferences for selecting potential binding targets at biological interfaces, where donor-atom availability, hydration structure, molecular crowding, and compartment-specific chemistry collectively influence coordination behavior (Fig. 2). Hard acids, defined by high charge density and low polarizability, such as Fe3+, Al3+, and Ca2+, tend to bind to hard bases, including ligands with electronegative donor atoms, most commonly oxygen donors, such as carboxylates or water [3]. Consistent with this, Fe3+, with its high charge-to-radius ratio, usually forms particularly stable complexes with O-donor ligands [3]. In contrast, soft acids are generally larger and more polarizable, with lower charge densities (Pt2+, Au+, and Hg 2+) that preferentially bind soft bases, such as sulfur-containing donors in thiolates [14]. Metals with intermediate and borderline characteristics, such as Zn2+, Cu2+, or Fe2+, commonly exhibit a significant affinity for nitrogen donors (notably histidines) and oxygen donors, depending on the local environment [3]. Overall, the HSAB concept helps rationalize why metalloproteins utilize specific amino acid chains for specific metals and why metal-based drugs show particular reactivity patterns. Importantly, at biological interfaces, these preferences are not governed solely by intrinsic metal–ligand affinity, but also by local interface properties, including ligand density, solvent accessibility, electrostatic gradients, and competing biomolecular interactions. For example, thiophilic agents are sequestered by glutathione (GSH) or cysteine residues [53,54].
Fig. 2.

Molecular foundations of metal coordination at the biointerface. Schematic illustration of the key coordination-chemical principles that regulate metal–biomolecule interactions, including HSAB logic, ligand-exchange kinetics, coordination geometry, and competition with endogenous small-molecule and macromolecular ligands. These mechanisms define the structures and reactivities of metal coordination cores in biological environments. This figure is a conceptual illustration synthesized from published studies on coordination chemistry, the HSAB theory, ligand exchange kinetics, and metallodrug design [13,14].
Therefore, hard acids such as Fe3+and Ca2+are commonly coordinated by hard bases, notably the carboxylate groups of aspartate or glutamate, in many metalloproteins [3]. Within biological interfaces, these interactions are further shaped by the local organization of proteins, glycoconjugates, ECM components, and membrane-associated ligands, which regulate metal accessibility and retention. This helps explain why Ca often stabilizes protein structures via carboxylate contacts and why Fe3+ is sequestered by hard oxygen donor ligands, such as citrate or phosphate, in cells [55]. Borderline metals, including Cu2+, Zn2+, and Fe2+, generally prefer intermediate donors, such as imidazole N from histidine in enzyme active sites and, in some contexts, oxygen donors; they often achieve stabilizing coordination environments (commonly octahedral) depending on the protein structure [3]. Finally, soft acids (for example, Pt2+, Au+) form strong interactions with sulfur donors, especially cysteine thiols in proteins. Therefore, Pt drugs are inactivated by cysteine-rich metallothioneins, and Au drugs (auranofin) target thiol-dependent enzymes. For example, cisplatin contains a relatively soft Pt2+ center that targets the N7 sites of purine bases in DNA, but it can also be readily intercepted by thiolate donors from GSH or cysteine residues, consistent with the HSAB-driven thiophilicity [14]. Understanding these preferences enables the more predictive design of metal complexes in biological settings and provides a framework for engineering metal behavior at biological interfaces, where the selective recognition of interface-specific ligands can improve targeting efficiency, biological compatibility, and therapeutic selectivity. For example, by tuning metal-ligand “softness” to reduce strong interactions with ubiquitous GSH and thereby enhance bioavailability and selectivity [14,56,57]. Understanding these HSAB-driven preferences provides a foundational principle for engineering metal coordination at biological interfaces, where selective recognition of interface-specific donor groups is the first determinant of targeting efficiency and therapeutic selectivity.
2.2. Ligand-exchange kinetics in vivo
Kinetics plays a crucial role in the behavior of metal complexes in vivo, as biological interfaces continuously expose metal complexes to dynamic ligand-exchange environments involving proteins, membranes, extracellular matrices, metabolites, and intracellular trafficking compartments. Biological fluids are rich in competing ligands (water, chloride, thiols, etc.); therefore, the rate of ligand exchange often determines whether a complex reaches its intended target or is derailed. These interface-associated ligands create highly competitive coordination environments that strongly influence metal speciation and biological fate [33,34,58,59]. Kinetically labile complexes with fast ligand exchange can readily react with off-target species and can be quickly deactivated before reaching their primary sites of action. They may undergo rapid ligand substitution at the plasma, membrane, or intracellular interfaces, resulting in altered biodistribution, premature deactivation, and unintended interactions with surrounding biomolecules (Fig. 3). For instance, many d10 metal complexes and certain square-planar d8 systems (e.g., some Pd2+ or more labile Pt2+ compounds) undergo rapid aquation or thiol binding, which can lead to non-selective reactivity inside cells. Conversely, kinetically inert complexes with slow exchange rates can persist longer in the biological milieu and act as prodrugs that are activated only under specific intracellular or environmental conditions [33,58,60,61,63].
Fig. 3.

Ligand exchange kinetics of metal complexes in vivo. A comparison of kinetically labile and inert metal complexes in the bloodstream and intracellular environment illustrates how premature ligand exchange leads to deactivation and off-target reactivity, whereas kinetically inert or prodrug strategies enable controlled activation, DNA binding, and selective cytotoxicity within cells. This illustration was synthesized from published studies on metallodrug pharmacology, platinum-based drugs, ruthenium complexes, and prodrug activation mechanisms [11,[60], [61], [62]].
Classic examples of kinetically inert systems include low-spin d6 octahedral complexes, such as Ru2+ polypyridyl complexes (RuPOPs) or “piano-stool” arene complexes, and many Rh3+ or Ir3+ compounds, which show extremely slow ligand substitution. Water ligands in hexacoordinated Rh3+ or Ir3+ complexes can have residence times on the order of 108–1010 s, effectively locking the coordination sphere until a specific trigger (e.g., reduction or light) prompts ligand dissociation [14]. Drug design strategies increasingly exploit these characteristics. One recent Pt-based study explicitly emphasized the “strong interconnection between kinetic lability and undesired shortcomings of clinical Pt drugs, motivating the development of more inert analogs that retain antitumor efficacy while reducing side effects [63].
Furthermore, cisplatin is a square-planar Pt2+ complex with intermediate lability, which remains relatively intact in the bloodstream for several hours due to the high chloride concentration but associates with water inside cells. These characteristics support its interaction with DNA, ultimately facilitating cytotoxicity in the cells. However, the same lability enables off-target quenching by cellular thiols [6,14]. In contrast, Pt4+ prodrugs (octahedral, kinetically inert) are stable during circulation and are reduced to active Pt2+ only within a reductive intracellular environment. Likewise, many Ru2+ and Os2+ complexes are essentially inert in the dark and require photoactivation (phototriggered ligand release) to become cytotoxic. Therefore, understanding kinetic lability is central to balancing the stability and reactivity profile of metallodrugs across multiple biological interfaces, including circulation, cellular uptake pathways, endosomal compartments, and intracellular target sites. A labile complex can interact with targets rapidly but is more susceptible to side reactions and premature deactivation. An inert complex can avoid early inactivation but may require a reliable activation mechanism at the disease site [63]. Therefore, understanding kinetic lability is central to balancing the stability and reactivity profile of metallodrugs across the full spectrum of biological interfaces — from circulating plasma to intracellular target sites — and directly determines whether metal coordination leads to productive recognition and therapeutic response or off-target deactivation.
2.3. Coordination geometry and biological consequences
Coordination geometry determines how a metal complex spatially interacts with biological interfaces, including membrane surfaces, protein binding pockets, extracellular matrices, and nucleic-acid architectures — and this spatial interaction is the primary mechanism by which geometry governs recognition, binding orientation, and overall therapeutic activity. Metal ions adopt coordination geometries that are largely absent from conventional organic drugs and are generally limited to relatively simple linear or planar small structures (Table 1). The three-dimensional (3D) geometry, such as octahedral, square planar, and tetrahedral, profoundly affects the electronic properties of a metal complex and determines how the complex spatially interacts with biological interfaces, including membrane surfaces, protein binding pockets, extracellular matrices, and nucleic-acid architectures. This disrupts interactions with biomolecular targets [[89], [90], [91]]. Furthermore, the geometry of metal complexes can influence cellular uptake, binding orientation, and overall activity. Many biologically relevant metal ions, such as Fe2+, Co3+, Ru2+, and Pt4+, preferentially adopt octahedral coordination geometries. Low-spin d6 centers, including Fe2+, gain significant crystal-field stabilization, which contributes to the robustness of these complexes [92,93].
Table 1.
Metal coordination interactions at the biointerface.
| Metal center | Biomolecular target | Biological/Chemical process | Therapeutic outcome | Translational outcome | Ref. |
|---|---|---|---|---|---|
| Platinum | DNA, proteins | DNA crosslinking | Chemotherapy | Resistance, toxicity | [64,65] |
| Gold | Thiol proteins, TrxR | Enzyme inhibition | Anticancer, anti-inflammatory | Off-target binding | [66,67] |
| Ruthenium | DNA, histones | Ligand exchange, redox activation | Precision oncology | Limited clinical translation | [68,69] |
| Iron | Oxygen carriers, ROS networks | Redox cycling | Catalytic therapy | Oxidative toxicity | [[70], [71], [72]] |
| Copper | Redox proteins, ECM enzymes | Electron transfer, oxidation | Catalytic therapeutics | Redox imbalance | [73,74] |
| Zinc | Enzymes, transcription factors | Structural coordination | Signaling regulation | Limited redox activity | [[75], [76], [77], [78]] |
| Manganese | Antioxidant enzymes | ROS scavenging | Nanozymes | Accumulation concerns | [79] |
| Lanthanides | Water coordination sites | Chelation-mediated contrast | MRI imaging | Retention concerns | [80] |
| Ni/Co/Mo/V | Metalloenzymes | Cofactor catalysis | Metabolic regulation | Toxicity concerns | [[81], [82], [83], [84], [85], [86]] |
| erium oxide | ROS networks | Redox cycling | Antioxidant nanozymes | Biodistribution | [87] |
| Titanium | ECM, bone | Surface mineralization | Implants | Long-term performance | [88] |
Octahedral coordination also allows the development of ligand cages around the metal. Pt4+, for example, is octahedral and relatively inert, carrying axial ligands, such as chlorides or acetates, which can be functionalized with targeting groups or co-drugs (Fig. 4). Upon reduction to square-planar Pt2+ inside the cell, these axial ligands are released, and the complex is converted into an active DNA crosslinking agent [97]. The 3D layout of octahedral complexes further enables them to engage multiple binding sites simultaneously across structurally heterogeneous biological interfaces, facilitating multivalent interactions with proteins, membranes, and nucleic acids. For instance, a RuPOP may intercalate an aromatic ligand into DNA, while another ligand coordinates a protein residue, achieving multivalent interactions [98,99]. The rigid octahedral scaffold can also promote the selection of biomolecules through steric complementarity with binding pockets that require a particular spatial arrangement. Reflecting this, octahedral half-sandwich Ru2+ arene complexes are being developed as enzyme inhibitors, exploiting their 3D geometry to access binding clefts that are difficult for flat organic molecules to reach [3].
Fig. 4.

Influence of coordination geometry on biomolecular recognition and biological function at the biointerface. Representative coordination geometries influence the accessibility, binding orientation, and recognition preferences of DNA, proteins, and other biomolecular interfaces. These geometry-dependent interactions contribute to distinct biological outcomes, including DNA crosslinking, protein regulation, catalysis, redox control, and structural stabilization. Coordination geometries are presented as structural determinants of molecular recognition rather than as biological functions. The framework highlights coordination geometry as a key design parameter linking metal-complex structures to biomolecular recognition, biological activity, and therapeutic function at the biointerface. This figure is a conceptual illustration synthesized from published studies on coordination geometry, structure–activity relationships, and metal-based therapeutics [89,[94], [95], [96]].
Square-planar (4-coordinate) geometry is characteristic of many d8 centers, including Pt2+, Pd2+, and low-spin Ni2+, which define two orthogonal coordination axes (Table 2). In cisplatin, the cis arrangement of ammine ligands and labile chlorides enforce the formation of intrastrand DNA crosslinks caused by adjacent guanine base interactions [125]. The planar structures also allow these complexes to “slip” between base pairs (intercalation) and efficiently access confined interfacial environments, such as DNA grooves and protein–DNA contact regions, or occupy relatively flat binding regions on proteins. Square-planar Pt2+ centers tend to undergo associative ligand substitution, temporarily expanding to a five-coordinate intermediate, which facilitates direct coordination with biomolecules. This geometry underlines the unique DNA kinking and unwinding produced by cisplatin adducts that block replication forks. Notably, small geometric changes can alter biological outcomes: trans-configured Pt2+ complexes interact with DNA in a different manner and show much lower anticancer activity, whereas the cis geometry is crucial for clinically relevant 1,2-intrastrand crosslinks [11,[60], [61], [62]].
Table 2.
Modes of metal coordination at biomolecular interfaces and their functional consequences.
| Metal center | Coordination Site/Donor Environment | Primary Biomolecular Target | Coordination Mechanism | Immediate Molecular Consequence | Cellular Outcome | Therapeutic Implication | Ref. |
|---|---|---|---|---|---|---|---|
| Pt(II) | N7 (guanine) | DNA | 1,2-intrastrand crosslink | Helical bending (∼30°) | Replication arrest | Cytotoxic chemotherapy | [95,96] |
| Pt(II) | Cys thiolate | GSH | Thiolate substitution | Drug inactivation | Resistance development | Need for thiol-resistant ligands | [95,96] |
| Ru(II) polypyridyl | N7 + π stacking | DNA | Monofunctional + intercalation | DNA unwinding | Transcription inhibition | Alternative to Pt drugs | [94] |
| Rh(III) | Mismatch base | Damaged DNA | Metalloinsertion | Selective lesion binding | Synthetic lethality | Targeting MMR-deficient tumors | [100,101] |
| Au(I) | Cys/Sec | Thioredoxin reductase catalytic site | Covalent coordination | Redox enzyme inhibition | ROS accumulation | Anticancer & anti-inflammatory | [102] |
| Cu(II) | Histidine | Metal-dependent enzymes | Metal displacement | Enzyme inhibition | Metabolic stress | Proteostasis targeting | [103] |
| Fe(II) | Phosphate oxygen | DNA backbone | Electrostatic coordination | Local condensation | Chromatin modulation | Epigenetic intervention | [103] |
| Ga(III) | Transferrin O-donors | Iron transport proteins | Fe mimicry | Iron deprivation | Growth inhibition | Antimicrobial/anticancer | [104,105] |
| Zn(II) | His/Cys | Zinc-finger structural sites | Metal displacement | Transcription factor inhibition | Gene regulation shift | Antiviral strategy | [106] |
| Co(III) | Protein His | Hypoxia-associated protein targets | Redox-activated release | Ligand liberation | Hypoxia-selective toxicity | Tumor targeting | [107] |
| Ir(III) | ETC-associated protein complex | ETC complexes | Protein coordination | ΔΨm collapse | Apoptosis | Mitochondrial-targeted therapy | [108] |
| Au(III) | Cys clusters | Metallothionein metal-binding sites | Thiolate cluster formation | Metal sequestration | Detoxification | PK modulation | [109] |
| Ni(II) | Histidine clusters | His-tag proteins | Multidentate binding | Enzyme inhibition | Proteome stress | Selective inhibition | [110,111] |
| Cu(I) | GSH | Intracellular thiols | Redox cycling | ROS generation | Ferroptosis | Redox therapy | [112,113] |
| Fe(III) | Catechol ligands | Siderophores | Chelation | Metal transport hijack | Bacterial starvation | Antimicrobial design | [114,115] |
| Ru(II) arene | Protein pockets | Enzyme clefts | Multivalent binding | Allosteric modulation | Signaling suppression | Kinase targeting | [116] |
| Pt(IV) | DNA (post-reduction) | Genomic DNA | Reductive activation | Pt(II) release | Site-selective cytotoxicity | Prodrug design | [117,118] |
| Os(II) | Protein backbone | Kinase regulatory sites | Photolabile coordination | Light-triggered inhibition | Spatiotemporal control | Phototherapy | [119,120] |
| Lanthanide(III) | Phosphate | ATP-rich regions | Hard-hard interaction | Subcellular retention | Organelle targeting | Imaging + therapy | [121,122] |
| Ferrocene (FeII) | Lipid bilayer | Membrane | Redox-active insertion | Lipid oxidation | Apoptosis | Redox-responsive drugs | [123,124] |
Note: Metal centers, coordination sites, biomolecular targets, coordination mechanisms, and biological outcomes are presented as distinct but interlinked organizational levels. Coordination sites describe the immediate metal-binding environment, whereas cellular outcomes and therapeutic implications represent the downstream biological consequences of metal–biomolecule interactions.
Tetrahedral coordination often occurs for d10 ions, such as Zn2+ and Cd2+, as well as for some high-spin d5 or d3 metal centers, and usually yields flexible, relatively labile binding. For example, in Zn2+ enzymes, the metal is most often found in a tetrahedral environment with histidines and cysteines, plus water or hydroxide, and has essentially zero-ligand field stabilization energy. This lack of CFSE renders the Zn site kinetically labile, which is crucial for catalysis because substrates and products must interact and dissociate efficiently [126,127]. Generally, tetrahedral complexes are often more fluxional and therefore exhibit enhanced adaptability when interacting with dynamic biological interfaces, particularly membrane-associated and protein-rich environments, which can facilitate membrane transport through partial dissociation and reassociation; however, it also reduces target specificity. In cells, tetrahedral Zn2+ complexes require dedicated protein carriers and chaperones to prevent uncontrolled interactions. In the context of drugs, compact tetrahedral shapes, such as organogold+ or Cu+, can readily penetrate cell membranes; however, their high reactivity must be carefully managed to prevent off-target damage [39,128].
Common coordination geometries in biology and metal-based drugs are summarized below.
-
•
Octahedral (coordination number 6): This geometry is commonly observed for Fe2+, Ru2+, and Pt4+. Low-spin d6 ions (for example, Fe2+) gain significant LFSE [3], which favors chelating ligands that enforce 6-coordinate structures. Octahedral drugs, such as Pt4+ prodrugs or Ru2+ arene complexes, utilize this 3D geometry to achieve plasma stability and simultaneously contact multiple binding elements at their targets [129].
-
•
Square planar (coordination number 4): This is a characteristic geometry of d8 metals (Pt2+, Pd2+). The planar geometry results in a distinct electronic structure and a reactivity profile. The square-planar Pt center of cisplatin is particularly effective in crosslinking DNA. These complexes often undergo an associative mechanism, transiently opening a fifth coordination site and forming strong 2D ligand fields that drive their substitution chemistry [130].
-
•
Tetrahedral (coordination number 4): This structure is typical of Zn2+ (d10) and some high-spin d-block metals. The lack of significant LFSE generally leads to labile, conformationally flexible complexes. Many Zn-dependent enzymes, such as carbonic anhydrase, depend on tetrahedral Zn sites that can readily interchange ligands. Tetrahedral shape also influences membrane transport: larger, hydrophilic Zn complexes usually require specific transporters or chaperones to move safely across membranes and within cells [127,131].
Additional geometries appear in metallodrugs, including trigonal-bipyramidal and square-pyramidal intermediates during ligand substitution and sandwich complexes, such as metallocenes (e.g., ferrocene), used in redox-active drugs [89]. Each geometry confers unique steric and electronic properties to the complexes. For example, ferrocene, which consists of an Fe2+ center between two cyclopentadienyl rings, has been incorporated into estrogen-like molecules to create redox-responsive hormone analogs [39,132]. Ultimately, the coordination geometry affects not only the binding selectivity but also the overall reactivity. A low-spin d6 metal in an octahedral environment can enjoy a stabilization energy (∼27 kcal/mol for Fe2+ low-spin), making it less likely to undergo ligand dissociation and improving kinetic inertness. The same metal in a less strongly stabilizing, 5-coordinate or 4-coordinate environment will be more reactive and more prone to substitution [3,90,133]. By designing ligands that support a given geometry, chemists can modulate a complex along the stability-reactivity spectrum. For instance, wrapping Pt2+ in a tetradentate ligand that rigidly enforces square-planar geometry can slow aquation by limiting available coordination sites, whereas designing Pt4+ precursors adopting octahedral coordination in circulation but converting to square-planar Pt2+ upon intracellular reduction provides a built-in prodrug activation mechanism [97].
2.4. Competition from endogenous biomolecules
When a metal complex enters a biological system, it is immediately exposed to various endogenous ligands that can bind to metals [134]. This competition primarily occurs at biological interfaces, where proteins, metabolites, membranes, extracellular matrices, and transport systems collectively shape the coordination landscape encountered by metal species. Cells and body fluids are rich in thiols, amines, phosphates, and carboxylates, which can outcompete the intended target, diverting the complex before it approaches its actual site of action [135]. Understanding these competitive interactions is crucial for designing metal-based drugs with sufficient stability to achieve optimal therapeutic performance [136].
GSH is a prevalent intracellular tripeptide (typically 1–10 mM) with a highly nucleophilic thiolate that strongly coordinates with soft metal centers. It serves as a primary detoxifier for electrophiles and metal species. Soft and borderline metal ions, such as Pt2+, Pd2+, Au(+/3+), and Cu(+/2+), are particularly susceptible to forming adducts with GSH. In the case of cisplatin, GSH can replace chloride ligands and bind to Pt2+, forming stable Pt–SG complexes and thereby inactivating the drug. Overexpression of GSH and GSH-related enzymes in tumors is a well-recognized mechanism of resistance to Pt-based chemotherapy [14,[137], [138], [139]]. Cysteine-rich proteins, such as metallothioneins, which contain numerous thiol groups, sequester metals, including Pt, Au, and Cd, by coordinating them in thiolate clusters. In the bloodstream, human serum albumin, present at ∼0.6 mM, provides another crucial thiol site at Cys-34, which frequently captures circulating metal complexes such as Pt2+ or Au + species [140]. These interactions can either detoxify a metallodrug or act as a delivery mechanism, as albumin-bound complexes may be preferentially delivered to tumors via the enhanced permeability and retention effect.
One strategy to reduce competition from cellular thiols is to design metal complexes that remain kinetically inert until they reach their targets. Aurofin, a Au+ phosphine-thiolato drug, is highly prone to thiol attack; in recent approaches, excess innocuous thiols are co-administered to saturate serum binding sites and thereby elevate the fraction of drug that can reach tumors [[141], [142], [143]]. Another approach is to equip the metal complex with an affinity for its target site that exceeds its affinity for GSH. Chelation therapy for heavy metal poisoning illustrates this principle in reverse: agents such as BAL (British Anti-Lewisite) outcompetes endogenous proteins for As3+ by forming stronger chelate complexes [14,144]. Similarly, cysteine-rich proteins, such as metallothionein, albumin (via Cys34), and histones, can strongly bind and sequester metal ions, often redirecting them away from their intended targets [53].
Histidine side chains, with their imidazole nitrogen donors, are less nucleophilic than cysteine thiolates; however, clusters of histidines (e.g., His-tags or poly His motifs) can cooperatively bind metal ions. Consequently, transition metals such as Ni2+, Cu2+, and Zn2 can be readily captured by these sites. Although free histidine in plasma exists at relatively low concentrations, it, along with other amines (amino acids and biogenic polyamines), can still provide additional coordination partners. In practical terms, imidazole-containing drugs or buffering agents can coordinate Zn or Cu and reduce the bioavailable fraction of metallodrugs [145,146].
ATP, ADP, and the phosphate backbone of DNA and RNA offer hard anionic oxygen donors that strongly coordinate with hard metal ions. Lanthanides and Fe3+ readily associate with the phosphate groups. Inside cells, many metal complexes tend to localize near nucleic acids or ATP-rich regions through electrostatic attraction to polyphosphate structures. For example, certain Ru complexes preferentially accumulate in the mitochondria, partly because the high ATP and polyphosphate content provides binding sites that effectively retain the metal [147,148].
The body also relies on specialized metal transporter proteins that can unintentionally bind to metal-based drugs (Fig. 5). Transferrin, the principal Fe3+ carrier, can also bind other hard metal ions such as Ga3+ and Ti4+, and can capture metallodrugs such as titanocene by accommodating Ti4 in its Fe-binding sites. [14,149]. This behavior was observed for titanocene dichloride, where Ti4+ interaction with transferrin altered the pharmacokinetic profile of the drug. Similarly, ceruloplasmin participates in Cu management by oxidizing and binding Cu, with potential consequences for the accumulation of Cu-based drugs [14,150,151]. Furthermore, human serum albumin (∼0.6 mM in plasma) contains multiple metal-binding sites, including the Cys34 thiol, and can bind Cu2+, Zn2+, and even Pt complexes [14]. Albumin binding may reduce the freely diffusible fraction of a metal-based drug, effectively sequestering it, but can also serve as a transporter that delivers the drug to cells [14]. In general, endogenous ligands and carrier proteins vastly outnumber drug molecules; therefore, a metallodrug must effectively “win” in a competitive interaction landscape to reach its target. Consequently, biological interfaces act as selective coordination filters that strongly influence metal transport, accumulation, bioavailability, and therapeutic efficacy.
Fig. 5.

Metal platforms, biointerface targets, functional outcomes and translational applications at biological interfaces. Coordination design features, including geometry, redox activity, kinetics, HSAB preference, and targeting capability, influence the interactions of metal-based platforms with key biomolecular targets at the biointerface. The comparative matrix summarizes the representative associations of therapeutic metals (Pt, Ru, Au), catalytic metals (Cu, Fe), diagnostic lanthanide-based systems, and advanced coordination platforms with DNA, proteins, enzymes, membranes, reactive oxygen species (ROS) networks, and immune components. These interactions contribute to major functional outcomes, including DNA damage, protein regulation, ROS modulation, and immune modulation, which underpin diverse biomedical applications, such as chemotherapy, precision therapy, immunotherapy, catalytic therapy, diagnostic imaging, and theranostic drug delivery. The matrix illustrates the relationships among metal categories, biomolecular targets, functional outcomes, and translational application scenarios at the biological interfaces. This figure is a conceptual illustration synthesized from published studies on metallodrugs, metal-mediated biological mechanisms, and diagnostic metal complexes [121,122].
Several strategies have been developed to bias competitive binding. One approach is to use robust protective carrier ligands that shield the metal center and only open under specific conditions at the target site. For example, Ga3+ or Cu2+ theranostic agents commonly use macrocyclic ligands such as DOTA or NOTA, whose high stability prevents metal stripping by transferrin or albumin, enabling the intact complex to reach tumors and be internalized through specific receptors [152]. Another approach is to exploit kinetic inertness of the metal. As mentioned, Pt4+ complexes are sufficiently stable in circulation to prevent rapid thiol attack and are only reduced to more thiol-reactive Pt2 ions within the reductive intracellular environment, where therapeutic activity is expected [14,53].
2.5. Redox microenvironments and speciation control
Biological microenvironments, including pH, O2, and redox state, profoundly influence metal speciation in vivo [153]. These parameters vary considerably across biological interfaces, creating localized coordination environments that regulate metal activation, transport, and their biological activity. Many tumors and metabolically active cells exhibit a more acidic and reducing environment, with increased GSH:GSSG ratios, which can be used strategically (Fig. 6). Under physiological conditions in blood and normal tissues (pH ∼7.4, moderate redox potential), some metal-based drugs may remain inert, whereas within the acidic, hypoxic tumor core (pH ∼6.5–6.8, GSH/GSSG ∼50–100:1), they can be selectively activated [14]. The physicochemical properties of the surrounding biological interface determine whether metal complexes remain stable, undergo ligand exchange, or are activated in a spatially controlled manner. A well-established example of this is the Pt4+ anticancer prodrugs. Octahedral Pt4+ complexes are usually inert during circulation but are reduced intracellularly by GSH to active Pt2+ species [14,62]. Recent studies indicate that in normoxic tissues, Pt4+ is rapidly re-oxidized and thereby deactivated, whereas in hypoxic tumor regions, re-oxidation proceeds slowly, which effectively retains the reduced Pt2+ drug in the tumor microenvironment [14,[155], [156], [157], [158], [159]]. Thus, reductive activation contributes to spatially localized drug action.
Fig. 6.

Coordination-enabled biomaterial design and translation roadmap at biological interfaces. Metal–ligand design principles, including metal selection, ligand engineering, coordination stability, and stimuli responsiveness, guide the development of coordination-based biomaterials, such as metal–organic frameworks (MOFs), nanocarriers, hydrogels, and ECM-mimetic materials. These systems mediate key biointerface functions, including targeting, controlled release, and catalytic activity, leading to biological responses such as drug delivery, regeneration, immunomodulation, ROS regulation, and tissue repair. The resulting applications span oncology, regenerative medicine, inflammation management, theranostics and precision medicine. This framework highlights the progression from biomaterial design to clinical translation and provides a roadmap for the rational development of next-generation coordination-enabled biomaterials. This figure is a conceptual illustration synthesized from published studies on coordination-based biomaterials, nanomedicine and biointerface engineering [69,154].
Many metallodrugs are designed as redox-activated prodrugs. For example, Pt4+ complexes are relatively stable in the more oxidizing environment of the bloodstream but are reduced inside cells rich in GSH and ascorbate to release active Pt2+ [160]. In well-oxygenated healthy tissues, Pt2+ can be reoxidized to Pt4+, limiting sustained activation. Conversely, within hypoxic tumors, re-oxidation is inefficient, so Pt2+ persists, and drug release is favored locally [161]. Experimental Pt4+ drugs have demonstrated this behavior: normoxic conditions support re-oxidation, whereas hypoxic tumor cells lead to reduction and effectively “trap” the active species in the tumor. Additional redox-active metals, such as Co3+, Cu2+, and Ru3+, can undergo in vivo redox changes that activate their activity. For instance, Co3+–bisphosphine complexes can be reduced to Co2+ under low-oxygen conditions, inducing the selective release of a cytotoxic ligand in tumor tissues. Au3+ complexes are typically unstable in the cellular environment and can act as prodrugs that are immediately reduced to Au+, which then establishes strong bonds with protein thiols [14,162,163].
The mildly acidic pH of tumor interstitial fluid (∼6.5) and the even lower pH of endosomes/lysosomes (∼5–6) can trigger ligand release or hydrolysis for appropriately designed metal complexes [153,164]. For example, Zn–imidazole frameworks such as ZIF-8 dissolve rapidly at pH < 6.5, making them useful as carriers that release their drugs in acidic endosomal compartments. Early Ti-based drugs, such as titanocene dichloride, hydrolyze rapidly in aqueous solutions. By incorporating acidic ligands, chemists have been able to slow this process until reaching acidic environments, where Ti4+ is then released. Conversely, attaching acid-labile groups to a metal complex can make it stable at physiological pH but allow it to dissociate selectively in the low pH of tumors or endolysosomal compartments, ensuring site-specific activation [14,85]. Similarly, chelators can be designed to become unstable at low pH, allowing them to dissociate within lysosomes and liberate their metal ions [165].
Tumor hypoxia affects not only the redox balance but also signaling pathways, such as HIF-1. Several metal complexes have been engineered to exploit these mechanisms, including hypoxia-activated Co complexes and Pt4+ azidoprodrugs which are reduced under low-oxygen conditions to release cytotoxic species [166]. Concurrently, metal ions such as Fe2+/Fe3+ and Cu+/Cu2+ participate in Fenton-type reactions that generate ROS, with their cycling and ROS output differing between oxygen-rich and oxygen-poor regions. Consequently, Fe-based drugs can be more toxic in well-oxygenated tissues, where peroxide-driven ROS production is enhanced, while exhibiting distinct behaviors in hypoxic tumor cores [167]. By carefully adjusting the sensitivity of a complex to redox potential and pH, chemists can design “smart” metallodrugs that remain inert but activate only when they encounter specific biological interfaces characterized by distinct redox gradients, pH profiles, metabolic activity, and molecular compositions [14,168].
Beyond redox activation, the biological performance is governed by dynamic processes occurring at the metal–biointerface. Following exposure to biological fluids, coordination-based materials undergo protein adsorption, interfacial ligand exchange, metal-ion release, and surface restructuring, which collectively influence their biological identity and function. Surface coordination sites regulate biomolecular recognition, cellular uptake, and local reactivity, whereas protein corona formation, ECM interactions, material degradation, and immune recognition further shape biodistribution, biosafety, and therapeutic efficacy [13,169]. Consequently, understanding the dynamic evolution of metal–biointerfaces remains a major challenge for the rational design and clinical translation of coordination-based biomaterials and metallotherapeutics [170].
Despite these advantages, the clinical translation of microenvironment-responsive coordination systems remains a challenge. Although frameworks such as ZIF-8 provide efficient pH-triggered cargo release, their physiological stability may be lower than that of more robust coordination architectures, creating a trade-off between responsiveness and systemic persistence of the carrier. Furthermore, the adsorption of serum proteins can generate a protein corona that alters biodistribution, reduces targeting efficiency, and promotes immune clearance. Additional concerns include uncontrolled metal ion leakage, variability in degradation behavior, and batch-to-batch reproducibility during large-scale manufacturing. Consequently, balancing framework stability, biodegradability, safety, and therapeutic efficacy remains a major challenge for the successful clinical translation of coordination-enabled biomaterials and metallodrugs into clinical practice.
3. Coordination of metal complexes with biomolecules
The interactions of metal complexes with biomolecules are the first level of the meta– biological interface, where coordination chemistry directly modulates the structure and function of biological macromolecules [171]. These interactions occur at highly organized biological interfaces, where molecular recognition, spatial confinement, local ligand availability, and physicochemical gradients collectively govern metal binding, transport, activation, and biological response. Exploring these mechanisms is essential for understanding the native roles of metals in biology and rationally designing metal-based therapeutic agents.
3.1. Metal–DNA interaction
Cisplatin binds to DNA by coordinating to the N7 positions of adjacent guanine bases, forming 1,2‐intrastrand crosslinks (predominantly GG and AG) that induce a pronounced kink in the helix [56,62,172]. Within the nuclear bio-interface, DNA represents a densely packed and highly charged coordination landscape that strongly influences metal accessibility, diffusion and binding selectivity. These bifunctional Pt–guanine adducts bend the helix toward the minor groove and interfere with both replication and transcription [[173], [174], [175]]. The square-planar geometry of Pt2+ favors adjacent-site crosslinking, whereas trans-configured or bulkier Pt complexes tend to form a higher proportion of interstrand or monofunctional adducts [65]. In contrast, many octahedral Ru2+ and Ir3+ complexes often form a single covalent bond with DNA (often with G‐N7) and rely on ancillary aromatic ligands for noncovalent interactions. For example, RuPOPs can coordinate G-N7 while extended π‐systems stack between base pairs or align in the minor groove via π–π interactions and H-bonding [69,154]. Positively charged complexes, including multinuclear Pt agents or cationic Ru species, also interact with DNA through electrostatic attraction to the polyanionic phosphate backbone, which helps reorganize the complex for subsequent covalent binding. Consequently, the metal center geometry and ligand determine whether a complex predominantly intercalates, groove binds, or cross-links DNA [65].
Metal complexes can also selectively interact with abnormal DNA structures. These structurally altered regions represent specialized biological interfaces characterized by disrupted base stacking, altered electrostatic environments, and increased accessibility for metal coordination. For instance, metalloinsertors, typically based on Rh3+ or Ru2+, preferentially bind to thermodynamically unstable sites, such as mismatches or abasic regions. These regions introduce local distortion and excess space within the helix, weakening base stacking and facilitating the intercalation or coordination of bulky complexes with exposed bases. Given this specificity, Rh/Ru/Pt complexes can trigger cleavage or form permanent adducts at aberrant DNA sites, demonstrating how interface-specific structural features can be exploited to achieve selective therapeutic targeting [176,177].
3.2. Metal-protein interaction
As illustrated in Fig. 7, metal complexes interact with proteins via multiple mechanisms. Proteins constitute some of the most abundant and chemically diverse biological interfaces, providing highly organized coordination environments that regulate metal recognition, binding affinity, catalytic activity, and downstream signaling responses. This direct active‐site coordination is a common mode of interaction; labile metal centers such as Pt2+, Au+, Ru2+, or Co3+ bind catalytic residues such as cysteine, histidine, or selenocysteine, thereby inhibiting enzymatic function [178]. For example, auranofin is a Au+ complex that irreversibly binds to the selenocysteine–cysteine motif in the active site of thioredoxin reductase (TrxR), blocking its redox activity. metal complexes can act as cofactors that bind to metalloproteins. Pt2+ or Ru2+ may coordinate with Zn2+ or Mg2+−dependent sites, displacing the native metal or competing with the natural substrate [179,180]. These interactions at non-catalytic metal-binding sites or regulatory cysteines can result in allosteric changes, ultimately disrupting protein conformation and modulating their activities, highlighting how protein biointerfaces translate coordination events into functional biological outcomes [171].
Fig. 7.

Protein coordination and functional modulation at the biological interfaces. Metal coordination with amino acid residues, including cysteine, selenocysteine, and histidine, alters protein structure and function through multiple mechanisms. Coordination at catalytic sites can inhibit protein activity, whereas binding to regulatory regions can induce allosteric modulation. Metal complexes may also compete with endogenous metal ions, disrupt disulfide bonds, perturb protein conformation, or displace structural metal cofactors, such as Zn2+. These coordination-mediated interactions collectively regulate protein activity, stability, and biological function, highlighting protein coordination as a central mechanism through which metal-based therapeutics modulate biological processes at the biointerface. This figure is a conceptual illustration synthesized from published studies relevant to the mechanisms and applications depicted [102].
Metal-protein interactions also occur via disulfide bonds and thiol groups. These sulfur-rich microenvironments create highly favorable coordination interfaces for soft metal centers and strongly influence the biological activity of metallodrugs. Consistent with the HSAB principles discussed in Section 2.1, soft metal centers preferentially coordinate with sulfur-rich protein interfaces [181]. Auranofin and related Au+ complexes form S–Au–S adducts, effectively “mimicking” or reshaping disulfide patterns and disrupting protein structure. Because of this broad thiol reactivity, many metallodrugs inhibit multi-target inhibition; auranofin not only inactivates TrxR but also binds to cysteine proteases, protein kinases, and GSH transferase [182,183]. It can further target Zn-finger proteins by coordinating with cysteine/histidine ligands and displacing Zn2+ [14].
3.3. Metal-lipid interaction
Metal complexes can strongly interact with lipid bilayers [184,185]. The lipid membrane is a dynamic biological interface that controls cellular entry, molecular transport, signal transduction, and metal distribution in biological systems. Cationic complexes, such as many Ru2+ and Pt2+ compounds, are attracted to negatively charged phospholipid headgroups (Fig. 8). At this membrane interface, electrostatic interactions, lipid composition, membrane curvature, and local hydration layers collectively determine metal accumulation and membrane-associated activities. Cations can coordinate the phosphate oxygens on membrane lipids, altering the bilayer organization and mechanical properties [186]. For example, Li+ ions bind to phospholipid phosphate groups and increase membrane stiffness, and a metal complex with an accessible coordination site can bind to a lipid phosphate group. Amphiphilic metal complexes have hydrophobic ligands that enter the membrane interior, whereas the charged metal remains near the aqueous surface. This amphiphilic behavior promotes partitioning into a bilayer and disruption of the lipid matrix [187,188].
Fig. 8.

Metal–lipid interactions at the biological interfaces. Cationic, amphiphilic, and multinuclear metal complexes interact with lipid membranes via electrostatic association, membrane insertion, coordination-mediated binding, and supramolecular assembly. These interactions alter membrane organization, increase membrane stiffness, disrupt membrane integrity, and promote the generation of ROS and ion leakage. This membrane perturbation contributes to cellular dysfunction and apoptosis. The figure illustrates the representative mechanisms through which metal-based systems modulate the membrane structure and function at biological interfaces. This was synthesized from published studies relevant to the depicted mechanisms and applications [14,149].
Many metallodrugs generate ROS that induce lipid peroxidation (Table 3). As lipid membranes serve as major oxidative interfaces, membrane-associated ROS generation frequently amplifies biological damage and therapeutic efficacy. Polynuclear Pt, Au, and Ru complexes have been found to catalyze ROS formation, especially under light irradiation, thereby promoting oxidative damage to the membrane [217]. Studies on antibacterial metallodrugs have shown that membrane rupture often results from a combination of ROS-driven lipid oxidation and strong cationic/hydrophobic interactions with the bilayer [218,219]. The positively charged, lipophilic nature of these complexes leads to lipid rearrangement, increased permeability, and leakage, as their amphiphilic structures drive the initial electrostatic association, followed by destabilization of the bilayer [220].
Table 3.
Microenvironment-responsive coordination platforms and translational design strategies.
| Trigger Condition | Metal Platform | Coordination State in Circulation | Activation Mechanism | Active Species Generated | Target Compartment | Therapeutic Outcome | Translational Advantage | Ref. |
|---|---|---|---|---|---|---|---|---|
| High GSH | Pt(IV) | Octahedral inert | Reductive activation | Pt(II) | Nucleus | DNA crosslinking | Tumor selectivity | [189] |
| Hypoxia | Co(III) complexes | Stable Co(III) | Reduction to Co(II) | Cytotoxic ligand release | Tumor core | Hypoxia-specific killing | Reduced systemic toxicity | [190] |
| Acidic pH (∼6.5) | ZIF-8 (Zn) | Stable at pH 7.4 | Framework dissolution | Zn2+ + payload | Endosome | Drug release | Endosomal targeting | [191,192] |
| Low O2 | Ru(III) | Inert Ru (III) | Reduction to Ru(II) | Active Ru(II) | Hypoxic tumor | Selective cytotoxicity | Microenvironment targeting | [193,194] |
| Light (λ = 450 nm) | Ru(II) polypyridyl | Dark-stable | Photo-ligand dissociation | Aquated Ru(II) | Cytosol | DNA binding | Spatial control | [117] |
| Elevated ROS | Cu(II) complexes | Stable | Fenton-like cycling | •OH radicals | Lipid membranes | Ferroptosis | Synergistic ROS therapy | [195,196] |
| High ATP | Ga(III) -DOTA | Chelated stable | Receptor-mediated uptake | Intact complex | Tumor cell | Imaging + therapy | Stability in blood | [195,196] |
| Lysosomal pH (∼5) | Acid-labile Pt complex | Stable neutral | Ligand hydrolysis | Pt(II) | Lysosome | Organelle damage | Intracellular activation | [197,198] |
| High transferrin | Titanocene | Labile Ti(IV) | Transferrin binding | Ti–Tf complex | Tumor | Altered PK | Receptor targeting | [199,200] |
| Elevated polyphosphate | Ln(III) complexes | Hard–hard stable | Electrostatic retention | Ln3+ localized | Mitochondria | Organelle imaging | Subcellular selectivity | [201] |
| High NADH | Ir(III) | Inert | Redox-triggered activation | Reduced Ir species | Mitochondria | ROS burst | Metabolic targeting | [202,203] |
| GSH depletion | Fe(II)-salen | Labile Fe2+ | Redox cycling | Lipid peroxides | Membrane | Ferroptosis | Bypass apoptosis resistance | [204,205] |
| Enzyme overexpression (MMP) | Metal–peptide hybrids | Shielded | Peptide cleavage | Active metal core | Tumor ECM | Local release | Protease specificity | [206] |
| High chloride (blood) | Cisplatin | Stable (Cl-rich) | Aquation intracellular | [Pt(NH3)2(H2O)2]2+ | Nucleus | DNA damage | PK modulation | [207] |
| HIF-1α signaling | Os(II) arene | Inert | Protein binding | HIF inhibition | Hypoxic cells | Anti-angiogenesis | Pathway-specific action | [208,209] |
| Reducing mitochondria | Au(III) | Partially stable | Reduction to Au(I) | Thiol-binding Au(I) | Matrix | TrxR inhibition | Organelle selectivity | [210] |
| Elevated lipid peroxides | Cu-phenanthroline | Stable | Redox cycling | ROS amplification | Membrane | Ferroptosis | Synthetic lethality | [211,212] |
| Acidic tumor stroma | MOF-Pt hybrid | Stable MOF | Framework degradation | Pt(II) | Tumor | Sustained release | Controlled kinetics | [212,213] |
| Light + O2 | Ir photosensitizer | Dark stable | Singlet oxygen generation | 1O2 | Tumor | Photodynamic therapy | Non-invasive control | [214,215] |
| Inflammatory ROS | Fe3O4 nanozyme | Stable | Peroxidase-like catalysis | ROS | Macrophages | Immune activation | Immunotherapy synergy | [216] |
The role of metal complexes as synthetic transmembrane ion channels or carriers well established [221]. This strategy directly exploits the membrane biointerface to regulate ion flux, cellular homeostasis, and therapeutic responses through coordination-driven transport mechanisms. Recent studies have shown that Pt2+ complexes with H-bond donor ligands are efficient chloride anionophores. Depending on the design, these complexes either exchange ligands with Cl– via a labile mechanism or retain their original ligands and bind Cl– via H-bonding in a fixed-ligand mechanism. In vesicle assays, these Pt-based carriers transport Cl– across lipid bilayers and induce apoptosis by disrupting ionic gradients [158,159]. More generally, MOFs, such as coordination cages and self-assembling metal helices, have been engineered to be inserted into membranes to facilitate ion or small-molecule transportation. Consequently, these metal-based systems demonstrate how coordination chemistry can be used to create synthetic membrane channels and modulate transmembrane flux for therapeutic purposes [222].
Although membrane-targeting metal complexes can enhance therapeutic efficacy through improved cellular interactions, the widespread distribution of membrane lipids in healthy tissues may reduce selectivity and increase off-target toxicity. Whether membrane disruption primarily contributes to therapeutic benefits or dose-limiting toxicity remains dependent on the disease context and is still incompletely understood.
3.4. Metal interaction with glycocalyx and carbohydrate
The cell surface glycocalyx, composed of glycoproteins, glycolipids, and polysaccharides, is increasingly recognized as a valuable target for metal complexes (Fig. 9). As the outermost biological interface separating cells from their surrounding microenvironment, the glycocalyx plays a critical role in molecular recognition, cellular communication, immune regulation and therapeutic targeting. One strategy involves the binding of carbohydrate ligands to metallodrugs. Many tumor cells overexpress glucose transporters (GLUTs) and lectins; therefore, conjugating sugar to a metal complex can utilize these natural uptake pathways. Pt2+ and Ru2+ complexes bearing glucose or galactose moieties have been developed to mimic native sugars [62]. These “glycoconjugates” show enhanced accumulation in highly glycolytic cancer cells via GLUT-mediated transport, illustrating how interface-specific carbohydrate recognition can improve selective delivery and cellular uptake. Beyond cancer, metal–sugar conjugates are being explored for targeting pathogens and other disease states by leveraging specific lectin–carbohydrate recognition pathways [223]. As shown in Fig. 9, metal-binding fragments can also be used to target carbohydrate-binding proteins within the glycocalyx. These metal-binding fragments effectively block the sugar recognition site and impede interactions with sialylated or mannosylated glycans. This demonstrates how coordination chemistry can be used to disrupt glycan–protein interactions at the glycocalyx biointerface, thereby modulating cell adhesion, immune recognition, and disease-associated signaling pathways [224]. Despite the attractive targeting potential of glycocalyx-directed systems, substantial heterogeneity in glycan expression among tissues and disease states may limit the reproducibility of targeting and therapeutic precision. The differences between experimental models and human glycocalyx architecture further complicate the translational prediction of targeting performance. These coordination-mediated interactions with glycocalyx components illustrate how interface-specific carbohydrate recognition can be engineered to improve selective delivery and modulate cell adhesion, immune recognition, and disease-associated signaling at the outermost biological interface.
Fig. 9.

Glycocalyx-targeting strategies at the biological interface. Glycoproteins, glycolipids, mucins, lectins, and cell surface receptors within the glycocalyx are key recognition elements that can be exploited by coordination-based systems. Metal centers, glycan ligands, and responsive linkers collectively influence glycan recognition, receptor binding, and receptor-mediated cellular uptake. These interactions affect intracellular trafficking and target engagement, ultimately contributing to enhanced therapeutic performance through improved efficacy, selectivity, and safety of the drug. The figure illustrates the relationships between glycocalyx recognition, coordination design, cellular uptake and therapeutic response at biological interfaces. This is a conceptual illustration synthesized from published studies relevant to the depicted mechanisms and their applications [152].
4. Coordination chemistry in cellular pathways
Once inside the cell, metal complexes can modulate critical pathways and trigger cell death. This section highlights the central mechanisms through which coordination-based therapeutics exert their biological effects. These biological effects are governed by a series of intracellular biointerfaces, including mitochondrial membranes, organelle boundaries, protein-signaling networks, and immune cell communication interfaces, which collectively determine the localization, activation, and biological consequences of metal complexes.
4.1. Metal-mitochondria interaction and redox disruption
Mitochondria are common targets for metal-based drugs [225]. The mitochondrial membrane is a highly specialized biointerface characterized by a strong transmembrane potential, unique lipid composition, and densely organized redox-active proteins, making it particularly susceptible to coordination-driven therapeutic interventions. Their strongly negative membrane potential (∼–150 mV) attracts lipophilic cations and creates an electrochemical interface that preferentially accumulates positively charged metal complexes in the mitochondrial matrix. Therefore, positively charged and moderately lipophilic metal complexes, such as cyclometalated Ir3+, RuPOPs, or Au(+/3+) complexes, tend to accumulate within the mitochondrial matrix [226]. Inside the mitochondria, these complexes encounter mitochondrial DNA and a dense set of redox-active proteins. Many complexes are specifically designed to interfere with the electron transport chain [227]. For instance, a mitochondria-localized Au3+ thiosemicarbazone has been reported to disrupt respiratory complexes, leading to a loss of membrane potential (ΔΨm) and a significant increase in ROS [228]. High ROS levels damage the mitochondrial lipids and DNA. At the mitochondrial biointerface, these oxidative events disrupt membrane integrity, electron transport, and metabolic signaling, ultimately amplifying therapeutic responses. Thus, it promotes cytochrome c release and induces caspase-dependent apoptosis. Similarly, various Ir3+ and Ru2+ complexes cause mitochondrial swelling and membrane disruption, triggering intrinsic apoptotic pathways (Erxleben, 2019). This “mitochondrial poisoning” strategy is particularly effective because many cancer cells are heavily dependent on mitochondrial metabolism and experience increased oxidative stress [227,229]. By converting mitochondria into ROS-generating hubs, metal complexes preferentially kill tumor cells. Importantly, numerous mitochondria-directed metallodrugs have been engineered as prodrugs that remain relatively inert until they reach the reductive, thiol-rich mitochondrial matrix, where they are converted into active species, for example, Pt4+ is reduced to Pt2+ [230,231]. Although mitochondrial targeting can improve therapeutic selectivity, excessive ROS generation can damage healthy tissues and contribute to dose-limiting toxicity. Achieving an optimal balance between mitochondrial disruption and systemic safety remains an important challenge in translational development.
4.2. Metal-mediated modulation of signaling pathways
Metal complexes affect oxidative stress and modulate key kinase and transcriptional pathways. These signaling networks function as dynamic molecular biointerfaces that integrate extracellular stimuli, intracellular redox status, and coordination-mediated biochemical events. For instance, RuPOPs can suppress the MAPK/ERK and PI3K/Akt signaling pathways. RuPOP inhibits focal adhesion kinase (FAK) activity in breast cancer cells, leading to a significant decrease in ERK and Akt phosphorylation. Suppression of the PI3K/Akt-MAPK cascades impairs cell migration and improves TRAIL-induced apoptosis [232]. Au+ complexes are well-recognized modulators of the NF-κB pathway. The antirheumatic drug auranofin covalently binds IKKβ at Cys-179, irreversibly blocking IKK activity, thereby preventing IκBα phosphorylation and NF-κB nuclear translocation [233]. Similarly, Au+ and Au3+ species can inhibit TrxR, thereby disrupting redox signaling upstream of NF-κB. In contrast, some metal complexes have been designed to interfere with hypoxia-responsive signaling. For example, an organo-osmium2+ arene complex was engineered to target the HIF-1α–p300 interface and inhibit HIF-1α-driven gene transcription under low oxygen conditions [234].
Overall, metal–ligand complexes modulate signaling through two key mechanisms, as summarized in Sections 2.4, 2.5: interface-dependent redox regulation and direct coordination with signaling proteins. These combined effects modulate key pathways, including PI3K/Akt, MAPK, NF-κB, and HIF-1α, shifting cellular outcomes from proliferation and survival toward stress responses and apoptosis, demonstrating how metal complexes reshape intracellular signaling interfaces to redirect cellular fate from survival toward stress adaptation and cell death [232].
4.3. Metal-mediated apoptosis, autophagy, and ferroptosis
Metal complexes can trigger several distinct forms of programmed cell death, including apoptosis, autophagy, and ferroptosis. Many coordination drugs induce the intrinsic (mitochondrial) apoptotic pathway [171]. For instance, cyclometalated Ir3+ and Au3+ complexes selectively accumulate in mitochondria, causing organelle swelling, inner membrane rupture, cytochrome c-release, and ultimately activating caspases [235]. These complexes often cause significant mitochondrial dysfunction and increase ROS production, which induces damage to DNA and membrane lipids, ultimately promoting apoptosis. Furthermore, Au3+–tetrahydroisoquinoline compounds can induce a classic ER stress–CHOP response, leading to apoptosis and pro-death autophagy [225,235]. Dual induction of apoptosis and autophagy is crucial, since autophagy can clear damaged components; however, when overactivated, it amplifies cell death signaling [236]. In addition, several metallodrugs can induce autophagy (cell self-digestion), which may function either as a pro-survival response or a cell death mechanism [236]. An earlier study reported that Au3+ compounds promote autophagosome formation alongside classical apoptotic markers [235]. In cases where apoptosis is impaired, autophagy can act as an alternative route to eliminate damaged cells.
Ferroptosis is an Fe-dependent, non-apoptotic form of cell death characterized by GSH depletion and extensive lipid peroxidation. Metal complexes can induce ferroptosis by disturbing the cellular redox balance [237,238]. For example, Cu2+-phenanthroline and Fe2+-salen complexes undergo redox cycling with H2O2 to produce hydroxyl radicals via Fenton chemistry, rapidly depleting GSH and inactivating GPX4. This promotes the uncontrolled peroxidation of polyunsaturated membrane lipids. As described earlier, ferroptotic cells exhibit increased mitochondrial membrane density and loss of cristae, with depleted GSH and inactive GPX4, enabling Fe2+-mediated lipid oxidation in a Fenton-like manner [237]. Hence, redox-active Cu and Fe complexes serve as ferroptosis inducers by simultaneously generating ROS and disabling antioxidant defenses, resulting in lipid ROS accumulation and irreversible membrane injury [237,239].
4.4. Immune cell response to metal complexes
Coordination-based therapeutics can profoundly influence immunity [238]. A key phenomenon is immunogenic cell death (ICD), in which certain metal drugs trigger tumor cell death in a way that releases danger-associated molecular patterns (DAMPs) and activates both innate and adaptive immunity. For instance, cancer cells treated with oxaliplatin or Ru complexes expose calreticulin and release ATP and HMGB1, which in turn stimulate dendritic cells and cytotoxic CD8+ T cells- [240]. Recent evidence highlights that several metal complexes are validated ICD inducers and are capable of provoking protective antitumor immune responses in vivo [240,241]. Therefore, the tumor-metal “nexus” can act as a self-vaccinating system for the tumor.
On the innate immune side, metal ions and particulate forms can prime macrophages and inflammasomes. Particulate metal debris, such as TiO2, Co, or Ni, is known to activate the NLRP3 inflammasome in macrophages (often after TNF-α priming), resulting in IL-1β secretion and an M1-like inflammatory phenotype [242]. Classical adjuvants, such as aluminum hydroxide (alum), act in part via macrophage activation and inflammasome signaling [243]. Similarly, metal oxide nanoparticles (NPs) (e.g., Fe oxide and Co ferrite) are being developed as vaccine adjuvants to enhance antigen presentation [244]. Thus, metal coordination compounds can reshape the tumor-immune interface by eliciting ICD and pro-inflammatory signaling in tumor cells while modulating T cells, macrophages, and dendritic cells. Notably, Fe-based coordination nanomaterials can induce ferroptosis to promote DC maturation and increase CD8+ T cell-infiltration in mouse models [245], indicating how metal–biological interface chemistry links direct cytotoxic effects with immunotherapy [240]. However, the long-term immunological consequences of chronic metal exposure remain unclear. Furthermore, the differences between experimental tumor models and human immune systems continue to complicate the translation of immunomodulatory metal complexes into clinical practice.
5. Coordinated therapeutics: metal-based drugs at the bio-interface
5.1. Platinum complexes
Pt2+ complexes remain the standard for coordination-based chemotherapy. Their therapeutic activity is primarily mediated at the nuclear DNA interface, where platinum coordination alters the genomic structure, transcriptional activity, and DNA repair processes. Cisplatin (cis-[PtCl2(NH3)2]) exerts its cytotoxicity by forming 1,2-GpG interstrand DNA crosslinks, thereby inhibiting replication. It is effective against a wide range of solid tumors; however, its poor selectivity results in dose-limiting nephrotoxicity, neuropathy, and the development of resistance. Second-generation analogs have been developed to address these limitations [246]. Carboplatin replaces the two chlorides with a cyclobutane-1,1-dicarboxylate chelate, which slows aquation and reduces off-target nonspecific reactions [247]. Oxaliplatin uses a bulky DACH ligand to generate distinct DNA adducts that evade recognition and repair pathways, making it effective in settings where cisplatin is ineffective, such as in colorectal cancer. Satraplatin is an orally bioavailable Pt4+ prodrug carrying acetate ligands; it is reduced in vivo to activate Pt2+ species with broader tissue distribution and reduced renal toxicity compared with cisplatin [247].
As discussed in Section 2.5, Pt(IV) complexes exploit interface-dependent redox activation to achieve the controlled intracellular release of Pt(II), enabling selective activation within tumor-associated microenvironments. Many Pt4+ designs seek to mitigate cisplatin-like side effects by adding tumor-targeting moieties or solubilizing groups [97]. Coordination chemistry has also been applied to enhance the delivery of Pt. Liposomal cisplatin (Lipoplatin) and polymer-Pt conjugates, such as NC-6004 (a PEG-carboxylate-Pt framework), improve tumor accumulation and reduce systemic toxicity, in part, through the enhanced permeability and retention effect. Additional strategies involve the use of Pt-loaded NPs or MOFs that combine controlled Pt release with photothermal therapy. Across these approaches, the aim is to deliver active Pt2+ preferentially to tumor tissue while reducing exposure to healthy organs [97]. However, despite these advances, platinum-based delivery systems continue to face challenges related to heterogeneous tumor accumulation, premature drug release, manufacturing complexity, and variable clinical translation.
5.2. Ruthenium complexes
Ru offers highly versatile chemistry, including accessible oxidation couples and rich photophysical properties. Importantly, Ru complexes interact with multiple biological interfaces, including the ECM, DNA, mitochondrial membranes, and tumor-associated proteins, providing mechanistic versatility beyond that of conventional platinum drugs. These complexes follow two major therapeutic themes: redox-active Ru(2+/3+) and photoactivated Ru2+ [248]. In the redox-active Ru(2+/3+) approach, Ru3+ compounds such as NAMI-A and KP1019 (and its sodium salt KP1339), which carry indazole ligands, have progressed to clinical trials. NAMI-A exhibited significant anti-metastatic effects in mouse models, with modest direct cytotoxicity. Its activity is considered to depend on the in vivo reduction of Ru3+ to Ru2+, followed by interaction with proteins and disruption of metastasis-related pathways. KP1019/KP1339 exhibits broader tumor cell cytotoxicity and has been investigated particularly in liver cancer [249]. Photoactivated Ru2+ is another commonly followed therapeutic theme when using Ru complexes, where luminescent RuPOPs can be designed to remain largely inert in the dark but become highly cytotoxic upon light exposure [250]. These systems act as photodynamic or photochemotherapeutic agents; for example, [Ru(bpy)2(dppz)]2+ derivatives can generate singlet oxygen or cause direct DNA cleavage upon irradiation [251]. Arene-Ru2+ complexes such as RAPTA compounds generally act as stable prodrugs, demonstrating antiangiogenic effects through interactions with the ECM and inhibition of metalloproteinases. These effects illustrate how extracellular biointerface properties regulate tumor invasion, angiogenesis, and therapeutic responses. Similarly, RuPOPs intercalate into DNA and can be structurally modulated to reduce their toxicity in normal cells [232].
5.3. Copper and iron complexes
Cu2+ and Fe3+ complexes are often employed as Fenton catalysts to overwhelm cancer cells. These systems primarily function at redox-active biological interfaces characterized by elevated H2O2 levels, altered metabolism, and disrupted antioxidant homeostasis. For example, Cu2+-phenanthroline and related diamine complexes can undergo redox cycling between Cu2+ and Cu+, where intracellular reductants (e.g., GSH) reduce Cu2+ to Cu+, which then reacts with O2 or H2O2 to produce superoxide and hydroxyl radicals. This process depletes cellular reducing equivalents (GSH/NADPH) and causes oxidative damage to biomolecules [228]. Similarly, organoiron (ferrocene-based) complexes and Fe3+ porphyrins catalyze the conversion of H2O2 into •OH, promoting the lethal oxidation of membranes and DNA. As tumors often show increased H2O2 levels, these Fenton-active metal agents can achieve a degree of selectivity for cancer cells [252]. This selectivity arises from interface-specific redox characteristics rather than intrinsic metal toxicity. In addition to direct ROS generation, some Fe- and Cu-based drugs chelate thiols and inhibit antioxidant enzymes, such as catalase or TrxR, further amplifying oxidative stress [237].
5.4. Gold complexes
Au-based anticancer drugs predominantly function through the covalent modification of thiol groups. Their biological activity is governed by sulfur-rich protein interfaces that provide highly favorable coordination environments for Au(I) and Au(III) species. Linear, strongly thiophilic Au+ complexes carrying phosphine or N-heterocyclic carbene ligands effectively target cysteine- and selenocysteine-containing proteins. Auranofin, which is approved for the treatment of rheumatoid arthritis, exemplifies this model [253]. It primarily inhibits TrxR, resulting in thioredoxin oxidation, disruption of the redox balance, and induction of apoptosis. Au complexes also inhibit the NF-κB pathway by alkylating IKKβ (Cys-179). Next-generation Au+–NHC complexes are frequently engineered as lipophilic cations that accumulate in mitochondria, where they induce ROS production [254]. Au3+ species generally act as prodrugs that are reduced by cellular thiols to Au+, which then forms covalent bonds with the protein cysteine. Au3+–porphyrin and Au3+–biotin conjugates have been used to selectively deliver Au3+ to cancer cells, where they bind to intracellular proteins [255,256]. Ultimately, both Au+ and Au3+ complexes inhibit key redox enzymes (e.g., TrxR and GSH reductase) and deubiquitinases, causing oxidative and proteotoxic stresses. Notably, Au drugs also suppress anti-inflammatory activity by modulating toll-like receptor pathways and NF-κB signaling, thereby reducing cytokine production [254]. Therefore, Au (+/3+) anticancer agents work by “sulfur trapping” selectively targeting thiol-rich protein interfaces involved in redox regulation, inflammatory signaling, and cellular survival [257].
5.5. Lanthanide complexes
Lanthanide3+ ions, particularly Gd3+, Eu3+, and Tb3+, are commonly used in imaging and theranostic applications because of their magnetic and optical characteristics [258]. These systems function at diagnostic biointerfaces, where coordination-controlled magnetic and optical responses enable the visualization of biological processes. Gd-based chelates such as Gd–DOTA and Gd–DO3A are well-established T1 MRI contrast agents, and recent innovative approaches incorporate photosensitizers or radioisotopes into these chelators to create combined imaging-therapy (theranostic) agents [258]. Eu3+ and Tb3+ complexes are intrinsically luminescent in the visible and near-infrared ranges and can be used as optical probes. For example, Eu3+ cryptates and Tb3+ phenanthroline complexes can be used to monitor cellular drug uptake using fluorescent tracking [259]. Lanthanides have also been incorporated into NPs for energy conversion [73]. Upconversion NPs (UCNPs) co-doped with Yb3+/Er3+ or Yb3+/Tm3+ absorb NIR light and emit in the visible or UV range, enabling activation of conjugated photosensitizers for photodynamic therapy (PDT) [260]. Hybrid systems, such as lanthanide–porphyrin frameworks, merge MRI contrast (from the lanthanide core) with PDT from porphyrin ligands. Similarly, Gd-oxyfluoride nanocrystals doped with thulium or erbium have been used for simultaneous MRI and PDT, taking advantage of both the magnetic relaxation properties and characteristic lanthanide emissions [261]. Hence, lanthanide coordination compounds serve as multifunctional imaging–therapy platforms, in which the lanthanide center offers high relaxivity and distinctive luminescence, while the attached ligands or nano-scaffolds provide the therapeutic function.
5.6. Enzyme-mimetic coordination therapeutics
A new paradigm is to use coordination-based assemblies as enzyme-mimicking catalysts (“nanozymes”) that exert therapeutic reactions in situ [262]. These systems create artificial catalytic biointerfaces that emulate natural enzymatic functions while enabling localized control of biochemical reactions. Fe- and Ce-containing materials are classic examples of this emerging approach (Fig. 10). For instance, Fe3O4 NPs exhibit peroxidase-like activity and convert endogenous H2O2 into •OH radicals via Fenton chemistry within tumors. Similarly, MOFs and coordination polymers (e.g., Fe–MIL-53 or Mn–based MOFs) can be engineered to exhibit combined oxidase, catalase, and peroxidase activities [263]. A recent study used a modified quasi–Fe–MIL-53(Fe) nanozyme generated by partial ligand removal, which showed enhanced peroxidase/catalase mimicry and GSH-depleting capability [245]. This Fe-based nanozyme simultaneously generates ROS and depletes cellular GSH, thereby inducing ferroptosis and ICD. In vivo, it promotes dendritic cell maturation and enhances CD8+ T cell infiltration [245].
Fig. 10.

Catalytic design framework linking metal centers, catalytic modes, ROS modulation, biological outcomes, and therapeutic applications at the biological interfaces. Catalytic metals (Fe, Cu, Mn, and Co), noble metals (Pt, Au, and Ru), and advanced nanozyme platforms (MOFs, single-atom catalysts, and hybrid systems) regulate biological activity through ROS generation, scavenging, and stimuli-responsive activation. These catalytic processes drive ROS elevation, reduction, and redox reprogramming, leading to tumor cell death, inflammation resolution, immune activation, and tissue protection. The resulting therapeutic applications include catalytic oncology, nanozyme therapy, immunotherapy, theranostics and precision medicine. The framework highlights key design principles linking metal selection, catalytic efficiency, ROS control, target specificity, and therapeutic outcomes for the rational development of next-generation catalytic metallotherapeutics. This is a conceptual illustration synthesized from published studies relevant to the depicted mechanisms and their applications [87].
Other designs integrate multiple catalytic steps into a single framework. One such system combined a Cu2+-based glucose oxidase mimic (which produces H2O2 from glucose) with an Fe3+–porphyrin peroxidase mimic, which converts H2O2 into •OH). This cascade depletes glucose and GSH while generating increased ROS levels, effectively starving and oxidizing cancer cells [264]. Beyond Fe and Cu systems, single-atom catalysts (e.g., Co or Mn atoms doped in carbon matrices) can exhibit SOD-like or oxidase-like activities, enabling context-dependent ROS scavenging or generation [265]. In all these systems, coordination chemistry defines enzyme-like catalytic centers, and metal ions in specific ligand environments replicate the active sites of natural oxidases, peroxidases, or phosphatases [171]. These catalytically active therapies blur the distinction between drugs and enzymes, using metal coordination to drive redox transformations (oxidation of cellular substrates and reduction of O2) at the biological interface [245]. They provide a versatile platform for synergy, as oxidoreductase-mimicking nanozymes can sustain ROS cascades and ICD, complementing the effects of conventional metal-based drugs [245]. Compared to conventional metallodrugs, nanozymes offer catalytic amplification, multifunctionality, and prolonged therapeutic activity. However, challenges related to biodistribution, long-term biosafety, and clinical scalability remain significant barriers to their translation.
5.7. Comparative perspectives on metallodrugs and delivery platforms
Different classes of metallodrugs and coordination-based delivery systems have distinct strengths and limitations. Platinum drugs remain the most clinically validated agents; however, they suffer from resistance and cumulative toxicity. Ruthenium complexes offer broader mechanistic flexibility and anti-metastatic potential, although clinical evidence remains limited [266]. Gold complexes preferentially target sulfur-rich proteins and redox pathways but require improved selectivity [267]. Copper- and iron-based systems enable catalytic ROS amplification but may induce off-target injuries. Similarly, MOFs, nanozymes, ferritin nanocages, and polymeric carriers offer superior payload loading and multifunctionality, although manufacturing complexity, scalability, and regulatory approval remain major challenges [268]. Therefore, platform selection should be guided by the disease type, target bio-interface, safety profile, and therapeutic objectives.
6. Coordination-driven nanomedicine and drug delivery
6.1. Metal–organic frameworks
MOFs are highly porous and adjustable coordination networks that can be designed as smart, stimulus-responsive drug delivery systems [269]. As programmable nano-biointerfaces, MOFs regulate transport, molecular recognition, and controlled release in response to local biological signals. Prototypical crystalline scaffolds, such as ZIF-8, MIL-100, HKUST-1, and UiO-66, can be engineered to respond to biochemical signals characteristic of tumor microenvironments. These systems exploit the interface-responsive activation mechanisms summarized in Section 2.5. Zn–imidazolate-like ZIF-8 is stable at neutral pH but rapidly decomposes under weakly acidic environments. In practice, ZIF-8 particles loaded with doxorubicin (DO) break down in endosomes (pH ~ 5–6), releasing their active chemicals [270]. A previous study reported a ZIF-8 system in which DOX was sequestered through a pH‐labile linker and shielded by a folic-acid shell; at low pH, the shell dissociates, the ZIF-8 cage collapses, and the acid-sensitive DOX prodrug is cleaved, triggering drug release [270]. Introducing disulfide bonds or redox-active metal nodes enables MOFs to respond to high GSH levels in cancer cells. For instance, a UiO-66-NH2 MOF bearing folate and disulfide-containing linkers was engineered such that intracellular GSH cleaved the disulfides, oxidizing GSH to GSSG and promoting the controlled release of co-loaded drugs [271]. Similar designs use Cu2+ or Fe3+ nodes that can be reduced or participate in Fenton chemistry, simultaneously depleting GSH and liberating the bound drugs. The MOF surface can be grafted with peptides or polymer gates that serve as substrates for tumor-associated enzymes, including matrix metalloproteinases and hyaluronidase [272]. These molecules keep the pore closed until they encounter a specific protease, at which point cleavage opens the framework and enables local drug release. MOFs are “stimuli-responsive platforms” whose payloads can be programmed to occur under the acidic, reductive, or enzymatic conditions characteristic of tumor microenvironments [14].
Despite their considerable potential, MOFs face several translational challenges. Compared with highly stable frameworks such as UiO-66, ZIF-8 provides superior pH responsiveness but reduced physiological stability, creating a trade-off between controlled release and systemic persistence in vivo. Furthermore, the adsorption of serum proteins can generate a protein corona that alters biodistribution, reduces targeting efficiency, and promotes immune clearance. Additional concerns include metal ion leakage, framework degradation variability, batch-to-batch reproducibility, large-scale manufacturing, and regulatory approval. Consequently, balancing stability, biodegradability, safety, and therapeutic efficacy remains a challenge for the clinical translation of MOF-based therapeutics [273].
6.2. Polymeric coordination nanocarriers
Metal–ligand crosslinks can also be used to stabilize polymer-based drug delivery systems [160]. Amphiphilic polymers or polysaccharides equipped with ligand groups, such as carboxylates, catechols, or histidines, can be interconnected by divalent or trivalent metal ions to form self-assembled networks [274]. Representative examples of this system include the following:
Catechol–Fe3+ hydrogels: Chitosan modified with catechol groups (mimicking mussel adhesive chemistry) forms an injectable, self-healing hydrogel (CAT-Gel) upon the addition of Fe3+. This Fe3+-catechol hydrogel can encapsulate both hydrophilic (DOX·HCl) and hydrophobic (docetaxel) drugs and release them sequentially over >40 days [275]. Fe3+ coordination offers shear-thinning behavior, strong adhesion, and dynamic network reformation after mechanical disruption [276].
Zn2+ carboxylate polymer networks: Polymers rich in carboxylate sidechains, such as acrylic/siloxane hybrids, can be crosslinked by Zn2+to form rigid matrices. A PDMS polymer containing –COO- groups, when crosslinked by Zn2+, became extremely stiff at room temperature [277]. Crucially, Zn–carboxylate interactions are thermally labile, as heating shifts the equilibrium toward bond dissociation, softening the gel, which then rapidly re-stiffens upon cooling [[277], [278], [279]]. This thermoresponsive modulus switching, spanning several orders of magnitude, indicates how dynamic metal-ligand bonds can enable tunable mechanics and self-healing properties [280,281].
Ion-switchable matrices: Classical systems include Ca2+-crosslinked alginate “egg-box” gels and Fe2+/Fe3+–crosslinked alginate scaffolds. In such systems, changing the pH or adding a competing chelator (e.g., EDTA) disrupts the metal crosslinks, enabling controlled gel dissolution and the release of the encapsulated drug [282].
6.3. Coordination-enabled targeting ligands
Transition metals and their chelating ligands are commonly used to attach targeting and imaging moieties to nanocarriers [283]. A well-established approach uses macrocyclic chelators, including DOTA, NOTA, and NODA, to complex radiometals. When these ligands are conjugated to peptides or NPs, they can stably chelate isotopes such as 64Cu, 68Ga, or 177Lu, thereby enabling PET/SPECT imaging or radiotherapy of the carrier system [284]. Likewise, nitrilotriacetic acid (NTA) is often conjugated with Ni2+ and is frequently grafted onto particle surfaces to capture His-tagged proteins. In such designs, an NP bearing Ni–NTA can be rapidly functionalized by simple incubation with a His6-tagged targeting ligand or cytokine, forming a stable coordination bond [285].
Engineered metalloproteins also function as nanoscale modules. The 24-subunit protein cage of ferritin can bind thousands of Fe atoms, and heavy-chain ferritin intrinsically targets transferrin receptor 1 (TfR1), which is overexpressed in many tumors [286]. Ferritin nanocages can encapsulate small-molecule drugs or imaging metals within their 8 nm internal cavity and can be genetically or chemically modified on the exterior to display targeting peptides. This combination of intrinsic metal-binding capability and receptor specificity makes ferritin a particularly versatile coordination-based carrier [286,287]. Similarly, other metallothioneins (small Cys-rich metal-binding proteins) or synthetic poly His/metal-binding peptides can sequester ions such as Zn2+ or Cu2+ and have been explored as dynamic handles for assembling carriers or enabling stimulus-responsive release. Hence, coordination motifs, such as DOTA/NTA, metal-affinity tags (His-tag/Ni2+), and protein–metal scaffolds (ferritin, metallothionein, and designed peptides), provide modular anchors for targeting ligands and imaging reporters, supporting the construction of multifunctional, self-assembling nanocarrier platforms [286,288].
6.4. Coordination in ECM engineering
Metal coordination is increasingly used to construct ECM-mimicking scaffolds for regenerative medicine and localized cytokine delivery. The ECM is a dynamic biological interface that regulates cell adhesion, migration, signaling, and tissue regeneration, making it an attractive target for coordination-based engineering. For instance, Ca2+-crosslinked alginate or pectin hydrogels, where “egg-box” interactions between Ca2+ and clustered carboxylate groups form biocompatible matrices capable of encapsulating cells and growth factors. These ionic gels are intrinsically dynamic, as divalent cations can diffuse out or be exchanged, enabling gradual biodegradation and sustained drug release [289]. Emerging systems utilize catechol–metal interactions to mimic natural adhesive proteins. Hyaluronic acid modified with gallol (catechol-like) groups can be cross-linked by Fe3+ to form mussel-inspired bioadhesive hydrogels [6,14]. For example, adjusting the pH and Fe3+ concentration enables control over the mono-, bis-, and tris-catechol coordination states within the HA gel. The resulting hydrogels exhibited rapid self-healing and strong wet adhesion, which are crucial for tissue integration, with bis-coordinated networks providing optimal printability and stability [290]. Coordination bonds can also confer redox or enzymatic responsiveness to ECM-like scaffolds. Incorporating disulfide or thiol–metal linkers makes gels sensitive to high intracellular GSH levels or oxidative environments in healing tissue, while embedding matrix-metalloproteinase-cleavable peptides allows scaffolds to soften as invading cells secrete proteases [290].
7. Catalytic bio-interface: artificial metalloenzymes and intracellular catalysis
7.1. Nanozymes for oxidative therapy
Nanomaterials with metal-ligand active sites can act as enzyme mimics for therapeutic response. These systems establish artificial catalytic biointerfaces capable of reproducing or augmenting natural enzymatic processes within living systems. As described in Section 4.6, Fe3O4 and related NPs exhibit peroxidase-like activity, and surface Fe2+ enhances the Fenton conversion of H2O2 to •OH [291,292]. Cu- and Mn-based nanomaterials can perform superoxide dismutase (SOD)- or oxidase-like functions, converting superoxides into O2/H2O2 or H2O2 into O2/H2O. Their catalytic activities can be tuned by coordination engineering, including the choice of dopants and axial ligands used. For example, introducing an axial chloride ligand to a Zn–N4 site substantially increases its peroxidase-like turnover rate [293]. These nanozymes are typically designed to localize in tumors, where increased H2O2 levels and a reduced microenvironment maintain continuous ROS generation and GSH depletion. The net effect is a catalytic form of “chemotherapy,” in which sustained, locally amplified ROS production drives oxidative damage, preferentially in cancer cells, exploiting their abnormal redox balance [294]. Compared with natural enzymes, nanozymes offer superior stability and design flexibility but often exhibit lower catalytic specificity and more complex pharmacokinetic behaviors. Whether these systems can maintain long-term catalytic performance under physiologically relevant conditions remains an active research area.
7.2. Photoactivated and redox-responsive catalytic drugs
Stimuli-activated metallocatalysts are another class of therapeutic agents that have been developed. For example, light-activated RuPOPs remain inert until irradiated with visible light. Upon photoexcitation, they can produce singlet oxygen or undergo ligand dissociation to create reactive species on demand, enabling spatially confined therapy limited to the illuminated tumor region [295,296]. Similarly, redox-activated prodrugs exploit the distinct chemical milieu of tumors. Au3+ and Ir3+ complexes can be inert in the bloodstream but are reduced by high intracellular thiol levels to Au+ or Ir+, releasing active metal fragments. Pt4+ azide complexes and Co3+ prodrugs follow related principles; under hypoxic tumor conditions, they are reduced and trigger drug release [293,294]. Through rational ligand design and the incorporation of photochromic units or redox-sensitive bonds, it is possible to achieve precise spatiotemporal control of metal-centered catalysis. Expanding the π-systems in Ru2+ photosensitizers shift their absorption into therapeutically useful wavelength ranges, whereas bioreducible linkers ensure activation by intracellular GSH. These strategies help minimize off-target toxicity by keeping metal centers functionally “dormant” until they encounter tumor-specific stimuli [295,[297], [298], [299]] [291,300].
7.3. Fenton and Fenton-like catalytic chemotherapy
Catalytic chemotherapy utilizes transition metal redox cycling (Fe2+/Fe3+ or Cu+/Cu2+) to amplify intracellular oxidative stress. In acidic, H2O2-rich tumor environments, Fe2+ centers rapidly convert H2O2 into highly reactive hydroxyl radicals (•OH) through the Fenton reaction [293,[301], [302], [303]]. Cu-based systems function in a similar manner, where intracellular GSH reduces Cu2+ to Cu+, which then reacts with H2O2 to form •OH and regenerate Cu2+. This Cu+/Cu2+ Fenton-like cycle simultaneously produces ROS and oxidizes GSH (Cu2+ + 2GSH → Cu+ + GSSG + 2H+), progressively depleting the antioxidant capacity of the cells and driving ROS to harmful levels in tumor cells [304]. Previous evidence indicates that H2O2 bound to Fe2+ on Fe3O4 surfaces accepts electrons to dissociate into •OH radicals [293]. As discussed in Sections 5.3, 7.1, catalytic Fe- and Cu-based systems exploit tumor-associated redox interfaces to sustain ROS generation, deplete antioxidants, and induce oxidative damage.
Tumor selectivity is another crucial aspect of catalytic chemotherapy [305]. Cancer cells typically exhibit high levels of H2O2 and reducing agents [306]. Coordination-based Fe or Cu nanomedicines are specifically designed to attain these behaviors [307]. Fe/Cu–containing MOFs or hybrid systems selectively deliver metal centers to tumor tissues, where the acidic, hypoxic conditions support sustained conversion of endogenous H2O2 into ROS while concurrently depleting GSH (mimicking a GPx-like reaction) [297]. The outcome is a targeted oxidative attack that preferentially damages and kills the tumor cells.
7.4. Enzyme-inspired coordination catalysts for oxidative stress regulation
Using artificial nanozymes as antioxidants is a complementary approach that mimics catalase (CAT), SOD, or GSH peroxidase (GPx), thereby buffering excess ROS and protecting healthy tissues. Pt-group nanozymes, including Pt NPs or Pt–N4 single-atom sites, catalyze the breakdown of H2O2 into O2 and H2O in a catalase-like manner [297]. Similarly, nanoceria and Cu-based frameworks promote the dismutation of superoxide (O2•-) to H2O2 and O2, resembling the activity of SOD [297]. Furthermore, vanadium oxide (V2O5) nanowires and mixed-valence Mn3O4 use cellular GSH to reduce peroxides in a GPx-like manner, consuming ROS while oxidizing GSH [297]. The catalytic performance of these nanozymes depends on the metal valence dynamics and coordination environment. For example, a higher Ce3+ fraction in nanoceria enhances SOD-like activity, whereas mixed Mn2+/Mn3+ phases enable broader multi-enzyme mimicry [294]. Rational doping approaches or defect (vacancy) engineering can be used to optimize these redox cycles. Furthermore, these antioxidant nanozymes often accumulate in ROS-enriched compartments, such as mitochondria and lysosomes. By acting in situ, these agents directly re-establish redox homeostasis and limit oxidative damage. In preclinical models, such antioxidants have shown promise in protecting normal tissues and modulating inflammatory responses [297]. Recent studies have indicated that coordination-based catalytic systems may regulate emerging forms of regulated cell death, including pyroptosis and PANoptosis, by modulating ROS-dependent inflammatory signaling pathways.
7.5. Metal-induced pyroptosis, PANoptosis, and cGAS–STING activation
Emerging evidence suggests that metal-based therapeutics can activate inflammatory forms of regulated cell death, in addition to apoptosis and ferroptosis. Excessive ROS generation, mitochondrial dysfunction, lysosomal disruption, and DNA damage induced by metallodrugs may activate inflammasome-associated caspases and gasdermin-driven pyroptosis. Recent studies have further indicated that coordination-based systems can simultaneously engage apoptotic, pyroptotic, and necroptotic pathways, collectively termed PANoptosis. In parallel, metal-induced DNA damage and mitochondrial DNA leakage can activate the cGAS–STING pathway, promoting type I interferon production, dendritic cell activation, and enhanced antitumor immunity. These emerging mechanisms provide new opportunities to overcome therapeutic resistance and improve immune-mediated tumor eradication.
8. Coordination in diagnostics and theranostics
Paramagnetic chelates of Gd3+, Mn2+, and Fe3+ remain central to MRI contrast design, with relaxivity determined by a finely balanced combination of coordination geometry, intersphere hydration number, water-exchange kinetics, and rotational dynamics [308]. In Gd-based contrast agents (GBCAs), increasing the number of coordinated water molecules can enhance T1 relaxivity, but only within the limits set by thermodynamic stability and kinetic inertness. Ligand designs that permit higher hydration numbers, often by reducing denticity or rigidifying the scaffolds, can efficiently enhance relaxivity while simultaneously increasing the risk of Gd3+ dissociation [308]. This trade-off has resulted in a clinical shift toward macrocyclic chelators, whose pre-organized geometry confers superior kinetic inertness [171,308]. Modern complex design strategies have followed this framework by introducing rigid, chiral, or second sphere–modulating substituents to reduce molecular tumbling and optimize water exchange, thereby improving relaxivity without compromising safety [309].
The regulatory restriction of linear GBCAs underscores the significance of kinetic stability in clinical imaging and reinforces macrocyclic ligands as the dominant platform for future GBCA development [310]. Concurrently, Mn2+ complexes have been reported as Gd-free alternatives, leveraging the endogenous nature of Mn2+ and its favorable high-spin state for T1 shortening. However, the inherently weak ligand field around Mn2+ enables adequately stable chelation, which is particularly challenging [310].
Evidence has demonstrated that rigid polyaminocarboxylate and macrocyclic ligands can prevent the dissociation and trans-metalation (exchange of ligands between metals) of Mn, while still allowing the coordination of at least one inner-sphere water molecule [308]. Advances in ligand rigidification strategies, such as cyclohexyl-based backbones, pyridyl substitutions, and bispidine-type architectures, have yielded Mn2+ chelates with substantially enhanced kinetic inertness and clinically relevant relaxivity, some of which have progressed to advanced clinical testing [308]. These systems indicate that for Mn2+ contrast agents, the principal design hurdle is not achieving relaxivity but maintaining robust metal retention under physiological competition from endogenous cations [308]. These observations highlight a broader translational challenge in coordination-based imaging, namely, balancing imaging performance with long-term biosafety, metal retention, and regulatory acceptance.
Fe-based MRI agents play a limited but mechanistically promising role compared to gadolinium or manganese systems. In clinical practice, superparamagnetic Fe oxide NPs are predominant, whereas small-molecule Fe3+ chelates typically exhibit only modest T1 relaxivity because of rapid electronic relaxation and fully saturated coordination environments. [18,[311], [312], [313]]. Nonetheless, carefully designed catecholate and other oxygen-donor ligands can introduce inner- or second-sphere water interactions that are sufficient to yield measurable T1 contrast. Given Fe's favorable biocompatibility and recycling pathways, Fe chelates remain attractive for certain specialized applications, provided that challenges such as aggregation, excessive T2 effects, and nonspecific protein binding are carefully controlled [311]. Radiometal-based imaging increases the existing requirements because any in vivo instability directly compromises image fidelity. PET and SPECT probes using 64Cu, 68Ga, 89Zr, or 99mTc require chelators that precisely match the metal's ionic radius, oxidation state, and preferred coordination geometry while providing near-absolute kinetic inertness over the timescales of biological imaging [314].
For Cu2+, rigid cross-bridged macrocycles outperform flexible chelators, primarily because they resist transchelation to the serum proteins. Ga3+ is a complex and strongly oxophilic cation that is effectively stabilized by hexadentate macrocycles, such as NOTA and its derivatives, providing both rapid room-temperature radiolabeling and exceptional in vivo stability. In contrast, Zr4+ requires complete saturation of its coordination sphere; substituting hexadentate desferrioxamine with octadentate hydroxypyridinone ligands dramatically reduces in vivo metal release and skeletal accumulation, demonstrating that complete coordination is a key determinant of radiometal safety [315]. Furthermore, technetium-based radiopharmaceuticals follow similar principles, using pre-organized donor sets tailored to specific Tc cores to maintain circulation [316]. The same coordination geometry also supports the design of fluorescent and multimodal imaging probes.
In metal-responsive fluorophores, metal binding alters the electronic structure or conformational flexibility of the ligand, suppressing non-radiative decay or enabling processes such as Förster resonance energy transfer (FRET) [316]. Zn and Ca parameters utilize these mechanisms to achieve highly sensitive cellular imaging, whereas lanthanide complexes harness the antenna effect to produce sharp, long-lived emissions suitable for time-gated detection [316]. Across all these systems, selectivity and signal modulation result from careful adjustment of donor atoms, ligand preorganization, and control of solvent quenching, efficiently reflecting the design-related constraints encountered in MRI chelate development [316].
Coordination chemistry also supports the development of probes that combine multiple imaging signals, termed multimodal imaging probes. For example, in dual-mode MRI/fluorescence agents, a fluorescent dye is usually integrated with paramagnetic metal chelates or NPs. One common strategy involves incorporating Gd3+ chelates into conjugated polymers or dendrimers that also carry fluorophores. This macromolecular scaffold provides a high local density of Gd sites (amplifying r1 relaxivity) and an aggregation-induced emission (AIE)-active dye for fluorescence. Alternatively, small-molecule scaffolds have been developed in which one segment chelates Gd3+ and another carries a fluorophore (e.g., BODIPY or cyanine dye) [317]. However, key design challenges include reducing fluorescence quenching by the paramagnetic center (often achieved by inserting a rigid spacer between the dye and metal) and maintaining MR efficacy by preserving at least one inner-sphere water molecule on Gd. Reported examples of this architecture include Gd complexes carrying anthracene or coumarin units that yield robust cellular fluorescence along with T1 contrast, as well as TPE-based Gd constructs that exhibit aggregation-induced emission and high r1 relaxivity [318].
PET/MRI dual probes integrate radiometals and MRI-active metals within a single construct. A common approach uses a bifunctional chelator capable of coordinating both 64Cu and Gd or an NP that bears each metal in distinct domains. Prominent examples of this system include Fe oxide cores providing MRI contrast and loaded on the surface with 64Cu-labeled chelates or liposomes incorporating Gd–chelate in the lipid bilayer while 89Zr is bound to a targeting antibody. Such constructs leverage coordination multiplexing; likewise, a DOTA-PEG scaffold may interact with Gd3+ for MRI, while a separate chelating motif on the same backbone binds 64Cu for PET. The critical requirement is the orthogonality of the coordination sites (or controlled sequential radiolabeling) so that each metal remains securely complexed [319]. Another alternative strategy is to use a single lanthanide complex (e.g., 155Tb or 177Lu), which is both paramagnetic and radioactive, thereby enabling SPECT/MRI or PET/MRI with a single molecular entity.
Tri-modal probes extend this modality by combining optical, MRI, and nuclear signals into a single system. For example, lanthanide UCNPs can be doped with Gd3+ to provide MRI contrast, radiolabeled on the surface with chelated 18F or 64Cu for PET, and simultaneously used for their intrinsic NIR emission as an optical readout [320]. Alternatively, “metal–organic polyhedra” have also been proposed, in which different faces bear distinct functionalities: one face carries a fluorescent ligand, another coordinates Gd3+, and another complexing a PET radionuclide. In these modalities, fluorescence (intensity or lifetime), T1 relaxivity, and radionuclide decay are all driven by the coordinated metal center working in tandem [317].
Notably, the chelation strategy and overall molecular structures affect all modalities. For instance, increasing the molecular size to boost r1 relaxivity may also slow pharmacokinetics and affect PET signal profiles, warranting careful optimization. The key performance metrics for multimodal probes include detection sensitivity, in vivo stability, and degree of spatial co-localization between signals. Well-designed systems have yielded sub-nanomolar PET detection limits, sub-micromolar MRI relaxivity, and low background fluorescence by precisely adjusting their coordination-based assemblies [321,322].
9. Pharmacology, toxicology, and clinical landscape
The coordination of chelate design has a primary effect on metal biodistribution and clearance. Rigid macrocyclic ligands, such as DOTA, are highly pre-organized and typically provide complexes with both high thermodynamic stability and pronounced kinetic inertness. In contrast, flexible acyclic ligands (for example, DTPA analogs) often form less tightly bound complexes that are easier to dissociate in vivo [319]. From a safety perspective, kinetic stability (inertness) is usually regarded as more critical than the absolute stability. Consequently, macrocyclic and high-denticity chelates generally remain intact until they are cleared, most often through renal excretion, whereas more labile complexes may release the metal and undergo nonspecific interactions [323]. This finding is consistent with the clinical perspective that specific linear Gd3+ contrast agents (such as gadodiamide or gadopentetate) are associated with nephrogenic systemic fibrosis (NSF) due to Gd3+ release. Recent in vivo studies support this observation; in mice administered different Gd3 +-chelates, rigidified complexes such as Gd(PIP-DOTA) were excreted intact, whereas more flexible chelates, Gd(AZEP-DTPA) and Gd(NPTA), showed in vivo Gd release. This evidence highlights that relatively subtle changes in ligand backbone rigidity, donor set, and overall charge can dramatically affect in vivo behavior, emphasizing the crucial role of coordination stability in driving biodistribution and off-target metal release [323].
The protein corona is another key determinant of in vivo behavior of nanomaterials. As one of the most important nano-biointerfaces, the protein corona defines the biological identity of coordination-based nanomaterials and strongly influences their biodistribution, immune recognition, and clearance. When introduced into biological fluids, metal-based NPs or even small coordination complexes rapidly adsorb abundant serum proteins through their surfaces. This absorbed layer can mask the original ligand shell and may also promote ligand exchange [324]. For instance, a metal-ligand complex may release its chelator, which is replaced by a coordinating residue from albumin, transferrin, or other proteins, or the reverse may also occur. The resulting corona effectively defines the biological identity of the particle, altering immune recognition, circulation time, and clearance [325,326]. In extreme cases, coordinated metal ions can be directly transferred to the corona proteins, changing the metal speciation. These dynamic interactions of adsorption, exchange, and corona reorganization complicate pharmacokinetics; a nanostructure engineered to be stealthy may become rapidly opsonized if its protective ligand layer is displaced [327,328]. Minimizing detrimental corona effects often requires “stealth” coatings (for example, PEGylation) or highly inert chelates, highlighting that in vivo coordination conditions are not static but are continuously reshaped by biomolecular interactions.
Coordination chemistry also contributes to organ-specific uptake and the associated toxicity. Poorly chelated or free manganese readily crosses the blood–brain barrier and accumulates in the basal ganglia, resulting in a Parkinson-like “manganism” syndrome. In contrast, Cu and Fe complexes tend to localize in the liver; intravenously injected 64Cu2+ is rapidly sequestered by hepatocytes and eliminated via the biliary route, leading to pronounced hepatic accumulation [329,330]. Gd-based contrast agents are typically cleared renally; however, any Gd3+ released in vivo can bind to phosphates and proteins and deposit in the kidneys, bone, and brain, contributing to NSF and long-term Gd retention. Interestingly, these coordination-dependent distribution mechanisms can be used for the targeted imaging. Chelated Mn2+ (as in MnDPDP) behaves as a Ca2+ analog and is taken up by the metabolically active myocardium [331,332]. In rat myocardial infarct models, manganese-enhanced MRI (MEMRI) revealed smaller infarct areas than conventional gadolinium-contrasted MRI because Mn2+ selectively enters viable cardiomyocytes via L-type Ca2+channels, whereas gadolinium remains limited to the extracellular space [333,334].
The significance of coordination principles and structural arrangements is evident from clinical experience with metallodrugs. For example, cisplatin, a Pt2+-based DNA crosslinker approved >50 years ago, remains one of the most commonly used anticancer agents despite its significant nephrotoxicity, ototoxicity, and neurotoxicity. Its efficacy and underlying adverse events illustrate the balance between metal reactivity and off-target injuries to the tissue. Ferumoxytol, a superparamagnetic Fe3+ NP approved for treating anemia and used off-label as an MRI contrast agent, shows efficient uptake by the reticuloendothelial system (liver and spleen) with relatively minimal long-term toxicity [125,335]. In contrast, unsuccessful candidates underscore the risk of unanticipated metal-metal interactions. PledOx (calmangafodipir, a Mn2+ chelate) was designed to reduce oxaliplatin-induced neuropathy in phase III clinical trials. Mechanistic analyses have indicated that the in vivo redox interplay between Mn2+ (from PledOx) and Pt2+ (from oxaliplatin) contributed to this detrimental outcome [336,337]. Thus, co-administered metal centers can participate in unforeseen redox processes that intensify toxicity if such interactions are not carefully controlled.
Ongoing advances in coordination chemistry have driven more rational drug design. Novel metal-based drugs increasingly rely on rigid ligand frameworks and targeting moieties. Second- and third-generation Pt agents, including carboplatin and oxaliplatin) integrate a chelating ring system that slows deactivation and thereby minimizes dose-limiting toxicities [247]. Similarly, innovative MRI contrast agents, such as gadobutrol and gadopiclenol, favor macrocyclic chelators to lock Gd3+ with high kinetic inertness. In oncology, cytotoxic metal complexes are conjugated with antibodies or peptides, thereby enhancing tumor selectivity while reducing systemic exposure [[338], [339], [340]].
10. Challenges and bottlenecks
A critical concern in metal-based drug design and clinical efficacy is the thermodynamic stability–inertness paradox. Generally, these complexes must be intact and sufficiently inert in the bloodstream to prevent premature metal release. However, they must be sufficiently reactive at the target site to exert their therapeutic effects. Notably, highly inert metal complexes are uniformly distributed across living systems and cleared without exerting meaningful biological effects, whereas overly labile complexes release metals indiscriminately and cause off-target toxicity [323]. This behavior is particularly crucial for stimulus-activated prodrugs (e.g., pH- or enzyme-activated systems) and catalytic agents such as metalloenzyme mimics, which remain intact during circulation and are selectively activated when they reach the target tissue. However, efficient design is extremely challenging, and robust, generalizable rules are limited; for example, increasing ligand rigidity with a macrocycle may enhance stability but completely abolish activity, necessitating several compromises [341]. In clinical settings, this balance is usually maintained using certain approaches, such as stimuli-responsive chelation and hierarchical ligand shells, with the stability-reactivity dilemma being a persistent bottleneck during in vivo applications.
Redox mismatch is another limitation of metal complexes design. Biological tissues vary widely in redox potential, and hypoxic or inflamed microenvironments can reduce or oxidize metal centers in unexpected ways. For instance, a strongly reducing tumor microenvironment may convert a paramagnetic lanthanide or transition metal to a distinct oxidation state, thereby altering its relaxivity profile or toxicity [342,343]. Conversely, an increased oxidative environment during inflammatory responses can induce the activation of a premature redox-sensitive metal prodrug. These in vivo redox mechanisms are difficult to predict; for example, Mn2+ may oxidize to Mn3+ or Mn4+ under certain conditions, resulting in precipitation as oxides or enhanced binding proteins [161,344]. These shifts can disrupt the intended coordination state, enabling complexes that appear stable in vitro to behave differently in vivo. Consequently, the incorporation of redox-active metals (Ce, Ru, or Fe) into therapeutic agents requires careful assessment of tissue-specific redox conditions [14,345].
Furthermore, the off-target accumulation of metal-based therapeutics presents another layer of complexity in the development of effective designs. Mononuclear phagocytes in the liver, spleen, and bone marrow can efficiently sequester several metal complexes and NPs, which can reduce on-target exposure while increasing toxicity. For example, intravenously injected ionic 64Cu2+ shows pronounced hepatic uptake, followed by biliary excretion, with limited tumor accumulation in the absence of a targeting approach [346,347]. Similarly, Fe oxide NPs, such as ferumoxytol, are selectively absorbed by Kupffer cells. This sequestration can also disrupt endogenous metal balance; excessive Cu or Zn accumulation in the brain or liver has been linked to neurological and hepatic disorders, and the unintended displacement of native metals by therapeutic agents may further aggravate the disease [348,349]. Although targeting ligands and careful adjustment of particle size and surface charge are utilized to reduce uptake by these off-target sinks, achieving organ-selective delivery of metal payloads remains highly challenging.
The computational prediction of metallodrug behavior is still minimal. Standard physiologically based pharmacokinetic (PBPK) models usually overlook dynamic ligand exchange and metal binding in various compartments. Quantum chemistry or molecular dynamics can estimate static parameters, such as bond strengths or selective geometries; however, they are poorly suited for capturing complex, time-dependent phenomena, such as protein corona formation, enzymatic degradation, or organ-specific clearance [350]. Data-driven QSAR and ML approaches are also limited because training data for in vivo pharmacokinetics and toxicity are scarce. Consequently, the in silico prediction of the biodistribution and clearance of metal-based drugs remains unreliable, and most drug development programs still depend heavily on experimental biodistribution studies in rodent models, which are both expensive and time-consuming. Moreover, discrepancies between animal models and human physiology frequently complicate translation, emphasizing the need for more predictive experimental and computational frameworks for coordination-based therapeutics [351,352].
Finally, regulatory and safety considerations are major concerns in the development of metal-based drugs. Regulatory agencies increasingly require extensive data on long-term metal retention because of the well-documented risks. After evidence of Gd deposition in the human brain, the EMA banned several linear Gd chelates in 2017, effectively shifting clinical use towards macrocyclic agents [353]. Consequently, newly developed metallodrugs are usually subjected to extended retention and clearance studies, often over months to years, to demonstrate safe elimination. Therefore, the approval threshold is higher than that for conventional small molecules; they must show not only acceptable toxicity but also safe long-term metal handling [14,354]. These crucial requirements increase both the timelines and development costs, but they are crucial given the potential for metals to persist indefinitely in the body.
Future progress will require standardized terminology and classification frameworks that clearly distinguish metal center properties, coordination environments, catalytic functions, biomolecular recognition events, and downstream biological outcomes. Such distinctions are essential for establishing mechanistic relationships across molecular, cellular, pharmacological and clinical scales.
10.1. Clinical translation and development status of metal-based systems
Despite substantial advances in coordination chemistry and metal-based therapeutics, successful clinical translation remains limited by challenges related to toxicity, pharmacokinetics, biodistribution, metal ion release, long-term biosafety, manufacturing reproducibility, and regulatory approval. To provide a translational perspective, representative approved, clinical-stage, discontinued, and preclinical metal-based systems are summarized in Table 4; it highlights the metal centers, ligand platforms, primary indications, mechanisms of action, major toxicities, development stages, and key translational challenges that have influenced clinical success or limited broader implementation.
Table 4.
Clinical translation and development status of representative metal-based systems (revised). The newly added column “Basis of Limitation” distinguishes mechanistic potential, clinical evidence, and specific reasons for translational barriers.



Collectively, these examples illustrate the diverse translational trajectories of metal-based therapeutics, diagnostic agents and coordination-enabled nanomaterials. Clinically successful systems are typically characterized by well-defined pharmacokinetics, manageable toxicity profiles, and robust manufacturing pathways. In contrast, emerging platforms frequently face challenges associated with biological complexity, long-term biosafety, reproducibility, and regulatory approvals. These observations emphasize the importance of integrating coordination chemistry, biointerface interactions, pharmacology, and translational considerations in the development of next-generation metallotherapeutics.
11. Future directions; next-generation medicines
Short-term priorities (0–5 years) are expected to focus on predictive design, biointerface characterization, and data-driven optimization of coordination-based therapeutics. AI-assisted coordination design represents one of the most immediately translatable opportunities for next-generation metallotherapeutics development. Machine learning and other data-driven models are increasingly being applied to predict metal–ligand binding affinities, kinetic inertness, and redox potentials. Graph neural networks trained on coordination complex databases can suggest novel chelator scaffolds or identify potentially problematic chemistries [355]. Currently, AI-assisted approaches are used to optimize conjugation sites and target ligands for metallodrug delivery systems. While still evolving, predictive models proposed using these innovative approaches hold potential for developing advanced metal complexes design with finely adjusted stability, reactivity, and target selectivity, thereby reducing the reliance on purely experimental screening [355]. However, major challenges include limited high-quality datasets, insufficient predictive models for metal speciation and bio-interface interactions, and poor integration between computational predictions and experimental validation methods. Future progress will require standardized coordination chemistry databases, explainable machine-learning frameworks, and closed-loop experimental–computational workflows (Fig. 11).
Fig. 11.

Roadmap for the future development of coordination-based biointerface systems. The roadmap highlights short-, medium-, and long-term priorities for next-generation coordination-enabled therapeutics and biomaterials, spanning AI-assisted design, protein assemblies, nucleic-acid delivery, immunomodulation, hybrid biologics, bioelectronic interfaces, and logic-gated systems. The framework illustrates the progression from biointerface engineering and advanced therapeutic platforms to clinical translation and future biointerface medicines, supported by data-driven design, safety assessment, scalable manufacturing, and regulatory improvements. This is a conceptual illustration synthesized from emerging trends in coordination chemistry, biointerface engineering, nanomedicine, immunotherapy, bioelectronics, and translational medicine [355].
Medium-term priorities (5–10 years) are expected to focus on advanced therapeutic platforms, including metal–protein assemblies, nucleic acid delivery systems, immunomodulatory metallotherapeutics, and hybrid biologics. Metal–protein assemblies and engineered metalloproteins offer opportunities to develop highly specific and biologically integrated therapeutic systems. Protein cages, such as apoferritin and viral capsids, can be loaded with metal ions or chelates to create biocompatible delivery pathways. For example, Gd-loaded ferritin nanocages exhibit extremely high relaxivity because of their slow rotational dynamics, which can target cells through ferritin receptors, making them highly sensitive MRI probes [356,357]. Beyond the imaging applications of metalloenzymes, engineered and artificial metalloproteins are being developed for therapeutic catalysis, including ROS production within tumors and the degradation of toxins. These biohybrid systems combine the specificity and biodegradability of proteins with the distinctive reactivity of metal centers, providing promising avenues for smart and self-regulating therapies [358,359]. Key bottlenecks include maintaining structural stability under physiological conditions, controlling metal loading and release, reducing immunogenicity, and enabling the scalable manufacturing of these nanomaterials. Addressing these challenges will require modular assembly strategies and an improved understanding of protein–metal biointerface interactions (Fig. 11).
Coordination-enabled nucleic acid delivery platforms may expand the therapeutic scope of gene editing, RNA therapeutics, and precision medicine. Divalent and trivalent metal ions, including Zn2+, Ca2+, and Fe3+, can link negatively charged nucleic acids, condensing DNA and RNA into compact assemblies. Utilizing this principle, MOFs and coordination polymers are being developed as delivery systems for gene therapies, in which metal–ligand scaffolds can encapsulate oligonucleotides, protect them from degradation, and be engineered to release them in response to specific triggers (pH, redox conditions, and light) [360]. For example, Zn-based MOFs have been used to efficiently load siRNA and trigger its release under an endosomal acidic pH. Such metal-mediated delivery systems offer both structural strength and the potential to integrate metal-based imaging or therapeutic functions into a single multifunctional platform [361,362]. Major challenges include endosomal escape, long-term cargo stability, protection from biological degradation, and reproducible and large-scale production. Future efforts should focus on programmable release mechanisms and clinically translatable carrier architectures.
Coordination-based immunomodulation represents a rapidly emerging medium-term strategy. Some metal complexes can act as anti-inflammatory agents by scavenging ROSs, such as Mn-based SOD mimetics [363,364]. Other complexes are designed to stimulate immunity rather than suppress it. Several Ru and Ir complexes have been reported to reprogram tumor-associated macrophages towards an M1-like phenotype (anti-tumor state) or enhance T-cell activation [365,366]. Recent evidence has further demonstrated that metal-mediated activation of pyroptosis, PANoptosis, and cGAS–STING signaling enhances antitumor immunity and improves responsiveness to immunotherapy. Additionally, metal NPs and coordination cages are being investigated as vaccine adjuvants, where they can function as both antigen delivery and provide innate danger signals to elicit immune responses [367,368]. These strategies exploit the redox properties and coordination chemistry of metals to modulate inflammatory pathways and antitumor immunity in unconventional manners. Key challenges include achieving selective immune regulation, minimizing systemic toxicity, identifying predictive biomarkers, and understanding the long-term consequences of immune cell reprogramming. Future development should prioritize biomarker-guided patient stratification and rational combination therapy.
Hybrid biologics that integrate metals with antibodies, peptides, and nucleic acids may improve targeting precision and therapeutic selectivity. These complexes include metal-binding peptides and antibodies that deliver metal payloads with high specificity. For instance, conjugating a cytotoxic metal chelate to an antibody, such as antibody–drug conjugates, can localize metal-based toxicity to cancer cells [340,369,370]. DNA or RNA aptamers linked to metal centers offer similar targeting potentials. The metal component of these complexes supports accurate imaging or catalysis, while the biomolecular part provides cell-type specificity [371]. These cellular processes can be used to efficiently deliver metal complexes that cleave DNA inside target cells, thereby reducing overall exposure. Challenges include manufacturing complexity, stability during storage and circulation, and regulatory evaluation of multifunctional systems. Standardized production and characterization protocols are essential for successful clinical translation.
Long-term priorities (>10 years) are expected to focus on adaptive bioelectronic interfaces, programmable coordination systems, and autonomous therapeutic platforms. Emerging bioelectronic interfaces represent a potential avenue for metal-based drug development. Redox-active coordination complexes and conductive metallopolymers are being designed as core materials for biosensors and neural interface applications. For example, electrodes coupled with metal-binding ligands can detect analytes, including glucose and neurotransmitters, via metal-ion-mediated alterations in conductivity. Similarly, coordination polymers incorporating redox centers, such as tetrathiafulvalene-MOFs, can integrate electronic circuits into biological tissues, potentially paving the way for new generations of implantable or wearable devices [[372], [373], [374]]. These approaches utilize the rapid electron transfer kinetics and tunable electronic properties of metal centers to develop dynamic, responsive interfaces between tissues and electronic devices (Fig. 11).
Logic-gated multi-metal systems may enable programmable and autonomous therapeutic responses that are based on complex biological inputs. These coordination networks are developed only for defined combinations of stimuli, such as pH, enzymes, or light, or those that require multiple metal cofactors for activation. For instance, a prodrug can be designed with two metal centers arranged such that drug release occurs only when both metals attain specific oxidation states, with one metal behaving as a hypoxia sensor and the other as a ROS sensor [375,376]. Alternatively, multi-metal NPs can be designed for synergistic therapy, in which one metal provides photothermal heating and the other drives ROS production under precise temporal control. Embedding Boolean-like logic into metal coordination chemistry offers the possibility of highly conditional “if–then” therapeutic responses, thereby minimizing off-target effects [376,377]. Key challenges include system integration, predictable multi-metal coordination behavior, safety control, and validation in complex biological environments. Future development will require quantitative design frameworks that can link coordination chemistry with systems-level biological responses.
Collectively, these opportunities can be viewed as a translational roadmap spanning the short-, medium-, and long-term horizons. Near-term efforts should prioritize predictive design and biointerface characterization, medium-term development should focus on multifunctional therapeutic platforms, nucleic acid delivery, and immunomodulation, and long-term progress will depend on programmable coordination systems, adaptive bioelectronic interfaces, and autonomous precision medicine technologies.
11.1. Coordination therapeutics combined with immune checkpoint blockade
Combination strategies integrating metallodrugs, nanozymes, and coordination-based nanomedicines with immune checkpoint inhibitors have emerged as promising approaches in cancer therapy. Metal-induced ROS generation, immunogenic cell death, pyroptosis, PANoptosis, and cGAS–STING activation can increase tumor immunogenicity, improve antigen presentation, and enhance T cell infiltration. Consequently, these mechanisms may sensitize tumors to PD-1/PD-L1 and CTLA-4 blockade while overcoming resistance associated with immune checkpoint therapy. Future coordination-based combination therapies are expected to simultaneously modulate tumor metabolism, redox homeostasis, and antitumor immunity [378,379].
12. Conclusion
Coordination chemistry is more than just a traditional tool for medicinal chemists. This molecular language has been extensively applied in biological applications, particularly in metal-based precision therapy. Living systems rely on metal coordination for structural integrity, signaling, and catalysis, from oxygen carriers such as hemoglobin to Zn-finger gene regulators to diverse metalloenzymes. By decoding the molecular language of metal coordination, chemists and biologists can now design metal-based therapeutics that interact with biological systems (cells and tissues) using the same natural dialect. Importantly, the biological interface serves as a central framework linking coordination chemistry to biomolecular recognition, cellular communication, therapeutic activity, and clinical translation. The future of medicine will increasingly exploit these interdisciplinary concepts, yielding metal-based drugs and diagnostic procedures that mimic biological approaches for interactions and reactivity. When successfully integrated, coordination-driven therapeutics can offer distinctive mechanisms of action, including redox catalysis, multivalent recognition, and stimulus responsiveness, and explore entirely new paradigms, such as living metal-protein assemblies and biohybrid devices. Therefore, by applying the basic principles of metal interactions in biological systems, coordination chemistry has the potential to revolutionize early diagnosis and managements in multiple disciplines. Future advances are expected to increasingly integrate catalytic therapeutics, PANoptosis, pyroptosis, cGAS–STING activation, and immune checkpoint blockade into next-generation coordination-based precision medicine platforms.
Funding
Basic Research Project for Universities of Liaoning Provincial Education Department (LJ232410159083); Health Commission of Liaoning Province, “Xingliao Talents Program” Project (XLYC2412088)
CRediT authorship contribution statement
Kuanbing Chen: Investigation, Methodology, Writing – original draft. Xiaofeng Wang: Data curation, Investigation, Methodology, Writing – original draft. Yutao Wang: Data curation, Formal analysis, Investigation, Writing – original draft. Seid Mahdi Jafari: Supervision, Validation, Writing – review & editing. Feng Guo: Supervision, Validation, Writing – review & editing.
Declaration of competing interest
All authors declare that there is no conflict of interest.
Contributor Information
Seid Mahdi Jafari, Email: smjafari@gau.ac.ir.
Feng Guo, Email: fguo@cmu.edu.cn.
Data availability
No data was used for the research described in the article.
References
- 1.Sendra K.M., et al. An ancient metalloenzyme evolves through metal preference modulation. Nat. Ecol. Evol. 2023;7(5):732–744. doi: 10.1038/s41559-023-02012-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Higashi S.L., et al. Adaptive metal ion transport and metalloregulation-driven differentiation in pluripotent synthetic cells. Nat. Chem. 2025;17(1):54–65. doi: 10.1038/s41557-024-01682-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Haas K.L., Franz K.J. Application of metal coordination chemistry to explore and manipulate cell biology. Chem. Rev. 2009;109(10):4921–4960. doi: 10.1021/cr900134a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Das A., et al. Exploring regulatory roles of putrescine-doped zinc oxide nanoentities on ethylene signaling, redox imbalance, and programmed cell death in drought-stressed rice (Oryza sativa L.) seedlings. Front. Plant Sci. 2025;16 doi: 10.3389/fpls.2025.1630837. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Wen C., et al. Dietary zinc ameliorates TNBS-induced colitis in mice associated with regulation of Th1/Th2/Th17 balance and NF-kappaB/NLRP3 signaling pathway. Biol. Trace Elem. Res. 2024;202(2):659–670. doi: 10.1007/s12011-023-03715-y. [DOI] [PubMed] [Google Scholar]
- 6.Whetter J.N., Smilowicz D., Boros E. Exploring aqueous coordination chemistry of highly lewis acidic metals with emerging isotopes for nuclear medicine. Acc. Chem. Res. 2024;57(6):933–944. doi: 10.1021/acs.accounts.3c00781. [DOI] [PubMed] [Google Scholar]
- 7.Stuteley S.M., et al. Feedback regulation of iron-sulfur cluster biogenesis. bioRxiv. 2025;20:2025.06.15.659787 [Google Scholar]
- 8.Renaud E.A., Maupin A.J.M., Besteiro S. Iron-sulfur cluster biogenesis and function in Apicomplexa parasites. Biochim. Biophys. Acta Mol. Cell Res. 2025;1872(1) doi: 10.1016/j.bbamcr.2024.119876. [DOI] [PubMed] [Google Scholar]
- 9.Ding H. Iron-sulfur cluster biogenesis and regulation of intracellular iron homeostasis in Escherichia coli. Metallomics. 2025;17(12) doi: 10.1093/mtomcs/mfaf040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Wu L., et al. Downregulation of iron-sulfur cluster biogenesis May contribute to hyperglycemia-mediated diabetic peripheral neuropathy in murine models. Antioxidants. 2024;13(9) doi: 10.3390/antiox13091036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Zhang W.J., et al. Two DNA-binding one Zinc Finger transcription factors, MdCDOF3 and MdDOF3.6, accelerate leaf senescence by activating cytokinin oxidase MdCKX7 in response to sorbitol signaling in apple. Hortic Res. 2025;12(8):uhaf120. doi: 10.1093/hr/uhaf120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Liu Y.C., et al. Divalent later transition metal complexes of the traditional chinese medicine (TCM) liriodenine: coordination chemistry, cytotoxicity and DNA binding studies. Dalton Trans. 2009;48:10813–10823. doi: 10.1039/b912553a. [DOI] [PubMed] [Google Scholar]
- 13.Kolliyedath G., et al. Modeling reactivity of nitrite and nitrous acid at a phenolate bridged Dizinc(II) site: insights into NO signaling at zinc. Chemistry. 2023;29(58) doi: 10.1002/chem.202301409. [DOI] [PubMed] [Google Scholar]
- 14.Anthony E.J., et al. Metallodrugs are unique: opportunities and challenges of discovery and development. Chem. Sci. 2020;11(48):12888–12917. doi: 10.1039/d0sc04082g. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Shorouei S., et al. eSolubilized amniotic membrane ECM as a promising biological surface treatment approach for 3D-printed bone tissue engineering scaffolds. Sci. Rep. 2025;15(1) doi: 10.1038/s41598-025-25897-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Bieganski M., et al. 1,2,4-triazole incorporated into polyheterocyclic scaffolds as anti-glioblastoma agents: biological evaluation and molecular modeling studies. Comput. Biol. Chem. 2026;120(Pt 1) doi: 10.1016/j.compbiolchem.2025.108771. [DOI] [PubMed] [Google Scholar]
- 17.Ghimire U., et al. Conducting biointerface of spider-net-like chitosan-adorned polyurethane/SPIONs@SrO(2)-fMWCNTs for bone tissue engineering and antibacterial efficacy. Int. J. Biol. Macromol. 2024;264(Pt 1) doi: 10.1016/j.ijbiomac.2024.130602. [DOI] [PubMed] [Google Scholar]
- 18.Singh N., et al. Preparation of hybrid SPIONs and nanodiamonds in view of neurodegenerative diseases treatments. Colloids Surf. B Biointerfaces. 2026;257 doi: 10.1016/j.colsurfb.2025.115170. [DOI] [PubMed] [Google Scholar]
- 19.Aziz A., et al. An orthogonal supramolecular approach toward protein binding and protein sensing using dendrimers as scaffolds for the noncovalent assembly of binding and sensing groups. ACS Mater. Au. 2025;5(5):849–857. doi: 10.1021/acsmaterialsau.5c00049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Corner T.P., et al. Profiling inhibitor scaffolds for the cancer target Jumonji-C domain-containing protein 6. ChemMedChem. 2025;20(23) doi: 10.1002/cmdc.202500682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Brito S., et al. Age-associated interplay between zinc deficiency and Golgi stress hinders microtubule-dependent cellular signaling and epigenetic control. Dev. Cell. 2025;60(9):1304–1320 e7. doi: 10.1016/j.devcel.2024.12.024. [DOI] [PubMed] [Google Scholar]
- 22.Alghamdi H.S., et al. Facile transfer hydrogenation of N-Heteroarenes and nitroarenes using magnetically recoverable Pd@SPIONs catalyst. ACS Omega. 2024;9(10):11377–11387. doi: 10.1021/acsomega.3c07550. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Aioub A.A.A., et al. Ameliorating effect of the biological Zinc nanoparticles in abamectin induced hepato-renal injury in a rat model: implication of oxidative stress, biochemical markers and COX-2 signaling pathways. Front. Pharmacol. 2022;13 doi: 10.3389/fphar.2022.947303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Wang Y., et al. Metal-phenolic network biointerface-mediated cell regulation for bone tissue regeneration. Mater. Today Bio. 2025;30 doi: 10.1016/j.mtbio.2024.101400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Doonan C., et al. Metal-Organic frameworks at the biointerface: synthetic strategies and applications. Acc. Chem. Res. 2017;50(6):1423–1432. doi: 10.1021/acs.accounts.7b00090. [DOI] [PubMed] [Google Scholar]
- 26.Rodriguez R., et al. Metal ion signaling in biomedicine. Chem. Rev. 2025;125(2):660–744. doi: 10.1021/acs.chemrev.4c00577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Shi X., et al. Zinc finger protein 750 is a novel regulator of osteoblast differentiation and bone homeostasis by transcriptionally deactivating SNAI1 signaling. Stem Cells Transl. Med. 2025;14(4) doi: 10.1093/stcltm/szaf013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Fang Y., et al. Plasma membrane-associated calcium signaling modulates zinc homeostasis in Arabidopsis. Sci Bull (Beijing) 2025;70(9):1478–1490. doi: 10.1016/j.scib.2025.02.010. [DOI] [PubMed] [Google Scholar]
- 29.Wang Z., et al. The auxin signaling pathway contributes to phosphorus-mediated zinc homeostasis in maize. BMC Plant Biol. 2023;23(1):20. doi: 10.1186/s12870-023-04039-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Yannone S.M., et al. Metals in biology: defining metalloproteomes. Curr. Opin. Biotechnol. 2012;23(1):89–95. doi: 10.1016/j.copbio.2011.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Maret W. Chemistry meets biology in the coordination dynamics of metalloproteins. J. Inorg. Biochem. 2024;251 doi: 10.1016/j.jinorgbio.2023.112431. [DOI] [PubMed] [Google Scholar]
- 32.Zimpel A., et al. Coordinative binding of polymers to metal-organic framework nanoparticles for control of interactions at the biointerface. ACS Nano. 2019;13(4):3884–3895. doi: 10.1021/acsnano.8b06287. [DOI] [PubMed] [Google Scholar]
- 33.Sagresti L., et al. Simulating metal complex Formation and ligand exchange: unraveling the interplay between Entropy, kinetics, and mechanisms on the chelate effect. J. Chem. Theor. Comput. 2025;21(18):8950–8962. doi: 10.1021/acs.jctc.5c01079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Salnikov O.G., et al. Modeling ligand exchange kinetics in iridium complexes catalyzing SABRE nuclear spin hyperpolarization. Anal. Chem. 2024;96(29):11790–11799. doi: 10.1021/acs.analchem.4c01374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Bai D., et al. The outcast of medicine: metals in medicine--from traditional mineral medicine to metallodrugs. Front. Pharmacol. 2025;16 doi: 10.3389/fphar.2025.1542560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Tang W., et al. Zinc lactate alleviates oxidative stress by modulating crosstalk between constitutive androstane receptor signaling pathway and gut microbiota profile in weaned piglets. Anim Nutr. 2024;16:23–33. doi: 10.1016/j.aninu.2023.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Wu Y., et al. Zinc stimulates glucose consumption by modulating the insulin signaling pathway in L6 myotubes: essential roles of Akt-GLUT4, GSK3beta and mTOR-S6K1. J. Nutr. Biochem. 2016;34:126–135. doi: 10.1016/j.jnutbio.2016.05.008. [DOI] [PubMed] [Google Scholar]
- 38.Li C., Geng C. GLIS family zinc finger 3 promotes triple-negative breast cancer progression by inducing cell proliferation, migration and invasion, and activating the NF-kappaB signaling pathway. Biol. Pharm. Bull. 2023;46(2):209–218. doi: 10.1248/bpb.b22-00595. [DOI] [PubMed] [Google Scholar]
- 39.Karges J., Stokes R.W., Cohen S.M. Metal complexes for therapeutic applications. Trends Chem. 2021;3(7):523–534. doi: 10.1016/j.trechm.2021.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Krezel A., Hao Q., Maret W. The zinc/thiolate redox biochemistry of metallothionein and the control of zinc ion fluctuations in cell signaling. Arch. Biochem. Biophys. 2007;463(2):188–200. doi: 10.1016/j.abb.2007.02.017. [DOI] [PubMed] [Google Scholar]
- 41.Spreckelmeyer S., Orvig C., Casini A. Cellular transport mechanisms of cytotoxic metallodrugs: an overview beyond cisplatin. Molecules. 2014;19(10):15584–15610. doi: 10.3390/molecules191015584. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Dutta S., et al. Network pharmacology of natural polyphenols for stroke: a bioinformatic approach to drug design. Adv. Appl. Bioinform. Chem. 2024;17:203–219. doi: 10.2147/AABC.S470861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Aragao G.F., Brandao C.B., Junior J.E.L. Cannabidiol in autism: clinical pharmacology priorities for trial design. Br. J. Clin. Pharmacol. 2025;92(2) doi: 10.1002/bcp.70400. 357-357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Huang Z.A., et al. Design, pharmacology, and toxicology of a novel chemically modified siRNA targeting hepatic angiotensinogen. Mol. Ther. Nucleic Acids. 2025;36(2) doi: 10.1016/j.omtn.2025.102542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Li Z., et al. The C2H2 Zinc-Finger protein ELR1 negatively regulates cytokinin metabolism and signaling pathway in rice. Funct. Integr. Genomics. 2025;25(1):254. doi: 10.1007/s10142-025-01772-1. [DOI] [PubMed] [Google Scholar]
- 46.Peña Q., et al. Metallodrugs in cancer nanomedicine. Chem. Soc. Rev. 2022;51(7):2544–2582. doi: 10.1039/d1cs00468a. [DOI] [PubMed] [Google Scholar]
- 47.Puiu R.A., et al. Anti-Cancer nanopowders and MAPLE-Fabricated thin films based on SPIONs surface modified with Paclitaxel loaded beta-cyclodextrin. Pharmaceutics. 2021;13(9) doi: 10.3390/pharmaceutics13091356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Gao L., et al. Understanding interfacial nanoparticle Organization through simulation and theory: a review. Langmuir. 2022;38(37):11137–11148. doi: 10.1021/acs.langmuir.2c01192. [DOI] [PubMed] [Google Scholar]
- 49.Rahman M.U., et al. Computational chemistry unveiled: a critical analysis of theoretical coordination chemistry and nanostructured materials. Chem. Prod. Process Model. 2024;19(4):473–515. [Google Scholar]
- 50.Suriyan R. Exploring transition metal complexes of pharmaceutical agents for enhanced bioactivity. Deep Science. 2025 doi: 10.70593/978-93-7185-576-1. [DOI] [Google Scholar]
- 51.Selden C.R., et al. Metal-binding amino acid ligands commonly found in metalloproteins differentially fractionate copper isotopes. Sci. Rep. 2024;14(1):1902. doi: 10.1038/s41598-024-52091-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Jarosz M., et al. Antioxidant and anti-inflammatory effects of zinc. Zinc-dependent NF-kappaB signaling. Inflammopharmacology. 2017;25(1):11–24. doi: 10.1007/s10787-017-0309-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Nguyen H.D., Do L.H. Taming glutathione potentiates metallodrug action. Curr. Opin. Chem. Biol. 2022;71 doi: 10.1016/j.cbpa.2022.102213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Ho T.L., Ho H.C., Hamilton L.D. Biochemical significance of the hard and soft acids and bases principle. Chem. Biol. Interact. 1978;23(1):65–84. doi: 10.1016/0009-2797(78)90042-x. [DOI] [PubMed] [Google Scholar]
- 55.Dokmanic I., Sikic M., Tomic S. Metals in proteins: correlation between the metal-ion type, coordination number and the amino-acid residues involved in the coordination. Acta Crystallogr D Biol Crystallogr. 2008;64(Pt 3):257–263. doi: 10.1107/S090744490706595X. [DOI] [PubMed] [Google Scholar]
- 56.Yang Z., et al. Cisplatin preferentially binds mitochondrial DNA and voltage-dependent anion channel protein in the mitochondrial membrane of head and neck squamous cell carcinoma: possible role in apoptosis. Clin. Cancer Res. 2006;12(19):5817–5825. doi: 10.1158/1078-0432.CCR-06-1037. [DOI] [PubMed] [Google Scholar]
- 57.Patrick S.M., Turchi J.J. Human replication protein A preferentially binds cisplatin-damaged duplex DNA in vitro. Biochemistry. 1998;37(24):8808–8815. doi: 10.1021/bi9730590. [DOI] [PubMed] [Google Scholar]
- 58.Lee S.J., Jang J.D., Choi S.M. Interparticle ligand exchange kinetics revealed by time-resolved SANS. Nano Lett. 2025;25(3):981–986. doi: 10.1021/acs.nanolett.4c04163. [DOI] [PubMed] [Google Scholar]
- 59.Harrington J.M., Mysore M.M., Crumbliss A.L. The kinetics of dimethylhydroxypyridinone interactions with iron(iii) and the catalysis of iron(iii) ligand exchange reactions: implications for bacterial iron transport and combination chelation therapies. Dalton Trans. 2018;47(20):6954–6964. doi: 10.1039/c8dt01329b. [DOI] [PubMed] [Google Scholar]
- 60.Mohammadnejad F., et al. Photodynamic therapy with zinc phthalocyanine enhances cisplatin sensitivity of human muscle-invasive bladder cancer cells by downregulation of PI3K/AKT/mTOR signaling pathway. Cancer Treat Res Commun. 2025;45 doi: 10.1016/j.ctarc.2025.101007. [DOI] [PubMed] [Google Scholar]
- 61.Jermy B.R., et al. SPIONs/3D SiSBA-16 based Multifunctional Nanoformulation for target specific cisplatin release in colon and cervical cancer cell lines. Sci. Rep. 2019;9(1) doi: 10.1038/s41598-019-51051-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Suntharalingam K., et al. A platinum complex that binds non-covalently to DNA and induces cell death via a different mechanism than cisplatin. Metallomics. 2013;5(5):514–523. doi: 10.1039/c3mt20252f. [DOI] [PubMed] [Google Scholar]
- 63.Panda T.R., et al. The power of Kinetic inertness in improving platinum anticancer therapy by circumventing resistance and ameliorating nephrotoxicity. Angew Chem. Int. Ed. Engl. 2023;62(38) doi: 10.1002/anie.202303958. [DOI] [PubMed] [Google Scholar]
- 64.Goodsell D.S. The molecular perspective: Cisplatin. Stem Cell. 2006;24(3):514–515. doi: 10.1634/stemcells.2006-CSC2. [DOI] [PubMed] [Google Scholar]
- 65.Pérez-Cabré M., et al. Pd (II) and Pt (II) complexes with aromatic diamines: study of their interaction with DNA. J. Inorg. Biochem. 2004;98(3):510–521. doi: 10.1016/j.jinorgbio.2003.12.022. [DOI] [PubMed] [Google Scholar]
- 66.Castro J., et al. Oxidative stress mechanism by gold compounds: a close look at total ROS increase and the inhibition of antioxidant enzymes. Chem.--Asian J. 2025;20(1) doi: 10.1002/asia.202400792. [DOI] [PubMed] [Google Scholar]
- 67.van der Westhuizen D., Bezuidenhout D.I., Munro O.Q. Cancer molecular biology and strategies for the design of cytotoxic gold (I) and gold (III) complexes: a tutorial review. Dalton transactions. 2021;50(47):17413–17437. doi: 10.1039/d1dt02783b. [DOI] [PubMed] [Google Scholar]
- 68.Swaminathan S., Karvembu R. Dichloro Ru (II)-p-cymene-1, 3, 5-triaza-7-phosphaadamantane (RAPTA-C): a case Study. ACS Pharmacol. Transl. Sci. 2023;6(7):982–996. doi: 10.1021/acsptsci.3c00085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Steinke S.J., et al. Ru (II) complexes with absorption in the photodynamic therapy window: 1O2 sensitization, DNA binding, and plasmid DNA photocleavage. Inorg. Chem. 2024;63(24):11450–11458. doi: 10.1021/acs.inorgchem.4c01665. [DOI] [PubMed] [Google Scholar]
- 70.Mairbäurl H., Weber R.E. Oxygen transport by hemoglobin. Compr. Physiol. 2012;2(2):1463–1489. doi: 10.1002/cphy.c080113. [DOI] [PubMed] [Google Scholar]
- 71.Talukder J. Nutraceuticals. Elsevier; 2021. Role of transferrin: an iron-binding protein in health and diseases; pp. 1011–1025. [Google Scholar]
- 72.Ojo O.O. University; of Reading: 2019. Oxidation of Low Density Lipoprotein by Ferritin at Lysosomal Ph and its Possible Role in Atherosclerosis. [Google Scholar]
- 73.Kagan H.M. Elastin and Elastases, Volume I. CRC Press; 2021. Posttranslational modification of elastin: lysine oxidation and cross-linking; pp. 109–125. [Google Scholar]
- 74.Tuzhilkin R., Ondruška V., Šulc M. Azurin: a model to Study a metal coordination sphere or electron transfer in metalloproteins. Int. J. Mol. Sci. 2025;26(9):4125. doi: 10.3390/ijms26094125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Ryabykh A., et al. The role of zinc ion in the active site of copper-zinc superoxide dismutase. ХАБАРШЫСЫ. 2022;1:77. [Google Scholar]
- 76.Cioni P., et al. Active-site copper and zinc ions modulate the quaternary structure of prokaryotic Cu, Zn superoxide dismutase. J. Mol. Biol. 2003;326(5):1351–1360. doi: 10.1016/s0022-2836(03)00047-0. [DOI] [PubMed] [Google Scholar]
- 77.Zhang Z., et al. Zinc-based deep eutectic solvent–An efficient carbonic anhydrase mimic for CO2 hydration and conversion. Separ. Purif. Technol. 2021;276 [Google Scholar]
- 78.Klug A. The discovery of zinc fingers and their applications in gene regulation and genome manipulation. Annu. Rev. Biochem. 2010;79(1):213–231. doi: 10.1146/annurev-biochem-010909-095056. [DOI] [PubMed] [Google Scholar]
- 79.Squarcina A., et al. Mechanistic insights into superoxide dismutation driven by dinuclear manganese complexes: the role of the Mn2-Core. ACS Catal. 2023;13(13):8561–8573. [Google Scholar]
- 80.Botta M., Tei L. Relaxivity enhancement in macromolecular and nanosized GdIII‐based MRI contrast agents. Eur. J. Inorg. Chem. 2012;2012(12):1945–1960. [Google Scholar]
- 81.Mazzei L., Musiani F., Ciurli S. The structure-based reaction mechanism of urease, a nickel dependent enzyme: tale of a long debate. J. Biol. Inorg Chem. 2020;25(6):829–845. doi: 10.1007/s00775-020-01808-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Chanani P.K. 2017. Novel Flavin Chemistry Involved in the Biosynthesis of the Lower Ligand of Vitamin B12. [Google Scholar]
- 83.Irving E., Stoker A.W. Vanadium compounds as PTP inhibitors. Molecules. 2017;22(12):2269. doi: 10.3390/molecules22122269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Okamoto K., Kusano T., Nishino T. Chemical nature and reaction mechanisms of the molybdenum cofactor of xanthine oxidoreductase. Curr. Pharm. Des. 2013;19(14):2606–2614. doi: 10.2174/1381612811319140010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Zeer-Wanklyn C.J., Zamble D.B. Microbial nickel: cellular uptake and delivery to enzyme centers. Curr. Opin. Chem. Biol. 2017;37:80–88. doi: 10.1016/j.cbpa.2017.01.014. [DOI] [PubMed] [Google Scholar]
- 86.Kircheva N., Toshev N., Dudev T. Holo-chromodulin: competition between the native Cr3+ and other biogenic cations (Fe3+, Fe2+, Mg2+, and Zn2+) for the binding sites. Metallomics. 2022;14(10):mfac082. doi: 10.1093/mtomcs/mfac082. [DOI] [PubMed] [Google Scholar]
- 87.Bai Y., et al. Advanced biological applications of cerium oxide nanozymes in disease related to oxidative damage. ACS Omega. 2024;9(8):8601–8614. doi: 10.1021/acsomega.3c03661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Homa K., et al. Surface functionalization of titanium-based implants with a nanohydroxyapatite layer and its impact on osteoblasts: a systematic review. J. Funct. Biomater. 2024;15(2):45. doi: 10.3390/jfb15020045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Zhang L., Carroll P., Meggers E. Ruthenium complexes as protein kinase inhibitors. Org. Lett. 2004;6(4):521–523. doi: 10.1021/ol036283s. [DOI] [PubMed] [Google Scholar]
- 90.Lee S.R., et al. The critical roles of zinc: beyond impact on myocardial signaling. Korean J. Physiol. Pharmacol. 2015;19(5):389–399. doi: 10.4196/kjpp.2015.19.5.389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Dosanjh N.S., Michel S.L. Microbial nickel metalloregulation: Nikrs for nickel ions. Curr. Opin. Chem. Biol. 2006;10(2):123–130. doi: 10.1016/j.cbpa.2006.02.011. [DOI] [PubMed] [Google Scholar]
- 92.Pápai M. Photoinduced low-spin→ high-spin mechanism of an octahedral Fe (II) complex revealed by synergistic spin-vibronic dynamics. Inorg. Chem. 2021;60(18):13950–13954. doi: 10.1021/acs.inorgchem.1c01838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Rozgonyi T., Vankó G., Pápai M. Branching mechanism of photoswitching in an Fe (II) polypyridyl complex explained by full singlet-triplet-quintet dynamics. Commun. Chem. 2023;6(1):7. doi: 10.1038/s42004-022-00796-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Nie Y., et al. Comparative studies on DNA-Binding mechanisms between enantiomers of a Polypyridyl Ruthenium(II) complex. J. Phys. Chem. B. 2022;126(26):4787–4798. doi: 10.1021/acs.jpcb.2c02104. [DOI] [PubMed] [Google Scholar]
- 95.Crespo M., et al. Kinetico-mechanistic study on the reduction/complexation sequence of PtIV/PtII organometallic complexes by thiol-containing biological molecules. Inorg. Chim. Acta. 2019;486:8–16. [Google Scholar]
- 96.Tagari E.-V., et al. The influence of the auxiliary ligand in monofunctional Pt(II) anticancer complexes on the DNA backbone. Int. J. Mol. Sci. 2024;25 doi: 10.3390/ijms25126526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Johnstone T.C., Suntharalingam K., Lippard S.J. The next generation of platinum drugs: targeted Pt(II) agents, nanoparticle delivery, and Pt(IV) prodrugs. Chem. Rev. 2016;116(5):3436–3486. doi: 10.1021/acs.chemrev.5b00597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Yang Y., Liao G., Fu C. Recent advances on octahedral polypyridyl ruthenium (II) complexes as antimicrobial agents. Polymers. 2018;10(6):650. doi: 10.3390/polym10060650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.ChunYan Z., et al. Design, synthesis, and evaluation of aryl-thioether ruthenium polypyridine complexes: a multi-target antimicrobial agents against gram-positive bacteria. Eur. J. Med. Chem. 2022;240 doi: 10.1016/j.ejmech.2022.114562. [DOI] [PubMed] [Google Scholar]
- 100.Kolozsvári N., Gill M. Targeting DNA mismatches with metal complexes. J. Inorg. Biochem. 2025;271 doi: 10.1016/j.jinorgbio.2025.112977. [DOI] [PubMed] [Google Scholar]
- 101.Nano A., et al. Rhodium complexes targeting DNA mismatches as a basis for new therapeutics in cancers deficient in mismatch repair. Biochemistry. 2021 July;60(26) doi: 10.1021/acs.biochem.1c00302. [DOI] [PubMed] [Google Scholar]
- 102.Tolbatov I., Umari P., Marrone A. Mechanism of action of Antitumor Au(I) N-Heterocyclic carbene complexes: a computational Insight on the targeting of TrxR selenocysteine. Int. J. Mol. Sci. 2024;25 doi: 10.3390/ijms25052625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Feng N., et al. Strategically engineered Au(I) complexes for orchestrated tumor eradication via chemo-phototherapy and induced immunogenic cell death. Nat. Commun. 2024;15 doi: 10.1038/s41467-024-52458-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Kircheva N., et al. Silico analysis of the Ga3+/Fe3+ competition for binding the iron-scavenging siderophores of P. aeruginosa—Implementation of three gallium-based complexes in the “Trojan Horse” antibacterial strategy. Biomolecules. 2024;14 doi: 10.3390/biom14040487. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Groessl M., Bytzek A., Hartinger C. The serum protein binding of pharmacologically active gallium(III) compounds assessed by hyphenated CE‐MS techniques. ELECTROPHORESIS. 2009;30 doi: 10.1002/elps.200800745. [DOI] [PubMed] [Google Scholar]
- 106.Lutz P., Coombs W., Bayse C. Determination of structural factors contributing to protection of zinc fingers in Estrogen receptor α through molecular dynamic simulations. J. Phys. Chem. B. 2025;129:2226–2234. doi: 10.1021/acs.jpcb.4c05730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Shukla P., et al. Development of a tumor microenvironment‐responsive Co(III)‐Chrysin prodrug: synthesis, activation profiling, and in vitro antineoplastic evaluation. ChemMedChem. 2025;20 doi: 10.1002/cmdc.202500232. [DOI] [PubMed] [Google Scholar]
- 108.He S.-F., et al. Iridium(III) complex induces apoptosis in HeLa cells by regulating mitochondrial and PI3K/AKT signaling pathways: in vitro and in vivo experiments. Bioorg. Chem. 2023;141 doi: 10.1016/j.bioorg.2023.106867. [DOI] [PubMed] [Google Scholar]
- 109.Yuan G., et al. Highly dynamic polynuclear metal cluster revealed in a single metallothionein molecule. Research. 2021:2021. doi: 10.34133/2021/9756945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Sigal G., et al. A self-assembled monolayer for the binding and study of histidine-tagged proteins by surface plasmon resonance. Anal. Chem. 1996;68(3):490–497. doi: 10.1021/ac9504023. [DOI] [PubMed] [Google Scholar]
- 111.Kastal Z., et al. Copper(II), Nickel(II) and Zinc(II) complexes of peptide fragments of tau protein. Molecules. 2024;29 doi: 10.3390/molecules29102171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Zhang X., et al. A Copper/Ferrous‐Engineering redox homeostasis disruptor for Cuproptosis/Ferroptosis co‐activated nanocatalytic therapy in liver cancer. Adv. Funct. Mater. 2024;34 [Google Scholar]
- 113.Huang L., et al. Tumor-Generated reactive oxygen species storm for high-performance ferroptosis therapy. ACS Nano. 2023;17(12) doi: 10.1021/acsnano.3c01369. [DOI] [PubMed] [Google Scholar]
- 114.Fritsch S., et al. Uptake mechanisms and regulatory responses to MECAM- and DOTAM-Based artificial siderophores and their antibiotic conjugates in Pseudomonas aeruginosa. ACS Infect. Dis. 2022;8(6):1134–1146. doi: 10.1021/acsinfecdis.2c00049. [DOI] [PubMed] [Google Scholar]
- 115.Bohac T., et al. Synthetic mimics of native siderophores disrupt iron trafficking in Acinetobacter baumannii. ACS Infect. Dis. 2021;7(8):2138–2151. doi: 10.1021/acsinfecdis.1c00119. [DOI] [PubMed] [Google Scholar]
- 116.Annunziata A., et al. Ruthenium(II)–Arene complexes with glycosylated NHC-Carbene Co-Ligands: synthesis, hydrolytic behavior, and binding to biological molecules. Organometallics. 2023;42(10):952–964. [Google Scholar]
- 117.Vigna V., et al. Anticancer activity, reduction mechanism and G-Quadruplex DNA binding of a redox-activated Platinum(IV)–Salphen complex. Int. J. Mol. Sci. 2022;23 doi: 10.3390/ijms232415579. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Navas F., et al. Enhanced cytotoxicity and reactivity of a novel Platinum(IV) family with DNA-Targeting naphthalimide ligands. Inorg. Chem. 2017;56(11):6175–6183. doi: 10.1021/acs.inorgchem.7b00136. [DOI] [PubMed] [Google Scholar]
- 119.Liu J., et al. Light-induced control of protein destruction by opto-PROTAC. Sci. Adv. 2020;6 doi: 10.1126/sciadv.aay5154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Fleming C., Grøtli M., Andréasson J. On‐Command regulation of kinase activity using photonic stimuli. ChemPhotoChem. 2019;3(6):318–326. [Google Scholar]
- 121.Sahoo J., et al. Lanthanide based inorganic phosphates and biological nucleotides sensor. Coord. Chem. Rev. 2022;466 [Google Scholar]
- 122.Wilharm R., et al. A walk across the lanthanide series: trend in affinity for phosphate and stability of lanthanide receptors from La(III) to Lu(III) Inorg. Chem. 2021;60(20(20):15808–15817. doi: 10.1021/acs.inorgchem.1c02462. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Favaron C., et al. Effects of ferrocene and ferrocenium on MCF-7 breast cancer cells and interconnection with regulated cell death pathways. Molecules. 2023;28 doi: 10.3390/molecules28186469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Su F., et al. Iron(III)-salophene catalyzes redox cycles that induce phospholipid peroxidation and deplete cancer cells of ferroptosis-protecting cofactors. Redox Biol. 2024;75 doi: 10.1016/j.redox.2024.103257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Dasari S., Tchounwou P.B. Cisplatin in cancer therapy: molecular mechanisms of action. Eur. J. Pharmacol. 2014;740:364–378. doi: 10.1016/j.ejphar.2014.07.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Christianson D.W. Structural biology of zinc. Adv. Protein Chem. 1991;42:281–355. doi: 10.1016/s0065-3233(08)60538-0. [DOI] [PubMed] [Google Scholar]
- 127.Laitaoja M., Valjakka J., Jänis J. Zinc coordination spheres in protein structures. Inorg. Chem. 2013;52(19):10983–10991. doi: 10.1021/ic401072d. [DOI] [PubMed] [Google Scholar]
- 128.Feng L., et al. Structurally sophisticated octahedral metal complexes as highly selective protein kinase inhibitors. J. Am. Chem. Soc. 2011;133(15):5976–5986. doi: 10.1021/ja1112996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Aher S., et al. Pt(IV) complexes in the search for novel platinum prodrugs with promising activity. Top. Curr. Chem. 2024;382(1):6. doi: 10.1007/s41061-023-00448-3. [DOI] [PubMed] [Google Scholar]
- 130.Martínez-Romera L., et al. Reactivity of square planar Pt(II) complexes toward acidic moieties as H(+), M(+), and [ML](+) (M = Ag, Au) Chemistry. 2025;31(59) doi: 10.1002/chem.202502370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Raimunda D., et al. A tetrahedral coordination of Zinc during transmembrane transport by P-type Zn(2+)-ATPases. Biochim. Biophys. Acta. 2012;1818(5):1374–1377. doi: 10.1016/j.bbamem.2012.02.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Santos M.M., et al. Recent advances of metallocenes for medicinal chemistry. Mini Rev. Med. Chem. 2017;17(9):771–784. doi: 10.2174/1389557516666161031141620. [DOI] [PubMed] [Google Scholar]
- 133.Fita S.W., et al. Advances in titanium-based biomaterial for human bone scaffolds: narrative review on design, fabrication, surface engineering, implantation, and biological evaluation. Materials. 2025;18(23) doi: 10.3390/ma18235421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Kleber M., et al. Dynamic interactions at the mineral–organic matter interface. Nat. Rev. Earth Environ. 2021;2(6):402–421. [Google Scholar]
- 135.Haas K.L., Franz K.J. Application of metal coordination chemistry to explore and manipulate cell biology. Chem. Rev. 2009;109(10):4921–4960. doi: 10.1021/cr900134a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Kiss T., et al. Speciation of metal complexes of medicinal interest: relationship between solution equilibria and pharmaceutical properties. Curr. Med. Chem. 2019;26(4):580–606. doi: 10.2174/0929867325666180307113435. [DOI] [PubMed] [Google Scholar]
- 137.Renteria M., et al. Zinc's Association with the CmPn/CmP signaling network in breast cancer tumorigenesis. Biomolecules. 2022;12(11) doi: 10.3390/biom12111672. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Uhrigshardt H., et al. Characterization of the human HSC20, an unusual DnaJ type III protein, involved in iron-sulfur cluster biogenesis. Hum. Mol. Genet. 2010;19(19):3816–3834. doi: 10.1093/hmg/ddq301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Rodriguez-Munoz M., Garzon J. Nitric oxide and zinc-mediated protein assemblies involved in mu opioid receptor signaling. Mol. Neurobiol. 2013;48(3):769–782. doi: 10.1007/s12035-013-8465-z. [DOI] [PubMed] [Google Scholar]
- 140.Sokolowska M., Pawlas K., Bal W. Effect of common buffers and heterocyclic ligands on the binding of Cu(II) at the multimetal binding site in human serum albumin. Bioinorgan. Chem. Appl. 2010;2010 doi: 10.1155/2010/725153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Shaw I.C. Gold-based therapeutic agents. Chem. Rev. 1999;99(9):2589–2600. doi: 10.1021/cr980431o. [DOI] [PubMed] [Google Scholar]
- 142.Abdalbari F.H., Telleria C.M. The gold complex auranofin: new perspectives for cancer therapy. Discov. Oncol. 2021;12(1):42. doi: 10.1007/s12672-021-00439-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Zhang Y.-F., et al. Metal N-heterocyclic carbene complexes as potential metallodrugs in antitumor therapy. Coord. Chem. Rev. 2024;514 [Google Scholar]
- 144.Novera W., et al. Cysteine deprivation targets ovarian clear cell carcinoma via oxidative stress and iron-sulfur cluster biogenesis deficit. Antioxid. Redox Signaling. 2020;33(17):1191–1208. doi: 10.1089/ars.2019.7850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Chakrabarti P. Geometry of interaction of metal ions with histidine residues in protein structures. Protein Eng. 1990;4(1):57–63. doi: 10.1093/protein/4.1.57. [DOI] [PubMed] [Google Scholar]
- 146.Liao S.M., et al. The multiple roles of histidine in protein interactions. Chem. Cent. J. 2013;7(1):44. doi: 10.1186/1752-153X-7-44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Huang H.Y., et al. Dissociation energy of the ground state of NaH. J. Chem. Phys. 2010;133(4) doi: 10.1063/1.3458914. [DOI] [PubMed] [Google Scholar]
- 148.Czech L., et al. Role of the extremolytes ectoine and hydroxyectoine as stress protectants and nutrients: Genetics, phylogenomics, biochemistry, and structural analysis. Genes. 2018;9(4) doi: 10.3390/genes9040177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.Pangilinan N.D.T., et al. Profiling the anti-photoaging impact of titanium dioxide and zinc oxide nanoparticles: a focus on signaling pathways. FASEB J. 2025;39(9) doi: 10.1096/fj.202500342R. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Affatigato L., et al. Ferritin-Coated SPIONs as new cancer cell targeted magnetic nanocarrier. Molecules. 2023;28(3) doi: 10.3390/molecules28031163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Jiang W., et al. Conjugation of functionalized SPIONs with transferrin for targeting and imaging brain glial tumors in rat model. PLoS One. 2012;7(5) doi: 10.1371/journal.pone.0037376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Wadas T.J., et al. Coordinating radiometals of copper, gallium, indium, yttrium, and zirconium for PET and SPECT imaging of disease. Chem. Rev. 2010;110(5):2858–2902. doi: 10.1021/cr900325h. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Yin J., et al. Small molecule based fluorescent chemosensors for imaging the microenvironment within specific cellular regions. Chem. Soc. Rev. 2021;50(21):12098–12150. doi: 10.1039/d1cs00645b. [DOI] [PubMed] [Google Scholar]
- 154.Gaudreault I., Guay D., Lebel M. YB-1 promotes strand separation in vitro of duplex DNA containing either mispaired bases or cisplatin modifications, exhibits endonucleolytic activities and binds several DNA repair proteins. Nucleic Acids Res. 2004;32(1):316–327. doi: 10.1093/nar/gkh170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Merkul E., et al. An efficient conjugation approach for coupling drugs to native antibodies via the Pt(II) linker Lx for improved manufacturability of antibody-drug conjugates. Angew Chem. Int. Ed. Engl. 2021;60(6):3008–3015. doi: 10.1002/anie.202011593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.De Castro F., et al. Compatibility of nucleobases containing Pt(II) complexes with red blood cells for possible drug delivery applications. Molecules. 2023;28(19) doi: 10.3390/molecules28196760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Kaur M., et al. Antimicrobial efficacy of a hemilabile Pt(II)-NHC compound against drug-resistant S. aureus and Enterococcus. Dalton Trans. 2023;52(7):1876–1884. doi: 10.1039/d2dt03365h. [DOI] [PubMed] [Google Scholar]
- 158.Chong H., et al. Organo-Pt(ii) complexes for potent photodynamic inactivation of multi-drug resistant bacteria and the influence of configuration. Adv. Sci. (Weinh.) 2024;11(14) doi: 10.1002/advs.202306936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Huang T., et al. Pincer-Type Pt(II)-NHC antibody-drug conjugate for HER-2-Targeted chemoimmunotherapy. Adv. Healthcare Mater. 2025;14(9) doi: 10.1002/adhm.202403449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Deng Z., Zhu G. Beyond mere DNA damage: recent progress in platinum (IV) anticancer complexes containing multi-functional axial ligands. Curr. Opin. Chem. Biol. 2023;74 doi: 10.1016/j.cbpa.2023.102303. [DOI] [PubMed] [Google Scholar]
- 161.Graf N., Lippard S.J. Redox activation of metal-based prodrugs as a strategy for drug delivery. Adv. Drug Deliv. Rev. 2012;64(11):993–1004. doi: 10.1016/j.addr.2012.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Guzonjic A., et al. Alterations in GSH/GSSG and CyS/CySS redox status in small cell lung cancer patients undergoing chemotherapy. Discov. Oncol. 2025;16(1):1445. doi: 10.1007/s12672-025-03251-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163.Zhu W., et al. Lower serum GPX4 and GSH/GSSG ratio are associated with poor prognosis in severe community-acquired pneumonia. Eur. J. Med. Res. 2025;30(1):783. doi: 10.1186/s40001-025-03038-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.Mura S., Nicolas J., Couvreur P. Stimuli-responsive nanocarriers for drug delivery. Nat. Mater. 2013;12(11):991–1003. doi: 10.1038/nmat3776. [DOI] [PubMed] [Google Scholar]
- 165.Hu A., et al. Chelating rare-earth metals (Ln3+) and 225Ac3+ with the dual-size-selective macrocyclic ligand Py2-macrodipa. Inorg. Chem. 2022;61(32):12847–12855. doi: 10.1021/acs.inorgchem.2c01998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166.Xu Z., et al. Novel hypoxia-targeting pt(iv) prodrugs. Chem. Commun. 2017;53(26):3749–3752. doi: 10.1039/c7cc01320e. [DOI] [PubMed] [Google Scholar]
- 167.Jomova K., Valko M. Advances in metal-induced oxidative stress and human disease. Toxicology. 2011;283(2–3):65–87. doi: 10.1016/j.tox.2011.03.001. [DOI] [PubMed] [Google Scholar]
- 168.Famlonga L., et al. Solution stability and storage effect on selected metallodrugs: a multi-technique evaluation. Metallomics. 2025;17(12) doi: 10.1093/mtomcs/mfaf039. [DOI] [PubMed] [Google Scholar]
- 169.Gagner J.E., et al. Engineering nanomaterials for biomedical applications requires understanding the nano-bio interface: a perspective. J. Phys. Chem. Lett. 2012;3(21):3149–3158. doi: 10.1021/jz301253s. [DOI] [PubMed] [Google Scholar]
- 170.Wessler I., Kirkpatrick C.J. Acetylchonline beyond neurons: the non-neuronal cholinergic system in humans. Br. J. Pharmacol. 2008;154(8):1558–1571. doi: 10.1038/bjp.2008.185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.Stec G.J., Wilson J.J. Coordination chemistry of emerging Meitner-Auger electron-emitting radiometals for targeted radionuclide therapy. Coord. Chem. Rev. 2025;542 doi: 10.1016/j.ccr.2025.216764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172.Kilpin K.J., Dyson P.J. Enzyme inhibition by metal complexes: concepts, strategies and applications. Chem. Sci. 2013;4(4):1410–1419. [Google Scholar]
- 173.Zardecki C., et al. PDB-101: educational resources supporting molecular explorations through biology and medicine. Protein Sci. 2022;31(1):129–140. doi: 10.1002/pro.4200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.McDonald E.S., et al. Cisplatin preferentially binds to DNA in dorsal root ganglion neurons in vitro and in vivo: a potential mechanism for neurotoxicity. Neurobiol. Dis. 2005;18(2):305–313. doi: 10.1016/j.nbd.2004.09.013. [DOI] [PubMed] [Google Scholar]
- 175.Wetzel C.C., Berberich S.J. p53 binds to cisplatin-damaged DNA. Biochim. Biophys. Acta. 2001;1517(3):392–397. doi: 10.1016/s0167-4781(00)00305-5. [DOI] [PubMed] [Google Scholar]
- 176.Nano A., et al. Rhodium complexes targeting DNA mismatches as a basis for new therapeutics in cancers deficient in mismatch repair. Biochemistry. 2021;60(26):2055–2063. doi: 10.1021/acs.biochem.1c00302. [DOI] [PubMed] [Google Scholar]
- 177.Kolozsvári N., Gill M.R. Targeting DNA mismatches with metal complexes. J. Inorg. Biochem. 2025;271 doi: 10.1016/j.jinorgbio.2025.112977. [DOI] [PubMed] [Google Scholar]
- 178.Loreto D., Ferraro G., Merlino A. Protein-metallodrugs interactions: effects on the overall protein structure and characterization of Au, Ru and Pt binding sites. Int. J. Biol. Macromol. 2020;163:970–976. doi: 10.1016/j.ijbiomac.2020.07.053. [DOI] [PubMed] [Google Scholar]
- 179.Pickering I.J., et al. Direct observation of methylmercury and Auranofin binding to selenocysteine in thioredoxin reductase. Inorg. Chem. 2020;59(5):2711–2718. doi: 10.1021/acs.inorgchem.9b03072. [DOI] [PubMed] [Google Scholar]
- 180.Prast-Nielsen S., et al. Noble metal targeting of thioredoxin reductase--covalent complexes with thioredoxin and thioredoxin-related protein of 14 kDa triggered by cisplatin. Free Radic. Biol. Med. 2010;49(11):1765–1778. doi: 10.1016/j.freeradbiomed.2010.09.008. [DOI] [PubMed] [Google Scholar]
- 181.Sun Y., Wong M.D., Rosen B.P. Both metal binding sites in the homodimer are required for metalloregulation by the CadC repressor. Mol. Microbiol. 2002;44(5):1323–1329. doi: 10.1046/j.1365-2958.2002.02961.x. [DOI] [PubMed] [Google Scholar]
- 182.Quadros Barsé L., et al. Auranofin induces disulfide bond-mimicking S-Au adducts in protein thiol pairs. J. Biol. Chem. 2025;301(3) doi: 10.1016/j.jbc.2025.108159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183.De Luca A., et al. A new target for gold(I) compounds: glutathione-s-transferase inhibition by auranofin. J. Inorg. Biochem. 2013;119:38–42. doi: 10.1016/j.jinorgbio.2012.08.006. [DOI] [PubMed] [Google Scholar]
- 184.Das A., Adhikari C., Chakraborty A. Interaction of different divalent metal ions with lipid bilayer: impact on the encapsulation of doxorubicin by lipid bilayer and lipoplex mediated deintercalation. J. Phys. Chem. B. 2017;121(8):1854–1865. doi: 10.1021/acs.jpcb.6b11443. [DOI] [PubMed] [Google Scholar]
- 185.De S.K., et al. Spectroscopic evidence for hydration and dehydration of lipid bilayers upon interaction with metal ions: a new physical insight. Phys. Chem. Chem. Phys. 2018;20(21):14796–14807. doi: 10.1039/c8cp01774c. [DOI] [PubMed] [Google Scholar]
- 186.Kruczek J., et al. Interactions of monovalent and divalent cations at palmitoyl-oleoyl-phosphatidylcholine interface. Langmuir. 2019;35(32):10522–10532. doi: 10.1021/acs.langmuir.9b01275. [DOI] [PubMed] [Google Scholar]
- 187.Delaney S., et al. Oxidative damage by ruthenium complexes containing the dipyridophenazine ligand or its derivatives: a focus on intercalation. Inorg. Chem. 2002;41(7):1966–1974. doi: 10.1021/ic0111738. [DOI] [PubMed] [Google Scholar]
- 188.Sharmin A., et al. Photophysical studies of bioconjugated ruthenium metal-ligand complexes incorporated in phospholipid membrane bilayers. Inorg. Chem. 2013;52(19):10835–10845. doi: 10.1021/ic400706u. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189.Shi Y., et al. Pt(IV) complexes as prodrugs for cisplatin. J. Inorg. Biochem. 2012;107(1):6–14. doi: 10.1016/j.jinorgbio.2011.10.012. [DOI] [PubMed] [Google Scholar]
- 190.Chang J., et al. Cross-bridged cyclen or cyclam Co(III) complexes containing cytotoxic ligands as hypoxia-activated prodrugs. Inorg. Chem. 2013;52(13):7688–7698. doi: 10.1021/ic4006967. [DOI] [PubMed] [Google Scholar]
- 191.Wang Y., et al. Biomimetic ZIF-8 nanoparticles: a novel approach for biomimetic drug delivery systems. Int. J. Nanomed. 2024;19:5523–5544. doi: 10.2147/IJN.S462480. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 192.De Moura Ferraz L.R., et al. ZIF-8 as a promising drug delivery system for benznidazole: development, characterization, in vitro dialysis release and cytotoxicity. Sci. Rep. 2020;10 doi: 10.1038/s41598-020-73848-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193.Kim B., Hambley T., Bryce N. Visualising the hypoxia selectivity of cobalt(III) prodrugs. Chem. Sci. 2011;2:2135–2142. [Google Scholar]
- 194.Kozsup M., et al. Synthesis, characterization and cytotoxicity studies of Co(III)-flavonolato complexes. J. Inorg. Biochem. 2021;217 doi: 10.1016/j.jinorgbio.2021.111382. [DOI] [PubMed] [Google Scholar]
- 195.Zhu J., et al. Multifunctional nanolocks with GSH as the key for synergistic ferroptosis and anti-chemotherapeutic resistance. Biomaterials. 2022 doi: 10.1016/j.biomaterials.2022.121704. [DOI] [PubMed] [Google Scholar]
- 196.Wei T., et al. ACS biomaterials science & engineering; 2022. A Multifunctional Nanoplatform Based on Fenton-like and Russell Reactions of Cu, Mn Bimetallic Ions Synergistically Enhanced ROS Stress for Improved Chemodynamic Therapy. [DOI] [PubMed] [Google Scholar]
- 197.Shen X., et al. A monofunctional Pt(II) complex combats triple negative breast cancer by triggering lysosome-dependent cell death. Dalton transactions. 2024;53(8):3808–3817. doi: 10.1039/d3dt03598k. [DOI] [PubMed] [Google Scholar]
- 198.Scaffidi-Domianello Y., et al. Synthesis, characterization, and cytotoxic activity of novel potentially pH-sensitive nonclassical platinum(II) complexes featuring 1,3-dihydroxyacetone oxime ligands. Inorg. Chem. 2011;50(21):10673–10681. doi: 10.1021/ic2010612. [DOI] [PubMed] [Google Scholar]
- 199.Profitt L., Baxter R., Valentine A. Superstoichiometric binding of the anticancer agent Titanocene dichloride by Human Serum transferrin and the accompanying lobe closure. Biochemistry. 2022;61(9):795–803. doi: 10.1021/acs.biochem.1c00813. [DOI] [PubMed] [Google Scholar]
- 200.Guo M., et al. Ti(IV) uptake and release by human serum transferrin and recognition of Ti(IV)-transferrin by cancer cells: understanding the mechanism of action of the anticancer drug titanocene dichloride. Biochemistry. 2000;39(33):10023–10033. doi: 10.1021/bi000798z. [DOI] [PubMed] [Google Scholar]
- 201.Wang Z., et al. A mitochondria-targetable Europium(III) complex-based probe for time-gated luminescence and lifetime detection of hypochlorous acid in vitro and in vivo. Inorg. Chem. 2025;64(17):8685–8693. doi: 10.1021/acs.inorgchem.5c00525. [DOI] [PubMed] [Google Scholar]
- 202.Gonzalo-Navarro C., et al. Ir(III) half-sandwich photosensitizers with a π-Expansive ligand for efficient anticancer photodynamic therapy. J. Med. Chem. 2024;67:1783–1811. doi: 10.1021/acs.jmedchem.3c01276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203.Wei L., et al. In-Cell NAD(P)H photocatalysis with a metal complex for photocatalytic anticancer therapy. Acc. Chem. Res. 2025;58(16):2640–2651. doi: 10.1021/acs.accounts.5c00455. [DOI] [PubMed] [Google Scholar]
- 204.Chen G., et al. Mitochondrial oxidative stress mediated Fe-induced ferroptosis via the NRF2-ARE pathway. Free Radic. Biol. Med. 2022;180:95–107. doi: 10.1016/j.freeradbiomed.2022.01.012. [DOI] [PubMed] [Google Scholar]
- 205.Rochette L., et al. Lipid peroxidation and iron metabolism: two corner stones in the homeostasis control of ferroptosis. Int. J. Mol. Sci. 2022;24 doi: 10.3390/ijms24010449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206.Zhang X., et al. Matrix metalloproteinases-2/9-sensitive peptide-conjugated polymer micelles for site-specific release of drugs and enhancing tumor accumulation: preparation and in vitro and in vivo evaluation. Int. J. Nanomed. 2016;11:1643–1661. doi: 10.2147/IJN.S101030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 207.Corinti D., et al. Hydrolysis of cis- and transplatin: structure and reactivity of the aqua complexes in a solvent free environment. RSC Adv. 2017;7:15877–15884. [Google Scholar]
- 208.Din S.M.U., et al. Therapeutic targeting of hypoxia-inducible factors in cancer. Int. J. Mol. Sci. 2024;25 doi: 10.3390/ijms25042060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209.Qannita R., et al. Targeting hypoxia-inducible Factor-1 (HIF-1) in cancer: emerging therapeutic strategies and pathway regulation. Pharmaceuticals. 2024;17 doi: 10.3390/ph17020195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210.Gorini G., et al. Au2phen and Auoxo6, two dinuclear Oxo-Bridged Gold(III) compounds, induce apoptotic signaling in human ovarian A2780 cancer cells. Biomedicines. 2021;9 doi: 10.3390/biomedicines9080871. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211.Chen J., et al. Current status and prospects of MOFs in controlled delivery of Pt anticancer drugs. Dalton transactions. 2023;52(19):6226–6238. doi: 10.1039/d3dt00413a. [DOI] [PubMed] [Google Scholar]
- 212.Wang Y., et al. Metal–Organic framework assisted and tumor Microenvironment modulated synergistic image‐guided photo‐chemo therapy. Adv. Funct. Mater. 2020;30 [Google Scholar]
- 213.Shano L.B., et al. MOFs for next-generation cancer therapeutics through a biophysical approach—a review. Front. Bioeng. Biotechnol. 2024;12 doi: 10.3389/fbioe.2024.1397804. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214.Negi M., Venkatesh V. Near-infrared light-activatable iridium(iii) complexes for synergistic photodynamic and photochemotherapy. Chem. Sci. 2025;16:6376–6382. doi: 10.1039/d5sc00156k. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 215.Kuang S., et al. Photodecaging of a Mitochondria-Localized Iridium(III) endoperoxide complex for two-photon photoactivated therapy under hypoxia. J. Am. Chem. Soc. 2022;144(9):4091–4101. doi: 10.1021/jacs.1c13137. [DOI] [PubMed] [Google Scholar]
- 216.Yi Z., et al. Enhancing ROS-Inducing nanozyme through intraparticle Electron transport. Small. 2023;20(6):e2305974. doi: 10.1002/smll.202305974. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 217.Welsh A., et al. Trinuclear ruthenium (II) polypyridyl complexes: evaluation as photosensitizers for enhanced cervical cancer treatment. J. Inorg. Biochem. 2024;256 doi: 10.1016/j.jinorgbio.2024.112545. [DOI] [PubMed] [Google Scholar]
- 218.Bahreman A., et al. Binding of a ruthenium complex to a thioether ligand embedded in a negatively charged lipid bilayer: a two-step mechanism. Chemistry. 2014;20(24):7429–7438. doi: 10.1002/chem.201400377. [DOI] [PubMed] [Google Scholar]
- 219.Munteanu A.C., Uivarosi V. Ruthenium complexes in the fight against pathogenic microorganisms. An extensive review. Pharmaceutics. 2021;13(6) doi: 10.3390/pharmaceutics13060874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220.Bortolotti A., et al. Mechanism of lipid bilayer perturbation by bactericidal membrane-active small molecules. Biochimica et Biophysica Acta (BBA)-Biomembranes. 2023;1865(1) doi: 10.1016/j.bbamem.2022.184079. [DOI] [PubMed] [Google Scholar]
- 221.Yang J., et al. Artificial transmembrane ion transporters as potential therapeutics. Chem. 2021;7(12):3256–3291. [Google Scholar]
- 222.Casini A., Woods B., Wenzel M. The promise of self-assembled 3D supramolecular coordination complexes for biomedical applications. Inorg. Chem. 2017;56(24):14715–14729. doi: 10.1021/acs.inorgchem.7b02599. [DOI] [PubMed] [Google Scholar]
- 223.Brescia F., et al. Recent advances in the development of metal-glycoconjugates for medicinal applications. Molecules. 2025;30(17) doi: 10.3390/molecules30173537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 224.Stauber J.M. Tailoring metallosupramolecular glycoassemblies for enhancing lectin recognition. Angew Chem. Int. Ed. Engl. 2024;63(40) doi: 10.1002/anie.202408751. [DOI] [PubMed] [Google Scholar]
- 225.Olelewe C., Awuah S.G. Mitochondria as a target of third row transition metal-based anticancer complexes. Curr. Opin. Chem. Biol. 2023;72 doi: 10.1016/j.cbpa.2022.102235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 226.Dzajic I., et al. Lipophilic cations as mitochondria-targeting moieties: recent progress and design principles for medicinal chemistry. J. Med. Chem. 2025;68(22):23690–23704. doi: 10.1021/acs.jmedchem.5c02076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 227.Escoll P., Platon L., Buchrieser C. Roles of mitochondrial respiratory complexes during infection. Immunometabolism. 2019;1(2) [Google Scholar]
- 228.Santini C., et al. Advances in copper complexes as anticancer agents. Chem. Rev. 2014;114(1):815–862. doi: 10.1021/cr400135x. [DOI] [PubMed] [Google Scholar]
- 229.Vyas S., Zaganjor E., Haigis M.C. Mitochondria and cancer. Cell. 2016;166(3):555–566. doi: 10.1016/j.cell.2016.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 230.Erxleben A. Mitochondria-Targeting anticancer metal complexes. Curr. Med. Chem. 2019;26(4):694–728. doi: 10.2174/0929867325666180307112029. [DOI] [PubMed] [Google Scholar]
- 231.Patra S., Ghosh G. Supramolecular self-assembled peptide scaffolds for fluorescence enhancement and delayed emission. Chem. Commun. 2026;62(9):2758–2775. doi: 10.1039/d5cc06100h. [DOI] [PubMed] [Google Scholar]
- 232.Cao W., Zheng W., Chen T. Ruthenium polypyridyl complex inhibits growth and metastasis of breast cancer cells by suppressing FAK signaling with enhancement of TRAIL-induced apoptosis. Sci. Rep. 2015;5(1):9157. doi: 10.1038/srep09157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 233.Jeon K.I., Byun M.S., Jue D.M. Gold compound auranofin inhibits IkappaB kinase (IKK) by modifying Cys-179 of IKKbeta subunit. Exp. Mol. Med. 2003;35(2):61–66. doi: 10.1038/emm.2003.9. [DOI] [PubMed] [Google Scholar]
- 234.Yang C., et al. Anticancer osmium complex inhibitors of the HIF-1α and p300 protein-protein interaction. Sci. Rep. 2017;7(1) doi: 10.1038/srep42860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235.Huang K.B., et al. Organometallic Gold(III) complexes similar to tetrahydroisoquinoline induce ER-Stress-Mediated apoptosis and pro-death autophagy in A549 cancer cells. J. Med. Chem. 2018;61(8):3478–3490. doi: 10.1021/acs.jmedchem.7b01694. [DOI] [PubMed] [Google Scholar]
- 236.Marino G., et al. Self-consumption: the interplay of autophagy and apoptosis. Nat. Rev. Mol. Cell Biol. 2014;15(2):81–94. doi: 10.1038/nrm3735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237.Li J., et al. Ferroptosis: past, present and future. Cell Death Dis. 2020;11(2):88. doi: 10.1038/s41419-020-2298-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238.Wang B., et al. Advances in ferroptosis: synergistic therapies and fluorescent probes as arrows to target cancer's achilles heel. Coord. Chem. Rev. 2025;541 [Google Scholar]
- 239.Feng S., et al. The mechanism of ferroptosis and its related diseases. Molecular biomedicine. 2023;4(1):33. doi: 10.1186/s43556-023-00142-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 240.Zou J.X., et al. Metal-based immunogenic cell death inducers for cancer immunotherapy. Chem. Sci. 2025;16(15):6160–6187. doi: 10.1039/d4sc08495k. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 241.Xie D., Wang Q., Wu G. Research progress in inducing immunogenic cell death of tumor cells. Front. Immunol. 2022;13 doi: 10.3389/fimmu.2022.1017400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 242.Hornung V., et al. Silica crystals and aluminum salts activate the NALP3 inflammasome through phagosomal destabilization. Nat. Immunol. 2008;9(8):847–856. doi: 10.1038/ni.1631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243.Kooijman S., et al. Aluminum hydroxide and aluminum phosphate adjuvants elicit a different innate immune response. J. Pharmaceut. Sci. 2022;111(4):982–990. doi: 10.1016/j.xphs.2022.01.014. [DOI] [PubMed] [Google Scholar]
- 244.Bilyy R., et al. Aluminum oxide nanowires as safe and effective adjuvants for next-generation vaccines. Mater. Today. 2019;22:58–66. [Google Scholar]
- 245.Yan Z., et al. Quasi Fe MIL-53 nanozyme inducing ferroptosis and immunogenic cell death for cancer immunotherapy. Nat. Commun. 2025;16(1):2290. doi: 10.1038/s41467-025-57542-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 246.Dilruba S., Kalayda G.V. Platinum-based drugs: past, present and future. Cancer Chemother. Pharmacol. 2016;77(6):1103–1124. doi: 10.1007/s00280-016-2976-z. [DOI] [PubMed] [Google Scholar]
- 247.Kelland L. The resurgence of platinum-based cancer chemotherapy. Nat. Rev. Cancer. 2007;7(8):573–584. doi: 10.1038/nrc2167. [DOI] [PubMed] [Google Scholar]
- 248.McFarland S.A., et al. Metal-based photosensitizers for photodynamic therapy: the future of multimodal oncology? Curr. Opin. Chem. Biol. 2020;56:23–27. doi: 10.1016/j.cbpa.2019.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 249.Hartinger C.G., et al. KP1019, a new redox-active anticancer agent--preclinical development and results of a clinical phase I study in tumor patients. Chem. Biodivers. 2008;5(10):2140–2155. doi: 10.1002/cbdv.200890195. [DOI] [PubMed] [Google Scholar]
- 250.Howerton B.S., Heidary D.K., Glazer E.C. Strained ruthenium complexes are potent light-activated anticancer agents. J. Am. Chem. Soc. 2012;134(20):8324–8327. doi: 10.1021/ja3009677. [DOI] [PubMed] [Google Scholar]
- 251.Hergueta-Bravo A., et al. Singlet oxygen-mediated DNA photocleavage with Ru (II) polypyridyl complexes. J. Phys. Chem. B. 2002;106(15):4010–4017. [Google Scholar]
- 252.Jaouen G., Vessieres A., Top S. Ferrocifen type anti cancer drugs. Chem. Soc. Rev. 2015;44(24):8802–8817. doi: 10.1039/c5cs00486a. [DOI] [PubMed] [Google Scholar]
- 253.Berners-Price S.J., Filipovska A. Gold compounds as therapeutic agents for human diseases. Metallomics. 2011;3(9):863–873. doi: 10.1039/c1mt00062d. [DOI] [PubMed] [Google Scholar]
- 254.De Gregorio V., et al. Insight on cytotoxic NHC gold (I) halide complexes evaluated in multifaceted culture systems. Current Research in Toxicology. 2024;6 doi: 10.1016/j.crtox.2024.100174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 255.Zou T., et al. Chemical biology of anticancer gold(III) and gold(I) complexes. Chem. Soc. Rev. 2015;44(24):8786–8801. doi: 10.1039/c5cs00132c. [DOI] [PubMed] [Google Scholar]
- 256.Hickey J.L., et al. Mitochondria-targeted chemotherapeutics: the rational design of gold (I) N-heterocyclic carbene complexes that are selectively toxic to cancer cells and target protein selenols in preference to thiols. J. Am. Chem. Soc. 2008;130(38):12570–12571. doi: 10.1021/ja804027j. [DOI] [PubMed] [Google Scholar]
- 257.Zhang X., et al. Repurposing of auranofin: thioredoxin reductase remains a primary target of the drug. Biochimie. 2019;162:46–54. doi: 10.1016/j.biochi.2019.03.015. [DOI] [PubMed] [Google Scholar]
- 258.Singh D., et al. Lanthanide (Ln3+) complexes of bifunctional chelate: synthesis, physicochemical study and interaction with human serum albumin (HSA) Spectrochim. Acta Mol. Biomol. Spectrosc. 2021;244 doi: 10.1016/j.saa.2020.118808. [DOI] [PubMed] [Google Scholar]
- 259.Bunzli J.C. Lanthanide luminescence for biomedical analyses and imaging. Chem. Rev. 2010;110(5):2729–2755. doi: 10.1021/cr900362e. [DOI] [PubMed] [Google Scholar]
- 260.Li H., et al. Lanthanide-doped upconversion nanoparticles as nanoprobes for bioimaging. Biomater. Sci. 2024;12(18):4650–4663. doi: 10.1039/d4bm00774c. [DOI] [PubMed] [Google Scholar]
- 261.Cheng L., Wang C., Liu Z. Upconversion nanoparticles and their composite nanostructures for biomedical imaging and cancer therapy. Nanoscale. 2013;5(1):23–37. doi: 10.1039/c2nr32311g. [DOI] [PubMed] [Google Scholar]
- 262.Jiang D., et al. Nanozyme: new horizons for responsive biomedical applications. Chem. Soc. Rev. 2019;48(14):3683–3704. doi: 10.1039/c8cs00718g. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 263.Huang Y., Ren J., Qu X. Nanozymes: classification, catalytic mechanisms, activity regulation, and applications. Chem. Rev. 2019;119(6):4357–4412. doi: 10.1021/acs.chemrev.8b00672. [DOI] [PubMed] [Google Scholar]
- 264.Tang Z., et al. Chemodynamic therapy: tumour microenvironment-mediated fenton and fenton-like reactions. Angew Chem. Int. Ed. Engl. 2019;58(4):946–956. doi: 10.1002/anie.201805664. [DOI] [PubMed] [Google Scholar]
- 265.Liu Z.J., et al. Harnessing carbon nanomaterials for reactive oxygen species regulation: insights into generation, scavenging, and sensing. Adv. Drug Deliv. Rev. 2025 doi: 10.1016/j.addr.2025.115651. [DOI] [PubMed] [Google Scholar]
- 266.Liu J., et al. Functionalization and cancer-targeting design of ruthenium complexes for precise cancer therapy. Chem. Commun. 2019;55(67):9904–9914. doi: 10.1039/c9cc04098f. [DOI] [PubMed] [Google Scholar]
- 267.Machado J.F., Correia J.D.G., Morais T.S. Emerging molecular receptors for the specific-target delivery of ruthenium and gold complexes into cancer cells. Molecules. 2021;26(11):3153. doi: 10.3390/molecules26113153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 268.Ji H.B., et al. Fe‐containing metal–organic framework with D‐penicillamine for cancer‐specific hydrogen peroxide generation and enhanced chemodynamic therapy. Bioeng. Transl. Med. 2023;8(3) doi: 10.1002/btm2.10477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 269.Xing F., et al. Recent advances in metal–organic frameworks for stimuli-responsive drug delivery. Nanoscale. 2024;16(9):4434–4483. doi: 10.1039/d3nr05776c. [DOI] [PubMed] [Google Scholar]
- 270.Yan J., et al. Mineralization of pH-Sensitive doxorubicin prodrug in ZIF-8 to enable targeted delivery to solid tumors. Anal. Chem. 2020;92(16):11453–11461. doi: 10.1021/acs.analchem.0c02599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 271.Liu C., et al. Redox-responsive tumor targeted dual-drug loaded biocompatible metal–organic frameworks nanoparticles for enhancing anticancer effects. BMC Materials. 2020;2(1):7. [Google Scholar]
- 272.Li J., et al. Construction and characterization of magnetic cascade metal-organic framework/enzyme hybrid nanoreactors with enhanced effect on killing cancer cells. Colloids Surf. A Physicochem. Eng. Asp. 2020;601 [Google Scholar]
- 273.Awasthi G., et al. Progressive trends on the biomedical applications of metal organic frameworks. Polymers. 2022;14(21):4710. doi: 10.3390/polym14214710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 274.Barclay T.G., Constantopoulos K., Matisons J. Nanotubes self-assembled from amphiphilic molecules via helical intermediates. Chem. Rev. 2014;114(20):10217–10291. doi: 10.1021/cr400085m. [DOI] [PubMed] [Google Scholar]
- 275.Yavvari P.S., et al. Injectable, self-healing chimeric Catechol-Fe(III) Hydrogel for localized combination cancer therapy. ACS Biomater. Sci. Eng. 2017;3(12):3404–3413. doi: 10.1021/acsbiomaterials.7b00741. [DOI] [PubMed] [Google Scholar]
- 276.Guo Z., et al. Fe 3+-induced oxidation and coordination cross-linking in catechol–chitosan hydrogels under acidic pH conditions. RSC Adv. 2015;5(47):37377–37384. [Google Scholar]
- 277.Lai J.-C., et al. A rigid and healable polymer cross-linked by weak but abundant Zn(II)-carboxylate interactions. Nat. Commun. 2018;9(1):2725. doi: 10.1038/s41467-018-05285-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 278.Qu Z., et al. Myeloid zinc finger 1 knockdown promotes osteoclastogenesis and bone loss in part by regulating RANKL-induced ferroptosis of osteoclasts through Nrf2/GPX4 signaling pathway. J. Leukoc. Biol. 2024;115(5):946–957. doi: 10.1093/jleuko/qiae011. [DOI] [PubMed] [Google Scholar]
- 279.Nakamura A., et al. Zinc deficiency affects insulin secretion and alters insulin-regulated metabolic signaling in rats. J. Trace Elem. Med. Biol. 2024;83 doi: 10.1016/j.jtemb.2023.127375. [DOI] [PubMed] [Google Scholar]
- 280.Ahmadi M., et al. pH-responsive gelation in metallo-supramolecular polymers based on the protic pyridinedicarboxamide ligand. Chem. Mater. 2022;34(13):6155–6169. [Google Scholar]
- 281.Xue Y., et al. Stimuli-triggered dynamic transformations in supramolecular polymers. Chem. Mater. 2024;36(13):6347–6369. [Google Scholar]
- 282.Makarova A.O., et al. Ion-induced polysaccharide gelation: peculiarities of alginate egg-box association with different divalent cations. Polymers. 2023;15(5):1243. doi: 10.3390/polym15051243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 283.Wang Y., et al. Progress in research on metal ion crosslinking alginate-based gels. Gels. 2024;11(1):16. doi: 10.3390/gels11010016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 284.Ma M.T., et al. Gallium-68 complex of a macrobicyclic cage amine chelator tethered to two integrin-targeting peptides for diagnostic tumor imaging. Bioconjug. Chem. 2011;22(10):2093–2103. doi: 10.1021/bc200319q. [DOI] [PubMed] [Google Scholar]
- 285.Huang Z., et al. Tris-nitrilotriacetic acids of subnanomolar affinity toward hexahistidine tagged molecules. Bioconjug. Chem. 2009;20(8):1667–1672. doi: 10.1021/bc900309n. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 286.Khoshnejad M., et al. Ferritin-based drug delivery systems: hybrid nanocarriers for vascular immunotargeting. J. Contr. Release. 2018;282:13–24. doi: 10.1016/j.jconrel.2018.02.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 287.Sutak R., et al. Human mitochondrial ferritin improves respiratory function in yeast mutants deficient in iron-sulfur cluster biogenesis, but is not a functional homologue of yeast frataxin. Microbiologyopen. 2012;1(2):95–104. doi: 10.1002/mbo3.18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 288.Qiu F., et al. [(68)Ga]Ga-DOTA-CEND1: a novel PET cyclic peptide tracer for noninvasive imaging of Neuropilin-1 expression in pan-tumors. Mol. Pharm. 2025;23(1):361–372. doi: 10.1021/acs.molpharmaceut.5c01160. [DOI] [PubMed] [Google Scholar]
- 289.Lee K.Y., Mooney D.J. Alginate: properties and biomedical applications. Prog. Polym. Sci. 2012;37(1):106–126. doi: 10.1016/j.progpolymsci.2011.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 290.Jongprasitkul H., et al. A comprehensive study on rheological properties of photocrosslinkable gallol-metal complexed hyaluronic acid-based biomaterial inks. Mater. Adv. 2024;5(14):5823–5837. [Google Scholar]
- 291.Lee H., et al. Coordination geometry tuning in a single-atom nanozyme to mimic metalloenzymes with nonplanar active site. Adv. Sci. (Weinh.) 2025;12(34) doi: 10.1002/advs.202505733. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 292.Sooriyaarachchi M., Gailer J. Removal of Fe3+ and Zn2+ from plasma metalloproteins by iron chelating therapeutics depicted with SEC-ICP-AES. Dalton Trans. 2010;39(32):7466–7473. doi: 10.1039/c0dt00229a. [DOI] [PubMed] [Google Scholar]
- 293.Dong H., et al. Depletable peroxidase-like activity of Fe3O4 nanozymes accompanied with separate migration of electrons and iron ions. Nat. Commun. 2022;13(1):5365. doi: 10.1038/s41467-022-33098-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 294.Gao R., et al. Synergistic enhancement of therapeutic efficacy in acute myocardial infarction via nanoflower-like Mn(3)O(4) nanozymes in coordination with adipose-derived stem cell transplantation. Int. J. Nanomed. 2025;20:2073–2086. doi: 10.2147/IJN.S483980. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 295.Niu X., et al. Nanozymes with multiple activities: prospects in analytical sensing. Biosensors (Basel) 2022;12(4) doi: 10.3390/bios12040251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 296.Natarajan G., et al. Nanoformulated copper/zinc superoxide dismutase exerts differential effects on glucose vs lipid homeostasis depending on the diet composition possibly via altered AMPK signaling. Transl. Res. 2017;188:10–26. doi: 10.1016/j.trsl.2017.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 297.Zhang R., et al. Nanozymes expanding the boundaries of biocatalysis. Nat. Commun. 2025;16(1):6817. doi: 10.1038/s41467-025-62063-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 298.Wei S., et al. Atom-pair engineering of single-atom nanozyme for boosting peroxidase-like activity. Nat. Commun. 2024;15(1):6888. doi: 10.1038/s41467-024-51022-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 299.Kumbul Y.C., Naziroglu M. Paclitaxel promotes oxidative stress-mediated human laryngeal squamous tumor cell death through the stimulation of calcium and zinc signaling pathways: no synergic action of melatonin. Biol. Trace Elem. Res. 2022;200(5):2084–2098. doi: 10.1007/s12011-022-03125-6. [DOI] [PubMed] [Google Scholar]
- 300.Wu J., et al. Enhancing radiation-resistance and peroxidase-like activity of single-atom copper nanozyme via local coordination manipulation. Nat. Commun. 2024;15(1):6174. doi: 10.1038/s41467-024-50416-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 301.Smith M.J., et al. Redox and metal profiles in human coronary endothelial and smooth muscle cells under hyperoxia, physiological normoxia and hypoxia: effects of NRF2 signaling on intracellular zinc. Redox Biol. 2023;62 doi: 10.1016/j.redox.2023.102712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 302.Magerand R., et al. Redox signaling through zinc activates the radiation response in Deinococcus bacteria. Sci. Rep. 2021;11(1):4528. doi: 10.1038/s41598-021-84026-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 303.Hubner C., Haase H. Interactions of zinc- and redox-signaling pathways. Redox Biol. 2021;41 doi: 10.1016/j.redox.2021.101916. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 304.Zhang H., et al. Self-supply oxygen ROS reactor via fenton-like reaction and modulating glutathione for amplified cancer therapy effect. Nanomaterials. 2022;12(14):2509. doi: 10.3390/nano12142509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 305.Huo M., et al. Tumor-selective catalytic nanomedicine by nanocatalyst delivery. Nat. Commun. 2017;8(1):357. doi: 10.1038/s41467-017-00424-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 306.Zhang X., et al. Supramolecular polymers for drug delivery. Chem.--Eur. J. 2025;31(17) doi: 10.1002/chem.202404617. [DOI] [PubMed] [Google Scholar]
- 307.Han Y., Xie N., Zhou W. Copper coordination‐based nanomedicine for tumor theranostics. Adv. Therapeut. 2024;7(2) [Google Scholar]
- 308.Clough T.J., et al. Ligand design strategies to increase stability of gadolinium-based magnetic resonance imaging contrast agents. Nat. Commun. 2019;10(1):1420. doi: 10.1038/s41467-019-09342-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 309.Palagi L., et al. Molecular and supramolecular routes to enhance Gadolinium-based contrast agents relaxivity: how far are we from the theoretical optimal value? Eur. J. Med. Chem. 2025 doi: 10.1016/j.ejmech.2025.117668. [DOI] [PubMed] [Google Scholar]
- 310.Zhang J., et al. Design and synthesis of chiral DOTA-based MRI contrast agents with remarkable relaxivities. Commun. Chem. 2023;6(1):251. doi: 10.1038/s42004-023-01050-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 311.Wang R., et al. A class of water-soluble Fe(iii) coordination complexes as T1-weighted MRI contrast agents. J. Mater. Chem. B. 2021;9(7):1787–1791. doi: 10.1039/d0tb02716b. [DOI] [PubMed] [Google Scholar]
- 312.Muthukottiappan P., Bonini S., Winter D. Lysosome enrichment using superparamagnetic iron oxide nanoparticles (SPIONs) Methods Mol. Biol. 2026;2976:73–84. doi: 10.1007/978-1-0716-4844-5_7. [DOI] [PubMed] [Google Scholar]
- 313.El-Makaty F.M., et al. Evaluating the ecotoxicity of polymer-coated SPIONs for scale inhibition using a zebrafish embryo model. Colloids Surf. B Biointerfaces. 2026;258 doi: 10.1016/j.colsurfb.2025.115215. [DOI] [PubMed] [Google Scholar]
- 314.Banerjee S.R., et al. (6)(4)Cu-labeled inhibitors of prostate-specific membrane antigen for PET imaging of prostate cancer. J. Med. Chem. 2014;57(6):2657–2669. doi: 10.1021/jm401921j. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 315.Garrison J.C., et al. In vivo evaluation and small-animal PET/CT of a prostate cancer mouse model using 64Cu bombesin analogs: side-by-side comparison of the CB-TE2A and DOTA chelation systems. J. Nucl. Med. 2007;48(8):1327–1337. doi: 10.2967/jnumed.107.039487. [DOI] [PubMed] [Google Scholar]
- 316.N'Guessan E., et al. Side by side comparison of NOTA and DOTA for conjugation efficiency, gallium-68 labeling, and in vivo biodistribution of anti-mesothelin sdAb A1-His. EJNMMI Radiopharm Chem. 2025;10(1):54. doi: 10.1186/s41181-025-00380-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 317.Li K., Liu B. Polymer-encapsulated organic nanoparticles for fluorescence and photoacoustic imaging. Chem. Soc. Rev. 2014;43(18):6570–6597. doi: 10.1039/c4cs00014e. [DOI] [PubMed] [Google Scholar]
- 318.Wang Y., et al. Visualization of fluoride ions in vivo using a Gadolinium(III)-Coumarin complex-based Fluorescence/MRI dual-modal probe. Sensors (Basel) 2016;16(12) doi: 10.3390/s16122165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 319.Boros E., Packard A.B. Radioactive transition metals for imaging and therapy. Chem. Rev. 2019;119(2):870–901. doi: 10.1021/acs.chemrev.8b00281. [DOI] [PubMed] [Google Scholar]
- 320.Chen G., et al. Nanochemistry and nanomedicine for nanoparticle-based diagnostics and therapy. Chem. Rev. 2016;116(5):2826–2885. doi: 10.1021/acs.chemrev.5b00148. [DOI] [PubMed] [Google Scholar]
- 321.Clough T.J., et al. Ligand design strategies to increase stability of gadolinium-based magnetic resonance imaging contrast agents. Nat. Commun. 2019;10(1):1420. doi: 10.1038/s41467-019-09342-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 322.Deri M.A., et al. p-SCN-Bn-HOPO: a superior bifunctional chelator for (89)Zr ImmunoPET. Bioconjug. Chem. 2015;26(12):2579–2591. doi: 10.1021/acs.bioconjchem.5b00572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 323.Price E.W., Orvig C. Matching chelators to radiometals for radiopharmaceuticals. Chem. Soc. Rev. 2014;43(1):260–290. doi: 10.1039/c3cs60304k. [DOI] [PubMed] [Google Scholar]
- 324.Cedervall T., et al. Understanding the nanoparticle-protein corona using methods to quantify exchange rates and affinities of proteins for nanoparticles. Proc. Natl. Acad. Sci. U. S. A. 2007;104(7):2050–2055. doi: 10.1073/pnas.0608582104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 325.Akhter M.H., et al. Impact of protein Corona on the biological identity of nanomedicine: understanding the fate of nanomaterials in the biological milieu. Biomedicines. 2021;9(10) doi: 10.3390/biomedicines9101496. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 326.Ahsan S.M., Rao C.M., Ahmad M.F. Nanoparticle-Protein interaction: the significance and role of protein Corona. Adv. Exp. Med. Biol. 2018;1048:175–198. doi: 10.1007/978-3-319-72041-8_11. [DOI] [PubMed] [Google Scholar]
- 327.Saptarshi S.R., Duschl A., Lopata A.L. Interaction of nanoparticles with proteins: relation to bio-reactivity of the nanoparticle. J. Nanobiotechnol. 2013;11:26. doi: 10.1186/1477-3155-11-26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 328.Vinluan R.D., 3rd, Zheng J. Serum protein adsorption and excretion pathways of metal nanoparticles. Nanomedicine (Lond) 2015;10(17):2781–2794. doi: 10.2217/nnm.15.97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 329.Tuschl K., Mills P.B., Clayton P.T. Manganese and the brain. Int. Rev. Neurobiol. 2013;110:277–312. doi: 10.1016/B978-0-12-410502-7.00013-2. [DOI] [PubMed] [Google Scholar]
- 330.Avila-Rodriguez M.A., et al. Biodistribution and radiation dosimetry of [(64)Cu]copper dichloride: first-in-human study in healthy volunteers. EJNMMI Res. 2017;7(1):98. doi: 10.1186/s13550-017-0346-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 331.Domingo J.L., Semelka R.C. Gadolinium toxicity: mechanisms, clinical manifestations, and nanoparticle role. Arch. Toxicol. 2025;99(10):3897–3916. doi: 10.1007/s00204-025-04124-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 332.Jynge P., et al. MnDPDP: contrast agent for imaging and protection of viable tissue. Contrast Media Mol. Imaging. 2020;2020 doi: 10.1155/2020/3262835. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 333.Spath N.B., et al. Manganese-Enhanced T(1) mapping in the myocardium of normal and infarcted hearts. Contrast Media Mol. Imaging. 2018;2018 doi: 10.1155/2018/9641527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 334.Dash R., et al. Dual manganese-enhanced and delayed gadolinium-enhanced MRI detects myocardial border zone injury in a pig ischemia-reperfusion model. Circ., Cardiovasc. Imaging. 2011;4(5):574–582. doi: 10.1161/CIRCIMAGING.110.960591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 335.Adams L.C., et al. Ferumoxytol-Enhanced MRI in children and young adults: state of the art. AJR Am. J. Roentgenol. 2023;220(4):590–603. doi: 10.2214/AJR.22.28453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 336.Karlsson J.O.G., Jynge P., Ignarro L.J. The damaging outcome of the POLAR phase III trials was due to avoidable time-dependent redox interaction between Oxaliplatin and PledOx. Antioxidants. 2021;10(12) doi: 10.3390/antiox10121937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 337.Karlsson J.O.G., Jynge P., Ignarro L.J. Exacerbated neuropathy in POLAR A and M trials due to redox interaction of PledOx-Associated Mn(2+) and Oxaliplatin-Associated Pt(2) Antioxidants. 2023;12(3) doi: 10.3390/antiox12030608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 338.Kelland L.R. New platinum antitumor complexes. Crit. Rev. Oncol. Hematol. 1993;15(3):191–219. doi: 10.1016/1040-8428(93)90042-3. [DOI] [PubMed] [Google Scholar]
- 339.Scott L.J. Gadobutrol: a review in contrast-enhanced MRI and MRA. Clin Drug Investig. 2018;38(8):773–784. doi: 10.1007/s40261-018-0674-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 340.Tonon G., et al. Antibody drug conjugates for cancer therapy: from metallodrugs to nature-inspired payloads. Int. J. Mol. Sci. 2024;25(16) doi: 10.3390/ijms25168651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 341.Casini A., Pöthig A. Metals in cancer research: beyond platinum metallodrugs. ACS Cent. Sci. 2024;10(2):242–250. doi: 10.1021/acscentsci.3c01340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 342.Tsitovich P.B., et al. Redox-activated MRI contrast agents based on lanthanide and transition metal ions. J. Inorg. Biochem. 2014;133:143–154. doi: 10.1016/j.jinorgbio.2014.01.016. [DOI] [PubMed] [Google Scholar]
- 343.Do Q.N., et al. Redox- and hypoxia-responsive MRI contrast agents. ChemMedChem. 2014;9(6):1116–1129. doi: 10.1002/cmdc.201402034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 344.Avila D.S., Puntel R.L., Aschner M. Manganese in health and disease. Met Ions Life Sci. 2013;13:199–227. doi: 10.1007/978-94-007-7500-8_7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 345.Jungwirth U., et al. Anticancer activity of metal complexes: involvement of redox processes. Antioxid. Redox Signaling. 2011;15(4):1085–1127. doi: 10.1089/ars.2010.3663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 346.Yu M., et al. Biodistribution of [64Cu]Cu2+ and variance of metallothionein during tumor treatment by copper. Nucl. Med. Biol. 1998;25(2):111–116. doi: 10.1016/s0969-8051(97)00169-8. [DOI] [PubMed] [Google Scholar]
- 347.Ngo W., et al. Why nanoparticles prefer liver macrophage cell uptake in vivo. Adv. Drug Deliv. Rev. 2022;185 doi: 10.1016/j.addr.2022.114238. [DOI] [PubMed] [Google Scholar]
- 348.Briley-Saebo K., et al. Hepatic cellular distribution and degradation of iron oxide nanoparticles following single intravenous injection in rats: implications for magnetic resonance imaging. Cell Tissue Res. 2004;316(3):315–323. doi: 10.1007/s00441-004-0884-8. [DOI] [PubMed] [Google Scholar]
- 349.Chen P., Miah M.R., Aschner M. Metals and neurodegeneration. F1000Res. 2016;5 doi: 10.12688/f1000research.7431.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 350.Tolbatov I., et al. Computational studies of Au(I) and Au(III) Anticancer MetalLodrugs: a Survey. Molecules. 2021;26(24) doi: 10.3390/molecules26247600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 351.Göller A.H., et al. 2021. Machine Learning Applied to the Modeling of Pharmacological and ADMET Endpoints. [DOI] [PubMed] [Google Scholar]
- 352.Pal R., Patra S.G., Chattaraj P.K. 2022. Quantitative Structure-Toxicity Relationship in Bioactive Molecules from a Conceptual DFT Perspective. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 353.Runge V.M. Critical questions regarding gadolinium deposition in the brain and body after injections of the gadolinium-based contrast agents, safety, and clinical recommendations in consideration of the ema's Pharmacovigilance and Risk Assessment committee recommendation for suspension of the marketing authorizations for 4 linear agents. Investig. Radiol. 2017;52(6):317–323. doi: 10.1097/RLI.0000000000000374. [DOI] [PubMed] [Google Scholar]
- 354.Soldevila-Barreda J.J., Metzler-Nolte N. Intracellular catalysis with selected metal complexes and metallic nanoparticles: advances toward the development of catalytic metallodrugs. Chem. Rev. 2019;119(2):829–869. doi: 10.1021/acs.chemrev.8b00493. [DOI] [PubMed] [Google Scholar]
- 355.Nandy A., et al. Computational discovery of transition-metal complexes: from high-throughput screening to machine learning. Chem. Rev. 2021;121(16):9927–10000. doi: 10.1021/acs.chemrev.1c00347. [DOI] [PubMed] [Google Scholar]
- 356.Zhang J., et al. H-ferritin-nanocaged gadolinium nanoparticles for ultra-sensitive MR molecular imaging. Theranostics. 2024;14(5):1956–1965. doi: 10.7150/thno.93856. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 357.Kumar A., Sharma B., Lim S. Protein cage relaxivity measurement for magnetic resonance imaging contrast agents. Methods Mol. Biol. 2023;2671:349–360. doi: 10.1007/978-1-0716-3222-2_20. [DOI] [PubMed] [Google Scholar]
- 358.Sun W., et al. Multienzymatic hybrid metalloenzymes triggering Cascade reactions-regulated tumor redox homeostasis and immunosuppressive microenvironment for catalytic immunotherapy. ACS Nano. 2025;19(26):24034–24051. doi: 10.1021/acsnano.5c06592. [DOI] [PubMed] [Google Scholar]
- 359.Gao L., et al. An artificial metalloenzyme for catalytic cancer-specific DNA cleavage and operando imaging. Sci. Adv. 2020;6(29):eabb1421. doi: 10.1126/sciadv.abb1421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 360.Teplensky M.H., et al. Temperature treatment of highly porous zirconium-containing metal-organic frameworks extends drug delivery release. J. Am. Chem. Soc. 2017;139(22):7522–7532. doi: 10.1021/jacs.7b01451. [DOI] [PubMed] [Google Scholar]
- 361.Feng S., et al. Current landscape of metal-organic framework-mediated nucleic acid delivery and therapeutics. Int. J. Pharm. 2025;672 doi: 10.1016/j.ijpharm.2025.125295. [DOI] [PubMed] [Google Scholar]
- 362.Zhao H., et al. Dual roles of metal-organic frameworks as nanocarriers for miRNA delivery and adjuvants for chemodynamic therapy. ACS Appl. Mater. Interfaces. 2021;13(5):6034–6042. doi: 10.1021/acsami.0c21006. [DOI] [PubMed] [Google Scholar]
- 363.Leung C.H., et al. Metal complexes as potential modulators of inflammatory and autoimmune responses. Chem. Sci. 2015;6(2):871–884. doi: 10.1039/c4sc03094j. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 364.Batinić-Haberle I., Rebouças J.S., Spasojević I. Superoxide dismutase mimics: chemistry, pharmacology, and therapeutic potential. Antioxid. Redox Signaling. 2010;13(6):877–918. doi: 10.1089/ars.2009.2876. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 365.Toupin N., et al. Metalloimmunotherapy with rhodium and ruthenium complexes: targeting tumor-associated macrophages. Chemistry. 2022;28(24) doi: 10.1002/chem.202104430. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 366.Li Z.Y., et al. Rising interest in the development of metal complexes in cancer immunotherapy. Chem. Asian J. 2022;17(13) doi: 10.1002/asia.202200270. [DOI] [PubMed] [Google Scholar]
- 367.Marques Neto L.M., Kipnis A., Junqueira-Kipnis A.P. Role of metallic nanoparticles in vaccinology: implications for infectious disease vaccine development. Front. Immunol. 2017;8:239. doi: 10.3389/fimmu.2017.00239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 368.Sun X., et al. Self-Assembled STING-Activating coordination nanoparticles for cancer immunotherapy and vaccine applications. ACS Nano. 2024;18(15):10439–10453. doi: 10.1021/acsnano.3c11374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 369.Del Solar V., Contel M. Metal-based antibody drug conjugates. Potential and challenges in their application as targeted therapies in cancer. J. Inorg. Biochem. 2019;199 doi: 10.1016/j.jinorgbio.2019.110780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 370.Kaya B., et al. Metal-based antibody, nanobody, and peptide conjugates: potential for breast cancer therapy. Pharmacol. Rev. 2025;77(6) doi: 10.1016/j.pharmr.2025.100087. [DOI] [PubMed] [Google Scholar]
- 371.Kim K.B., Kim S.H., Yoo S.M. Recent advances of strategies and applications in aptamer-combined metal nanocluster biosensing systems. Biosensors (Basel) 2024;14(12) doi: 10.3390/bios14120625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 372.Rezki M., Tsujimura S. Hybrid bioelectronic interfaces with supramolecularly immobilized redox mediators for ultra-stable and high-performance enzyme electrodes. ACS Appl. Mater. Interfaces. 2025;17(31):44101–44111. doi: 10.1021/acsami.5c06219. [DOI] [PubMed] [Google Scholar]
- 373.Gordillo M.A., et al. A new electrically conducting metal-organic framework featuring U-Shaped cis-Dipyridyl tetrathiafulvalene ligands. Front. Chem. 2021;9 doi: 10.3389/fchem.2021.726544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 374.Wang Y., et al. Conductive metal-organic framework microelectrodes regulated by conjugated molecular wires for monitoring of dopamine in the mouse brain. J. Am. Chem. Soc. 2023;145(4):2118–2126. doi: 10.1021/jacs.2c07053. [DOI] [PubMed] [Google Scholar]
- 375.Amarsy I., Papot S., Gasser G. Stimuli-Responsive metal complexes for biomedical applications. Angew Chem. Int. Ed. Engl. 2022;61(40) doi: 10.1002/anie.202205900. [DOI] [PubMed] [Google Scholar]
- 376.Zhou Z., Vázquez-González M., Willner I. Stimuli-responsive metal-organic framework nanoparticles for controlled drug delivery and medical applications. Chem. Soc. Rev. 2021;50(7):4541–4563. doi: 10.1039/d0cs01030h. [DOI] [PubMed] [Google Scholar]
- 377.Yang F., et al. Functional integration and synergistic effects of metal-based nanocomplexes in tumor photothermal therapy and bioimaging. Int. J. Pharm. 2025;685 doi: 10.1016/j.ijpharm.2025.126286. [DOI] [PubMed] [Google Scholar]
- 378.Kang Y., et al. Construction of hierarchically biomimetic iron oxide nanosystems for macrophage repolarization-promoted immune checkpoint blockade of cancer immunotherapy. ACS Appl. Mater. Interfaces. 2024;16(28):36131–36141. doi: 10.1021/acsami.4c06415. [DOI] [PubMed] [Google Scholar]
- 379.Li X., et al. Unleashing the potential of metal ions in cGAS-STING activation: advancing nanomaterial-based tumor immunotherapy. ACS Omega. 2025;10(12):11723–11742. doi: 10.1021/acsomega.4c10865. [DOI] [PMC free article] [PubMed] [Google Scholar]
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