Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2022 Dec 2;62(3):e202211704. doi: 10.1002/anie.202211704

Structurally Defined Water‐Soluble Metallofullerene Derivatives towards Biomedical Applications

Yanbang Li 1, Rohin Biswas 1, William P Kopcha 1, Thierry Dubroca 2, Laura Abella 3, Yue Sun 1, Ryan A Crichton 1, Christopher Rathnam 1, Letao Yang 1, Yao‐Wen Yeh 4, Krishnendu Kundu 2, Antonio Rodríguez‐Fortea 3, Josep M Poblet 3, Ki‐Bum Lee 1, Stephen Hill 2,5, Jianyuan Zhang 1,
PMCID: PMC9983306  NIHMSID: NIHMS1849608  PMID: 36349405

Abstract

Endohedral metallofullerenes (EMFs) are excellent carriers of rare‐earth element (REE) ions in biomedical applications because they preclude the release of toxic metal ions. However, existing approaches to synthesize water‐soluble EMF derivatives yield mixtures that inhibit precise drug design. Here we report the synthesis of metallobuckytrio (MBT), a three‐buckyball system, as a modular platform to develop structurally defined water‐soluble EMF derivatives with ligands by choice. Demonstrated with PEG ligands, the resulting water‐soluble MBTs show superb biocompatibility. The Gd MBTs exhibit superior T 1 relaxivity than typical Gd complexes, potentially superseding current clinical MRI contrast agents in both safety and efficiency. The Lu MBTs generated reactive oxygen species upon light irradiation, showing promise as photosensitizers. With their modular nature to incorporate other ligands, we anticipate the MBT platform to open new paths towards bio‐specific REE drugs.

Keywords: Contrast Agents, Endohedral Fullerenes, Rare Earth Compounds, Supramolecular Chemistry, Synthesis Design


A modular metallobuckytrio (MBT) platform provides a family of structurally defined, water‐soluble metallofullerene derivatives that can safely carry rare‐earth elements in tailorable molecules, showing promise in biomedicines including MRI contrast agents and photosensitizers.

graphic file with name ANIE-62-0-g006.jpg

Introduction

Rare‐earth elements (REEs) are valuable components for medicines due to their distinctive properties.[ 1 , 2 , 3 , 4 ] For example, the high Z number of lanthanides makes them great X‐ray contrast agents in computed tomography (CT); their heavy atom effect to facilitate intersystem crossing (ISC) is important for photosensitizers in photodynamic therapy (PDT); the characteristic radioactivity of many REE isotopes (90Y, 177Lu, 166Ho, etc.) is very useful in both diagnostic (e.g. positron emission tomography) and therapeutic (e.g. brachytherapy) applications; the ideal paramagnetism of the Gd3+ ion crowns it the most desirable element for in MRI contrast agents. To realize the potential of REEs in medicine, the first and foremost challenge is to safely confine the toxic metal ions to ensure they do not leak into the physiological environment. The dilemma of gadolinium‐based contrast agents (GBCAs) for MRI [5] is a perfect case in point. Current clinical contrast‐enhanced MRI exams are using GBCAs based on chelating complexes, [6] which have high coordination constants, but the Gd3+ ions can still escape from the chelates under complex conditions. The metal leak caused significant safety concerns, including kidney dysfunction (nephrogenic systemic fibrosis)[ 7 , 8 ] and long‐term Gd3+ deposition in the brain[ 9 , 10 ] which led to the suspension of a few approved GBCAs in Europe. [11] In the past decades, numerous efforts have been devoted to preventing the Gd release in GBCAs.[ 5 , 6 ]

The unique structure of endohedral metallofullerenes (EMFs), [12] i.e., a metal ion or cluster in a carbon cage (Figure 1a), provides the inherent protection of Gd or other REEs in both ways: the preservation of the magnetic properties of ions, and the complete prevention of metal leakage. While the former opens paths to applications such as spin qubits,[ 13 , 14 ] single molecular magnets,[ 15 , 16 , 17 , 18 , 19 , 20 ] and dynamic nuclear polarization, [21] the latter is a critically desired feature for REE biomedicines. Indeed, many water‐soluble Gd EMF derivatives have shown great promise with presumed safety and much higher relaxivity than commercial GBCAs.[ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 ] One fundamental issue, however, arises. To solubilize hydrophobic EMFs in water, extensive surface modification with multiple (≈10–40) hydrophilic groups is required, but existing approaches[ 32 , 33 ] result in mixtures with heterogeneous number and random regiochemistry of the hydrophilic groups (Figure 1b), posing serious challenges in characterization and reproducibility: the mixtures lack a definitive structure to be well‐characterized by NMR or mass‐spectrometry (MS), so X‐ray photoelectron spectroscopy (XPS) and IR assumed the burden as a compromise. Additionally, their hydrogen‐bond‐driven aggregation in solutions[ 24 , 27 , 28 , 29 ] would conceal the functional groups, which hinders the further introduction of biological ligands (marked by low yields [30] ). Meanwhile, the broken π‐conjugation causes the loss of electronic and photophysical properties of the EMF cage, voiding certain potential applications such as photosensitizers. Collectively, these limitations seriously inhibit robust quality control, drug design, and future administrative approval of EMF derivatives for biomedicines. While precise non‐ionic water‐soluble derivatives of fullerene C60 were achieved by multiadditions,[ 34 , 35 ] efficient and precise EMF multiadditions with a large number of functional groups have yet to be developed, although there are promising recent work that added 2–4 functional groups regioselectively.[ 36 , 37 , 38 , 39 ]

Figure 1.

Figure 1

Overview of the MBT design. a) The structure of M3N@C80 used in this work, as an example of EMF. b) Metallofullerenol, a typical example of water‐soluble EMF derivative with hydrophilic groups of uncertain numbers and positions. c) Schematic representation of the MBT design, and its key advantages compared to other water‐soluble EMFs.

In a paradigm shift, here we report a three‐buckyball “metallobuckytrio” (MBT) platform to systematically develop structurally well‐defined water‐soluble EMF derivatives (Figure 1c). The MBT design decouples the functionalization of the EMF and the introducing of solubilizing groups into separate operations. Instead of making multiadducts, monoadducts of EMF are connected to the core of a C60 hexakisadduct [40] that can take 10 other ligands for both aqueous solubility and desired functions. Compared to previously reported water‐soluble EMF derivatives, the MBT design has several advantages: 1) it is molecularly precise, with no batch‐to‐batch variations; 2) it retains the conjugated structure of the EMF cage, bringing its electronic and photophysical properties to the aqueous phase; 3) it is modular to take 10 functional ligands, opening vast design space. We demonstrate the synthetic platform with oligo‐ and polyethylene glycol (PEG) ligands. In vitro studies on the resulting water‐soluble MBTs also affirm their excellent biocompatibility in three representative cell lines. The Gd MBTs show significantly higher T 1 relaxivity values than commercial MRI contrast agents. Moreover, with retained conjugated EMF cage MBTs generated Type I and Type II reactive oxygen species (ROS) under light irradiation. With the proof‐of‐concept work, we envision the MBTs becoming a general interface for organic and biological operations on sealed REEs in water with ligands of choice.

Results and Discussion

Synthesis and Characterization of the MBT Platform

As shown in Scheme 1, the basic MBT structure is formed by connecting two key building blocks: a C60 hexakisadduct and two molecules of EMF monoadducts. Hexakis‐addition of C60 via the Bingel‐Hirsch reaction provides excellent isomerically pure scaffolds for molecular materials construction.[ 35 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 ] In our work, C60 was reacted with 1 eq of malonate 1 to afford 2, which was purified and then directly used in the reaction with a large excess of malonate 3 to afford the C60 hexakisadduct 4 (characterizations in Figures S1–S4). Meanwhile, EMFs M3N@C80 (M=Lu, Gd) reacted with 5 (synthesis in SI, characterization of precursors in Figures S5–S18) in a well‐established diazo addition to yield monoadducts 6ae with [6,6]‐open structures,[ 50 , 51 ] which were purified by flash chromatography, and characterized by high‐performance liquid chromatography (HPLC), matrix‐assisted laser desorption ionization time‐of‐flight (MALDI‐TOF) MS, and UV/Vis spectroscopy, as well as 1H, 13C, distortionless enhancement by polarization transfer (DEPT) −135 13C, and heteronuclear multiple quantum coherence (HMQC) NMR for diamagnetic Lu EMF derivatives 6ac (Figures S19–S47). For Gd3N@C80 derivatives 6de, in which the paramagnetic Gd3+ prevented meaningful NMR study, MALDI‐TOF confirmed the molecular mass, and the HPLC and UV/Vis results were carefully compared to the Lu counterparts, as well as literature reporting other [6,6]‐open M3N@C80 derivatives to check the structure.[ 50 , 51 , 52 ] Finally, 4 and 6 were mixed in 1 : 3 ratio under customized CuAAC conditions to form MBTs platforms 7. Notably, in the whole synthetic route, we were able to use exclusively flash chromatography purifications, which is a scalable and universal approach that allows researchers to reproduce our synthesis without specialized HPLC columns.

Scheme 1.

Scheme 1

Synthesis of the MBT Platform 7. Reagents and conditions: (i) C60, CBr4, DBU, toluene, r. t.; (ii) CBr4, DBU, toluene, r. t.; (iii) NaOMe, Pyridine, o‐DCB, r. t. to 70 °C (for 6ac) or 55 °C (for 6de); (iv) CuBr⋅SMe2, sodium ascorbate, Cu0, o‐DCB, r. t. (for 7a) or 40 °C (for 7be).

Precedents of linking EMF and C60 are rare,[ 53 , 54 ] and due to the challenge in the synthesis and purification, some key characterizations such as 13C NMR were not achieved for the EMF‐C60 conjugates in the earlier work. The MBT platforms were extensively characterized by MALDI‐TOF MS, UV/Vis spectra, and various NMR approaches (for diamagnetic 7ac), including 1H, 13C, DEPT‐135 13C, and HMQC spectra (Figure S48–73). Despite the large size and proneness to fragmentation, molecular ion peaks for 7ae were all observed in MALDI‐TOF (Figure 2a–b, Figures S48, S62, S69), which provides solid initial evidence of the structures. Meanwhile, the UV/Vis spectra of 7ae (S49, S56, S63, S70, S73) overlapped in extinction peak positions (Figure 2c), which supports that, as expected, all MBTs 7ae share the same conjugated aromatic structure (highlighted in red in Figure 2c). This observation allowed us to focus on the structural elucidation of the 3 diamagnetic Lu MBTs as structural probes with NMR. Peaks were assigned in the 1H NMR of 7ac (Figures S50, S57, S64), and the integrations of four characteristic protons (A–D in Figure 2d) signals, namely, proton A from the triazole ring, protons B and C from the phenyl ring, and proton(s) D from the hydrogen (7a) or methyl group (7b, c) attached to the geminal bridgehead carbon adjacent to the C80 cage, were closely examined. The results showed the A/B/C/D integrations of 2/4/4/2 for 7a, and 2/4/4/6 for 7b and 7c, while the TMS peaks at 0.17–0.20 ppm showed combined integrations of ≈90 protons in all, which are consistent with the drawn MBT structures.

Figure 2.

Figure 2

Characterization of MBTs 7. a, b) MALDI‐TOF MS of Lu MBT 7b (a) and Gd MBT 7e (b). The molecular ion peaks corresponding to the most abundant isotope and the overall isotopic distributions matched the calculated results. c) UV/Vis spectra of 7ae. The MBTs have the same extinction peak positions, suggesting that they share the same conjugated aromatic structure, as highlighted in red. d) Selected region in the 1H NMR of 7ac, which shows the ratio of the four characteristic protons A/B/C/D as 2H/4H/4H/2H for 7a, and 2H/4H/4H/6H for 7b, 7c. e) 13C NMR of 7c, with peak assignments.

Further detailed structural evidence is provided by the 13C NMR spectra (Figures 2e, S51, S58, S65). Using 7c as an example, all the carbon nuclei on the functional groups, and the sp 3 carbon nuclei on the fullerene and EMF cages, were assigned as a‐t in Figure 2e based on the DEPT‐13C, HMQC spectra, and the comparison with precursor molecules 4, 6c, and MBTs 7ab. Due to the different regiochemical locations relative to the two EMF functional groups, the sp 3 carbon atoms on the C60 (n0, n1, n2, n2′, n3), as well as the carbon nuclei at the corresponding locations on the ligands, are non‐equivalent to each other. However, with finite instrumental capacity, only some were resolved (l0‐3, m0‐3, n0‐3, s1‐3), while others (o1‐3, p1‐3, q1‐3, r1‐3, t1‐3) showed as one peak. In the same vein, theoretically 7c should have 89 different sp 2 carbon nuclei that do not have hydrogen attachments (78 from the EMF, [50] 2 from the phenyl rings, 1 from the triazole ring, and 8 from the C60 core), while 85 distinct peaks were identified in the region between 120 and 160 ppm, excluding the assigned e and h that have proton attachments. Fully resolving the theoretically 78 peaks on an asymmetric [6,6]‐open C80 cage is ultimately challenging;[ 50 , 55 , 56 , 57 , 58 ] however, the number of 13C NMR signals (85 out of 89) still clearly shows the symmetry of the molecule and corroborates the structural elucidation.

Synthesis and Supramolecular Interactions of the Water‐soluble MBTs

MBT 7 is a versatile platform ready for ligand installation. In this work, we use azido dodecaethylene glycol (PEG12, commercial) and polyethylene glycol (PEG1000) ligands (2 step synthesis in SI, characterization see Figures S74–77) to dissolve them in water. As shown in Scheme 2, N3‐PEG‐OMe ligands were clicked onto MBTs 7be to yield the water‐soluble MBTs 8. All the products were easily purified with straightforward dialysis thanks to the water‐solubility and large molecular weight (>10k) to afford pure products (characterization Figures S78–S97), among which 8b, 8c, 8d, and 8e are the first examples of molecularly precise water‐soluble EMF derivatives, while 8b′, 8d′ are imprecise only because of the slight polydispersity of PEG1000. We do note that the concept of connecting monoadducts of EMF to a larger biocompatible system and therefore achieve water solubility with defined functionalization has been achieved in a “bioshuttle” system, although the metallofullerene samples used therein were mixtures.[ 59 , 60 ] The UV/Vis spectra of the compounds 8 were compared with their precursors and with each other to confirm the intactness of the conjugated backbones (Figures S95–S97). To verify the successful attachment of 10 ligands, peaks in the 1H NMR of the two precise Lu MBTs 8b and 8c were carefully assigned and four characteristic proton signals (labeled in Scheme 2) A0‐3 (from the triazole) B, C (both from the phenyl), D (from the terminal methyl group of the PEG12 chains) were integrated, showing an integration of 12/4/4/30 (Figures S78, S86). The results show that 8b and 8c each have 12 triazole rings from the click reactions (2 from 7b, 7c, 10 from new ligand attachment), and 10 PEG12 chains (30H from terminal methyl groups), which suggest the reactions were complete with 10 ligands. The precarious MS characterization of the water‐soluble MBTs requires carefully striking a balance between low laser power to suppress fragmentation and high gain voltage of the dual‐stage reflector to increase signal strength, which was only accomplished for shorter linker versions 8c and 8e with limited signal‐to‐noise ratio (Figures S85, S91), but nevertheless provide additional solid evidence for the successful introduction of 10 ligands with a defined molecular weight.

Scheme 2.

Scheme 2

Functionalization of MBTs with PEG ligands via CuAAC click chemistry. The products 8 are all water‐soluble.

With the EMF cages in 8 remaining aromatic and hydrophobic, the molecules are amphiphilic, and we hypothesize they will aggregate driven by hydrophobic and/or π‐π interactions. [34] To verify the hypothesis, a drop‐cast sample of 8e was studied with a scanning transmission electron microscope (STEM) with atomic resolution (Figure 3a). The brightness of the Gd atoms (due to high Z‐number) overshadow all lighter atoms, [61] which made Gd practically the only visible elements in the image. However, the positions of Gd atoms are sufficient to reveal the positions of the EMFs. Most molecules exist in large aggregates across the imaging areas, while Figure 3a was captured at the edge of an aggregate to show discrete Gd3N clusters. In pairs of neighboring Gd3N clusters that are in the same focus plane, presumably from the same molecule, the center‐to‐center (N−N) distance (orange line in Figure 3a) was typically ≈1.2 nm, which, after subtracting the cage diameter, translates to an edge‐to‐edge distance of approximately 0.3 nm (Figure 3b), within the effective range for π‐π interactions. This finding suggests the strong intramolecular interaction between the two EMFs outcompetes the entropic punishment from the conformational restriction of the flexible linkers. Of the same nature, intermolecular interactions among EMF cages will provide a strong driving force for aggregation as seen in Figure 3a and, partially depicted in Figure 3c indicating possible positions of the “invisible” buckyballs and ligands. In an aqueous solution, such aggregation would eventually lead to the formation of micelles. Dynamic light scattering (DLS) on 8b, 8b′ and 8c revealed that the MBTs exist in large 150–500 nm micelles in water (Figure 3d), among which 8c (≈250 nm) forms smaller micelles than 8b and 8b′ (≈330 nm) presumably due to the shorter linker between C60 and EMFs that induces higher steric hindrance against EMF interactions.

Figure 3.

Figure 3

Investigation of the aggregation and supramolecular interactions of MBTs 8. a) High‐angle annular dark‐field (HAADF) STEM image of 8e. Gd atoms appear to be the only visible species in the image as their intensities overshadow the light elements in the molecule. b) Schematic representation of one 8e molecule and histogram corresponding to the orange line in a). The N−N distance from two adjacent clusters is ≈1.2 nm, which translates to an EMF cage edge‐to‐edge distance of ≈0.3 nm after subtracting the EMF cage diameter. c) Schematic representation of the area in the blue dotted line in a), exemplifying the possible positions of the C60 core and ligands that are barely visible in the HAADF image. d) DLS spectra of 8b, 8b′ and 8c, 1 μM solution in water. e) “side” and f) “superimposed” views of the most realistic DFT optimized structure obtained for (Lu3N@C80‐CH2)2 dimer. g) optimized structure for the (Lu3N@C80‐CH2)3 trimer.

To better understand the aggregation of these molecules, we used computational approach to analyze the strength of the interactions between nearby EMFs, using a simplified model of a dimer (Lu3N@C80‐CH2)2 where the substituted methano group is replaced by CH2. Geometry optimizations using the PBE functional (computational details in the Supporting Information) for different relative orientations of the two Lu3N@C80‐CH2 units within the dimer show significant interaction energies that range between −10 and −15 kcal mol−1 (Figure S98). A few orientations that present the highest interaction energies in the simplified models are not compatible with the constraints imposed by the actual experimental MBTs where the EMFs are linked to the C60 hexakisadduct. For that reason, we find more likely a relative orientation of the two dimers as the one shown in Figure 3e/f (also Ori7 in Figure S98) with an interaction energy of −12.4 kcal mol−1. In this optimized structure, the shortest C⋅⋅⋅C distance between the two Lu3N@C80‐CH2 cages is 3.26 Å and the N⋅⋅⋅N distance is 11.0 Å, in excellent agreement with experiments. At 3.26 Å, fullerene‐fullerene interactions are far from being negligible. When increasing the shortest C⋅⋅⋅C distance in our model dimer, the interaction energy decreases to a value of −4.3 kcal mol−1 at 6.0 Å (Table S2), which is still significant. We have also estimated the interaction energy for the next step in the aggregation process, i.e., adding a third EMF to the dimer. When the three EMFs are placed in a triangular arrangement with shortest C⋅⋅⋅C distances of 3.35 Å (Figure 3g and Figure S99), the interaction energy increases up to −27 kcal mol−1. By increasing the distance between the EMFs the interaction energy does not decay abruptly (Table S3), similarly to the case of the dimer. Finally, to get more insight into the nature of this interaction, we have compared model systems with (i) different amounts of formal charge transfer keeping the same carbon cage; and (ii) different cage sizes. When comparing (Lu3N@C80‐CH2)2, and the hypothetical (Lu2O@C80‐CH2)2 and empty (C80‐CH2)2, with formal charge transfers of six, four and zero, respectively,[ 12 , 62 , 63 ] the interaction energies decrease from −12.4 to −10.8 and −9.3 kcal mol−1 (Table S4). These results clearly show that the charge transfer from the cluster to the cage enhances the well‐known π‐π interaction between fullerene cages. [64] It is also relevant to remark the effect of the fullerene size. If we compare (C80‐CH2)2 and (C60‐CH2)2 the interaction energy is slightly larger for the cage that allows higher surface contact, i.e. C80, (−9.3 vs −7.1 kcal mol−1, Table S4 and Figure S100). Indeed, the different supramolecular chemistry exhibited by empty fullerenes and EMFs is the basis of the selective encapsulation and purification of EMFs. In this context, the nature of the cluster and the shape of the fullerene are highly relevant.[ 65 , 66 ] In summary, the supramolecular π‐π interactions between Lu3N@C80‐CR2 entities in MBTs are significant and likely the driving force for the observed aggregation, even though hydrophobic interactions may also help.

Biomedical Properties of the Water‐Soluble MBTs

The safety of water‐soluble MBTs was first established. First, we used inductively coupled plasma mass spectrometry (ICP‐MS) with a detection limit <0.1 ppb to confirm the EMF cage confinement of the metal ions (procedure in the Supporting Information). Then their cytotoxicity towards three cell lines, namely, normal cell line NIH‐3T3 from mouse fibroblast, cancer HeLa cells of cervical cancer origin, and stem cell line induced pluripotent stem cell—neural stem cell (iPSC‐NSC),[ 67 , 68 ] were studied using a standard resazurin‐based cell metabolic assay. From these comprehensive cytotoxicity tests, MBTs were found to be generally non‐toxic across the board (Figure 4). The results suggest MBT structures have high biocompatibility and biosafety when used for a variety of applications including in vivo animal imaging studies, common cancer diagnostic applications, or as imaging probes in stem cell research.

Figure 4.

Figure 4

Cell viability tests of MBTs 8b, 8b′ and 8c at concentrations of 2–32 μM against NIH‐3T3, HeLa, and iPSC‐NSC cell lines. Error bars indicate standard deviation of individual cell viability data set.

The T 1 relaxivity values of water‐soluble Gd MBTs were tested on 60 MHz (1.4 T) and 300 MHz (7.1 T) NMR spectrometers (Table S1), together with a representative commercial GBCA gadodiamide (i.e., OmniscanTM). At 1.4 T, the more clinically relevant field strength, 8d, 8d′, 8e exhibited r 1 of 60.6, 51.6, and 35.5 mM−1 s−1, respectively, one order of magnitude higher than an r 1 of 4.4 mM−1 s−1 for gadodiamide. The enhanced contrast was directly visualized on a 1.0 T MRI scanner, with 20 μM and 5 μM 8d, 8d′, 8e, and gadodiamide (Figure 5a), and the imaging contrast is consistent with the measured relaxivity values. The preclusion of ion leakage by the robust EMF cage dictates that the real limiting factor of MBT contrast agents is the toxicity of the MBT structure, not individual Gd3+ ions, which means the molecular relaxivity of the MBTs is the more appropriate and relevant parameter for clinical evaluations. Meanwhile, even on a per Gd basis, the MBTs still show significantly higher relaxivity than gadodiamide at 1.4 T, despite the lack of direct hydration of the Gd3+ ion, likely due to the large hydrodynamic size of the aggregates, which increase the rotational correlation time of the contrast agents.[ 24 , 28 , 29 ] The precise design enabled the fundamental understanding extracted from the comparison among 8d, 8d′ and 8e, which suggests the linker lengths between the C60 core and the EMFs are crucial. Within a few ethylene glycol units, longer linkers considerably increase r 1. We rationalize the enhancement with two factors. First, as mentioned above, with longer linkers 8d and 8d′ form larger micelles thanks to the lower steric hindrance. Second, and more importantly, despite the 10 solubilizing ligands at the periphery, these linkers are the direct hydrophilic contributor in the proximity of the Gd EMF cages, making them the main force to attract water molecules near the EMFs for Gd3+‐H2O interaction. On the other hand, the length of the peripheral ligands did not substantially affect the relaxivity based on the comparison between 8d and 8d′, which promises vast freedom to “dial‐in” desirable biochemical ligands (e.g., peptides, aptamers) for targeted GBCAs with little concern for relaxivity loss, within the lower thousand Dalton range. Notably, the MBT system provide important insight of 1H relaxation of Gd3+ ions in a carbon cage without protic functional groups (e.g., −OH, NH2, −COOH) on it, which is also vital for future design of GBCAs based on other precise EMF derivatives (e.g., mono‐, bisadducts) or host–guest systems containing pristine EMFs.

Figure 5.

Figure 5

Potential biomedical applications of the water‐soluble MBTs. a) MR imaging of Gd MBT solutions on a 1.0 T scanner. The measured r 1 values at 1.4 T are written in parentheses under each compound, in the unit of mM−1⋅s−1. b) EPR spectra of the stable spin traps measuring the Type I (left) and Type II (right) ROS generation upon light irradiation of Lu MBTs.

Another key feature of the MBT design distinct from traditional water‐soluble EMF mixtures is the mostly preserved conjugated EMF cage. With safely encapsulated heavy atoms that facilitate ISC, they are very promising photosensitizers. To confirm this, the Lu MBTs 8b, 8b′, 8c solutions were irradiated using a green LED, and the generated ROS were quantitatively converted to stable radicals by spin traps, and quantified with EPR signals, following an established approach. [69] For Type I ROS, i.e., superoxide radical anion O2, spin trap 5‐(diethoxyphosphoryl)‐5‐methyl‐1‐pyrroline‐N‐oxide (DEPMPO) was used with NADH, diethylenetriaminepentaacetic acid, and L‐histidine, which is a known singlet oxygen blocker [70] to correct for indirectly generated superoxide anion from singlet oxygen. For Type II ROS, i.e., singlet oxygen, spin trap 2,2,6,6‐tetramethyl‐4‐piperidone (4‐oxo‐TEMP) was used. As shown in Figure 5b, all MBTs showed a strong preference for the Type I pathway (≈70–90 % spin counts). Meanwhile, 8b showed highest overall ROS (Type I+Type II) generation, while its paramagnetic counterpart 8d has the highest relaxivity. These results indicate that the factor that is important for relaxivity, i.e., accessibility of water (containing O2), is likely also a critical factor in ROS generation, although the influence is not as direct as in the case of 1H relaxivity. Remarkably, a recent study showing that lack of water access contributed to an ultra‐long‐lived triplet state from a C60 hexakisadduct based giant molecule, [49] confirming that the photoreaction pathways and ROS generation can be tuned by the linker between the EMF and C60 core, and the external ligands. More photophysical behavior of the MBT series, and their utility in PDT are currently being investigated.

Conclusion

We have established the MBT platform that enabled the development of a series of structurally defined water‐soluble EMF derivatives. As revealed by both experimental and computational studies, the resulting water‐soluble MBTs form large aggregates with strong π‐π interactions among EMF cages. The MBTs have definitive metal seal and excellent biocompatibility. The Gd MBTs are efficient MRI contrast agents with higher T 1 relaxivity and enhanced imaging contrast compared to the well‐established GBCA gadodiamide. The preserved EMF cages in MBTs are capable of ROS generation under light irradiation, which shows promise as photosensitizers for PDT. Both the MRI contrast enhancement and ROS generation show a dependence on the molecular structural parameters, suggesting further optimization for water access can be an important future direction. With the built‐in capacity to take multivalent biological ligands by the user's choice, MBT represents a new strategy towards safe and bio‐specific REE drugs with EMFs.

Conflict of interest

The authors declare no conflict of interest.

1.

Supporting information

As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re‐organized for online delivery, but are not copy‐edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.

Supporting Information

Acknowledgments

We thank the instrumentation support from Professors Gene Hall, Jing Li, Enver Izgu, Dr. Kaixuan Bu, and the helpful discussion with Prof. Phil Batson regarding STEM, and Mr. Derek Adler regarding MR imaging. S.H. and J.Z. would like to acknowledge support from the US Department of Energy (Grant No. DE‐SC0020260). J.Z. would like to acknowledge the Rutgers Busch Biomedical Grant. K.‐B.L. would like to acknowledge the partial support of funding from NSF (No. CHE‐1429062, CBET‐1803517), NIH R21 (No. R21AR071101), NIH R01 (Nos. 1R01DC016612, 3R01DC016612‐01S1, and 5R01DC016612‐02S1), and Rutgers Busch Biomedical Grant. A.R.‐F. and J.M.P. would like to acknowledge the Spanish Ministry of Science and Innovation (grant PID2020‐112762GB‐I00), the Generalitat de Catalunya (grant 2017SGR629) and the URV for support. L.A. thanks Spanish Ministry of Science for a Juan de la Cierva fellowship. Work performed at the NHMFL is supported by the NSF (DMR‐1644779).

Li Y., Biswas R., Kopcha W. P., Dubroca T., Abella L., Sun Y., Crichton R. A., Rathnam C., Yang L., Yeh Y.-W., Kundu K., Rodríguez-Fortea A., Poblet J. M., Lee K.-B., Hill S., Zhang J., Angew. Chem. Int. Ed. 2023, 62, e202211704; Angew. Chem. 2023, 135, e202211704.

Data Availability Statement

The data that support the findings of this study are available in the supplementary material of this article.

References

  • 1. Heffern M. C., Matosziuk L. M., Meade T. J., Chem. Rev. 2014, 114, 4496–4539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Mjos K. D., Orvig C., Chem. Rev. 2014, 114, 4540–4563. [DOI] [PubMed] [Google Scholar]
  • 3. Teo R. D., Termini J., Gray H. B., J. Med. Chem. 2016, 59, 6012–6024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Kostelnik T. I., Orvig C., Chem. Rev. 2019, 119, 902–956. [DOI] [PubMed] [Google Scholar]
  • 5. Li H., Meade T. J., J. Am. Chem. Soc. 2019, 141, 17025–17041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Wahsner J., Gale E. M., Rodríguez-Rodríguez A., Caravan P., Chem. Rev. 2019, 119, 957–1057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Marckmann P., Skov L., Rossen K., Dupont A., Damholt M. B., Heaf J. G., Thomsen H. S., J. Am. Soc. Nephrol. 2006, 17, 2359. [DOI] [PubMed] [Google Scholar]
  • 8. Kuo P. H., Kanal E., Abu-Alfa A. K., Cowper S. E., Radiology 2007, 242, 647–649. [DOI] [PubMed] [Google Scholar]
  • 9. Kanda T., Fukusato T., Matsuda M., Toyoda K., Oba H., Kotoku J., Haruyama T., Kitajima K., Furui S., Radiology 2015, 276, 228–232. [DOI] [PubMed] [Google Scholar]
  • 10. McDonald R. J., McDonald J. S., Kallmes D. F., Jentoft M. E., Murray D. L., Thielen K. R., Williamson E. E., Eckel L. J., Radiology 2015, 275, 772–782. [DOI] [PubMed] [Google Scholar]
  • 11.European Medicine's Agency, 2017. https://www.ema.europa.eu/en/medicines/human/referrals/gadolinium-containing-contrast-agents.
  • 12. Popov A. A., Yang S., Dunsch L., Chem. Rev. 2013, 113, 5989–6113. [DOI] [PubMed] [Google Scholar]
  • 13. Hu Z., Dong B.-W., Liu Z., Liu J.-J., Su J., Yu C., Xiong J., Shi D.-E., Wang Y., Wang B.-W., Ardavan A., Shi Z., Jiang S.-D., Gao S., J. Am. Chem. Soc. 2018, 140, 1123–1130. [DOI] [PubMed] [Google Scholar]
  • 14. Liu Z., Dong B.-W., Meng H.-B., Xu M.-X., Wang T.-S., Wang B.-W., Wang C.-R., Jiang S.-D., Gao S., Chem. Sci. 2018, 9, 457–462. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Liu F., Gao C.-L., Deng Q., Zhu X., Kostanyan A., Westerström R., Wang S., Tan Y.-Z., Tao J., Xie S.-Y., Popov A. A., Greber T., Yang S., J. Am. Chem. Soc. 2016, 138, 14764–14771. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Krylov D. S., Liu F., Avdoshenko S. M., Spree L., Weise B., Waske A., Wolter A. U. B., Büchner B., Popov A. A., Chem. Commun. 2017, 53, 7901–7904. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Liu F., Krylov D. S., Spree L., Avdoshenko S. M., Samoylova N. A., Rosenkranz M., Kostanyan A., Greber T., Wolter A. U. B., Büchner B., Popov A. A., Nat. Commun. 2017, 8, 16098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Velkos G., Krylov D. S., Kirkpatrick K., Spree L., Dubrovin V., Büchner B., Avdoshenko S. M., Bezmelnitsyn V., Davis S., Faust P., Duchamp J., Dorn H. C., Popov A. A., Angew. Chem. Int. Ed. 2019, 58, 5891–5896; [DOI] [PMC free article] [PubMed] [Google Scholar]; Angew. Chem. 2019, 131, 5951–5956. [Google Scholar]
  • 19. Velkos G., Yang W., Yao Y.-R., Sudarkova S. M., Liu X., Büchner B., Avdoshenko S. M., Chen N., Popov A. A., Chem. Sci. 2020, 11, 4766–4772. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Wang Y., Velkos G., Israel N. J., Rosenkranz M., Büchner B., Liu F., Popov A. A., J. Am. Chem. Soc. 2021, 143, 18139–18149. [DOI] [PubMed] [Google Scholar]
  • 21. Wang X., McKay J. E., Lama B., van Tol J., Li T., Kirkpatrick K., Gan Z., Hill S., Long J. R., Dorn H. C., Chem. Commun. 2018, 54, 2425–2428. [DOI] [PubMed] [Google Scholar]
  • 22. Mikawa M., Kato H., Okumura M., Narazaki M., Kanazawa Y., Miwa N., Shinohara H., Bioconjugate Chem. 2001, 12, 510–514. [DOI] [PubMed] [Google Scholar]
  • 23. Bolskar R. D., Benedetto A. F., Husebo L. O., Price R. E., Jackson E. F., Wallace S., Wilson L. J., Alford J. M., J. Am. Chem. Soc. 2003, 125, 5471–5478. [DOI] [PubMed] [Google Scholar]
  • 24. Laus S., Sitharaman B., Tóth É., Bolskar R. D., Helm L., Asokan S., Wong M. S., Wilson L. J., Merbach A. E., J. Am. Chem. Soc. 2005, 127, 9368–9369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Fatouros P. P., Corwin F. D., Chen Z.-J., Broaddus W. C., Tatum J. L., Kettenmann B., Ge Z., Gibson H. W., Russ J. L., Leonard A. P., Duchamp J. C., Dorn H. C., Radiology 2006, 240, 756–764. [DOI] [PubMed] [Google Scholar]
  • 26. Shu C.-Y., Wang C.-R., Zhang J.-F., Gibson H. W., Dorn H. C., Corwin F. D., Fatouros P. P., Dennis T. J. S., Chem. Mater. 2008, 20, 2106–2109. [Google Scholar]
  • 27. Shu C., Corwin F. D., Zhang J., Chen Z., Reid J. E., Sun M., Xu W., Sim J. H., Wang C., Fatouros P. P., Esker A. R., Gibson H. W., Dorn H. C., Bioconjugate Chem. 2009, 20, 1186–1193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Zhang J., Fatouros P. P., Shu C., Reid J., Owens L. S., Cai T., Gibson H. W., Long G. L., Corwin F. D., Chen Z.-J., Dorn H. C., Bioconjugate Chem. 2010, 21, 610–615. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Zhang J., Ye Y., Chen Y., Pregot C., Li T., Balasubramaniam S., Hobart D. B., Zhang Y., Wi S., Davis R. M., Madsen L. A., Morris J. R., LaConte S. M., Yee G. T., Dorn H. C., J. Am. Chem. Soc. 2014, 136, 2630–2636. [DOI] [PubMed] [Google Scholar]
  • 30. Li T., Murphy S., Kiselev B., Bakshi K. S., Zhang J., Eltahir A., Zhang Y., Chen Y., Zhu J., Davis R. M., Madsen L. A., Morris J. R., Karolyi D. R., LaConte S. M., Sheng Z., Dorn H. C., J. Am. Chem. Soc. 2015, 137, 7881–7888. [DOI] [PubMed] [Google Scholar]
  • 31. Li J., Wang T., Feng Y., Zhang Y., Zhen M., Shu C., Jiang L., Wang Y., Wang C., Dalton Trans. 2016, 45, 8696–8699. [DOI] [PubMed] [Google Scholar]
  • 32. Li T., Dorn H. C., Small 2017, 13, 1603152. [DOI] [PubMed] [Google Scholar]
  • 33. Wang T., Wang C., Small 2019, 15, 1901522. [DOI] [PubMed] [Google Scholar]
  • 34. Zhang G., Liu Y., Liang D., Gan L., Li Y., Angew. Chem. Int. Ed. 2010, 49, 5293–5295; [DOI] [PubMed] [Google Scholar]; Angew. Chem. 2010, 122, 5421–5423. [Google Scholar]
  • 35. Nierengarten J.-F., Iehl J., Oerthel V., Holler M., Illescas B. M., Muñoz A., Martín N., Rojo J., Sánchez-Navarro M., Cecioni S., Vidal S., Buffet K., Durka M., Vincent S. P., Chem. Commun. 2010, 46, 3860–3862. [DOI] [PubMed] [Google Scholar]
  • 36. Cerón M. R., Izquierdo M., Garcia-Borràs M., Lee S. S., Stevenson S., Osuna S., Echegoyen L., J. Am. Chem. Soc. 2015, 137, 11775–11782. [DOI] [PubMed] [Google Scholar]
  • 37. Aroua S., Garcia-Borràs M., Bölter M. F., Osuna S., Yamakoshi Y., J. Am. Chem. Soc. 2015, 137, 58–61. [DOI] [PubMed] [Google Scholar]
  • 38. Semivrazhskaya O., Romero-Rivera A., Aroua S., Troyanov S. I., Garcia-Borràs M., Stevenson S., Osuna S., Yamakoshi Y., J. Am. Chem. Soc. 2019, 141, 10988–10993. [DOI] [PubMed] [Google Scholar]
  • 39. Semivrazhskaya O., Aroua S., Yulikov M., Romero-Rivera A., Stevenson S., Garcia-Borràs M., Osuna S., Yamakoshi Y., J. Am. Chem. Soc. 2020, 142, 12954–12965. [DOI] [PubMed] [Google Scholar]
  • 40. Hirsch A., Vostrowsky O., Eur. J. Org. Chem. 2001, 829–848. [Google Scholar]
  • 41. Muñoz A., Sigwalt D., Illescas B. M., Luczkowiak J., Rodríguez-Pérez L., Nierengarten I., Holler M., Remy J.-S., Buffet K., Vincent S. P., Rojo J., Delgado R., Nierengarten J.-F., Martín N., Nat. Chem. 2016, 8, 50–57. [DOI] [PubMed] [Google Scholar]
  • 42. Nierengarten J.-F., Chem. Commun. 2017, 53, 11855–11868. [DOI] [PubMed] [Google Scholar]
  • 43. Hörmann F., Hirsch A., Chem. Eur. J. 2013, 19, 3188–3197. [DOI] [PubMed] [Google Scholar]
  • 44. Ramos-Soriano J., Reina J. J., Pérez-Sánchez A., Illescas B. M., Rojo J., Martín N., Chem. Commun. 2016, 52, 10544–10546. [DOI] [PubMed] [Google Scholar]
  • 45. Ramos-Soriano J., Reina J. J., Illescas B. M., Rojo J., Martín N., J. Org. Chem. 2018, 83, 1727–1736. [DOI] [PubMed] [Google Scholar]
  • 46. Li H., Zhang B., Lu X., Tan X., Jia F., Xiao Y., Cheng Z., Li Y., Silva D. O., Schrekker H. S., Zhang K., Mirkin C. A., Proc. Natl. Acad. Sci. USA 2018, 115, 4340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Ramos-Soriano J., Reina J. J., Illescas B. M., de la Cruz N., Rodríguez-Pérez L., Lasala F., Rojo J., Delgado R., Martín N., J. Am. Chem. Soc. 2019, 141, 15403–15412. [DOI] [PubMed] [Google Scholar]
  • 48. Palacios-Corella M., Ramos-Soriano J., Souto M., Ananias D., Calbo J., Ortí E., Illescas B. M., Clemente-León M., Martín N., Coronado E., Chem. Sci. 2021, 12, 757–766. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Ramos-Soriano J., Pérez-Sánchez A., Ramírez-Barroso S., Illescas B. M., Azmani K., Rodríguez-Fortea A., Poblet J. M., Hally C., Nonell S., García-Fresnadillo D., Rojo J., Martín N., Angew. Chem. Int. Ed. 2021, 60, 16109–16118; [DOI] [PMC free article] [PubMed] [Google Scholar]; Angew. Chem. 2021, 133, 16245–16254. [Google Scholar]
  • 50. Shu C., Xu W., Slebodnick C., Champion H., Fu W., Reid J. E., Azurmendi H., Wang C., Harich K., Dorn H. C., Gibson H. W., Org. Lett. 2009, 11, 1753–1756. [DOI] [PubMed] [Google Scholar]
  • 51. Lukoyanova O., Cardona C. M., Rivera J., Lugo-Morales L. Z., Chancellor C. J., Olmstead M. M., Rodríguez-Fortea A., Poblet J. M., Balch A. L., Echegoyen L., J. Am. Chem. Soc. 2007, 129, 10423–10430. [DOI] [PubMed] [Google Scholar]
  • 52. Izquierdo M., Cerón M. R., Olmstead M. M., Balch A. L., Echegoyen L., Angew. Chem. Int. Ed. 2013, 52, 11826–11830; [DOI] [PubMed] [Google Scholar]; Angew. Chem. 2013, 125, 12042–12046. [Google Scholar]
  • 53. Wei T., Pérez-Ojeda M. E., Hirsch A., Chem. Commun. 2017, 53, 7886–7889. [DOI] [PubMed] [Google Scholar]
  • 54. Izquierdo M., Platzer B., Stasyuk A. J., Stasyuk O. A., Voityuk A. A., Cuesta S., Solà M., Guldi D. M., Martín N., Angew. Chem. Int. Ed. 2019, 58, 6932–6937; [DOI] [PubMed] [Google Scholar]; Angew. Chem. 2019, 131, 7006–7011. [Google Scholar]
  • 55. Feng L., Gayathri Radhakrishnan S., Mizorogi N., Slanina Z., Nikawa H., Tsuchiya T., Akasaka T., Nagase S., Martín N., Guldi D. M., J. Am. Chem. Soc. 2011, 133, 7608–7618. [DOI] [PubMed] [Google Scholar]
  • 56. Feng L., Rudolf M., Wolfrum S., Troeger A., Slanina Z., Akasaka T., Nagase S., Martín N., Ameri T., Brabec C. J., Guldi D. M., J. Am. Chem. Soc. 2012, 134, 12190–12197. [DOI] [PubMed] [Google Scholar]
  • 57. Rudolf M., Feng L., Slanina Z., Akasaka T., Nagase S., Guldi D. M., J. Am. Chem. Soc. 2013, 135, 11165–11174. [DOI] [PubMed] [Google Scholar]
  • 58. Li Y., Emge T. J., Moreno-Vicente A., Kopcha W. P., Sun Y., Mansoor I. F., Lipke M. C., Hall G. S., Poblet J. M., Rodríguez-Fortea A., Zhang J., Angew. Chem. Int. Ed. 2021, 60, 25269–25273; [DOI] [PubMed] [Google Scholar]; Angew. Chem. 2021, 133, 25473–25477. [Google Scholar]
  • 59. Braun K., Dunsch L., Pipkorn R., Bock M., Baeuerle T., Yang S., Waldeck W., Wiessler M., Int. J. Med. Sci. 2010, 7, 136–146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Svitova A., Braun K., Popov A. A., Dunsch L., ChemistryOpen 2012, 1, 207–210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Krivanek O. L., Chisholm M. F., Nicolosi V., Pennycook T. J., Corbin G. J., Dellby N., Murfitt M. F., Own C. S., Szilagyi Z. S., Oxley M. P., Pantelides S. T., Pennycook S. J., Nature 2010, 464, 571–574. [DOI] [PubMed] [Google Scholar]
  • 62. Rodríguez-Fortea A., Balch A. L., Poblet J. M., Chem. Soc. Rev. 2011, 40, 3551–3563. [DOI] [PubMed] [Google Scholar]
  • 63. Abella L., Wang Y., Rodríguez-Fortea A., Chen N., Poblet J. M., Inorg. Chim. Acta 2017, 468, 91–104. [Google Scholar]
  • 64. Pérez E. M., Martín N., Chem. Soc. Rev. 2015, 44, 6425–6433. [DOI] [PubMed] [Google Scholar]
  • 65. Fuertes-Espinosa C., Gómez-Torres A., Morales-Martínez R., Rodríguez-Fortea A., García-Simón C., Gándara F., Imaz I., Juanhuix J., Maspoch D., Poblet J. M., Echegoyen L., Ribas X., Angew. Chem. Int. Ed. 2018, 57, 11294–11299; [DOI] [PubMed] [Google Scholar]; Angew. Chem. 2018, 130, 11464–11469. [Google Scholar]
  • 66. Fuertes-Espinosa C., Murillo J., Soto M. E., Ceron M. R., Morales-Martínez R., Rodríguez-Fortea A., Poblet J. M., Echegoyen L., Ribas X., Nanoscale 2019, 11, 23035–23041. [DOI] [PubMed] [Google Scholar]
  • 67. Yang L., Chueng S.-T. D., Li Y., Patel M., Rathnam C., Dey G., Wang L., Cai L., Lee K.-B., Nat. Commun. 2018, 9, 3147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Shi Y., Inoue H., Wu J. C., Yamanaka S., Nat. Rev. Drug Discovery 2017, 16, 115–130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Liosi K., Stasyuk A. J., Masero F., Voityuk A. A., Nauser T., Mougel V., Solà M., Yamakoshi Y., JACS Au 2021, 1, 1601–1611. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Kraljić I., Mohsni S. E., Photochem. Photobiol. 1978, 28, 577–581. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re‐organized for online delivery, but are not copy‐edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.

Supporting Information

Data Availability Statement

The data that support the findings of this study are available in the supplementary material of this article.


Articles from Angewandte Chemie (International Ed. in English) are provided here courtesy of Wiley

RESOURCES