Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder whose prevalence is rising with the aging of the global population. Among the proposed pathological hallmarks, the beta-amyloid (Aβ) peptide aggregates and soluble Aβ oligomers are established biomarkers and remain valuable diagnostic targets. While positron emission tomography (PET) imaging agents dominate AD diagnostic imaging, there are no FDA-approved MRI agents for AD. Herein, we report five bifunctional chelators built on the 2,11-diaza[3.3](2,6)pyridinophane framework, and which were evaluated as chelators for Mn2+-based MRI contrast agents. Based on in vitro studies, including thermodynamic stability and kinetic inertness measurements, T1 relaxivity and 17O transverse relaxivity measurements to extract hydration numbers and water-exchange parameters, we obtained a clear structure–activity correlation for the corresponding bifunctional chelators: anionic picolinate and acetate arms increase thermodynamic stability and kinetic inertness, while the benzothiazolyl-phenol arm accelerates water exchange. Importantly, a high hydration number alone is insufficient, as a rapid water exchange is also needed for an appreciable contrast. Moreover, we show both the bifunctional chelators and their Mn2+ complexes exhibit appreciable affinity for Aβ aggregates, both in vitro and in 5xFAD mouse brain sections. [Mn(TE-8)], the most kinetically inert complex with favorable relaxivity, log D, and Aβ affinity, was advanced to in vivo MRI studies. Unlike MnCl2, which accumulates non-specifically, [Mn(TE-8)] cleared through renal and hepatobiliary routes and produced measurable brain contrast enhancement. Together, these results establish the diazapyridinophane scaffold as a viable first-generation platform for blood–brain barrier (BBB)–permeable Mn2+ MRI contrast agents.
Herein, five bifunctional pyridinophane chelators were employed to develop Mn(ii) MRI contrast agents for the detection of beta-amyloid peptide aggregates, one of the hallmarks of Alzheimer's disease.
Introduction
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impairs memory, cognition, and daily functioning.1–3 AD is the leading cause of dementia and ranks as the fifth leading cause of death.4 In the United States, approximately 5.8 million individuals are currently living with AD dementia, a figure projected to increase to 13.8 million by 2050. Multiple mechanisms contribute to AD pathogenesis, including the accumulation of amyloid beta (Aβ) plaques, neurofibrillary tangles, oxidative stress, neuroinflammation, mitochondrial dysfunction, and synaptic impairment.5–7 The amyloid hypothesis has been a predominant theory, positing that Aβ deposition is central to AD, followed by the formation of neurofibrillary tangles, neuronal death, and dementia.8–10 Aβ peptide is generated by the abnormal cleavage of amyloid precursor protein (APP) by β- and γ-secretases, producing several forms, with Aβ40 and Aβ42 being the most prevalent.11–13 Aβ42 exhibits a greater tendency to aggregate, leading to the formation of Aβ plaques, which serve as a key biomarker for AD diagnosis.5,14,15 Furthermore, both soluble and insoluble Aβ oligomers are considered highly neurotoxic.16–19 Neuropathological studies and in vivo quantitative neuroimaging have demonstrated that cerebral Aβ accumulation is among the earliest preclinical biomarkers of AD.20–22 Consequently, Aβ plaques and soluble oligomers represent promising targets for imaging agents aimed at the early diagnosis of the disease.
Currently, the diagnosis of AD employs a range of techniques, including behavioral and cognitive assessments, blood and cerebrospinal fluid (CSF) analyses, neurological evaluations, and brain imaging.1,23–25 Due to the highly invasive nature of CSF collection, recent research has prioritized the identification of alternative non-invasive or minimally invasive biomarkers for early AD diagnosis. Positron emission tomography (PET) imaging agents targeting amyloid have been extensively investigated, with Pittsburgh compound B (PIB) recognized as a prominent agent that provides high image resolution and enables differentiation between AD and non-AD patients.26–29 However, the use of PIB is constrained by its reliance on the short-lived isotope 11C, which limits its commercial application. The Food and Drug Administration has subsequently approved PET imaging agents based on 18F, such as [18F]AV45, [18F]florbetaben, and [18F]flutemetamol (Fig. 1).30–32 Although 18F offers a longer half-life than 11C, its 110 minute half-life still presents logistical challenges. In contrast, radiometals such as 64Cu are advantageous due to their extended half-lives. Importantly, our group has shown that these same frameworks tolerate conjugation to Aβ-binding fragments without loss of chelation, yielding functional bifunctional chelators (BFCs) for 64Cu-based compounds that employ robust chelating frameworks such as 2,11-diaza[3.3](2,6)pyridinophane and 1,4,7-triazacyclononane (TACN).33–38 The bifunctional chelators were further conjugated to small molecule ligands known to bind Aβ plaques, including Thioflavin T (ThT) and stilbene derivatives inspired by 18F-labeled FDA-approved compounds.39–42
Fig. 1. (a) Representative small molecules commonly employed as positron emission tomography (PET) imaging agents for Alzheimer's disease, (b) design principles underlying the compounds investigated in this study, (c) previously reported simple pyridinophane ligands with potential for Mn2+ MRI applications,43 and (d) bifunctional chelators examined in this study.

MRI is an appealing complement to PET, as it avoids ionizing radiation and offers higher spatial resolution, yet there are no FDA-approved MRI agents for AD diagnosis. Designing such an agent is difficult because the requirements pull in opposite directions: the physicochemical properties that make an effective MRI agent conflict with those needed for efficient blood–brain barrier (BBB) permeability. Successful MRI agent design must address criteria such as thermodynamic stability, kinetic inertness, and the presence of available coordination sites for water binding, which are essential for enhancing relaxivity and optimizing water exchange rates. To achieve brain penetration, MRI agents must also possess properties that facilitate passage through the BBB, a highly selective membrane that restricts central nervous system (CNS) access.44,45 Key considerations include lipophilicity, molecular weight, topological polar surface area (TPSA), and the number of hydrogen bond donors and acceptors, all of which must remain within specific thresholds.46–48 This opposite requirements between the hydrophilicity needed for relaxivity and lipophilicity needed for brain uptake is the central design challenge. Mn2+, administered as MnCl2, has been utilized as contrast agents because Mn2+ can cross the BBB and accumulate in specific brain regions, such as the olfactory bulbs and hippocampal formation.49–51 Mn2+-enhanced MRI (MEMRI) has been employed in numerous animal studies, including those focused on Alzheimer's disease, as Mn2+ can enter neurons via voltage-gated calcium ion channels due to the similar ionic radii of Mn2+ and Ca2+.49,52–54 Recently, Brewster et al. reported one of the few examples of a Mn2+-based MRI agent for imaging amyloid-beta aggregates, utilizing the texaphyrin framework, which has demonstrated both diagnostic and therapeutic effects in Alzheimer's disease models.55 Due to the limited literature on Mn2+-based MRI agents, further development of such agents is essential to facilitate early diagnosis of Alzheimer's disease.
In addition to PET and MRI, fluorescent probes that generate detectable signals upon interaction with Aβ aggregates have been employed. Common design strategies for these probes include restriction of intramolecular rotation (RIR), modulation of intramolecular charge transfer (ICT), and adjustment of fluorescence in response to the local polarity and microenvironment of the fluorophore.56 For RIR-based probes, binding to Aβ restricts molecular motion and suppresses nonradiative relaxation, which enhances fluorescence. This approach was recently demonstrated with ZY-12-OMe, a stilbene-based Aβ probe that exhibits enhanced, blue-shifted fluorescence upon Aβ binding due to restricted aromatic ring rotation and changes in the local hydrophobic environment.42,57 In contrast, donor-π-acceptor fluorophores can undergo twisted intramolecular charge transfer (TICT) in aqueous solution, resulting in weak fluorescence. However, binding within the hydrophobic environment of Aβ aggregates can suppress TICT and promote a more emissive state.58–60 Recent examples include BODIPY-based near-infrared probes such as BQ-1, which was specifically developed for Aβ42 aggregates. BQ-1 revealed a remarkable 189.5-fold increase in fluorescence upon binding, attributed to a TICT-based mechanism.61 Other fluorophore scaffolds, such as benzothiazole, cyanine, and distyrylbenzene derivatives have also been investigated to achieve Aβ-responsive fluorescence and enhance sensitivity for various Aβ species.
Recent studies by our group43,62 and Toàn et al.63 have demonstrated that the pyridinophane framework is well suited for Mn2+ due to its thermodynamic stability, kinetic inertness, and favorable relaxivity properties. In this study, the pyridinophane ligand framework was functionalized with a benzothiazole group, a small molecule structurally similar to ThT and PIB. This design strategy was previously applied to 64Cu chelators, where the pyridinophane framework underwent a Mannich reaction to append the benzothiazole group to the secondary amine of the macrocycle. The remaining secondary amine was modified with various chelating arms, including picolyl, picolinate, and acetate groups, or was left unmodified or methylated. Some of these compounds had been previously reported and were repurposed for Mn2+, while others were newly synthesized for this investigation. To address the complex requirements for developing a Mn2+ MRI agent for Alzheimer's disease, a library of compounds was evaluated for their coordination abilities, specifically thermodynamic stability, kinetic inertness, and redox stability with Mn2+. Additional assessments included in vitro binding affinity to Aβ42, topical staining of bifunctional compounds on mouse brain slices, log D evaluation, and cell toxicity to identify candidates for in vivo evaluation. In vivo MRI studies were performed on the most promising compounds. Results were compared to MnCl2, a non-specific MRI agent, to assess each compound's effectiveness in enhancing contrast in murine models.
Results and discussion
Synthesis of organic ligands
The synthesis of the chelators involved a Richman-Atkins cyclization of S1 and S2 to produce TsN4. Subsequent deprotection of TsN4 with sulfuric acid yielded HN4, which served as a common precursor for the unsymmetric chelators examined in this study. The objective was to employ the benzothiazole fragment, known for its interaction with Aβ fibrils, and to systematically vary the substituent on the secondary amine to determine the optimal coordination number for Mn2+ complexes. Different synthetic routes were selected based on the chelating arm, as certain arms are acid sensitive and the benzothiazole moiety may be sensitive to either acid or base. For TE-7, synthesis commenced from HN4, followed by selective protection with di-tert-butyl dicarbonate (Boc2O), yielding tert-butyl 3,7-diaza-1,5(2,6)-dipyridinacyclooctaphane-3-carboxylate (HNBoc, S7) in 40% yield. An SN2 reaction between HNBoc and 2-bromomethylpyridine·HBr in the presence of Na2CO3 produced a mixture of Boc-protected and Boc-deprotected products, likely due to the mildly acidic conditions of the HBr salt. The crude mixture underwent Boc deprotection with 4 M HCl in dioxane, affording S8 in 37% yield over two steps. Installation of the benzothiazole group via a Mannich reaction with paraformaldehyde yielded TE-7 after column purification. For TE-8, HNBoc (S7) underwent an SN2 reaction with picolinate methyl bromide in the presence of Na2CO3, affording tert-butyl 7-((6-(methoxycarbonyl)pyridin-2-yl)methyl)-3,7-diaza-1,5(2,6)-dipyridinacyclooctaphane-3-carboxylate (BocN4picolinate) in 46% yield (Fig. 2). Subsequent Boc deprotection with 4 M HCl in dioxane, followed by a Mannich reaction to introduce the benzothiazole group, afforded the protected TE-8 ligand in 53% yield. Basic hydrolysis with LiOH was employed to hydrolyze the picolinate group, thereby minimizing product decomposition, as the bifunctional ligands may be sensitive to acidic conditions. For TE-9, a distinct synthetic route was utilized: HN4 was reacted with tert-butyl bromoacetate to yield both mono- and di-alkylated products, which were separated by column chromatography on basic alumina to isolate the desired mono-alkylated product in 35% yield. A subsequent Mannich reaction on the mono-alkylated product afforded protected TE-9 in 67% yield. The synthesis of TE-10 involved reacting HNBoc with the benzothiazolyl-phenol and paraformaldehyde via a Mannich reaction, affording the protected ligand in 58% yield. Deprotection of the Boc group with 4 M HCl in dioxane produced the final ligand in 76% yield. TE-11 was synthesized according to a previously reported procedure, with minor modifications to the purification process, utilizing a basic alumina column to achieve a 60% yield of the final ligand.
Fig. 2. Synthetic scheme corresponding to the synthesis of bifunctional chelators explored in this study.

Mn complex synthesis and X-ray characterization
Metal complexes were synthesized under anaerobic conditions by combining the appropriate ligands with Mn(ii) salts, including Mn(ClO4)2, Mn(OTf)2, or MnCl2, in the presence of a base. The resulting Mn2+ complexes were isolated as powders, and single crystals suitable for X-ray diffraction analysis were obtained through vapor diffusion or solvent-layering techniques. Crystals of [Mn(TE-7)]OTf were grown by layering a solution of the Mn complex in acetonitrile and methanol with diethyl ether. The complex crystallized in the centrosymmetric space group P1̄, with the Mn2 atom located on a crystallographic inversion center (Fig. 3a). The coordination environment of [Mn(TE-7)] is best described as a distorted pentagonal bipyramidal geometry. Notably, the axial amine donor atoms N3 and N4 exhibit elongated Mn–N bond distances of 2.407 and 2.415 Å (Table 1), consistent with relatively weak axial coordination.
Fig. 3. ORTEPs (50% ellipsoid probability) of X-ray crystal structures of (a) [Mn(TE-7)]+ and (b) [Mn(TE-11)]Cl2. Most hydrogen atoms were omitted for clarity, and anions and solvent molecules are shown only for key interactions.

Table 1. Mn–ligand distances (Å) for Mn complexes.
| Complex | TE-7 | TE-11 |
|---|---|---|
| Mn1–N1 | 2.294(3) | 2.2545(12) |
| Mn1–N2 | 2.290(3) | 2.2390(12) |
| Mn1–N3 | 2.407(3) | 2.4091(12) |
| Mn1–N4 | 2.415(4) | 2.3665(12) |
| Mn1–N5 | 2.297(4) | |
| Mn1–O1 | 2.240(3) | |
| Mn1–O2 | 2.275(3) | |
| Mn1–Cl1 | 2.4288(4) | |
| Mn1–Cl2 | 2.4177(4) |
The benzothiazolyl moiety contains a μ-oxygen bridge derived from the deprotonated phenol group, linking two Mn2+ centers. One Mn2+ ion is coordinated by the pyridinophane ligand framework, while the second Mn2+ ion is preferentially bound by the O atoms from the benzothiazolyl fragment, including both the methoxy and the hydroxyl groups. The weakly coordinating triflate anion also participates in coordination to both Mn centers. This type of μ-phenoxo-bridged Mn2+ coordination environment is commonly observed in manganese-containing enzymes, such as catalases.64 The formation of such structures is facilitated by the relatively large ionic radius, high-spin d5 electronic configuration, and kinetic lability of Mn2+. Consequently, Mn2+ readily accommodates additional weak donor ligands, including oxygen-containing groups and weakly coordinating anions, which can contribute to stabilization of the metal center. Although direct correlations between solid-state and solution-phase structures should be made cautiously, it is expected that the weakly bound triflate ligands dissociate in solution and are replaced by solvent molecules, particularly water. Such water-accessible coordination sites are advantageous for MRI applications, as they can enhance water exchange and improve relaxivity, thereby increasing imaging efficiency.
For [Mn(TE-11)], MnCl2 was used as the Mn salt, yielding a (TE-11) Mn–dichloride complex with an octahedral geometry. In this structure, the benzothiazolyl group does not coordinate to the Mn center, and the longest bonds are Mn–Cl1 and Mn–Cl2 (Fig. 3b). These chloride ligands are expected to dissociate readily in solution, allowing water molecules to bind to the Mn2+ center. This hypothesis is supported by 17O transverse relaxivity measurements. Attempts to crystallize the other three complexes were unsuccessful.
Determination of protonation constants and stability constants of Mn2+ complexes
Spectrophotometric titrations were used to determine the protonation constants of ligands containing functional groups such as pyridines, picolinates, and benzothiazoles. These groups undergo protonation and deprotonation, which are accompanied by changes in their UV-vis absorption spectra. The phenol group within the benzothiazole moiety serves as an effective spectroscopic probe because its deprotonation induces a bathochromic shift in the absorption spectrum. This shift is attributed to increased electron density and enhanced delocalization of the negative charge from the phenolate oxygen into the aromatic ring, which reduces the HOMO–LUMO energy gap and results in a red shift in absorption (Fig. 4). The absorbance changes were monitored by tracking the λmax of the absorption bands corresponding to the different protonation states of the phenol group.
Fig. 4. (a) UV-Vis absorption spectra of TE-8 and (c) TE-9 (4 × 10−5 M, I = 0.1 M KCl, 25 °C) were recorded at various pH values. (b and d) Speciation plots show the distribution of TE-8 and TE-9 species, respectively. Dotted blue triangles indicate spectral changes at λmax 329 nm (TE-8) and 326 nm (TE-9), with best fit lines in red. Dotted yellow triangles indicate changes at λmax 367 nm (TE-8) and 356 nm (TE-9), with best fit lines in black. The bathochromic shifts at 367 nm (TE-8) and 356 nm (TE-9) result from deprotonation of the phenol group in the benzothiazolyl moiety. Ligands were prepared in DMSO and diluted to micromolar concentrations, with final DMSO content below 2% (v/v). (e and g) UV-Vis spectra of [Mn(TE-8)] and [Mn(TE-9)] (4 × 10−5 M, I = 0.1 M KCl, 25 °C) were measured at varying pHs. (f and h) Speciation plots show species distribution. Blue and yellow triangles represent changes at λmax values of 327/324 nm and 367/359 nm, with the best-fit lines shown. Bathochromic shifts at 367 nm (TE-8) and 359 nm (TE-9) result from phenol deprotonation. Ligands were prepared in DMSO, while the metal salt was prepared in water.

Potentiometric titrations could not be performed due to the limited aqueous solubility of these compounds. Therefore, the ligands were prepared as DMSO stock solutions and diluted to micromolar concentrations, ensuring that the final DMSO content in the titration vessel remained below 2% (v/v). The pH-dependent changes in UV-vis were sufficiently pronounced to enable reliable determination of pKa values. Boros et al.65 have indicated that absorbance changes greater than 0.2 are desirable for spectrophotometric titrations. In the present study, the observed absorbance changes met this criterion, supporting the use of spectrophotometric titration to determine protonation constants. All titrations were conducted in the presence of 0.1 M KCl to maintain constant ionic strength. Pyridinophane ligands act as effective proton sponges, impeding complete deprotonation except under basic pH conditions.66,67 A comparison of the most basic proton, attributed to the tertiary amine pKa of TE-7 and TE-9, indicates that substituting a pyridyl arm with an acetate arm slightly reduces the overall basicity of the ligands. The most basic pKa of TE-7 is 10.56, whereas that of TE-9 is 10.06 (Table 2). The most acidic pKa of TE-7, with a value of 1.83, likely corresponds to deprotonation of the pyridyl arm, which aligns with previous reports on related macrocyclic ligands of cyclam containing a pyridyl arm (Table 2).68 For TE-9, the most acidic pKa likely corresponds to deprotonation of an acetate group, consistent with prior work on analogous chelators bearing acetate arms. A comparison of TE-10 and TE-11, which differ by a methyl group, demonstrates that TE-11 is more basic than TE-10. These differences were expected, as N-methylation increases the amine's electron-donating ability through hyperconjugation from the methyl group.
Table 2. Protonation constants of synthesized chelators TE-8, TE-8, TE-9, TE-10, and TE-11. Titrations were performed in the presence of 0.1 M KCl. Ligands were prepared in DMSO and diluted to micromolar concentrations, with final DMSO content below 2% (v/v).
| log KHL | log KH2L | log KH3L | log KH4L | |
|---|---|---|---|---|
| TE-1a | 9.84(3) | 5.36(4) | 3.56(5) | |
| TE-4a | 9.25(3) | 5.99(4) | 3.09(7) | 2.84(6) |
| TE-7 | 10.56(6) | 7.99(6) | 5.27(6) | 1.83(7) |
| TE-8 | 11.54(3) | 8.52(3) | 6.43(3) | 2.75(4) |
| TE-9 | 10.06(1) | 7.23(5) | 5.47(5) | 3.29(2) |
| TE-10 | 8.72(1) | 5.59(3) | 5.20(7) | 2.85(3) |
| TE-11 | 10.25(7) | 7.85(7) | 4.43(9) | 4.01(8) |
| BPPAb | 8.65(1) | 6.26(1) | 2.92(1) | |
| 1,4-Et4DO2Ac | 11.5(1) | 11.1(3) | 4.4(2) | 3.6(2) |
Knowledge of protonation constants is required before conducting metal complex titrations because ligand protonation and metal complex formation compete in solution. To ensure the accuracy of the stability constants, ligand protonation constants are entered into HypSpec software together with metal formation constants. This approach allows for differentiation between simple ligand protonation and complex formation. Stability constants of the Mn2+ complexes were determined using spectrophotometric titrations. In this method, the ligand and a source of Mn2+ salt were premixed to form the complex in situ. The resulting complex was then dissolved in 0.1 M KCl to maintain ionic strength, and the pH was adjusted using 0.15 M KOH. Similar to the free ligands, the Mn2+ complexes exhibited a bathochromic shift upon phenol deprotonation, resulting in measurable changes in the UV-Vis spectra (Fig. 4). Among the Mn2+ complexes in this series, [Mn(TE-8)] exhibited the highest log KMnL value of 17.13. This observation aligns with the finding that chelators with higher denticity, such as those with seven coordinating atoms, generally form the most thermodynamically stable complexes, as reported by Uzal-Varela et al.70 The second highest log KMnL value was observed for [Mn(TE-9)] at 15.75. Previous studies indicate that picolinate and acetate ligands, classified as borderline bases according to Pearson's hard and soft acid–base theory, are well matched to the Mn2+ ion, which is a borderline acid. These ligand arms typically confer significant thermodynamic stability. While log KMnL values represent the thermodynamic stability of Mn complexes with specific protonation states, calculated pMn values more accurately reflect the stability of Mn complexes at defined pH values. Within this series, [Mn(TE-9)] displayed the highest pMn value of 9.04, followed by [Mn(TE-8)] with a pMn value of 8.52. Overall, both TE-8 and TE-9 ligands demonstrated strong affinity for Mn2+ ions, making them promising candidates for further evaluation. A comparison of the stability constants for Mn2+ complexes of the bifunctional ligands described herein and the previously reported Mn2+ complexes of TE-1, TE-4, and BPPA ligands indicates that the stability constants and pMn values are similar to those obtained by potentiometric titrations (Table 3). In certain cases, such as the substitution of a carboxylate arm of TE-4 with a benzothiazolylphenolate arm in TE-9, a slight reduction in log KMnL and pMn was observed, likely due to increased steric hindrance around the metal center. The lower log KMnL values for more sterically hindered ligands can be partially explained by steric interactions within the metal-binding cavity, which may impede optimal Mn2+ coordination. This trend has also been reported by Uzal-Varela et al.,70 who attributed the decreased stability constants of Mn2+ complexes to the presence of bulkier substituents on the ligands.
Table 3. Stability constants of synthesized chelators TE-8, TE-8, TE-9, TE-10, and TE-11 with Mn2+. Titrations were performed in the presence of 0.1 M KCl. Ligands were prepared in DMSO (final DMSO <2%), metal salt in water.
| log KMnLH2 | log KMnLH | log KMnL | log KMnLOH | pMna | |
|---|---|---|---|---|---|
| [Mn(TE-1)]b | 13.20(4) | 9.63(4) | 7.94 | ||
| [Mn(TE-4)]b | 16.76(5) | 10.18(5) | 9.98 | ||
| [Mn(TE-7)]+ | 6.05(3) | 13.75(3) | 5.98(4) | 7.53 | |
| [Mn(TE-8)] | 5.4(1) | 6.68(8) | 17.13(9) | 7.55(8) | 8.52 |
| [Mn(TE-9)] | 5.49(1) | 15.75(1) | 7.55(1) | 9.04 | |
| [Mn(TE-10)]2+ | 5.46(6) | 12.72(6) | 5.76(6) | 7.51 | |
| [Mn(TE-11)]2+ | 5.15(1) | 14.45(1) | 9.48(1) | 8.01 | |
| [Mn(BPPA)]+c | 1.69(3) | 16.45(1) | 12.19(2) | 10.08 | |
| [Mn(1,4-Et4DO2A)]d | 4.5(1) | 17.9(1) | 7.5 |
pMn calculated as −log[Mn]free where [Mn2+] = 10−5 M, [L] = 10−5 M, pH = 7.4.
Reported by our group for related Mn2+ complexes using potentiometric titrations in 0.16 M NaCl.43
Reported by Toàn et al.63 for an Mn2+ complex using potentiometric titrations in 0.16 M NaCl.
Xu et al.69 Reported DO2A-type Mn2+ complexes characterized using potentiometric titrations.
Evaluation of kinetic inertness and electrochemical properties
Mn2+ complexes are intrinsically labile due to the negligible ligand-field stabilization of the d5 configuration, making resistance to transmetalation a key design criterion. In line with the Irving-Williams series, Zn2+ readily outcompetes Mn2+ for ligand binding, necessitating a stringent evaluation of kinetic inertness. Kinetic inertness was assessed by exposing Mn2+ complexes to 25 equivalents of ZnCl2 and monitoring the decrease in Mn2+ complexes alongside the corresponding increase in Zn2+ complexes using high-performance liquid chromatography (HPLC), as the two complexes exhibit distinct retention times. The challenge conditions of 25 equiv. of ZnCl2 were selected based on other studies, as they provide a good comparison with other complexes in literature.63,71 Certain Mn2+ complexes, including [Mn(TE-9)] and [Mn(TE-10)]2+, were unstable under Zn2+ challenge. Specifically, [Mn(TE-9)] dissociated immediately under these conditions. For [Mn(TE-10)]2+, a color change from yellow to brown was observed during the experiment, suggesting that the Mn2+ complex may undergo oxidation over time. The oxidation of Mn2+ phenolate compounds has been previously reported, as phenolates can function as redox-non-innocent ligands, rendering them redox-unstable or highly reactive.72 In contrast, Mn2+ complexes of TE-7, TE-8, and TE-11 displayed dissociation half-lives of 37, 120, and 15 min, respectively (Fig. 5a, b, Fig. S41, and Table 4). Increased coordination number correlated with enhanced resistance to Zn2+-mediated transmetallation, as observed for [Mn(TE-7)]+ and [Mn(TE-8)]. Ligand design exerts a dominant influence on kinetic inertness. For example, picolinate donor arms outperformed picolyl arms in terms of kinetic inertness. Additionally, N-methylation of amines enhanced the kinetic inertness of the corresponding metal complex, as demonstrated for [Mn(TE-11)]2+. Notably, [Mn(TE-8)] exhibited the longest half-life, establishing it as the most kinetically inert complex in this series and a leading candidate for in vivo application.
Fig. 5. (a) HPLC traces of [Mn(TE-8)] over the course of the challenge experiment with 25 equiv. ZnCl2. (b) % remaining [Mn(TE-8)] as a function of time based on the integration area of peak. (c) Variable scan rate cyclic voltammograms of [Mn(TE-8)] in 1 : 1 (MeCN : H2O) with 100 mM NaClO4 as supporting electrolyte. (d) Differential Pulse Voltammogram of [Mn(TE-8)]. (e) Variable scan rate cyclic voltammograms of [Mn(TE-9)] in 1 : 1 (MeCN : H2O) with 100 mM NaClO4 as supporting electrolyte. (f) Differential Pulse Voltammogram of [Mn(TE-9)].

Table 4. Rates of transmetallation of the Mn complexes for the ligands reported in this series and relevant analogs, measured in presence of 25 equiv. Zn2+.
In addition to evaluating the kinetic inertness of the metal complexes, redox stability was assessed using cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The experimental setup consisted of a glassy carbon working electrode, an Ag/AgCl reference electrode, and a platinum wire auxiliary electrode. When the oxidation potential was irreversible, DPV was employed to estimate the oxidation potential. Measurements were conducted in 1 : 1 MeCN : H2O with 100 mM NaClO4 as the supporting electrolyte. Since Mn3+ is generally a less effective relaxation agent than Mn2+, due to fewer unpaired electrons and a reduced impact on the dipolar moments of water protons, it was necessary to determine the oxidation potential of the Mn2+ complexes. The overall formal charges of the complexes in solution were assigned from the ligand speciation and the number of deprotonated anionic donor arms at physiological pH: [Mn(TE-7)]+, [Mn(TE-10)]2+, and [Mn(TE-11)]2+ were considered positively charged, while [Mn(TE-8)] and [Mn(TE-9)] were considered neutral. Analysis of the cyclic voltammograms and differential pulse voltammograms for [Mn(TE-7)]+, [Mn(TE-10)]2+, and [Mn(TE-11)]2+ revealed multiple oxidation features, indicating the presence of several species in solution (Fig. S41). Complete assignment of each species is challenging, as Mn complexes with oxygen-containing ligands often dimerize, frequently bridged by oxo (μ-O), hydroxo (μ-OH), or carboxylato (μ-OAc) groups.64,73,74 For [Mn(TE-7)]+, crystallization of the complex demonstrated bridging ligands in the solid state. The solid-state structure may reflect one of the solution-state structures, potentially explaining the multiple oxidative features of Mn(ii)/Mn(iii) observed in Fig. S72. For [Mn(TE-8)] and [Mn(TE-9)], the oxidation potentials were less positive than those of the other complexes, consistent with their neutral character, as both possess two anionic donor arms coordinating to the Mn2+ center (Fig. 5c–f).
Evaluation of relaxation properties
The relaxivities of the Mn2+ complexes were evaluated under conditions consistent with previously reported studies involving pyridinophane ligands.43,62,63 Specifically, relaxivities were measured in 50 mM HEPES buffer at pH 7.4. Among the compounds tested, [Mn(TE-7)]+, [Mn(TE-8)], and [Mn(TE-10)]2+ exhibited the highest r1 relaxivity values of 3.38, 3.03, and 3.22 mM−1 s−1, respectively (Fig. 6). Comparison with non-targeted, simple Mn2+ complexes such as [Mn(TE-1)] and [Mn(TE-4)] revealed that the bifunctional chelators exhibited relaxivity values in a similar range.43 This finding suggests that the benzothiazole moiety does not adversely affect the relaxivity of these bifunctional chelators relative to the non-targeted simple complexes, including [Mn(TE-1)], [Mn(TE-4)], and [Mn(BPPA)], as previously explored by Toàn et al.63 and our research group.43 Additionally, [Mn(TE-9)], which contains an acetate chelating arm, demonstrated lower relaxivity compared to [Mn(TE-8)], which features a picolinate chelating arm. This trend was also observed for the simple Mn2+ complexes. A comparison of the relaxivities of [Mn(TE-2)]+62 and [Mn(TE-8)], which differ in their N-amine substituents, shows that [Mn(TE-8)] exhibits slightly higher relaxivity. While [Mn(TE-2)]+ contains an N-methyl group,62 [Mn(TE-8)] incorporates a benzothiazolyl moiety. The enhanced relaxivity of [Mn(TE-8)] may be attributed to its greater molecular weight, which could contribute to slower molecular tumbling and consequently improved relaxation efficiency.
Fig. 6. Relaxivity values of the metal complex were measured in 50 mM HEPES buffer containing 0.15 M NaCl. Relaxivities were determined from the slope of the relaxation rate versus concentration using a 1.4 T NMR spectrometer at 33 °C. The relaxivity values for [Mn(TE-1)] and [Mn(TE-4)] were reported in a previous study.43.

To elucidate the origin of the relaxivity enhancement observed in these bifunctional Mn2+ complexes, transverse 17O relaxivity experiments were conducted. Multiple factors influence the relaxation properties of contrast agents, including rotational correlation time (τr), which depends on the molecular weight of the agent, hydration number (q), water exchange rate (kex), ionizable proton exchange rate, the choice of buffer or solvent, and the field strength of the NMR instrument. The hydration number is typically determined using a method reported by Gale et al., which involves dividing the maximum 17O transverse relaxivity value by 510 mM−1 s−1, corresponding to q = 1.75 However, this approach is limited when the water exchange rate is either too rapid or too slow, as observed for the compounds investigated in this study. In such cases, the maximum transverse relaxivity is not observed for all Mn2+ complexes because the presence of water in the samples causes freezing below 0 °C (273 K), thereby limiting further temperature reduction. Xu et al. recently demonstrated that their Mn2+ complexes with DO2A-derived ligands were in the fast exchange regime.69 Consequently, they performed a global fit of either the hydration number (q) or the hyperfine coupling (A0/h), holding the other parameter constant due to their interdependence. To determine the q values for these bifunctional complexes, a global fit of the Swift–Connick equation was conducted, following the approach of Xu et al.,69 while maintaining a constant hyperfine coupling. The resulting q values were fractional, indicating a coordination equilibrium between hydrated (q = 1) and non-hydrated (q = 0) forms, rather than a single, well-defined inner-sphere water molecule.
Multiparameter fitting of the temperature dependence of the 17O T2 value yields the water exchange rate (kex), along with the associated activation enthalpy and entropy for the water exchange process. Analysis of ln(1/T2r) versus temperature, combined with curve fitting using the Swift-Connick equation, enables classification of the complexes into fast, intermediate, or slow exchange regimes. Most bifunctional Mn2+ complexes, specifically [Mn(TE-7)]+ through [Mn(TE-10)]2+, exhibit fast exchange rates (Fig. S44) compared to previously reported parent compounds43,62 that lack the benzothiazolyl group. The only exception is [Mn(TE-11)]2+, which exhibits a significantly reduced exchange rate, as indicated by the curve in Fig. S45 and the calculated value in Table 5. The observed enhancement in exchange rates is attributed to the presence of the phenol group. Previous structure–activity relationship studies on Gd cyclen complexes have demonstrated that replacing a carboxylate arm in DOTA-type compounds with phenols and phosphonates substantially increases the exchange rates of the corresponding Gd3+ complexes.76 In this series, the benzothiazolyl group functions as a binder to Aβ plaques and substantially increases the exchange rate with water molecules. For [Mn(TE-11)]2+, the markedly reduced exchange rate is likely due to the presence of the N–Me group. The absence of chelating groups that could serve as hydrogen bond acceptors, or the presence of a pyridyl group that could dissociate to allow water binding, may explain why [Mn(TE-11)]2+ has the slowest exchange rate. For [Mn(TE-7)]+, the high molecular weight of the Mn2+ complex, which slows the tumbling rate in solution, as well as steric compression around the Mn2+ center, are proposed as the primary factors contributing to the enhanced relaxivity of this compound. For [Mn(TE-8)], the appreciable relaxivity of 3.03 mM−1 s−1 is attributed to the slower tumbling rate in solution or the enhanced exchange rate, which may result from the additive effect of the phenol group and the picolinate arm that could enhance water exchange through hydrogen bonding. The observed large kex and small ΔH values indicate that the transition state associated with the association or dissociation of water molecules has a low energy barrier.69 Additionally, the 6- and 7-coordinate states exhibit comparable energies. Overall, based on its in vitro relaxation properties, [Mn(TE-8)] emerges as a promising candidate for further in vivo evaluation.
Table 5. Parameters obtained from 17O transverse relaxivity measurements; values are shown as ranges based on error of fit.
| Complex | q | ΔH‡ (kJ mol−1) | A 0/h (107 rad s−1) | T 1e (ns) | k ex (107 s−1) | τ m (ns) |
|---|---|---|---|---|---|---|
| [Mn(TE-7)]+ | 0.4 ± 0.1 | 22.4 | 4.0a | 0.0081 | 594 | 0.17 |
| [Mn(TE-8)] | 0.5 ± 0.3 | 15.6 | 3.70a | 0.005 | 240 | 0.42 |
| [Mn(TE-9)] | 0.7 ± 0.1 | 15.4 | 3.98a | 3.1 | 461 | 0.22 |
| [Mn(TE-10)]2+ | 0.5 ± 0.1 | 16.3 | 3.81a | 5.1 | 133 | 0.75 |
| [Mn(TE-11)]2+ | 0.6 ± 0.3 | 20.0 | 4.28a | 0.03 | 8.06 | 12.4 |
These values were held constant during the fitting.
Evaluation of Aβ-binding properties
Before in vivo evaluation, interactions between bifunctional chelators and amyloid-beta (Aβ) aggregates are typically assessed using titration-based fluorescence enhancement assays or competitive binding assays.77 Fluorescence binding assays depend on the activation of intrinsic fluorescence when these molecules interact with Aβ42 aggregates or fibrils. Titration with varying amounts of fluorescent probe increases fluorescence until a saturation curve is achieved. In this study, the molecules did not exhibit fluorescence activation; therefore, a competitive binding assay was performed using the established fluorescence reporter Thioflavin-T (ThT). ThT binds to Aβ42 by targeting cross-β-sheet structures.78 Upon binding to the rigid amyloid structure, ThT rotation is restricted, resulting in fluorescence activation. Several molecules, including Pittsburgh compound B (PIB) and other PET imaging agents such as 18F-flutemetamol, share structural similarities with ThT. The newly designed and repurposed bifunctional chelators containing the benzothiazole group also possess these structural features and were therefore expected to interact with Aβ42 binding pockets also targeted by ThT. Sequential titration of increasing concentrations of the chelators displaces ThT from its binding pocket, leading to a decrease in fluorescence. The resulting competitive binding curves were fitted using a one-site competition model to determine Ki values. The Ki values for the higher denticity ligands TE-7, TE-8, and TE-9 were 0.66 μM, 1.01 μM, and 1.28 μM, respectively, whereas TE-10 and TE-11 exhibited binding affinities of 3.0 μM and 2.0 μM against Aβ42 (Fig. 7 and Fig. S46). Notably, the bulkier ligands TE-7, TE-8, and TE-9 showed higher affinity for Aβ42 than the unsubstituted ligands. This observation may be attributed to the fact that benzothiazole derivatives are known to have defined binding pockets near the C-terminal and central regions of Aβ, with key interacting amino acid residues including phenylalanine (Phe), glutamate (Glu), aspartate (Asp), glycine (Gly), isoleucine (Ile), methionine (Met), valine (Val), and alanine (Ala).78,79 These residues interact with benzothiazole compounds through π–π stacking, hydrophobic interactions, and hydrogen bonding. The presence of picolyl, picolinate, and acetate groups was hypothesized to enhance these interactions, which could explain the lower affinity of TE-10 and TE-11 compared to TE-7, TE-8, and TE-9.
Fig. 7. Thioflavin T (ThT) fluorescence competition assays of (a) TE-8 (b) TE-9 (c) [Mn(TE-8)] (d) [Mn(TE-9)] with ThT-bound Aβ42 fibrils ([Aβ] = 5 μM, [ThT] = 2 μM, λex = 435 nm, λem = 485 nm). (e) Bar graph comparing the Ki values of ligands explored in this study and their corresponding Mn2+ complexes.

Compared with other fluorescent probes, such as CRANAD-based or BODIPY-based compounds that exhibit nanomolar affinities towards Aβ aggregates,58,59 the bifunctional compounds examined in this study exhibit moderate affinities in the high nanomolar to low micromolar range. However, since these compounds are intended for use as MRI contrast agents that are typically administered at millimolar concentrations, their affinities towards Aβ aggregates is considered to be adequate, and it is anticipated that these probes will effectively saturate the binding sites of Aβ plaques in vivo.
The binding affinity of the metal complexes was evaluated using the same methodology as for the simple ligands, as MRI contrast agents are administered as metal complexes in the bloodstream. Therefore, the binding affinity of the metal complexes is more relevant for biological applications. Notably, the Mn2+ complexes [Mn(TE-8)] and [Mn(TE-9)] did not show reduced affinity towards amyloid beta (Aβ). In contrast, the other three complexes, [Mn(TE-7)]+, [Mn(TE-10)]2+, and [Mn(TE-11)]2+, exhibited lower affinity compared to their corresponding ligands. The observation that [Mn(TE-8)] maintained similar affinity to its ligand TE-8 is promising, as Mn2+ complexes are the biologically relevant species for MRI applications; these pre-formed complexes are formulated and administered intravenously in mice. Consistent with their speciation, both [Mn(TE-8)] and [Mn(TE-9)] are neutral at physiological pH, each bearing two anionic donor arms. Their higher affinity, relative to the other complexes, may be attributed to the ability of neutral molecules to interact more effectively with the hydrophobic pockets of amyloid beta due to reduced solvation. In general, charged molecules solvate water molecules more efficiently, which can hinder their binding to hydrophobic pockets. The energetic barrier for binding these neutral complexes to amyloid beta fibrils may be lower than that for charged Mn2+ complexes, potentially explaining the observed differences in affinity towards Aβ fibrils.
Brain section staining and log D measurements
The interactions between bifunctional chelators, their Mn2+ complexes, and native Aβ were assessed using histological staining of brain sections. Sections from 11-month-old 5xFAD mice were stained with the bifunctional chelators, followed by co-staining with the HJ3.4 antibody, which binds all forms of Aβ, including monomeric, soluble aggregates, fibrillar, and plaque-bound species.80 Due to its broad binding properties, HJ3.4 is commonly used to quantify or visualize Aβ pathology by conjugation to a dye with a defined excitation and emission window, selected based on the fluorescence characteristics of the compounds under study.80 In this experiment, AF594 was selected because the compounds exhibited fluorescence in the blue (DAPI) or green (GFP) channels, while AF594 emits in the red fluorescence window. The presence of various forms of amyloid beta was confirmed by staining with HJ3.4-AF594, with fluorescence observed in the red (Texas Red) channel. Immunostaining of TE-7, TE-10, and TE-11 demonstrated a correlation with in vitro Ki experiments. Pearson's R correlation values, calculated from the overlap of red fluorescence in the Texas Red channel (indicating the HJ3.4-AF594 labeling of Aβ plaques) and blue/green fluorescence in the DAPI/GFP channels (reflecting intrinsic compound fluorescence), were 0.61, 0.38, and 0.55 for TE-7, TE-10, and TE-11, respectively. Higher R values indicated greater colocalization between the compounds and Aβ plaques. The Ki affinity assays showed a similar trend, with TE-7 exhibiting a Ki of 0.66 μM, TE-10 a Ki of 3.0 μM, and TE-11 a Ki of 2.0 μM. The corresponding Mn2+ complexes were stained by preparing the Mn2+ complexes in situ before co-incubating the compounds with brain slices and the HJ3.4 antibody. These Mn2+ complexes generally demonstrated reduced affinity for Aβ, as indicated by lower Pearson's correlation values compared to the ligands. This observation is further supported by the affinity values derived from the Ki measurements.
For TE-8, the Pearson's R correlation value was the lowest among all evaluated chelators. The fluorescence spots corresponding to amyloid-beta plaques appeared more diffuse than the compound's fluorescence (Fig. 8). The inconsistency between the immunostaining and Ki experiments may be explained by two hypotheses. First, brain staining experiments require compounds with intrinsic fluorescence to visualize colocalization with amyloid-beta using fluorescence microscopy. TE-8 did not exhibit sufficient fluorescence, which may account for the lower Pearson's R value relative to the other compounds. Alternatively, TE-8 may not bind the same amino acid sequence as the HJ3.4 antibody. The HJ3.4 antibody recognizes a specific epitope in the N-terminal region (amino acid residues 1–13).81 Small-molecule dyes such as Congo red are known to bind to cross-β sheets.82 If TE-8 binds to a different amino acid residue, it may not demonstrate strong colocalization with the antibody. The cause of the disagreement between the two experiments cannot be definitively assigned. Despite the differences observed in the brain staining experiments for the TE-8 ligand, the corresponding Mn2+ complex demonstrated a similar R correlation value to the ligand, consistent with the Ki experiments. Given that [Mn(TE-8)] exhibited favorable Ki binding properties and an adequate brain staining profile, further in vivo evaluation was justified.
Fig. 8. Histological staining of 11-month-old female 5xFAD mice with TE-8 and TE-9 and their corresponding Mn2+ complexes (shown in blue and green channels, respectively) and costaining with AF594 fluorescently labeled antibody HJ3.4 (red channel). [Compound] = 25 μM; [HJ3.4-AF594] = 1 μg mL−1. Scale bar: 125 μm.

In addition to in vitro Ki affinity assays and brain staining experiments, which can assess the affinity of newly developed bifunctional chelators for both fibrillar and native Aβ, several other properties are critical in determining whether compounds can penetrate the BBB, a highly restrictive interface that generally prevents the entry of compounds to protect the brain from neurotoxicity. Lipinski's Rule of 5, as well as other parameters such as topological surface area, plasma protein binding, and P-glycoprotein (P-gp) efflux susceptibility, often influence brain permeability.47 Key criteria from Lipinski's Rule of 5 include a molecular weight less than 500 Da and log D values between 1 and 3, both of which are considered desirable for brain penetration.47 To obtain log D, endpoint fluorescence readings were used as a readout in octanol-PBS partition experiments. Specifically, bifunctional chelators TE-7 through TE-11 were dissolved in a mixture of octanol and PBS, the tubes were vortexed and centrifuged, and the octanol layer was aliquoted into a 96-well plate. The remaining PBS layer was then back-extracted with octanol, and the logarithmic ratio of fluorescence between the two layers was calculated as the log D value. The log D values obtained for TE-7, TE-8, and TE-11 were promising (Table 6). However, when considering all other in vitro properties, TE-8 appears to be the most suitable candidate for in vivo evaluation.
Table 6. Summary of the molecular weights of all compounds evaluated in this study, as well as their log D values.
| Compound | Molecular weight (g mol−1) | log D |
|---|---|---|
| TE-7 | 600.7 | 0.99 ± 0.06 |
| TE-8 | 644.2 | 0.86 ± 0.02 |
| TE-9 | 567.2 | 0.70 ± 0.03 |
| TE-10 | 509.2 | 0.55 ± 0.03 |
| TE-11 | 523.2 | 1.55 ± 0.02 |
In vivo MRI imaging
Prior to in vivo experimentation, cell-based assays were conducted to confirm the absence of toxicity of the compounds in murine models. Control experiments using MnCl2 were performed in wild-type (WT) mice before evaluating the bifunctional compounds, and all in vivo MRI studies were performed on a 9.4 T scanner. Previous studies have demonstrated that MnCl2 typically enters the brain through the BBB or the blood-cerebrospinal fluid (CSF) barrier.83,84 Owing to the similar ionic radii of Mn2+ and Ca2+, Mn2+ generally enters neurons via voltage-gated calcium channels and accumulates in specific brain regions, such as the hippocampus and olfactory bulb.49,85 The present control studies corroborated these findings, as Mn2+ accumulation was observed in these regions, evidenced by contrast enhancement in the Cornu Ammonis (CA) of the hippocampal region (Fig. 9). Whole-body MRI scans revealed that intravenous injection of MnCl2 resulted in Mn2+ retention in multiple organs, including the heart, kidneys, liver, and intestines (Fig. S53). Analysis of normalized signal intensity graphs indicated a substantial increase in the signal-to-noise ratio (SNR) of MnCl2 uptake, with a fourfold increase in the kidney and a fivefold increase in the liver (Fig. S53). The high signal-to-noise ratio is likely attributable to MnCl2's ability to bind multiple water molecules, which enhances relaxation properties and increases MRI contrast. However, MnCl2 exhibits non-specific retention, limiting its suitability as an MRI agent due to a lack of specificity in excretion pathways. Previous studies examining the biodistribution of natural Mn2+ or 52Mn support these observations, indicating that Mn2+ accumulates in various organs and displays an unfavorable biodistribution profile. The development of MRI agents for brain imaging remains challenging because compounds must be sufficiently lipophilic to cross the BBB, yet greater lipophilicity often leads to partial excretion via the hepatobiliary route.
Fig. 9. (a) Axial MRI images of the mouse brain demonstrate contrast differences before and after intravenous MnCl2 administration, with enhanced contrast observed in the hippocampus. (b) Normalized brain signal intensity following intravenous MnCl2 injection was determined by delineating regions of interest (ROIs) in the brains of n = 3 mice, subtracting muscle signal intensity, and dividing by air signal intensity: (SI brain – SI muscle)/SI air. Error bars represent the standard deviation for n = 3 mice.

Based on the promising in vitro properties of [Mn(TE-8)], including high thermodynamic stability, robust kinetic inertness, appreciable relaxivity, and strong binding affinity toward Aβ42 fibrils, as well as the non-specific biodistribution of MnCl2, an in vivo evaluation of [Mn(TE-8)] was conducted. The Mn complex was formulated in 85% phosphate-buffered saline (PBS), 10% cremophor, and 5% dimethyl sulfoxide (DMSO), and administered intravenously to cohorts of wild-type and AD mice to assess brain uptake. Whole-body scans following [Mn(TE-8)] injection in wild-type mice demonstrated both renal and hepatobiliary excretion, as indicated by contrast enhancement in the kidneys and liver (Fig. 10). Normalized signal intensity plots showed that the signal-to-noise ratio (SNR) in the kidney and liver was lower than that observed with MnCl2, consistent with the reduced water binding capacity of chelated Mn due to fewer available coordination sites (Fig. 10). Despite this, contrast enhancement remained significant, and rapid clearance from the heart was observed (Fig. 10). This rapid cardiac clearance is advantageous because it suggests that the complex remains intact in murine models. Additionally, strong SNR uptake in the bladder indicates partial renal excretion of [Mn(TE-8)], which is favorable since renally excreted compounds are eliminated efficiently. Injection of [Mn(TE-8)] into a 5xFAD mouse resulted in contrast enhancement in the kidney and liver, similar to observations in WT mice, as demonstrated in the imaging data (Fig. S67). The normalized signal intensity graphs show elimination from the heart, indicating that [Mn(TE-8)] remains intact (Fig. S69).
Fig. 10. Axial MRI images of the mouse abdominal region following administration of 80 μmol kg−1 [Mn(TE-8)] demonstrate contrast enhancement in the liver and kidney, indicating mixed hepatobiliary and renal clearance. (a) Normalized signal intensity of the kidneys for [Mn(TE-8)] was calculated by drawing regions of interest (ROIs) on the kidneys of n = 3 wild-type (WT) mice, subtracting muscle signal intensity, and dividing by air signal intensity: (SI kidney – SI muscle)/SI air. Error bars indicate standard deviation for n = 3 mice. (b) Normalized signal intensity of the liver was calculated by drawing ROIs on the liver of n = 3 mice, subtracting muscle signal intensity, and dividing by air signal intensity: (SI liver – SI muscle)/SI air. Error bars indicate standard deviation for n = 3 mice. (c) Normalized signal intensity of the heart was calculated by drawing ROIs on the heart of n = 3 mice, subtracting muscle signal intensity, and dividing by air signal intensity: (SI heart – SI muscle)/SI air. (d) Normalized signal intensity of the bladder was calculated by drawing ROIs on the bladder of n = 3 mice, subtracting muscle signal intensity, and dividing by air signal intensity: (SI bladder – SI muscle)/SI air. Coronal MRI images of the mouse brain demonstrate contrast differences before and after intravenous [Mn(TE-8)] administration, with enhanced contrast observed in the brain. (e) Normalized brain signal intensity following intravenous [Mn(TE-8)] injection was determined by delineating regions of interest (ROIs) in the brains of n = 3 mice, subtracting muscle signal intensity, and dividing by air signal intensity: (SI brain – SI muscle)/SI air. Error bars represent the standard deviation for n = 3 mice.

Coronal MRI images of the brain following intravenous injection of [Mn(TE-8)] in n = 3 wild-type mice demonstrated brain uptake, as indicated by contrast enhancement (Fig. 10). Administration of [Mn(TE-8)] in a 5xFAD mouse produced comparable contrast enhancement, as demonstrated by MRI images and normalized brain signal intensity. Quantitative analysis within a delineated region of interest confirmed brain uptake following compound administration. This finding is promising, as this Mn2+ complex represents one of the first-generation compounds evaluated for this application.
Conclusions
In summary, we have designed and characterized a series of five bifunctional chelators that append a benzothiazolyl-phenolate amyloid-binding group to the diazapyridinophane macrocycle while retaining a second secondary amine for a tunable chelating arm. Rather than a single lead compound, the series yields a coherent set of structure–property relationships for the design of Mn2+ MRI contrast agents. Kinetic inertness toward Zn2+ tracked with denticity and with the nature of the donor arms, with the picolinate arms outperforming the picolyl arm, while N-methylation further improved inertness, such that [Mn(TE-8)] bearing a picolinate arm was the most inert complex in the series. Anionic donor arms rendered [Mn(TE-8)] and [Mn(TE-9)] neutral at physiological pH, which correlated with better retention of Aβ affinity upon metalation, consistent with reduced solvation favoring engagement of hydrophobic amyloid pockets. The benzothiazolyl–phenolate arm accelerated water exchange across the series, whereas [Mn(TE-11)] exhibited a slower exchange rate than the other compounds, which may be attributed to the presence of the methyl group. Guided by this profile, the [Mn(TE-8)] compound, which combines high Mn2+ affinity, the best kinetic inertness in the series, an appropriate log D and appreciable Aβ affinity, was employed in in vivo MRI studies at 9.4 T. Importantly, its behavior differs markedly from MnCl2: instead of non-specific organ accumulation, [Mn(TE-8)] shows mixed renal and hepatobiliary clearance and rapid cardiac washout, indicating the complex remains intact in circulation, and it produces measurable brain contrast enhancement. While brain enhancement did not differ significantly between wild-type and AD mice, we note that the relaxivity was measured at 1.4 T, while MRI studies were performed at 9.4 T, so the in vitro values should guide rather than quantitatively predict contrast at the in vivo imaging field. These results thus suggest [Mn(TE-8)] is a first-generation, BBB-permeable Mn2+ contrast agent that establishes the diazapyridinophane scaffold as a viable platform for amyloid-targeted MRI. The most promising next step is to increase amyloid affinity and inner-sphere water access simultaneously, for example by strengthening the Aβ-binding motif and adjusting the chelating arm to raise q without slowing the water exchange rate, to achieve an in vivo Aβ-specific enhancement that is directly relevant to AD diagnosis.
Conflicts of interest
A patent (PCT Patent Application No. PCT/US2025/046362, entitled “Pyridinophane Compounds and MRI Contrast Agents”, Inventors: Liviu M. Mirica and Tarek El Sayed, filing date: September 15, 2025) has been filed on the synthesis and MRI applications of the pyridinophane chelators and their Mn complexes. All authors declare no other competing interests.
Supplementary Material
Acknowledgments
We would like to thank the National Institutes of Health (RF1AG083937 to L. M. M.) for financial support for this project. We would also like to thank the facilities of the University of Illinois School of Chemical Sciences (SCS) for all their support. We thank Dr Danielle L. Gray and Dr Toby J. Woods for assistance with the data collection for the X-ray diffraction experiments. This work was conducted in part using the 9.4 T MRI seed grant provided by the Biomedical Imaging Center (BIC) of the Beckman Institute for Advanced Science and Technology at the University of Illinois Urbana-Champaign.
Data availability
Supplementary information (SI): synthetic procedures, spectroscopic studies, binding affinity studies, imaging studies, cytotoxicity studies, and crystallographic details. See DOI: https://doi.org/10.1039/d6qi01745b.
CCDC 2565696 and 2565697 contain the supplementary crystallographic data for this paper.86a,b
References
- Kamatham P. T. Shukla R. Khatri D. K. Vora L. K. Pathogenesis, diagnostics, and therapeutics for Alzheimer's disease: Breaking the memory barrier. Ageing Res. Rev. 2024;101:102481. doi: 10.1016/j.arr.2024.102481. [DOI] [PubMed] [Google Scholar]
- Tenchov R. Sasso J. M. Zhou Q. A. Alzheimer's Disease: Exploring the Landscape of Cognitive Decline. ACS Chem. Neurosci. 2024;15:3800–3827. doi: 10.1021/acschemneuro.4c00339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Safiri S. Ghaffari Jolfayi A. Fazlollahi A. Morsali S. Sarkesh A. Daei Sorkhabi A. Golabi B. Aletaha R. Motlagh Asghari K. Hamidi S. Mousavi S. E. Jamalkhani S. Karamzad N. Shamekh A. Mohammadinasab R. Sullman M. J. M. Şahin F. Kolahi A.-A. Alzheimer's disease: a comprehensive review of epidemiology, risk factors, symptoms diagnosis, management, caregiving, advanced treatments and associated challenges. Front. Med. 2024;11:1474043. doi: 10.3389/fmed.2024.1474043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Alzheimer’s Association 2024 Alzheimer’s disease facts and figures. Alzheimers Dement. 2024;20:3708–3821. doi: 10.1002/alz.13809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ahmadi S. Khaledi S. Ahmadi K. Hassanzadeh K. Amyloid Beta in Alzheimer's Disease: Mechanisms, Biomarker Potential, and Therapeutic Targets. CNS Neurosci. Ther. 2025;31:e70688. doi: 10.1002/cns.70688. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jurcău M. C. Andronie-Cioara F. L. Jurcău A. Marcu F. Ţiţ D. M. Paşcalău N. Nistor-Cseppentö D. C. The Link between Oxidative Stress, Mitochondrial Dysfunction and Neuroinflammation in the Pathophysiology of Alzheimer’s Disease: Therapeutic Implications and Future Perspectives. Antioxidants. 2022;11:2167. doi: 10.3390/antiox11112167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bai R. Guo J. Ye X.-Y. Xie Y. Xie T. Oxidative stress: The core pathogenesis and mechanism of Alzheimer's disease. Ageing Res. Rev. 2022;77:101619. doi: 10.1016/j.arr.2022.101619. [DOI] [PubMed] [Google Scholar]
- Selkoe D. J. Hardy J. The amyloid hypothesis of Alzheimer's disease at 25 years. EMBO Mol. Med. 2016;8:595–608. doi: 10.15252/emmm.201606210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Karran E. De Strooper B. The amyloid hypothesis in Alzheimer disease: new insights from new therapeutics. Nat. Rev. Drug Discovery. 2022;21:306–318. doi: 10.1038/s41573-022-00391-w. [DOI] [PubMed] [Google Scholar]
- Behl C. In 2024, the amyloid-cascade-hypothesis still remains a working hypothesis, no less but certainly no more. Front. Aging Neurosci. 2024;16:1459224. doi: 10.3389/fnagi.2024.1459224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vassar R. Citron M. Aβ-Generating Enzymes: Recent Advances in β- and γ-Secretase Research. Neuron. 2000;27:419–422. doi: 10.1016/S0896-6273(00)00051-9. [DOI] [PubMed] [Google Scholar]
- Zhang C. Browne A. Divito J. R. Stevenson J. A. Romano D. Dong Y. Xie Z. Tanzi R. E. Amyloid-β production via cleavage of amyloid-β protein precursor is modulated by cell density. J. Alzheimer’s Dis. 2010;22:683–694. doi: 10.3233/JAD-2010-100816. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Steiner H. Fukumori A. Tagami S. Okochi M. Making the final cut: pathogenic amyloid-β peptide generation by γ-secretase. Cell Stress. 2018;2:292–310. doi: 10.15698/cst2018.11.162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rani S. Dhar S. B. Khajuria A. Gupta D. Jaiswal P. K. Singla N. Kaur M. Singh G. Barnwal R. P. Advanced Overview of Biomarkers and Techniques for Early Diagnosis of Alzheimer's Disease. Cell. Mol. Neurobiol. 2023;43:2491–2523. doi: 10.1007/s10571-023-01330-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pokrzyk J. Kulczyńska-Przybik A. Guzik-Makaruk E. Winkel I. Mroczko B. Clinical Importance of Amyloid Beta Implication in the Detection and Treatment of Alzheimer's Disease. Int. J. Mol. Sci. 2025;26:1935. doi: 10.3390/ijms26051935. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tolar M. Hey J. Power A. Abushakra S. Neurotoxic Soluble Amyloid Oligomers Drive Alzheimer's Pathogenesis and Represent a Clinically Validated Target for Slowing Disease Progression. Int. J. Mol. Sci. 2021;22:6355. doi: 10.3390/ijms22126355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang Y. R. Liu R. T. The Toxicity and Polymorphism of β-Amyloid Oligomers. Int. J. Mol. Sci. 2020;21:4477. doi: 10.3390/ijms21124477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rauk A. Why is the amyloid beta peptide of Alzheimer's disease neurotoxic? Dalton Trans. 2008:1273–1282. doi: 10.1039/B718601K. [DOI] [PubMed] [Google Scholar]
- Lublin A. L. Gandy S. Amyloid-beta oligomers: possible roles as key neurotoxins in Alzheimer's Disease. Mt. Sinai J. Med. 2010;77:43–49. doi: 10.1002/msj.20160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Palmqvist S. Schöll M. Strandberg O. Mattsson N. Stomrud E. Zetterberg H. Blennow K. Landau S. Jagust W. Hansson O. Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity. Nat. Commun. 2017;8:1214. doi: 10.1038/s41467-017-01150-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hampel H. Hardy J. Blennow K. Chen C. Perry G. Kim S. H. Villemagne V. L. Aisen P. Vendruscolo M. Iwatsubo T. Masters C. L. Cho M. Lannfelt L. Cummings J. L. Vergallo A. The Amyloid-β Pathway in Alzheimer's Disease. Mol. Psychiatry. 2021;26:5481–5503. doi: 10.1038/s41380-021-01249-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bao Y.-W. Wang Z.-J. Shea Y.-F. Chiu P. K.-C. Kwan J. S. K. Chan F. H.-W. Mak H. K.-F. Combined Quantitative amyloid-β PET and Structural MRI Features Improve Alzheimer's Disease Classification in Random Forest Model - A Multicenter Study. Acad. Radiol. 2024;31:5154–5163. doi: 10.1016/j.acra.2024.06.040. [DOI] [PubMed] [Google Scholar]
- Teipel S. Gustafson D. Ossenkoppele R. Hansson O. Babiloni C. Wagner M. Riedel-Heller S. G. Kilimann I. Tang Y. Alzheimer Disease: Standard of Diagnosis, Treatment, Care, and Prevention. J. Nucl. Med. 2022;63:981–985. doi: 10.2967/jnumed.121.262239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen Y. Al-Nusaif M. Li S. Tan X. Yang H. Cai H. Le W. Progress on early diagnosing Alzheimer's disease. Front. Med. 2024;18:446–464. doi: 10.1007/s11684-023-1047-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang R. Peng S. Zhu J. Xu Y. Wang M. Zhang L. Qiu Y. Hou D. Wang Q. Liu R. Innovations in Alzheimer's disease diagnostic technologies: clinical prospects of novel biomarkers, multimodal integration, and non-invasive detection. Front. Neurol. 2025;16:1651708. doi: 10.3389/fneur.2025.1651708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cohen A. D. Rabinovici G. D. Mathis C. A. Jagust W. J. Klunk W. E. Ikonomovic M. D. Using Pittsburgh Compound B for in vivo PET imaging of fibrillar amyloid-beta. Adv. Pharmacol. 2012;64:27–81. doi: 10.1016/B978-0-12-394816-8.00002-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cohen A. D. Klunk W. E. Early detection of Alzheimer's disease using PiB and FDG PET. Neurobiol. Dis. 2014;72(Pt A):117–122. doi: 10.1016/j.nbd.2014.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morris J. C. Roe C. M. Grant E. A. Head D. Storandt M. Goate A. M. Fagan A. M. Holtzman D. M. Mintun M. A. Pittsburgh compound B imaging and prediction of progression from cognitive normality to symptomatic Alzheimer disease. Arch. Neurol. 2009;66:1469–1475. doi: 10.1001/archneurol.2009.269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shen C. Wang Z. Chen H. Bai Y. Li X. Liang D. Liu X. Zheng H. Wang M. Yang Y. Wang H. Sun T. Identifying Mild Alzheimer's Disease With First 30-Min 11C-PiB PET Scan. Front. Aging Neurosci. 2022;14:785495. doi: 10.3389/fnagi.2022.785495. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Alexoff D. Wong D. F. Kuwabara H. Dannals R. F. Ploessl K. Kung H. F. Head to head comparison of two PET/CT imaging agents, [(18)F]D3FSP ([(18)F]P16–129) and [(18)F]AV45, in patients with alzheimer's disease. EJNMMI Res. 2025;15:77. doi: 10.1186/s13550-025-01276-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gorelick P. B. Blood and Cerebrospinal Fluid Biomarkers in Vascular Dementia and Alzheimer’s Disease: A Brief Review. Clin. Geriatr. Med. 2023;39:67–76. doi: 10.1016/j.cger.2022.08.001. [DOI] [PubMed] [Google Scholar]
- Landau S. M. Thomas B. A. Thurfjell L. Schmidt M. Margolin R. Mintun M. Pontecorvo M. Baker S. L. Jagust W. J. Amyloid PET imaging in Alzheimer's disease: a comparison of three radiotracers. Eur. J. Nucl. Med. Mol. Imaging. 2014;41:1398–1407. doi: 10.1007/s00259-014-2753-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sharma A. K. Schultz J. W. Prior J. T. Rath N. P. Mirica L. M. Coordination Chemistry of Bifunctional Chemical Agents Designed for Applications in 64Cu PET Imaging for Alzheimer's Disease. Inorg. Chem. 2017;56:13801–13814. doi: 10.1021/acs.inorgchem.7b01883. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bandara N. Sharma A. K. Krieger S. Schultz J. W. Han B. H. Rogers B. E. Mirica L. M. Evaluation of 64Cu-based Radiopharmaceuticals That Target Aβ Peptide Aggregates as Diagnostic Tools for Alzheimer's Disease. J. Am. Chem. Soc. 2017;139:12550–12558. doi: 10.1021/jacs.7b05937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cho H.-J. Huynh T. T. Rogers B. E. Mirica L. M. Design of a multivalent bifunctional chelator for diagnostic (64)Cu PET imaging in Alzheimer's disease. Proc. Natl. Acad. Sci. U. S. A. 2020;117:30928–30933. doi: 10.1073/pnas.2014058117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang Y. Cho H.-J. Bandara N. Sun L. Tran D. Rogers B. E. Mirica L. M. Metal-chelating benzothiazole multifunctional compounds for the modulation and 64Cu PET imaging of Aβ aggregation. Chem. Sci. 2020;11:7789–7799. doi: 10.1039/D0SC02641G. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang Y. Huynh T. T. Cho H.-J. Wang Y.-C. Rogers B. E. Mirica L. M. Amyloid β-binding Bifunctional Chelators with Favorable Lipophilicity for 64Cu PET Imaging in Alzheimer's Disease. Inorg. Chem. 2021;60:12610–12620. doi: 10.1021/acs.inorgchem.1c02079. [DOI] [PubMed] [Google Scholar]
- Terpstra K. Wang Y. Huynh T. T. Bandara N. Cho H.-J. Rogers B. E. Mirica L. M. Divalent 2-(4-Hydroxyphenyl)benzothiazole Bifunctional Chelators for 64Cu Positron Emission Tomography Imaging in Alzheimer's Disease. Inorg. Chem. 2022;61:20326–20336. doi: 10.1021/acs.inorgchem.2c02740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rana M. Cho H.-J. Roy T. K. Mirica L. M. Sharma A. K. Azo-dyes based small bifunctional molecules for metal chelation and controlling amyloid formation. Inorg. Chim. Acta. 2018;471:419–429. doi: 10.1016/j.ica.2017.11.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cho H.-J. Sharma A. K. Zhang Y. Gross M. L. Mirica L. M. A Multifunctional Chemical Agent as an Attenuator of Amyloid Burden and Neuroinflammation in Alzheimer's Disease. ACS Chem. Neurosci. 2020;11:1471–1481. doi: 10.1021/acschemneuro.0c00114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sun L. Cho H.-J. Sen S. Arango A. S. Huynh T. T. Huang Y. Bandara N. Rogers B. E. Tajkhorshid E. Mirica L. M. Amphiphilic Distyrylbenzene Derivatives as Potential Therapeutic and Imaging Agents for Soluble and Insoluble Amyloid β Aggregates in Alzheimer's Disease. J. Am. Chem. Soc. 2021;143:10462–10476. doi: 10.1021/jacs.1c05470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yu Z. Guo W. Patel S. Cho H.-J. Sun L. Mirica L. M. Amphiphilic stilbene derivatives attenuate the neurotoxicity of soluble Aβ42 oligomers by controlling their interactions with cell membranes. Chem. Sci. 2022;13:12818–12830. doi: 10.1039/D2SC02654F. [DOI] [PMC free article] [PubMed] [Google Scholar]
- El Sayed T. Terpstra K. Whetter J. N. Xu K. Zhu L. Chakrabarti S. Marlin A. Wessel A. J. Majumdar S. Sutton B. P. Boros E. Mirica L. M. Pyridinophane Ligands: An Attractive Chelator Platform for Mn-Based Imaging Agents. J. Med. Chem. 2026;69:10448–10462. doi: 10.1021/acs.jmedchem.5c03597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu D. Chen Q. Chen X. Han F. Chen Z. Wang Y. The blood–brain barrier: Structure, regulation and drug delivery. Signal Transduction Targeted Ther. 2023;8:217. doi: 10.1038/s41392-023-01481-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ding L. Kshirsagar P. Agrawal P. Murry D. J. Crossing the Blood-Brain Barrier: Innovations in Receptor- and Transporter-Mediated Transcytosis Strategies. Pharmaceutics. 2025;17:706. doi: 10.3390/pharmaceutics17060706. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gupta H. K. Jangra J. Krishna Ramesh V. Mahindru I. Kumar R. Medicinal chemistry strategies to breach the blood–brain barrier: structural design principles for brain-targeted therapeutics. Drug Discovery Today. 2026;31:104673. doi: 10.1016/j.drudis.2026.104673. [DOI] [PubMed] [Google Scholar]
- Cornelissen F. M. G. Markert G. Deutsch G. Antonara M. Faaij N. Bartelink I. Noske D. Vandertop W. P. Bender A. Westerman B. A. Explaining Blood–Brain Barrier Permeability of Small Molecules by Integrated Analysis of Different Transport Mechanisms. J. Med. Chem. 2023;66:7253–7267. doi: 10.1021/acs.jmedchem.2c01824. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Banks W. A. Rhea E. M. Reed M. J. Erickson M. A. The penetration of therapeutics across the blood-brain barrier: Classic case studies and clinical implications. Cell Rep. Med. 2024;5:101760. doi: 10.1016/j.xcrm.2024.101760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Malheiros J. M. Paiva F. F. Longo B. M. Hamani C. Covolan L. Manganese-Enhanced MRI: Biological Applications in Neuroscience. Front. Neurol. 2015;6:161. doi: 10.3389/fneur.2015.00161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gallez B. Baudelet C. Adline J. Geurts M. Delzenne N. Accumulation of manganese in the brain of mice after intravenous injection of manganese-based contrast agents. Chem. Res. Toxicol. 1997;10:360–363. doi: 10.1021/tx960194p. [DOI] [PubMed] [Google Scholar]
- Yang J. Li Q. Manganese-Enhanced Magnetic Resonance Imaging: Application in Central Nervous System Diseases. Front. Neurol. 2020;11:143. doi: 10.3389/fneur.2020.00143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bedenk B. T. Almeida-Corrêa S. Jurik A. Dedic N. Grünecker B. Genewsky A. J. Kaltwasser S. F. Riebe C. J. Deussing J. M. Czisch M. Wotjak C. T. Mn2 + dynamics in manganese-enhanced MRI (MEMRI): Cav1.2 channel-mediated uptake and preferential accumulation in projection terminals. Neuroimage. 2018;169:374–382. doi: 10.1016/j.neuroimage.2017.12.054. [DOI] [PubMed] [Google Scholar]
- Haenold R. Herrmann K. H. Schmidt S. Reichenbach J. R. Schmidt K. F. Löwel S. Witte O. W. Weih F. Kretz A. Magnetic resonance imaging of the mouse visual pathway for studies of degeneration and regeneration in the CNS. Neuroimage. 2012;59:363–376. doi: 10.1016/j.neuroimage.2011.07.069. [DOI] [PubMed] [Google Scholar]
- Osanai M. Hikishima K. Onoe H. Editorial: Manganese-Enhanced MRI: A New Avenue of Functional and Structural Imaging in Neuroscience. Front. Neural Circuits. 2022;16:918500. doi: 10.3389/fncir.2022.918500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brewster 2nd J. T. Thiabaud G. D. Harvey P. Zafar H. Reuther J. F. Dell'Acqua S. Johnson R. M. Root H. D. Metola P. Jasanoff A. Casella L. Sessler J. L. Metallotexaphyrins as MRI-Active Catalytic Antioxidants for Neurodegenerative Disease: A Study on Alzheimer's Disease. Chem. 2020;6:703–724. doi: 10.1016/j.chempr.2019.12.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang Y., Ding C., Li C. and Wang X., Chapter Four – Advances in fluorescent probes for detection and imaging of amyloid-β peptides in Alzheimer's disease, in Advances in Clinical Chemistry, ed. G. S. Makowski, Elsevier, 2021, vol. 103, pp. 135–190 [DOI] [PubMed] [Google Scholar]
- Iyer R. R. Renteria C. A. Yang L. Sorrells J. E. Park J. Sun L. Yu Z. Huang Y. Marjanovic M. Mirica L. M. Boppart S. A. Tracking the binding of multi-functional fluorescent tags for Alzheimer's disease using quantitative multiphoton microscopy. J. Biophotonics. 2022;15:e202200105. doi: 10.1002/jbio.202200105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jun Y. W. Cho S. W. Jung J. Huh Y. Kim Y. Kim D. Ahn K. H. Frontiers in Probing Alzheimer's Disease Biomarkers with Fluorescent Small Molecules. ACS Cent. Sci. 2019;5:209–217. doi: 10.1021/acscentsci.8b00951. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Su D. Diao W. Li J. Pan L. Zhang X. Wu X. Mao W. Strategic Design of Amyloid-β Species Fluorescent Probes for Alzheimer's Disease. ACS Chem. Neurosci. 2022;13:540–551. doi: 10.1021/acschemneuro.1c00810. [DOI] [PubMed] [Google Scholar]
- Chen L. Xia Y. Li B. Gao J. Zhou X. Li X. Chen Z. Liu Y. Mao W. Zhang J. Chen L. Molecular rotor-based near-infrared fluorescent probes with large Stokes shift for ultra-fluorogenic Aβ and Alzheimer's disease imaging. Sens. Actuators, B. 2026;449:139065. doi: 10.1016/j.snb.2025.139065. [DOI] [Google Scholar]
- Chen J. Ding X. Guan D. Zhu S. Zhang X. Xie L. Zhou J. Zhang H. Design, Synthesis, and Performance Characterization of BODIPY-Based NIR Probes for Aβ42 Aggregate Detection. ChemPlusChem. 2026;91:e70196. doi: 10.1002/cplu.70196. [DOI] [PubMed] [Google Scholar]
- El Sayed T. Majumdar S. Sutton B. P. Mirica L. M. Mn(ii), MRI contrast agents supported by unsymmetric pyridinophane-picolinate ligands. J. Inorg. Biochem. 2026;283:113377. doi: 10.1016/j.jinorgbio.2026.113377. [DOI] [PubMed] [Google Scholar]
- Toàn N. M. Vágner A. Nagy G. Ország G. Nagy T. Csikos C. Váradi B. Sajtos G. Z. Kapus I. Szoboszlai Z. Szikra D. Trencsényi G. Tircsó G. Garai I. [52Mn]Mn-BPPA-Trastuzumab: A Promising HER2-Specific PET Radiotracer. J. Med. Chem. 2024;67:8261–8270. doi: 10.1021/acs.jmedchem.4c00344. [DOI] [PubMed] [Google Scholar]
- de Boer J. W. Browne W. R. Feringa B. L. Hage R. Carboxylate-bridged dinuclear manganese systems - From catalases to oxidation catalysis. C. R. Chim. 2007;10:341–354. doi: 10.1016/j.crci.2006.09.018. [DOI] [Google Scholar]
- Boros E. Comba P. Engle J. W. Harriswangler C. Lapi S. E. Lewis J. S. Mastroianni S. Mirica L. M. Platas-Iglesias C. Ramogida C. F. Tripier R. Tosato M. Chemical Tools to Characterize the Coordination Chemistry of Radionuclides for Radiopharmaceutical Applications. Chem. Rev. 2025;125:12030–12068. doi: 10.1021/acs.chemrev.5c00641. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Harvey T. K. Pota K. Mekhail M. M. Freire D. M. Agbaglo D. A. Janesko B. G. Green K. N. Predicting pKa of flexible polybasic tetra-aza macrocycles. RSC Adv. 2025;15:10663–10670. doi: 10.1039/D5RA01015B. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim W. D. Hrncir D. C. Kiefer G. E. Sherry A. D. Synthesis, Crystal-Structure, and Potentiometry of Pyridine-Containing Tetraaza Macrocyclic Ligands with Acetate Pendant Arms. Inorg. Chem. 1995;34:2225–2232. doi: 10.1021/ic00112a040. [DOI] [Google Scholar]
- El Ghachtouli S. Cadiou C. Déchamps-Olivier I. Chuburu F. Aplincourt M. Roisnel T. (Cyclen- and cyclam-pyridine)copper complexes: The role of the pyridine moiety in Cu(ii) and Cu(i) stabilisation. Eur. J. Inorg. Chem. 2006:3472–3481. doi: 10.1002/ejic.200600297. [DOI] [Google Scholar]
- Xu W. Cai Z. Carniato F. Lu Y. Ye X. Xiao X. Xu J. Mo G. Ding Y. Jian Y. Ruan X. Yan Z. Ye F. Platas-Iglesias C. Botta M. Dai L. Design of Mn(1,4-DO2A) derivatives as stable and inert contrast agents for magnetic resonance imaging. Commun. Chem. 2025;8:215. doi: 10.1038/s42004-025-01615-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Uzal-Varela R. Pérez-Fernández F. Valencia L. Rodríguez-Rodríguez A. Platas-Iglesias C. Caravan P. Esteban-Gómez D. Thermodynamic Stability of Mn(ii) Complexes with Aminocarboxylate Ligands Analyzed Using Structural Descriptors. Inorg. Chem. 2022;61:14173–14186. doi: 10.1021/acs.inorgchem.2c02364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gale E. M. Atanasova I. P. Blasi F. Ay I. Caravan P. A Manganese Alternative to Gadolinium for MRI Contrast. J. Am. Chem. Soc. 2015;137:15548–15557. doi: 10.1021/jacs.5b10748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dubois L. Xiang D.-F. Tan X.-S. Pécaut J. Jones P. Baudron S. Le Pape L. Latour J.-M. Baffert C. Chardon-Noblat S. Collomb M.-N. Deronzier A. Binuclear Manganese Compounds of Potential Biological Significance. 1. Syntheses and Structural, Magnetic, and Electrochemical Properties of Dimanganese(ii) and -(II,III) Complexes of a Bridging Unsymmetrical Phenolate Ligand. Inorg. Chem. 2003;42:750–760. doi: 10.1021/ic020354m. [DOI] [PubMed] [Google Scholar]
- Wieghardt K. The Active Sites in Manganese-Containing Metalloproteins and Inorganic Model Complexes. Angew. Chem., Int. Ed. Engl. 1989;28:1153–1172. doi: 10.1002/anie.198911531. [DOI] [Google Scholar]
- Christou G. Manganese carboxylate chemistry and its biological relevance. Acc. Chem. Res. 1989;22:328–335. doi: 10.1021/ar00165a006. [DOI] [Google Scholar]
- Gale E. M. Zhu J. Caravan P. Direct Measurement of the Mn(ii) Hydration State in Metal Complexes and Metalloproteins through 17O NMR Line Widths. J. Am. Chem. Soc. 2013;135:18600–18608. doi: 10.1021/ja4094132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dumas S. Jacques V. Sun W. C. Troughton J. S. Welch J. T. Chasse J. M. Schmitt-Willich H. Caravan P. High relaxivity magnetic resonance imaging contrast agents. Part 1. Impact of single donor atom substitution on relaxivity of serum albumin-bound gadolinium complexes. Invest. Radiol. 2010;45:600–612. doi: 10.1097/RLI.0b013e3181ee5a9e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bourhim M. Kruzel M. Srikrishnan T. Nicotera T. Linear quantitation of Abeta aggregation using Thioflavin T: reduction in fibril formation by colostrinin. J. Neurosci. Methods. 2007;160:264–268. doi: 10.1016/j.jneumeth.2006.09.013. [DOI] [PubMed] [Google Scholar]
- Biancalana M. Koide S. Molecular mechanism of Thioflavin-T binding to amyloid fibrils. Biochim. Biophys. Acta. 2010;1804:1405–1412. doi: 10.1016/j.bbapap.2010.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Peccati F. Pantaleone S. Riffet V. Solans-Monfort X. Contreras-García J. Guallar V. Sodupe M. Binding of Thioflavin T and Related Probes to Polymorphic Models of Amyloid-β Fibrils. J. Phys. Chem. B. 2017;121:8926–8934. doi: 10.1021/acs.jpcb.7b06675. [DOI] [PubMed] [Google Scholar]
- Esparza T. J. Zhao H. Cirrito J. R. Cairns N. J. Bateman R. J. Holtzman D. M. Brody D. L. Amyloid-β oligomerization in Alzheimer dementia versus high-pathology controls. Ann. Neurol. 2013;73:104–119. doi: 10.1002/ana.23748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wildburger N. C. Esparza T. J. LeDuc R. D. Fellers R. T. Thomas P. M. Cairns N. J. Kelleher N. L. Bateman R. J. Brody D. L. Diversity of Amyloid-beta Proteoforms in the Alzheimer's Disease Brain. Sci. Rep. 2017;7:9520. doi: 10.1038/s41598-017-10422-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Puchtler H. Sweat F. Congo red as a stain for fluorescence microscopy of amyloid. J. Histochem. Cytochem. 1965;13:693–694. doi: 10.1177/13.8.693. [DOI] [PubMed] [Google Scholar]
- Crossgrove J. S. Allen D. D. Bukaveckas B. L. Rhineheimer S. S. Yokel R. A. Manganese distribution across the blood-brain barrier. I. Evidence for carrier-mediated influx of managanese citrate as well as manganese and manganese transferrin. Neurotoxicology. 2003;24:3–13. doi: 10.1016/S0161-813X(02)00089-X. [DOI] [PubMed] [Google Scholar]
- Aschner M. Erikson K. M. Dorman D. C. Manganese Dosimetry: Species Differences and Implications for Neurotoxicity. Crit. Rev. Toxicol. 2005;35:1–32. doi: 10.1080/10408440590905920. [DOI] [PubMed] [Google Scholar]
- Inoue T. Majid T. Pautler R. G. Manganese enhanced MRI (MEMRI): neurophysiological applications. Rev. Neurosci. 2011;22:675–694. doi: 10.1515/RNS.2011.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- (a) CCDC 2565696: Experimental Crystal Structure Determination, 2026, 10.5517/ccdc.csd.cc2s3td4 [DOI]; (b) CCDC 2565697: Experimental Crystal Structure Determination, 2026, 10.5517/ccdc.csd.cc2s3tf5 [DOI]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
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Supplementary Materials
Data Availability Statement
Supplementary information (SI): synthetic procedures, spectroscopic studies, binding affinity studies, imaging studies, cytotoxicity studies, and crystallographic details. See DOI: https://doi.org/10.1039/d6qi01745b.
CCDC 2565696 and 2565697 contain the supplementary crystallographic data for this paper.86a,b
