Skip to main content
National Science Review logoLink to National Science Review
. 2023 Feb 16;10(4):nwad036. doi: 10.1093/nsr/nwad036

High-stability spherical lanthanide nanoclusters for magnetic resonance imaging

Hai-Ling Wang 1,c, Donglin Liu 2,c, Jian-Hua Jia 3, Jun-Liang Liu 4, Ze-Yu Ruan 5, Wei Deng 6, Shiping Yang 7,, Si-Guo Wu 8, Ming-Liang Tong 9,
PMCID: PMC10187785  PMID: 37200676

Abstract

High-nuclear lanthanide clusters have shown great potential for the administration of high-dose mononuclear gadolinium chelates in magnetic resonance imaging (MRI). The development of high-nuclear lanthanide clusters with excellent solubility and high stability in water or solution has been challenging and is very important for expanding the performance of MRI. We used N-methylbenzimidazole-2-methanol (HL) and LnCl3·6H2O to synthesize two spherical lanthanide clusters, Ln32 (Ln = Ho, Ho32; and Ln = Gd, Gd32), which are highly stable in solution. The 24 ligands L are all distributed on the periphery of Ln32 and tightly wrap the cluster core, ensuring that the cluster is stable. Notably, Ho32 can remain highly stable when bombarded with different ion source energies in HRESI-MS or immersed in an aqueous solution of different pH values for 24 h. The possible formation mechanism of Ho32 was proposed to be Ho(III), (L) and H2O → Ho3(L)3/Ho3(L)4 → Ho4(L)4/Ho4(L)5 → Ho6(L)6/Ho6(L)7 → Ho16(L)19 → Ho28(L)15 → Ho32(L)24/Ho32(L)21/Ho32(L)23. To the best of our knowledge, this is the first study of the assembly mechanism of spherical high-nuclear lanthanide clusters. Spherical cluster Gd32, a form of highly aggregated Gd(III), exhibits a high longitudinal relaxation rate (1 T, r1 = 265.87 mM−1·s−1). More notably, compared with the clinically used commercial material Gd-DTPA, Gd32 has a clearer and higher-contrast T1-weighted MRI effect in mice bearing 4T1 tumors. This is the first time that high-nuclear lanthanide clusters with high water stability have been utilized for MRI. High-nuclear Gd clusters containing highly aggregated Gd(III) at the molecular level have higher imaging contrast than traditional Gd chelates; thus, using large doses of traditional gadolinium contrast agents can be avoided.

Keywords: T1-weighted MRI, lanthanide clusters, high stability, low toxicity, assembly mechanism


Spherical cluster Gd32, which has highly aggregated Gd(III), exhibits a high longitudinal relaxation rate, and excellent T1-weighted MRI imaging effect in vivo and in vitro.

INTRODUCTION

In magnetic resonance imaging (MRI) or spin imaging, the electromagnetic waves generated by energy attenuation differences in different structural environments inside tissue are monitored by an external gradient magnetic field to form an image of the structure inside the tissue [1,2]. Because complex lesions, such as tumors, can be difficult to find and clearly visualize, it is usually necessary to use contrast agents (CAs) to enhance the MRI signal and improve diagnostic capability. The CAs indirectly change the signal intensity of the tissue through internal and external relaxation effects and the magnetic susceptibility effect to increase the difference in pixel intensity between the diseased tissue and the normal tissue [3–5]. Discrete mononuclear Gd(III) complexes (Gd-DTPA, Gd-DOTA, etc.) formed by Gd(III), which has a large magnetic moment and a long electron relaxation time, and poly(aminocarboxylate) chelators have been used as clinical MRI CAs [6]. These Gd(III) complexes mainly enhance tissue contrast in MRI by influencing and regulating the relaxation time of internal and external water protons [7–9]. Due to the low content of Gd(III), the CAs currently used in clinical practice usually require high doses to achieve effective contrast and resolution. However, the use of high-dose Gd(III)-based CAs has high toxicity that may induce many diseases, such as nephrogenic systemic fibrosis [1]. Effective solutions can be proposed based on the Solomon–Bloembergen–Morgan (SBM) paramagnetic relaxation theory: multiple single-nuclear or low-nuclear gadolinium complexes are connected through multicomponent integration to obtain CAs with high relaxation rate, high resolution and high contrast [10–12]. Although some progress has been made, the process is still limited to porous systems such as coordination molecular cages and metal-organic frameworks [13,14]. These systems have limited solubility, and it is difficult to keep them stabilized in body fluids for a long time. In addition, in recent years, iron-based and manganese-based complexes have been developed as CAs to replace gadolinium-based chelates, but their relaxation rate still needs to be improved, and the in vivo toxicity of these complexes is not clear [15–18]. Coordination-driven self-assembly provides an efficient method for the development of polynuclear Ln-assemblies with rigid structures, high molecular weight, intermediate sizes, and good solubilities, which all facilitate high relaxivity [13,14]. High-nuclear gadolinium clusters with superior solubility and biocompatibility can highly aggregate Gd(III) at the molecular level, which has attractive potential for MRI CAs [13]. Therefore, it is both challenging and important to develop high-nuclear gadolinium cluster aggregates to have water solubility and water stability for MRI uses.

The design and synthesis of high-nuclear lanthanide clusters with specific connections, attractive structures and rich functions have always received extensive attention [19]. To date, many different shapes and types of high-nuclear lanthanide clusters have been constructed by ligand hydrolysis and template methods [20–25], such as cage Gd140 [20], hamburger Dy76 [21], and tubular Dy72 [22], and they have been applied to single-molecule magnets, magnetocaloric effects and proton conduction fields [26–28]. Although considerable progress has been made, high-nuclear lanthanide clusters are still largely limited to the solid-state [29,30]. Although these solid-state properties are important, the solubility and stability of these clusters in solution are also important factors for the development of other functions, such as bioimaging, therapy and catalysis [31,32]. However, it is not easy to design and synthesize high-nuclear lanthanide clusters with high solubility and stability in solution [33]. Choosing appropriate ligands, wrapping the cluster cores during the self-assembly process and forming a protective effect opens up a new way for the design and synthesis of high-nuclear lanthanide clusters with high stability in solution.

Herein, we reacted N-methylbenzimidazole-2-methanol (HL) with LnCl3·6H2O under solvothermal conditions to obtain two spherical lanthanide nanoclusters, Ln32 (Ln = Ho, Ho32; and Ln = Gd, Gd32). In the Ln32 structure, the metal centers Ln(III) are all on the spherical surface and are connected with 6 μ4-O2 and 48 μ3-OH, and the ligands L are located on the outside of the sphere and tightly wrap the cluster core, thereby ensuring the stability of the cluster. HRESI-MS and PXRD jointly verified the stability of spherical cluster Ln32 in organic solvents and aqueous solutions. The assembly mechanism of Ho32 is proposed to be Ho(III), (L) and H2O → Ho3(L)3/Ho3(L)4 → Ho4(L)4/Ho4(L)5 → Ho6(L)6/Ho6(L)7 → Ho16(L)19 → Ho28(L)15 → Ho32(L)24/Ho32(L)21/Ho32(L)23. Cluster Gd32, which has a high longitudinal relaxation rate and low cytotoxicity, exhibits better MRI imaging contrast than Gd-DTPA at both the solution and cell levels (Scheme 1). The same doses (100 μL) of Gd32 and Gd-DTPA containing the same Gd(III) ion concentration (0.5 mM) were injected through the tail vein into BALB/c mice carrying the 4T1 tumor model. Notably, compared with Gd-DTPA, Gd32 results in clearer MRI imaging contrasts and has a greater ability to mark tumors (Scheme 1). In addition, Gd32 can be cleared from the body in a short time through the kidneys and liver. To the best of our knowledge, this is the first development of high-nuclear gadolinium nanoclusters with highly aggregated Gd(III) as MRI CAs, which effectively avoids the use of high-dose low-nuclear gadolinium chelates.

Scheme 1.

Scheme 1.

Spherical nanocluster Gd32 acts as a T1-weighted MRI CA for the diagnosis of tumors.

RESULTS AND DISCUSSION

Synthesis and structure analysis of Ln32 clusters (Ln = Ho and Gd)

The ligands HL and HoCl3·6H2O were allowed to react for 48 h in a closed reaction vessel under solvothermal conditions at 100°C and then placed in an open glass bottle at room temperature to volatilize for 12 h. Then, block orange crystals of Ho32 were obtained (Fig. S1). Single crystal X-ray diffraction (SCXRD) structure analysis shows that Ho32 crystallizes in the C2/c space group of the monoclinic crystal system, and it is a high-nuclear spherical cluster. Ho32 is composed of a +4 valent cation cluster and four free Cl ions on the periphery, and its molecular formula is [Ho32(L)24(μ3-OH)48(μ4-O)6Cl8](Cl)4·45H2O·5CH3OH·2CH3CN (Table S1). The cationic cluster contains 32 Ho(III) ions, 24 deprotonated ligands L, 48 μ3-OH ions formed by the removal of a proton from a water molecule, six μ4-O2 ions formed by the removal of two protons from water molecules, and eight Cl ions coordinated with end groups (Fig. 1a). It is worth noting that the metal center Ho(III) ions of Ho32 are all on the spherical surface, while the ligand L and the coordinated Cl ions are both on the outside of the spherical surface. The trigonal {Ln3(μ3-OH)} and square {Ln4(μ4-O)} with shared vertices together form the cluster core of Ho32 (Figs 1b, S2a and b). More notably, the peripheral ligand L tightly wraps the cluster core, further ensuring the stability of Ho32 (Fig. 1c and d). Ligand L is similar to amphiphilic surfactants. The hydrophilic terminal hydroxyl groups coordinate with the metal ions to form a cluster core, while the hydrophobic terminal benzimidazoles are located at the outermost periphery of the cluster, which ensures that the cluster has high stability and good solubility in water. Four eight-coordinated Ho1 and one seven-coordinated Ho2 together constitute the independent unit of Ho32, and the eight abovementioned independent units with shared vertices constitute Ho32 (Fig. 1e). In addition, we only changed the metal salt to GdCl3·6H2O and obtained the Gd32 homolog of Ho32 under the same conditions.

Figure 1.

Figure 1.

Molecular structure (a), core structure (b) and metal connection (c) of Ho32 (free Cl ions and solvent molecules have been omitted for clarity). (d) Space-filling mode of Ho32, in which all ligands protected the cluster core. (e) Simplified molecular structure diagram of Ho32, which contains Ho(III) ions in two different coordination environments.

Stability of Ln32 (Ln = Ho and Gd)

To explore the functions of a compound, the structure of that compound must be stable [33]. In recent years, HRESI-MS has been widely used to characterize the composition and changes of species in solution, and it has been used to detect the structural stability, fragmentation mechanism, and degree of protonation of clusters [25,33]. The fragment peaks of the Ho32 single crystal mass spectrum mainly appear in the range of m/z = 1500–3500, and the valence states shown are +3, +4 and +5 (Figs 2a, S8 and S9 and Table S6). Notably, the above molecular ion peaks with different valences are all generated by the main frame Ho32, which can be attributed to [Ho32Lx(O)y(OH)z(solv.)]3+ (x = 20 or 21; y = 6; z = 48; solv. = CH3OH, CH3CN and H2O); [Ho32Lx(O)y(OH)z(solv.)]4+ (x = 21 or 22; y = 6; z = 48; solv. = CH3OH, CH3CN and H2O) and [Ho32Lx(O)y(OH)z(solv.)]5+ (x = 22; y = 6; z = 48; solv. = CH3CN, H2O). As the ion-source voltage gradually increased from 0 eV to 65 eV, Ho32 exhibited only molecular ion peaks ([Ho32(L)22(OH)48(O)6(Cl)11(H+)2(H2O)]5+, m/z = 1983.35 and [Ho32(L)21(OH)48(O)6(Cl)13(H+)2(CH3CN)3(CH3OH)(H2O)]4+, m/z = 2478.69) that coincided with its framework, indicating that it maintained high stability (Fig. S10 and Table S7). Overall, the HRESI-MS test with the Ho32 crystal under different energies showed that the crystal has very high stability in solution. Likewise, HRESI-MS indicated that Gd32 has high stability in solution (Figs S11 and S12 and Table S8). To verify the water stability of the giant spherical clusters of Ho32, they were immersed in aqueous solutions of different pH values (1–14) for 24 h and underwent PXRD testing. It is worth noting that Ho32 remains stable in aqueous solutions with different pH values (Fig. 2b). In the Ho32 structure, 24 ligands L wrapped the cluster core and formed a dense protective layer. In addition, 48 μ3-OH and 6 μ4-O2 are tightly connected to the metal center through bridging, leading to a highly stable cluster core. When Ho32 is attacked by solvent molecules such as H2O, the amphiphilic ligand L (which is similar to surfactants) can effectively resist the attack of solvent molecules through weak supramolecular effects such as hydrogen bonds (Fig. 2c and S13).

Figure 2.

Figure 2.

(a) HRESI-MS spectra of Ho32 in DMF at different ion source voltages (in-source CID). (b) Comparison of the PXRD observation value and its simulated value after Ho32 was immersed in solutions of different pH values for 24 h. (c) The ligands formed a protective layer through hydrogen bonding to prevent H2O from attacking the cluster core (the dotted line represents the hydrogen bond).

Assembly mechanism of Ho32

HRESI-MS was used to quickly detect the types of molecular ion peaks and their abundance changes in the reaction solution at different time periods to speculate on the most likely self-assembly mechanism of the high-nuclear spherical cluster Ho32 (Figs 3a, b and S14, Table S9). Figure 3b shows the time-dependent change trend of the species in the solution during the self-assembly process of Ho32. The initial step of the reaction is the combination of Ho(III) ions with the deprotonated ligand (L), and Ho3(L)3/Ho3(L)4 (Ho3) are formed by the bridge of μ3-OH and μ4-O2 formed with H2O. As the self-assembly progresses, Ho3(L)3/Ho3(L)4 continuously and rapidly combines with Ho(III) ions and Cl ions to form intermediates Ho4(L)4/Ho4(L)5 (Ho4) and Ho6(L)6/Ho6(L)7 (Ho6), respectively. Then, Ho6(L)4 is connected with two Ho4(L)4 molecules through a μ3-OH bridge, and the periphery is again combined with Ho(III) ions and Cl ions to form the intermediate Ho16(L)12 (Ho16). Ho16(L)12 is connected to two molecules of Ho4(L)4 through a μ3-OH bridge and further combines four molecules of Ho(III) ions and Cl ions to form Ho28(L)20. Finally, the apex of Ho28(L)20 is connected to Ho4(L)4 through a μ3-OH bridge to form a highly symmetric cluster Ho32(L)24 (Ho32). Notably, Ho32 is formed by stepwise assembly and template assembly, and Ho4(L)4 is the template for the self-assembly process. Overall, the possible self-assembly mechanism of Ho32 is Ho(III), (L) and H2O → Ho3(L)3/Ho3(L)4 → Ho4(L)4/Ho4(L)5 → Ho6(L)6/Ho6(L)7 → Ho16(L)19 → Ho28(L)15 → Ho32(L)24/Ho32(L)21/Ho32(L)23 (Fig. 3c).

Figure 3.

Figure 3.

(a) Time-dependent HRESI-MS tracking the formation of Ho32. (b) HRESI-MS spectra intensity-time profiles of the species. (c) The possible Ho32 assembly mechanism.

In vitro relaxivity and MRI performance of Gd32

As one of the most established medical imaging techniques, MRI has received great attention [1–7]. The design and synthesis of CAs is essential for obtaining high-resolution and high imaging contrasts. At present, the most commonly used T1-weighted MRI CAs in clinical practice are gadolinium-based organic chelates, which usually require higher doses to obtain excellent imaging contrasts [13,14]. High-nuclear gadolinium clusters can be highly enriched in Gd(III) in the molecule, so they have great potential for T1-weighted MRI CAs. To explore the feasibility of Gd32 as a T1-weighted MRI CA, the relaxation time with Gd(III) concentration changes was tested at magnetic field strengths of 1 T and 3 T, and the longitudinal (r1) and transverse (r2) relaxation efficiencies were obtained. The results show that the r1 and r2 values of Gd32 are 265.87 and 324.96 mM−1·s−1 at a 1 T magnetic field strength and 250.40 and 306.90 mM−1·s−1 at a 3 T magnetic field strength, respectively (Fig. 4a). Cluster Gd32 with highly aggregated Gd(III) shows a higher relaxation value than traditional Gd chelates; r2/r1 = 1.22 (r2/r1 < 2) indicates that Gd32 is a potential candidate for T1-weighted MRI CAs [16]. As the Gd(III) concentration of Gd32 in the aqueous solution gradually increases, the T1-weighted image gradually becomes brighter with a 1 T magnetic field, and the brightening effect is more obvious with a 3 T magnetic field. In addition, the T1-weighted pseudo color images displayed by different concentrations of Gd32 at 1 T and 3 T both indicate that it has encouraging potential as an MRI CA for biomedical diagnosis (Fig. 4b and c). Cluster Gd32 has a good T1 imaging effect not only in solution but also in cells. Figure 4d shows that as the concentration increased from 0 μM to 23 μM, the T1-weighted MRI contrast of Gd32 and Gd-DTPA on 4T1 cells both increased. However, when the coincubation time was 12 h, 24 h and 48 h, Gd32 showed a better T1-weighted MR imaging effect than Gd-DTPA. Similar results have also been confirmed at a 3 T magnetic field (Fig. 4e). The above data all illustrate the excellent T1 imaging ability of the high-nuclear gadolinium cluster (Gd32) because the molecule can become highly enriched in Gd(III). The large cavity and strong hydrogen bonding with H2O lead to the ultrahigh T1 relaxivity of Gd32 (Fig. S15). The parameters obtained from the NMRD fitting results support the high relaxivity of Gd32 (Fig. S16 and Table S10). UV−Vis absorption spectroscopy demonstrated that Gd32 maintained high stability in PBS, serum (FBS), cell culture medium (DMEM) and PBS solution containing endogenous metal ions (Ca2+, Mg2+, Fe3+, Zn2+, etc.) (Figs S17 and S18). In addition, Gd32 exhibits very low cytotoxicity compared with that of cisplatin, and Gd32 can be cleared by the kidney and liver in a short time in mice, which indicates its potential for application in the field of biomedical imaging (Figs S19–S22).

Figure 4.

Figure 4.

(a) The r1 and r2 relaxivities of Gd32 and Gd-DTPA solutions containing the same Gd(III) ion concentrations at 1 T and 3 T magnetic fields. Corresponding T1-weighted MR imaging of Gd(III) ions (Gd32 and Gd-DTPA) at 1 T (b) and 3 T (c). T1-weighted MR imaging of Gd(III) ions (Gd32 and Gd-DTPA) incubated with 4T1 cells for different times at 1 T (d) and 3 T (e).

In vivo tumor MRI performance and biodistribution of Gd32

To evaluate the effects of Gd32 on the MRI of CAs in animal models, we constructed BALB/c mice carrying 4T1 tumors for in vivo MRI experiments (Fig. 5). The cluster Gd32 was injected into the experimental mice through the tail vein (100 μL, 0.5 mM Gd(III) ions). As shown in Fig. 5a, from 0 h to 12 h, continuous enhancement of T1 imaging contrast at the tumor site was observed, indicating that Gd32 can be effectively enriched at the tumor site. It can be seen from the relative MR signal value of the tumor that at 4 h, Gd32 had high enrichment at the tumor site, exhibiting a good T1 imaging effect. Unlike other small-particle contrast agents that are easily metabolized, Gd32 can still achieve good contrast effects 8 h after injection, and the best contrast effects are achieved at 12 h. The signal of the tumor site at 12 h reached 1.49 times the tumor signal of the blank (Fig. 5d). More notably, after injecting Gd32 into BALB/c mice bearing 4T1 tumors, the boundaries of tumors can be well distinguished, which is helpful for the subsequent diagnosis of tumors in mice. In addition, as time further increased to 24 h, the T1 imaging signal of Gd32 gradually weakened, indicating that it can be rapidly and effectively metabolized. To compare the MRI effects of Gd32 and the clinically used CA Gd-DTPA, the same dose of Gd-DTPA was injected intravenously into BALB/c mice bearing 4T1 tumors under the same conditions. As the time increased from 0 h to 2 h, the T1 imaging effect of Gd-DTPA at the tumor site gradually increased, and the best T1 imaging effect was achieved at 2 h (Fig. 5c); however, at 2 h, the signal at the tumor site was only 1.17 times the tumor signal in the blank (Fig. 5d). The above data show that under the condition of the same extremely small dose of CAs, Gd32 shows a far better T1-weighted MRI imaging effect than Gd-DTPA. Similar results appeared in 3 T MRI (Fig. S23). Excellent MRI CAs can be effectively and rapidly metabolized, which prevents the toxicity and enrichment of heavy metal ions in living bodies. Therefore, we explored the metabolism and biodistribution of Gd32 in mice. After injecting Gd32 through the tail vein, T1-weighted MRI images of the mouse kidney and liver were collected at different time points (0, 4, 8, 12 and 24 h) (Fig. 5a and b). As shown in Fig. 5a, as the injection time increased from 0 h to 12 h, the enrichment of Gd32 in the kidney gradually increased, and the yellow−green color gradually increased also. It is worth noting that the T1-weighted MRI image of Gd32 on the kidney gradually weakened after the injection time was further increased to 24 h, indicating that it was gradually metabolized. In addition, monitoring the intensity changes in MRI images of the liver of mice after injection of Gd32 at different time points obtained similar results, which shows that the liver can also metabolize part of Gd32. In general, the content of Gd32 in the kidneys of mice is higher than that in the liver, indicating that ultrasmall Gd32 is mainly eliminated by the kidney (Fig. 5e) [34]. Although Gd32 with high positive charge that is diluted by mouse body fluids and easily combined with negatively charged biological macromolecules in the body, resulting in in vivo imaging effects that are not as good as those of solutions, there are still obvious T1 imaging effects in vivo. The above results indicate that Gd32 is an ideal candidate for MRI CAs and has great application prospects in clinical tumor diagnosis. In addition, high-nuclear Gd clusters with highly aggregated Gd(III) at the molecular level have higher imaging contrast than traditional Gd chelates, which effectively prevents the need to use large doses of traditional CAs.

Figure 5.

Figure 5.

MR imaging in vivo at 1 T: after injecting Gd32 (a) and the commercial CA Gd-DTPA (c) into BALB/c mice that received 4T1 tumor cells through the tail vein to establish a tumor model, MRI images of the mice at different time points were obtained. The circular frame indicates the tumor site, and the rectangular frame indicates the kidney site. (b) The distribution of Gd32 in the liver (oval frame). (d) The relative MR signal values of tumors at different time points in mice injected with Gd32 and Gd-DTPA. (e) The relative MR-signal value of the kidney and liver at different time points in a mouse injected with Gd32.

CONCLUSIONS

In summary, we report two spherical high-nucleus lanthanide nanoclusters with high stability in solution. Crystallography, HRESI-MS and PXRD jointly confirmed the high stability of Ho32 under solution conditions. Time-dependent HRESI-MS tracked the formation process of Ho32, a variety of different types of intermediates were screened, and the gradual assembly formation mechanism of spherical clusters was proposed for the first time. The excellent water solubility and water stability of Gd32 prompted us to explore its potential applications in the field of biomedicine. Notably, Gd32, a nanocluster with low toxicity, high biocompatibility, and a high relaxation rate, shows excellent T1-weighted MRI effects at the cell and animal levels. The gadolinium-based nanocluster Gd32 with highly aggregated Gd(III) has significantly better MRI imaging contrast than the clinically used commercial CA Gd-DTPA, which effectively prevents the need to use a large dose of traditional gadolinium contrast agents. To the best of our knowledge, this is the first study to explore the application of high-nuclear lanthanide clusters in the field of MRI. This work provides a detailed example of the construction of lanthanide clusters with high stability and high water solubility. In addition, this work also opens a door to study the performance of lanthanide clusters in solution.

MATERIALS AND METHODS

Synthesis of Ln32

A mixture of HL (0.1 mmol, 148 mg), HoCl3⋅6H2O (0.5 mmol, 189.7 mg) and 250 μL TEA was dissolved in 5 mL MeOH and 5 mL MeCN. Then, the solution was stirred for 0.5 h. Next, the solution was transferred to a Teflon container in a stainless-steel bomb and kept at 100°C in the oven for 48 h. The solution was then filtered and allowed to stand until evaporation. Yellow crystals of Ho32 were collected (yield, 35 mg, 23.6% based on ligand HL). The synthetic method of Gd32 is the same as that of Ho32, only changing HoCl3⋅6H2O to GdCl3⋅6H2O. Yellow crystals were collected (yield, 25 mg, 16.9% based on ligand HL).

Supplementary Material

nwad036_Supplemental_File

ACKNOWLEDGEMENTS

The authors thank Dr. Cai-Ping Tan of Sun Yat-sen University for advice.

Contributor Information

Hai-Ling Wang, Key Laboratory of Bioinorganic and Synthetic Chemistry of Ministry of Education, School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China.

Donglin Liu, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China.

Jian-Hua Jia, Key Laboratory of Bioinorganic and Synthetic Chemistry of Ministry of Education, School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China.

Jun-Liang Liu, Key Laboratory of Bioinorganic and Synthetic Chemistry of Ministry of Education, School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China.

Ze-Yu Ruan, Key Laboratory of Bioinorganic and Synthetic Chemistry of Ministry of Education, School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China.

Wei Deng, Key Laboratory of Bioinorganic and Synthetic Chemistry of Ministry of Education, School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China.

Shiping Yang, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China.

Si-Guo Wu, Key Laboratory of Bioinorganic and Synthetic Chemistry of Ministry of Education, School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China.

Ming-Liang Tong, Key Laboratory of Bioinorganic and Synthetic Chemistry of Ministry of Education, School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China.

FUNDING

This work was supported by the National Key Research and Development Program of China (2018YFA0306001), the National Natural Science Foundation of China (22131011, 91959105 and 21821003) and the Pearl River Talent Plan of Guangdong (2017BT01C161).

AUTHOR CONTRIBUTIONS

M.L.T. designed and supervised the research. H.L.W. synthesized the compounds. H.L.W. and D.L.L. planned and executed the test of structure composition, stability, assembly process and MRI imaging and analyzed the resulting data. J.H.J. and J.L.L. provided suggestions for the writing of the manuscript. J.L.L., Z.Y.R., W.D. and S.G.W. carried out the X-ray single-crystal structure analyses. H.L.W., D.L.L., S.P.Y. and M.L.T. wrote the manuscript. All authors discussed the results and commented on the manuscript.

Conflict of interest statement. None declared.

REFERENCES

  • 1. Terreno E, Castelli DD, Viale Aet al. Challenges for molecular magnetic resonance imaging. Chem Rev 2010; 110: 3019–42. 10.1021/cr100025t [DOI] [PubMed] [Google Scholar]
  • 2. Wahsner J, Gale EM, Rodríguez-Rodríguez Aet al. Chemistry of MRI contrast agents: current challenges and new frontiers. Chem Rev 2019; 119: 957–1057. 10.1021/acs.chemrev.8b00363 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Ni D, Bu W, Ehlerding EBet al. Engineering of inorganic nanoparticles as magnetic resonance imaging contrast agents. Chem Soc Rev 2017; 46: 7438–68. 10.1039/C7CS00316A [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Bottrill M, Kwok L, Long NJ. Lanthanides in magnetic resonance imaging. Chem Soc Rev 2006; 35: 557–71. 10.1039/b516376p [DOI] [PubMed] [Google Scholar]
  • 5. Viswanathan S, Kovacs Z, Green KNet al. Alternatives to gadolinium-based metal chelates for magnetic resonance imaging. Chem Rev 2010; 110: 2960–3018. 10.1021/cr900284a [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Caravan P, Ellison JJ, McMurry TJet al. Gadolinium(III) chelates as MRI contrast agents: structure, dynamics, and applications. Chem Rev 1999; 99: 2293–352. 10.1021/cr980440x [DOI] [PubMed] [Google Scholar]
  • 7. Debroye E, Parac-Vogt TN. Towards polymetallic lanthanide complexes as dual contrast agents for magnetic resonance and optical imaging. Chem Soc Rev 2014; 43: 8178–92. 10.1039/C4CS00201F [DOI] [PubMed] [Google Scholar]
  • 8. Li H, Meade TJ. Molecular magnetic resonance imaging with Gd(III)-based contrast agents: challenges and key advances. J Am Chem Soc 2019; 141: 17025–41. 10.1021/jacs.9b09149 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Sun C, Lin H, Gong Xet al. DOTA-branched organic frameworks as giant and potent metal chelators. J Am Chem Soc 2020; 142: 198–206. 10.1021/jacs.9b09269 [DOI] [PubMed] [Google Scholar]
  • 10. Verwilst P, Park S, Yoon Bet al. Recent advances in Gd-chelate based bimodal optical/MRI contrast agents. Chem Soc Rev 2015; 44: 1791–806. 10.1039/C4CS00336E [DOI] [PubMed] [Google Scholar]
  • 11. Caravan P. Strategies for increasing the sensitivity of gadolinium based MRI contrast agents. Chem Soc Rev 2006; 35: 512–23. 10.1039/b510982p [DOI] [PubMed] [Google Scholar]
  • 12. He C, Wu X, Kong Jet al. A hexanuclear gadolinium–organic octahedron as a sensitive MRI contrast agent for selectively imaging glucosamine in aqueous media. Chem Commun 2012; 48: 9290–2. 10.1039/c2cc33177b [DOI] [PubMed] [Google Scholar]
  • 13. Wang Z, He L, Liu Bet al. Coordination-assembled water-soluble anionic lanthanide organic polyhedra for luminescent labeling and magnetic resonance imaging. J Am Chem Soc 2020; 142: 16409–19. 10.1021/jacs.0c07514 [DOI] [PubMed] [Google Scholar]
  • 14. Zhang SY, Wang ZY, Gao Jet al. A gadolinium(III) zeolite-like metal-organic-framework-based magnetic resonance thermometer. Chem 2019; 5: 1609–18. 10.1016/j.chempr.2019.04.010 [DOI] [Google Scholar]
  • 15. Sedgwick AC, Brewster JT, Harvey Pet al. Metal-based imaging agents: progress towards interrogating neurodegenerative disease. Chem Soc Rev 2020; 49: 2886–915. 10.1039/C8CS00986D [DOI] [PubMed] [Google Scholar]
  • 16. Wang R, An L, He Jet al. A class of water-soluble Fe(III) coordination complexes as T1-weighted MRI contrast agents. J Mater Chem B 2021; 9: 1787–91. 10.1039/D0TB02716B [DOI] [PubMed] [Google Scholar]
  • 17. Zhang P, Hou Y, Zeng Jet al. Coordinatively unsaturated Fe3+ based activatable probes for enhanced MRI and therapy of tumors. Angew Chem Int Ed 2019; 131: 11205–13. 10.1002/ange.201904880 [DOI] [PubMed] [Google Scholar]
  • 18. Anbu S, Hoffmann SL, Carniato Fet al. A single-pot template reaction towards a manganese-based T1 contrast agent. Angew Chem Int Ed 2021; 60: 10736–44. 10.1002/anie.202100885 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Zheng XY, Xie J, Kong XJet al. Recent advances in the assembly of high-nuclearity lanthanide clusters. Coord Chem Rev 2019; 378: 222–36. 10.1016/j.ccr.2017.10.023 [DOI] [Google Scholar]
  • 20. Zheng XY, Jiang YH, Zhuang GLet al. A gigantic molecular wheel of {Gd140}: a new member of the molecular wheel family. J Am Chem Soc 2017; 139: 18178–81. 10.1021/jacs.7b11112 [DOI] [PubMed] [Google Scholar]
  • 21. Li XY, Su HF, Li QWet al. A giant Dy76 cluster: a new fused bi-nanopillar structural model in lanthanide clusters. Angew Chem Int Ed 2019; 58: 10184–8. 10.1002/anie.201903817 [DOI] [PubMed] [Google Scholar]
  • 22. Qin L, Yu YZ, Liao PQet al. A “molecular water pipe”: a giant tubular cluster {Dy72} exhibits fast proton transport and slow magnetic relaxation. Adv Mater 2016; 28: 10772–9. 10.1002/adma.201603381 [DOI] [PubMed] [Google Scholar]
  • 23. Luo XM, Hu ZB, Lin Qet al. Exploring the performance improvement of magnetocaloric effect based Gd-exclusive cluster Gd60. J Am Chem Soc 2018; 140: 11219–22. 10.1021/jacs.8b07841 [DOI] [PubMed] [Google Scholar]
  • 24. Guo F, Chen Y, Mao Let al. Anion-templated assembly and magnetocaloric properties of a nanoscale {Gd38} cage versus a {Gd48} barrel. Chem Eur J 2013; 19: 14876–85. 10.1002/chem.201302093 [DOI] [PubMed] [Google Scholar]
  • 25. Luo ZR, Wang HL, Zhu ZHet al. Assembly of Dy60 and Dy30 cage-shaped nanoclusters. Commun Chem 2020; 3: 30–9. 10.1038/s42004-020-0276-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Zhang P, Guo YN, Tang J. Recent advances in dysprosium-based single molecule magnets: structural overview and synthetic strategies. Coord Chem Rev 2013; 257: 1728–63. 10.1016/j.ccr.2013.01.012 [DOI] [Google Scholar]
  • 27. Liu JL, Chen YC, Guo FSet al. Recent advances in the design of magnetic molecules for use as cryogenic magnetic coolants. Coord Chem Rev 2014; 281: 26–49. 10.1016/j.ccr.2014.08.013 [DOI] [Google Scholar]
  • 28. Jia JH, Li QW, Chen YCet al. Luminescent single-molecule magnets based on lanthanides: design strategies, recent advances and magneto-luminescent studies. Coord Chem Rev 2019; 378: 365–81. 10.1016/j.ccr.2017.11.012 [DOI] [Google Scholar]
  • 29. Gálico DA, Kitos AA, Ovens JSet al. Lanthanide-based molecular cluster-aggregates: optical barcoding and white-light emission with nanosized {Ln20} compounds. Angew Chem Int Ed 2021; 60: 6130–6. 10.1002/anie.202013867 [DOI] [PubMed] [Google Scholar]
  • 30. Gálico DA, Ovens JS, Sigoli FAet al. Room-temperature upconversion in a nanosized {Ln15} molecular cluster-aggregate. ACS Nano 2021; 15: 5580–5. 10.1021/acsnano.1c00580 [DOI] [PubMed] [Google Scholar]
  • 31. Dong J, Cui P, Shi PFet al. Ultrastrong alkali-resisting lanthanide-zeolites assembled by [Ln60] nanocages. J Am Chem Soc 2015; 137: 15988–91. 10.1021/jacs.5b10000 [DOI] [PubMed] [Google Scholar]
  • 32. Chen R, Yan Z, Kong XJet al. Integration of lanthanide–transition-metal clusters onto CdS surfaces for photocatalytic hydrogen evolution. Angew Chem Int Ed 2018; 57: 16796–800. 10.1002/anie.201811211 [DOI] [PubMed] [Google Scholar]
  • 33. Zeng MH, Yin Z, Liu ZHet al. Assembly of a highly stable luminescent Zn5 cluster and application to bio-imaging. Angew Chem Int Ed 2016; 55: 11407–11. 10.1002/anie.201604813 [DOI] [PubMed] [Google Scholar]
  • 34. Du B, Jiang X, Das Aet al. Glomerular barrier behaves as an atomically precise bandpass filter in a sub-nanometre regime. Nat Nanotechnol 2017; 12: 1096–102. 10.1038/nnano.2017.170 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

nwad036_Supplemental_File

Articles from National Science Review are provided here courtesy of Oxford University Press

RESOURCES