journal article·2025-06

Homocysteine‐Responsive Covalent Organic Frameworks as Signaling Scaffolds: Modulating Transsulfuration for Depression Treatment

Jialu Zhuang, Hao Zhang, Danyou Hu, Tao Meng, Hongwei Chen, Hua Wang, Guiyang Zhang

Small· Volume 21· Issue 23
Publisher page

Abstract

Abstract Depression is a significant global health concern with limited effective treatment strategies to date. Elevated homocysteine is identified as a critical factor contributing to the severity of depression by aggravating neuroinflammation. Herein, this study develops a diverse array of homocysteine‐stimulated responsive covalent organic frameworks (COFs) as novel therapeutic agents. Using Schiff‐base condensation reactions between cystamine/selenocystamine and various C2‐ and C3‐symmetric aryl aldehydes, it successfully synthesized a library of 20 COFs. The sensitivity and specificity of the resultant COFs for homocysteine clearance are validated using serum samples from patients with depression and a mouse model. Non‐targeted metabolomics and transcriptomics analyses revealed that these COFs not only exogenously and directly scavenge homocysteine but also synergistically enhance the transsulfuration pathway within the endogenous metabolic cycle for efficient clearance. Furthermore, these COFs mitigated neuroinflammation by inhibiting inflammatory responses, scavenging reactive oxygen species, and modulating neuronal and microglial activity. They also activated neuroactive ligand‐receptor signaling pathways and preserved mitochondrial function, thereby maintaining oxidative phosphorylation. Collectively, these mechanisms resulted in significant improvements in anxiety and depressive behaviors in mice. This study pioneers the therapeutic application of homocysteine‐responsive COFs for depression treatment, opening up tremendous opportunities for the biomedical applications of COFs.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Covalent Organic Framework Applications · Tryptophan and brain disorders · Neuroinflammation and Neurodegeneration Mechanisms

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Oncology The First Affiliated Hospital of Anhui Medical University Inflammation and Immune‐Mediated Diseases Laboratory of Anhui Province Anhui Medical University Hefei 230032 China

Department of Pharmacology School of Basic Medical Sciences Anhui Medical University Hefei 230032 China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Anhui Province

References (51)

Show source-provided references
1. 10.1016/S0140-6736(21)02141-310.1016/S0140-6736(21)02141-3 ↗
2. 10.1016/j.ynstr.2018.09.00710.1016/j.ynstr.2018.09.007 ↗
3. 10.2147/JIR.S29793010.2147/JIR.S297930 ↗
4. 10.1093/eurjpc/zwae02210.1093/eurjpc/zwae022 ↗
5. 10.1007/s12035-023-03377-w10.1007/s12035-023-03377-w ↗
6. 10.3390/biom1205073510.3390/biom12050735 ↗
7. 10.1111/acel.1410610.1111/acel.14106 ↗
8. 10.3390/nu1517385910.3390/nu15173859 ↗
9. 10.3389/fimmu.2022.94671310.3389/fimmu.2022.946713 ↗
10. 10.1111/1751-7915.1355010.1111/1751-7915.13550 ↗
11. 10.1038/s41392-022-01017-810.1038/s41392-022-01017-8 ↗
12. 10.1016/j.bbagen.2022.13022510.1016/j.bbagen.2022.130225 ↗
13. 10.1016/j.nbd.2015.07.01210.1016/j.nbd.2015.07.012 ↗
14. 10.1111/cns.1234310.1111/cns.12343 ↗
15. 10.3389/fneur.2019.0131510.3389/fneur.2019.01315 ↗
16. 10.1016/j.bbrc.2005.03.17010.1016/j.bbrc.2005.03.170 ↗
17. 10.1042/BSR2018069110.1042/BSR20180691 ↗
18. 10.3390/antiox1204082210.3390/antiox12040822 ↗
19. 10.1002/anie.20231476310.1002/anie.202314763 ↗
20. 10.1039/D3MH01492D10.1039/D3MH01492D ↗
21. 10.1002/anie.20230214610.1002/anie.202302146 ↗
22. 10.1002/smll.20240265610.1002/smll.202402656 ↗
23. 10.1002/smll.20231024710.1002/smll.202310247 ↗
24. 10.1002/smll.20220506210.1002/smll.202205062 ↗
25. 10.1186/s43556-024-00205-y10.1186/s43556-024-00205-y ↗
26. 10.1089/ars.2016.673710.1089/ars.2016.6737 ↗
27. 10.1016/j.molcel.2024.08.03510.1016/j.molcel.2024.08.035 ↗
28. 10.1016/j.drudis.2020.05.00110.1016/j.drudis.2020.05.001 ↗
29. 10.3390/cells1104073810.3390/cells11040738 ↗
30. 10.1038/s41467-023-35899-110.1038/s41467-023-35899-1 ↗
31. 10.1016/j.psychres.2023.11566410.1016/j.psychres.2023.115664 ↗
32. 10.1186/s12888-023-04706-y10.1186/s12888-023-04706-y ↗
33. 10.1016/j.lfs.2017.12.02510.1016/j.lfs.2017.12.025 ↗
34. 10.1016/j.ejpb.2018.02.01010.1016/j.ejpb.2018.02.010 ↗
35. 10.1001/jamanetworkopen.2024.3690610.1001/jamanetworkopen.2024.36906 ↗
36. 10.1002/jcp.2614510.1002/jcp.26145 ↗
37. 10.3390/biom1003039310.3390/biom10030393 ↗
38. 10.1007/s12035-014-8697-610.1007/s12035-014-8697-6 ↗
39. 10.3390/biom1205068310.3390/biom12050683 ↗
40. 10.1016/j.tem.2023.03.00110.1016/j.tem.2023.03.001 ↗
41. 10.3389/fpsyt.2021.76566410.3389/fpsyt.2021.765664 ↗
42. 10.3390/biology1208109210.3390/biology12081092 ↗
43. 10.1016/j.brainresbull.2021.10.00210.1016/j.brainresbull.2021.10.002 ↗
44. 10.1007/s40263-022-00930-410.1007/s40263-022-00930-4 ↗
45. 10.4155/tde-2022-001810.4155/tde-2022-0018 ↗
46. 10.1038/s41380-023-02048-510.1038/s41380-023-02048-5 ↗
47. 10.1038/s41386-018-0013-010.1038/s41386-018-0013-0 ↗
48. 10.1111/jne.1313010.1111/jne.13130 ↗
49. 10.1007/s00213-015-4131-710.1007/s00213-015-4131-7 ↗
50. 10.1097/PR9.000000000000093710.1097/PR9.0000000000000937 ↗
51. 10.3390/biom1304069510.3390/biom13040695 ↗