journal article·2024-08Open access

PICALM Regulating the Generation of Amyloid β‐Peptide to Promote Anthracycline‐Induced Cardiotoxicity

Mengni Bao, Xiumeng Hua, Xiao Chen, Tao An, Han Mo, Zhe Sun, Menghao Tao, Guangxin Yue, Jiangping Song

Advanced Science· Volume 11· Issue 32

Abstract

Abstract Anthracyclines are chemotherapeutic drugs used to treat solid and hematologic malignancies. However, life‐threatening cardiotoxicity, with cardiac dilation and heart failure, is a drawback. A combination of in vivo for single cell/nucleus RNA sequencing and in vitro approaches is used to elucidate the underlying mechanism. Genetic depletion and pharmacological blocking peptides on phosphatidylinositol binding clathrin assembly (PICALM) are used to evaluate the role of PICALM in doxorubicin‐induced cardiotoxicity in vivo. Human heart tissue samples are used for verification. Patients with end‐stage heart failure and chemotherapy‐induced cardiotoxicity have thinner cell membranes compared to healthy controls do. Using the doxorubicin‐induced cardiotoxicity mice model, it is possible to replicate the corresponding phenotype in patients. Cellular changes in doxorubicin‐induced cardiotoxicity in mice, especially in cardiomyocytes, are identified using single cell/nucleus RNA sequencing. Picalm expression is upregulated only in cardiomyocytes with doxorubicin‐induced cardiotoxicity. Amyloid β‐peptide production is also increased after doxorubicin treatment, which leads to a greater increase in the membrane permeability of cardiomyocytes. Genetic depletion and pharmacological blocking peptides on Picalm reduce the generation of amyloid β‐peptide. This alleviates the doxorubicin‐induced cardiotoxicity in vitro and in vivo. In human heart tissue samples of patients with chemotherapy‐induced cardiotoxicity, PICALM, and amyloid β‐peptide are elevated as well.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Chemotherapy-induced cardiotoxicity and mitigation · Ion channel regulation and function · Electrochemical sensors and biosensors

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

Affiliations

Beijing Key Laboratory of Preclinical Research and Evaluation for Cardiovascular Implant Materials Animal Experimental Centre Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 100037 China

State Key Laboratory of Cardiovascular Disease Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 10037 China

Shenzhen Key Laboratory of Cardiovascular Disease Fuwai Hospital Chinese Academy of Medical Sciences Shenzhen 518057 China

Department of Cardiovascular Surgery Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 10037 China

The Cardiomyopathy Research Group Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 10037 China

Department of Cardiology Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 10037 China

Funding

Shenzhen Science and Technology Innovation Program · National Natural Science Foundation of China

References (60)

Show source-provided references
1. 10.1161/CIRCULATIONAHA.114.01377710.1161/CIRCULATIONAHA.114.013777 ↗
2. 10.1093/cvr/cvaa18110.1093/cvr/cvaa181 ↗
3. 10.1016/j.redox.2019.10139410.1016/j.redox.2019.101394 ↗
4. 10.1016/j.tips.2022.10.00310.1016/j.tips.2022.10.003 ↗
5. 10.1016/j.bcp.2021.11474310.1016/j.bcp.2021.114743 ↗
6. 10.1016/j.molmed.2007.12.00210.1016/j.molmed.2007.12.002 ↗
7. 10.1038/aps.2017.2810.1038/aps.2017.28 ↗
8. 10.1093/cvr/cvx01310.1093/cvr/cvx013 ↗
9. 10.1016/j.jchf.2022.09.00610.1016/j.jchf.2022.09.006 ↗
10. 10.1016/j.jacc.2014.12.03510.1016/j.jacc.2014.12.035 ↗
11. 10.1073/pnas.93.10.480410.1073/pnas.93.10.4804 ↗
12. 10.1126/science.291.5506.105110.1126/science.291.5506.1051 ↗
13. 10.1126/science.121321010.1126/science.1213210 ↗
14. 10.1016/j.cell.2011.10.03810.1016/j.cell.2011.10.038 ↗
15. 10.1083/jcb.153.7.151110.1083/jcb.153.7.1511 ↗
16. 10.1016/j.jacc.2016.08.07310.1016/j.jacc.2016.08.073 ↗
17. 10.1016/j.cardfail.2016.04.00910.1016/j.cardfail.2016.04.009 ↗
18. 10.1161/CIRCULATIONAHA.117.03035210.1161/CIRCULATIONAHA.117.030352 ↗
19. 10.1093/eurheartj/ehl09510.1093/eurheartj/ehl095 ↗
20. 10.1161/CIRCRESAHA.122.32136910.1161/CIRCRESAHA.122.321369 ↗
21. 10.1007/s43657-021-00022-110.1007/s43657-021-00022-1 ↗
22. 10.1111/bph.1295910.1111/bph.12959 ↗
23. 10.1007/s00424-021-02556-910.1007/s00424-021-02556-9 ↗
24. 10.1016/j.cell.2020.11.04110.1016/j.cell.2020.11.041 ↗
25. 10.1038/s41422-020-0374-x10.1038/s41422-020-0374-x ↗
26. 10.1038/s41421-020-00219-010.1038/s41421-020-00219-0 ↗
27. 10.1111/j.1365-2559.2006.02513.x10.1111/j.1365-2559.2006.02513.x ↗
28. 10.1038/nrn.2017.2910.1038/nrn.2017.29 ↗
29. 10.1016/j.metabol.2020.15445410.1016/j.metabol.2020.154454 ↗
30. 10.1016/j.jacc.2018.06.02710.1016/j.jacc.2018.06.027 ↗
31. 10.1038/nsmb.299110.1038/nsmb.2991 ↗
32. 10.1021/jacs.7b0808910.1021/jacs.7b08089 ↗
33. 10.3390/ma1323551210.3390/ma13235512 ↗
34. Fujimaki K. · Biol. Sci. · 2019 · 116
35. 10.4081/ejh.2012.e4410.4081/ejh.2012.e44 ↗
36. 10.1001/jamacardio.2016.384110.1001/jamacardio.2016.3841 ↗
37. 10.1016/j.ejrad.2020.10915810.1016/j.ejrad.2020.109158 ↗
38. 10.1016/j.cpcardiol.2023.10159110.1016/j.cpcardiol.2023.101591 ↗
39. 10.1038/aps.2017.2810.1038/aps.2017.28 ↗
40. 10.1016/j.bbadis.2011.07.00410.1016/j.bbadis.2011.07.004 ↗
41. 10.1016/j.lfs.2022.12061310.1016/j.lfs.2022.120613 ↗
42. 10.1002/anie.20221578510.1002/anie.202215785 ↗
43. 10.1038/s41467-023-44520-410.1038/s41467-023-44520-4 ↗
44. 10.1038/d41586‐023‐03076‐510.1038/d41586‐023‐03076‐5 ↗
45. 10.1073/pnas.120025010910.1073/pnas.1200250109 ↗
46. 10.1016/j.celrep.2020.10792510.1016/j.celrep.2020.107925 ↗
47. 10.1161/CIRCULATIONAHA.119.04354510.1161/CIRCULATIONAHA.119.043545 ↗
48. 10.1161/CIRCULATIONAHA.121.05569010.1161/CIRCULATIONAHA.121.055690 ↗
49. 10.1186/s13059-017-1382-010.1186/s13059-017-1382-0 ↗
50. 10.14806/ej.17.1.20010.14806/ej.17.1.200 ↗
51. 10.1093/bioinformatics/bts63510.1093/bioinformatics/bts635 ↗
52. 10.1093/bioinformatics/btt65610.1093/bioinformatics/btt656 ↗
53. 10.1038/nbt.319210.1038/nbt.3192 ↗
54. 10.1038/s41592-019-0619-010.1038/s41592-019-0619-0 ↗
55. 10.1038/nmeth.415010.1038/nmeth.4150 ↗
56. 10.1126/science.aax024910.1126/science.aax0249 ↗
57. 10.1089/omi.2011.011810.1089/omi.2011.0118 ↗
58. 10.1186/1471-2105-14-710.1186/1471-2105-14-7 ↗
59. 10.1186/s12868-016-0288-110.1186/s12868-016-0288-1 ↗
60. b)S. E.Miller D. A.Sahlender S. C.Graham S.Höning M. S.Robinson A. A.Peden D. J. J. C.Owen 2011 147 1118.10.1016/j.cell.2011.10.038 ↗