Academic Journal
SARS-CoV-2-infected hiPSC-derived cardiomyocytes reveal dynamic changes in the COVID-19 hearts
| Title: | SARS-CoV-2-infected hiPSC-derived cardiomyocytes reveal dynamic changes in the COVID-19 hearts |
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| Authors: | Xiao Li, Hengrui Hu, Wanlin Liu, Qiyu Zhang, Yujie Wang, Xingjuan Chen, Yunping Zhu, Zhihong Hu, Manli Wang, Jie Ma, Ling Leng |
| Source: | Stem Cell Research & Therapy, Vol 14, Iss 1, Pp 1-15 (2023) |
| Publisher Information: | BMC, 2023. |
| Publication Year: | 2023 |
| Collection: | LCC:Medicine (General) LCC:Biochemistry |
| Subject Terms: | COVID-19, SARS-CoV-2, hiPSC-derived cardiomyocytes, Heart, Proteome, Medicine (General), R5-920, Biochemistry, QD415-436 |
| More Details: | Abstract Background The ongoing coronavirus disease 2019 (COVID-19) pandemic has had an enormous impact on our societies. Moreover, the disease’s extensive and sustained symptoms are now becoming a nonnegligible medical challenge. In this respect, data indicate that heart failure is one of the most common readmission diagnoses among COVID-19 patients. Methods In this study, we used human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes to develop an in vitro model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and studied the dynamic changes occurring in cardiomyocytes after SARS-CoV-2 infection. Results To this end, we have created an effective time series SARS-CoV-2 infection model exhibiting different functional patterns of up- and downregulated proteins, and demonstrating that SARS-CoV-2 mainly affects (i) the lipid and the energy metabolism of hiPSC-derived cardiomyocytes during the early infection stage, and (ii) the DNA repair ability of cardiomyocytes during the late infection stage. By analyzing the proteome changes occurring at different infection timepoints, we were able to observe that the simulated disease (COVID-19) course developed rapidly, and that each of the studied timepoints was characterized by a distinct protein expression pattern. Conclusions Our findings highlight the importance of early detection and personalized treatment based on the disease stage. Finally, by combing the proteomics data with virus-host interaction network analysis, we were able to identify several potential drug targets for the disease. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1757-6512 |
| Relation: | https://doaj.org/toc/1757-6512 |
| DOI: | 10.1186/s13287-023-03603-1 |
| Access URL: | https://doaj.org/article/a3369e5727e04e67a49a13cdd3a31165 |
| Accession Number: | edsdoj.3369e5727e04e67a49a13cdd3a31165 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 17576512 |
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| DOI: | 10.1186/s13287-023-03603-1 |
| Published in: | Stem Cell Research & Therapy |
| Language: | English |