Article

Silencing m6A Reader YTHDC1 reduces inflammatory response in sepsis-induced cardiomyopathy by inhibiting SERPINA3N expression

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Abstract

Sepsis-induced cardiomyopathy (SIC) is one of the most common complications of infection-induced sepsis. An imbalance in inflammatory mediators is the main factor leading to SIC. N6-methyladenosine (m6A) is closely related to the occurrence and development of sepsis. m6A reader YTH Domain Containing 1 (YTHDC1) is an m6A N6-methyladenosine recognition protein. However, the role of YTHDC1 in SIC remains unclear. Herein, we demonstrated that YTHDC1-shRNA inhibits inflammation, reduces inflammatory mediators, and improves cardiac function in a lipopolysaccharide (LPS)-induced SIC mouse model. Based on the Gene Expression Omnibus (GEO) database analysis, serine protease inhibitor A3N (SERPINA3N) is a differential gene of SIC. Further, RNA immunoprecipitation (RIP) indicated that SERPINA3N mRNA can bind to YTHDC1, which regulates the expression of SERPINA3N. SERPINA3N-siRNA reduced LPS-induced inflammation of cardiac myocytes. In conclusion, the m6A reader YTHDC1 regulates SERPINA3N mRNA expression to mediate the levels of inflammation in SIC. Such findings add to the relationship between m6A reader YTHDC1 and SIC, providing a new research avenue for the therapeutic mechanism of SIC.

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... By influencing the nuclear localization, stability, decay and splicing of RNA, Ythdc1 regulates a range of RNA metabolic reactions, thereby influencing disease development. Previous studies have suggested potential beneficial effects of Ythdc1 in cardiomyopathies 62,63 . For instance, deletion of Ythdc1 in mice was found to induce dilated cardiomyopathy, characterized by significant left ventricular enlargement, severe systolic function, reduced contractility of myocardial cell contractility and disorganized sarcomere arrangement. ...
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Sepsis-induced cardiomyopathy (SIC) is a common and high-mortality complication among critically ill patients. Uncertainties persist regarding the pathogenesis, pathophysiology, and diagnosis of SIC, underscoring the necessity to investigate potential biological mechanisms. With the rise of omics technologies, leveraging their high throughput and big data advantages, a systems biology perspective is employed to study the biological processes of SIC. This approach aids in gaining a better understanding of the disease’s onset, progression, and outcomes, ultimately providing improved guidance for clinical practices. This review summarizes the currently applied omics technologies, omics studies related to SIC, and relevant omics databases.
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