Ullah, K.; Li, Y.; Lin, Q.; Pan, K.; Nguyen, T.; Aniruddhsingh, S.; Su, Q.; Sharp, W.; Wu, R. Comparative Analysis of Whole Transcriptome Profiles in Septic Cardiomyopathy: Insights from CLP- and LPS-Induced Mouse Models. Genes2023, 14, 1366.
Ullah, K.; Li, Y.; Lin, Q.; Pan, K.; Nguyen, T.; Aniruddhsingh, S.; Su, Q.; Sharp, W.; Wu, R. Comparative Analysis of Whole Transcriptome Profiles in Septic Cardiomyopathy: Insights from CLP- and LPS-Induced Mouse Models. Genes 2023, 14, 1366.
Ullah, K.; Li, Y.; Lin, Q.; Pan, K.; Nguyen, T.; Aniruddhsingh, S.; Su, Q.; Sharp, W.; Wu, R. Comparative Analysis of Whole Transcriptome Profiles in Septic Cardiomyopathy: Insights from CLP- and LPS-Induced Mouse Models. Genes2023, 14, 1366.
Ullah, K.; Li, Y.; Lin, Q.; Pan, K.; Nguyen, T.; Aniruddhsingh, S.; Su, Q.; Sharp, W.; Wu, R. Comparative Analysis of Whole Transcriptome Profiles in Septic Cardiomyopathy: Insights from CLP- and LPS-Induced Mouse Models. Genes 2023, 14, 1366.
Abstract
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection, with septic cardiomyopathy being a common and severe complication. Despite its significant clinical impact, the molecular mechanisms underlying sepsis-induced cardiomyopathy (SICM) remain incompletely understood. In this study, we performed a comparative analysis of whole transcriptome profiles in two widely used mouse models of septic cardiomyopathy, the cecal ligation and puncture (CLP) model and the lipopolysaccharide (LPS) model. Our aim was to identify key genes and pathways involved in the development of septic cardiomyopathy and to evaluate the similarities and differences between the two models. Our findings suggested that 1) both methods can induce septic heart dysfunction within 24 hours; 2) distinct whole transcriptome expression profiles are revealed; 3) potentially different pathways are involved in causing heart failure in sepsis. The comprehensive comparison provides valuable insights into the molecular basis of septic cardiomyopathy and contributes to the ongoing search for effective treatment strategies, triggered by different factors for SICM.
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