ArticleJournal of inflammation research2024
Unveiling Key Biomarkers and Mechanisms in Septic Cardiomyopathy: A Comprehensive Transcriptome Analysis.
Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Clinical implications of ferroptosis in critical illness: a narrative review.Journal of intensive care · 2026Review
- Role of Copper Homeostasis and Cuproptosis in Cardiovascular Disease: Molecular Insights and Metabolic Perspectives.International journal of biological sciences · 2026Review
- Atorvastatin Alleviates Sepsis-Induced Cardiomyopathy by Targeting the METTL3/IGF2BP1/CXCL2 Pathway.Journal of inflammation research · 2025Article
- Decoding IL-1 receptor 1 and 2 expression profiles across organs in sepsis.Frontiers in cell and developmental biology · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Septic cardiomyopathy (SCM) is a significant global public health concern characterized by substantial morbidity and mortality, which has not been improved for decades due to lack of early diagnosis and effective therapies. This study aimed to identify hub biomarkers in SCM and explore their potential mechanisms. Methods: We utilized the GSE53007 and GSE207363 datasets for transcriptome analysis of normal and SCM mice. Hub biomarkers were identified through a protein-protein interaction (PPI) network and validated using LPS-treated C57/BL6 mice. Functional enrichment analysis was performed to uncover relevant signaling pathways, while single-cell RNA sequencing was used to examine key genes and regulatory mechanisms associated with SCM. Results: A total of 374 differentially expressed genes (DEGs) were identified, with 268 genes up-regulated and 106 genes down-regulated. Functional enrichment highlighted chemokine activity and receptor binding, with KEGG pathways revealing significant involvement of the TNF and IL-7 signaling pathways. Deterioration of cardiac function, elevated inflammatory markers such as IL-1β, IL-6, and increased cardiac injury biomarkers such as cTnI indicated the successful establishment of our SCM model. Subsequently, qPCR was conducted to validate the expression of the top 10 genes, through which we identified Cd40, Tlr2, Cxcl10, Ccl5, Cxcl1, Cd14, Gbp2, Ifit2, and Vegfa as key biomarkers. Single-cell sequencing indicated increased neutrophil and macrophage populations, with decreased B cells and cardiomyocytes. Additionally, transcription regulators Irf1 and Stat1 were found to potentially regulate the expression of Gbp2, Cxcl10, Ccl5, and Cd40, linking SCM to immune response, ferroptosis, pyroptosis, cuproptosis, and m6A RNA methylation modification. Conclusion: This study identified nine hub biomarkers and two transcription regulators associated with SCM. Exploring the connections between SCM and immunity, ferroptosis, pyroptosis, cuproptosis, and m6A RNA methylation might provide insights into the underlying mechanisms. These findings enhanced our understanding of SCM's underlying mechanisms and might pave the way for novel therapeutic strategies to improve clinical outcomes.
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