Integrated bioinformatics and experiment validation reveal cuproptosis-related biomarkers and therapeutic targets in sepsis-induced myocardial dysfunction

Integrated bioinformatics and experiment validation reveal cuproptosis-related biomarkers and therapeutic targets in sepsis-induced myocardial dysfunction

Abstract Background Sepsis-induced myocardial dysfunction (SIMD) is a serious sepsis complication with high mortality, yet current diagnostic and therapeutic approaches remain limited. The lack of early, specific biomarkers and effective treatments necessitates exploration of novel mechanisms. Recen...

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Bibliographic Details
Main Authors: Xuemei Shi, Zhonghan Yan, Ruilin Ding, Fenfen Xia, Yan Du, Xiaojie Wang, Qing Peng
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Infectious Diseases
Subjects:
Sepsis-induced myocardial dysfunction
Cuproptosis-related genes
Machine learning
Molecular mechanism
Biomarkers
Therapeutic targets
Online Access:https://doi.org/10.1186/s12879-025-10822-9
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https://doi.org/10.1186/s12879-025-10822-9

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