Integration of Transcriptomic and Single-Cell Data to Uncover Senescence- and Ferroptosis-Associated Biomarkers in Sepsis DOI Creative Commons
Xiangqian Zhang, Yiran Zhou, Hang Li

и другие.

Biomedicines, Год журнала: 2025, Номер 13(4), С. 942 - 942

Опубликована: Апрель 11, 2025

Background: Sepsis is a life-threatening condition characterized by organ dysfunction due to an imbalanced immune response infection, with high mortality. Ferroptosis, iron-dependent cell death process, and cellular senescence, which exacerbates inflammation, have recently been implicated in sepsis pathophysiology. Methods: Weighted gene co-expression network analysis (WGCNA) was used identify ferroptosis- senescence-related modules sepsis. Differentially expressed genes (DEGs) were analyzed using public datasets (GSE57065, GSE65682, GSE26378). Receiver operating characteristic (ROC) performed evaluate their diagnostic potential, while single-cell RNA sequencing (scRNA-seq) assess immune-cell-specific expression. Molecular docking conducted predict drug interactions key proteins. Results: Five (CD82, MAPK14, NEDD4, TXN, WIPI1) significantly upregulated patients highly correlated infiltration. MAPK14 TXN exhibited strong potential (AUC = 0.983, 0.978). suggested therapeutic diclofenac, flurbiprofen, N-acetyl-L-cysteine. Conclusions: This study highlights ferroptosis senescence as critical mechanisms identifies promising biomarkers for diagnosis targeted therapy. Future studies should focus on clinical validation precision medicine applications.

Язык: Английский

Integration of Transcriptomic and Single-Cell Data to Uncover Senescence- and Ferroptosis-Associated Biomarkers in Sepsis DOI Creative Commons
Xiangqian Zhang, Yiran Zhou, Hang Li

и другие.

Biomedicines, Год журнала: 2025, Номер 13(4), С. 942 - 942

Опубликована: Апрель 11, 2025

Background: Sepsis is a life-threatening condition characterized by organ dysfunction due to an imbalanced immune response infection, with high mortality. Ferroptosis, iron-dependent cell death process, and cellular senescence, which exacerbates inflammation, have recently been implicated in sepsis pathophysiology. Methods: Weighted gene co-expression network analysis (WGCNA) was used identify ferroptosis- senescence-related modules sepsis. Differentially expressed genes (DEGs) were analyzed using public datasets (GSE57065, GSE65682, GSE26378). Receiver operating characteristic (ROC) performed evaluate their diagnostic potential, while single-cell RNA sequencing (scRNA-seq) assess immune-cell-specific expression. Molecular docking conducted predict drug interactions key proteins. Results: Five (CD82, MAPK14, NEDD4, TXN, WIPI1) significantly upregulated patients highly correlated infiltration. MAPK14 TXN exhibited strong potential (AUC = 0.983, 0.978). suggested therapeutic diclofenac, flurbiprofen, N-acetyl-L-cysteine. Conclusions: This study highlights ferroptosis senescence as critical mechanisms identifies promising biomarkers for diagnosis targeted therapy. Future studies should focus on clinical validation precision medicine applications.

Язык: Английский

Процитировано

0