Identification of shared important genes associated with ferroptosis across different etiologies of acute lung injury DOI Creative Commons
Jing Li, Yuan‐Han Yang,

Zhengjun Cui

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 19, 2025

Acute lung injury (ALI) of different etiologies has shared pathophysiologic process, from which we speculated that ALI may share common molecular features. While the genetic characteristics remain unclear. In this paper, aimed to identify ferroptosis-associated and bottleneck genes acute etiologies. Firstly, extracted five groups gene sets related three distinct models Gene Expression Omnibus (GEO) database. Then, through utilization weighted co-expression network analysis (WGCNA), identified 3 significant modules ascertained 7 co-expressed affected by these models. Subsequently, differential expression protein-protein interaction for modules, Slc7a11 was identified. Moreover, subjected were used via FerrDb Finally, key confirmed validated. addition, observed is both a driver suppressor in Interestingly, found level significantly upregulated Experimentally, rat tissues using immunofluorescence staining real-time polymerase chain reaction (qRT-PCR) assays. Collectively, our findings complement exploration pathogenesis ALI. There are features etiology increased ALI, can improve understanding mechanisms underlying

Language: Английский

Advances in sepsis research: Insights into signaling pathways, organ failure, and emerging intervention strategies DOI Creative Commons
Yehua Li, Siying Ren,

Shenao Zhou

et al.

Experimental and Molecular Pathology, Journal Year: 2025, Volume and Issue: 142, P. 104963 - 104963

Published: March 27, 2025

Language: Английский

Citations

0

Ferroptosis-related protein biomarkers for diagnosis, differential diagnosis, and short-term mortality in patients with sepsis in the intensive care unit DOI Creative Commons
Zhangrui Zeng, Jie Deng, Gang Wang

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: April 8, 2025

Sepsis is a disease with high mortality caused by dysregulated response to infection. Ferroptosis newly discovered type of cell death. Ferroptosis-related genes are involved in the occurrence and development sepsis. However, research on diagnostic value ferroptosis-related protein biomarkers sepsis serum limited. This study aims explore clinical proteins diagnosing predicting risk. A single-center, prospective, observational was conducted from January December 2023, involving 170 patients, 49 non-septic ICU 50 healthy individuals. Upon admission, biochemical parameters, GCS, SOFA, APACHE II scores were recorded, surplus stored at -80°C for biomarker analysis via ELISA. Diagnostic efficacy evaluated using ROC curve analysis. Baseline levels ACSL4, GPX4, PTGS2, CL-11, IL-6, IL-8, PCT, hs-CRP significantly differed among sepsis, non-septic, individuals (all p-value < 0.01). demonstrated differential performance (AUC: 0.6688 0.9945). IL-10 TNF-α showed good (AUC = 0.8955 0.7657, respectively). ACSL4 0.7127) associated mortality. Serum IL-6 above cut-off shorter survival times. positively correlated SOFA (Rho 0.354, 0.0001), 0.317, septic shock 0.274, 0.003) but negatively GCS score -0.218, 0.018). GPX4 0.204, 0.027) 0.233, 0.011) scores. have strong including ability predict 28-day may become new potential markers

Language: Английский

Citations

0

Identification of shared important genes associated with ferroptosis across different etiologies of acute lung injury DOI Creative Commons
Jing Li, Yuan‐Han Yang,

Zhengjun Cui

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 19, 2025

Acute lung injury (ALI) of different etiologies has shared pathophysiologic process, from which we speculated that ALI may share common molecular features. While the genetic characteristics remain unclear. In this paper, aimed to identify ferroptosis-associated and bottleneck genes acute etiologies. Firstly, extracted five groups gene sets related three distinct models Gene Expression Omnibus (GEO) database. Then, through utilization weighted co-expression network analysis (WGCNA), identified 3 significant modules ascertained 7 co-expressed affected by these models. Subsequently, differential expression protein-protein interaction for modules, Slc7a11 was identified. Moreover, subjected were used via FerrDb Finally, key confirmed validated. addition, observed is both a driver suppressor in Interestingly, found level significantly upregulated Experimentally, rat tissues using immunofluorescence staining real-time polymerase chain reaction (qRT-PCR) assays. Collectively, our findings complement exploration pathogenesis ALI. There are features etiology increased ALI, can improve understanding mechanisms underlying

Language: Английский

Citations

0