ArticleFrontiers in immunology2022
LPIN1 Is a Regulatory Factor Associated With Immune Response and Inflammation in Sepsis.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 55 citations in OpenAlex.
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- S100P mediates IL-13/ATF4-driven epithelial barrier dysfunction in eosinophilic asthma: a potential biomarker and therapeutic target.Journal of translational medicine · 2026Article
- Inhibition of iron overload and ferroptosis attenuates sepsis-induced myocardial injury in mice through STAT3/Lcn2 pathway.Journal of cardiothoracic surgery · 2026Article
- Carnosic acid's mechanism in alleviating POAG-induced optic nerve injuryInternational journal of ophthalmology · 2026Article
- Identification and validation of novel candidate genes with diagnostic value for sepsis via weighted gene co-expression network analysis.Frontiers in medicine · 2026Article
- Ferritinophagy-related prognostic genes UBE2Q1, NEDD4L, and TCP11L2 for prognosis prediction in sepsis.Scientific reports · 2025Article
- Time-restricted feeding protects against septic liver injury by reshaping gut microbiota and metabolite 3-hydroxybutyrate.Gut microbes · 2025Article
- Unravelling butyrate metabolism in sepsis: identification of key genes.BMC infectious diseases · 2025Article
- Combination of machine learning and protein‑protein interaction network established one ATM‑DPP4‑TXN ferroptotic diagnostic model with experimental validation.Molecular medicine reports · 2025Article
- Identification of Key Genes Related to Immune-Lipid Metabolism in Skin Barrier Damage and Analysis of Immune Infiltration.Inflammation · 2025Article
- Exploring the Molecular Mechanisms of Autophagy-related Genes in Hepatic Ischemia/Reperfusion Injury Using Bioinformatics.Transplantation direct · 2025Article
- TRIM11 modulates sepsis progression by promoting HOXB9 ubiquitination and inducing the NF-κB signaling pathway.Molecular biology reports · 2025Article
- Identification of amino acid metabolism‑related genes as diagnostic and prognostic biomarkers in sepsis through machine learning.Experimental and therapeutic medicine · 2025Article
- Identification of prognostic biomarkers of sepsis and construction of ceRNA regulatory networks.Scientific reports · 2025Article
- Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes.Scientific reports · 2025Article
- Identification of STAT3 and MYC as critical ferroptosis-related biomarkers in septic cardiomyopathy: a bioinformatics and experimental study.Journal of molecular medicine (Berlin, Germany) · 2025Article
- From Gene to Intervention: NLRC4 and WIPI1 Regulate Septic Acute Lung Injury Through Autophagy.Journal of inflammation research · 2025Article
- Article
- Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to fatty acid metabolism-associated genes.Scientific reports · 2024Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Sepsis is a clinical disease that is typically treated in the intensive care unit, and the complex pathophysiology under this disease has not been thoroughly understood. While ferroptosis is involved in inflammation and infection, its effect in sepsis is still unknown. The study aimed to identify ferroptosis-related genes in sepsis, providing translational potential therapeutic targets. Methods: The dataset GSE65682 was used to download the sample source from the Gene Expression Omnibus (GEO) database. Consensus weighted gene co-expression network analysis (WGCNA) was performed to find suspected modules of sepsis. The differentially expressed genes (DEGs) most significantly associated with mortality were intersected with those altered by lipopolysaccharide (LPS) treatment and were further analyzed for the identification of main pathways of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. The related pathway markers were further verified by qPCR. Results: A total of 802 blood samples with sepsis were included for WGCNA, which identified 21 modules. Intersected with ferroptosis databases and LPS treatment groups, we identified two ferroptosis-related genes: PEBP1 and LPIN1. Only LPIN1 contributes to a poor outcome. Then, 205 DEGs were further identified according to the high or low LPIN1 expression. Among them, we constructed a gene regulatory network with several transcriptional factors using the NetworkAnalyst online tool and identified that these genes mostly correlate with inflammation and immune response. The immune infiltration analysis showed that lower expression of LPIN1 was related to macrophage infiltration and could be an independent predictor factor of the survival status in sepsis patients. Meanwhile, the multivariate Cox analysis showed that LPIN1 had a significant correlation with survival that was further verified by Conclusion: In conclusion, LPIN1 could become a reliable biomarker for patient survival in sepsis, which is associated with immune and inflammation status.
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