ArticleFrontiers in immunology2023
Identification and experimental validation of mitochondria-related genes biomarkers associated with immune infiltration for sepsis.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 36 citations in OpenAlex.
- Karacoline attenuates sepsis-induced acute lung injury by suppressing apoptosis via PPARγ-associated inhibition of JNK/ERK MAPK signaling.Respiratory research · 2026Article
- Mitochondrial dysfunction in sepsis-induced immunoparalysis: from immune-cell metabolic reprogramming to clinical biomarkers.Frontiers in immunology · 2026Review
- RAPGEF6 is a key biomarker with temporal characteristics in sepsis and exacerbates inflammation and oxidative stress by NF-κB-mediated necroptosis.Functional & integrative genomics · 2025Article
- Association of FANCD2, TFPI, and CD33 genes with prognosis of lung adenocarcinoma: a bioinformatics study.Discover oncology · 2025Article
- Integrated Transcriptomics and Single-Cell RNA Sequencing Analyses Reveal the Potential Role of Obesity-Related Genes in Polycystic Ovary Syndrome.Reproductive sciences (Thousand Oaks, Calif.) · 2025Article
- Development of a prognostic risk model for colorectal cancer based on microsatellite stability-associated genes.BMC cancer · 2025Article
- Revealing Cell-Free Mitochondrial DNA Breakage Patterns as Novel Biomarkers for Sepsis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- MitoQ alleviates mitochondria damage in sepsis-acute lung injury in a citrate synthase dependent manner.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025Article
- Integrative single-cell RNA sequencing and mendelian randomization analysis reveal the potential role of synaptic vesicle cycling-related genes in Alzheimer's disease.The journal of prevention of Alzheimer's disease · 2025Article
- Exploring the Role of Circadian Rhythm-Related Genes in the Identification of Sepsis Subtypes and the Construction of Diagnostic Models Based on RNA-seq and scRNA-seq.International journal of molecular sciences · 2025Article
- TRIM11 modulates sepsis progression by promoting HOXB9 ubiquitination and inducing the NF-κB signaling pathway.Molecular biology reports · 2025Article
- Downregulation of Gldc attenuates myocardial ischemia reperfusion injury in vitro by modulating Akt and NF-κB signalings.Scientific reports · 2025Article
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- Molecular Subtypes based on Mitochondrial Oxidative Stress-related Gene Signature and Tumor Microenvironment Infiltration Characterization of Colon Adenocarcinoma.Current medicinal chemistry · 2025Article
- Unveiling shared therapeutic targets and pathological pathways between coronary artery disease and major depressive disorder through bioinformatics analysis.Scientific reports · 2024Article
- Identification of novel mitophagy-related biomarkers for Kawasaki disease by integrated bioinformatics and machine-learning algorithms.Translational pediatrics · 2024Article
- Analysis and experimental validation of necroptosis-related molecular classification, immune signature and feature genes in Alzheimer's disease.Apoptosis : an international journal on programmed cell death · 2024Article
- Construction of a Novel Mitochondria-Associated Gene Model for Assessing ESCC Immune Microenvironment and Predicting Survival.Journal of microbiology and biotechnology · 2024Article
- Investigating the role of itaconate in macrophage activation and oxidative stress injury in sepsis-associated acute kidney injury.Molecular biology reports · 2024Article
- Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sepsis remains a complex condition with incomplete understanding of its pathogenesis. Further research is needed to identify prognostic factors, risk stratification tools, and effective diagnostic and therapeutic targets. Methods: Three GEO datasets (GSE54514, GSE65682, and GSE95233) were used to explore the potential role of mitochondria-related genes (MiRGs) in sepsis. WGCNA and two machine learning algorithms (RF and LASSO) were used to identify the feature of MiRGs. Consensus clustering was subsequently carried out to determine the molecular subtypes for sepsis. CIBERSORT algorithm was conducted to assess the immune cell infiltration of samples. A nomogram was also established to evaluate the diagnostic ability of feature biomarkers via "rms" package. Results: Three different expressed MiRGs (DE-MiRGs) were identified as sepsis biomarkers. A significant difference in the immune microenvironment landscape was observed between healthy controls and sepsis patients. Among the DE-MiRGs, Conclusion: By digging the role of these pivotal genes in immune cell infiltration, we gained a better understanding of the molecular immune mechanism in sepsis and identified potential intervention and treatment strategies.
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