ArticleFrontiers in immunology2023
Identification and validation of a novel mitochondrion-related gene signature for diagnosis and immune infiltration in 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 12 papers.
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12 citing papers in PubMed, 15 citations in OpenAlex.
- Identification of immune cell mitochondrial dysfunction characteristics and clinical predictive biomarkers in sepsis via multi-cohort machine learning and single-cell RNA sequencing.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Convergent immune dysregulation in sepsis and colorectal cancer highlights plasma cells and identifies shared candidate genes.Discover oncology · 2026Article
- Mitochondrial flagella-like extensions (MitoFLARE) dysfunction triggers STING-mediated immune dysregulation in sepsis.Nature communications · 2026Article
- SPIB suppresses protective autophagy via the IFIT2/PINK1/Parkin axis to promote anoikis in colorectal cancer.Cancer cell international · 2026Article
- Host transcriptomic analysis reveals a defective intracellular environment that limits SARS-CoV-2 replication in CFTR-deficient airway epithelium.Frontiers in cellular and infection microbiology · 2026Article
- Cytochrome P450 (CYP) 1 enzymes in acute lung injury: from molecular insights to therapeutic implications.Redox report : communications in free radical research · 2025Review
- Revealing Cell-Free Mitochondrial DNA Breakage Patterns as Novel Biomarkers for Sepsis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Integrated bioinformatics analysis unravels mitochondrial-immune crosstalk and infiltration dynamics in sepsis progression.European journal of medical research · 2025Article
- Enhancing Mitochondrial Function Through Pharmacological Modification: A Novel Approach to Mitochondrial Transplantation in a Sepsis Model.Biomedicines · 2025Article
- Advancing sepsis diagnosis and immunotherapy machine learning-driven identification of stable molecular biomarkers and therapeutic targets.Scientific reports · 2025Article
- Sepsis-induced cardiac dysfunction: mitochondria and energy metabolism.Intensive care medicine experimental · 2025Review
- Exploring the Role of Different Cell-Death-Related Genes in Sepsis Diagnosis Using a Machine Learning Algorithm.International journal of molecular sciences · 2023Article
Corrections and comments
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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
Background: Owing to the complex pathophysiological features and heterogeneity of sepsis, current diagnostic methods are not sufficiently precise or timely, causing a delay in treatment. It has been suggested that mitochondrial dysfunction plays a critical role in sepsis. However, the role and mechanism of mitochondria-related genes in the diagnostic and immune microenvironment of sepsis have not been sufficiently investigated. Methods: Mitochondria-related differentially expressed genes (DEGs) were identified between human sepsis and normal samples from GSE65682 dataset. Least absolute shrinkage and selection operator (LASSO) regression and the Support Vector Machine (SVM) analyses were carried out to locate potential diagnostic biomarkers. Gene ontology and gene set enrichment analyses were conducted to identify the key signaling pathways associated with these biomarker genes. Furthermore, correlation of these genes with the proportion of infiltrating immune cells was estimated using CIBERSORT. The expression and diagnostic value of the diagnostic genes were evaluated using GSE9960 and GSE134347 datasets and septic patients. Furthermore, we established an Results: In this study, 647 mitochondrion-related DEGs were obtained. Machine learning confirmed six critical mitochondrion-related DEGs, including Conclusion: We constructed a novel diagnostic model containing six MRGs, which has the potential to be an innovative tool for the early diagnosis of sepsis.
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