ArticleJournal of thoracic disease2023
Identification of autophagy-related genes and immune cell infiltration characteristics in sepsis via bioinformatic analysis.
Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 14 citations in OpenAlex.
- The impact of ulinastatin on lymphocyte apoptosis and autophagy in sepsis patients.Scientific reports · 2024Trial
- Integration of RNA-seq and scRNA-seq to investigate the role of cell cycle-related biomarkers in sepsis.PloS one · 2026Article
- Deciphering the interplay between inflammation and dysregulated autophagy in lupus nephritis through network analysis and experimental validation.Frontiers in cell and developmental biology · 2026Article
- Crosstalk between microRNAs and autophagy in adipocyte differentiation: emerging therapeutic targets for obesity.Adipocyte · 2025Review
- Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations.Scientific reports · 2025Article
- Reassessing sepsis research: new clues for old players and new players for an old symptom to improve patient outcomes.EXCLI journal · 2025Review
- TM9SF1 as a Novel Prognostic Biomarker for Sepsis Severity and Mortality: A Longitudinal Study.Journal of inflammation research · 2025Article
- Single-cell technology reveals the crosstalk between tumor cells and immune cells: driving immune signal transduction and inflammation-mediated cardiac dysfunction in the tumor microenvironment of colorectal cancer.Frontiers in immunology · 2025Article
- Causal relationship between telomere length and sepsis: a bidirectional Mendelian randomization study.Scientific reports · 2024Article
- The significance of long chain non-coding RNA signature genes in the diagnosis and management of sepsis patients, and the development of a prediction model.Frontiers in immunology · 2024Article
- The dual role of autophagy in suppressing and promoting hepatocellular carcinoma.Frontiers in cell and developmental biology · 2024Review
- LncRNA SNHG16 promotes LPS-induced human bronchial epithelial cell pyroptosis through miR-339-5p/NLRP1 axis mediation.Central-European journal of immunology · 2024Article
- Exploring the Role of Different Cell-Death-Related Genes in Sepsis Diagnosis Using a Machine Learning Algorithm.International journal of molecular sciences · 2023Article
- Diagnostic and prognostic value of autophagy-related key genes in sepsis and potential correlation with immune cell signatures.Frontiers in cell and developmental biology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sepsis is a life-threatening disease with a high mortality in the intensive care unit (ICU), and autophagy plays an essential role in the development of sepsis. The purpose of this study was to identify potential autophagy-related genes in sepsis and their relationship with immune cell infiltration by bioinformatics analysis. Methods: The messenger RNA (mRNA) expression profile of the GSE28750 data set was collected from the Gene Expression Omnibus (GEO) database. The potential differentially expressed autophagy-related genes of sepsis were screened with the "limma" package in R (The Foundation for Statistical Computing). The hub genes were selected by weighted gene coexpression network analysis (WGCNA) networks with Cytoscape, and functional enrichment analysis was performed. The expression level and diagnostic value of the hub genes were validated by Wilcoxon test and receiver operating characteristic (ROC) curve analysis of the GSE95233 data set. The compositional patterns of immune cell infiltration in sepsis were estimated using the CIBERSORT algorithm. Spearman rank correlation analysis was used to associate the identified biomarkers with infiltrating immune cells. A competing endogenous (ceRNA) network was constructed to predict related noncoding RNAs of identified biomarkers with the miRWalk platform. Results: In all, 80 differential autophagy-related genes were obtained. Conclusions:
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.