ArticleJournal of inflammation research2024
Identification and Validation of Genes Related to Macrophage Polarization and Cell Death Modes Under
Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 17 citations in OpenAlex.
- Upregulation of CREB1 by Mycobacterium Tuberculosis Transcriptionally Activates TREM2 to Promote Macrophage M2 Polarization.Cell biochemistry and function · 2026Article
- A PTPRO-Related Five-Gene Blood Transcriptional Signature with Diagnostic Potential for Tuberculosis.Biomedicines · 2026Article
- Transcriptome and experimental validation identify prognostic genes associated with lipotoxicity in thyroid carcinoma.BMC cancer · 2026Article
- Excessive pyroptosis mediates the exacerbation of pneumonia caused by low-lethality influenza virus and secondary MRSA co-infection.Cell death discovery · 2026Article
- Targeting phenol-soluble modulin α3-driven M1 macrophage polarization and necroptosis mitigates MRSA infection in mice.Nature communications · 2026Article
- Integrated bioinformatic identification and translational validation of key biomarkers and therapeutic candidates for preeclampsia-related acute kidney injury.Archives of gynecology and obstetrics · 2026Article
- Exploration of potential mechanisms and biomarkers related to ERS-associated RCD in steroid-induced osteonecrosis of the femoral head based on bioinformatics, with experimental validation.Frontiers in endocrinology · 2026Article
- Exploring Matrix Stiffness-Related Gene in Periodontitis: A Comprehensive Multidataset Analysis.Mediators of inflammation · 2026Article
- Association and Mechanistic Insights Linking Bisphenol A to Psoriasis: Integrative Analysis of Bulk Transcriptomics, Network Toxicology, Mendelian Randomization and Single‑cell RNA Sequencing.Clinical, cosmetic and investigational dermatology · 2026Article
- Macrophage targeted cellular microparticles synergize anti-tuberculosis therapy combining CircRNA-mediated host immune defense and antibiotic killing.Materials today. Bio · 2025Article
- Identification of Key Genes Associated with Endoplasmic Reticulum Stress in Calcium Oxalate Kidney Stones.Genes · 2025Article
- Identification of biomarkers associated with mitophagy in bladder cancer.Scientific reports · 2025Article
- Tuberculosis Patients' Serum Extracellular Vesicles Induce Relevant Immune Responses for Initial Defense Against BCG in Mice.Microorganisms · 2025Article
- Cell Death and Infection: Implications for Host and Microbe.Advances in experimental medicine and biology · 2025Review
- Immunomodulation by bacterial products promotes innate signatures favorable to macrophage responses in tuberculosis infection.Frontiers in immunology · 2025Article
- Identification and validation for biomarkers associated with mitochondrial metabolism in chronic obstructive pulmonary disease.Frontiers in medicine · 2025Article
- Ag85B-induced M1 Macrophage Polarization via the TLR4/TRAF6/NF-κB Axis Leading to Bronchial Epithelial Cell Damage and TH17/Treg Imbalance.Current molecular medicine · 2025Article
- Copper homeostasis; A rapier between mycobacteria and macrophages.FASEB bioAdvances · 2025Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To investigate the correlation between M1/M2 macrophages (M1/M2 Mφ) and cell death mode under Methods: Raw gene expression profiles were collected from the Gene Expression Omnibus (GEO) database. Genes related to different cell death modes were collected from the KEGG, FerrDb and GSEA databases. The differentially expressed genes (DEGs) of the gene expression profiles were identified using the limma package in R. The intersection genes of M1/M2 Mφ with different cell death modes were obtained by the VennDiagram package. Hub genes were obtained by constructing the protein-protein interactions (PPI) network and Receiver Operating Characteristic (ROC) curve analysis. The expression of cell death modes marker genes and Hub genes were verified by Western Blot and Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR). Results: Bioinformatics analysis was performed to screen Hub genes of Mtb-infected M1 Mφ and different cell death modes, naming NFKB1, TNF, CFLAR, TBK1, IL6, RELA, SOCS1, AIM2; Hub genes of Mtb-infected M2 Mφ and different cell death modes, naming TNF, BIRC3, MAP1LC3C, DEPTOR, UVRAG, SOCS1. Combined with experimental validation, M1 Mφ under Mtb infection showed higher expression of death (including apoptosis, autophagy, ferroptosis, and pyroptosis) genes compared to M2 Mφ and genes such as NFKB1, TNF, CFLAR, TBK1, IL6, RELA, AIM2, BIRC3, DEPTOR show differential expression. Conclusion: NFKB1, TNF, CFLAR, TBK1, IL6, RELA, AIM2 in Mtb-infected M1 Mφ, and TNF, BIRC3, DEPTOR in Mtb-infected M2 Mφ might be used as potential diagnostic targets for TB. At early stage of Mtb infection, apoptosis, autophagy, ferroptosis, and pyroptosis occurred more significantly in M1 Mφ than that in M2 Mφ, which may contribute to the transition of Mtb-infected Mφ from M1-dominant to M2-dominant and contribute to the immune escape mechanisms of Mtb.
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Registered trials
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