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Purpose: Studies have shown that neutrophil-mediated formation of neutrophil extracellular traps (NETs) leads to increased inflammatory response and cellular tissue damage during myocardial infarction (MI). We aimed to identify and validate possible hub genes in the process of NETs-mediated cell damage.
Methods: We performed an immune cell infiltration analysis of the MI transcriptome dataset based on CIBERSORT and ssGSEA algorithms. Gene expression profiles of NETs formation (GSE178883) were used to analyze the physiological processes of peripheral blood neutrophils after phorbol myristate acetate (PMA) stimulation. Bioinformatics and machine learning algorithms were utilized to find candidate hub genes based on NETs-related genes and transcriptome datasets (GSE66360 and GSE179828). We generated the receiver operating curve (ROC) to evaluate the diagnostic value of hub genes. Next, the correlation between hub genes and immune cells was analyzed using CIBERSORT, ssGSEA and xCell algorithms. Finally, we used quantitative real-time PCR (qRT-PCR) and immunohistochemistry to verify gene expression.
Results: Immune cell infiltration analysis revealed that inflammatory cells such as neutrophils were highly expressed in the peripheral blood of patients with MI. Functional analysis of differentially expressed genes (DEGs) in GSE178883 indicated that the potential pathogenesis lies in immune terms. Using weighted gene co-expression network analysis (WGCNA) and machine learning algorithms, we finally identified the seven hub genes (FCAR, IL1B, MMP9, NFIL3, CXCL2, ICAM1, and ZFP36). The qRT-PCR results showed that IL-1B, MMP9, and NFIL3 mRNA expression was up-regulated in the MI group compared to the control. Immunohistochemical results showed high MMP9, IL-1B, and NFIL3 expression in the infarcted area compared to the non-infarcted area and sham-operated groups.
Conclusion: We identified seven hub genes associated with NETs-mediated cellular damage during MI. Our results may provide insights into the mechanisms of neutrophil-mediated cell injury during MI.
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http://dx.doi.org/10.2147/JIR.S444975 | DOI Listing |
Int J Gen Med
September 2025
Department of Geriatrics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China.
Background: Sepsis is characterized by profound immune and metabolic perturbations, with glycolysis serving as a pivotal modulator of immune responses. However, the molecular mechanisms linking glycolytic reprogramming to immune dysfunction remain poorly defined.
Methods: Transcriptomic profiles of sepsis were obtained from the Gene Expression Omnibus.
J Inflamm Res
September 2025
Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Introduction: While nucleus pulposus cell (NPC) degeneration is a primary driver of intervertebral disc degeneration (IVDD), the cellular heterogeneity and molecular interactions underlying NPC degeneration remain poorly characterized. Previous studies have shown that EGFR signaling plays a significant role in NPC differentiation and collagen matrix production. Consequently, this study aims to identify the critical downstream regulatory molecule of EGFR in the process of NPC degeneration.
View Article and Find Full Text PDFBiochem Biophys Rep
June 2025
Department of Public Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Background: Synaptic dysfunction and synapse loss occur in Alzheimer's disease (AD). The current study aimed to identify synaptic-related genes with diagnostic potential for AD.
Methods: Differentially expressed genes (DEGs) were overlapped with phenotype-associated module selected through weighted gene co-expression network analysis (WGCNA), and synaptic-related genes.
Food Sci Nutr
September 2025
Department of Biology, College of Natural and Computational Sciences Mizan-Tepi University Tepi Ethiopia.
Climatic challenges increasingly threaten global food security, necessitating crops with enhanced multi-stress resilience. Through systematic transcriptomic analysis of 100 wheat genotypes under heat, drought, cold, and salt stress, we identified 3237 differentially expressed genes (DEGs) enriched in key stress-response pathways. Core transcription factors (, , ) and two functional modules governing abiotic tolerance were characterized.
View Article and Find Full Text PDFBiotechnol Appl Biochem
September 2025
Emergency Intensive Care Medicine Center, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, China.
Background: Differentially expressed genes (DEGs) have been known to provide important information on disease mechanisms and potential therapeutic targets. The traditional Chinese medicine (TCM) offers a large reservoir of bioactive compounds that could modulate at these targets. This study is an attempt to investigate the biomarkers in Sepsis and COVID-19 using gene expression analysis and molecular modeling validation of TCM-derived candidate compounds targeting key DEGs associated with sepsis.
View Article and Find Full Text PDF