ArticleAdipocyte2022
Identification of key genes and their association with immune infiltration in adipose tissue of obese patients: a bioinformatic analysis.
Article in Adipocyte, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Sulfated Alfalfa Polysaccharides Enhance Post-Obesity Recovery Through Modulation of Gut Microbiota and Antioxidant Activity.Chemistry & biodiversity · 2026Article
- Co-morbid biomarkers for sarcopenic obesity associated with gut microbiota metabolites: From burden to treatment.PLoS computational biology · 2026Article
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- The Adipokine Hypothesis of Heart Failure With a Preserved Ejection Fraction: A Novel Framework to Explain Pathogenesis and Guide Treatment.Journal of the American College of Cardiology · 2025Review
- Genetic Commonalities Between Metabolic Syndrome and Rheumatic Diseases Through Disease Interactome Modules.Journal of cellular and molecular medicine · 2025Article
- Adipose-specific overexpression of human AGPAT2 in mice causes increased adiposity and mild hepatic dysfunction.iScience · 2024Article
- Regulated adipose tissue-specific expression of humaniScience · 2023Article
- A narrative review: CXC chemokines influence immune surveillance in obesity and obesity-related diseases: Type 2 diabetes and nonalcoholic fatty liver disease.Reviews in endocrine & metabolic disorders · 2023Review
- Identification of Comorbidities, Genomic Associations, and Molecular Mechanisms for COVID-19 Using Bioinformatics Approaches.BioMed research international · 2023Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune cell-mediated adipose tissue (AT) inflammation contributes to obesity-related metabolic disorders, but the precise underlying mechanisms remain largely elusive. In this study, we used the R software to screen key differentially expressed genes (DEGs) in AT from lean and obese individuals and conducted function enrichment analysis. We then analysed their PPI network by using the STRING database. Hub genes were screened by cytohubba plugin. Subsequently, CIBERSORTx was used to predict the proportion of immune cells in AT from lean and obese subjects. Finally, the correlation between hub genes and immune cell proportions was analysed. These studies identified 290 DEGs in the AT between lean and obese subjects. Among them,
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