ArticleJournal of diabetes and metabolic disorders2024
Exploring genetic signatures of obesity: hub genes and miRNAs unveiled through comprehensive bioinformatic analysis.
Article in Journal of diabetes and metabolic disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- miR-6844 Regulates Cell Functions and Acts as a Potential Biomarker to Predict Prognosis in Breast Cancer.International journal of women's health · 2025Article
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Authors and funding
4 authors.
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Abstract
Objectives: Adipogenesis, the process of fat accumulation in adipose tissue, is closely linked to obesity, a condition characterized by excessive fat storage. Genetic factors significantly contribute to an individual's susceptibility to adipogenesis and the development of obesity. Methods: In this study, we conducted a comprehensive bioinformatic analysis, including Weighted Gene Co-expression Analysis, differentially expressed gene analysis, and protein-protein interaction analysis, to identify hub genes and miRNAs associated with obesity. Results: Our findings highlight the potential involvement of genes such as ATP5F1A, FN1, CCl2, RPS14, and RPS16, as well as miRNAs including hsa-miR-6844, hsa-miR-4528, hsa-miR-3686, hsa-miR-3124-3p, hsa-miR-381-3p, and hsa-miR-300 in obesity. Conclusions: The findings from this study contribute to the growing knowledge of adipogenesis and obesity genetics, and provide potential biomarkers for further investigation and translation into clinical or research applications. Graphical abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-024-01490-8.
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