ArticleJournal of translational medicine2019
Circulating miR-3659 may be a potential biomarker of dyslipidemia in patients with obesity.
Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 24 citations in OpenAlex.
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- Circulating microRNAs as Potential Biomarkers of Overweight and Obesity in Adults: A Narrative Review.Genes · 2025Review
- Gene network based analysis identifies a coexpression module involved in regulating plasma lipids with high-fat diet response.The Journal of nutritional biochemistry · 2023Article
- Epigenetic regulation in metabolic diseases: mechanisms and advances in clinical study.Signal transduction and targeted therapy · 2023Review
- Transcriptomic profiling of the telomerase transformed Mesenchymal stromal cells derived adipocytes in response to rosiglitazone.BMC genomic data · 2022Article
- Integrated DNA Methylation and Gene Expression Analysis Identified S100A8 and S100A9 in the Pathogenesis of Obesity.Frontiers in cardiovascular medicine · 2021Article
- Circulating microRNA Associated to Different Stages of Liver Steatosis in Prader-Willi Syndrome and Non-Syndromic Obesity.Journal of clinical medicine · 2020Article
- Article
- Integrated Weighted Gene Co-expression Network Analysis Identified ThatFrontiers in genetics · 2020Article
- LncRNA SNHG8 is identified as a key regulator of acute myocardial infarction by RNA-seq analysis.Lipids in health and disease · 2019Article
- miR-146a attenuates apoptosis and modulates autophagy by targeting TAF9b/P53 pathway in doxorubicin-induced cardiotoxicity.Cell death & disease · 2019Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe present study attempted to identify potential key genes and miRNAs of dyslipidemia in obese, and to investigate the possible mechanisms associated with them.
methodsThe microarray data of GSE66676 were downloaded, including 67 obese samples from the Gene Expression Omnibus (GEO) database. The weighted gene co-expression network (WGCNA) analysis was performed using WGCNA package and grey60 module was considered as the highest correlation. Gene Ontology annotation and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses for this module were performed by clusterProfiler and DOSE package. A protein-protein interaction (PPI) network was established using Cytoscape software, and significant modules were analyzed using molecular complex detection.
resultsCollagen type I alpha 1 chain gene (COL1A1) had the best significant meaning. After bioinformatic analysis, we identified four miRNAs (hsa-miR-3659, hsa-miR-4658, hsa-miR151a-5p and hsa-miR-151b) which can bind SNPs in 3'UTR in COL1A1. After validation with RT-qPCR, only two miRNAs (hsa-miR-3659 and hsa-miR151a-5p) had statistical significance.
conclusionsThe area of 0.806 for miR-3659 and 0.769 for miR-151a-5p under the ROC curve (AUC) may have good diagnostic value for dyslipidemia. Circulating miR-3659 may be a potential biomarker of dyslipidemia in patients with obesity.
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