ArticleFrontiers in endocrinology2022
Characteristic MicroRNAs Linked to Dysregulated Metabolic Pathways in Qatari Adult Subjects With Obesity and Metabolic Syndrome.
Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Qatar's Silent Epidemic: A Comprehensive Meta-analysis on the Prevalence of Metabolic Syndrome.Current diabetes reviews · 2025Pooled it
- The strategic trajectory of artificial intelligence in Qatar's healthcare sector: a model for UN Sustainable Development Goal 9.Frontiers in artificial intelligence · 2026Review
- Obesity Alters the microRNA Expression Profile Related to Metabolic Disorders in Peripheral Blood Mononuclear Cells: Preliminary Results.Current issues in molecular biology · 2025Article
- Unraveling the complexities of diet induced obesity and glucolipid dysfunction in metabolic syndrome.Diabetology & metabolic syndrome · 2025Review
- Role and Significance of MicroRNAs in the Relationship Between Obesity and Cancer.Balkan medical journal · 2025Review
- Review
- Identification of Key Genes Related to Intramuscular Fat Content of Psoas Major Muscle in Saba Pigs by Integrating Bioinformatics and Machine Learning Based on Transcriptome Data.Animals : an open access journal from MDPI · 2025Article
- Metabolically Healthy Obesity Is Characterized by a Distinct Proteome Signature.International journal of molecular sciences · 2025Article
- Characterizing Circulating microRNA Signatures of Type 2 Diabetes Subtypes.International journal of molecular sciences · 2025Article
- SERUM LncRNA SNHG16: A Biomarker for Diagnosing Childhood Obesity and Predicting Its Progression to Metabolic Syndrome.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Involvement of circulating microRNAs in the pathogenesis of atherosclerosis in young patients with obesity.Physiological research · 2024Article
- RNA-Seq based selection signature analysis for identifying genomic footprints associated with the fat-tail phenotype in sheep.Frontiers in veterinary science · 2024Article
- Decreased Serum Insulin Receptor Messenger RNA Level inBiomarker insights · 2024Article
- Inflammatory protein signatures in individuals with obesity and metabolic syndrome.Scientific reports · 2023Article
- Exposure to ambient air pollutants, serum miRNA networks, lipid metabolism, and non-alcoholic fatty liver disease in young adults.Ecotoxicology and environmental safety · 2023Article
- Article
- Biomarkers of obesity-mediated insulin resistance: focus on microRNAs.Diabetology & metabolic syndrome · 2023Review
- Differential expression of serum mir-363-3p in patients with polycystic ovary syndrome and its predictive value for their pregnancy.BMC women's health · 2023Article
- An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case-control study.Journal of translational medicine · 2023Article
- Dysregulated Metabolic Pathways in Subjects with Obesity and Metabolic Syndrome.International journal of molecular sciences · 2022Article
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Obesity-associated dysglycemia is associated with metabolic disorders. MicroRNAs (miRNAs) are known regulators of metabolic homeostasis. We aimed to assess the relationship of circulating miRNAs with clinical features in obese Qatari individuals. Methods: We analyzed a dataset of 39 age-matched patients that includes 18 subjects with obesity only (OBO) and 21 subjects with obesity and metabolic syndrome (OBM). We measured 754 well-characterized human microRNAs (miRNAs) and identified differentially expressed miRNAs along with their significant associations with clinical markers in these patients. Results: A total of 64 miRNAs were differentially expressed between metabolically healthy obese (OBO) versus metabolically unhealthy obese (OBM) patients. Thirteen out of 64 miRNAs significantly correlated with at least one clinical trait of the metabolic syndrome. Six out of the thirteen demonstrated significant association with HbA1c levels; miR-331-3p, miR-452-3p, and miR-485-5p were over-expressed, whereas miR-153-3p, miR-182-5p, and miR-433-3p were under-expressed in the OBM patients with elevated HbA1c levels. We also identified, miR-106b-3p, miR-652-3p, and miR-93-5p that showed a significant association with creatinine; miR-130b-5p, miR-363-3p, and miR-636 were significantly associated with cholesterol, whereas miR-130a-3p was significantly associated with LDL. Additionally, miR-652-3p's differential expression correlated significantly with HDL and creatinine. Conclusions: MicroRNAs associated with metabolic syndrome in obese subjects may have a pathophysiologic role and can serve as markers for obese individuals predisposed to various metabolic diseases like diabetes.
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