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Central obesity is associated with higher risk of developing a wide range of diseases independent of overall obesity. Genome-wide association studies (GWASs) have identified more than 300 susceptibility loci associated with central obesity. However, the functional understanding of these loci is limited by the fact that most loci are in non-coding regions. To address this issue, our study first prioritized 2,034 single-nucleotide polymorphisms (SNPs) based on fine-mapping and epigenomic annotation analysis. Subsequently, we employed self-transcribing active regulatory region sequencing (STARR-seq) to systematically evaluate the enhancer activity of these prioritized SNPs. The resulting data analysis identified 141 SNPs with allelic enhancer activity. Further analysis of allelic transcription factor (TF) binding prioritized 20 key TFs mediating the central-obesity-relevant genetic regulatory network. Finally, as an example, we illustrate the molecular mechanisms of how rs8079062 acts as an allele-specific enhancer to regulate the expression of its targeted RNF157. We also evaluated the role of RNF157 in the adipogenic differentiation process. In conclusion, our results provide an important resource for understanding the genetic regulatory mechanisms underlying central obesity.
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http://dx.doi.org/10.1016/j.ajhg.2024.11.005 | DOI Listing |
Abdom Radiol (NY)
September 2025
Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Objectives: The escalating global incidence of obesity, cardiometabolic disease and sarcopenia necessitates reliable body composition measurement tools. MRI-based assessment is the gold standard, with utility in both clinical and drug trial settings. This study aims to validate a new automated volumetric MRI method by comparing with manual ground truth, prior volumetric measurements, and against a new method for semi-automated single-slice area measurements.
View Article and Find Full Text PDFBr J Nutr
September 2025
Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Although numerous clinical studies suggest that ginseng supplementation may benefit cardiovascular disease (CVD) risk factors, results remain inconclusive. This systematic review and meta-analysis evaluated the effects of ginseng supplementation on CVD-related risk factors. Relevant studies were identified through electronic searches in Embase, Web of Science, Scopus, PubMed, and CENTRAL up to August 2024.
View Article and Find Full Text PDFJ Obes
September 2025
School of Natural Sciences, University of Lincoln, Lincoln, UK.
To investigate the genetic determinants of fat distribution across anatomical sites and their implications for health outcomes. We analyzed neck-to-knee MRI data from the UK Biobank ( = 37,589) to measure fat at various locations and used Mendelian randomization to assess effects on 26 obesity-related diseases and 94 biomarkers from FinnGen and other consortia. We identified genetic loci associated with 10 fat depots: abdominal subcutaneous adipose tissue ( = 2 loci), thigh subcutaneous adipose tissue (25), thigh intermuscular adipose tissue (15), visceral adipose tissue (7), liver proton density fat fraction (PDFF) (8), pancreas PDFF (11), paraspinal adipose tissue (9), pelvic bone marrow fat (28), thigh bone marrow fat (27), and vertebrae bone marrow fat (5).
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
Background: Multiple non-pharmacological and nonsurgical interventions have demonstrated efficacy in improving abdominal obesity. However, the optimal intervention remains uncertain. This study aimed to assess the relative effectiveness and safety of these interventions in reducing waist circumference, waist-to-hip ratio, waist-to-height ratio (WHtR), body mass index (BMI), and body weight among adults with abdominal obesity.
View Article and Find Full Text PDFBMC Oral Health
September 2025
Department of Oral Medicine and Periodontology, Ain Shams University, Cairo, Egypt.
Background: Periodontitis, a chronic inflammatory disease of tooth-supporting tissues, shows significant associations with systemic conditions like type 2 diabetes mellitus (T2DM) and obesity. These metabolic disorders share chronic inflammatory pathways that may influence periodontal disease severity. This study investigated these relationships using advanced quantifiable metrics - periodontal epithelial surface area (PESA) and periodontal inflammatory surface area (PISA).
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