MicroRNA-196a links human body fat distribution to adipose tissue extracellular matrix composition
Year: 2019
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Abdominal fat mass is associated with metabolic risk whilst gluteal femoral fat is paradoxically protective. MicroRNAs are known to be necessary for adipose tissue formation and function but their role in regulating human fat distribution remains largely unexplored. METHODS: An initial microarray screen of abdominal subcutaneous and gluteal adipose tissue, with validatory qPCR, identified microRNA-196a as being strongly differentially expressed between gluteal and abdominal subcutaneous adipose tissue. FINDINGS: We found that rs11614913, a SNP within pre-miR-196a-2 at the HOXC locus, is an eQTL for miR-196a expression in abdominal subcutaneous adipose tissue (ASAT). Observations in large cohorts showed that rs11614913 increased waist-to-hip ratio, which was driven specifically by an expansion in ASAT. In further experiments, rs11614913 was associated with adipocyte size. Functional studies and transcriptomic profiling of miR-196a knock-down pre-adipocytes revealed a role for miR-196a in regulating pre-adipocyte proliferation and extracellular matrix pathways. INTERPRETATION: These data identify a role for miR-196a in regulating human body fat distribution. FUND: This work was supported by the Medical Research Council and Novo Nordisk UK Research Foundation (G1001959) and Swedish Research Council. We acknowledge the OBB-NIHR Oxford Biomedical Research Centre and the British Heart Foundation (BHF) (RG/17/1/32663). Work performed at the MRC Epidemiology Unit was funded by the United Kingdom's Medical Research Council through grants MC_UU_12015/1, MC_PC_13046, MC_PC_13048 and MR/L00002/1.
Source: EBioMedicine
Institutions: Churchill Hospital, University of Oxford, Oxford Centre for Diabetes, Endocrinology and Metabolism, NIHR Oxford Biomedical Research Centre, Centre for Human Genetics, University of Cambridge, MRC Epidemiology Unit, University Medical Center Utrecht, Karolinska University Hospital, Karolinska Institutet
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,928
Awards: Aetiology of type 2 diabetes and related metabolic disorders, High Throughput Science - Investigating pathways to metabolic disease using "omic" approaches, G1606511277, High Throughput Science - Investigating the genetic determinants of healthy ageing: the MRC EPIC-Norfolk study, G2887078349, G2892497062, G3812975344, G385201875, G4063006939, G5787426001, G6420057424, G6957823285, Understanding the genetic basis of common human diseases: core funding for the Wellcome Trust Centre for Human Genetics., G7403207691, NIHR Senior Investigator Award, G8928013254, Understanding the genetic basis of common human diseases: core funding for the Wellcome Trust Centre for Human Genetics., G8975348055, G8975541179
OpenAlex ID: W2947004080
