Horm Metab Res 2014; 46(03): 201-205
DOI: 10.1055/s-0033-1357139
Endocrine Research
© Georg Thieme Verlag KG Stuttgart · New York

Associations Between Physical Activity-related miRNAs and Metabolic Syndrome

Authors

  • J. Zhou

    1   Department of Cardiology, Wuhan 1st Hospital (Wuhan Hospital of Integrated Chinese and Western Medicine), Wuhan, China
  • Q. Zheng

    1   Department of Cardiology, Wuhan 1st Hospital (Wuhan Hospital of Integrated Chinese and Western Medicine), Wuhan, China
  • T. Xu

    2   Department of Endocrinology, Affiliated Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
  • D. Liao

    2   Department of Endocrinology, Affiliated Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
  • Y. Zhang

    2   Department of Endocrinology, Affiliated Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
  • S. Yang

    2   Department of Endocrinology, Affiliated Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
  • J. Hu

    2   Department of Endocrinology, Affiliated Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Further Information

Publication History

received 16 July 2013

accepted 12 September 2013

Publication Date:
17 October 2013 (online)

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Abstract

The aim of the study was to investigate the associations between physical activity (PA)-related miRNAs and metabolic syndrome (MetS). A case-control study was conducted in 209 subjects with MetS and 234 controls. The MetS was defined by the International Diabetes Foundation (IDF) criteria of 2005. Serum PA-related miRNAs were detected by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) assays. Association analysis was performed by logistic regression models. The expression levels of miR-126 and miR-130a were lower in the highest metabolic equivalent hours per week (MET-h/week) quartile than in the lowest quartile [miR-126: Q5 vs. Q1, median (5–95%), 1.67 (0.54, 2.45) vs. 1.35 (0.45, 2.45), p=0.012; miR-130a: Q5 vs. Q1, median (5–95%), 0.90 (0.44, 1.35) vs. 0.53 (0.26, 1.01), p<0.001]. However, miR-197 exhibited a trend with increased MET-h/week [Q5 vs. Q1, median (5–95%), 1.35 (0.45, 2.63) vs. 2.18 (0.87, 4.77), p=0.009]. MiR-126 increased MetS risk significantly while the effect of miR-197 was opposite (miR-126: OR=1.37, 95% CI 1.07–1.75; p=0.012; miR-197: OR=0.68, 95% CI 0.51–0.92; p=0.010). Individuals in the highest MET-h/week quartile had lower prevalence and odds rate of MetS compared with those in the lowest quartile (Q4 vs. Q1: OR=0.58, 95% CI 0.33–1.05; p for trend=0.026). However, further adjustment of both PA associated miRNAs abolished that association. All these results suggested that the association between PA and MetS risk might partly depend on miR-126 and miR-197.

Supporting Information