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Serum miR-503 is a Candidate Biomarker for Differentiating Metabolic Healthy Obesity from Metabolic Unhealthy Obesity

Authors Yue HQ, Zhou YH, Guo Y, Tang CY, Wang F, Zhou HD

Received 19 May 2020

Accepted for publication 8 July 2020

Published 27 July 2020 Volume 2020:13 Pages 2667—2676

DOI https://doi.org/10.2147/DMSO.S262888

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 3

Editor who approved publication: Professor Ming-Hui Zou


Hai-Qing Yue,1 Ying-Hui Zhou,1 Yue Guo,1,2 Chen-Yi Tang,1 Fang Wang,1 Hou-De Zhou1

1National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, People’s Republic of China; 2Department of Stomatology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China

Correspondence: Hou-De Zhou
National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, People’s Republic of China
Tel +86-731-85292223
Fax +86-731-85533525
Email houdezhou@csu.edu.cn

Purpose: Overweight and obesity are associated with metabolic diseases. However, a subgroup of the overweight/obese population does not present metabolic abnormalities. Hence, there is an urgent need to identify biomarkers that can distinguish different obesity phenotypes and metabolic status.
Patients and Methods: A total of 98 individuals were divided into three groups: metabolically healthy normal weight (MHNW), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO). Participants were evaluated for anthropometric and biochemical parameters and serum BMPR1A concentration and miR-503 level. Receiver operating characteristic (ROC) curve analysis and logistic regression analysis were performed.
Results: The level of miR-503 was significantly higher in the MHO group compared with that in the MUO group, but no difference was observed between the MHNW and MHO groups. Meanwhile, no significant differences in serum BMPR1A concentration were observed between the three groups. ROC curve analysis showed that miR-503 could be used as a marker to distinguish the MUO from the MHO. Logistic regression analysis suggested that miR-503 was an important related factor associated with an unhealthy metabolic state in overweight/obese subjects.
Conclusion: miR-503 can be considered as a suitable biomarker to distinguish between the MUO and MHO, which may be a related factor for the incidence of metabolic disorders in overweight/obese subjects.

Keywords: micro RNA, metabolic syndrome, diagnosis

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