CircRNA expression profiles in human visceral preadipocytes and adipocytes

Sun,Wenxing; Sun,Xuecheng; Chu,Weiwei; Yu,Shigang; Dong,Fulu; Xu,Guangfei

doi:10.3892/mmr.2019.10886

CircRNA expression profiles in human visceral preadipocytes and adipocytes

Authors:
- Wenxing Sun
- Xuecheng Sun
- Weiwei Chu
- Shigang Yu
- Fulu Dong
- Guangfei Xu
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Affiliations: Department of Nutrition and Food Hygiene, School of Public Health, Nantong University, Nantong, Jiangsu 226019, P.R. China, Department of Trauma Surgery, Weifang People's Hospital, Weifang, Shandong 26100, P.R. China, School of Pharmaceutical Sciences (Shenzhen), Sun Yat‑sen University, Guangzhou, Guangdong 510275, P.R. China, Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, Sichuan 614000, P.R. China, Laboratory of Nuclear Receptors and Cancer Research, Center for Basic Medical Research, Medical College, Nantong University, Nantong, Jiangsu 226019, P.R. China
Published online on: December 16, 2019 https://doi.org/10.3892/mmr.2019.10886
Pages: 815-821
Copyright: © Sun et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Circular RNAs (circRNAs) regulate several physiological and pathological processes, but their role in visceral lipid deposition has not been explored. In the present study, human preadipocytes from visceral fat tissue (HPA‑v) were induced to form adipocytes, and the circRNA expression profiles in HPA‑v and adipocytes were detected using circRNA microarrays. The microarray data revealed that 2,215 and 1,865 circRNAs were significantly up‑ and downregulated, respectively, in adipocytes compared with HPA‑v. Moreover, the parental genes of differentially expressed circRNAs were associated with fatty acid metabolism based on Kyoto Encyclopedia of Genes and Genomes analysis. Three circRNAs (hsa_circ_0136134, hsa_circ_0017650, and hsa‑circRNA9227‑1) were selected for quantitative PCR (qPCR) validation, and the qPCR results were consistent with the microarray results. Furthermore, MiRanda software was used to predict the microRNAs (miRNAs) potentially targeting the top 10 up‑ and downregulated circRNAs, and 14 miRNAs with more than two miRNA response elements targeting these circRNAs. This is the first study of the expression profiles of circRNAs in HPA‑v and adipocytes and may suggest potential therapeutic targets for the visceral obesity.

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