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Original Research Article | OPEN ACCESS

lncRNA profiling to elucidate the metabolic mechanism of green tea extract on weight loss in mice

Hongbo Li1-3, Na Li4, Wei Zhou3, Liangbin Hu3, Jinshui Wang2, Haizhen Mo3

1Postdoctoral Research Base, Henan Institute of Science and Technology, Xinxiang 453003; 2College of Food Science and Technology, Henan University of Technology, Zhengzhou 450001; 3School of Food Science, Henan Institute of Science and Technology; 4Life Science and Technology Department, Xinxiang College, Xinxiang 453003, China.

For correspondence:-  Haizhen Mo   Email:

Accepted: 24 July 2019        Published: 29 August 2019

Citation: Li H, Li N, Zhou W, Hu L, Wang J, Mo H. lncRNA profiling to elucidate the metabolic mechanism of green tea extract on weight loss in mice. Trop J Pharm Res 2019; 18(8):1733-1738 doi: 10.4314/tjpr.v18i8.24

© 2019 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: To understand the effects of green tea extract on weight loss at the gene level using long non-coding RNA (lncRNA) expression profiles.
Methods: lncRNA expression signatures in rats fed two different diets were determined by analyzing previously published gene expression profiles in Gene expression Omnibus (GEO). The lncRNAs specific to rats in a particular dietary group were confirmed using an additional autonomous dataset. LncRNA expression profiles were compared to explore the underlying mechanisms of green tea extract on weight loss.
Results: Three lncRNAs (Gm38399, F730035P03Rik, and 5033430I15Rik) that may be the targets of green tea and that may play crucial roles in the lipid-lowering effects of green tea were identified. Using functional annotation databases, two of the targets of two of the lncRNAs were identified as Nav1 and Atxn1.
Conclusion: Based on annotation databases, green tea extract may affect metabolic processes in adipocytes by regulating the lncRNAs GM38399 and 5033430I15Rik that modulate their cis-regulatory target genes Nav1 and Atxn1, respectively. Nav1 and Atxn1 may then regulate trans-regulatory lncRNAs.

Keywords: Green tea, Epigallocatechin gallate, Obesity, Weight loss, LncRNA profiling

Impact Factor
Thompson Reuters (ISI): 0.523 (2021)
H-5 index (Google Scholar): 39 (2021)

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