Issue 9, 2023

Association of lipid metabolism-related metabolites with overweight/obesity based on the FTO rs1421085

Abstract

Globally, obesity is a severe health issue. A more precise and practical approach is required to enhance clinical care and drug development. The FTO (fat mass and obesity-associated) gene variant rs1421085 is strongly associated with an increased susceptibility to obesity in numerous populations; however, the precise mechanism behind this association concerning metabolomics is still not understood. This study aims to examine the association between metabolites and obesity-related anthropometric traits based on the variant FTO rs1421085. This study was based on a case-control design involving a total of 542 participants including overweight/obese cases and healthy controls. The blood samples were collected from all the participants. The isolated serum samples were subjected to untargeted metabolomics using GC-MS. The isolated DNA samples were genotyped for the FTO rs1421085 variant. Initially, a total of 42 metabolites were identified on GC-MS, which were subjected to further association analyses. The study observed a significant association of two metabolites, glycerol and 2,3-dihydroxypropyl stearate with FTO gene variant rs1421085 and obesity-related anthropometric traits including % BF, WHtR, WC, and HC. The CT genotype of FTO rs1421085 may greatly increase the risk of overweight/obesity by changing the lipid metabolism-related metabolites. Therefore, this study highlights the significance of biochemical networks in the progression of obesity in carriers of the FTO rs1421085 risk genotype.

Graphical abstract: Association of lipid metabolism-related metabolites with overweight/obesity based on the FTO rs1421085

Supplementary files

Article information

Article type
Research Article
Submitted
29 May 2023
Accepted
24 Jul 2023
First published
04 Aug 2023

Mol. Omics, 2023,19, 697-705

Association of lipid metabolism-related metabolites with overweight/obesity based on the FTO rs1421085

S. Farooq, S. Rana, A. J. Siddiqui, A. Iqbal, A. A. Bhatti and S. G. Musharraf, Mol. Omics, 2023, 19, 697 DOI: 10.1039/D3MO00112A

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