Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss.

Autor:	Mera-Charria A; Dorsia Clinics, Madrid, Spain., Nieto-Lopez F; Dorsia Clinics, Madrid, Spain.; Catedra UCAM Dorsia, Catholic University San Antonio of Murcia, Guadalupe, Spain., Francès MP; Independent Researcher, Barcelona, Spain., Arbex PM; Fagron Genomics US, LLC, Austin, TX, United States., Vila-Vecilla L; Fagron Genomics, Barcelona, Spain., Russo V; Fagron Genomics, Barcelona, Spain., Silva CCV; Fagron (Netherlands), Rotterdam, Netherlands., De Souza GT; Fagron Genomics, Barcelona, Spain.
Jazyk:	angličtina
Zdroj:	Frontiers in nutrition [Front Nutr] 2023 Nov 16; Vol. 10, pp. 1274662. Date of Electronic Publication: 2023 Nov 16 (Print Publication: 2023).
DOI:	10.3389/fnut.2023.1274662
Abstrakt:	Purpose: Obesity is a multifactorial condition with a relevant genetic correlation. Recent advances in genomic research have identified several single nucleotide polymorphisms (SNPs) in genes such as FTO, MCM6, HLA, and MC4R, associated with obesity. This study aimed to evaluate the association of 102 SNPs with BMI and weight loss treatment response in a multi-ethnic population. Methods: The study analyzed 9,372 patients for the correlation between SNPs and BMI (dataset A). The correlation between SNP and weight loss was accessed in 474 patients undergoing different treatments (dataset B). Patients in dataset B were further divided into 3 categories based on the type of intervention: dietary therapy, intragastric balloon procedures, or surgeries. SNP association analysis and multiple models of inheritance were performed. Results: In dataset A, ten SNPs, including rs9939609 (FTO), rs4988235 (MCM6), and rs2395182 (HLA), were significantly associated with increased BMI. Additionally, other four SNPs, rs7903146 (TCF7L2), (rs6511720), rs5400 (SLC2A2), and rs7498665 (SH2B1), showed sex-specific correlation. For dataset B, SNPs rs2016520 (PPAR-Delta) and rs2419621 (ACSL5) demonstrated significant correlation with weight loss for all treatment types. In patients who adhered to dietary therapy, SNPs rs6544713 (ABCG8) and rs762551 (CYP1A2) were strongly correlated with weight loss. Patients undergoing surgical or endoscopic procedures exhibited differential correlations with several SNPs, including rs1801725 (CASR) and rs12970134 (MC4R), and weight loss. Conclusion: This study provides valuable insights into the genetic factors influencing BMI and weight loss response to different treatments. The findings highlight the potential for personalized weight management approaches based on individual genetic profiles. Competing Interests: AM-C and FN-L are affiliated with Dorsia Clinics, Medical Department, Madrid, Spain, with FN-L also affiliated with Universidad Católica San Antonio de Murcia (UCAM), Murcia, Spain. MF is employed by Fagron Ibérica, Barcelona, Spain. PA is employed by Gx Sciences, Austin, Texas, United States. LV-V, VR, and GS are employed by Fagron Genomics, Barcelona, Spain. CS is employed by Fagron BV, Rotterdam, Netherlands. Despite these affiliations and employments with commercial entities, the authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. We would like to reiterate that although the authors are associated or employed by industry or commercial entities, we declare no conflict of interest as the data generated is not intended for commercial use. Rather, the aim is to utilise data acquired to corroborate and contribute to the existing basic literature, thereby enhancing the quality of health care and contributing to scientific knowledge in the field. (Copyright © 2023 Mera-Charria, Nieto-Lopez, Francès, Arbex, Vila-Vecilla, Russo, Silva and De Souza.)
Databáze:	MEDLINE
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