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Nutrición Hospitalaria

versión On-line ISSN 1699-5198versión impresa ISSN 0212-1611

Resumen

GONZALEZ-SANCHEZ, Grecia Denisse et al. Prevalence of the genetic variant rs61330082 and serum levels of the visfatin gene in Mexican individuals with metabolic syndrome: a clinical and bioinformatics approach. Nutr. Hosp. [online]. 2024, vol.41, n.6, pp.1194-1201.  Epub 31-Ene-2025. ISSN 1699-5198.  https://dx.doi.org/10.20960/nh.05183.

Background:

metabolic syndrome (MetS) is a group of clinical anomalies that share an inflammatory component of multifactorial etiology.

Objectives:

the present study aims to relate the genetic variant (rs61330082 C/T) with dietary patterns in the presence of MetS and the application of molecular docking according to the genotype and associated transcription factors.

Methods:

197 individuals aged 18 to 65 were included, from whom anthropometric measurements were taken, and a blood sample from the forearm. DNA extraction and enzymatic digestion were performed to determine the genotype of each participant by PCR-RFLP. Dietary patterns were analyzed using a nutritional questionnaire validated for the Mexican population. Serum levels of the protein visfatin were assessed by ELISA. Finally, bioinformatics tools were used for molecular docking to infer the binding of transcriptional factors in the polymorphic region.

Results:

the TT genotype was present in only 10 % of the population. Women carrying the CT+TT genotype, according to the dominant genetic model, had higher serum levels of triglycerides and VDLD-C. Statistical analysis did not show a significant association between the presence of MetS and the dominant CT+TT model (OR = 1.41, 95 % CI = 0.61-3.44, p = 0.53). We identified PAX5 as a transcription factor binding to the polymorphic site of this genetic variant.

Conclusions:

this study demonstrated a significant association between the genetic variant (rs61330082 C/T) and lipid parameters. Women carrying the T allele have a higher risk of high triglyceride levels, a criterion for metabolic syndrome.

Palabras clave : Metabolic syndrome; Genetic variant; Visfatin; Dietary patterns; Bioinformatics.

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