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Nutrición Hospitalaria

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

Resumen

MARTINEZ-PEREZ, Luz Andrea et al. Relation of serum IL-32 levels and gene polymorphism rs45499297 with obesity in Mexican patients: a laboratory and in silico analysis. Nutr. Hosp. [online]. 2022, vol.39, n.2, pp.313-319.  Epub 09-Mayo-2022. ISSN 1699-5198.  https://dx.doi.org/10.20960/nh.03804.

Background:

many genes have been involved in the development of obesity. Interleukin 32 (IL-32) is a proinflammatory cytokine; rs45499297 is a T/C promoter, single-nucleotide polymorphism of the IL-32 gene.

Objectives:

this study aimed to evaluate the rs45499297 polymorphism and its association with obesity. Another objective of this study was to carry out an in silico analysis.

Methods:

this study was cross-sectional, and included 333 subjects classified by body mass index and fat percentage. The plasma glucose and lipid profile were measured. We measured serum IL-32 protein by ELISA and the rs45499297 polymorphism by PCR-RFLP. We used several databases to build the IL-32 gene network and infer transcription factors that bind to this polymorphic site.

Results:

subjects underweight and with low fat percentages had lower levels of IL-32. CT genotype and allele C were less frequent in the overweight/obesity group than in the normal-weight group. Interestingly, this result remained only in the male gender. We found that the transcription factors Hepatocyte Nuclear Factor and Specificity Protein 1 bind to this polymorphic site. In addition, we infer that IL-32 is involved in metabolic pathways related to viral infections.

Conclusion:

the TC genotype is associated with overweight/obesity. The decrease in levels of IL-32 observed in underweight and low fat percentage groups could be due to an impaired inflammatory profile. The in silico analysis showed that several transcriptional factors bind at this polymorphic site, and that the enrichment of the metabolic pathways is diverse.

Palabras clave : Obesity; Interleukin 32; BMI; Fat percentage; Polymorphism; In silico.

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