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Influence of IL1B , IL6 and IL10 gene variants and plasma fatty acid interaction on metabolic syndrome risk in a cross-sectional population-based study
- Source :
- Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Summary Background & aims Metabolic syndrome (MetS) is a cluster of interrelated risk factors for type 2 diabetes mellitus, and cardiovascular disease, with underlying inflammatory pathophysiology. Genetic variations and diet are well-known risk factor for MetS, but the interaction between these two factors is less explored. The aim of the study was to evaluate the influence of interaction between SNP of inflammatory genes (encoding interleukin (IL)-6, IL-1β and IL-10) and plasma fatty acids on the odds of MetS, in a population-based cross-sectional study. Methods Among participants of the Health Survey – Sao Paulo, 301 adults (19–59 y) from whom a blood sample was collected were included. Individuals with and without MetS were compared according to their plasma inflammatory biomarkers, fatty acid profile, and genotype frequency of the IL1B (rs16944, rs1143623, rs1143627, rs1143634 and rs1143643), IL6 (rs1800795, rs1800796 and rs1800797) and IL10 (rs1554286, rs1800871, rs1800872, rs1800890 and rs3024490) genes SNP. The influence of gene–fatty acids interaction on MetS risk was investigated. Results IL6 gene SNP rs1800795 G allele was associated with higher odds for MetS (OR = 1.88; p = 0.017). Gene–fatty acid interaction was found between the IL1B gene SNP rs116944 and stearic acid ( p inter = 0.043), and between rs1143634 and EPA ( p inter = 0.017). For the IL10 gene SNP rs1800896, an interaction was found for arachidonic acid ( p inter = 0.007) and estimated D5D activity ( p inter = 0.019). Conclusion The IL6 gene SNP rs1800795 G allele is associated with increased odds for MetS. Plasma fatty acid profile interacts with the IL1B and IL10 gene variants to modulate the odds for MetS. This and other interactions of risk factors can account for the unexplained heritability of MetS, and their elucidation can lead to new strategies for genome-customized prevention of MetS.
- Subjects :
- Adult
Male
0301 basic medicine
medicine.medical_specialty
Interleukin-1beta
Population
030209 endocrinology & metabolism
Critical Care and Intensive Care Medicine
Bioinformatics
03 medical and health sciences
0302 clinical medicine
Risk Factors
Polymorphism (computer science)
Internal medicine
Humans
Medicine
SNP
Genetic Predisposition to Disease
Allele
Risk factor
education
Metabolic Syndrome
chemistry.chemical_classification
education.field_of_study
Nutrition and Dietetics
Interleukin-6
business.industry
Fatty Acids
Fatty acid
Middle Aged
medicine.disease
Interleukin-10
Genotype frequency
DOENÇAS CARDIOVASCULARES
Cross-Sectional Studies
030104 developmental biology
Endocrinology
chemistry
Female
Metabolic syndrome
business
Subjects
Details
- ISSN :
- 02615614
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Clinical Nutrition
- Accession number :
- edsair.doi.dedup.....a42e0cf5a31ca0ef998158e63928d260
- Full Text :
- https://doi.org/10.1016/j.clnu.2017.02.009