Interaction between 3-SNP genetic risk score and dietary fats intake on inflammatory markers among overweight and obese women.

Sahand Tehrani Fateh, Farideh Shiraseb, Mohammad Mahdi Hajinasab, Sahar Noori, Cain C T Clark, Khadijeh Mirzaei

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Article in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Sahand Tehrani FatehSchool of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.

Farideh ShirasebDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Science (TUMS), Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran.

Mohammad Mahdi HajinasabDepartment of Nutrition, Electronic Health and Statistics Surveillance Research Center, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Sahar NooriDepartment of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Cain C T ClarkCentre for Intelligent Healthcare, Coventry University, CV1 5FB Coventry, U.K.

Khadijeh MirzaeiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Science (TUMS), Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran.ORCID 0000-0001-5592-193X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study, for the first time, sought to investigate whether the interaction between the GRS consists of three SNPs (CAV-1, CRY-1, MC4R) and fat intake is associated with inflammatory markers among Iranian overweight and obese women. Methods: This cross-sectional study was conducted with 246 overweight and obese women, aged 18-48 years. Three SNPs, including CAV-1 rs3807992, CRY-1 rs2287161, and MC4R rs17782313, were genotyped using PCR-RFLP to calculate the genetic risk score (GRS) for each participant. Dietary fat intake was measured using a validated semi-quantitative food frequency questionnaire (FFQ). C-reactive protein (CRP), interleukin-1β (IL-1β), transforming growth factor-β (TGF-β), monocyte chemoattractant protein-1 (MCP-1), plasminogen activator inhibitor-1 (PAI-1), and Galectin-3 (Gal-3) were assessed as the primary outcomes of the study. Results: After controlling for confounding variables, a significant interaction between high total fat intake and high GRS, compared to the reference group, was found for TGF-β level ( Conclusions: Consuming different types of fats can influence the interaction between GRS and inflammatory markers, suggesting further research is needed to fully understand this relationship. Supplementary information: The online version contains supplementary material available at 10.1007/s40200-024-01542-z.

Indexed as

Dietary fat intakeGenetic risk scoreInflammatory markersObesityOverweightSingle nucleotide polymorphismWomens

Identifiers

PMID40093786

DOI10.1007/s40200-024-01542-z

PMCPMC11909376

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