The interaction between the dietary inflammatory index and MC4R gene variants on cardiovascular risk factors

Habib Yarizadeh, Atieh Mirzababaei, Nasim Ghodoosi, Sara Pooyan, Kurosh Djafarian, Cain Clark, Khadijeh Mirzaei

    Research output: Contribution to journalArticlepeer-review

    15 Citations (Scopus)
    110 Downloads (Pure)


    Background: Previous studies have shown that the minor allele (C allele) for melanocortin 4 receptor (MC4R) rs17782313, may be associated with incidence of obesity and the risk of cardiovascular diseases (CVDs). Moreover, inflammation caused by the diet has been shown to have, potentially, unfavorable effects on CVD risk. This study used a linear regression model to investigate the interactions between the dietary inflammatory index (DII) and MC4R gene variants on markers of CVD. Methods: This comparative cross-sectional study was conducted on 266 Iranian women with overweight and obesity. A food frequency questionnaire (FFQ) with 147 items was used to assess dietary intakes. Individuals were categorized into three groups based on rs17782313 genotype. Participants were also divided into four groups based on DII score. Results: Higher quartiles of DII were associated with lower levels of high density lipoproteins (HDL) (p = 0.01) and higher levels of triglycerides (TG) (p = 0.04). There was a significant difference between genotypes for insulin (p < 0.001), HOMA index (p < 0.001), total body mineral content (p = 0.03), and bone mineral content (BMC) (p = 0.04). Our findings also showed significant interactions between DII score and rs17782313 polymorphism on total cholesterol, total body mineral content, BMC, soft lean mass (SLM), fat free mass (FFM) (p = 0.03), skeletal muscle mass (SMM), and basal metabolic rate (BMR). Conclusion: Higher DII scores were associated with lower HDL levels and higher TG levels, respectively; whilst significant differences were observed between the genotypes of rs17782313 for insulin and HOMA index, total body mineral content, and BMC. These results highlight that dietary compositions, gene variants, and their interaction, should be considered in CVD risk assessment.

    Original languageEnglish
    Pages (from-to)488-495
    Number of pages8
    JournalClinical Nutrition
    Issue number2
    Early online date3 Jun 2020
    Publication statusPublished - Feb 2021

    Bibliographical note

    NOTICE: this is the author’s version of a work that was accepted for publication in Clinical Nutrition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Clinical Nutrition, 40:2, (2021) DOI: 10.1016/j.clnu.2020.04.044

    © 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International


    This study was supported by grants (ID: 95-03-161-33142 and 96-01-161-34479 ) from Tehran University of Medical Sciences (TUMS), Tehran, Iran.


    • Cardiovascular risk factors
    • Dietary inflammatory index
    • MC4R gene

    ASJC Scopus subject areas

    • Nutrition and Dietetics
    • Critical Care and Intensive Care Medicine


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