Gene-diet interaction analysis using novel weighted food scores discovers the adipocytokine signaling pathway associated with the development of type 2 diabetes
- 주제(키워드) type 2 diabetes , recommended food score , polygenic risk scores , case-control study , dietary patterns
- 주제(기타) Endocrinology & Metabolism
- 설명문(일반) [Apio, Catherine] Seoul Natl Univ, Interdisciplinary Program Bioinformat, Seoul, South Korea; [Chung, Wonil] Soongsil Univ, Dept Stat & Actuarial Sci, Seoul, South Korea; [Moon, Min Kyong] Seoul Natl Univ, Coll Med, Dept Internal Med, Seoul, South Korea; [Kwon, Oran] Ewha Womans Univ, Dept Nutr Sci & Food Management, Seoul, South Korea; [Park, Taesung] Seoul Natl Univ, Dept Stat, Seoul, South Korea
- 등재 SCIE, SCOPUS
- OA유형 Green Published, gold
- 발행기관 FRONTIERS MEDIA SA
- 발행년도 2023
- URI http://www.dcollection.net/handler/ewha/000000211567
- 본문언어 영어
- Published As https://doi.org/10.3389/fendo.2023.1165744
- PubMed 37680885
초록/요약
Introduction The influence of dietary patterns measured using Recommended Food Score (RFS) with foods with high amounts of antioxidant nutrients for Type 2 diabetes (T2D) was analyzed. Our analysis aims to find associations between dietary patterns and T2D and conduct a gene-diet interaction analysis related to T2D.Methods Data analyzed in the current study were obtained from the Korean Genome and Epidemiology Study Cohort. The dietary patterns of 46 food items were assessed using a validated food frequency questionnaire. To maximize the predictive power of the RFS, we propose two weighted food scores, namely HisCoM-RFS calculated using the novel Hierarchical Structural Component model (HisCoM) and PLSDA-RFS calculated using Partial Least Squares-Discriminant Analysis (PLS-DA) method.Results Both RFS (OR: 1.11; 95% CI: 1.03- 1.20; P = 0.009) and PLSDA-RFS (OR: 1.10; 95% CI: 1.02-1.19, P = 0.011) were positively associated with T2D. Mapping of SNPs (P < 0.05) from the interaction analysis between SNPs and the food scores to genes and pathways yielded some 12 genes (CACNA2D3, RELN, DOCK2, SLIT3, CTNNA2, etc.) and pathways associated with T2D. The strongest association was observed with the adipocytokine signalling pathway, highlighting 32 genes (STAT3, MAPK10, MAPK8, IRS1, AKT1-3, ADIPOR2, etc.) most likely associated with T2D. Finally, the group of the subjects in low, intermediate and high using both the food scores and a polygenic risk score found an association between diet quality groups with issues at high genetic risk of T2D.Conclusion A dietary pattern of poor amounts of antioxidant nutrients is associated with the risk of T2D, and diet affects pathway mechanisms involved in developing T2D.
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