A Combination of Red and Processed Meat Intake and Polygenic Risk Score Influences the Incidence of Hyperuricemia in Middle-aged Korean Adults

Overview

Journal Nutr Res Pract

Specialty Nutritional Sciences

Date 2024 Oct 14

PMID 39398885

Authors

SuYeon Lee

Dayeon Shin

Affiliations

Soon will be listed here.

Abstract

Background/objectives: The high consumption of purine-rich meat is associated with hyperuricemia. However, there is limited evidence linking the consumption of red and processed meat to the genetic risk of hyperuricemia. We investigated the relationship between various combinations of red and processed meat consumption and the polygenic risk scores (PRSs) and the incidence of hyperuricemia in middle-aged Koreans.

Subjects/methods: We analyzed the data from 44,053 participants aged ≥40 years sourced from the Health Examinees (HEXA) cohort of the Korean Genome and Epidemiology Study (KoGES). Information regarding red and processed meat intake was obtained using a semiquantitative food frequency questionnaire (SQ-FFQ). We identified 69 independent single-nucleotide polymorphisms (SNPs) at uric acid-related loci using genome-wide association studies (GWASs) and clumping analyses. The individual PRS, which is the weighted sum of the effect size of each allele at the SNP, was calculated. We used multivariable Cox proportional hazards models adjusted for covariates to determine the relationship between red and processed meat intake and the PRS in the incidence of hyperuricemia.

Results: During an average follow-up period of 5 years, 2,556 patients with hyperuricemia were identified. For both men and women, the group with the highest red and processed meat intake and the highest PRS was positively associated with the development of hyperuricemia when compared with the group with the lowest red and processed meat intake and the lowest PRS (hazard ratio [HR], 2.72; 95% confidence interval [CI], 2.10-3.53; < 0.0001; HR, 3.28; 95% CI, 2.45-4.40; < 0.0001).

Conclusion: Individuals at a high genetic risk for uric acid levels should moderate their consumption of red and processed meat to prevent hyperuricemia.

References

Wallace C, Newhouse S, Braund P, Zhang F, Tobin M, Falchi M . Genome-wide association study identifies genes for biomarkers of cardiovascular disease: serum urate and dyslipidemia. Am J Hum Genet. 2008; 82(1):139-49. PMC: 2253977. DOI: 10.1016/j.ajhg.2007.11.001. View

Nagahama K, Inoue T, Iseki K, Touma T, Kinjo K, Ohya Y . Hyperuricemia as a predictor of hypertension in a screened cohort in Okinawa, Japan. Hypertens Res. 2005; 27(11):835-41. DOI: 10.1291/hypres.27.835. View

Rai S, Fung T, Lu N, Keller S, Curhan G, Choi H . The Dietary Approaches to Stop Hypertension (DASH) diet, Western diet, and risk of gout in men: prospective cohort study. BMJ. 2017; 357:j1794. PMC: 5423545. DOI: 10.1136/bmj.j1794. View

Wang L, Ma Q, Yao H, He L, Fang B, Cai W . Association of GCKR rs780094 polymorphism with circulating lipid levels in type 2 diabetes and hyperuricemia in Uygur Chinese. Int J Clin Exp Pathol. 2020; 11(9):4684-4694. PMC: 6962982. View

Kim J, Kwak S, Lee H, Kim S, Choe J, Park S . Prevalence and incidence of gout in Korea: data from the national health claims database 2007-2015. Rheumatol Int. 2017; 37(9):1499-1506. DOI: 10.1007/s00296-017-3768-4. View

Torres R, De Miguel E, Bailen R, Banegas J, Puig J . Tubular urate transporter gene polymorphisms differentiate patients with gout who have normal and decreased urinary uric acid excretion. J Rheumatol. 2014; 41(9):1863-70. DOI: 10.3899/jrheum.140126. View

Leask M, Merriman T . The genetic basis of urate control and gout: Insights into molecular pathogenesis from follow-up study of genome-wide association study loci. Best Pract Res Clin Rheumatol. 2021; 35(4):101721. DOI: 10.1016/j.berh.2021.101721. View

Zhao J, Guo S, Schrodi S, He D . Trends in the Contribution of Genetic Susceptibility Loci to Hyperuricemia and Gout and Associated Novel Mechanisms. Front Cell Dev Biol. 2022; 10:937855. PMC: 9259951. DOI: 10.3389/fcell.2022.937855. View

Kaneko K, Aoyagi Y, Fukuuchi T, Inazawa K, Yamaoka N . Total purine and purine base content of common foodstuffs for facilitating nutritional therapy for gout and hyperuricemia. Biol Pharm Bull. 2014; 37(5):709-21. DOI: 10.1248/bpb.b13-00967. View

10.

Mandal A, Mount D . The molecular physiology of uric acid homeostasis. Annu Rev Physiol. 2014; 77:323-45. DOI: 10.1146/annurev-physiol-021113-170343. View

11.

Shima Y, Teruya K, Ohta H . Association between intronic SNP in urate-anion exchanger gene, SLC22A12, and serum uric acid levels in Japanese. Life Sci. 2006; 79(23):2234-7. DOI: 10.1016/j.lfs.2006.07.030. View

12.

Miao Z, Li C, Chen Y, Zhao S, Wang Y, Wang Z . Dietary and lifestyle changes associated with high prevalence of hyperuricemia and gout in the Shandong coastal cities of Eastern China. J Rheumatol. 2008; 35(9):1859-64. View

13.

Becker M, Schumacher Jr H, Wortmann R, MacDonald P, Eustace D, Palo W . Febuxostat compared with allopurinol in patients with hyperuricemia and gout. N Engl J Med. 2005; 353(23):2450-61. DOI: 10.1056/NEJMoa050373. View

14.

Gottier Nwafor J, Nowik M, Anzai N, Endou H, Wagner C . Metabolic Acidosis Alters Expression of Slc22 Transporters in Mouse Kidney. Kidney Blood Press Res. 2020; 45(2):263-274. DOI: 10.1159/000506052. View

15.

Park J, Kim Y, Kang J . Genome-wide meta-analysis revealed several genetic loci associated with serum uric acid levels in Korean population: an analysis of Korea Biobank data. J Hum Genet. 2021; 67(4):231-237. DOI: 10.1038/s10038-021-00991-1. View

16.

Wisely G, Miller A, Davis R, Thornquest Jr A, Johnson R, Spitzer T . Hepatocyte nuclear factor 4 is a transcription factor that constitutively binds fatty acids. Structure. 2002; 10(9):1225-34. DOI: 10.1016/s0969-2126(02)00829-8. View

17.

Rivera-Paredez B, Macias-Kauffer L, Fernandez-Lopez J, Villalobos-Comparan M, Martinez-Aguilar M, De La Cruz-Montoya A . Influence of Genetic and Non-Genetic Risk Factors for Serum Uric Acid Levels and Hyperuricemia in Mexicans. Nutrients. 2019; 11(6). PMC: 6627998. DOI: 10.3390/nu11061336. View

18.

Lee S, Yang H, Lee H, Park D, Kong S, Park S . Cross-phenotype association analysis of gastric cancer: in-silico functional annotation based on the disease-gene network. Gastric Cancer. 2023; 26(4):517-527. DOI: 10.1007/s10120-023-01380-7. View

19.

Cervero P, Himmel M, Kruger M, Linder S . Proteomic analysis of podosome fractions from macrophages reveals similarities to spreading initiation centres. Eur J Cell Biol. 2012; 91(11-12):908-22. DOI: 10.1016/j.ejcb.2012.05.005. View

20.

Arthur R, Wang T, Xue X, Kamensky V, Rohan T . Genetic Factors, Adherence to Healthy Lifestyle Behavior, and Risk of Invasive Breast Cancer Among Women in the UK Biobank. J Natl Cancer Inst. 2020; 112(9):893-901. PMC: 7492765. DOI: 10.1093/jnci/djz241. View