Association of coffee consumption with type 2 diabetes and glycemic traits: a Mendelian randomization study
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
BACKGROUND/OBJECTIVES: Habitual coffee consumption was inversely associated with type 2 diabetes (T2D) and hyperglycemia in obser vational studies, but the causality of the association remains uncertain. This study tested a causal association of genetically predicted coffee consumption with T2D using the Mendelian randomization (MR) method. SUBJECTS/METHODS: We used five single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) associated with habitual coffee consumption in a previous genome-wide association study among Koreans. We analyzed the associations between IVs and T2D, fasting blood glucose (FBG), 2h-postprandial glucose (2h-PG), and glycated haemoglobin (HbA1C) levels. The MR results were further evaluated by standard sensitivity tests for possible pleiotropism. RESULTS: MR analysis revealed that increased genetically predicted coffee consumption was associated with a reduced prevalence of T2D; ORs per one-unit increment of log- transformed cup per day of coffee consumption ranged from 0.75 (0.62–0.90) for the weighted mode-based method to 0.79 (0.62–0.99) for Wald ratio estimator. We also used the inverse-variance-weighted method, weighted median-based method, MR-Egger method, and MR-PRESSO method. Similarly, genetically predicted coffee consumption was inversely associated with FBG and 2h-PG levels but not with HbA1c. Sensitivity measures gave similar results without evidence of pleiotropy. CONCLUSIONS: A genetic predisposition to habitual coffee consumption was inversely associated with T2D prevalence and lower levels of FBG and 2h-PG profiles. Our study warrants further exploration.
Abstract
BACKGROUND/OBJECTIVES: Habitual coffee consumption was inversely associated with type 2 diabetes (T2D) and hyperglycemia in obser vational studies, but the causality of the association remains uncertain. This study tested a causal association of genetically predicted coffee consumption with T2D using the Mendelian randomization (MR) method. SUBJECTS/METHODS: We used five single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) associated with habitual coffee consumption in a previous genome-wide association study among Koreans. We analyzed the associations between IVs and T2D, fasting blood glucose (FBG), 2h-postprandial glucose (2h-PG), and glycated haemoglobin (HbA1C) levels. The MR results were further evaluated by standard sensitivity tests for possible pleiotropism. RESULTS: MR analysis revealed that increased genetically predicted coffee consumption was associated with a reduced prevalence of T2D; ORs per one-unit increment of log- transformed cup per day of coffee consumption ranged from 0.75 (0.62–0.90) for the weighted mode-based method to 0.79 (0.62–0.99) for Wald ratio estimator. We also used the inverse-variance-weighted method, weighted median-based method, MR-Egger method, and MR-PRESSO method. Similarly, genetically predicted coffee consumption was inversely associated with FBG and 2h-PG levels but not with HbA1c. Sensitivity measures gave similar results without evidence of pleiotropy. CONCLUSIONS: A genetic predisposition to habitual coffee consumption was inversely associated with T2D prevalence and lower levels of FBG and 2h-PG profiles. Our study warrants further exploration.
참고문헌 (61)
- Saeedi P, "Global and regional diabetes prevalence estimates for 2019 and projections for 2030and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition", Diabetes Res Clin Pract, 157, pp.107843~ (2019)
- Lin X, "Global, regional, and national burden and trend of diabetes in 195 countries and territories : an analysis from 1990 to 2025", Sci Rep, 10, pp.14790~ (2020)
- Bommer C, "Global economic burden of diabetes in adults : projections from 2015 to 2030", Diabetes Care, 41, pp.963~970 (2018)
- Cousin E, "Diabetes mortality and trends before 25 years of age : an analysis of the Global Burden of Disease Study 2019", Lancet Diabetes Endocrinol, 10, pp.177~192 (2022)
- Jiang X, "Coffee and caffeine intake and incidence of type 2 diabetes mellitus : a metaanalysis of prospective studies", Eur J Nutr, 53, pp.25~38 (2014)
- Bhupathiraju SN, "Changes in coffee intake and subsequent risk of type 2 diabetes : three large cohorts of US men and women", Diabetologia, 57, pp.1346~1354 (2014)
- Kim Y, "Coffee consumption and all-cause and cause-specific mortality : a metaanalysis by potential modifiers", Eur J Epidemiol, 34, pp.731~752 (2019)
- Cho HJ, "Association of coffee drinking with all-cause and cause-specific mortality in over 190, 000 individuals : data from two prospective studies", Int J Food Sci Nutr, 73, pp.513~521 (2022)
- Alperet DJ, "A randomized placebo-controlled trial of the effect of coffee consumption on insulin sensitivity : Design and baseline characteristics of the Coffee for METabolic Health(COMETH)study", Contemp Clin Trials Commun, 4, pp.105~117 (2016)
- Ohnaka K, "Effects of 16-week consumption of caffeinated and decaffeinated instant coffee on glucose metabolism in a randomized controlled trial", J Nutr Metab, 2012, pp.207426~ (2012)
- Alperet DJ, "The effect of coffee consumption on insulin sensitivity and other biological risk factors for type 2diabetes : a randomized placebo-controlled trial", Am J Clin Nutr, 111, pp.448~458 (2019)
- Kempf K, "Effects of coffee consumption on subclinical inflammation and other risk factors for type 2 diabetes : a clinical trial", Am J Clin Nutr, 91, pp.950~957 (2010)
- Lawlor DA, "Mendelian randomization : Using genes as instruments for making causal inferences in epidemiology", Stat Med, 27, pp.1133~1163 (2008)
- Burgess S, "Mendelian randomization analysis with multiple genetic variants using summarized data", Genet Epidemiol, 37, pp.658~665 (2013)
- Qian Y, "Coffee consumption and risk of stroke : a Mendelian randomization study", Ann Neurol, 87, pp.525~532 (2020)
- Wang X, "Coffee types and type 2 diabetes mellitus: large-scale cross-phenotype association study and Mendelian randomization analysis", Front Endocrinol(Lausanne), 13, pp.818831~ (2022)
- Kim AN, "Coffee consumption, genetic polymorphisms, and the risk of type 2 diabetes mellitus : a pooled analysis of four prospective cohort studies", Int J Environ Res Public Health, 17, pp.5379~ (2020)
- Mahajan A, "Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility", Nat Genet, 46, pp.234~244 (2014)
- 홍경원, "Genome-Wide Association Studies of the Korea Association REsource (KARE) Consortium", Genomics & Informatics, 8(3), pp.101~102 (2010), 한국유전체학회
- Kim Y, "Cohort profile : the Korean Genome and Epidemiology Study(KoGES)Consortium", Int J Epidemiol, 46, pp.e20~ (2017)
- Chang Bum Hong, "KAREBrowser: SNP database of Korea Association REsource Project", BMB Reports, 45(1), pp.47~50 (2012), 생화학분자생물학회
- Jin T, "Interactions of habitual coffee consumption by genetic polymorphisms with the risk of prediabetes and type 2 diabetes combined", Nutrients, 12, pp.2228~ (2020)
- YounjhinAhn, "Development of a Semi-quantitative Food Frequency Questionnaire Based on Dietary Data from the Korea National Health and Nutrition Examination Survey", Nutritional Sciences, 6(3), pp.173~184 (2003), 한국영양학회
- American Diabetes Association Professional Practice Committee, "2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2022", Diabetes Care, 45, pp.S17~S38 (2021)
- Cho YS, "A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits", Nat Genet, 41, pp.527~534 (2009)
- Kim YJ, "Large-scale genome-wide association studies in east Asians identify new genetic loci influencing metabolic traits", Nat Genet, 43, pp.990~995 (2011)
- Rabbee N, "A genotype calling algorithm for affymetrix SNP arrays", Bioinformatics, 22, pp.7~12 (2006)
- Kim YK, "Gene-based copy number variation study reveals a microdeletion at 12q24 that influences height in the Korean population", Genomics, 101, pp.134~138 (2013)
- Wang T, "Genetic susceptibility, change in physical activity, and long-term weight gain", Diabetes, 66, pp.2704~2712 (2017)
- Bowden J, "Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator", Genet Epidemiol, 40, pp.304~314 (2016)
- Palmer TM, "Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses", Am J Epidemiol, 173, pp.1392~1403 (2011)
- Burgess S, "Combining information on multiple instrumental variables in Mendelian randomization : comparison of allele score and summarized data methods", Stat Med, 35, pp.1880~1906 (2016)
- Burgess S, "A robust and efficient method for Mendelian randomization with hundreds of genetic variants", Nat Commun, 11, pp.376~ (2020)
- Bowden J, "Mendelian randomization with invalid instruments : effect estimation and bias detection through Egger regression", Int J Epidemiol, 44, pp.512~525 (2015)
- Verbanck M, "Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases", Nat Genet, 50, pp.693~698 (2018)
- Lee JK, "Habitual coffee intake, genetic polymorphisms, and type 2diabetes", Eur J Endocrinol, 172, pp.595~601 (2015)
- Shin S, "Coffee and tea consumption and mortality from all causes, cardiovascular disease and cancer : a pooled analysis of prospective studies from the Asia Cohort Consortium", Int J Epidemiol, 51, pp.626~640 (2022)
- Ding M, "Caffeinated and decaffeinated coffee consumption and risk of type 2 diabetes : a systematic review and a dose-response meta-analysis", Diabetes Care, 37, pp.569~586 (2014)
- O’Keefe JH, "Effects of habitual coffee consumption on cardiometabolic disease, cardiovascular health, and all-cause mortality", J Am Coll Cardiol, 62, pp.1043~1051 (2013)
- Huxley R, "Coffee, decaffeinated coffee, and tea consumption in relation to incident type 2 diabetes mellitus : a systematic review with meta-analysis", Arch Intern Med, 169, pp.2053~2063 (2009)
- Carlström M, "Coffee consumption and reduced risk of developing type 2 diabetes : a systematic review with meta-analysis", Nutr Rev, 76, pp.395~417 (2018)
- Nordestgaard AT, "Coffee intake and risk of obesity, metabolic syndrome and type 2 diabetes : a Mendelian randomization study", Int J Epidemiol, 44, pp.551~565 (2015)
- Kwok MK, "Habitual coffee consumption and risk of type 2 diabetes, ischemic heart disease, depression and Alzheimer’s disease : a Mendelian randomization study", Sci Rep, 6, pp.36500~ (2016)
- Nicolopoulos K, "Association between habitual coffee consumption and multiple disease outcomes : a Mendelian randomisation phenome-wide association study in the UK Biobank", Clin Nutr, 39, pp.3467~3476 (2020)
- Zhou A, "Long-term coffee consumption, caffeine metabolism genetics, and risk of cardiovascular disease : a prospective analysis of up to 347, 077 individuals and 8368 cases", Am J Clin Nutr, 109, pp.509~516 (2019)
- Nordestgaard AT, "Causal relationship from coffee consumption to diseases and mortality : a review of observational and Mendelian randomization studies including cardiometabolic diseases, cancer, gallstones and other diseases", Eur J Nutr, 61, pp.573~587 (2022)
- Coffee and Caffeine Genetics Consortium, "Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption", Mol Psychiatry, 20, pp.647~656 (2015)
- Yuan S, "Obesity, type 2 diabetes, lifestyle factors, and risk of gallstone disease : a Mendelian randomization investigation", Clin Gastroenterol Hepatol, 20, pp.e529~e537 (2022)
- Kusumah J, "Coffee constituents with antiadipogenic and antidiabetic potentials : a narrative review", Food Chem Toxicol, 161, pp.112821~ (2022)
- Cao H, "Dietary polyphenols and type 2diabetes : Human Study and Clinical Trial", Crit Rev Food Sci Nutr, 59, pp.3371~3379 (2019)
- Boon EA, "The acute effect of coffee on endothelial function and glucose metabolism following a glucose load in healthy human volunteers", Food Funct, 8, pp.3366~3373 (2017)
- Hang D, "Metabolomic signatures of long-term coffee consumption and risk of type 2 diabetes in women", Diabetes Care, 43, pp.2588~2596 (2020)
- Kosmalski M, "Dietary intake of polyphenols or polyunsaturated fatty acids and its relationship with metabolic and inflammatory state in patients with type 2 diabetes mellitus", Nutrients, 14, pp.1083~ (2022)
- Micek A, "Polyphenol-rich and alcoholic beverages and metabolic status in adults living in Sicily, Southern Italy", Foods, 10, pp.383~ (2021)
- Grabež M, "A prospective, randomized, double-blind, placebo-controlled trial of polyphenols on the outcomes of inflammatory factors and oxidative stress in patients with type 2 diabetes mellitus", Rev Cardiovasc Med, 23, pp.57~ (2022)
- Rudrapal M, "Dietary polyphenols and their role in oxidative stress-induced human diseases : insights into protective effects, antioxidant potentials and mechanism(s)of action", Front Pharmacol, 13, pp.806470~ (2022)
- Fernandes I, "The role of nutraceutical containing polyphenols in diabetes prevention", Metabolites, 12, pp.184~ (2022)
- Murase T, "Coffee polyphenols suppress diet-induced body fat accumulation by downregulating SREBP-1c and related molecules in C57BL", 6J mice, 2011, pp.300, E122~E133
- Park SY, "Association of coffee consumption with total and cause-specific mortality among nonwhite populations", Ann Intern Med, 167, pp.228~235 (2017)
- Freedman ND, "Association of coffee drinking with total and cause-specific mortality", N Engl J Med, 366, pp.1891~1904 (2012)
- Loftfield E, "Association of coffee consumption with overall and cause-specific mortality in a large US prospective cohort study", Am J Epidemiol, 182, pp.1010~1022 (2015)