Literature DB >> 25551799

Toward systems epidemiology of coffee and health.

Marilyn C Cornelis1.   

Abstract

PURPOSE OF REVIEW: Coffee is one of the most widely consumed beverages in the world and has been associated with many health conditions. This review examines the limitations of the classic epidemiological approach to studies of coffee and health, and describes the progress in systems epidemiology of coffee and its correlated constituent, caffeine. Implications and applications of this growing body of knowledge are also discussed. RECENT
FINDINGS: Population-based metabolomic studies of coffee replicate coffee-metabolite correlations observed in clinical settings but have also identified novel metabolites of coffee response, such as specific sphingomyelin derivatives and acylcarnitines. Genome-wide analyses of self-reported coffee and caffeine intake and serum levels of caffeine support an overwhelming role for caffeine in modulating the coffee consumption behavior. Interindividual variation in the physiological exposure or response to any of the many chemicals present in coffee may alter the persistence and magnitude of their effects. It is thus imperative that future studies of coffee and health account for this variation.
SUMMARY: Systems epidemiological approaches promise to inform causality, parse the constituents of coffee responsible for health effects, and identify the subgroups most likely to benefit from increasing or decreasing coffee consumption.

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Year:  2015        PMID: 25551799     DOI: 10.1097/MOL.0000000000000143

Source DB:  PubMed          Journal:  Curr Opin Lipidol        ISSN: 0957-9672            Impact factor:   4.776


  12 in total

Review 1.  Coffee Drinking and Reduced Risk of Liver Cancer: Update on Epidemiological Findings and Potential Mechanisms.

Authors:  Manami Inoue; Shoichiro Tsugane
Journal:  Curr Nutr Rep       Date:  2019-09

2.  Caffeinated Coffee and Tea Consumption, Genetic Variation and Cognitive Function in the UK Biobank.

Authors:  Marilyn C Cornelis; Sandra Weintraub; Martha Clare Morris
Journal:  J Nutr       Date:  2020-08-01       Impact factor: 4.798

3.  Coffee Metabolites and Kidney Disease: Answers or More Questions?

Authors:  Marilyn C Cornelis; Britt Burton-Freeman
Journal:  Clin J Am Soc Nephrol       Date:  2021-11-04       Impact factor: 8.237

4.  Quantile-Specific Heritability may Account for Gene-Environment Interactions Involving Coffee Consumption.

Authors:  Paul T Williams
Journal:  Behav Genet       Date:  2020-01-03       Impact factor: 2.805

5.  Association of Coffee Consumption With Total and Cause-Specific Mortality Among Nonwhite Populations.

Authors:  Song-Yi Park; Neal D Freedman; Christopher A Haiman; Loïc Le Marchand; Lynne R Wilkens; Veronica Wendy Setiawan
Journal:  Ann Intern Med       Date:  2017-07-11       Impact factor: 25.391

Review 6.  The effect of green coffee extract supplementation on cardio metabolic risk factors: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Mehrnaz Morvaridi; Elham Rayyani; Malihe Jaafari; Alireza Khiabani; Mehran Rahimlou
Journal:  J Diabetes Metab Disord       Date:  2020-05-15

Review 7.  Coffee Consumption and the Risk of Thyroid Cancer: A Systematic Review and Meta-Analysis.

Authors:  Mi Ah Han; Jin Hwa Kim
Journal:  Int J Environ Res Public Health       Date:  2017-01-27       Impact factor: 3.390

8.  Recent consumption of a caffeine-containing beverage and serum biomarkers of cardiometabolic function in the UK Biobank.

Authors:  Marilyn C Cornelis
Journal:  Br J Nutr       Date:  2020-11-04       Impact factor: 3.718

9.  A prospective study of coffee intake and pancreatic cancer: results from the NIH-AARP Diet and Health Study.

Authors:  K A Guertin; N D Freedman; E Loftfield; R Z Stolzenberg-Solomon; B I Graubard; R Sinha
Journal:  Br J Cancer       Date:  2015-09-24       Impact factor: 7.640

Review 10.  Mendelian Randomization Studies of Coffee and Caffeine Consumption.

Authors:  Marilyn C Cornelis; Marcus R Munafo
Journal:  Nutrients       Date:  2018-09-20       Impact factor: 5.717

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