Metabolomic signatures of long-term coffee consumption and risk of type 2 diabetes in women
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Metabolomic signatures of long-term coffee consumption and risk of type 2 diabetes in women. / Hang, Dong; Zeleznik, Oana A.; He, Xiaosheng; Guasch-Ferre, Marta; Jiang, Xia; Li, Jun; Liang, Liming; Eliassen, A. Heather; Clish, Clary B.; Chan, Andrew T.; Hu, Zhibin; Shen, Hongbing; Wilson, Kathryn M.; Mucci, Lorelei A.; Sun, Qi; Hu, Frank B.; Willett, Walter C.; Giovannucci, Edward L.; Song, Mingyang.
In: Diabetes Care, Vol. 43, No. 10, 2020, p. 2588-2596.Research output: Contribution to journal › Journal article › Research › peer-review
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T1 - Metabolomic signatures of long-term coffee consumption and risk of type 2 diabetes in women
AU - Hang, Dong
AU - Zeleznik, Oana A.
AU - He, Xiaosheng
AU - Guasch-Ferre, Marta
AU - Jiang, Xia
AU - Li, Jun
AU - Liang, Liming
AU - Eliassen, A. Heather
AU - Clish, Clary B.
AU - Chan, Andrew T.
AU - Hu, Zhibin
AU - Shen, Hongbing
AU - Wilson, Kathryn M.
AU - Mucci, Lorelei A.
AU - Sun, Qi
AU - Hu, Frank B.
AU - Willett, Walter C.
AU - Giovannucci, Edward L.
AU - Song, Mingyang
N1 - Publisher Copyright: © 2020 by the American Diabetes Association.
PY - 2020
Y1 - 2020
N2 - OBJECTIVE Coffee may protect against multiple chronic diseases, particularly type 2 diabetes, but the mechanisms remain unclear. RESEARCH DESIGN AND METHODS Leveraging dietary and metabolomic data in two large cohorts of women (the Nurses’ Health Study [NHS] and NHSII), we identified and validated plasma metabolites associated with coffee intake in 1,595 women. We then evaluated the prospective association of coffee-related metabolites with diabetes risk and the added predictivity of these metabolites for diabetes in two nested case-control studies (n 5 457 case and 1,371 control subjects). RESULTS Of 461 metabolites, 34 were identified and validated to be associated with total coffee intake, including 13 positive associations (primarily trigonelline, polyphenol metabolites, and caffeine metabolites) and 21 inverse associations (primarily triacylglycerols [TAGs] and diacylglycerols [DAGs]). These associations were generally consistent for caffeinated and decaffeinated coffee, except for caffeine and its metabolites that were only associated with caffeinated coffee intake. The three cholesteryl esters positively associated with coffee intake showed inverse associations with diabetes risk, whereas the 12 metabolites negatively associated with coffee (5 DAGs and 7 TAGs) showed positive associations with diabetes. Adding the 15 diabetes-associated metabolites to a classical risk factor–based prediction model increased the C-statistic from 0.79 (95% CI 0.76, 0.83) to 0.83 (95% CI 0.80, 0.86) (P < 0.001). Similar improvement was observed in the validation set. CONCLUSIONS Coffee consumption is associated with widespread metabolic changes, among which lipid metabolites may be critical for the antidiabetes benefit of coffee. Coffeerelated metabolites might help improve prediction of diabetes, but further validation studies are needed.
AB - OBJECTIVE Coffee may protect against multiple chronic diseases, particularly type 2 diabetes, but the mechanisms remain unclear. RESEARCH DESIGN AND METHODS Leveraging dietary and metabolomic data in two large cohorts of women (the Nurses’ Health Study [NHS] and NHSII), we identified and validated plasma metabolites associated with coffee intake in 1,595 women. We then evaluated the prospective association of coffee-related metabolites with diabetes risk and the added predictivity of these metabolites for diabetes in two nested case-control studies (n 5 457 case and 1,371 control subjects). RESULTS Of 461 metabolites, 34 were identified and validated to be associated with total coffee intake, including 13 positive associations (primarily trigonelline, polyphenol metabolites, and caffeine metabolites) and 21 inverse associations (primarily triacylglycerols [TAGs] and diacylglycerols [DAGs]). These associations were generally consistent for caffeinated and decaffeinated coffee, except for caffeine and its metabolites that were only associated with caffeinated coffee intake. The three cholesteryl esters positively associated with coffee intake showed inverse associations with diabetes risk, whereas the 12 metabolites negatively associated with coffee (5 DAGs and 7 TAGs) showed positive associations with diabetes. Adding the 15 diabetes-associated metabolites to a classical risk factor–based prediction model increased the C-statistic from 0.79 (95% CI 0.76, 0.83) to 0.83 (95% CI 0.80, 0.86) (P < 0.001). Similar improvement was observed in the validation set. CONCLUSIONS Coffee consumption is associated with widespread metabolic changes, among which lipid metabolites may be critical for the antidiabetes benefit of coffee. Coffeerelated metabolites might help improve prediction of diabetes, but further validation studies are needed.
U2 - 10.2337/dc20-0800
DO - 10.2337/dc20-0800
M3 - Journal article
C2 - 32788283
AN - SCOPUS:85091469979
VL - 43
SP - 2588
EP - 2596
JO - Diabetes Care
JF - Diabetes Care
SN - 1935-5548
IS - 10
ER -
ID: 357885520