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

Harvard

Hang, D, Zeleznik, OA, He, X, Guasch-Ferre, M, Jiang, X, Li, J, Liang, L, Eliassen, AH, Clish, CB, Chan, AT, Hu, Z, Shen, H, Wilson, KM, Mucci, LA, Sun, Q, Hu, FB, Willett, WC, Giovannucci, EL & Song, M 2020, 'Metabolomic signatures of long-term coffee consumption and risk of type 2 diabetes in women', Diabetes Care, vol. 43, no. 10, pp. 2588-2596. https://doi.org/10.2337/dc20-0800

APA

Hang, D., Zeleznik, O. A., He, X., Guasch-Ferre, M., Jiang, X., Li, J., Liang, L., Eliassen, A. H., Clish, C. B., Chan, A. T., Hu, Z., Shen, H., Wilson, K. M., Mucci, L. A., Sun, Q., Hu, F. B., Willett, W. C., Giovannucci, E. L., & Song, M. (2020). Metabolomic signatures of long-term coffee consumption and risk of type 2 diabetes in women. Diabetes Care, 43(10), 2588-2596. https://doi.org/10.2337/dc20-0800

Vancouver

Hang D, Zeleznik OA, He X, Guasch-Ferre M, Jiang X, Li J et al. Metabolomic signatures of long-term coffee consumption and risk of type 2 diabetes in women. Diabetes Care. 2020;43(10):2588-2596. https://doi.org/10.2337/dc20-0800

Author

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. / Metabolomic signatures of long-term coffee consumption and risk of type 2 diabetes in women. In: Diabetes Care. 2020 ; Vol. 43, No. 10. pp. 2588-2596.

Bibtex

@article{d959a1390569443fbc12f6efe007b829,
title = "Metabolomic signatures of long-term coffee consumption and risk of type 2 diabetes in women",
abstract = "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{\textquoteright} 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.",
author = "Dong Hang and Zeleznik, {Oana A.} and Xiaosheng He and Marta Guasch-Ferre and Xia Jiang and Jun Li and Liming Liang and Eliassen, {A. Heather} and Clish, {Clary B.} and Chan, {Andrew T.} and Zhibin Hu and Hongbing Shen and Wilson, {Kathryn M.} and Mucci, {Lorelei A.} and Qi Sun and Hu, {Frank B.} and Willett, {Walter C.} and Giovannucci, {Edward L.} and Mingyang Song",
note = "Publisher Copyright: {\textcopyright} 2020 by the American Diabetes Association.",
year = "2020",
doi = "10.2337/dc20-0800",
language = "English",
volume = "43",
pages = "2588--2596",
journal = "Diabetes Care",
issn = "1935-5548",
publisher = "American Diabetes Association",
number = "10",

}

RIS

TY - JOUR

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