Plasma metabolite biomarkers of boiled and filtered coffee intake and their association with type 2 diabetes risk

2020 ◽  
Vol 287 (4) ◽  
pp. 405-421 ◽  
Author(s):  
L. Shi ◽  
C. Brunius ◽  
I. Johansson ◽  
I.A. Bergdahl ◽  
O. Rolandsson ◽  
...  
2020 ◽  
Author(s):  
Dong Hang ◽  
Oana A. Zeleznik ◽  
Xiaosheng He ◽  
Marta Guasch-Ferre ◽  
Xia Jiang ◽  
...  

<b>Objective:</b> Coffee may protect against multiple chronic diseases, particularly type 2 diabetes, but the mechanisms remain unclear. <p><b>Research Design and Methods: </b>Leveraging dietary and metabolomic data in two large cohorts of women (the Nurses’ Health Study I and II), we identified and validated plasma metabolites associated with coffee intake in 1595 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=457 cases and 1371 controls). </p> <p><b>Results: </b>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 and diacylglycerols). 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 (five diacylglycerols and seven triacylglycerols) showed positive associations with diabetes. Adding the 15 diabetes-associated metabolites to classical risk factors-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) (<i>P</i><0.001). Similar improvement was observed in the validation set.</p> <p><b>Conclusion: </b>Coffee consumption is associated with widespread metabolic changes, among which lipid metabolites may be critical for the anti- diabetes benefit of coffee. Coffee-related metabolites might help improve prediction of diabetes, but further validation studies <a>are </a>needed.</p>


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1070-1070
Author(s):  
Carolina Ochoa-Rosales ◽  
Niels van der Schaft ◽  
Kim Braun ◽  
Frederick Ho ◽  
Fanny Petermann ◽  
...  

Abstract Objectives Given its popularity, there is an increasing interest in the study of coffee intake and its effect on health. Previous studies linked coffee consumption to lower type 2 diabetes (T2D) risk. However, potential underlying mechanisms remain unclear. We hypothesized that coffee's effects on systemic inflammation may play a role. We studied cross sectional and longitudinal associations of habitual coffee consumption with T2D risk and inflammation. Methods Participants from UK Biobank (UKB, n = 145,370) and Rotterdam Study (RS, n = 7172) cohorts were included. Coffee intake data were collected through self-administrated food frequency questionnaire or during home interviews. We studied associations of coffee intake with incident T2D using cox proportional hazard models; with longitudinally measured insulin resistance (HOMA IR) through linear mixed effect models; with serum baseline levels of inflammation markers using linear regressions; and the role of inflammation in coffee-T2D associations using mediation analysis. Models were adjusted for sociodemographic, lifestyle and health factors. Results were respectively expressed as hazard ratio (HR); β log transformed HOMA IR level; β log transformed ug/mL; and percentage mediated; and 95% confidence interval [95% CI]. Results UKB participants were 58% female and 55.2 years in average; RS were 59.7% female and 65.1 years. The median follow up was 7 (UKB) and 9 (RS) years. The modal coffee consumption was 0.5–2 cups/day (UKB) and 3–4 cups/day (RS). An increase of one coffee cup/day was associated with 4–6% lower T2D risk (RS HR 0.94 [95% CI 0.90; 0.98]; UKB HR 0.96 [0.94; 0.98]); lower HOMA IR (RS β −0.017 [−0.024; −0.010]); lower C reactive protein (CRP, RS β −0.014 [−0.022; −0.005]; UKBB β −0.011 [−0.012; −0.009] and higher adiponectin (RS β 0.025 [0.007; 0.042]. About coffee types, habitual consumers of filtered coffee had the lowest T2D risk (UKB HR 0.88 [0.83; 0.93]), compared to decaffeinated or instantaneous coffee. CRP levels mediated 9.6% (UKB) and 3.4% (RS) of the total effect of coffee on T2D. Adiponectin also showed evidence for mediation. Conclusions Coffee's beneficial effects on lower T2D risk may be partially mediated by improvements in systemic inflammation. Among coffee drinkers, filtered coffee may be of preference. Funding Sources Partially funded by the Institute for Scientific Information on Coffee.


2020 ◽  
Author(s):  
Dong Hang ◽  
Oana A. Zeleznik ◽  
Xiaosheng He ◽  
Marta Guasch-Ferre ◽  
Xia Jiang ◽  
...  

<b>Objective:</b> Coffee may protect against multiple chronic diseases, particularly type 2 diabetes, but the mechanisms remain unclear. <p><b>Research Design and Methods: </b>Leveraging dietary and metabolomic data in two large cohorts of women (the Nurses’ Health Study I and II), we identified and validated plasma metabolites associated with coffee intake in 1595 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=457 cases and 1371 controls). </p> <p><b>Results: </b>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 and diacylglycerols). 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 (five diacylglycerols and seven triacylglycerols) showed positive associations with diabetes. Adding the 15 diabetes-associated metabolites to classical risk factors-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) (<i>P</i><0.001). Similar improvement was observed in the validation set.</p> <p><b>Conclusion: </b>Coffee consumption is associated with widespread metabolic changes, among which lipid metabolites may be critical for the anti- diabetes benefit of coffee. Coffee-related metabolites might help improve prediction of diabetes, but further validation studies <a>are </a>needed.</p>


2008 ◽  
Vol 38 (1) ◽  
pp. 14-15
Author(s):  
MARY ANN MOON

Author(s):  
Sopio Tatulashvili ◽  
Gaelle Gusto ◽  
Beverley Balkau ◽  
Emmanuel Cosson ◽  
Fabrice Bonnet ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1532-P
Author(s):  
ELSAYED MOHAMED EID ◽  
SHAHEEN TOMAH ◽  
AHMED H. ELDIB ◽  
MEGAHED MOH ABOUELMAGD ◽  
EMAN M. FAHMY ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1386-P
Author(s):  
SYLVIA E. BADON ◽  
FEI XU ◽  
CHARLES QUESENBERRY ◽  
ASSIAMIRA FERRARA ◽  
MONIQUE M. HEDDERSON

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