scholarly journals Effect of Decaffeinated Coffee Consumption on Markers of Atherogenesis and Carbohydrate Metabolism in Diet-Induced Dyslipidemia in Rats

2020 ◽  
Vol 2020 (06) ◽  
Author(s):  
Christopher Edet Ekpenyong ◽  
Daniel Emmanuel Otokpa

Aim: The belief that decaffeinated coffee (DCAF) does not contain a physiologically relevant concentration of caffeine and therefore has no significant adverse effect on renal endpoints makes patients who are vulnerable to renal dysfunction, renal compromised state, medical conditions that contraindicate caffeine intake or those already on prescription medications known to adversely affect the kidney to sometimes substitute DCAF for caffeinated coffee even as the credibility of this paradigm remains disputable. Therefore, the present study aimed to assess the effect of DCAF consumption on markers of renal function and carbohydrate metabolism in health and diabetes. Materials and Methods: Sixty Wistar Albino rats were divided into 12 groups (6pairs) (n=5per group) for male and female animals. Animals in group 1 served as normal control (NCTRL) and were given standard feed and water only. Animals in group 2 received standard feed plus DCAF. Group 3 was the diabetic (DIA) only group while groups 4, 5, and 6 were DIA plus DCAF treatment groups. After 4weeks of treatment, animals were sacrificed and blood obtained and analyzed for the biochemical indices of renal function and carbohydrate metabolism using standard methods. Results: Serum creatinine (SCr) levels increased significantly in all DCAF treated groups compared with the NCTRL group in male and female animals. Serum electrolytes did not show any significant change across groups. Serum Urea (SUr) increased and decreased in DIA alone group and DIA plus DCAF groups respectively. Serum glucose, insulin, and HOMA-IR increased and decreased significantly in DIA alone group and DIA plus DCAF treated groups respectively compared with NCTRL and DCAF control groups. Conclusion: The consumption of DCAF may adversely affect renal endpoints in health and diabetes but improves markers of carbohydrate metabolism in diabetes likely due to the re-enforcement effect of its caffeine and other bioactive constituents.


Author(s):  
Jongeun Rhee ◽  
Erikka Loftfield ◽  
Neal D Freedman ◽  
Linda M Liao ◽  
Rashmi Sinha ◽  
...  

Abstract Background Coffee consumption has been associated with a reduced risk of some cancers, but the evidence for renal cell carcinoma (RCC) is inconclusive. We investigated the relationship between coffee and RCC within a large cohort. Methods Coffee intake was assessed at baseline in the National Institutes of Health–American Association of Retired Persons Diet and Health Study. Among 420 118 participants eligible for analysis, 2674 incident cases were identified. We fitted Cox-regression models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for coffee consumption vs non-drinkers. Results We observed HRs of 0.94 (95% CI 0.81, 1.09), 0.94 (0.81, 1.09), 0.80 (0.70, 0.92) and 0.77 (0.66, 0.90) for usual coffee intake of <1, 1, 2–3 and ≥4 cups/day, respectively (Ptrend = 0.00003). This relationship was observed among never-smokers (≥4 cups/day: HR 0.62, 95% CI 0.46, 0.83; Ptrend = 0.000003) but not ever-smokers (HR 0.85, 95% CI 0.70, 1.05; Ptrend = 0.35; Pinteraction = 0.0009) and remained in analyses restricted to cases diagnosed >10 years after baseline (HR 0.65, 95% CI 0.51, 0.82; Ptrend = 0.0005). Associations were similar between subgroups who drank predominately caffeinated or decaffeinated coffee (Pinteraction = 0.74). Conclusion In this investigation of coffee and RCC, to our knowledge the largest to date, we observed a 20% reduced risk for intake of ≥2 cups/day vs not drinking. Our findings add RCC to the growing list of cancers for which coffee consumption may be protective.


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>


2019 ◽  
Vol 109 (3) ◽  
pp. 635-647 ◽  
Author(s):  
Dong Hang ◽  
Ane Sørlie Kværner ◽  
Wenjie Ma ◽  
Yang Hu ◽  
Fred K Tabung ◽  
...  

ABSTRACT Background Coffee consumption has been linked to lower risk of various health outcomes. However, the biological pathways mediating the associations remain poorly understood. Objectives The aim of this study was to assess the association between coffee consumption and concentrations of plasma biomarkers in key metabolic and inflammatory pathways underlying common chronic diseases. Methods We investigated the associations of total, caffeinated, and decaffeinated coffee consumption with 14 plasma biomarkers, including C-peptide, insulin-like growth factor 1 (IGF-1), IGF binding protein (IGFBP) 1, IGFBP-3, estrone, total and free estradiol, total and free testosterone, sex hormone–binding globulin (SHBG), total adiponectin, high-molecular-weight (HMW) adiponectin, leptin, C-reactive protein (CRP), interleukin 6 (IL-6), and soluble tumor necrosis factor receptor 2 (sTNFR-2). Data were derived from 2 cohorts of 15,551 women (Nurses’ Health Study) and 7397 men (Health Professionals Follow-Up Study), who provided detailed dietary data before blood draw and were free of diabetes, cardiovascular disease, or cancer at the time of blood draw. Multivariable linear regression was used to calculate the percentage difference of biomarker concentrations comparing coffee drinkers with nondrinkers, after adjusting for a variety of demographic, clinical, and lifestyle factors. Results Compared with nondrinkers, participants who drank ≥4 cups of total coffee/d had lower concentrations of C-peptide (−8.7%), IGFBP-3 (−2.2%), estrone (−6.4%), total estradiol (−5.7%), free estradiol (−8.1%), leptin (−6.4%), CRP (−16.6%), IL-6 (−8.1%), and sTNFR-2 (−5.8%) and higher concentrations of SHBG (5.0%), total testosterone (7.3% in women and 5.3% in men), total adiponectin (9.3%), and HMW adiponectin (17.2%). The results were largely similar for caffeinated and decaffeinated coffee. Conclusion Our data indicate that coffee consumption is associated with favorable profiles of numerous biomarkers in key metabolic and inflammatory pathways. This trial was registered at clinicaltrials.gov as NCT03419455.


2007 ◽  
Vol 85 (8) ◽  
pp. 823-830 ◽  
Author(s):  
J. Shearer ◽  
E.A. Sellars ◽  
A. Farah ◽  
T.E. Graham ◽  
D.H. Wasserman

Epidemiological studies indicate that regular coffee consumption reduces the risk of developing type 2 diabetes. Despite these findings, the biological mechanisms by which coffee consumption exerts these effects are unknown. The aim of this study was twofold: to develop a rat model that would further delineate the effects of regular coffee consumption on glucose kinetics, and to determine whether coffee, with or without caffeine, alters the actions of insulin on glucose kinetics in vivo. Male Sprague–Dawley rats were fed a high-fat diet for 4 weeks in combination with one of the following: (i) drinking water as placebo (PL), (ii) decaffeinated coffee (2 g/100 mL) (DC), or (iii) alkaloid caffeine (20 mg/100 mL) added to decaffeinated coffee (2 g/100 mL) (CAF). Catheters were chronically implanted in a carotid artery and jugular vein for sampling and infusions, respectively. Recovered animals (5 days postoperative) were fasted for 5 h before hyperinsulinemic-euglycemic clamps (2 mU·kg–1·min–1). Glucose was clamped at 6 mmol/L and isotopes (2-deoxy-[14C]glucose and [3-3H]glucose) were administered to obtain indices of whole-body and tissue-specific glucose kinetics. Glucose infusion rates and measures of whole-body metabolic clearance were greater in DC than in PL or CAF, indicating increased whole-body insulin sensitivity. As the only difference between DC and CAF was the addition of alkaloid caffeine, it can be concluded that caffeine antagonizes the beneficial effects of DC. Given these findings, decaffeinated coffee may represent a nutritional means of combating insulin resistance.


2020 ◽  
Vol 124 (8) ◽  
pp. 785-796
Author(s):  
Tommy H. T. Wong ◽  
Jennifer M. F. Wan ◽  
Iris M. Y. Tse ◽  
W. H. Sit ◽  
Jimmy C. Y. Louie

AbstractThe present study aimed to compare the effects of drinking different types of coffee before a high-glycaemic index (GI) meal on postprandial glucose metabolism and to assess the effects of adding milk and sugar into coffee. In this randomised, crossover, acute feeding study, apparently healthy adults (n 21) consumed the test drink followed by a high-GI meal in each session. Different types of coffee (espresso, instant, boiled and decaffeinated, all with milk and sugar) and plain water were tested in separate sessions, while a subset of the participants (n 10) completed extra sessions using black coffees. Postprandial levels of glucose, insulin, active glucagon-like peptide 1 (GLP-1) and nitrotyrosine between different test drinks were compared using linear mixed models. Results showed that only preloading decaffeinated coffee with milk and sugar led to significantly lower glucose incremental AUC (iAUC; 14 % lower, P = 0·001) than water. Preloading black coffees led to greater postprandial glucose iAUC than preloading coffees with milk and sugar added (12–35 % smaller, P < 0·05 for all coffee types). Active GLP-1 and nitrotyrosine levels were not significantly different between test drinks. To conclude, preloading decaffeinated coffee with milk and sugar led to a blunted postprandial glycaemic response after a subsequent high-GI meal, while adding milk and sugar into coffee could mitigate the impairment effect of black coffee towards postprandial glucose responses. These findings may partly explain the positive effects of coffee consumption on glucose metabolism.


Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 840 ◽  
Author(s):  
Xue Dong ◽  
Shiru Li ◽  
Jing Sun ◽  
Yan Li ◽  
Dongfeng Zhang

The aim of this study was to examine the association of coffee, caffeinated coffee, decaffeinated coffee and caffeine intake from coffee with cognitive performance in older adults. we used data from the National Health and Nutrition Examination Survey (NHANES) 2011–2014. Coffee and caffeine intake were obtained through two 24-hour dietary recalls. Cognitive performance was evaluated by the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) test, Animal Fluency test and Digit Symbol Substitution Test (DSST). Binary logistic regression and restricted cubic spline models were applied to evaluate the association of coffee and caffeine intake with cognitive performance. A total of 2513 participants aged 60 years or older were included. In the fully adjusted model, compared to those reporting no coffee consumption, those who reported 266.4–495 (g/day) had a multivariate adjusted odd ratio (OR) with 95% confidence interval (CI) of 0.56(0.35–0.89) for DSST test score, compared to those reporting no caffeinated coffee consumption, those who reported ≥384.8 (g/day) had a multivariate-adjusted OR (95% CI) of 0.68(0.48–0.97) for DSST test score, compared to the lowest quartile of caffeine intake from coffee, the multivariate adjusted OR (95% CI) of the quartile (Q) three was 0.62(0.38–0.98) for the CERAD test score. L-shaped associations were apparent for coffee, caffeinated coffee and caffeine from coffee with the DSST test score and CERAD test score. No significant association was observed between decaffeinated coffee and different dimensions of cognitive performance. Our study suggests that coffee, caffeinated coffee and caffeine from coffee were associated with cognitive performance, while decaffeinated coffee was not associated with cognitive performance.


2019 ◽  
Vol 29 (3) ◽  
pp. 579-584 ◽  
Author(s):  
Fateme Shafiei ◽  
Asma Salari-Moghaddam ◽  
Alireza Milajerdi ◽  
Bagher Larijani ◽  
Ahmad Esmaillzadeh

BackgroundResults from earlier publications on the association of coffee and caffeine and risk of ovarian cancer are inconsistent.ObjectiveTo evaluate the link between coffee, caffeine, caffeinated coffee, and decaffeinated coffee consumption and risk of ovarian cancer.MethodsWe searched PubMed/Medline, ISI Web of Science, Scopus, and Google Scholar to identify relevant publications up to April 2018. All case–control studies that considered coffee, caffeine, caffeinated coffee, or decaffeinated coffee as the exposure variables and ovarian cancer as the main outcome variable or as one of the outcomes were included in the systematic review. Publications in which odds ratios (ORs) or rate or risk ratios (RRs) and 95% confidence intervals (CIs) were reported, were included in the meta-analysis.ResultsA total of 22 case–control studies were included in the systematic review, and 20 studies in the meta-analysis. Overall, 40 140 participants, including 8568 patients with ovarian cancer, aged ≥ 17 years were included. Combining 21 effect sizes from 18 studies, no significant association was observed between total coffee intake and risk of ovarian cancer (OR=1.09; 95% CI 0.94 to 1.26). There was no significant association between total caffeine intake and ovarian cancer risk (OR=0.89; 95% CI 0.55 to 1.45). In addition, caffeinated coffee intake was not significantly associated with ovarian cancer (OR=1.05; 95% CI 0.87 to 1.28). However, combining effect sizes from five studies, we found an inverse significant association between decaffeinated coffee intake and risk of ovarian cancer (OR=0.72; 95% CI 0.58 to 0.90).ConclusionsOur findings indicated an inverse association between decaffeinated coffee consumption and risk of ovarian cancer. No significant association was found between coffee, caffeine or caffeinated coffee intake and risk of ovarian cancer.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 579-579
Author(s):  
Bingjie Zhou ◽  
Shilpa Bhupathiraju ◽  
Mengyuan Ruan ◽  
Kenneth Chui ◽  
Dariush Mozaffarian ◽  
...  

Abstract Objectives Coffee is a commonly consumed beverage in the United States (US). It remains controversial whether coffee consumption is associated with health benefits or harms, especially when cream and/or sugars are added. Methods We assessed coffee consumption in association with mortality outcomes among 36,758 US adults ages 20+ years who participated in the National Health and Nutrition Examination Survey (NHANES) 1999–2014. Consumption of total, caffeinated, and decaffeinated coffee, with and without additives, was assessed using dietary data collected from 24-hour diet recalls (24HR) and compared to coffee consumption assessed using a food-frequency questionnaire (FFQ). Mortalities from all causes, heart disease, and cancer were obtained from linkage to the National Death Index through December 31, 2015. We used Cox proportional hazard models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) after multivariable adjustments. Results The mean (SE) of the total, caffeinated, and decaffeinated coffee consumption among US adults was 1.36 (0.02), 1.19 (0.02), and 0.17 (0.004) cups/day, respectively. The Spearman correlation coefficient on coffee consumption for a subset of participants with both 24HR and FFQ is 0.78 (P-value &lt; 0.0001). During a median follow-up of 7.4 years, a total of 4662 deaths occurred due to all causes, including 794 deaths due to heart disease and 1019 deaths due to cancer. Compared to individuals who were not usual coffee drinkers (&lt;1 cup/d), those who drank coffee for 1 cup/day or more had a lower risk of all-cause mortality (HR [95% CI]: 0.84 [0.76, 0.94] for ≥1 to &lt;2 cups/d; 0.82 [0.72, 0.92] for ≥2 to &lt;3 cups/d; and 0.80 [0.68, 0.93] for ≥3 cups/d; P-trend = 0.001]. Adding milk/cream, alone or with sugar/sweetener, did not significantly change the results. Similar patterns were observed for caffeinated coffee consumption and all-cause mortality, but no significant associations were found for decaffeinated coffee. Coffee consumption was not significantly associated with cancer or heart disease mortality except that moderate caffeinated coffee consumption (≥1 to &lt;2 cups/d) was significantly associated with a lower risk of heart disease mortality [HR (95% CI): 0.72 (0.52, 0.98)]. Conclusions Usual coffee consumption was associated with a reduced risk of all-cause mortality among US adults. Funding Sources NIH/NIMHD.


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