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1.
Smoking, alcohol and coffee consumption and pregnancy loss: a Mendelian randomization investigation.
Yuan, S, Liu, J, Larsson, SC
Fertility and sterility. 2021;(4):1061-1067
Abstract
OBJECTIVE To determine the associations of smoking and alcohol and coffee consumption with pregnancy loss. DESIGN Mendelian randomization study. SETTING The UK Biobank study and FinnGen consortium. PATIENTS A total of 60,565 cases with pregnancy loss and 130,687 noncases from UK Biobank and 3,312 cases with pregnancy loss and 64,578 noncases from FinnGen. INTERVENTION(S): None. MAINS OUTCOME MEASURE Pregnancy loss. RESULT(S): Genetic predisposition to smoking initiation was associated with an increased risk of pregnancy loss in both UK Biobank and FinnGen. The combined odds ratio (OR) was 1.31 (95% confidence interval [CI], 1.25-1.37) for one standard deviation increase in the prevalence of smoking initiation. There were no significant associations of genetically predicted consumption of alcohol (OR, 1.09; 95% CI, 0.93-1.27) or coffee (OR, 0.96; 95% CI, 0.87-1.06) with pregnancy loss. CONCLUSION(S): This study on the basis of genetic data suggests the causal potential of the association of smoking but not moderate alcohol and coffee consumption with pregnancy loss.
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Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption.
Karabegović, I, Portilla-Fernandez, E, Li, Y, Ma, J, Maas, SCE, Sun, D, Hu, EA, Kühnel, B, Zhang, Y, Ambatipudi, S, et al
Nature communications. 2021;(1):2830
Abstract
Coffee and tea are extensively consumed beverages worldwide which have received considerable attention regarding health. Intake of these beverages is consistently linked to, among others, reduced risk of diabetes and liver diseases; however, the mechanisms of action remain elusive. Epigenetics is suggested as a mechanism mediating the effects of dietary and lifestyle factors on disease onset. Here we report the results from epigenome-wide association studies (EWAS) on coffee and tea consumption in 15,789 participants of European and African-American ancestries from 15 cohorts. EWAS meta-analysis of coffee consumption reveals 11 CpGs surpassing the epigenome-wide significance threshold (P-value <1.1×10-7), which annotated to the AHRR, F2RL3, FLJ43663, HDAC4, GFI1 and PHGDH genes. Among them, cg14476101 is significantly associated with expression of the PHGDH and risk of fatty liver disease. Knockdown of PHGDH expression in liver cells shows a correlation with expression levels of genes associated with circulating lipids, suggesting a role of PHGDH in hepatic-lipid metabolism. EWAS meta-analysis on tea consumption reveals no significant association, only two CpGs annotated to CACNA1A and PRDM16 genes show suggestive association (P-value <5.0×10-6). These findings indicate that coffee-associated changes in DNA methylation levels may explain the mechanism of action of coffee consumption in conferring risk of diseases.
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Metabolites Associated with Coffee Consumption and Incident Chronic Kidney Disease.
He, WJ, Chen, J, Razavi, AC, Hu, EA, Grams, ME, Yu, B, Parikh, CR, Boerwinkle, E, Bazzano, L, Qi, L, et al
Clinical journal of the American Society of Nephrology : CJASN. 2021;(11):1620-1629
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Abstract
BACKGROUND AND OBJECTIVES Moderate coffee consumption has been associated with lower risk of CKD; however, the exact biologic mechanisms underlying this association are unknown. Metabolomic profiling may identify metabolic pathways that explain the association between coffee and CKD. The goal of this study was to identify serum metabolites associated with coffee consumption and examine the association between these coffee-associated metabolites and incident CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Using multivariable linear regression, we identified coffee-associated metabolites among 372 serum metabolites available in two subsamples of the Atherosclerosis Risk in Communities study (ARIC; n=3811). Fixed effects meta-analysis was used to pool the results from the two ARIC study subsamples. Associations between coffee and metabolites were replicated in the Bogalusa Heart Study (n=1043). Metabolites with significant associations with coffee in both cohorts were then evaluated for their prospective associations with incident CKD in the ARIC study using Cox proportional hazards regression. RESULTS In the ARIC study, mean (SD) age was 54 (6) years, 56% were daily coffee drinkers, and 32% drank >2 cups per day. In the Bogalusa Heart Study, mean (SD) age was 48 (5) years, 57% were daily coffee drinkers, and 38% drank >2 cups per day. In a meta-analysis of two subsamples of the ARIC study, 41 metabolites were associated with coffee consumption, of which 20 metabolites replicated in the Bogalusa Heart Study. Three of these 20 coffee-associated metabolites were associated with incident CKD in the ARIC study. CONCLUSIONS We detected 20 unique serum metabolites associated with coffee consumption in both the ARIC study and the Bogalusa Heart Study, and three of these 20 candidate biomarkers of coffee consumption were associated with incident CKD. One metabolite (glycochenodeoxycholate), a lipid involved in primary bile acid metabolism, may contribute to the favorable kidney health outcomes associated with coffee consumption. Two metabolites (O-methylcatechol sulfate and 3-methyl catechol sulfate), both of which are xenobiotics involved in benzoate metabolism, may represent potential harmful aspects of coffee on kidney health.
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Coffee Consumption and Pancreatic Cancer Risk: A Meta-Epidemiological Study of Population-based Cohort Studies.
Bae, JM, Shim, SR
Asian Pacific journal of cancer prevention : APJCP. 2020;(9):2793-2798
Abstract
OBJECTIVE Previous systematic reviews evaluating the association between coffee consumption and pancreatic cancer showed inconsistent results. The aim was to conduct a meta-epidemiological study to explore further the association between coffee consumption and the incidence of pancreatic cancer. METHODS The selection criteria were defined as a population-based prospective cohort study reporting adjusted relative risk (RR) and their 95% confidence interval (95%CI) of pancreatic cancer occurrence according to coffee consumption. Adjusted RR for the highest versus the lowest level of coffee consumption in each study was extracted. A fixed-effect model was applied to calculate a summary RR (sRR) and its 95%CI. Two-stage random-effects dose-response meta-analysis (DRMA) was performed to estimate the incidence risk per unit dose (cup per day). RESULTS Twelve cohort studies were selected for meta-analysis. The total number of cohort participants was 3,230,053, and pancreatic cancer incidents were 10,587. The sRR of pancreatic cancer risk for the highest versus the lowest level of coffee consumption indicated no statistical significance (sRR=0.98, 95% CI: 0.88-1.10; I-squared=0.0%). Two-stage random-effect DRMA showed the non-linear relationship between the amount of coffee consumption and pancreatic cancer risk. And the RR for an increment of one cup per day of coffee consumption was 0.97 (95%CI: 0.91-1.04, P=0.42), without statistically significant. CONCLUSION There was no association between coffee consumption habits and pancreatic cancer risk. And there was no statistical significance in the dose-response relationship between the amount of coffee consumption and pancreatic cancer risk. Finding the turning point would be important because it can be critical information for the prevention of pancreatic cancer.
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Coffee Consumption and Colon Cancer Risk: A Meta- Epidemiological Study of Asian Cohort Studies.
Bae, JM
Asian Pacific journal of cancer prevention : APJCP. 2020;(5):1177-1179
Abstract
OBJECTIVE A systematic review reported that coffee consumption would decrease risk of colon cancer in Asian women. But the systematic review arises the issue of duplication, so that a meta-epidemiological study was conducted. METHODS The selection criteria were defined that a prospective cohort follow-up study conducted to evaluate coffee consumption and risk of colon cancer in Asian and showed adjusted relative risk and its 95% confidence interval. In order to conduct meta-analysis, the highest versus lowest method was applied to extract relative risk and its 95% confidence intervals of the highest category. Random effect model was applied if I-squared value was over 50%. RESULTS After avoiding duplication, 9 cohort data were selected for meta-analysis. The summary relative risk (and their 95% confidence intervals) [I-square value] were 0.90 (95% CI: 0.79-1.03) [0.0%] in men, and 0.64 (95% CI: 0.36-1.15) [65.9%] in women, respectively. CONCLUSIONS The results suggest that coffee consumption is not associated with the risk of colon cancer in Asian men and women. The findings of this study are consistent with the results of two systematic reviews conducted under the same hypothesis and selection criteria. Additional epidemiological studies are needed for the inflection of colon cancer risk as the dose of coffee increases and the difference in the protective effect by sex.
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Effect of coffee consumption on dyslipidemia: A meta-analysis of randomized controlled trials.
Du, Y, Lv, Y, Zha, W, Hong, X, Luo, Q
Nutrition, metabolism, and cardiovascular diseases : NMCD. 2020;(12):2159-2170
Abstract
BACKGROUND AND AIM Dyslipidemia is a common metabolic disease worldwide and also an important predisposing factor for cardiovascular diseases (CVDs). Coffee is loved by people all over the world; however, the association between coffee consumption and blood lipids has yielded inconsistent results. So we carried this meta-analysis to explore the effects of coffee consumption on blood lipids. METHODS AND RESULTS Medline, PubMed, Web of science, Embase, and Cochrane Library databases were systematically searched until April 2020. Combined weighted mean differences (WMD) with their 95% confidence interval (CI) were calculated using random-effects models, and between-study heterogeneity was assessed by Cochran's Q test and I2 statistics. Subgroup analysis and meta-regression analysis were also conducted to explore the potential heterogeneity. A total of 12 RCT studies involving the association between coffee consumption and blood lipid levels were included in the meta-analysis. The pooled results showed that coffee consumption significantly increased total cholesterol (TC) (WMD: 0.21 mmol/L, 95% CI: 0.04; 0.39, P = 0.017), triglyceride (TG) (WMD: 0.12 mmol/L, 95% CI: 0.03; 0.20, P = 0.006) and low-density lipoprotein (LDL-C) (WMD: 0.14 mmol/L, 95% CI: 0.05; 0.24, P = 0.003) while had no significant effect on high-density lipoprotein (HDL-C) (WMD: -0.01 mmol/L, 95% CI: -0.06; 0.04, P = 0.707). Dose-response analysis results revealed significant positive nonlinear associations between coffee consumption and the increase in TC, LDL-C, and TG levels. CONCLUSIONS Evidence from this meta-analysis suggested that coffee consumption may be associated with an elevated risk for dyslipidemia and CVDs. So a reasonable habit of coffee consumption (<3 cups/d) is essential for the prevention of dyslipidemia.
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Coffee consumption and risk of bladder cancer: a pooled analysis of 501,604 participants from 12 cohort studies in the BLadder Cancer Epidemiology and Nutritional Determinants (BLEND) international study.
Yu, EYW, Dai, Y, Wesselius, A, van Osch, F, Brinkman, M, van den Brandt, P, Grant, EJ, White, E, Weiderpass, E, Gunter, M, et al
European journal of epidemiology. 2020;(6):523-535
Abstract
Recent epidemiological studies have shown varying associations between coffee consumption and bladder cancer (BC). This research aims to elucidate the association between coffee consumption and BC risk by bringing together worldwide cohort studies on this topic. Coffee consumption in relation to BC risk was examined by pooling individual data from 12 cohort studies, comprising of 2601 cases out of 501,604 participants. Pooled multivariate hazard ratios (HRs), with corresponding 95% confidence intervals (CIs), were obtained using multilevel Weibull regression models. Furthermore, dose-response relationships were examined using generalized least squares regression models. The association between coffee consumption and BC risk showed interaction with sex (P-interaction < 0.001) and smoking (P-interaction = 0.001). Therefore, analyses were stratified by sex and smoking. After adjustment for potential confounders, an increased BC risk was shown for high (> 500 ml/day, equivalent to > 4 cups/day) coffee consumption compared to never consumers among male smokers (current smokers: HR = 1.75, 95% CI 1.27-2.42, P-trend = 0.002; former smokers: HR = 1.44, 95% CI 1.12-1.85, P-trend = 0.001). In addition, dose-response analyses, in male smokers also showed an increased BC risk for coffee consumption of more than 500 ml/day (4 cups/day), with the risk of one cup (125 ml) increment as 1.07 (95% CI 1.06-1.08). This research suggests that positive associations between coffee consumption and BC among male smokers but not never smokers and females. The inconsistent results between sexes and the absence of an association in never smokers indicate that the associations found among male smokers is unlikely to be causal and is possibly caused by residual confounding of smoking.
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Coffee Intake and Obesity: A Meta-Analysis.
Lee, A, Lim, W, Kim, S, Khil, H, Cheon, E, An, S, Hong, S, Lee, DH, Kang, SS, Oh, H, et al
Nutrients. 2019;(6)
Abstract
Many studies have explored the relationship between coffee-one of the most commonly consumed beverages today-and obesity. Despite inconsistent results, the relationship has not been systematically summarized. Thus, we conducted a meta-analysis by compiling data from 12 epidemiologic studies identified from PubMed and Embase through February 2019. The included studies assessed obesity by body mass index (BMI, a measure of overall adiposity) or waist circumference (WC, a measure of central adiposity); analyzed the measure as a continuous outcome or binary outcome. Using random effects model, weighted mean difference (WMD) and 95% confidence interval (CI) were obtained for continuous outcomes; summary relative risk (RR) and 95% CI for the highest vs. lowest categories of coffee intake were estimated for binary outcome. For BMI, WMD was -0.08 (95% CI -0.14, -0.02); RR was 1.49 (95% CI 0.97, 2.29). For WC, WMD was -0.27 (95% CI -0.51, -0.02) and RR was 1.07 (95% CI 0.84, 1.36). In subgroup analysis by sex, evidence for an inverse association was more evident in men, specifically for continuous outcome, with WMD -0.05 (95% CI -0.09, -0.02) for BMI and -0.21 (95% CI -0.35, -0.08) for WC. Our meta-analysis suggests that higher coffee intake might be modestly associated with reduced adiposity, particularly in men.
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Coffee and tea consumption and the risk for subarachnoid hemorrhage: A meta-analysis.
Rui, Q, Ni, H, Liu, H, Zhu, X, Gao, R
Nutrition (Burbank, Los Angeles County, Calif.). 2019;:21-28
Abstract
OBJECTIVES Reports on the association between coffee or tea consumption and subarachnoid hemorrhage (SAH) risk are inconsistent. The aim of this study was to determine if an association exists between consumption of coffee or tea and the risk for SAH. METHODS A random-effects model was used to estimate the summary relative risks (RRs) and 95% confidence intervals (CIs). Heterogeneity among studies was assessed using the statistics Cochran's Q and I2. Seven studies on coffee consumption and five on tea consumption were included in the meta-analysis. RESULTS The pooled RRs of SAH for the highest versus the lowest categories of coffee and tea consumption were 1.31 (95% CI, 0.84-2.05) and 0.83 (95% CI, 0.65-1.08), respectively. There was evidence of heterogeneity among studies of coffee consumption (Pheterogeneity = 0.002, I2 = 71.7%) but not among studies of tea consumption (Pheterogeneity = 0.34, I2 = 11.3%). Omitting one study that substantially contributed to the heterogeneity among studies of coffee consumption yielded a pooled RR of 1.51 (95% CI, 1.10-2.06). Dose-response analysis showed that the summary RRs of SAH for an increase of one cup of coffee and tea consumption per day were 1.00 (95% CI, 0.96-1.04) and 0.97 (95% CI, 0.85-1.11), respectively. There was no evidence of publication bias. CONCLUSION Our meta-analysis of current evidence does not support an association between the consumption of coffee or tea and SAH risk. Further studies with prospective designs that control for important confounders and provide sufficient data for dose-response analysis are warranted.
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Caffeine, Type of Coffee, and Risk of Ovarian Cancer: A Dose-Response Meta-Analysis of Prospective Studies.
Salari-Moghaddam, A, Milajerdi, A, Surkan, PJ, Larijani, B, Esmaillzadeh, A
The Journal of clinical endocrinology and metabolism. 2019;(11):5349-5359
Abstract
CONTEXT Prospective studies on caffeine and different types of coffee intake in relation to the risk of ovarian cancer have shown conflicting results. OBJECTIVE The aim of the present study was to perform a dose-response meta-analysis of cohort studies on the association between dietary caffeine intake, different types of coffee consumption, and the risk of ovarian cancer. DATA SOURCES PubMed/Medline, ISI Web of Science, Scopus, and EMBASE were searched to identify relevant studies reported until October 2018. STUDY SELECTION Prospective cohort studies that had considered caffeine or different types of coffee as the exposure variable and ovarian cancer as the main outcome variable or as one of the outcome variables were included in our systematic review and meta-analysis. Two of us independently screened 9344 publications. A total of 14 cohort studies were included in the meta-analysis. DATA EXTRACTION Two of us independently extracted the data. Any disagreements were resolved in consultation with the principal investigator. RESULTS Combining 13 effect sizes, we found no substantial association between coffee consumption and risk of ovarian cancer [risk ratio (RR), 1.08; 95% CI, 0.89 to 1.33]. Also, one additional cup daily of coffee consumption was marginally associated with an increased risk of ovarian cancer (RR, 1.02; 95% CI, 0.99 to 1.05; P = 0.21; I2 = 0.0%; Pheterogeneity = 0.68). No statistically significant association was observed between caffeine intake or caffeinated or decaffeinated coffee consumption and the risk of ovarian cancer. CONCLUSIONS We found no statistically significant association between caffeine intake or different types of coffee and the risk of ovarian cancer.