Effect of Coffee Consumption on Renal Outcome: A Systematic Review and Meta-Analysis of Clinical Studies

Kanbay, Mehmet; Siriopol, Dimitrie; Çöpür, Sidar; Țăpoi, Laura; Benchea, Laura; Kuwabara, Masanari; Rossignol, Patrick; Ortíz, Alberto; Covic, Adrian; Afsar, Barış

doi:10.1053/j.jrn.2020.08.004

Cited by 22 publications

(31 citation statements)

References 55 publications

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“…The present study may suggest that drinking coffee and tea beyond 0-40% fluid requirements is associated with higher eGFR. While this criterion is binary, the protective effects of coffee nonetheless appear to be dose-dependent (65). Given that the STANISLAS population displayed a normal eGFR on average, we were unable to focus on CKD per se, although it can be inferred from our results that participants who met the coffee and tea criteria may exhibit a better preserved kidney function.…”

Section: Hbi Components and Kidney Outcomesmentioning

confidence: 81%

Quality of Beverage Intake and Cardiometabolic and Kidney Outcomes: Insights From the STANISLAS Cohort

et al. 2022

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Background and Aims: Beverages are an important aspect of diet, and their quality can possibly affect health. The Healthy Beverage Index (HBI) has been developed to take into account these effects. This study aimed to highlight the relationships between health and beverage quality by assessing the association of the HBI and its components with kidney and cardiometabolic (CM) outcomes in an initially healthy population-based familial cohort.Methods: This study included 1,271 participants from the STANISLAS cohort. The HBI, which includes 10 components of habitual beverage consumption, was calculated. Associations of the HBI and its components with estimated glomerular filtration rate (eGFR), albuminuria, hypertriglyceridemic waist (HTG waist), metabolic syndrome (MetS), carotid-femoral pulse wave velocity (cfPWV), carotid intima-media thickness (cIMT), and left ventricular mass (LV mass) were analyzed using multivariable linear or logistic regression models.Results: The median HBI score was 89.7 (78.6–95) out of 100 points. While the overall HBI score was not significantly associated with any of the studied outcomes, individual HBI components were found differently associated with the outcomes. cfPWV and cIMT were lower in participants who did not meet the full-fat milk criteria (p = 0.03 and 0.001, respectively). In men, higher cfPWV was observed for the “low Fat milk” (p = 0.06) and “alcohol” (p = 0.03) non-adherence criteria. Odds of HTG waist were higher with the non-adherence to sugar-sweetened beverages criteria (p < 0.001). eGFR was marginally higher with non-adherence to the coffee/tea criteria (p = 0.047).Conclusions: In this initially healthy population, HBI components were differently associated with kidney and cardiometabolic outcomes, despite a good overall HBI score. Our results highlight specific impacts of different beverage types and suggest that beverages could have an impact on kidney and cardiometabolic health.

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Section: Hbi Components and Kidney Outcomesmentioning

confidence: 81%

Quality of Beverage Intake and Cardiometabolic and Kidney Outcomes: Insights From the STANISLAS Cohort

et al. 2022

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“…This study reported that GC did not decrease kidney function in obese rats. Coffee consumption reduces the risk of chronic kidney disease [36]. Another study also reported that GC extract therapy at a dose of 1000 mg/kg BW/day was not toxic to the liver and kidneys.…”

Section: Discussionmentioning

confidence: 94%

The Effect of Green Coffee on Blood Pressure, Liver and Kidney Functions in Obese Model Rats

Yusni

Yusuf

2022

Open Access Maced J Med Sci

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BACKGROUND: The effect of green coffee (GC) on blood pressure (BP) is still debated, but GC is thought to improve liver and kidney function. AIM: This study aimed to analyze the effect of the GC intervention on BP, liver, and kidney functions in obese model rats. METHODS: The research was a pre-clinical trial of pretest-posttest with control group design. Animals were divided into four groups: obese rats (G1), obese rats and GC (G2), obese rats and physical exercise (PE) (G3), and a combination of interventions (PE+GC) (G4). Data analysis used an independent sample t-test and analysis of variance; (p < 0.05). RESULTS: There was a different effect of the GC, PE, and PE+GC intervention on BP (186.50 ± 3.45 vs. 91.33 ± 1.96 p = 0.001*; 189.17 ± 2.93 vs. 119.50 ± 3.73 p = 0.001*; 191.8 3 ± 2.64 vs. 98.83 ± 3.76 p = 0.001*) in obese rats. There was a significant difference in Serum Glutamic Oxaloacetic Transaminase (SGOT) (p=0.001*), Serum Glutamic Pyruvic Transaminase (SGPT) (p = 0.001*), Blood urea nitrogen (BUN) (p = 0.001*), and Creatinine (p = 0.001*) before and after the intervention in the three groups (G2, G3, and G4). SGOT, SGPT, and Creatinine levels decreased significantly after PE, GC, and PE+GC intervention. On the other hand, BUN levels decreased significantly after GC and its combination intervention. Meanwhile, in the control group and the intervention of PE, it increased significantly. CONCLUSIONS: GC is more effective in lowering BP without causing impaired liver and kidney function in obese rats.

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“…Shortly, higher dose and serum levels of lithium, longer cumulative duration of lithium use, and later onset of illness lead to impaired renal functions. Caffeine consumption, another predictor of CKD, was reported to be dose-dependently associated with lower CKD (Kanbay et al, 2021). It also seem important to assess the use of caffeine in lithium using patients.…”

Section: Discussionmentioning

confidence: 99%

Renal effects of long‐term lithium therapy, revisited

Yazıcı

Eroğlu

Ertuğrul

et al. 2021

Human Psychopharmacology

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Objective:The aim of this study was to investigate the effect of lithium treatment on renal function and to determine influencing factors. In addition, the utility of spot urine protein/creatinine ratio in detection of lithium induced nephropathy was also investigated.Methods: Serum concentrations of lithium, blood urea nitrogen (BUN), creatinine, estimated glomerular filtration rate (eGFR), and urinalysis including protein/creatinine ratio were measured in 375 patients using lithium.Results: Patients taking lithium for ≥8 years had higher BUN, creatinine levels, percentage of proteinuria, percentages of stage 2 and 3 chronic kidney disease (CKD); lower urine density and eGFR compared to patients taking lithium <8 years.Urine density was lower in groups with >0.8 and 0.6-0.8 mmol/L lithium level than <0.6 mmol/L. Predictors of CKD were serum level of lithium, dose of lithium, cumulative duration of lithium use, age at onset of illness, and caffeine consumption.Conclusions: Detrimental effects of lithium on renal functions were detected after lithium use for ≥8 years. Proteinuria measured by spot urine protein/creatinine ratio can be detected even when eGFR is >90 ml/min/1.73 m 2 . Spot urine protein/ creatinine ratio, which is a cost-effective and practical laboratory test, can be used to monitor lithium-treated patients.

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Effect of Coffee Consumption on Renal Outcome: A Systematic Review and Meta-Analysis of Clinical Studies

Cited by 22 publications

References 55 publications

Quality of Beverage Intake and Cardiometabolic and Kidney Outcomes: Insights From the STANISLAS Cohort

Quality of Beverage Intake and Cardiometabolic and Kidney Outcomes: Insights From the STANISLAS Cohort

The Effect of Green Coffee on Blood Pressure, Liver and Kidney Functions in Obese Model Rats

Renal effects of long‐term lithium therapy, revisited

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