Klotho has antiaging properties, and serum levels decrease with physiological aging and aging-related diseases, such as hypertension, cardiovascular, and chronic kidney disease. Klotho deficiency in mice results in accelerated aging and cardiovascular injury, whereas Klotho supplementation slows down the progression of aging-related diseases. The pleiotropic functions of Klotho include, but are not limited to, inhibition of insulin/IGF-1 (insulin-like growth factor 1) and WNT (wingless-related integration site) signaling pathways, suppression of oxidative stress and aldosterone secretion, regulation of calcium-phosphate homeostasis, and modulation of autophagy with inhibition of apoptosis, fibrosis, and cell senescence. Accumulating evidence shows an interconnection between Klotho deficiency and hypertension, and Klotho gene polymorphisms are associated with hypertension in humans. In this review, we critically review the current understanding of the role of Klotho in the development of essential hypertension and the most important underlying pathways involved, such as the FGF23 (fibroblast growth factor 23)/Klotho axis, aldosterone, Wnt5a/RhoA, and SIRT1 (Sirtuin1). Based on this critical review, we suggest avenues for further research.

Background. The purpose of this review is to depict current research and impact of artificial intelligence/machine learning (AI/ML) algorithms on dialysis and kidney transplantation. Published studies were presented from two points of view: What medical aspects were covered? What AI/ML algorithms have been used? Methods. We searched four electronic databases or studies that used AI/ML in hemodialysis (HD), peritoneal dialysis (PD), and kidney transplantation (KT). Sixty-nine studies were split into three categories: AI/ML and HD, PD, and KT, respectively. We identified 43 trials in the first group, 8 in the second, and 18 in the third. Then, studies were classified according to the type of algorithm. Results. AI and HD trials covered: (a) dialysis service management, (b) dialysis procedure, (c) anemia management, (d) hormonal/dietary issues, and (e) arteriovenous fistula assessment. PD studies were divided into (a) peritoneal technique issues, (b) infections, and (c) cardiovascular event prediction. AI in transplantation studies were allocated into (a) management systems (ML used as pretransplant organ-matching tools), (b) predicting graft rejection, (c) tacrolimus therapy modulation, and (d) dietary issues. Conclusions. Although guidelines are reluctant to recommend AI implementation in daily practice, there is plenty of evidence that AI/ML algorithms can predict better than nephrologists: volumes, Kt/V, and hypotension or cardiovascular events during dialysis. Altogether, these trials report a robust impact of AI/ML on quality of life and survival in G5D/T patients. In the coming years, one would probably witness the emergence of AI/ML devices that facilitate the management of dialysis patients, thus increasing the quality of life and survival.

Objective: Drinking coffee is one of the most common daily habits, especially in the developed world. Along with caffeine, coffee has various ingredients that have been suggested to have beneficial effects, including antioxidant, antiinflammatory, anticarcinogenic, antithrombotic and antifibrotic effects. In this systematic review and meta-analysis, we investigated the relationship between coffee intake and chronic kidney disease (CKD) related outcomes.Design and Methods: Literature search was performed through PubMed/Medline, Web of Science, Embase (Elsevier), and the Cochrane Central Register of Controlled Trials (Wiley) from 1960 to February 2020. Incidence of CKD, the progression of CKD, and CKDassociated mortality have been evaluated in relation to coffee consumption and the amount of consumption. The Newcastle-Ottawa scale was used for quality assessment of included studies.Results: 12 studies were included in the analysis (7 prospective, 5 cross-sectional) involving 505,841 subjects. 7 studies investigated the relationship between coffee consumption and incident CKD and showed that coffee consumption was associated with a significant decrease in the risk for incident CKD outcome (RR 0.86, 95% CI 0.76 to 0.97, P 5 .01) with a greater decrease in individuals taking $2 cups/day compared to those who drank #1 cup/day. There was a significantly lower risk of incident end stage kidney disease (ESKD) in coffee users (HR 0.82, 95% CI 0.72 to 0.94, P 5 .005). Coffee consumption was also associated with a lower risk of albuminuria (OR 0.81, 95% CI 0.68 to 0.97, P 5 .02). Overall, the risk of death related to CKD was lower in coffee users (HR 0.72, 95% CI 0.54 to 0.96, P 5 .02).Conclusion: Coffee intake was dose-dependently associated with lower incident CKD, ESKD, and albuminuria.