Effects and Safety of Statin and Ezetimibe Combination Therapy in Patients with Chronic Kidney Disease: A Systematic Review and Meta‐Analysis

AbstractExtracellular vesicle (EV)-based therapy was hypothesized as a promising regenerative approach which has led to intensive research of EVs in various pathologies. In this study, we performed a comprehensive systematic review of the current experimental evidence regarding the protective properties of EVs in chronic kidney disease (CKD). We evaluated the EV-based experiments, EV characteristics, and effector molecules with their involvement in CKD pathways. Including all animal records with available creatinine or urea data, we performed a stratified univariable meta-analysis to assess the determinants of EV-based therapy effectiveness. We identified 35 interventional studies that assessed nephroprotective role of EVs and catalogued them according to their involvement in CKD mechanism. Systematic assessment of these studies suggested that EVs had consistently improved glomerulosclerosis, interstitial fibrosis, and cell damage, among different CKD models. Moreover, EV-based therapy reduced the progression of renal decline in CKD. The stratified analyses showed that the disease model, administered dose, and time of therapeutic intervention were potential predictors of therapeutic efficacy. Together, EV therapy is a promising approach for CKD progression in experimental studies. Further standardisation of EV-methods, continuous improvement of the study quality, and better understanding of the determinants of EV effectiveness will facilitate preclinical research, and may help development of clinical trials in people with CKD. Graphical Abstract

Download Full-text

The association between circulating magnesium and clinically relevant outcomes in patients with chronic kidney disease: A systematic review and meta-analysis

Clinical Nutrition ◽

10.1016/j.clnu.2020.12.015 ◽

2020 ◽

Author(s):

Nicoline H.J. Leenders ◽

Emma A. Vermeulen ◽

Adriana J. van Ballegooijen ◽

Tiny Hoekstra ◽

Ralph de Vries ◽

...

Keyword(s):

Systematic Review ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Meta Analysis

Download Full-text

A Systematic Review and Meta-Analysis of Pharmacogenetic Studies in Patients with Chronic Kidney Disease

International Journal of Molecular Sciences ◽

10.3390/ijms22094480 ◽

2021 ◽

Vol 22 (9) ◽

pp. 4480

Author(s):

Maria Tziastoudi ◽

Georgios Pissas ◽

Georgios Raptis ◽

Christos Cholevas ◽

Theodoros Eleftheriadis ◽

...

Keyword(s):

Systematic Review ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Meta Analysis ◽

Public Health Problem ◽

Response To Treatment ◽

Genotype Distribution ◽

Global Public Health ◽

High Prevalence ◽

Additive Inheritance

Chronic kidney disease (CKD) is an important global public health problem due to its high prevalence and morbidity. Although the treatment of nephrology patients has changed considerably, ineffectiveness and side effects of medications represent a major issue. In an effort to elucidate the contribution of genetic variants located in several genes in the response to treatment of patients with CKD, we performed a systematic review and meta-analysis of all available pharmacogenetics studies. The association between genotype distribution and response to medication was examined using the dominant, recessive, and additive inheritance models. Subgroup analysis based on ethnicity was also performed. In total, 29 studies were included in the meta-analysis, which examined the association of 11 genes (16 polymorphisms) with the response to treatment regarding CKD. Among the 29 studies, 18 studies included patients with renal transplantation, 8 involved patients with nephrotic syndrome, and 3 studies included patients with lupus nephritis. The present meta-analysis provides strong evidence for the contribution of variants harbored in the ABCB1, IL-10, ITPA, MIF, and TNF genes that creates some genetic predisposition that reduces effectiveness or is associated with adverse events of medications used in CKD.

Download Full-text