Globally, chronic kidney disease (CKD) contributes substantial morbidity and mortality.
Recently, various 'omics platforms have provided insight into the molecular basis of kidney …

Although diabetic kidney disease (DKD) remains the leading cause of end-stage kidney
disease eventually requiring chronic kidney replacement therapy, the prevalence of DKD …

Chronic kidney disease (CKD) is an increasing and global health problem with a great
economic burden for healthcare system. Therefore to slow down the progression of this …

Chronic kidney disease (CKD) is an increasingly recognized burden for patients and health
care systems with high (and growing) global incidence and prevalence, significant mortality …

Chronic kidney disease (CKD) patients are characterized by a high residual risk for
cardiovascular (CV) events and CKD progression. This has prompted the implementation of …

Chronic kidney diseases (CKDs) are currently classified according to their clinical features,
associated comorbidities and pattern of injury on biopsy. Even within a given classification …

In this review of the application of proteomics and metabolomics to kidney disease research,
we review key concepts, highlight illustrative examples, and outline future directions. The …

The use of “omics” is increasing in research areas looking to identify biomarkers or early
preclinical signs of disease or to increase understanding of complex pathological processes …

The prevalence of chronic kidney disease (CKD) is increasing worldwide, and the mortality
rate continues to be unacceptably high. The biomarkers currently used in clinical practice …

Chronic kidney disease (CKD), characterized as renal dysfunction, is recognized as a major
public health problem with high morbidity and mortality worldwide. Unfortunately, there are …