The current unidimensional paradigm of kidney disease detection is incompatible with the
complexity and heterogeneity of renal pathology. The diagnosis of kidney disease has …

The tools of functional genomics and proteomics have provided us with promising novel
biomarkers for acute kidney injury and chronic kidney disease. It will be important in future …

The use of reliable biomarkers is becoming increasingly important for the improved
management of patients with acute and chronic kidney diseases. Recent developments …

Animal models and human studies have been useful in dissecting the molecular
mechanisms of renal disease and finding new disease targets; however, translation of these …

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 …

Kidney research is entering an era of 'big data'and molecular omics data can provide
comprehensive insights into the molecular footprints of cells. In contrast to transcriptomics …

Chronic kidney disease (CKD) is a major and serious global health problem that leads to
kidney damage as well as multiple systemic diseases. Early diagnosis and treatment are two …

There is a paucity of sensitive and specific biomarkers for the early prediction of CKD
progression. The recent application of innovative technologies such as functional genomics …

Proteomic biomarkers offer the hope of improving the management of patients with kidney
diseases by enabling more accurate and earlier detection of renal pathology than is …

Kidney damage can be induced by ischemia, autoimmune diseases, hypertension, allograft
rejection, metabolic or genetic disorders, infections or toxins. The influence of these factors …