OMICS in Chronic Kidney Disease: Focus on Prognosis and Prediction.

ABSTRACT: 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 new prognostic and predictive biomarkers with the aim of mitigating this risk. The 'omics' techniques, namely genomics, proteomics, metabolomics, and transcriptomics, are excellent candidates to provide a better understanding of pathophysiologic mechanisms of disease in CKD, to improve risk stratification of patients with respect to future cardiovascular events, and to identify CKD patients who are likely to respond to a treatment. Following such a strategy, a reliable risk of future events for a particular patient may be calculated and consequently the patient would also benefit from the best available treatment based o

SUBMITTER: Provenzano M 

PROVIDER: S-EPMC8745343 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature