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Biomarkers and personalized therapy in chronic kidney diseases

Francesco Paolo Schena1

  • 1University of Bari and CARSO Consortium , Policlinico, Piazza G. Cesare 11, 70124 Bari , Italy +39 080 5478869 ; +39 080 5575710 ; paolo.schena@uniba.it.

Expert Opinion on Investigational Drugs
|May 27, 2014
PubMed

Insights

New strategies for chronic kidney diseases (CKDs) may fail due to patient pharmacogenetics. Integrating omics data with databases can predict drug efficacy and side effects for personalized CKD therapy.

Area of Science:

  • Nephrology
  • Genomics
  • Pharmacogenomics

Background:

  • Current chronic kidney disease (CKD) trials often overlook patient-specific pharmacogenetic profiles, potentially explaining therapy non-response.
  • High-throughput omics technologies (genomics, proteomics, metabolomics) offer novel biomarker discovery for renal damage mechanisms.

Discussion:

  • Omics data integration with drug and disease databases can predict treatment efficacy and adverse events in CKD patients.
  • Classifiers utilizing gene, protein, and metabolite lists, successful in oncology and transplantation, are now applicable to glomerulonephritis care.

Key Insights:

  • Pharmacogenomics is a critical, yet often neglected, factor in CKD treatment outcomes.
  • Personalized medicine approaches using omics data can optimize drug selection and improve patient care in CKD.

Outlook:

  • Future CKD research should incorporate pharmacogenomic profiling for enhanced therapeutic strategies.
  • Integrating multi-omics data holds significant promise for advancing personalized nephrology and improving patient management.
Keywords:
biomarkerschronic kidney diseasespersonalized therapypharmacogeneticspharmacogenomics

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