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Genomic biomarkers for chronic kidney disease

Wenjun Ju1, Shahaan Smith, Matthias Kretzler

  • 1Division of Nephrology, Department of Internal Medicine, University of Michigan, 1150 W. Medical Center Drive, Ann Arbor, MI 48109-0680, USA. wenjunj@med.umich.edu

Translational Research : the Journal of Laboratory and Clinical Medicine
|March 20, 2012
PubMed

Insights

Identifying genomic biomarkers for chronic kidney disease (CKD) is crucial for early detection and targeted treatment. Research is exploring molecular markers to predict CKD progression and improve patient outcomes.

Area of Science:

  • Nephrology
  • Genomics
  • Biomarker Discovery

Background:

  • Chronic kidney disease (CKD) affects 14-15% of US adults, posing a significant public health challenge.
  • End-stage renal disease is projected to increase by 50% in the next 20 years, necessitating better patient management.
  • Current diagnostic and prognostic tools for CKD are insufficient for early risk identification.

Purpose of the Study:

  • To review the identification and validation of genomic biomarker candidates for CKD.
  • To discuss the challenges and opportunities in developing molecular definitions for CKD progression.
  • To highlight the need for biomarkers enabling early and targeted CKD treatment.

Main Methods:

  • Review of clinical studies on genomic biomarker candidates for CKD.
  • Analysis of molecular approaches in personalized medicine, drawing parallels to kidney disease research.
  • Exploration of multi-level genomic and phenomic data.

Main Results:

  • Potential molecular biomarker candidates have been identified across the genome-phenome continuum.
  • Genomic approaches show promise for personalized CKD management.
  • Challenges include kidney cellular heterogeneity and limited human tissue availability.

Conclusions:

  • Genomic biomarkers offer a promising avenue for early CKD detection and risk stratification.
  • Molecular definitions of CKD are essential for advancing personalized nephrology care.
  • Further research is needed to overcome challenges and validate novel biomarkers for clinical application.

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