Identification of novel therapeutic targets for chronic kidney disease and kidney function by integrating multi-omics

Shucheng Si1,2, Hongyan Liu1,2, Lu Xu1,2

  • 1Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, 100191, China.

Genome Medicine
|June 19, 2024
PubMed
Abstract

Insights

This study identified 32 proteins associated with chronic kidney disease (CKD) and kidney function by integrating proteome and transcriptome data. These findings offer potential new therapeutic targets for CKD and related conditions.

Area of Science:

  • Genomics and Proteomics
  • Nephrology
  • Biomarker Discovery

Background:

  • Chronic kidney disease (CKD) is a progressive condition with no effective cure.
  • Identifying novel therapeutic targets is crucial for managing CKD and preserving kidney function.

Purpose of the Study:

  • To identify potential drug targets for CKD and kidney function.
  • To integrate plasma proteome and transcriptome data for multi-omics biomarker discovery.

Main Methods:

  • Utilized two-sample Mendelian randomization (MR), summary-based MR (SMR), and colocalization analysis.
  • Integrated protein-protein interaction, Gene Ontology (GO), and single-cell annotation to explore biological roles.
  • Analyzed CKD, kidney function phenotypes, and various CKD clinical types.

Main Results:

  • Identified 32 proteins associated with CKD, validated across datasets and clinical types.
  • Confirmed 12 previously known proteins and identified 20 novel causal proteins.
  • Five novel proteins (GCKR, IGFBP-5, sRAGE, GNPTG, YOD1) passed rigorous MR, SMR, and colocalization analyses.

Conclusions:

  • The integrated analysis identified 32 potential therapeutic targets for CKD.
  • These targets offer promise for developing novel immunotherapies, combination therapies, or targeted interventions for CKD.