The Need for Omics Studies in Chronic Kidney Disease of Unknown Etiology (CKDu): A Narrative Review and Perspective

Chronic Kidney Disease of Unknown Etiology (CKDu) is an ongoing global health concern, particularly affecting agricultural communities in equatorial regions. Unlike traditional chronic kidney disease (CKD), CKDu occurs without common risk factors such as diabetes, hypertension, or kidney stones. Its etiology remains poorly understood, with environmental exposures, occupational hazards, and genetic susceptibility proposed as contributing factors. Omic technologies including genomics, transcriptomics, proteomics, metabolomics, and exposomics offer promising avenues to elucidate CKDu pathogenesis by enabling comprehensive molecular profiling and identification of biomarkers. Recent genomic studies have explored single nucleotide polymorphisms (SNPs) linked to kidney injury susceptibility, while transcriptomic analyses have identified differential expression of genes involved in oxidative stress and tubular injury pathways. Proteomic investigations have revealed candidate urinary biomarkers such as heat shock proteins and inflammatory mediators, and metabolomic profiling has highlighted alterations in amino acid and energy metabolism in affected individuals. Exposomic approaches are beginning to characterize cumulative chemical exposures, including pesticides and heavy metals, in endemic regions. This narrative review synthesizes current evidence on the application of omics approaches in CKDu research, highlights knowledge gaps, and proposes future directions for integrating multi-omics studies with machine learning and artificial intelligence approaches. Advancing omics-based investigations may provide critical insights into disease mechanisms, improve diagnostic precision, and inform targeted interventions for vulnerable populations.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-06-26
DOI
https://doi.org/10.3390/ijms27135766
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00

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article

The Need for Omics Studies in Chronic Kidney Disease of Unknown Etiology (CKDu): A Narrative Review and Perspective

Richard J. Johnson, Matthew Gibb, Amy S. Li, Zhoumeng Lin et al.
International Journal of Molecular Sciences
Chronic Kidney Disease and Diabetes
article

The Need for Omics Studies in Chronic Kidney Disease of Unknown Etiology (CKDu): A Narrative Review and Perspective

Richard J. Johnson, Matthew Gibb, Amy S. Li, Zhoumeng Lin, Chi‐Yun Chen, Jared M. Brown, Carly S. Chesterman
article en

Abstract

Chronic Kidney Disease of Unknown Etiology (CKDu) is an ongoing global health concern, particularly affecting agricultural communities in equatorial regions. Unlike traditional chronic kidney disease (CKD), CKDu occurs without common risk factors such as diabetes, hypertension, or kidney stones. Its etiology remains poorly understood, with environmental exposures, occupational hazards, and genetic susceptibility proposed as contributing factors. Omic technologies including genomics, transcriptomics, proteomics, metabolomics, and exposomics offer promising avenues to elucidate CKDu pathogenesis by enabling comprehensive molecular profiling and identification of biomarkers. Recent genomic studies have explored single nucleotide polymorphisms (SNPs) linked to kidney injury susceptibility, while transcriptomic analyses have identified differential expression of genes involved in oxidative stress and tubular injury pathways. Proteomic investigations have revealed candidate urinary biomarkers such as heat shock proteins and inflammatory mediators, and metabolomic profiling has highlighted alterations in amino acid and energy metabolism in affected individuals. Exposomic approaches are beginning to characterize cumulative chemical exposures, including pesticides and heavy metals, in endemic regions. This narrative review synthesizes current evidence on the application of omics approaches in CKDu research, highlights knowledge gaps, and proposes future directions for integrating multi-omics studies with machine learning and artificial intelligence approaches. Advancing omics-based investigations may provide critical insights into disease mechanisms, improve diagnostic precision, and inform targeted interventions for vulnerable populations.

International Journal of Molecular SciencesVol. 27(13)
Oregon Health & Science University (US), University of Florida (US), University of Colorado Anschutz Medical Campus (US)
National Institute of Diabetes and Digestive and Kidney Diseases
Openalex Percentile: Top 7%
Chronic Kidney Disease and Diabetes
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