Evidence map›Paper›PMID 42782834›Full record

ArticleEpigenomes2026

Genome-Wide DNA Methylation Profiling Reveals Stage- and Severity-Associated Epigenetic Alterations in Children with Posterior Urethral Valve-Associated Chronic Kidney Disease.

Sachit Anand, Catherine Daise Arokiadas, Ajay Verma, Jitendra Kumar Meena, Chittaranjan Behera, Sandeep Agarwala, Kalpana Luthra

Abstract read
In one paragraph

Article in Epigenomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sachit AnandDepartment of Pediatric Surgery, All India Institute of Medical Sciences, New Delhi 110029, India.ORCID 0000-0002-0447-2350
Catherine Daise ArokiadasDepartment of Pediatric Surgery, All India Institute of Medical Sciences, New Delhi 110029, India.
Ajay VermaDepartment of Pediatric Surgery, All India Institute of Medical Sciences, New Delhi 110029, India.ORCID 0000-0002-0772-105X
Jitendra Kumar MeenaDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi 110029, India.
Chittaranjan BeheraDepartment of Forensic Medicine and Toxicology, All India Institute of Medical Sciences, New Delhi 110029, India.ORCID 0000-0003-3280-4778
Sandeep AgarwalaDepartment of Pediatric Surgery, All India Institute of Medical Sciences, New Delhi 110029, India.
Kalpana LuthraDepartment of Biochemistry, All India Institute of Medical Sciences, New Delhi 110029, India.ORCID 0000-0002-7801-2867

Funding

All India Institute of Medical Sciences A-1063
6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is an important cause of morbidity in children, particularly in those with congenital anomalies of the kidney and urinary tract. Although epigenetic alterations have been implicated in CKD, stage-associated genome-wide DNA methylation changes remain poorly characterized in posterior urethral valves (PUV). This study aimed to characterize DNA methylation patterns across CKD stages in children with PUV and identify potential methylation markers associated with CKD severity.

methodsGenome-wide DNA methylation profiling was performed on peripheral blood DNA from 20 boys with PUV stratified by CKD stage and 19 age-matched healthy male controls using the Illumina MethylationEPIC v2.0 array. Analyses included a global stage-wise model, stage-specific comparisons against controls and between CKD stages, an overall PUV-associated CKD-versus-control model, functional enrichment analysis, candidate CKD progression gene analysis, and CKD severity-associated methylation analysis.

resultsA global stage-wise analysis identified 11,134 CpG sites showing significant methylation variation across controls and PUV-associated CKD. Differential methylation burden was limited in early CKD stages but increased markedly in advanced CKD, with 4734 and 20,242 DMPs identified in Stage 4 and Stage 5, respectively. DMP-associated genes in advanced CKD stages showed enrichment of immune-related, structural remodeling, and intracellular signaling pathways. Candidate gene analysis identified significant methylation changes in previously reported CKD progression-associated genes, with greater representation in advanced CKD stages. CKD severity-associated analysis identified cg16879596_BC21, annotated to

conclusionsPUV-associated CKD is characterized by stage-associated DNA methylation changes, with a marked increase in methylation burden in advanced CKD stages. The findings highlight immune, structural remodeling, and signaling pathways associated with advanced CKD and identify

Indexed as

chronic kidney diseaseCYP3A5DNA methylationepigenomicsMethylationEPIC arrayobstructive uropathyposterior urethral valves

Identifiers

PMID42782834
PMCPMC13605981

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.