Evidence map›Paper›PMID 41212627›Full record

ReviewJournal of the American Society of Nephrology : JASN2026

Dissecting Normal and Abnormal Human Kidney Development Using Multiomics.

Luna S Klomp, Lampros Mavrommatis, Fanny O Arcolino, Hildo C Lantermans, Elena Levtchenko, Christoph Kuppe, Rik Westland

Abstract readReview
In one paragraph

Review in Journal of the American Society of Nephrology : JASN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Luna S KlompDepartment of Pediatric Nephrology, Emma Children's Hospital - Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.ORCID 0009-0005-9848-4027
Lampros MavrommatisDivision of Nephrology and Clinical Immunology, Medical Faculty, RWTH Aachen University, Aachen, Germany.ORCID 0009-0001-6826-8068
Fanny O ArcolinoDepartment of Pediatric Nephrology, Emma Children's Hospital - Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-2207-9699
Hildo C LantermansDepartment of Pediatric Nephrology, Emma Children's Hospital - Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-4740-5526
Elena LevtchenkoDepartment of Pediatric Nephrology, Emma Children's Hospital - Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-8352-7312
Christoph KuppeDivision of Nephrology and Clinical Immunology, Medical Faculty, RWTH Aachen University, Aachen, Germany.ORCID 0000-0003-4597-9833
Rik WestlandDepartment of Pediatric Nephrology, Emma Children's Hospital - Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-4960-4078

Funding

Amsterdam University Medical Centers MD PhD grantDeutsche Forschungsgemeinschaft 445703531, 459969915 and 545524314European Research Council ERC-CoG-101045467European Research Council ERC-StG-101040726Nierstichting 24OK1076; 20OC002; 24OM+012
6 · The paper itself

Abstract

Congenital kidney anomalies frequently lead to development of CKD in children and adults, with limited possibility for accurate prognostication and successful intervention. Causal genetic variants are identified in a minority of individuals, while the biologic interpretation of putative genetic variants and their effect on kidney development and CKD remains incompletely understood. Advances in single-cell and spatial multiomics now enable a deeper biologic understanding and interpretation of disease-causing mechanisms of congenital kidney anomalies, holding promise for precise diagnoses, prognostication, and treatment for patients. In this review, we provide an overview of multiomics approaches, including transcriptomics, epigenomics, proteomics, and metabolomics, for characterizing and understanding the biology of human kidney development and disease. We will discuss the technical capabilities and challenges in mapping the spatial distribution of normal and abnormal developmental processes in the kidney. Moreover, we present three key multiomics case studies and discuss their experimental design considerations. Finally, future directions and the potential effect of multiomics approaches on the biologic understanding of kidney disease in development and adulthood are discussed. This review highlights that by integrating molecular insights, multiomics has the potential to transform our understanding of genetic (or variant-driven) and nongenetic kidney disease mechanisms and to advance precision diagnostics, prognostics, and therapies for congenital kidney anomalies.

Indexed as

KidneyKidney DiseasesEpigenomicsGenomicsHumansMetabolomicsMultiomicsProteomicsTranscriptomecell biology and structuregenetic diseases and developmentkidney developmentmetabolomicspediatric nephrologyproteomicsrenal development

Identifiers

PMID41212627
PMCPMC12935381

What Socratic holds

Textmetadata
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Registered trials

None linked

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.