Evidence map›Paper›PMID 38287030›Full record

ArticleNature communications2024

Unraveling the epigenetic code: human kidney DNA methylation and chromatin dynamics in renal disease development.

Yu Yan, Hongbo Liu, Amin Abedini, Xin Sheng, Matthew Palmer, Hongzhe Li, Katalin Susztak

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.5field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  8. Kidney Disease as a Driver of Immunosenescence: Mechanisms and Potential Interventions.Journal of the American Society of Nephrology : JASN · 2026
    Review
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  11. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yu YanRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19014, USA.
Hongbo LiuRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19014, USA.ORCID 0000-0002-0733-8616
Amin AbediniRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19014, USA.ORCID 0000-0002-8875-0070
Xin ShengRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19014, USA.ORCID 0000-0002-3620-3577
Matthew PalmerKidney Innovation Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19014, USA.
Hongzhe LiKidney Innovation Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19014, USA.
Katalin SusztakRenal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19014, USA. ksusztak@pennmedicine.upenn.edu.ORCID 0000-0002-1005-3726
University of Pennsylvania · US

Funding

VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI DOUGLAS J EPSTEIN · 1986 to 2026
$48.3M
TRANSGENIC AND CHIMERIC MOUSE COREP30DK050306 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GARY D. WU · 1997 to 2026
$32.5M
Role of the Notch Pathway in Kidney InjuryR01DK076077 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2007 to 2026
$8.0M
Epigenetics of Chronic Kidney DiseaseR01DK087635 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2009 to 2026
$7.0M
APOL1 associated kidney diseaseR01DK105821 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2016 to 2024
$4.6M
NIDDK NIH HHS P30 DK019525NIDDK NIH HHS P30 DK050306NIDDK NIH HHS R01 DK076077NIDDK NIH HHS R01 DK087635NIDDK NIH HHS R01 DK105821
6 · The paper itself

Abstract

Epigenetic changes may fill a critical gap in our understanding of kidney disease development, as they not only reflect metabolic changes but are also preserved and transmitted during cell division. We conducted a genome-wide cytosine methylation analysis of 399 human kidney samples, along with single-nuclear open chromatin analysis on over 60,000 cells from 14 subjects, including controls, and diabetes and hypertension attributed chronic kidney disease (CKD) patients. We identified and validated differentially methylated positions associated with disease states, and discovered that nearly 30% of these alterations were influenced by underlying genetic variations, including variants known to be associated with kidney disease in genome-wide association studies. We also identified regions showing both methylation and open chromatin changes. These changes in methylation and open chromatin significantly associated gene expression changes, most notably those playing role in metabolism and expressed in proximal tubules. Our study further demonstrated that methylation risk scores (MRS) can improve disease state annotation and prediction of kidney disease development. Collectively, our results suggest a causal relationship between epigenetic changes and kidney disease pathogenesis, thereby providing potential pathways for the development of novel risk stratification methods.

Indexed as

DNA MethylationRenal Insufficiency, ChronicChromatinEpigenesis, GeneticGenome-Wide Association StudyHumansKidneyChromatin

Identifiers

PMID38287030
PMCPMC10824731
OpenAlexW4391311657

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.