Evidence map›Paper›PMID 36633903›Full record

ArticleThe Journal of clinical investigation2023

Reduced methylation correlates with diabetic nephropathy risk in type 1 diabetes.

Ishant Khurana, Harikrishnan Kaipananickal, Scott Maxwell, Sørine Birkelund, Anna Syreeni, Carol Forsblom, Jun Okabe, Mark Ziemann, Antony Kaspi, Haloom Rafehi and 22 more

Open access · goldAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
7.4field-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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  8. Multi-Omics Integration IdentifiesInternational journal of molecular sciences · 2025
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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

32 authors at 11 institutions in 7 countries.

Ishant KhuranaEpigenetics in Human Health and Disease Laboratory and.
Harikrishnan KaipananickalEpigenetics in Human Health and Disease Laboratory and.
Scott MaxwellEpigenetics in Human Health and Disease Laboratory and.
Sørine BirkelundEpigenetics in Human Health and Disease Laboratory and.
Anna SyreeniFolkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.
Carol ForsblomFolkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.
Jun OkabeEpigenetics in Human Health and Disease Laboratory and.
Mark ZiemannEpigenetics in Human Health and Disease Laboratory and.
Antony KaspiEpigenetics in Human Health and Disease Laboratory and.
Haloom RafehiEpigenetics in Human Health and Disease Laboratory and.
Anne JørgensenEpigenetics in Human Health and Disease Laboratory and.
Keith Al-HasaniEpigenetics in Human Health and Disease Laboratory and.
Merlin C ThomasDepartment of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
Guozhi JiangDepartment of Medicine and Therapeutics.
Andrea Oy LukDepartment of Medicine and Therapeutics.
Heung Man LeeDepartment of Medicine and Therapeutics.
Yu HuangDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, China.
Yotsapon ThewjitcharoenDiabetes and Thyroid Center, Theptarin Hospital, Bangkok, Thailand.
Soontaree NakasatienDiabetes and Thyroid Center, Theptarin Hospital, Bangkok, Thailand.
Thep HimathongkamDiabetes and Thyroid Center, Theptarin Hospital, Bangkok, Thailand.
Christopher FogartyFolkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.
Rachel NjeimDepartment of Anatomy, Cell Biology and Physiology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Assaad EidDepartment of Anatomy, Cell Biology and Physiology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Tine Willum HansenSteno Diabetes Center Copenhagen, Herlev, Denmark.
Nete TofteSteno Diabetes Center Copenhagen, Herlev, Denmark.
Evy C OttesenSteno Diabetes Center Copenhagen, Herlev, Denmark.
Ronald Cw MaDepartment of Medicine and Therapeutics.
Juliana Cn ChanDepartment of Medicine and Therapeutics.
Mark E CooperDepartment of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
Peter RossingSteno Diabetes Center Copenhagen, Herlev, Denmark.
Per-Henrik GroopDepartment of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
Assam El-OstaEpigenetics in Human Health and Disease Laboratory and.
Monash University · AUChinese University of Hong Kong · HKSteno Diabetes Centers · DKUniversity of Helsinki · FIBangkok Hospital · THAmerican University of Beirut · LBThe University of Melbourne · AUCity University of Hong Kong · HKTherapeutics Clinical Research · USUniversity College Copenhagen · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is a polygenic disorder with few risk variants showing robust replication in large-scale genome-wide association studies. To understand the role of DNA methylation, it is important to have the prevailing genomic view to distinguish key sequence elements that influence gene expression. This is particularly challenging for DN because genome-wide methylation patterns are poorly defined. While methylation is known to alter gene expression, the importance of this causal relationship is obscured by array-based technologies since coverage outside promoter regions is low. To overcome these challenges, we performed methylation sequencing using leukocytes derived from participants of the Finnish Diabetic Nephropathy (FinnDiane) type 1 diabetes (T1D) study (n = 39) that was subsequently replicated in a larger validation cohort (n = 296). Gene body-related regions made up more than 60% of the methylation differences and emphasized the importance of methylation sequencing. We observed differentially methylated genes associated with DN in 3 independent T1D registries originating from Denmark (n = 445), Hong Kong (n = 107), and Thailand (n = 130). Reduced DNA methylation at CTCF and Pol2B sites was tightly connected with DN pathways that include insulin signaling, lipid metabolism, and fibrosis. To define the pathophysiological significance of these population findings, methylation indices were assessed in human renal cells such as podocytes and proximal convoluted tubule cells. The expression of core genes was associated with reduced methylation, elevated CTCF and Pol2B binding, and the activation of insulin-signaling phosphoproteins in hyperglycemic cells. These experimental observations also closely parallel methylation-mediated regulation in human macrophages and vascular endothelial cells.

Indexed as

Diabetes Mellitus, Type 1Diabetic NephropathiesDNA MethylationEndothelial CellsGenome-Wide Association StudyHumansInsulinInsulinDiabetesEpigeneticsMetabolismNephrology

Identifiers

PMID36633903
PMCPMC9927943
OpenAlexW4315754274

What OpenQuestion holds

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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.