Evidence mapPaperPMID 41569424Full record

ArticleDiabetologia2026

Blood DNA methylation markers are associated with diabetic kidney disease progression in type 1 diabetes.

Anna Syreeni, Emma H Dahlström, Laura J Smyth, Claire Hill, Stefan Mutter, Valma Harjutsalo, Zhuo Chen, Rama Natarajan, Andrzej S Krolewski, Joel N Hirschhorn and 7 more

Abstract read
In one paragraph

Article in Diabetologia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Anna SyreeniFolkhälsan Research Center, Helsinki, Finland.ORCID http://orcid.org/0000-0003-1857-2560
Emma H DahlströmFolkhälsan Research Center, Helsinki, Finland.ORCID http://orcid.org/0000-0003-1271-8696
Laura J SmythMolecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0001-6419-4826
Claire HillMolecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-2481-5162
Stefan MutterFolkhälsan Research Center, Helsinki, Finland.ORCID http://orcid.org/0000-0002-8293-6982
Valma HarjutsaloFolkhälsan Research Center, Helsinki, Finland.ORCID http://orcid.org/0000-0003-3568-9779
Zhuo ChenDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes & Metabolism Research Institute and Beckman Research Institute of City of Hope, Duarte, CA, USA.ORCID http://orcid.org/0000-0002-3522-9660
Rama NatarajanDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes & Metabolism Research Institute and Beckman Research Institute of City of Hope, Duarte, CA, USA.ORCID http://orcid.org/0000-0003-4494-1788
Andrzej S KrolewskiSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1705-2953
Joel N HirschhornPrograms in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA.
Jose C FlorezDepartment of Medicine, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1730-9325
GENIE Consortium
Alexander P MaxwellMolecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-6110-7253
Per-Henrik GroopFolkhälsan Research Center, Helsinki, Finland.ORCID http://orcid.org/0000-0003-4055-6954
Amy Jayne McKnightMolecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK. a.j.mcknight@qub.ac.uk.ORCID http://orcid.org/0000-0002-7482-709X
Niina SandholmFolkhälsan Research Center, Helsinki, Finland. niina.sandholm@helsinki.fi.ORCID http://orcid.org/0000-0003-4322-6942
FinnDiane Study Group

Funding

Inflammatory Gene Transcription In Diabetic ConditionsR01DK065073 · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · 2003 to 2005
$1.2M
A functional genomics pipeline for genetic discovery in diabetic kidney diseaseR01DK132299 · BROAD INSTITUTE, INC. · 2025 to 2025
$623k
Foundation for the National Institutes of Health R01DK041526Foundation for the National Institutes of Health R01DK110350Foundation for the National Institutes of Health R01DK126799Foundation for the National Institutes of Health R01DK131061Helsinki University Hospital TYH2023403HSC R&D Division STL/5569/19NIDDK NIH HHS R01DK065073NIDDK NIH HHS R01DK081705NIDDK NIH HHS R01DK105154NIDDK NIH HHS R01 DK132299NIDDK NIH HHS R01DK132299Northern Ireland Kidney Research Fund Fellowship Recipient L.J.S.Novo Nordisk Fonden NNF23OC0082732Research Council of Finland 316664Sigrid Juséliuksen Säätiö 250214Wanek family project for the cure of Type 1 diabetes (City of Hope Beckman Research Institute) R.N.Wellcome Trust 220027
6 · The paper itself

Abstract

aims/hypothesisDNA methylation has been shown to be associated with kidney function and diabetic kidney disease (DKD), but prospective studies are scarce. Therefore, we conducted epigenome-wide association studies (EWASs) on early- and late-stage DKD progression using DNA methylation data obtained by analysing baseline blood samples from participants in the Finnish Diabetic Nephropathy Study type 1 diabetes cohort.

methodsWe included 403 individuals with normal AER (early-stage progression group) and 372 individuals with severe albuminuria (late-stage progression group), and followed up DKD progression, defined as a decrease in eGFR to <60 ml/min per 1.73 m

resultsWe identified 11 methylation sites associated with DKD progression (p<9.4 × 10 CONCLUSIONS/

interpretationThe current study detected 11 loci associated with DKD progression, identifying methylation changes predictive of early-stage DKD progression in type 1 diabetes for the first time. Future research is needed to establish prognostic DNA methylation markers for DKD progression.

Indexed as

Diabetes Mellitus, Type 1Diabetic NephropathiesDNA MethylationAdultBiomarkersDisease ProgressionEpigenesis, GeneticFemaleGenome-Wide Association StudyGlomerular Filtration RateHumansMaleMiddle AgedBiomarkersDiabetic kidney diseaseDNA methylationEpigeneticsGenomics/proteomicsType 1 diabetes

Identifiers

PMID41569424
PMCPMC13005839

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.