Evidence map›Paper›PMID 39649605›Full record

ArticlemedRxiv : the preprint server for health sciences2024

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

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

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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

5 · Who and what money

Authors and funding

17 authors.

Anna SyreeniFolkhälsan Research Center, Helsinki, Finland.ORCID 0000-0003-1857-2560
Emma H DahlströmFolkhälsan Research Center, Helsinki, Finland.ORCID 0000-0003-1271-8696
Laura J SmythMolecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.ORCID 0000-0001-6419-4826
Claire HillMolecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.ORCID 0000-0002-2481-5162
Stefan MutterFolkhälsan Research Center, Helsinki, Finland.ORCID 0000-0002-8293-6982
Yogesh GuptaMolecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.ORCID 0000-0003-4569-1741
Valma HarjutsaloFolkhälsan Research Center, Helsinki, Finland.ORCID 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, 91010, USA.ORCID 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, 91010, USA.ORCID 0000-0003-4494-1788
Andrzej S KrolewskiSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center; Boston, MA, 02215, USA.ORCID 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, 02215, USA.
GENIE consortium
Alexander P MaxwellMolecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.ORCID 0000-0002-6110-7253
Per-Henrik GroopFolkhälsan Research Center, Helsinki, Finland.ORCID 0000-0003-4055-6954
Amy Jayne McKnightMolecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.ORCID 0000-0002-7482-709X
Niina SandholmFolkhälsan Research Center, Helsinki, Finland.ORCID 0000-0003-4322-6942

Funding

Inflammatory Gene Transcription In Diabetic ConditionsR01DK065073 · NIDDK · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI NATARAJAN, RAMA · 2003 to 2021
$7.9M
Transforming growth factor beta1, microRNAs, lncRNA and diabetic nephropathyR01DK081705 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NATARAJAN, RAMA · 2009 to 2023
$6.1M
A functional genomics pipeline for genetic discovery in diabetic kidney diseaseR01DK132299 · NIDDK · BROAD INSTITUTE, INC. · PI JOSE CARLOS FLOREZ, JOEL N HIRSCHHORN · 2022 to 2026
$3.2M
Integrative genomic, epigenetic and functional studies in diabetic kidney diseaseR01DK105154 · NIDDK · BROAD INSTITUTE, INC. · PI FLOREZ, JOSE CARLOS, HIRSCHHORN, JOEL N · 2016 to 2019
$3.0M
NIDDK NIH HHS R01 DK065073NIDDK NIH HHS R01 DK081705NIDDK NIH HHS R01 DK105154NIDDK NIH HHS R01 DK132299
6 · The paper itself

Abstract

Background: DNA methylation differences are associated with kidney function and diabetic kidney disease (DKD), but prospective studies are scarce. Therefore, we aimed to study DNA methylation in a prospective setting in the Finnish Diabetic Nephropathy Study type 1 diabetes (T1D) cohort. Methods: We analysed baseline blood sample-derived DNA methylation (Illumina's EPIC array) of 403 individuals with normal albumin excretion rate (early progression group) and 373 individuals with severe albuminuria (late progression group) and followed-up their DKD progression defined as decrease in eGFR to <60 mL/min/1.73m Results: Altogether, 14 methylation sites were associated with DKD progression ( Conclusions: Our EWAS on early DKD progression identified a podocyte-specific

Identifiers

PMID39649605
PMCPMC11623717

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.