Evidence map›Paper›PMID 37429525›Full record

ArticleMolecular metabolism2023

Differences in DNA methylation of HAMP in blood cells predicts the development of type 2 diabetes.

Meriem Ouni, Fabian Eichelmann, Markus Jähnert, Christin Krause, Sophie Saussenthaler, Christiane Ott, Pascal Gottmann, Thilo Speckmann, Peter Huypens, Stefan Wolter and 6 more

Open access · goldAbstract read
In one paragraph

Article in Molecular metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

16 authors at 5 institutions in 1 country.

Meriem OuniGerman Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Fabian EichelmannGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany; German Institute of Human Nutrition, Department of Molecular Epidemiology, Potsdam-Rehbruecke, Germany.
Markus JähnertGerman Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Christin KrauseGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute for Human Genetics, Section Epigenetics & Metabolism, University of Lübeck, Germany; Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Germany.
Sophie SaussenthalerGerman Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Christiane OttGerman Institute of Human Nutrition, Department of Molecular Toxicology, Potsdam-Rehbruecke, Germany; DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany.
Pascal GottmannGerman Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Thilo SpeckmannGerman Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Peter HuypensInstitute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Stefan WolterDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Oliver MannDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Martin Hrabé De AngelisGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; School of Life Sciences, Chair of Experimental Genetics, Technical University Munich, Freising, Germany.
Johannes BeckersGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany; School of Life Sciences, Chair of Experimental Genetics, Technical University Munich, Freising, Germany.
Henriette KirchnerGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute for Human Genetics, Section Epigenetics & Metabolism, University of Lübeck, Germany; Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Germany.
Matthias B SchulzeGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany; German Institute of Human Nutrition, Department of Molecular Epidemiology, Potsdam-Rehbruecke, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.
Annette SchürmannGerman Institute of Human Nutrition, Department of Experimental Diabetology, Potsdam-Rehbruecke, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany. Electronic address: schuermann@dife.de.
Deutsches Diabetes-Zentrum e.V. · DEHelmholtz Zentrum München · DEUniversität Hamburg · DEUniversity of Potsdam · DEGerman Centre for Cardiovascular Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBetter disease management can be achieved with earlier detection through robust, sensitive, and easily accessible biomarkers. The aim of the current study was to identify novel epigenetic biomarkers determining the risk of type 2 diabetes (T2D).

methodsLivers of 10-week-old female New Zealand Obese (NZO) mice, slightly differing in their degree of hyperglycemia and liver fat content and thereby in their diabetes susceptibility were used for expression and methylation profiling. We screened for differences in hepatic expression and DNA methylation in diabetes-prone and -resistant mice, and verified a candidate (HAMP) in human livers and blood cells. Hamp expression was manipulated in primary hepatocytes and insulin-stimulated pAKT was detected. Luciferase reporter assays were conducted in a murine liver cell line to test the impact of DNA methylation on promoter activity.

resultsIn livers of NZO mice, the overlap of methylome and transcriptome analyses revealed a potential transcriptional dysregulation of 12 hepatokines. The strongest effect with a 52% decreased expression in livers of diabetes-prone mice was detected for the Hamp gene, mediated by elevated DNA methylation of two CpG sites located in the promoter. Hamp encodes the iron-regulatory hormone hepcidin, which had a lower abundance in the livers of mice prone to developing diabetes. Suppression of Hamp reduces the levels of pAKT in insulin-treated hepatocytes. In liver biopsies of obese insulin-resistant women, HAMP expression was significantly downregulated along with increased DNA methylation of a homologous CpG site. In blood cells of incident T2D cases from the prospective EPIC-Potsdam cohort, higher DNA methylation of two CpG sites was related to increased risk of incident diabetes.

conclusionsWe identified epigenetic changes in the HAMP gene which may be used as an early marker preceding T2D.

Indexed as

Diabetes Mellitus, Type 2HepcidinsAnimalsBiomarkersBlood CellsDNA MethylationFemaleHumansInsulinMiceObesityProspective StudiesBiomarkersHAMP protein, humanHepcidinsInsulinEPIC-PotsdamEpigenetic markersHepcidinT2D riskTranslational approach

Identifiers

PMID37429525
PMCPMC10422014
OpenAlexW4383620292

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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 OpenQuestion graph.