Evidence map›Paper›PMID 25145546›Full record

ArticleDiabetologia2014

Global DNA methylation levels in human adipose tissue are related to fat distribution and glucose homeostasis.

Maria Keller, Susan Kralisch, Kerstin Rohde, Dorit Schleinitz, Arne Dietrich, Michael R Schön, Daniel Gärtner, Tobias Lohmann, Miriam Dreßler, Anke Tönjes and 5 more

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Article in Diabetologia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 59 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Maria KellerMedical Faculty, IFB Adiposity Diseases, University of Leipzig, Liebigstrasse 21, 04103, Leipzig, Germany.
Susan Kralisch
Kerstin Rohde
Dorit Schleinitz
Arne Dietrich
Michael R Schön
Daniel Gärtner
Tobias Lohmann
Miriam Dreßler
Anke Tönjes
Michael Stumvoll
Peter Kovacs
Mathias Fasshauer
Matthias Blüher
Yvonne Böttcher
IFB Adiposity Diseases · DELeipzig University · DEStädtisches Klinikum Dresden · DEStädtisches Klinikum Karlsruhe · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisEpigenetic alterations may influence the metabolic pathways involved in human obesity. We hypothesised that global DNA methylation levels in adipose tissue might be associated with obesity and related phenotypes.

methodsWe measured global DNA methylation levels in paired samples of subcutaneous adipose tissue (SAT) and omental visceral adipose tissue (OVAT) from 51 individuals, and in leucocytes from 559 Sorbs, a population from Germany, using LUminometric Methylation Assay (LUMA). To further investigate the underlying mechanisms of the observed associations, we measured global methylation levels in 3T3-L1 adipocytes exposed to glucose, insulin and lipids.

resultsGlobal methylation levels (±SD) were significantly higher in OVAT (74.27% ± 2.2%) compared with SAT (71.97% ± 2.4%; paired t test, p < 1 × 10(-9)). Furthermore, global methylation levels in SAT were positive correlates of measures of fat distribution (waist measurement, WHR) and glucose homeostasis (HbA1c) (all p < 0.015 after accounting for multiple testing and covariates). Global methylation levels in the German Sorb cohort were associated with glucose homeostasis, but this association did not withstand adjustment for covariates. Exposure of 3T3-L1 adipocytes to insulin, palmitate and glucose decreased global methylation levels 1 h after treatment relative to controls. CONCLUSIONS/

interpretationOur data suggest that the variability in global methylation in adipose tissue might be related to alterations in glucose metabolism.

Indexed as

3T3-L1 CellsAdipose TissueAdultAgedAnimalsCell DifferentiationDNA MethylationFemaleGlucoseHumansIntra-Abdominal FatIn Vitro TechniquesMaleMiceMiddle AgedGlucose

Identifiers

PMID25145546
OpenAlexW2102732501

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.