Evidence map›Paper›PMID 39623445›Full record

ArticleBMC medicine2024

Multiomics profiling of DNA methylation, microRNA, and mRNA in skeletal muscle from monozygotic twin pairs discordant for type 2 diabetes identifies dysregulated genes controlling metabolism.

Charlotte Ling, Magdalena Vavakova, Bilal Ahmad Mir, Johanna Säll, Alexander Perfilyev, Melina Martin, Per-Anders Jansson, Cajsa Davegårdh, Olof Asplund, Ola Hansson and 2 more

Abstract readTwin Study
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. MicroRNA Regulatory Targets Related to VObioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
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

12 authors.

Charlotte LingEpigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Scania University Hospital, Malmö, 205 02, Sweden. charlotte.ling@med.lu.se.
Magdalena VavakovaEpigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Scania University Hospital, Malmö, 205 02, Sweden.
Bilal Ahmad MirGenomics, Diabetes and Endocrinology Unit, Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Johanna SällEpigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Scania University Hospital, Malmö, 205 02, Sweden.
Alexander PerfilyevEpigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Scania University Hospital, Malmö, 205 02, Sweden.
Melina MartinEpigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Scania University Hospital, Malmö, 205 02, Sweden.
Per-Anders JanssonWallenberg Laboratory, Department of Molecular and Clinical Medicine, Sahlgrenska University Hospital, Bruna Straket 16, Level 2/3, Gothenburg, 413 45, Sweden.
Cajsa DavegårdhEpigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Scania University Hospital, Malmö, 205 02, Sweden.
Olof AsplundGenomics, Diabetes and Endocrinology Unit, Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Ola HanssonGenomics, Diabetes and Endocrinology Unit, Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Allan VaagSteno Diabetes Center Copenhagen, Herlev, Denmark.
Emma NilssonEpigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Scania University Hospital, Malmö, 205 02, Sweden.

Funding

Vetenskapsrådet 2016-02486Vetenskapsrådet 2018-02567Vetenskapsrådet 2021-00628
6 · The paper itself

Abstract

backgroundA large proportion of skeletal muscle insulin resistance in type 2 diabetes (T2D) is caused by environmental factors.

methodsBy applying multiomics mRNA, microRNA (miRNA), and DNA methylation platforms in biopsies from 20 monozygotic twin pairs discordant for T2D, we aimed to delineate the epigenetic and transcriptional machinery underlying non-genetic muscle insulin resistance in T2D.

resultsUsing gene set enrichment analysis (GSEA), we found decreased mRNA expression of genes involved in extracellular matrix organization, branched-chain amino acid catabolism, metabolism of vitamins and cofactors, lipid metabolism, muscle contraction, signaling by receptor tyrosine kinases pathways, and translocation of glucose transporter 4 (GLUT4) to the plasma membrane in muscle from twins with T2D. Differential expression levels of one or more predicted target relevant miRNA(s) were identified for approximately 35% of the dysregulated GSEA pathways. These include miRNAs with a significant overrepresentation of targets involved in GLUT4 translocation (miR-4643 and miR-548z), signaling by receptor tyrosine kinases pathways (miR-607), and muscle contraction (miR-4658). Acquired DNA methylation changes in skeletal muscle were quantitatively small in twins with T2D compared with the co-twins without T2D. Key methylation and expression results were validated in muscle, myotubes, and/or myoblasts from unrelated subjects with T2D and controls. Finally, mimicking T2D-associated changes by overexpressing miR-548 and miR-607 in cultured myotubes decreased expression of target genes, GLUT4 and FGFR4, respectively, and impaired insulin-stimulated phosphorylation of Akt (Ser473) and TBC1D4.

conclusionsTogether, we show that T2D is associated with non- and epigenetically determined differential transcriptional regulation of pathways regulating skeletal muscle metabolism and contraction.

Indexed as

Diabetes Mellitus, Type 2DNA MethylationMicroRNAsMuscle, SkeletalRNA, MessengerTwins, MonozygoticAdultAgedFemaleGene Expression ProfilingGene Expression RegulationHumansInsulin ResistanceMaleMiddle AgedMultiomicsMicroRNAsRNA, MessengerDiscordant monozygotic twinsDNA methylationEpigeneticsGene expressionMicroRNA (miRNA)Skeletal muscleType 2 diabetes (T2D)

Identifiers

PMID39623445
PMCPMC11613913

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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.