Evidence map›Paper›PMID 38032738›Full record

ArticleThe Journal of clinical investigation2024

Interactions among insulin resistance, epigenetics, and donor sex in gene expression regulation of iPSC-derived myoblasts.

Nida Haider, C Ronald Kahn

Open access · goldAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
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

2 authors at 1 institution in 1 country.

Nida Haider
C Ronald Kahn
Joslin Diabetes Center · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
The Insulin Receptor and Its Signaling MechanismsR01DK031036 · NIDDK · JOSLIN DIABETES CENTER · PI C RONALD KAHN · 1986 to 2026
$4.2M
Alterations in Post-Receptor Insulin Signaling in Diabetes and Insulin ResistanceR01DK128429 · NIDDK · JOSLIN DIABETES CENTER · PI KAHN, C RONALD · 2021 to 2025
$2.9M
NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK031036NIDDK NIH HHS R01 DK128429
6 · The paper itself

Abstract

About 25% of people in the general population are insulin resistant, increasing the risk for type 2 diabetes (T2D) and metabolic disease. Transcriptomic analysis of induced pluripotent stem cells differentiated into myoblasts (iMyos) from insulin-resistant (I-Res) versus insulin-sensitive (I-Sen) nondiabetic individuals revealed that 306 genes increased and 271 genes decreased in expression in iMyos from I-Res donors with differences of 2-fold or more. Over 30 of the genes changed in I-Res iMyos were associated with T2D by SNPs and were functionally linked to insulin action and control of metabolism. Interestingly, we also identified more than 1,500 differences in gene expression that were dependent on the sex of the cell donor, some of which modified the insulin resistance effects. Many of these sex differences were associated with increased DNA methylation in cells from female donors and were reversed by 5-azacytidine. By contrast, the insulin sensitivity differences were not reversed and thus appear to reflect genetic or methylation-independent epigenetic effects.

Indexed as

Diabetes Mellitus, Type 2Induced Pluripotent Stem CellsInsulin ResistanceDNA MethylationEpigenesis, GeneticFemaleGene Expression RegulationHumansInsulinMaleMyoblastsInsulinCell BiologyDiabetesInsulin signalingiPS cellsMetabolism

Identifiers

PMID38032738
PMCPMC10786688
OpenAlexW4389168282

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.