Evidence map›Paper›PMID 35432202›Full record

ArticleFrontiers in endocrinology2022

Hepatic IGF2/H19 Epigenetic Alteration Induced Glucose Intolerance in Gestational Diabetes Mellitus Offspring

Ying Jiang, Hong Zhu, Zi Chen, Yi-Chen Yu, Xiao-Han Guo, Yuan Chen, Meng-Meng Yang, Bang-Wu Chen, Matthew Sagnelli, Dong Xu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Long noncoding RNA (lncRNA)Genes & diseases · 2023
    Review
  14. Article
  15. Multigenerational diabetes mellitus.Frontiers in endocrinology · 2023
    Review
  16. Review
  17. 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 at 4 institutions in 2 countries.

Ying JiangDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Hong ZhuObstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
Zi ChenDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Yi-Chen YuDepartment of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Xiao-Han GuoDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Yuan ChenDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Meng-Meng YangDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Bang-Wu ChenDepartment of Obstetrics, Ninghai Maternal and Child Health Hospital, Ningbo, China.
Matthew SagnelliUniversity of Connecticut School of Medicine, Farmington, CT, United States.
Dong XuDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Bai-Hui ZhaoDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Qiong LuoDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Women's Hospital, School of Medicine, Zhejiang University · CNObstetrics and Gynecology Hospital of Fudan University · CNSir Run Run Shaw Hospital · CNUniversity of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The offspring of women with gestational diabetes mellitus (GDM) have a high predisposition to developing type 2 diabetes during childhood and adulthood. The aim of the study was to evaluate how GDM exposure in the second half of pregnancy contributes to hepatic glucose intolerance through a mouse model. Methods: By creating a GDM mouse model, we tested glucose and insulin tolerance of offspring by intraperitoneal glucose tolerance test (IPGTT), insulin tolerance test (ITT), and pyruvate tolerance test (PTT). In addition, we checked the expression of genes IGF2/H19, FoxO1, and DNMTs in the mouse liver by RT-qPCR. Pyrosequencing was used to detect the methylation status on IGF2/H19 differentially methylated regions (DMRs). Results: We found that the first generation of GDM offspring (GDM-F1) exhibited impaired glucose tolerance (IGT) and insulin resistance, with males being disproportionately affected. In addition, the expression of imprinted genes IGF2 and H19 was downregulated in the livers of male mice Conclusion: Our results demonstrated that the intrauterine hyperinsulinemia environment has increased hepatic FoxO1 levels and subsequently increased expression of DNMT3A and epigenetic alterations on IGF2/H19 DMRs. These findings provide potential molecular mechanisms responsible for glucose intolerance and insulin resistance in the first male generation of GDM mice.

Indexed as

Diabetes, GestationalDiabetes Mellitus, Type 2Glucose IntoleranceInsulin ResistanceAdultAnimalsEpigenesis, GeneticFemaleForkhead Box Protein O1HumansInsulinInsulin-Like Growth Factor IILiverMaleMicePregnancyForkhead Box Protein O1FOXO1 protein, humanFoxo1 protein, mouseIGF2 protein, humanInsulinInsulin-Like Growth Factor IIDNA methylationepigenetic regulationfetal-origin diseasesgestational diabetes mellitus (GDM)insulin resistance

Identifiers

PMID35432202
PMCPMC9011096
OpenAlexW4221106963

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.