Evidence map›Paper›PMID 24721882›Full record

ArticleReproductive biology and endocrinology : RB&E2014

Maternal obesity and diabetes may cause DNA methylation alteration in the spermatozoa of offspring in mice.

Zhao-Jia Ge, Qiu-Xia Liang, Yi Hou, Zhi-Ming Han, Heide Schatten, Qing-Yuan Sun, Cui-Lian Zhang

Open access · goldAbstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
  2. Methods for Investigating the Sperm Epigenome.Advances in experimental medicine and biology · 2026
    Review
  3. Review
  4. Article
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  8. Article
  9. Epigenetics of Male Infertility: The Role of DNA Methylation.Frontiers in cell and developmental biology · 2021
    Review
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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

7 authors at 4 institutions in 2 countries.

Zhao-Jia Ge
Qiu-Xia Liang
Yi Hou
Zhi-Ming Han
Heide Schatten
Qing-Yuan Sun
Cui-Lian ZhangReproductive Medicine Center, Henan Provincial People's Hospital, Zhengzhou 450003, Henan Province, P,R, China. zcl6086@gmail.com.
Chinese Academy of Sciences · CNInstitute of Zoology · CNUniversity of Missouri · USZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adverse effects on offspring of diabetic and/or obese mothers can be passed to the next generation. However, the mechanisms behind this are still unclear. Epigenetics may play a key role during this process.

methodsTo confirm the hypothesis, we investigated the DNA methylation of several imprinted genes in spermatozoa of offspring from diabetic and/or obese mothers utilizing streptozotocin (STZ)- and high-fat-diet (HFD)-induced mouse models.

resultsWe found that the DNA methylation of Peg3 was significantly increased in spermatozoa of offspring of obese mothers compared to that in spermatozoa of offspring of normal mothers. The DNA methylation of H19 was significantly higher in spermatozoa of offspring of diabetic mothers than that in spermatozoa of offspring of non-diabetic mothers.

conclusionsThese results indicate that pre-gestational diabetes and/or obesity can alter DNA methylation in offspring spermatozoa.

Indexed as

AnimalsDiabetes Mellitus, ExperimentalDNA MethylationFemaleMaleMaternal WelfareMiceObesityPregnancyPregnancy ComplicationsPrenatal Exposure Delayed EffectsRandom AllocationSpermatozoa

Identifiers

PMID24721882
PMCPMC3984639
OpenAlexW2167641324

What OpenQuestion holds

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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.