Evidence map›Paper›PMID 39164729›Full record

ArticleReproductive biology and endocrinology : RB&E2024

Single-cell RNA sequencing reveals the effects of high-fat diet on oocyte and early embryo development in female mice.

Qi Zhu, Feng Li, Hao Wang, Xia Wang, Yu Xiang, Huimin Ding, Honghui Wu, Cen Xu, Linglin Weng, Jieyu Cai and 5 more

Abstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. How Early-Life Programming During Embryogenesis Imprints Cellular Memory.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

15 authors.

Qi Zhu *Reproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Feng Li *Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
Hao Wang *Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
Xia WangReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Yu XiangReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Huimin DingReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Honghui WuReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Cen XuReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Linglin WengReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Jieyu CaiReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Tianyue XuReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Na LiangReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Xiaoqi HongReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Mingrui XueReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Hongshan GeReproductive Medicine Centre, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China. hongshange@njmu.edu.cn.

Funding

National Natural Science Foundation of China 81771586
6 · The paper itself

Abstract

backgroundObesity is a global health issue with detrimental effects on various human organs, including the reproductive system. Observational human data and several lines of animal experimental data suggest that maternal obesity impairs ovarian function and early embryo development, but the precise pathogenesis remains unclear.

methodsWe established a high-fat diet (HFD)-induced obese female mouse model to assess systemic metabolism, ovarian morphology, and oocyte function in mice. For the first time, this study employed single-cell RNA sequencing to explore the altered transcriptomic landscape of preimplantation embryos at different stages in HFD-induced obese mice. Differential gene expression analysis, enrichment analysis and protein-protein interactions network analysis were performed.

resultsHFD-induced obese female mice exhibited impaired glucolipid metabolism and insulin resistance. The ovaries of HFD mice had a reduced total follicle number, an increased proportion of atretic follicles, and irregular granulosa cell arrangement. Furthermore, the maturation rate of embryonic development by in vitro fertilization of oocytes was significantly decreased in HFD mice. Additionally, the transcriptional landscapes of preimplantation embryos at different stages in mice induced by different diets were significantly distinguished. The maternal-to-zygotic transition was also affected by the failure to remove maternal RNAs and to turn off zygotic genome expression.

conclusionsHFD-induced obesity impaired ovarian morphology and oocyte function in female mice and further led to alterations in the transcriptional landscape of preimplantation embryos at different stages of HFD mice.

Indexed as

Diet, High-FatEmbryonic DevelopmentObesityOocytesSequence Analysis, RNASingle-Cell AnalysisAnimalsBlastocystFemaleMiceMice, Inbred C57BLPregnancyEmbryo developmentHigh-fat dietObesitySingle-cell RNA sequencing

Identifiers

PMID39164729
PMCPMC11334609

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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.