Evidence map›Paper›PMID 40818970›Full record

ArticleNature communications2025

Maternal diet-induced alterations in uterine fluid sncRNAs compromise preimplantation embryo development and offspring metabolic health.

Shijia Pan, Liwen Zhang, Xinai Yang, Lumen Wang, Changze Liu, Jia Zhang, Xuemei Yu, Simin Qiao, Ruoyang Zeng, Yu Qian and 5 more

Abstract read
In one paragraph

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

15 authors.

Shijia Pan *The Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China.
Liwen Zhang *China National Center for Bioinformation and Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Xinai YangThe Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China.
Lumen WangThe Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China.
Changze LiuThe Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China.
Jia ZhangThe Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China.
Xuemei YuThe Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China.
Simin QiaoThe Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China.
Ruoyang ZengThe Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China.
Yu QianThe Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China.
Li TongThe Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China.
Xinxin LiuChina National Center for Bioinformation and Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Junchao ShiChina National Center for Bioinformation and Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China. shijc.lab@gmail.com.ORCID http://orcid.org/0000-0002-1548-5069
Lei YanInstitute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China. yanlei@sdu.edu.cn.ORCID http://orcid.org/0000-0001-6548-1317
Ying ZhangThe Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China. yingzhanglab@gmail.com.ORCID http://orcid.org/0000-0003-4082-5026

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32171110National Natural Science Foundation of China (National Science Foundation of China) 82122027National Natural Science Foundation of China (National Science Foundation of China) 92357306
6 · The paper itself

Abstract

The periconception period is critical for embryo development, pregnancy outcomes, and offspring health. During this stage, oviductal and uterine fluids facilitate embryo-maternal interactions and support early embryonic development. Using PANDORA-seq, we identify a diverse repertoire of small non-coding RNAs in female mouse oviduct fluid and uterine fluid during preimplantation, with tRNA-derived small RNAs and rRNA-derived small RNAs being predominant. Maternal high-fat diet during preimplantation period significantly alters tsRNA and rsRNA expression in oviduct fluid and uterine fluid compared to normal diet, disrupting blastocyst metabolic gene expression. While implantation remained unaffected, these alterations impair mid-gestation embryonic and placental growth, resulting in reduced birth weight and length, as well as metabolic disorders in offspring. Furthermore, transfecting embryos with uterine fluid-derived sncRNAs altered by maternal high-fat diet mimics the in vivo effects. These findings suggest that tsRNAs and rsRNAs in reproductive fluids may reflect maternal metabolic status and transmit dietary information to the early embryo, which might influence pregnancy outcomes and offspring health.

Indexed as

BlastocystBody FluidsDiet, High-FatEmbryonic DevelopmentRNA, Small UntranslatedUterusAnimalsEmbryo ImplantationFemaleGene Expression Regulation, DevelopmentalMiceMice, Inbred C57BLPregnancyRNA, TransferRNA, Small UntranslatedRNA, Transfer

Identifiers

PMID40818970
PMCPMC12357936

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.