Evidence map›Paper›PMID 39891022›Full record

ArticleNature metabolism2025

Maternal exercise prevents metabolic disorders in offspring mice through SERPINA3C.

Yang Li, Ruo-Ying Li, Jie-Ying Zhu, Min Chen, Wang-Jing Mu, Hong-Yang Luo, Shan Li, Lin-Jing Yan, Meng-Ting Yin, Xin Li and 2 more

Erratum issuedAbstract read
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In one paragraph

Article in Nature metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
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  11. Article
  12. Exercise benefits yourself and your offspring: a mini-review.Frontiers in cell and developmental biology · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Yang LiSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China.ORCID http://orcid.org/0009-0008-7965-3317
Ruo-Ying LiSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China.ORCID http://orcid.org/0009-0000-9204-6353
Jie-Ying ZhuSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China.ORCID http://orcid.org/0009-0008-5943-2920
Min ChenSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China.ORCID http://orcid.org/0009-0000-8956-0028
Wang-Jing MuSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China.ORCID http://orcid.org/0000-0002-7131-0394
Hong-Yang LuoSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China.ORCID http://orcid.org/0000-0001-8657-255X
Shan LiSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China.ORCID http://orcid.org/0009-0009-9481-7022
Lin-Jing YanSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China.ORCID http://orcid.org/0009-0004-1661-7221
Meng-Ting YinSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China.ORCID http://orcid.org/0009-0005-6491-4893
Xin LiSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China.ORCID http://orcid.org/0009-0005-5800-5829
Hu-Min ChenSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China.ORCID http://orcid.org/0009-0004-8825-0027
Liang GuoSchool of Exercise and Health and Collaborative Innovation Center for Sports and Public Health, Shanghai University of Sport, Shanghai, China. guoliang@sus.edu.cn.ORCID http://orcid.org/0000-0001-7353-8336

Funding

National Natural Science Foundation of China (National Science Foundation of China) No.31871435National Natural Science Foundation of China (National Science Foundation of China) No.32070751
6 · The paper itself

Abstract

Maternal exercise can improve the metabolic health of the offspring. However, the molecular mechanisms underlying the beneficial effects of maternal exercise on the offspring remain unclear. Here, we show that maternal exercise during pregnancy alleviates high-fat diet (HFD)-induced adipose inflammation and glucose intolerance in offspring mice, accompanied by upregulation of the adipokine serine protease inhibitor A3C (SERPINA3C) both in maternal adipose tissues and the fetal circulation. Adipose SERPINA3C knockdown impairs, but its overexpression in dams mimics, maternal exercise-mediated metabolic benefits in HFD-fed offspring. Maternal SERPINA3C is transported into the fetal circulation and promotes Krüppel-like factor 4 (Klf4) gene promoter demethylation in fetal preadipocytes to increase KLF4 expression, which inhibits adipose inflammation in HFD-fed offspring mice. The SERPINA3C-cathepsin G-integrin β1 axis activates phosphatidylinositol 3-kinase signalling in preadipocytes. This promotes nuclear translocation of the p110β subunit to generate phosphatidylinositol 3,4,5-trisphosphate (PIP

Indexed as

Metabolic DiseasesPhysical Conditioning, AnimalSerpinsAcute-Phase ProteinsAdipose TissueAnimalsDiet, High-FatFemaleKruppel-Like Factor 4MaleMiceMice, Inbred C57BLPregnancyAcute-Phase ProteinsKlf4 protein, mouseKruppel-Like Factor 4Serpina3n protein, mouseSerpins

Identifiers

PMID39891022

What OpenQuestion holds

Textmetadata
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.