Evidence map›Paper›PMID 35941695›Full record

ArticleMicrobiome2022

Vertical transmission of the gut microbiota influences glucose metabolism in offspring of mice with hyperglycaemia in pregnancy.

Cunxi Xue, Qinyuan Xie, Chenhong Zhang, Yimeng Hu, Xiaoting Song, Yifan Jia, Xiaoyang Shi, Yiqi Chen, Yalei Liu, Lingyun Zhao and 2 more

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Review
  6. The Double-Edged Sword of Gestational Insulin Resistance: Navigating Maternal Adaptation and Its Risks for Pregnancy and Offspring Health.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
  7. Review
  8. Review
  9. Article
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  11. Gut-X axis.iMeta · 2025
    Review
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  13. Article
  14. Review
  15. Article
  16. 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

12 authors at 3 institutions in 1 country.

Cunxi Xue *Department of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Qinyuan Xie *Department of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Chenhong Zhang *State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Yimeng HuDepartment of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xiaoting SongDepartment of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yifan JiaDepartment of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xiaoyang ShiDepartment of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yiqi ChenDepartment of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yalei LiuDepartment of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Lingyun ZhaoDepartment of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Fenglian HuangDepartment of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Huijuan YuanDepartment of Endocrinology of Henan Provincial People's Hospital, Henan Provincial Key Laboratory of Intestinal Microecology and Diabetes Control, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China. hjyuan@zzu.edu.cn.
Zhengzhou University · CNHenan Provincial People's Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperglycaemia in pregnancy (HIP) is a common metabolic disorder that not only poses risks to maternal health but also associates with an increased risk of diabetes among offspring. Vertical transmission of microbiota may influence the offspring microbiome and subsequent glucose metabolism. However, the mechanism by which maternal gut microbiota may influence glucose metabolism of the offspring remains unclear and whether intervening microbiota vertical transmission could be used as a strategy to prevent diabetes in the offspring of mothers with HIP has not been investigated. So we blocked vertical transmission to investigate its effect on glucose metabolism in the offspring.

resultsWe established a murine HIP model with a high-fat diet (HFD) and investigated the importance of vertical transmission of gut microbiota on the glucose metabolism of offspring via birth and nursing by blocking these events through caesarean section (C-section) and cross-fostering. After weaning, all offspring were fed a normal diet. Based on multi-omics analysis, biochemical and transcriptional assays, we found that the glucometabolic deficits in the mothers were subsequently 'transmitted' to the offspring. Meanwhile, the partial change in mothers' gut microbial community induced by HIP could be transmitted to offspring, supported by the closed clustering of the microbial structure and composition between the offspring and their mothers. Further study showed that the microbiota vertical transmission was blocked by C-section and cross-fostering, which resulted in improved insulin sensitivity and islet function of the offspring of the mothers with HIP. These effects were correlated with changes in the relative abundances of specific bacteria and their metabolites, such as increased relative abundances of Bifidobacterium and short-chain fatty acids. In particular, gut microbial communities of offspring were closely related to those of their foster mothers but not their biological mothers, and the effect of cross-fostering on the offspring's gut microbiota was more profound than that of C-section.

conclusionOur study demonstrates that the gut microbiota transmitted via birth and nursing are important contributors to the glucose metabolism phenotype in offspring. Video Abstract.

Indexed as

Diabetes MellitusGastrointestinal MicrobiomeHyperglycemiaPrenatal Exposure Delayed EffectsAnimalsCesarean SectionDiet, High-FatFemaleGlucoseHumansMicePregnancyGlucoseGlucose metabolismHyperglycaemia in pregnancyMetabolitesMicrobiomeMultiomics analysisVertical transmission

Identifiers

PMID35941695
PMCPMC9361546
OpenAlexW4290705616

What OpenQuestion holds

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LicenceCC BY
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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.