Evidence map›Paper›PMID 38868299›Full record

SynthesisFrontiers in cellular and infection microbiology2024

Relationship between gut microbiota and the pathogenesis of gestational diabetes mellitus: a systematic review.

Sheng Ma, Yuping Wang, Xiaoxia Ji, Sunjuan Dong, Shengnan Wang, Shuo Zhang, Feiying Deng, Jingxian Chen, Benwei Lin, Barkat Ali Khan and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Special Issue "Molecular Insight into Gestational Diabetes Mellitus".International journal of molecular sciences · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. 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

12 authors.

Sheng MaAnhui Province Maternity & Child Health Hospital, Hefei, Anhui, China.
Yuping WangSchool of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Xiaoxia JiNursing Department, Shantou Central Hospital, Shantou, Guangdong, China.
Sunjuan DongSchool of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Shengnan WangSchool of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Shuo ZhangShantou University Medical College, Shantou, Guangdong, China.
Feiying DengShantou University Medical College, Shantou, Guangdong, China.
Jingxian ChenShantou University Medical College, Shantou, Guangdong, China.
Benwei LinSchool of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom.
Barkat Ali KhanDrug Delivery and Cosmetic Lab (DDCL), Gomal Center of Pharmaceutical Sciences, Faculty of Pharmacy, Gomal University, Dera Ismail Khan, Pakistan.
Weiting LiuSchool of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.
Kaijian HouSchool of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Gestational diabetes mellitus (GDM) is a form of gestational diabetes mellitus characterized by insulin resistance and abnormal function of pancreatic beta cells. In recent years, genomic association studies have revealed risk and susceptibility genes associated with genetic susceptibility to GDM. However, genetic predisposition cannot explain the rising global incidence of GDM, which may be related to the increased influence of environmental factors, especially the gut microbiome. Studies have shown that gut microbiota is closely related to the occurrence and development of GDM. This paper reviews the relationship between gut microbiota and the pathological mechanism of GDM, in order to better understand the role of gut microbiota in GDM, and to provide a theoretical basis for clinical application of gut microbiota in the treatment of related diseases. Methods: The current research results on the interaction between GDM and gut microbiota were collected and analyzed through literature review. Keywords such as "GDM", "gut microbiota" and "insulin resistance" were used for literature search, and the methodology, findings and potential impact on the pathophysiology of GDM were systematically evaluated. Results: It was found that the composition and diversity of gut microbiota were significantly associated with the occurrence and development of GDM. Specifically, the abundance of certain gut bacteria is associated with an increased risk of GDM, while other changes in the microbiome may be associated with improved insulin sensitivity. In addition, alterations in the gut microbiota may affect blood glucose control through a variety of mechanisms, including the production of short-chain fatty acids, activation of inflammatory pathways, and metabolism of the B vitamin group. Discussion: The results of this paper highlight the importance of gut microbiota in the pathogenesis of GDM. The regulation of the gut microbiota may provide new directions for the treatment of GDM, including improving insulin sensitivity and blood sugar control through the use of probiotics and prebiotics. However, more research is needed to confirm the generality and exact mechanisms of these findings and to explore potential clinical applications of the gut microbiota in the management of gestational diabetes. In addition, future studies should consider the interaction between environmental and genetic factors and how together they affect the risk of GDM.

Indexed as

Diabetes, GestationalGastrointestinal MicrobiomeInsulin ResistanceBacteriaFemaleHumansPregnancyProbioticschronic inflammatory stategestational diabetes mellitusgut microbiotainsulin resistancepathogenesis

Identifiers

PMID38868299
PMCPMC11168118

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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.