Evidence map›Paper›PMID 34302684›Full record

ArticleJournal of endocrinological investigation2022

16S rRNA gene amplicon sequencing of gut microbiota in gestational diabetes mellitus and their correlation with disease risk factors.

J Wei, Y Qing, H Zhou, J Liu, C Qi, J Gao

Open access · hybridAbstract read
In one paragraph

Article in Journal of endocrinological investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Longitudinal associations between PMFrontiers in cellular and infection microbiology · 2026
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  11. A Review of Modulation of Gut Microbiota to Mitigate Gestational Diabetes: Implications for Maternal and Child Health.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

6 authors at 4 institutions in 1 country.

J WeiDepartment of Obstetrics, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China. czweijh@126.com.ORCID http://orcid.org/0000-0002-6518-8468
Y QingBengbu Medical College, Bengbu, China.
H ZhouDepartment of Obstetrics, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China.
J LiuDiabetes Mellitus Research Institute of Changzhou, Changzhou, China.
C QiMedical Research Center, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, China.
J GaoDepartment of Endocrinology and Metabolism, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China. czgaojb@126.com.
Changzhou No.2 People's Hospital · CNBengbu Medical College · CNDalian Medical University · CNLanzhou Institute of Husbandry and Pharmaceutical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough the gut microbiota (GM) are associated with various diseases, their role in gestational diabetes mellitus (GDM) remains uncharacterized. Further study is urgently needed to expose the real relationship between GM and GDM.

methodsWe performed a prospective study in 33 pregnant Chinese individuals [15, GDM; 18, normal glucose tolerance (NGT)] to observe the fecal microbiota by 16S rRNA gene amplicon sequencing at 24-28 weeks of gestational age after a standard 75 g oral glucose tolerance test. Linear regression analysis was employed to assess the relationships between the GM and GDM clinical parameters.

resultsSequencing showed no difference in the microbiota alpha diversity but a significant difference in the beta diversity between the GDM and NGT groups, with the relative abundances of Ruminococcus bromii, Clostridium colinum, and Streptococcus infantis being higher in the GDM group (P < 0.05). The quantitative PCR results validated the putative bacterial markers of R. bromii and S. infantis. Moreover, a strong positive correlation was found between S. infantis and blood glucose levels after adjusting for body mass index (P < 0.05).

conclusionThree abnormally expressed intestinal bacteria (R. bromii, C. colinum, and S. infantis) were identified in GDM patients. S. infantis may confer an increased risk of GDM. Hence, the GM may serve as a potential therapeutic target for GDM.

Indexed as

Diabetes, GestationalAdultBody Mass IndexChinaFecesFemaleGastrointestinal MicrobiomeGestational AgeGlucose Tolerance TestHumansPregnancyPregnancy OutcomeRisk AssessmentRisk FactorsRNA, Ribosomal, 16SSequence Analysis, RNARNA, Ribosomal, 16S16S rRNA gene amplicon sequencingGestational diabetes mellitusGut microbiotaqPCR

Identifiers

PMID34302684
PMCPMC8308075
OpenAlexW3185254518

What OpenQuestion holds

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LicenceCC BY
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.