Evidence map›Paper›PMID 35285096›Full record

ArticleJournal of clinical laboratory analysis2022

Alterations of gut microbiota-derived metabolites in gestational diabetes mellitus and clinical significance.

Yajie Gao, Haimin Chen, Jialin Li, Shuaijun Ren, Zhenglun Yang, Yuping Zhou, Rongrong Xuan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Yajie GaoDepartment of Obstetrics and Gynecology, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0002-0218-7134
Haimin ChenKey Laboratory of Applied Marine Biotechnology of Ministry of Education, Ningbo University, Ningbo, China.
Jialin LiSchool of Medicine, Ningbo University, Ningbo, China.
Shuaijun RenSchool of Medicine, Ningbo University, Ningbo, China.
Zhenglun YangSchool of Medicine, Ningbo University, Ningbo, China.
Yuping ZhouDepartment of Gastroenterology, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0003-0693-4747
Rongrong XuanDepartment of Obstetrics and Gynecology, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.
Ningbo University · CN

Funding

Ningbo Natural Science Foundation Project 2021J239Ningbo Public Welfare Technology Plan Project 2021S101Zhejiang Province Medical and Health Science and Technology Plan Project 2022KY334
6 · The paper itself

Abstract

backgroundThe change in the characteristics of the gut microbiota is linked to gestational diabetes mellitus (GDM). However, whether and how the gut microbiota-derived metabolites change in GDM is uncertain. Here, we aimed to determine associations between the gut microbiota-derived metabolites and GDM.

methodsUsing targeted metabolomics approaches, 7 types of short-chain fatty acids (SCFAs), 38 types of bile acids (BAs), and 5 types of trimethylamine N-oxide (TMAO), and its derivatives of serum samples were obtained from pregnant women with GDM (n = 24), and healthy pregnant controls (HC, n = 28) were detected to identify the metabolic signature of GDM to investigate the potential biomarkers. Moreover, we assessed the associations between gut microbiota-derived metabolites and clinical parameters.

resultsIn our study, the gut microbiota-derived metabolites signatures were significantly different between GDM and HC. Quantitative results showed the levels of isobutyric acid, isovaleric acid, valeric acid, caproic acid, GUDCA, THDCA + TUDCA, and LCA-3S were significantly higher in GDM, but the level of TMAO and its derivatives did not change significantly. Some altered gut microbiota-derived metabolites were significantly correlated with glucose and lipid levels. Receiver-operating characteristic (ROC) analysis of generalized linear models showed that gut microbiota-derived metabolites may be potential biomarkers of GDM.

conclusionThis study highlights gut microbiota-derived metabolites alterations in GDM and correlation of the clinical indicators, which provides a new direction for future studies aiming to novel serum biomarker for early detection or target of drug therapy of GDM.

Indexed as

Diabetes, GestationalGastrointestinal MicrobiomeBiomarkersFemaleGlucoseHumansMetabolomicsPregnancyBiomarkersGlucosebile acidsgestational diabetes mellitusgut microbiota-derived metabolitesshort-chain fatty acidstargeted metabolomicstrimethylamine N-oxide

Identifiers

PMID35285096
PMCPMC8993618
OpenAlexW4220979977

What OpenQuestion holds

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LicenceCC BY
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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.