Evidence map›Paper›PMID 33628838›Full record

ArticleJournal of diabetes research2021

Serum Metabolites as an Indicator of Developing Gestational Diabetes Mellitus Later in the Pregnancy: A Prospective Cohort of a Chinese Population.

Mengyuan Tian, Shujuan Ma, Yiping You, Sisi Long, Jiayue Zhang, Chuhao Guo, Xiaolei Wang, Hongzhuan Tan

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.5field-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

20 citing papers in PubMed, 35 citations in OpenAlex.

  1. Coumarins in hypertension management: from vascular signaling pathways to clinical perspectives.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Review
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  6. Gestational age and models for predicting gestational diabetes mellitus.Metabolomics : Official journal of the Metabolomic Society · 2025
    Observational
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  11. 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

8 authors at 3 institutions in 1 country.

Mengyuan Tian *Xiangya School of Public Health, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-5416-3046
Shujuan Ma *Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, China.ORCID https://orcid.org/0000-0002-7858-067X
Yiping YouDepartment of Obstetrics, Hunan Provincial Maternal and Child Health Hospital, Changsha, China.
Sisi LongXiangya School of Public Health, Central South University, Changsha, China.
Jiayue ZhangXiangya School of Public Health, Central South University, Changsha, China.
Chuhao GuoXiangya School of Public Health, Central South University, Changsha, China.
Xiaolei WangXiangya School of Public Health, Central South University, Changsha, China.
Hongzhuan TanXiangya School of Public Health, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-4292-5947
Central South University · CNHunan Provincial Maternal and Child Health Hospital · CNReproductive & Genetic Hospital CITIC-Xiangya · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGestational diabetes mellitus (GDM) is a common metabolic disorder with onset during pregnancy. However, the etiology and pathogenesis of GDM have not been fully elucidated. In this study, we used a metabolomics approach to investigate the relationship between maternal serum metabolites and GDM in early pregnancy.

methodsA nested case-control study was performed. To establish an early pregnancy cohort, pregnant women in early pregnancy (10-13

resultsA total of 44 differential metabolites were identified between GDM cases and healthy controls during early pregnancy. Of these, 26 significant metabolites were obtained in early pregnancy after false discovery rate (FDR < 0.1) correction. In the GDM group, the levels of L-pyroglutamic acid, L-glutamic acid, phenylacetic acid, pantothenic acid, and xanthine were significantly higher and the levels of 1,5-anhydro-D-glucitol, calcitriol, and 4-oxoproline were significantly lower than those in the control group. These metabolites were involved in multiple metabolic pathways, including those for amino acid, carbohydrate, lipid, energy, nucleotide, cofactor, and vitamin metabolism.

conclusionsWe identified significant differentially expressed metabolites associated with the risk of GDM, providing insight into the mechanisms underlying GDM in early pregnancy and candidate predictive markers.

Indexed as

Energy MetabolismMetabolomeAdultBiomarkersCase-Control StudiesChinaChromatography, High Pressure LiquidDiabetes, GestationalFemaleHumansMass SpectrometryMetabolomicsPredictive Value of TestsPregnancyPregnancy Trimester, FirstProspective StudiesBiomarkers

Identifiers

PMID33628838
PMCPMC7884125
OpenAlexW3127529029

What Socratic holds

Textmetadata
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 Socratic graph.