Evidence map›Paper›PMID 34739593›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2021

Potential biomarkers identified in plasma of patients with gestational diabetes mellitus.

Huajie Zhang, Yuxi Zhao, Danqing Zhao, Xinqian Chen, Naseer Ullah Khan, Xukun Liu, Qihong Zheng, Yi Liang, Yuhua Zhu, Javed Iqbal and 2 more

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 21 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

12 authors at 2 institutions in 1 country.

Huajie ZhangCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Yuxi ZhaoCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Danqing ZhaoDepartment of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, People's Republic of China.
Xinqian ChenCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Naseer Ullah KhanCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Xukun LiuCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Qihong ZhengCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Yi LiangDepartment of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, People's Republic of China.
Yuhua ZhuDepartment of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, People's Republic of China.
Javed IqbalCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Jing LinCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China.
Liming ShenCollege of Life Science and Oceanography, Shenzhen University, Shenzhen, 518071, People's Republic of China. slm@szu.edu.cn.ORCID 0000-0003-0074-8556
Shenzhen University · CNGuiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGestational diabetes mellitus (GDM) is a common complication during pregnancy. Looking for reliable diagnostic markers for early diagnosis can reduce the impact of the disease on the fetus

objectiveThe present study is designed to find plasma metabolites that can be used as potential biomarkers for GDM, and to clarify GDM-related mechanisms

methodsBy non-target metabolomics analysis, compared with their respective controls, the plasma metabolites of GDM pregnant women at 12-16 weeks and 24-28 weeks of pregnancy were analyzed. Multiple reaction monitoring (MRM) analysis was performed to verify the potential marker

resultsOne hundred and seventy-two (172) and 478 metabolites were identified as differential metabolites in the plasma of GDM pregnant women at 12-16 weeks and 24-28 weeks of pregnancy, respectively. Among these, 40 metabolites were overlapped. Most of them are associated with the mechanism of diabetes, and related to short-term and long-term complications in the perinatal period. Among them, 7 and 10 differential metabolites may serve as potential biomarkers at the 12-16 weeks and 24-28 weeks of pregnancy, respectively. By MRM analysis, compared with controls, increased levels of 17(S)-HDoHE and sebacic acid may serve as early prediction biomarkers of GDM. At 24-28 weeks of pregnancy, elevated levels of 17(S)-HDoHE and L-Serine may be used as auxiliary diagnostic markers for GDM

conclusionAbnormal amino acid metabolism and lipid metabolism in patients with GDM may be related to GDM pathogenesis. Several differential metabolites identified in this study may serve as potential biomarkers for GDM prediction and diagnosis.

Indexed as

Diabetes, GestationalBiomarkersFemaleHumansLipid MetabolismMetabolomicsPregnancyPregnant PeopleBiomarkersBiomarkersGestational diabetes mellitusMechanismMetabolic pathwaysMetabolomics

Identifiers

PMID34739593
OpenAlexW3210089045

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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.