Evidence map›Paper›PMID 34752662›Full record

ArticleJournal of clinical laboratory analysis2021

Placental metabolic profiling in gestational diabetes mellitus: An important role of fatty acids.

Yuqi Yang, Zhaoping Pan, Fang Guo, Huihui Wang, Wei Long, Huiyan Wang, Bin Yu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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.

Yuqi YangDepartment of Medical Genetics, Changzhou Maternal and Child Health Care Hospital affiliated with Nanjing Medical University, Changzhou, China.ORCID https://orcid.org/0000-0002-7619-9541
Zhaoping PanDepartment of Obstetrics, Changzhou Maternal and Child Health Care Hospital affiliated with Nanjing Medical University, Changzhou, China.
Fang GuoDepartment of Medical Genetics, Changzhou Maternal and Child Health Care Hospital affiliated with Nanjing Medical University, Changzhou, China.
Huihui WangDepartment of Obstetrics, Changzhou Maternal and Child Health Care Hospital affiliated with Nanjing Medical University, Changzhou, China.
Wei LongDepartment of Medical Genetics, Changzhou Maternal and Child Health Care Hospital affiliated with Nanjing Medical University, Changzhou, China.
Huiyan WangDepartment of Obstetrics, Changzhou Maternal and Child Health Care Hospital affiliated with Nanjing Medical University, Changzhou, China.
Bin YuDepartment of Medical Genetics, Changzhou Maternal and Child Health Care Hospital affiliated with Nanjing Medical University, Changzhou, China.ORCID https://orcid.org/0000-0001-7796-7314
Nanjing Medical University · CN

Funding

Changzhou Key Laboratory of High-tech Research CM20193009
6 · The paper itself

Abstract

aimGestational diabetes mellitus (GDM) is the most common metabolic disorder during pregnancy. Accumulating studies have reported metabolites that are significantly associated with the development of GDM. However, studies on the metabolism of placenta, the most important organ of maternal-fetal energy and material transport, are extremely rare. This study aimed to identify and discuss the relationship between differentially expressed metabolites (DEM) and clinical parameters of the mothers and newborns.

methodsIn this study, metabolites from 63 placenta tissues (32 GDM and 31 normal controls) were assayed by ultra-performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS).

resultsA total of 1297 annotated metabolites were detected, of which 87 significantly different in GDM placenta. Lipids and lipid-like molecules accounted for 62.1% of DEM as they were significantly enriched via the "biosynthesis of unsaturated fatty acids" and "fatty acid biosynthesis" pathways. Linoleic acid and α-linolenic acid appeared to be good biomarkers for the prediction and diagnosis of GDM. In addition, the level of PC(14:0/18:0) was negatively correlated with neonatal weight. 14 metabolites significantly different in male and female offspring, with the most increase in female newborns.

conclusionEven if maternal blood glucose level is well controlled, there are still metabolic abnormalities in GDM. Lipids and lipid-like molecules were the main differential metabolites, especially unsaturated fatty acids.

Indexed as

AdultBirth WeightCase-Control StudiesDiabetes, GestationalFatty AcidsFemaleHumansInfant, NewbornMaleMetabolomicsPlacentaPregnancyFatty Acidsfatty acidsgestational diabetes mellitusmass spectrometrymetabolic profilingplacenta

Identifiers

PMID34752662
PMCPMC8649376
OpenAlexW3212726306

What OpenQuestion holds

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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.