Evidence map›Paper›PMID 29311683›Full record

ArticleScientific reports2018

Analysis of sequential hair segments reflects changes in the metabolome across the trimesters of pregnancy.

Thibaut D J Delplancke, Jamie V de Seymour, Chao Tong, Karolina Sulek, Yinyin Xia, Hua Zhang, Ting-Li Han, Philip N Baker

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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
–field-weighted citation impact
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.

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  9. Segmental hair metabolomics analysis in pregnant women with pregnancy complications.Metabolomics : Official journal of the Metabolomic Society · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Thibaut D J DelplanckeDepartment of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jamie V de SeymourLiggins Institute, University of Auckland, Auckland, New Zealand.
Chao TongDepartment of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Karolina SulekThe Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej, 3b, 6.6.24, Copenhagen, Denmark.
Yinyin XiaDepartment of Occupational and Environmental Hygiene, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Hua ZhangDepartment of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ting-Li HanDepartment of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. t.han@auckland.ac.nz.
Philip N BakerDepartment of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hair metabolome has been recognized as a valuable source of information in pregnancy research, as it provides stable metabolite information that could assist with studying biomarkers or metabolic mechanisms of pregnancy and its complications. We tested the hypothesis that hair segments could be used to reflect a metabolite profile containing information from both endogenous and exogenous compounds accumulated during the nine months of pregnancy. Segments of hair samples corresponding to the trimesters were collected from 175 pregnant women in New Zealand. The hair samples were analysed using gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry. In healthy pregnancies, 56 hair metabolites were significantly different between the first and second trimesters, while 62 metabolites were different between the first and third trimesters (p < 0.05). Additionally, three metabolites in the second trimester hair samples were significantly different between healthy controls and women who delivered small-for-gestational-age infants (p < 0.05), and ten metabolites in third trimester hair were significantly different between healthy controls and women with gestational diabetes mellitus (p < 0.01). The findings from this pilot study provide improved insight into the changes of the hair metabolome during pregnancy, as well as highlight the potential of the maternal hair metabolome to differentiate pregnancy complications from healthy pregnancies.

Indexed as

MetabolomeMetabolomicsBiomarkersFemaleHairHumansMetabolic Networks and PathwaysNew ZealandPregnancyPregnancy ComplicationsPregnancy TrimestersBiomarkers

Identifiers

PMID29311683
PMCPMC5758601

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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.