Evidence map›Paper›PMID 30662903›Full record

ReviewBioMed research international2018

Metabolomics of Pregnancy Complications: Emerging Application of Maternal Hair.

Thibaut D J Delplancke, Yue Wu, Ting-Li Han, Lingga R Joncer, Hongbo Qi, Chao Tong, Philip N Baker

Abstract readReview
In one paragraph

Review in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
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.

Thibaut D J DelplanckeDepartment of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.ORCID 0000-0003-3118-3850
Yue WuDepartment of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Ting-Li HanDepartment of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Lingga R JoncerInternational Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China.
Hongbo QiDepartment of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Chao TongDepartment of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.ORCID 0000-0003-0828-2674
Philip N BakerInternational Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the study of metabolomics has begun to receive increasing international attention, especially as it pertains to medical research. This is due in part to the potential for discovery of new biomarkers in the metabolome and to a new understanding of the "exposome", which refers to the endogenous and exogenous compounds that reflect external exposures. Consequently, metabolomics research into pregnancy-related issues has increased. Biomarkers discovered through metabolomics may shed some light on the etiology of certain pregnancy-related complications and their adverse effects on future maternal health and infant development and improve current clinical management. The discoveries and methods used in these studies will be compiled and summarized within the following paper. A further focus of this paper is the use of hair as a biological sample, which is gaining increasing attention across diverse fields due to its noninvasive sampling method and the metabolome stability. Its significance in exposome studies will be considered in this review, as well as the potential to associate exposures with adverse pregnancy outcomes. Currently, hair has been used in only two metabolomics studies relating to fetal growth restriction (FGR) and gestational diabetes mellitus (GDM).

Indexed as

BiomarkersFemaleHairHumansMetabolomeMetabolomicsPregnancyPregnancy ComplicationsPregnancy OutcomeBiomarkers

Identifiers

PMID30662903
PMCPMC6312607

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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.