Evidence map›Paper›PMID 29670470›Full record

ArticleMediators of inflammation2018

Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results.

Barbara Lizewska, Joanna Teul, Pawel Kuc, Adam Lemancewicz, Karol Charkiewicz, Joanna Goscik, Marian Kacerovsky, Ramkumar Menon, Wojciech Miltyk, Piotr Laudanski

Abstract read
In one paragraph

Article in Mediators of inflammation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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

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

  1. Pooled it
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  4. Review
  5. Observational
  6. Article
  7. Review
  8. Metabolomic profiling of preterm birth in pregnant women living with HIV.Metabolomics : Official journal of the Metabolomic Society · 2023
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  12. Review
  13. Article
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  16. LC-QTOF-MS andPathogens (Basel, Switzerland) · 2020
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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

10 authors.

Barbara LizewskaDepartment of Perinatology, Medical University of Bialystok, Bialystok, Poland.
Joanna TeulDepartment of Pharmaceutical Analysis, Medical University of Bialystok, Bialystok, Poland.
Pawel KucDepartment of Perinatology, Medical University of Bialystok, Bialystok, Poland.
Adam LemancewiczDepartment of Perinatology, Medical University of Bialystok, Bialystok, Poland.
Karol CharkiewiczDepartment of Perinatology, Medical University of Bialystok, Bialystok, Poland.
Joanna GoscikFaculty of Computer Science, Bialystok University of Technology, Bialystok, Poland.
Marian KacerovskyDepartment of Obstetrics and Gynecology, Faculty of Medicine Hradec Kralove, Charles University in Prague, Hradec Kralove, Czech Republic.ORCID 0000-0001-9858-7900
Ramkumar MenonDepartment of Obstetrics & Gynecology and Department of Microbiology, The University of Texas Medical Branch, Galveston, TX, USA.ORCID 0000-0001-9213-6105
Wojciech MiltykDepartment of Pharmaceutical Analysis, Medical University of Bialystok, Bialystok, Poland.
Piotr LaudanskiDepartment of Perinatology, Medical University of Bialystok, Bialystok, Poland.ORCID 0000-0001-8955-8198

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo profile maternal plasma metabolome in spontaneous preterm birth.

methodIn this retrospective case-control study, we have examined plasma of patient with preterm birth (between 22 and 36 weeks of pregnancy (

resultsWe found 168 differentially expressed metabolites that were significantly distinct between study groups. We determined 51 metabolites using publicly available databases that could be subdivided into one of the five groups: amino acids, fatty acids, lipids, hormones, and bile acids. PLS-DA models, verified by SVM classification accuracy, differentiated preterm birth and term delivery groups.

conclusionsMaternal plasma metabolites are different between term and preterm parturitions. Part of them may be related with preterm labor, while others may be affected by gestational age or the beginning of labor. Metabolite profile can classify preterm or term delivery groups raising the potential of metabolome as a biomarker to identify high-risk pregnancies. Metabolomic studies are also a tool to detect individual compounds that may be further tested in targeted researches.

Indexed as

AdultCase-Control StudiesFemaleGestational AgeHumansMultivariate AnalysisObstetric Labor, PrematurePregnancyPremature BirthRetrospective StudiesYoung Adult

Identifiers

PMID29670470
PMCPMC5833472

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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.