Evidence map›Paper›PMID 33854141›Full record

ArticleScientific reports2021

Maternal lipidomic signatures in relation to spontaneous preterm birth and large-for-gestational age neonates.

Max T Aung, Pahriya Ashrap, Deborah J Watkins, Bhramar Mukherjee, Zaira Rosario, Carmen M Vélez-Vega, Akram N Alshawabkeh, José F Cordero, John D Meeker

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

9 authors.

Max T AungDepartment of Biostatistics, University of Michigan, School of Public Health, Ann Arbor, MI, USA.
Pahriya AshrapDepartment of Environmental Health Sciences, University of Michigan, School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Deborah J WatkinsDepartment of Environmental Health Sciences, University of Michigan, School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Bhramar MukherjeeDepartment of Biostatistics, University of Michigan, School of Public Health, Ann Arbor, MI, USA.
Zaira RosarioUniversity of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico, USA.
Carmen M Vélez-VegaUniversity of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico, USA.
Akram N AlshawabkehCollege of Engineering, Northeastern University, Boston, MA, USA.
José F CorderoDepartment of Epidemiology and Biostatistics, University of Georgia, Athens, GA, USA.
John D MeekerDepartment of Environmental Health Sciences, University of Michigan, School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA. meekerj@umich.edu.

Funding

Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI HARRIS, SEAN M · 2010 to 2024
$38.6M
Environmental Influences on Child Health Outcomes in Puerto Rico (ECHO-PRO)UH3OD023251 · OD · NORTHEASTERN UNIVERSITY · PI Akram N Alshawabkeh · 2018 to 2026
$24.0M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Environmental Influences on Child Health Outcomes in Puerto Rico (ECHO-PRO)UG3OD023251 · OD · NORTHEASTERN UNIVERSITY · PI ALSHAWABKEH, AKRAM N · 2016 to 2024
$13.0M
Toxicogenomics-based Mechanistic Multimedia Exposure Assessment and Child DevelopmentP50ES026049 · NIEHS · NORTHEASTERN UNIVERSITY · PI SUH, HELEN · 2015 to 2018
$3.6M
Pregnancy Exposures to Chemical Mixtures and Later Metabolic Health and Endocrine Function Among Women in the Puerto Rico PROTECT CohortR01ES032203 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARVONEN-GUTIERREZ, CARRIE ANNE, MEEKER, JOHN D. · 2020 to 2025
$2.0M
NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P42 ES017198NIEHS NIH HHS P50 ES026049NIEHS NIH HHS R01 ES032203NIH HHS UG3 OD023251NIH HHS UH3 OD023251
6 · The paper itself

Abstract

Lipidome-wide metabolites may be useful biomarkers of pregnancy outcomes. We sought to characterize maternal lipidomic signatures associated with preterm birth and neonatal anthropometric parameters. Plasma samples were collected 24-28 weeks gestation, and lipidomic profiling was quantified using high-performance liquid chromatography tandem mass spectrometry. Lipid metabolites were analyzed individually and as whole lipid classes and subgroups based on degree of hydrocarbon chain saturation. Associations were estimated using linear and logistic regression. After false discovery adjustment (q < 0.15), four plasmenyl-phosphatidylethanolamines and three free fatty acids associated with increased risk for spontaneous preterm birth. Five phosphatidylinositols, two phosphatidylglycerols, and one phosphatidic acid were associated with large for gestational age neonates. The saturated plasmenyl-phosphatidylethanolamines held the association with increased risk for spontaneous preterm birth. Both the mono- and poly-unsaturated free fatty acids held the association for increased risk for spontaneous preterm birth. Mono- and poly-unsaturated phosphatidylinositols were associated with large for gestational age neonates. Whole lipid classes (plasmenyl-phophatidylcholines and plasmenyl-phosphatidylethanolamines) were associated with increased risk for large for gestational age at delivery. This study provides evidence that finer omics-scale analysis of the maternal lipidome may be more informative biomarkers of pregnancy outcomes compared to whole class level lipid analysis.

Indexed as

Premature BirthAdultChromatography, High Pressure LiquidFemaleGestational AgeHumansInfant, NewbornLinear ModelsLipidomicsLipidsLogistic ModelsMass SpectrometryPlasmalogensPregnancyRisk FactorsYoung Adultcholine plasmalogensLipidsphosphatidal ethanolaminesPlasmalogens

Identifiers

PMID33854141
PMCPMC8046995

What OpenQuestion holds

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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.