Evidence map›Paper›PMID 32797061›Full record

ArticlePLoS medicine2020

Longitudinal profiles of plasma eicosanoids during pregnancy and size for gestational age at delivery: A nested case-control study.

Barrett M Welch, Alexander P Keil, Thomas J van 't Erve, Leesa J Deterding, Jason G Williams, Fred B Lih, David E Cantonwine, Thomas F McElrath, Kelly K Ferguson

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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  18. Genes · 2023
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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 at 3 institutions in 1 country.

Barrett M WelchEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America.ORCID 0000-0002-1304-2272
Alexander P KeilDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-0955-6107
Thomas J van 't ErveEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America.
Leesa J DeterdingMass Spectrometry Research and Support Group, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America.
Jason G WilliamsMass Spectrometry Research and Support Group, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America.
Fred B LihMass Spectrometry Research and Support Group, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America.ORCID 0000-0002-2260-816X
David E CantonwineDivision of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-3706-9584
Thomas F McElrathDivision of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Kelly K FergusonEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America.ORCID 0000-0001-8467-3250
Triangle · USBrigham and Women's Hospital · USUniversity of North Carolina at Chapel Hill · US

Funding

LIFECODES pregnancy cohortZIAES103321 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI FERGUSON, KELLY · 2016 to 2025
$6.1M
Intramural NIH HHS ZIA ES103321
6 · The paper itself

Abstract

backgroundInflammation during pregnancy is hypothesized to influence fetal growth. Eicosanoids, an important class of lipid mediators derived from polyunsaturated fatty acids, can act as both direct influences and biomarkers of inflammation through a variety of biological pathways. However, quantifying these distinct inflammatory pathways has proven difficult. We aimed to characterize a comprehensive panel of plasma eicosanoids longitudinally across gestation in pregnant women and to determine whether levels differed by infant size at delivery. METHODS AND

findingsOur data come from a case-control study of 90 pregnant women nested within the LIFECODES prospective birth cohort study conducted at Brigham and Women's Hospital in Boston, Massachusetts. This study included 31 women who delivered small for gestational age (SGA) babies (SGA, ≤10th percentile), 28 who delivered large for gestational age (LGA) babies (≥90th percentile), and 31 who delivered appropriate for gestational age (AGA) babies (controls, >10th to <90th percentile). All deliveries occurred between 2010 and 2017. Most participants were in their early 30s (median age: 33 years), of white (60%) or black (20%) race/ethnicity, and of normal pre-pregnancy BMI (median BMI: 23.5 kg/m2). Women provided non-fasting plasma samples during 3 prenatal study visits (at median 11, 25, and 35 weeks gestation) and were analyzed for a panel of eicosanoids. Eicosanoids were grouped by biosynthetic pathway, defined by (1) the fatty acid precursor, including linoleic acid (LA), arachidonic acid (AA), docosahexaenoic acid (DHA), or eicosapentaenoic acid (EPA), and (2) the enzyme group, including cyclooxygenase (COX), lipoxygenase (LOX), or cytochrome P450 (CYP). Additionally, the concentrations of the 4 fatty acids (LA, AA, DHA, and EPA) were measured in maternal plasma. Analytes represent lipids from non-esterified plasma. We examined correlations among eicosanoids and trajectories across pregnancy. Differences in longitudinal concentrations between case groups were examined using Bayesian linear mixed effects models, which included participant-specific random intercepts and penalized splines on gestational age. Results showed maternal plasma levels of eicosanoids and fatty acids generally followed U-shaped curve patterns across gestation. Bayesian models showed that associations between eicosanoids and case status varied by biosynthetic pathway. Eicosanoids derived from AA via the CYP and LOX biosynthetic pathways were positively associated with SGA. The adjusted mean concentration of 12-HETE, a LOX pathway product, was 56.2% higher (95% credible interval 6.6%, 119.1%) among SGA cases compared to AGA controls. Eicosanoid associations with LGA were mostly null, but negative associations were observed with eicosanoids derived from AA by LOX enzymes. The fatty acid precursors had estimated mean concentrations 41%-97% higher among SGA cases and 33%-39% lower among LGA cases compared to controls. Primary limitations of the study included the inability to explore the potential periods of susceptibility of eicosanoids on infant size due to limited sample size, along with the use of infant size at delivery instead of longitudinal ultrasound measures to estimate fetal growth.

conclusionsIn this nested case-control study, we found that eicosanoids and fatty acids systematically change in maternal plasma over pregnancy. Eicosanoids from specific inflammation-related pathways were higher in mothers of SGA cases and mostly similar in mothers of LGA cases compared to controls. These findings can provide deeper insight into etiologic mechanisms of abnormal fetal growth outcomes.

Indexed as

Gestational AgeAdultBiomarkersBirth WeightCase-Control StudiesCohort StudiesEicosanoidsFemaleHumansInfant, NewbornInfant, Small for Gestational AgeLongitudinal StudiesPregnancyProspective StudiesBiomarkersEicosanoids

Identifiers

PMID32797061
PMCPMC7428021
OpenAlexW3049263709

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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.