Evidence map›Paper›PMID 35166340›Full record

ArticleGigaScience2022

Maternal plasma lipids are involved in the pathogenesis of preterm birth.

Yile Chen, Bing He, Yu Liu, Max T Aung, Zaira Rosario-Pabón, Carmen M Vélez-Vega, Akram Alshawabkeh, José F Cordero, John D Meeker, Lana X Garmire

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

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  19. Human Plasma Proteome During Normal Pregnancy.Journal of proteome research · 2022
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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 at 5 institutions in 2 countries.

Yile ChenDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA.
Bing HeDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA.
Yu LiuDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA.
Max T AungProgram on Reproductive Health and the Environment, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, School of Medicine, San Francisco, CA 94158, USA.
Zaira Rosario-PabónUniversity of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico 365067, Spain.
Carmen M Vélez-VegaUniversity of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico 365067, Spain.
Akram AlshawabkehCollege of Engineering, Northeastern University, Boston, MA 02115, USA.
José F CorderoDepartment of Epidemiology and Biostatistics, University of Georgia, Athens, GA 30602, USA.
John D MeekerDepartment of Environmental and Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Lana X GarmireDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA.ORCID 0000-0002-4654-2126
University of Michigan · USUniversity of Puerto Rico, Medical Sciences Campus · PRNortheastern University · USUniversity of California, San Francisco · USUniversity of Georgia · US

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
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RANDY J SEELEY · 2010 to 2026
$20.3M
National Metabolomics Data Repository - nextgen Metabolomics WorkbenchU2CDK119886 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2018 to 2021
$12.7M
Toxicogenomics-based Mechanistic Multimedia Exposure Assessment and Child DevelopmentP50ES026049 · NIEHS · NORTHEASTERN UNIVERSITY · PI CORDERO, JOSE F · 2015 to 2018
$3.6M
An Integrative Omics Approach to Identify Biomarkers Related to Preeclampsia and Breast Cancer RisksR01HD084633 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2020
$3.0M
Cancer precision medicine through spatially informative single cell image and transcriptomics data analysisR01LM012373 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2024
$2.4M
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
An Integrative Bioinformatics Approach to Study Single Cancer Cell HeterogeneityK01ES025434 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2014 to 2018
$905k
NICHD NIH HHS R01 HD084633NIDDK NIH HHS P30 DK089503NIDDK NIH HHS U2C DK119886NIEHS NIH HHS K01 ES025434NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P42 ES017198NIEHS NIH HHS P50 ES026049NIEHS NIH HHS R01 ES032203NIH HHS UH3 OD023251NLM NIH HHS R01 LM012373
6 · The paper itself

Abstract

backgroundPreterm birth is defined by the onset of labor at a gestational age shorter than 37 weeks, and it can lead to premature birth and impose a threat to newborns' health. The Puerto Rico PROTECT cohort is a well-characterized prospective birth cohort that was designed to investigate environmental and social contributors to preterm birth in Puerto Rico, where preterm birth rates have been elevated in recent decades. To elucidate possible relationships between metabolites and preterm birth in this cohort, we conducted a nested case-control study to conduct untargeted metabolomic characterization of maternal plasma of 31 women who experienced preterm birth and 69 controls who underwent full-term labor at 24-28 gestational weeks.

resultsA total of 333 metabolites were identified and annotated with liquid chromatography/mass spectrometry. Subsequent weighted gene correlation network analysis shows that the fatty acid and carene-enriched module has a significant positive association (P = 8e-04, FDR = 0.006) with preterm birth. After controlling for potential clinical confounders, a total of 38 metabolites demonstrated significant changes uniquely associated with preterm birth, where 17 of them were preterm biomarkers. Among 7 machine-learning classifiers, the application of random forest achieved a highly accurate and specific prediction (AUC = 0.92) for preterm birth in testing data, demonstrating their strong potential as biomarkers for preterm births. The 17 preterm biomarkers are involved in cell signaling, lipid metabolism, and lipid peroxidation functions. Additional modeling using only the 19 spontaneous preterm births (sPTB) and controls identifies 16 sPTB markers, with an AUC of 0.89 in testing data. Half of the sPTB overlap with those markers for preterm births. Further causality analysis infers that suberic acid upregulates several fatty acids to promote preterm birth.

conclusionsAltogether, this study demonstrates the involvement of lipids, particularly fatty acids, in the pathogenesis of preterm birth.

Indexed as

Premature BirthCase-Control StudiesFemaleGestational AgeHumansInfantInfant, NewbornLipidsPregnancyProspective StudiesLipidsbiomarkersfatty acidlipidmetabolic pathwaymetabolomicsnetworkpreterm

Identifiers

PMID35166340
PMCPMC8847704
OpenAlexW4226265841

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.