Evidence map›Paper›PMID 33046083›Full record

ArticleBMC medicine2020

Postpartum plasma metabolomic profile among women with preeclampsia and preterm delivery: implications for long-term health.

Xiumei Hong, Boyang Zhang, Liming Liang, Yan Zhang, Yuelong Ji, Guoying Wang, Hongkai Ji, Clary B Clish, Irina Burd, Colleen Pearson and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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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

13 authors at 5 institutions in 1 country.

Xiumei HongCenter on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205-2179, USA. xhong3@jhu.edu.ORCID 0000-0003-3992-1918
Boyang ZhangDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205, USA.
Liming LiangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Yan ZhangDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205, USA.
Yuelong JiCenter on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205-2179, USA.
Guoying WangCenter on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205-2179, USA.
Hongkai JiDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205, USA.
Clary B ClishBroad Institute of MIT and Harvard University, Cambridge, MA, USA.
Irina BurdIntegrated Research Center for Fetal Medicine, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
Colleen PearsonDepartment of Pediatrics, Boston University School of Medicine and Boston Medical Center, Boston, MA, 02118, USA.
Barry ZuckermanDepartment of Pediatrics, Boston University School of Medicine and Boston Medical Center, Boston, MA, 02118, USA.
Frank B HuDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Xiaobin WangCenter on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe St, Baltimore, MD, 21205-2179, USA.
Johns Hopkins University · USBoston University · USBrigham and Women's Hospital · USBroad Institute · USHarvard University · US

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI CORKEY, BARBARA E. · 1992 to 2021
$25.0M
Preterm Birth, Maternal and Cord Blood Metabolome, and Child Metabolic RiskR01HD041702 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI Frank B Hu, XIAOBIN WANG · 2001 to 2026
$11.1M
Research Infrastructure for the Hopkins Population CenterR24HD042854 · NICHD · JOHNS HOPKINS UNIVERSITY · PI CHERLIN, ANDREW J · 2003 to 2017
$5.1M
Boston University Clinical and Translational Science Institute - U ProgramU54TR001012 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CENTER, DAVID M. · 2014 to 2014
$3.9M
Early Life Determinants of Obesity in U.S. Urban Low Income Minority Birth CohortR01HD086013 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y, WANG, XIAOBIN · 2016 to 2020
$3.3M
Inter-generational Link of Cardio-Metabolic Risk: Integrate Multi-OMICs with Birth CohortR01HD098232 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LIANG, LIMING, WANG, XIAOBIN · 2019 to 2022
$2.7M
Post Genome-Wide Association Study of Food AllergyU01AI090727 · NIAID · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI WANG, XIAOBIN · 2010 to 2014
$2.3M
Maternal Exposure to Low Level Mercury, Metabolome, and Child Cardiometabolic Risk in Multi-Ethnic Prospective Birth CohortsR01ES031272 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI WANG, GUOYING, WANG, XIAOBIN · 2020 to 2024
$1.2M
Molecular Epidemiology of Preterm BirthR21ES011666 · NIEHS · CHILDREN'S MEMORIAL HOSPITAL (CHICAGO) · PI WANG, XIAOBIN · 2002 to 2004
$562k
Maternal and Cord Blood Metabolome, Infant Feeding, and Development of Food Allergy in a Prospective Birth CohortR21AI154233 · NIAID · JOHNS HOPKINS UNIVERSITY · PI HONG, XIUMEI · 2020 to 2021
$450k
Establishing Precursors of Food Allergy in NewbornsR21AI079872 · NIAID · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI WANG, XIAOBIN · 2008 to 2009
$447k
Epigenome-wide Association Study of Preterm BirthR21HD066471 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI WANG, XIAOBIN · 2010 to 2011
$354k
HRSA HHS UJ2MC31074March of Dimes Foundation 20-FY02-56NCATS NIH HHS U54 TR001012NIAID NIH HHS R21 AI079872NIAID NIH HHS R21 AI154233NIAID NIH HHS U01 AI090727NICHD NIH HHS R01 HD041702NICHD NIH HHS R01 HD086013NICHD NIH HHS R01 HD098232NICHD NIH HHS R03 HD096136NICHD NIH HHS R21 HD066471NICHD NIH HHS R24 HD042854NIDDK NIH HHS P30 DK046200NIEHS NIH HHS R01 ES031272NIEHS NIH HHS R21 ES011666NIEHS NIH HHS R40MC27443
6 · The paper itself

Abstract

backgroundPreeclampsia and preterm delivery (PTD) are believed to affect women's long-term health including cardiovascular disease (CVD), but the biological underpinnings are largely unknown. We aimed to test whether maternal postpartum metabolomic profiles, especially CVD-related metabolites, varied according to PTD subtypes with and without preeclampsia, in a US urban, low-income multi-ethnic population.

methodsThis study, from the Boston Birth Cohort, included 980 women with term delivery, 79 with medically indicated PTD (mPTD) and preeclampsia, 52 with mPTD only, and 219 with spontaneous PTD (sPTD). Metabolomic profiling in postpartum plasma was conducted by liquid chromatography-mass spectrometry. Linear regression models were used to assess the associations of each metabolite with mPTD with preeclampsia, mPTD only, and sPTD, respectively, adjusting for pertinent covariates. Weighted gene coexpression network analysis was applied to investigate interconnected metabolites associated with the PTD/preeclampsia subgroups. Bonferroni correction was applied to account for multiple testing.

resultsA total of 380 known metabolites were analyzed. Compared to term controls, women with mPTD and preeclampsia showed a significant increase in 36 metabolites, mainly representing acylcarnitines and multiple classes of lipids (diacylglycerols, triacylglycerols, phosphocholines, and lysophosphocholines), as well as a decrease in 11 metabolites including nucleotides, steroids, and cholesteryl esters (CEs) (P < 1.3 × 10

conclusionIn this sample of US high-risk women, PTD/preeclampsia subgroups each showed some unique and shared associations with maternal postpartum plasma metabolites, including those known to be predictors of future CVD. These findings, if validated, may provide new insight into metabolomic alterations underlying clinically observed PTD/preeclampsia subgroups and implications for women's future cardiometabolic health.

Indexed as

AdultFemaleHumansMetabolomicsPostpartum PeriodPre-EclampsiaPregnancyPremature BirthRisk FactorsMedically indicated preterm deliveryMetabolomePostpartumPreeclampsiaPreterm deliverySpontaneous preterm delivery

Identifiers

PMID33046083
PMCPMC7552364
OpenAlexW3092390031

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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.