Evidence map›Paper›PMID 40997644›Full record

ArticlePlacenta2025

Cardiovascular health in early pregnancy and circulating placental biomarkers.

Andrea C Kozai, Bethany Barone Gibbs, Samuel Parry, Sadiya S Khan, William Grobman, Lisa D Levine, Rebecca McNeil, David M Haas, Jessica L Pippen, Robert M Silver and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Placenta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Andrea C KozaiDepartment of Epidemiology, University of Pittsburgh School of Public Health, United States. Electronic address: andrea.kozai@pitt.edu.
Bethany Barone GibbsDepartment of Epidemiology and Biostatistics, West Virginia University School of Public Health, United States.
Samuel ParryDepartment of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, United States.
Sadiya S KhanDepartment of Medicine Northwestern University Feinberg School of Medicine, United States.
William GrobmanDepartment of Obstetrics and Gynecology, Brown University School of Medicine, United States.
Lisa D LevineDepartment of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, United States.
Rebecca McNeilResearch Triangle International, United States.
David M HaasDepartment of Obstetrics & Gynecology Indiana University School of Medicine, United States.
Jessica L PippenThe MetroHealth System, Case Western Reserve University, United States.
Robert M SilverDepartment of Obstetrics and Gynecology, University of Utah, United States.
Judith H ChungDepartment of Obstetrics and Gynecology, University of California, Irvine, United States.
Janet M CatovDepartment of Epidemiology, University of Pittsburgh School of Public Health, United States.

Funding

Continuation of the NuMoM2b Heart Health StudyU01HL145358 · NHLBI · RESEARCH TRIANGLE INSTITUTE · 2022 to 2025
$14.1M
Cardiovascular Epidemiology Training ProgramT32HL083825 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2022 to 2025
$1.5M
Sedentary Behavior and Cardiovascular Health in Young WomenR01HL158652 · WEST VIRGINIA UNIVERSITY · 2025 to 2025
$543k
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6 · The paper itself

Abstract

backgroundMaternal cardiovascular and placental health are related to pregnancy outcomes, yet how cardiovascular health (CVH) in early pregnancy affects placentation is not well characterized. Our objective was to estimate associations between CVH and concentrations of placental proteins. We hypothesized that more favorable CVH metrics would be associated with more favorable circulating concentrations of pregnancy-associated plasma protein A (PAPP-A), vascular endothelial growth factor (VEGF), placental growth factor (PlGF), soluble FMS-like tyrosine kinase 1 (sFlt-1), and soluble endoglin (sEng) in the 1st and 2nd trimesters.

methodsParticipants from the nuMoM2b prospective cohort with valid biomarker measures were included (n = 2188). Maternal CVH was defined using the American Heart Association's Life's Essential 8 composite score, averaging six components measured in the 1st trimester: body mass index (BMI), blood pressure, physical activity, diet, sleep duration, and smoking. Individual component scores were also evaluated. Linear regression associated scores with 1st and 2nd trimester circulating placental biomarkers. RESULTS AND

conclusionsHigher (more favorable) composite CVH scores were associated with higher PAPP-A (favorable) in both trimesters. In contrast, higher CVH scores were associated with lower VEGF, higher sFlt-1, and higher sEng in the 1st trimester (adverse). Healthier BMI scores demonstrated similar associations as those found with composite CVH. Greater physical activity was associated with more favorable 1st trimester profiles (higher VEGF and lower sFlt-1), but lower 2nd trimester PAPP-A. Composite CVH, potentially driven by BMI and physical activity components, may be an important factor relating to circulating concentrations of placental biomarkers in the first half of pregnancy.

Indexed as

PlacentaAdultBiomarkersEndoglinFemaleHumansPlacenta Growth FactorPlacentationPregnancyPregnancy-Associated Plasma Protein-APregnancy Trimester, FirstProspective StudiesVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-1BiomarkersEndoglinFLT1 protein, humanPGF protein, humanPlacenta Growth FactorPregnancy-Associated Plasma Protein-AVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-1Angiogenic balanceHealth behaviorsLife's essential 8Maternal fetal healthnuMoM2bPlacental growth and development

Identifiers

PMID40997644
PMCPMC13434974

What Socratic holds

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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 Socratic graph.