Evidence map›Paper›PMID 36499505›Full record

ArticleInternational journal of molecular sciences2022

Associations between Maternal Risk Factors and Intrinsic Placental and Fetal Brain Functional Properties in Congenital Heart Disease.

Vidya Rajagopalan, Vanessa Schmithorst, Alexander El-Ali, William Reynolds, Vincent Lee, Julia Wallace, Jacqueline Weinberg, Jennifer Johnson, Jodie Votava-Smith, Jennifer Adibi and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Long-term survival and complications of Fontan patients: where do we stand?American journal of cardiovascular disease · 2026
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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

11 authors at 3 institutions in 1 country.

Vidya RajagopalanDepartment of Radiology, Children's Hospital Los Angeles, 4650 Sunset Blvd., MS #32, Los Angeles, CA 90027, USA.ORCID 0000-0002-7894-1260
Vanessa SchmithorstPediatric Imaging Research Center, UPMC Children's Hospital of Pittsburgh, 4401 Penn Ave Floor 2, Pittsburgh, PA 15224, USA.
Alexander El-AliDepartment of Radiology, UPMC Children's Hospital of Pittsburgh, 4401 Penn Ave Floor 2, Pittsburgh, PA 15224, USA.
William ReynoldsDepartment of Biomedical Informatics, University of Pittsburgh, 5607 Baum Blvd., Pittsburgh, PA 15206, USA.
Vincent LeeDepartment of Radiology, UPMC Children's Hospital of Pittsburgh, 4401 Penn Ave Floor 2, Pittsburgh, PA 15224, USA.
Julia WallaceDepartment of Radiology, UPMC Children's Hospital of Pittsburgh, 4401 Penn Ave Floor 2, Pittsburgh, PA 15224, USA.
Jacqueline WeinbergDepartment of Cardiology, UPMC Children's Hospital of Pittsburgh, 4401 Penn Ave Floor 3, Pittsburgh, PA 15224, USA.
Jennifer JohnsonDepartment of Cardiology, UPMC Children's Hospital of Pittsburgh, 4401 Penn Ave Floor 3, Pittsburgh, PA 15224, USA.
Jodie Votava-SmithKeck School of Medicine of University of Southern California, 1975 Zonal Ave, Los Angeles, CA 90033, USA.
Jennifer AdibiDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, 300 Halket Street, Pittsburgh, PA 15213, USA.
Ashok PanigrahyPediatric Imaging Research Center, UPMC Children's Hospital of Pittsburgh, 4401 Penn Ave Floor 2, Pittsburgh, PA 15224, USA.ORCID 0000-0003-1966-6681
Children's Hospital of Pittsburgh · USUniversity of Pittsburgh · USUniversity of Southern California · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
The internship in Biomedical Research, Informatics, and Computer Science (iBRIC): Biomedical Informatics and Data Science research experiences for students from Minority Serving InstitutionsT15LM007059 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRY S HOCHHEISER · 1987 to 2026
$23.9M
SVRIII: Brain Connectome and Neurodevelopment OutcomesR01HL128818 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PANIGRAHY, ASHOK · 2015 to 2019
$3.5M
Modeling Cerebral Microbleeds and Striatal Brain Iron in Adult Congenital Heart Disease in Relationship to Differential Genetic Risk for Alzheimer DiseaseR01HL152740 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CESCHIN, RAFAEL C, GURVITZ, MICHELLE · 2020 to 2023
$2.2M
Influence of placental impairments and maternal-fetal environment on neurodevelopmental outcomes in Congenital Heart DiseaseK01HL153942 · NHLBI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI RAJAGOPALAN, VIDYA · 2020 to 2024
$735k
NCATS NIH HHS UL1 TR001855NHLBI NIH HHS K01 HL153942NHLBI NIH HHS R01 HL128818NHLBI NIH HHS R01 HL152740NIH HHS NIH-NHLBI K01HL153942NLM NIH HHS T15 LM007059
6 · The paper itself

Abstract

The relationship between maternal risk factors (MRFs) (particularly pre-gravid obesity, diabetes, and hypertension) and congenital heart disease (CHD) to placental and fetal brain outcomes is poorly understood. Here, we tested the hypothesis that MRF and CHD would be associated with reduced intrinsic placental and fetal brain function using a novel non-invasive technique. Pregnant participants with and without MRF and fetal CHD were prospectively recruited and underwent feto-placental MRI. Using intrinsic properties of blood oxygen level dependent imaging (BOLD) we quantified spatiotemporal variance of placenta and fetal brain. MRFs and CHD were correlated with functional characteristics of the placenta and fetal brain. Co-morbid MRF (hypertension, diabetes, and obesity) reduced spatiotemporal functional variance of placenta and fetal brain (p < 0.05). CHD predicted reduced fetal brain temporal variance compared to non-CHD (p < 0.05). The presence of both MRF and CHD was associated with reduced intrinsic pBOLD temporal variance (p = 0.047). There were no significant interactions of MRFs and CHD status on either temporal or spatial variance of intrinsic brain BOLD. MRF and CHD reduced functional characteristic of placenta and brain in fetuses. MRF modification and management during pregnancy may have the potential to not only provide additional risk stratification but may also improve neurodevelopmental outcomes.

Indexed as

Heart Defects, CongenitalHypertensionBrainFemaleHumansObesityPlacentaPregnancyRisk Factorsfetal brain resting BOLD signalmaternal diabetesmaternal hypertensionplacenta

Identifiers

PMID36499505
PMCPMC9738149
OpenAlexW4311514632

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.