Evidence map›Paper›PMID 41910804›Full record

ArticleBiomechanics and modeling in mechanobiology2026

Multiscale computational modeling of the cardiopulmonary consequences of postnatal hyperoxia with implications for preterm-born children.

Salla M Kim, Filip Jezek, Pim J A Oomen, Gregory P Barton, Feng Gu, Daniel A Beard, Kara N Goss, Mitchel J Colebank, Naomi C Chesler

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

9 authors.

Salla M KimEdwards Lifesciences Foundation Cardiovascular Innovation and Research Center, University of California Irvine, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-5863-612X
Filip JezekDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-0629-7389
Pim J A OomenEdwards Lifesciences Foundation Cardiovascular Innovation and Research Center, University of California Irvine, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-0069-4538
Gregory P BartonDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0001-7471-5488
Feng GuDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0009-0006-8207-678X
Daniel A BeardDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-0974-2353
Kara N GossDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0003-2015-9169
Mitchel J ColebankEdwards Lifesciences Foundation Cardiovascular Innovation and Research Center, University of California Irvine, Irvine, CA, USA. mjcolebank@sc.edu.ORCID http://orcid.org/0000-0002-2294-9124
Naomi C CheslerEdwards Lifesciences Foundation Cardiovascular Innovation and Research Center, University of California Irvine, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-7612-5796

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Institutional Clinical and Translational Science AwardKL2TR000428 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$6.2M
Multiscale Mechanobiology of Right Ventricular FailureR01HL154624 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Anthony J. BAKER, DANIEL A BEARD · 2020 to 2026
$4.9M
NRSA Training CoreTL1TR001415 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI CAIOZZO, VINCENT JAMES, HEAD, ELIZABETH · 2015 to 2023
$4.2M
Multi-Scale Systems Analysis of Metabolic and Mechanical Determinants of Reserve Cardiac Power OutputR01HL173346 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DANIEL A BEARD · 2024 to 2026
$1.8M
NCATS NIH HHS KL2 TR000428NCATS NIH HHS TL1 TR001415NCATS NIH HHS UL1 TR000427NHLBI NIH HHS R01 HL154624NHLBI NIH HHS R01 HL173346University of Wisconsin Clinical and Translational Science Award program, through National Center for Advancing Translational Sciences Grant 4KL2-TR-000428-10
6 · The paper itself

Abstract

Moderate to extreme preterm birth (< 32 weeks gestation) affects cardiopulmonary structure and function and is associated with increased risk of heart failure through adulthood. The rat hyperoxia (Hx) model (term born; postnatal Hx exposure) captures biventricular changes, including at the cell and organ scale, and pulmonary vascular remodeling seen in preterm humans. However, synthesizing these measures across scales and organ systems is challenging. We hypothesized that in silico modeling of biventricular mitochondrial, myofiber, and organ-scale function plus circulatory function could capture key features of cardiopulmonary abnormalities due to preterm birth. Therefore, we calibrated a multiscale model to subject-specific biventricular pressure-volume data previously obtained from Hx rats alongside normoxic (Nx) controls to investigate the abnormalities in cardiopulmonary function at multiple scales in this animal model of human preterm birth. The calibrated model demonstrates excellent agreement with the data and captures the expected pulmonary vascular changes and right ventricular dilation seen in preterm-born children. Our multiscale modeling approach captures cardiopulmonary abnormalities across spatial scales and provides an innovative approach to explore the consequences of preterm birth beyond preclinical experimental data alone. This is a foundational step in understanding the impact of preterm birth on cardiopulmonary disease in childhood as well as adulthood.

Indexed as

Computer SimulationHyperoxiaLungModels, CardiovascularPremature BirthAnimalsAnimals, NewbornFemaleHumansInfant, NewbornInfant, PrematureRatsCardiovascularMultiscale modelingPreterm birthRight ventricleSubject-specific modeling

Identifiers

PMID41910804
PMCPMC13035550

What Socratic 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 Socratic graph.