Evidence map›Paper›PMID 40388465›Full record

ArticlePloS one2025

An anatomically informed computational fluid dynamics modeling approach for quantifying hemodynamics in the developing heart.

Kirsten Giesbrecht, Simone Rossi, Sophie Liu, Shourya Mukherjee, Michael Bressan, Boyce E Griffith

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Kirsten GiesbrechtDepartment of Mathematics, University North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0001-5796-4212
Simone RossiDepartment of Mathematics, University North Carolina, Chapel Hill, North Carolina, United States of America.
Sophie LiuDepartment of Mathematics, University North Carolina, Chapel Hill, North Carolina, United States of America.
Shourya MukherjeeDepartment of Mathematics, University North Carolina, Chapel Hill, North Carolina, United States of America.
Michael BressanDepartment of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-5200-931X
Boyce E GriffithDepartment of Mathematics, University North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-9800-7504

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Regulation of cardiac pacemaker cell cytoarchitectureR01HL146626 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael C Bressan · 2019 to 2026
$3.9M
Multiscale Modeling of Clotting Risk in Atrial FibrillationU01HL143336 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GRIFFITH, BOYCE EUGENE · 2018 to 2022
$2.8M
Computational and Experimental Modeling of Subclinical Leaflet Thrombosis in Bioprosthetic Aortic ValvesR01HL157631 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FOGELSON, AARON L, GRIFFITH, BOYCE EUGENE · 2022 to 2025
$2.7M
NCI NIH HHS P30 CA016086NHLBI NIH HHS R01 HL146626NHLBI NIH HHS R01 HL157631NHLBI NIH HHS U01 HL143336
6 · The paper itself

Abstract

Congenital heart defects occur in approximately 1% of newborns in the US annually. Currently, less than a third of congenital heart defects can be traced to a known genetic or environmental cause, suggesting that a large proportion of disease-causing mechanisms have yet to be fully characterized. Hemodynamic forces such as wall shear stress are critical for heart development and are known to induce changes in embryonic cardiac patterning leading to malformations. However, measuring these hemodynamic factors in vivo is infeasible due to physical limitations, such as the small size and constant motion of the embryonic heart. This serves as a significant barrier towards developing a mechanics-based understanding of the origins of congenital heart defects. An alternative approach is to recapitulate the hemodynamic environment by simulating blood flow and calculating the resulting hemodynamic forces through computational fluid dynamics modeling. Thus, we have developed a robust computational fluid dynamics modeling pipeline to quantify hemodynamics within cell-accurate anatomies of embryonic chick hearts. Here we describe the implementation of single plane illumination light sheet fluorescent microscopy to generate full three-dimensional reconstructions of the embryonic heart in silico, quantitative geometric morphometric methods for identifying anatomic variability across samples, and computational fluid dynamic approaches for calculating flow, pressure, and wall shear stress within complex tissue architectures. Together, these methods produce a fast, robust, and accessible system of analysis for generating high-resolution, quantitative descriptions of anatomical variability and hemodynamic forces in the embryonic heart.

Indexed as

HeartHemodynamicsHydrodynamicsModels, CardiovascularAnimalsChick EmbryoComputer Simulation

Identifiers

PMID40388465
PMCPMC12088024

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.