Evidence map›Paper›PMID 37658985›Full record

ArticleBiomechanics and modeling in mechanobiology2023

A computational growth and remodeling framework for adaptive and maladaptive pulmonary arterial hemodynamics.

Jason M Szafron, Weiguang Yang, Jeffrey A Feinstein, Marlene Rabinovitch, Alison L Marsden

Open access · greenAbstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Postnatal pulmonary artery development from transcript to tissue.Journal of the Royal Society, Interface · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method.Computer methods in applied mechanics and engineering · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jason M SzafronDepartment of Pediatrics (Cardiology), Stanford University, Stanford, CA, 94305, USA.
Weiguang YangDepartment of Pediatrics (Cardiology), Stanford University, Stanford, CA, 94305, USA.
Jeffrey A FeinsteinDepartment of Pediatrics (Cardiology), Stanford University, Stanford, CA, 94305, USA.
Marlene RabinovitchDepartment of Pediatrics (Cardiology), Stanford University, Stanford, CA, 94305, USA.
Alison L MarsdenDepartment of Pediatrics (Cardiology), Stanford University, Stanford, CA, 94305, USA. amarsden@stanford.edu.
Stanford University · USCardiovascular Institute of the South · US

Funding

T32 Training Program in Mechanisms and Innovation in Vascular DiseaseT32HL098049 · NHLBI · STANFORD UNIVERSITY · PI Nicholas James Leeper, Philip S Tsao · 2010 to 2026
$6.3M
High Shear Stress Alters Gene Regulation in Pulmonary Arterial HypertensionR01HL152134 · NHLBI · STANFORD UNIVERSITY · PI RABINOVITCH, MARLENE · 2021 to 2024
$2.9M
NHLBI NIH HHS R01 HL152134NHLBI NIH HHS T32 HL098049
6 · The paper itself

Abstract

Hemodynamic loading is known to contribute to the development and progression of pulmonary arterial hypertension (PAH). This loading drives changes in mechanobiological stimuli that affect cellular phenotypes and lead to pulmonary vascular remodeling. Computational models have been used to simulate mechanobiological metrics of interest, such as wall shear stress, at single time points for PAH patients. However, there is a need for new approaches that simulate disease evolution to allow for prediction of long-term outcomes. In this work, we develop a framework that models the pulmonary arterial tree through adaptive and maladaptive responses to mechanical and biological perturbations. We coupled a constrained mixture theory-based growth and remodeling framework for the vessel wall with a morphometric tree representation of the pulmonary arterial vasculature. We show that non-uniform mechanical behavior is important to establish the homeostatic state of the pulmonary arterial tree, and that hemodynamic feedback is essential for simulating disease time courses. We also employed a series of maladaptive constitutive models, such as smooth muscle hyperproliferation and stiffening, to identify critical contributors to development of PAH phenotypes. Together, these simulations demonstrate an important step toward predicting changes in metrics of clinical interest for PAH patients and simulating potential treatment approaches.

Indexed as

Hypertension, PulmonaryHemodynamicsHumansLungPulmonary ArteryStress, MechanicalVascular RemodelingGrowth and remodelingMaladaptive remodelingMorphometric treePulmonary arterial hypertension

Identifiers

PMID37658985
PMCPMC10929588
OpenAlexW4386387477

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.