Evidence map›Paper›PMID 39804822›Full record

ArticlePLoS computational biology2025

Towards constructing a generalized structural 3D breathing human lung model based on experimental volumes, pressures, and strains.

Arif Badrou, Crystal A Mariano, Gustavo O Ramirez, Matthew Shankel, Nuno Rebelo, Mona Eskandari

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  6. Human lungs fluid mechanics: an overview of current modelling techniques.The European physical journal. E, Soft matter · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Fibrotic and emphysematous murine lung mechanics under negative-pressure ventilation.American journal of physiology. Lung cellular and molecular physiology · 2025
    Article
  12. Article
  13. Article
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.

Arif BadrouDepartment of Mechanical Engineering, University of California Riverside, Riverside, California, United States of America.
Crystal A MarianoDepartment of Mechanical Engineering, University of California Riverside, Riverside, California, United States of America.
Gustavo O RamirezDepartment of Mechanical Engineering, University of California Riverside, Riverside, California, United States of America.
Matthew ShankelDepartment of Mechanical Engineering, University of California Riverside, Riverside, California, United States of America.
Nuno RebeloNuno Rebelo Associates, LLC, Fremont, California, United States of America.
Mona EskandariDepartment of Mechanical Engineering, University of California Riverside, Riverside, California, United States of America.ORCID 0000-0002-9657-2614

Funding

Dassault Systèmes U.S. FoundationNational Science FoundationOpportunity to Advance Sustainability Innovation and Social Inclusion (OASIS)State of California Climate Action Through Resilience Program
6 · The paper itself

Abstract

Respiratory diseases represent a significant healthcare burden, as evidenced by the devastating impact of COVID-19. Biophysical models offer the possibility to anticipate system behavior and provide insights into physiological functions, advancements which are comparatively and notably nascent when it comes to pulmonary mechanics research. In this context, an Inverse Finite Element Analysis (IFEA) pipeline is developed to construct the first continuously ventilated three-dimensional structurally representative pulmonary model informed by both organ- and tissue-level breathing experiments from a cadaveric human lung. Here we construct a generalizable computational framework directly validated by pressure, volume, and strain measurements using a novel inflating apparatus interfaced with adapted, lung-specific, digital image correlation techniques. The parenchyma, pleura, and airways are represented with a poroelastic formulation to simulate pressure flows within the lung lobes, calibrating the model's material properties with the global pressure-volume response and local tissue deformations strains. The optimization yielded the following shear moduli: parenchyma (2.8 kPa), airways (0.2 kPa), and pleura (1.7 Pa). The proposed complex multi-material model with multi-experimental inputs was successfully developed using human lung data, and reproduced the shape of the inflating pressure-volume curve and strain distribution values associated with pulmonary deformation. This advancement marks a significant step towards creating a generalizable human lung model for broad applications across animal models, such as porcine, mouse, and rat lungs to reproduce pathological states and improve performance investigations regarding medical therapeutics and intervention.

Indexed as

LungModels, BiologicalRespirationAnimalsComputational BiologyComputer SimulationCOVID-19Finite Element AnalysisHumansImaging, Three-DimensionalPressureSARS-CoV-2

Identifiers

PMID39804822
PMCPMC11729960

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.