Evidence map›Paper›PMID 33079926›Full record

ArticlePLoS computational biology2020

Numerical knockouts-In silico assessment of factors predisposing to thoracic aortic aneurysms.

M Latorre, J D Humphrey

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-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

24 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Hypertension drives thoracic aortic aneurysm and dissection in male, but not female, Marfan mice.Journal of the mechanical behavior of biomedical materials · 2026
    Article
  3. Article
  4. Mechanisms driving thoracic aortic aneurysm instability.Biomechanics and modeling in mechanobiology · 2026
    Article
  5. Article
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  7. Mechanisms Driving Thoracic Aortic Aneurysm Stability.bioRxiv : the preprint server for biology · 2025
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  11. FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method.Computer methods in applied mechanics and engineering · 2024
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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

2 authors at 1 institution in 1 country.

M LatorreDepartment of Biomedical Engineering, Yale University, New Haven, CT, United States of America.ORCID 0000-0003-4142-0207
J D HumphreyDepartment of Biomedical Engineering, Yale University, New Haven, CT, United States of America.ORCID 0000-0003-1011-2025
Yale University · US

Funding

TGFB-Dependent Mechanoresponses by Aortic Smooth Muscle Cells Govern AneurysmsP01HL134605 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RIFKIN, DANIEL B · 2018 to 2022
$12.1M
Smooth Muscle Cell Proliferation and Degradative Phenotype in Thoracic Aorta Aneurysm and DissectionR01HL146723 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., TELLIDES, GEORGE · 2019 to 2022
$2.9M
Multimodality imaging-driven multifidelity modeling of aortic dissectionU01HL142518 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2018 to 2022
$2.8M
NHLBI NIH HHS P01 HL134605NHLBI NIH HHS R01 HL146723NHLBI NIH HHS U01 HL142518
6 · The paper itself

Abstract

Myriad risk factors-including uncontrolled hypertension, aging, and diverse genetic mutations-contribute to the development and enlargement of thoracic aortic aneurysms. Detailed analyses of clinical data and longitudinal studies of murine models continue to provide insight into the natural history of these potentially lethal conditions. Yet, because of the co-existence of multiple risk factors in most cases, it has been difficult to isolate individual effects of the many different factors or to understand how they act in combination. In this paper, we use a data-informed computational model of the initiation and progression of thoracic aortic aneurysms to contrast key predisposing risk factors both in isolation and in combination; these factors include localized losses of elastic fiber integrity, aberrant collagen remodeling, reduced smooth muscle contractility, and dysfunctional mechanosensing or mechanoregulation of extracellular matrix along with superimposed hypertension and aortic aging. In most cases, mild-to-severe localized losses in cellular function or matrix integrity give rise to varying degrees of local dilatations of the thoracic aorta, with enlargement typically exacerbated in cases wherein predisposing risk factors co-exist. The simulations suggest, for the first time, that effects of compromised smooth muscle contractility are more important in terms of dysfunctional mechanosensing and mechanoregulation of matrix than in vessel-level control of diameter and, furthermore, that dysfunctional mechanobiological control can yield lesions comparable to those in cases of compromised elastic fiber integrity. Particularly concerning, therefore, is that loss of constituents such as fibrillin-1, as in Marfan syndrome, can compromise both elastic fiber integrity and mechanosensing.

Indexed as

Aorta, ThoracicAortic Aneurysm, ThoracicComputer SimulationDisease Models, AnimalAnimalsComputational BiologyDisease ProgressionHumansMaleMarfan SyndromeMiceRisk Factors

Identifiers

PMID33079926
PMCPMC7598929
OpenAlexW3093695019

What OpenQuestion holds

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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.