Evidence map›Paper›PMID 32834001›Full record

ArticlePLoS computational biology2020

Cell signaling model for arterial mechanobiology.

Linda Irons, Jay 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 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.2field-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

34 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Ascending aortic aneurysm growth in the Fbln4Biomechanics and modeling in mechanobiology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Guidelines for mechanistic modeling and analysis in cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. A Fluid-Solid-Growth Solver for Cardiovascular Modeling.Computer methods in applied mechanics and engineering · 2023
    Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Linda IronsDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0001-8912-7400
Jay D HumphreyDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut, 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
Mechanisms Underlying The Progression of Large Artery Stiffness in HypertensionR01HL105297 · NHLBI · YALE UNIVERSITY · PI FIGUEROA, CARLOS ALBERTO, HUMPHREY, JAY D. · 2010 to 2019
$3.0M
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 HL105297NHLBI NIH HHS R01 HL146723NHLBI NIH HHS U01 HL142518
6 · The paper itself

Abstract

Arterial growth and remodeling at the tissue level is driven by mechanobiological processes at cellular and sub-cellular levels. Although it is widely accepted that cells seek to promote tissue homeostasis in response to biochemical and biomechanical cues-such as increased wall stress in hypertension-the ways by which these cues translate into tissue maintenance, adaptation, or maladaptation are far from understood. In this paper, we present a logic-based computational model for cell signaling within the arterial wall, aiming to predict changes in extracellular matrix turnover and cell phenotype in response to pressure-induced wall stress, flow-induced wall shear stress, and exogenous sources of angiotensin II, with particular interest in mouse models of hypertension. We simulate a number of experiments from the literature at both the cell and tissue level, involving single or combined inputs, and achieve high qualitative agreement in most cases. Additionally, we demonstrate the utility of this modeling approach for simulating alterations (in this case knockdowns) of individual nodes within the signaling network. Continued modeling of cellular signaling will enable improved mechanistic understanding of arterial growth and remodeling in health and disease, and will be crucial when considering potential pharmacological interventions.

Indexed as

Models, CardiovascularSignal TransductionAnimalsArteriesHumansMice

Identifiers

PMID32834001
PMCPMC7470387
OpenAlexW3080274160

What OpenQuestion 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 OpenQuestion graph.