Evidence map›Paper›PMID 32831391›Full record

ArticleInternational journal of engineering science2019

Computational Modeling Predicts Immuno-Mechanical Mechanisms of Maladaptive Aortic Remodeling in Hypertension.

Marcos Latorre, Matthew R Bersi, Jay D Humphrey

Open access · bronzeAbstract read
In one paragraph

Article in International journal of engineering science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Vascular Mechanobiology: Homeostasis, Adaptation, and Disease.Annual review of biomedical engineering · 2021
    Review
  11. Mechanisms of Vascular Remodeling in Hypertension.American journal of hypertension · 2021
    Review
  12. Computational models of cardiac hypertrophy.Progress in biophysics and molecular biology · 2021
    Review
  13. Complementary roles of mechanotransduction and inflammation in vascular homeostasis.Proceedings. Mathematical, physical, and engineering sciences · 2021
    Article
  14. Plasma Metabolomics Analysis Identifies Abnormal Energy, Lipid, and Amino Acid Metabolism in Abdominal Aortic Aneurysms.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  15. Article
  16. Vascular adaptation in the presence of external support - A modeling study.Journal of the mechanical behavior of biomedical materials · 2020
    Article
  17. Cell signaling model for arterial mechanobiology.PLoS computational biology · 2020
    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

3 authors at 2 institutions in 1 country.

Marcos LatorreDepartment of Biomedical Engineering Yale University, New Haven, CT, USA.
Matthew R BersiDepartment of Biomedical Engineering Vanderbilt University, Nashville, TN, USA.
Jay D HumphreyDepartment of Biomedical Engineering Yale University, New Haven, CT, USA.
Yale University · USVanderbilt University · US

Funding

TGFB-Dependent Mechanoresponses by Aortic Smooth Muscle Cells Govern AneurysmsP01HL134605 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HUMPHREY, JAY D. · 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
Multimodality imaging-driven multifidelity modeling of aortic dissectionU01HL142518 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2018 to 2022
$2.8M
Multiscale, Multiphysics Model of Thrombus Biomechanics in Aortic DissectionU01HL116323 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2013 to 2017
$2.4M
Computational Model Driven Design of Tissue Engineered Vascular GraftsR01HL128602 · NHLBI · YALE UNIVERSITY · PI BREUER, CHRISTOPHER KANE, HUMPHREY, JAY D. · 2015 to 2018
$2.2M
NHLBI NIH HHS P01 HL134605NHLBI NIH HHS R01 HL105297NHLBI NIH HHS R01 HL128602NHLBI NIH HHS U01 HL116323NHLBI NIH HHS U01 HL142518
6 · The paper itself

Abstract

Uncontrolled hypertension is a major risk factor for myriad cardiovascular diseases. Among its many effects, hypertension increases central artery stiffness which in turn is both an initiator and indicator of disease. Despite extensive clinical, animal, and basic science studies, the biochemomechanical mechanisms by which hypertension drives aortic stiffening remain unclear. In this paper, we show that a new computational model of aortic growth and remodeling can capture differential effects of induced hypertension on the thoracic and abdominal aorta in a common mouse model of disease. Because the simulations treat the aortic wall as a constrained mixture of different constituents having different material properties and rates of turnover, one can gain increased insight into underlying constituent-level mechanisms of aortic remodeling. Model results suggest that the aorta can mechano-adapt locally to blood pressure elevation in the absence of marked inflammation, but large increases in inflammation drive a persistent maladaptive phenotype characterized primarily by adventitial fibrosis. Moreover, this fibrosis appears to occur via a marked increase in the rate of deposition of collagen having different material properties in the absence of a compensatory increase in the rate of matrix degradation. Controlling inflammation thus appears to be key to reducing fibrosis, but therapeutic strategies should not compromise the proteolytic activity of the wall that is essential to mechanical homeostasis.

Indexed as

aortablood pressureconstrained mixtureinflammationwall stress

Identifiers

PMID32831391
PMCPMC7437922
OpenAlexW2947251859

What OpenQuestion holds

Textmetadata
LicenceTDM
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.