Evidence map›Paper›PMID 34898595›Full record

ArticlePLoS computational biology2021

Roles of mTOR in thoracic aortopathy understood by complex intracellular signaling interactions.

Ana C Estrada, Linda Irons, Bruno V Rego, Guangxin Li, George Tellides, Jay D Humphrey

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  6. Article
  7. Article
  8. Multiscale insights into postnatal aortic development.Biomechanics and modeling in mechanobiology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Intracellular signaling control of mechanical homeostasis in the aorta.Biomechanics and modeling in mechanobiology · 2022
    Article
  18. Review
  19. Article
  20. 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.

Ana C EstradaDepartment of Biomedical Engineering, Yale University; New Haven, Connecticut, United States of America.ORCID 0000-0003-0311-1948
Linda IronsDepartment of Biomedical Engineering, Yale University; New Haven, Connecticut, United States of America.ORCID 0000-0001-8912-7400
Bruno V RegoDepartment of Biomedical Engineering, Yale University; New Haven, Connecticut, United States of America.ORCID 0000-0002-6315-693X
Guangxin LiDepartment of Surgery, Yale School of Medicine; New Haven, Connecticut, United States of America.
George TellidesDepartment of Surgery, Yale School of Medicine; New Haven, Connecticut, United States of America.ORCID 0000-0001-7042-8190
Jay D HumphreyDepartment of Biomedical Engineering, Yale University; New Haven, Connecticut, United States of America.ORCID 0000-0003-1011-2025

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

Thoracic aortopathy-aneurysm, dissection, and rupture-is increasingly responsible for significant morbidity and mortality. Advances in medical genetics and imaging have improved diagnosis and thus enabled earlier prophylactic surgical intervention in many cases. There remains a pressing need, however, to understand better the underlying molecular and cellular mechanisms with the hope of finding robust pharmacotherapies. Diverse studies in patients and mouse models of aortopathy have revealed critical changes in multiple smooth muscle cell signaling pathways that associate with disease, yet integrating information across studies and models has remained challenging. We present a new quantitative network model that includes many of the key smooth muscle cell signaling pathways and validate the model using a detailed data set that focuses on hyperactivation of the mechanistic target of rapamycin (mTOR) pathway and its inhibition using rapamycin. We show that the model can be parameterized to capture the primary experimental findings both qualitatively and quantitatively. We further show that simulating a population of cells by varying receptor reaction weights leads to distinct proteomic clusters within the population, and that these clusters emerge due to a bistable switch driven by positive feedback in the PI3K/AKT/mTOR signaling pathway.

Indexed as

Aortic AneurysmTOR Serine-Threonine KinasesAnimalsHumansMaleMiceMyocytes, Smooth MuscleSignal TransductionMTOR protein, humanmTOR protein, mouseTOR Serine-Threonine Kinases

Identifiers

PMID34898595
PMCPMC8700007

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Registered trials

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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.