Evidence map›Paper›PMID 33527256›Full record

ReviewCardiovascular engineering and technology2021

On Valve Interstitial Cell Signaling: The Link Between Multiscale Mechanics and Mechanobiology.

Daniel P Howsmon, Michael S Sacks

Open access · greenAbstract readReview
In one paragraph

Review in Cardiovascular engineering and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

2 authors at 1 institution in 1 country.

Daniel P HowsmonJames T. Willerson Center for Cardiovascular Modeling and Simulation, The Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-7177-1342
Michael S SacksJames T. Willerson Center for Cardiovascular Modeling and Simulation, The Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA. msacks@oden.utexas.edu.ORCID 0000-0002-2711-8370
The University of Texas at Austin · US

Funding

Quantitative Methods for Optimizing IMR RepairR01HL073021 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C, SACKS, MICHAEL S · 2004 to 2022
$7.6M
Biomechanical indicators of bicuspid aortic valve dysfunctionR01HL142504 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI GORMAN, ROBERT C, HSU, MING-CHEN · 2018 to 2021
$2.9M
NHLBI NIH HHS R01 HL073021NHLBI NIH HHS R01 HL142504
6 · The paper itself

Abstract

Heart valves function in one of the most mechanically demanding environments in the body to ensure unidirectional blood flow. The resident valve interstitial cells respond to this mechanical environment and maintain the structure and integrity of the heart valve tissues to preserve homeostasis. While the mechanics of organ-tissue-cell heart valve function has progressed, the intracellular signaling network downstream of mechanical stimuli has not been fully elucidated. This has hindered efforts to both understand heart valve mechanobiology and rationally identify drug targets for treating valve disease. In the present work, we review the current literature on VIC mechanobiology and then propose mechanistic mathematical modeling of the mechanically-stimulated VIC signaling response to comprehend the coupling between VIC mechanobiology and valve mechanics.

Indexed as

Heart ValvesSignal TransductionBiophysicsCell signalingMechanobiologySystems biologyValve interstitial cell

Identifiers

PMID33527256
PMCPMC11046423
OpenAlexW3126734043

What Socratic 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 Socratic graph.