Evidence map›Paper›PMID 30794804›Full record

ReviewExperimental cell research2019

Mechanical influences on cardiovascular differentiation and disease modeling.

Evan L Teng, Adam J Engler

Abstract readReview
In one paragraph

Review in Experimental cell research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Evan L TengDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States; Sanford Consortium for Regenerative Medicine, La Jolla, CA 92037, United States.
Adam J EnglerDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States; Sanford Consortium for Regenerative Medicine, La Jolla, CA 92037, United States. Electronic address: aengler@ucsd.edu.

Funding

Integrative Bioengineering of Heart, Vessels, and BloodT32HL105373 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, INTAGLIETTA, MARCOS · 2010 to 2019
$3.6M
Mechanogenetics: An Integrated Approach to Aging in Muscle DysfunctionR01AG045428 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ENGLER, ADAM J · 2013 to 2022
$3.4M
Analyzing the Cardiac Power Grid: Adaptive responses to fluctuating local demandU01HL122199 · NHLBI · UNIVERSITY OF WASHINGTON · PI BEARD, DANIEL A, DASH, RANJAN K · 2015 to 2019
$3.3M
NHLBI NIH HHS T32 HL105373NIA NIH HHS R01 AG045428
6 · The paper itself

Abstract

Tissues are continuously exposed to forces in vivo, whether from fluid pressure in an artery from our blood or compressive forces on joints from our body weight. The forces that cells are exposed to arise almost immediately after conception; it is therefore important to understand how forces shape stem cell differentiation into lineage committed cells, how they help organize cells into tissues, and how forces can cause or exacerbate disease. No tissue is exempt, but cardiovascular tissues in particular are exposed to these forces. While animal models have been used extensively in the past, there is growing recognition of their limitations when modeling disease complexity or human genetics. In this mini review, we summarize current understanding of the mechanical influences on the differentiation of cardiovascular progeny, how the transduction of forces influence the onset of disease, and how engineering approaches applied to this problem have yielded systems that create mature-like human tissues in vitro in which to assess the impact of disease on cell function.

Indexed as

Cell DifferentiationMechanotransduction, CellularStress, MechanicalAnimalsCardiovascular DiseasesCardiovascular SystemHumansStem CellsExtracellular matrixShear stressStem cellsStiffness

Identifiers

PMID30794804
PMCPMC6408970

What OpenQuestion holds

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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.