Evidence map›Paper›PMID 23721681›Full record

ArticleJournal of theoretical biology2013

Modelling airway smooth muscle passive length adaptation via thick filament length distributions.

Graham M Donovan

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Modeling the impairment of airway smooth muscle force by stretch.Journal of applied physiology (Bethesda, Md. : 1985) · 2015
    Article
  4. Article
  5. Article
  6. Force maintenance and myosin filament assembly regulated by Rho-kinase in airway smooth muscle.American journal of physiology. Lung cellular and molecular physiology · 2015
    Article
  7. 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

1 author at 1 institution in 1 country.

Graham M DonovanDepartment of Mathematics, University of Auckland, New Zealand. g.donovan@auckland.ac.nz
University of Auckland · NZ

Funding

A multi-scale approach to airway hyperresponsiveness: from molecule to organR01HL103405 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BATES, JASON HT, LAUZON, ANNE-MARIE · 2010 to 2013
$3.6M
NHLBI NIH HHS R01 HL103405PHS HHS NHLBIHL103405
6 · The paper itself

Abstract

We present a new model of airway smooth muscle (ASM), which surrounds and constricts every airway in the lung and thus plays a central role in the airway constriction associated with asthma. This new model of ASM is based on an extension of sliding filament/crossbridge theory, which explicitly incorporates the length distribution of thick sliding filaments to account for a phenomenon known as dynamic passive length adaptation; the model exhibits good agreement with experimental data for ASM force-length behaviour across multiple scales. Principally these are (nonlinear) force-length loops at short timescales (seconds), parabolic force-length curves at medium timescales (minutes) and length adaptation at longer timescales. This represents a significant improvement on the widely-used crossbridge models which work so well in or near the isometric regime, and may have significant implications for studies which rely on crossbridge or other dynamic airway smooth muscle models, and thus both airway and lung dynamics.

Indexed as

Models, BiologicalRespiratory Physiological PhenomenaRespiratory SystemAnimalsHumansMuscle, SmoothMuscle StrengthAirway constrictionAsthmaCrossbridge modelMyosin filament length distribution

Identifiers

PMID23721681
PMCPMC3760774
OpenAlexW2164029148

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.