Evidence map›Paper›PMID 24632688›Full record

ArticlePloS one2014

The role of inflammation resolution speed in airway smooth muscle mass accumulation in asthma: insight from a theoretical model.

Igor L Chernyavsky, Huguette Croisier, Lloyd A C Chapman, Laura S Kimpton, Jonathan E Hiorns, Bindi S Brook, Oliver E Jensen, Charlotte K Billington, Ian P Hall, Simon R Johnson

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. A review of inflammatory mechanism in airway diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2019
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
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

10 authors.

Igor L ChernyavskySchool of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom.
Huguette CroisierSchool of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom.
Lloyd A C ChapmanMathematical Institute, University of Oxford, Oxford, United Kingdom.
Laura S KimptonMathematical Institute, University of Oxford, Oxford, United Kingdom.
Jonathan E HiornsSchool of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom.
Bindi S BrookSchool of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom.
Oliver E JensenSchool of Mathematics, University of Manchester, Manchester, United Kingdom.
Charlotte K BillingtonDepartment of Therapeutics and Molecular Medicine, University of Nottingham, Nottingham, United Kingdom.
Ian P HallDepartment of Therapeutics and Molecular Medicine, University of Nottingham, Nottingham, United Kingdom.
Simon R JohnsonDepartment of Therapeutics and Molecular Medicine, University of Nottingham, Nottingham, United Kingdom.

Funding

Medical Research Council G0400910Medical Research Council G0701390Medical Research Council G0901174
6 · The paper itself

Abstract

Despite a large amount of in vitro data, the dynamics of airway smooth muscle (ASM) mass increase in the airways of patients with asthma is not well understood. Here, we present a novel mathematical model that describes qualitatively the growth dynamics of ASM cells over short and long terms in the normal and inflammatory environments typically observed in asthma. The degree of ASM accumulation can be explained by an increase in the rate at which ASM cells switch between non-proliferative and proliferative states, driven by episodic inflammatory events. Our model explores the idea that remodelling due to ASM hyperplasia increases with the frequency and magnitude of these inflammatory events, relative to certain sensitivity thresholds. It highlights the importance of inflammation resolution speed by showing that when resolution is slow, even a series of small exacerbation events can result in significant remodelling, which persists after the inflammatory episodes. In addition, we demonstrate how the uncertainty in long-term outcome may be quantified and used to design an optimal low-risk individual anti-proliferative treatment strategy. The model shows that the rate of clearance of ASM proliferation and recruitment factors after an acute inflammatory event is a potentially important, and hitherto unrecognised, target for anti-remodelling therapy in asthma. It also suggests new ways of quantifying inflammation severity that could improve prediction of the extent of ASM accumulation. This ASM growth model should prove useful for designing new experiments or as a building block of more detailed multi-cellular tissue-level models.

Indexed as

Models, TheoreticalAirway RemodelingAsthmaHumansInflammationMuscle, Smooth

Identifiers

PMID24632688
PMCPMC3954558

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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.