Evidence map›Paper›PMID 25302708›Full record

ArticlePloS one2014

A closed-loop model of the respiratory system: focus on hypercapnia and active expiration.

Yaroslav I Molkov, Natalia A Shevtsova, Choongseok Park, Alona Ben-Tal, Jeffrey C Smith, Jonathan E Rubin, Ilya A Rybak

Open access · goldAbstract 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 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

40 citing papers in PubMed, 79 citations in OpenAlex.

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  13. Neural bases for the genesis and COFrontiers in neuroscience · 2023
    Article
  14. Dynamics of ramping bursts in a respiratory neuron model.Journal of computational neuroscience · 2022
    Article
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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

7 authors at 5 institutions in 2 countries.

Yaroslav I MolkovDepartment of Mathematical Sciences, Indiana University - Purdue University, Indianapolis, Indiana, United States of America.
Natalia A ShevtsovaDepartment of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America.
Choongseok ParkDepartment of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Alona Ben-TalInstitute of Information and Mathematical Sciences, Massey University, Albany, Auckland, New Zealand.
Jeffrey C SmithCellular and Systems Neurobiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America.
Jonathan E RubinDepartment of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Ilya A RybakDepartment of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America.
Drexel University · USUniversity of Pittsburgh · USIndiana University – Purdue University Indianapolis · USMassey University · NZNational Institute of Neurological Disorders and Stroke · US

Funding

Multi-Scale Models of Neural Mechanisms Controlling Breathing in MammalsZIANS003108 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI SMITH, JEFFREY C · 2009 to 2023
$7.5M
Multiscale Model of Neural Control of BreathingR01NS069220 · NINDS · DREXEL UNIVERSITY · PI BEN-TAL, ALONA, DICK, THOMAS E · 2010 to 2014
$2.9M
Intramural NIH HHSNINDS NIH HHS R01 NS069220NINDS NIH HHS R01NS069220
6 · The paper itself

Abstract

Breathing is a vital process providing the exchange of gases between the lungs and atmosphere. During quiet breathing, pumping air from the lungs is mostly performed by contraction of the diaphragm during inspiration, and muscle contraction during expiration does not play a significant role in ventilation. In contrast, during intense exercise or severe hypercapnia forced or active expiration occurs in which the abdominal "expiratory" muscles become actively involved in breathing. The mechanisms of this transition remain unknown. To study these mechanisms, we developed a computational model of the closed-loop respiratory system that describes the brainstem respiratory network controlling the pulmonary subsystem representing lung biomechanics and gas (O2 and CO2) exchange and transport. The lung subsystem provides two types of feedback to the neural subsystem: a mechanical one from pulmonary stretch receptors and a chemical one from central chemoreceptors. The neural component of the model simulates the respiratory network that includes several interacting respiratory neuron types within the Bötzinger and pre-Bötzinger complexes, as well as the retrotrapezoid nucleus/parafacial respiratory group (RTN/pFRG) representing the central chemoreception module targeted by chemical feedback. The RTN/pFRG compartment contains an independent neural generator that is activated at an increased CO2 level and controls the abdominal motor output. The lung volume is controlled by two pumps, a major one driven by the diaphragm and an additional one activated by abdominal muscles and involved in active expiration. The model represents the first attempt to model the transition from quiet breathing to breathing with active expiration. The model suggests that the closed-loop respiratory control system switches to active expiration via a quantal acceleration of expiratory activity, when increases in breathing rate and phrenic amplitude no longer provide sufficient ventilation. The model can be used for simulation of closed-loop control of breathing under different conditions including respiratory disorders.

Indexed as

ExhalationFeedback, PhysiologicalHumansHypercapniaLungModels, BiologicalNeuronsPulmonary Gas ExchangeRespiratory MechanicsRespiratory System

Identifiers

PMID25302708
PMCPMC4193835
OpenAlexW2168715575

What OpenQuestion holds

Textmetadata
LicenceCC0
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.