Literature DB >> 16143281

Airway mechanosensors.

Jerry Yu1.   

Abstract

A mechanosensory unit is a functional unit that contains multiple receptors (or encoders) with different characteristics, including rapidly adapting receptors, slowly adapting receptors, and deflation-activated-receptors. Each is capable of sensing different aspects of lung mechanics. The sensory unit is both a transducer and a processor. Significant information integration occurs at the intra-encoder and inter-encoder levels. Within an encoder, the information is encoded as analog signals and integrated by amplitude modulation. Information from each single stretch-activated channel is processed through several levels of temporal and spatial summation, producing a generator potential that encodes averaged overall information within the encoder. This analog signal is transformed into a digital signal in the form of action potentials that are encoded as frequency (frequency modulation). These all-or-none propagated action potentials from different encoders interact through a competitive selection mechanism. Such inter-encoder interaction may occur at several levels, because of the fractal nature of the sensory unit. Inter-encoder interaction retains representative information but eliminates redundant information, resulting in the final output to the central nervous system, where multiple decoders specific for different variables decipher the encoded information for further processing.

Mesh:

Year:  2005        PMID: 16143281     DOI: 10.1016/j.resp.2004.12.007

Source DB:  PubMed          Journal:  Respir Physiol Neurobiol        ISSN: 1569-9048            Impact factor:   1.931


  21 in total

1.  Particle-induced indentation of the alveolar epithelium caused by surface tension forces.

Authors:  S M Mijailovich; M Kojic; A Tsuda
Journal:  J Appl Physiol (1985)       Date:  2010-07-15

2.  Vagal Intramuscular Arrays: The Specialized Mechanoreceptor Arbors That Innervate the Smooth Muscle Layers of the Stomach Examined in the Rat.

Authors:  Terry L Powley; Cherie N Hudson; Jennifer L McAdams; Elizabeth A Baronowsky; Robert J Phillips
Journal:  J Comp Neurol       Date:  2015-10-13       Impact factor: 3.215

Review 3.  Central pathways of pulmonary and lower airway vagal afferents.

Authors:  Leszek Kubin; George F Alheid; Edward J Zuperku; Donald R McCrimmon
Journal:  J Appl Physiol (1985)       Date:  2006-04-27

4.  Opposite responses to lidocaine between intrapulmonary mechanical and chemical sensors.

Authors:  Huafeng Li; Lei Du; Peyman Otmishi; Yuwen He; Juan Guardiola; Jerry Yu
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2009-07-15       Impact factor: 3.619

Review 5.  Computational models and emergent properties of respiratory neural networks.

Authors:  Bruce G Lindsey; Ilya A Rybak; Jeffrey C Smith
Journal:  Compr Physiol       Date:  2012-07       Impact factor: 9.090

6.  Morphology and chemical characteristics of subepithelial laminar nerve endings in the rat epiglottic mucosa.

Authors:  Yasufumi Soda; Yoshio Yamamoto
Journal:  Histochem Cell Biol       Date:  2012-03-01       Impact factor: 4.304

Review 7.  Prenatal development of respiratory chemoreceptors in endothermic vertebrates.

Authors:  Steven C Hempleman; Jason Q Pilarski
Journal:  Respir Physiol Neurobiol       Date:  2011-05-06       Impact factor: 1.931

Review 8.  Laryngeal Chemoreflex in Health and Disease: A Review.

Authors:  Shivani Pathak; Laurie Slovarp; Matthew S Clary; Marie E Jetté
Journal:  Chem Senses       Date:  2020-12-05       Impact factor: 3.160

9.  Spectrum of myelinated pulmonary afferents (II).

Authors:  Jun Liu; Jerry Yu
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2013-09-18       Impact factor: 3.619

Review 10.  Neural Sensing of Organ Volume.

Authors:  Benjamin D Umans; Stephen D Liberles
Journal:  Trends Neurosci       Date:  2018-08-22       Impact factor: 13.837

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