Literature DB >> 25462835

Respiratory modulation of sympathetic activity is attenuated in adult rats conditioned with chronic hypobaric hypoxia.

Yee-Hsee Hsieh1, Frank J Jacono2, Ruth E Siegel3, Thomas E Dick4.   

Abstract

Respiratory modulation of sympathetic nerve activity (SNA) depends on numerous factors including prior experience. In our studies, exposing naïve adult, male Sprague-Dawley rats to acute intermittent hypoxia (AIH) enhanced respiratory-modulation of splanchnic SNA (sSNA); whereas conditioning them to chronic hypobaric hypoxia (CHH) attenuated modulation. Further, AIH can evoke increased SNA in the absence phrenic long-term facilitation. We hypothesized that AIH would restore respiratory modulation of SNA in CHH rats. In anesthetized, CHH-conditioned (0.5 atm, 2 wks) rats (n=16), we recorded phrenic and sSNA before during and after AIH (8% O2 for 45s every 5min for 1h). At baseline, sSNA was not modulated with respiration. The sSNA was not recruited during a single brief exposure of hypoxia nor after 10 repetitive exposures. Further, the sSNA chemoresponse was not restored 1h after completing AIH. Thus, CHH-conditioning blocked the short-term plasticity expressed in sympatho-respiratory efferent activities and this was associated with reduced respiratory modulation of sympathetic activity and with attenuation of the sympatho-respiratory chemoresponse.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adaptation to hypoxia.; Hypoxia; Neural control of respiration; Neural control of sympathetic activity

Mesh:

Year:  2014        PMID: 25462835      PMCID: PMC4314614          DOI: 10.1016/j.resp.2014.11.011

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


  46 in total

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9.  Adaptation to hypobaric hypoxia involves GABA A receptors in the pons.

Authors:  Yee-Hsee Hsieh; Thomas E Dick; Ruth E Siegel
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10.  Linking Inflammation, Cardiorespiratory Variability, and Neural Control in Acute Inflammation via Computational Modeling.

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