CrossTalk proposal: a central hypoxia sensor contributes to the excitatory hypoxic ventilatory response
Notice bibliographique
Résumé
The high-energy demands of the mammalian brain are met primarily through oxidative metabolism. With minimal capacity for energy storage, the brain depends on a constant supply of oxygen and metabolic substrates to meet these demands. A host of adaptive responses have evolved to protect brain O2 delivery. Prominent among these is the biphasic hypoxic ventilatory response (HVR). The classical view of the HVR is that specialized peripheral chemosensors in the carotid bodies (CBs) (and aortic bodies in some species) detect decreases in the arterial and activate brainstem respiratory centres, causing adaptive increases in ventilation. Ventilation peaks in the first minute and is followed by a secondary hypoxic respiratory depression that is most pronounced in premature mammals and attributed to the central depression of the brainstem respiratory network, decreased CB output or a reduced metabolic rate (Fig. 1A; Bissonnette, 2000; Teppema & Dahan, 2010). This traditional view posits that the excitatory component of the HVR originates from the CB and that monitoring peripheral arterial is sufficient to ensure brain O2 homeostasis; i.e. the only contribution of the CNS to the HVR is the depression of ventilation. We disagree and here review evidence that the brainstem neuroglial network controlling breathing is specialized through cellular or emergent network properties to orchestrate a homeostatic response to acute hypoxia that includes network excitation and an increase in ventilation that counteracts the hypoxic depression of breathing. Cardiovascular and sympathetic nervous system responses mediated by hypoxia-sensitive presympathetic neurons (Sun & Reis, 1994), mechanisms of neuronal hypoxia sensing that are not related to the HVR (Haddad & Jiang, 1997), responses to intermittent hypoxia and mechanisms of gasping are beyond the scope of this article. Maintaining brain metabolic homeostasis is a significant challenge (Marina et al. 2017). O2 profiles vary significantly throughout the brain parenchyma, reflecting complex spatiotemporal differences in local neuronal activities and metabolic demands. These regional differences in brain cannot be detected by the CB chemoreceptors. Neurovascular coupling mechanisms, which do not involve O2 sensing per se, cause changes in regional cerebral blood flow in accordance with changes in neuronal activity that are communicated to the vasculature via astrocytes releasing vasoactive substances (Attwell et al. 2010). Astrocytes are ideally positioned to monitor neuronal activity to adjust blood flow in accordance with local energy demands, but they are equally well-positioned to modulate neuronal activity in accordance with parenchymal metabolic signals, including brain tissue (Teschemacher et al. 2015). When brain falls acutely, the predominant neurochemical response is an increase in extracellular adenosine, synaptic depression and decreased neuronal activity (Lipton, 1999; Ramirez et al. 2007; Mukandala et al. 2016). This response is adaptive at a local level, as it reduces metabolic demands, enhancing the capacity of brain tissue to survive periods of limited O2 supply, but hypoxic depression of respiratory network activity is maladaptive; i.e. ventilation and sympathetic activity must increase to ensure recovery. There is significant evidence that the brainstem respiratory network can mount an adaptive excitatory response to hypoxia, independent of CB activity. The literature describing the expression of the HVR after CB denervation (or silencing) is confusing. The majority of mammalian studies show that hypoxia-induced increases in ventilation are abolished following acute CB denervation (Bissonnette, 2000; Teppema & Dahan, 2010). However, we argue that data interpretation is confounded by the inhibitory effects of anaesthesia on central hypoxia-sensing mechanisms, and incomplete understanding of how central and peripheral chemosensory inputs are integrated (Smith et al. 2010; Gourine & Funk, 2017). CB denervation could also have an impact on other mechanisms that minimize brain hypoxaemia (e.g. increases in cerebral blood flow and arterial blood pressure, hypometabolism), such that a specific hypoxic stimulus could produce a lower parenchymal in CB-denervated compared to intact (control) animals. Direct assessment of brain is needed to resolve the significance of this issue. Nevertheless, when allowed to recover from CB denervation and studied without anaesthetic, mice (Soliz et al. 2005), rats (Martin-Body et al. 1986; Roux et al. 2000; Angelova et al. 2015), cats (Miller & Tenney, 1975; Gautier & Bonora, 1980), dogs (Davenport et al. 1947), goats (Daristotle et al. 1991) and ponies (Bisgard et al. 1976) show partial or almost complete recovery of the HVR. This might reflect compensatory plasticity of non-CB peripheral chemoreceptors (Hodges & Forster, 2012), or recovery from the disruption of brainstem chemosensory/respiratory network excitability following CB denervation. The latter is supported by experiments in unanaesthetized dogs (Curran et al. 2000) and goats (Daristotle et al. 1991) with intact, isolated and separately perfused CBs. Animals responded to central hypoxia with an increase in ventilation, but denervation of the normoxic/normocapnic CBs abolished/attenuated the ventilatory response to central hypoxia, suggesting that brain O2 sensing mechanisms require permissive/facilitatory inputs from the periphery. In humans, CB denervation consistently abolishes the HVR (Timmers et al. 2003b; Teppema & Dahan, 2010), but again data interpretation is challenging. Denervation studies commonly involve subjects with chronic lung disease who may have altered chemoreflex function. Thus, it may be significant that some CB-denervated individuals (2/8) without a history of lung disease showed a HVR under hypercapnic conditions (Timmers et al. 2003a). CB-resected asthma subjects showed a similar dependence of the HVR on systemic hypercapnia (Swanson et al. 1978), possibly suggesting an interaction between a central hypoxia-sensitive mechanism and other chemosensory inputs (Gourine & Funk, 2017). Finally, failure to record an increase in ventilation in response to hypoxia does not exclude the existence of a centrally mediated excitatory HVR. Maintenance of ventilation during hypoxia (i.e. no depression) following chronic CB denervation (Swanson et al. 1978) may be evidence of an excitatory HVR. Brainstem astrocytes (especially those in the preBötzinger complex; preBötC) are emerging as important in coordinating the central component of the HVR. A key observation in anaesthetized rats was the slow-onset release of the gliotransmitter ATP from the ventral surface of the medulla oblongata during hypoxia (Gourine et al. 2005). A reduction of the steady-state component of the HVR following microinjections of P2 receptor antagonists into the preBötC (Gourine et al. 2005; Rajani et al. 2018) led to the hypothesis that hypoxia evokes ATP release from astrocytes, which stimulates breathing and attenuates the hypoxic respiratory depression (Gourine et al. 2005). Consistent with this, astrocytes cultured from the brainstem respond to physiologically relevant levels of hypoxia with an increase in [Ca2+]i and vesicular release of ATP (Angelova et al. 2015). Astrocytes are known to change their properties in culture, but accumulating evidence supports the physiological relevance of these observations. First, the HVR is reduced in anaesthetized, mechanically-ventilated, neuromuscularly blocked rats following unilateral pharmacological inhibition of P2Y1 receptors in the preBötC (Gourine et al. 2005; Rajani et al. 2018), and in CB-denervated awake rats in conditions of virally induced expression of transmembrane prostatic acid phosphatase (TMPAP) in the preBötC to facilitate rapid degradation of extracellular ATP (Angelova et al. 2015; Sheikhbahaei et al. 2018). Second, viral approaches that expressed the light chain of tetanus toxin (TeLC) or dnSNARE to disrupt vesicular release mechanisms selectively in preBötC astrocytes reduced the HVR in (i) anaesthetized rats; (ii) awake CB-denervated rats; and (iii) most importantly, awake rats with intact peripheral chemoreceptors, as this addressed the potentially confounding effects of anaesthesia and removal of "permissive" CB input (Fig 1B; Angelova et al. 2015; Rajani et al. 2018; Sheikhbahaei et al. 2018). It will be important to demonstrate that the reduced HVR following TeLC or dnSNARE expression in preBötC astrocytes is not due to non-specific disruption of glial function and impaired ability of the preBötC to increase ventilation. However, this possibility is unlikely because TeLC and dnSNARE expression specifically target astrocytic vesicular release mechanisms. They do not severely disrupt baseline breathing as might be expected if the general housekeeping functions of astrocytes were impaired. In addition, the HVR is also reduced via manipulations of P2 receptor signalling that have minimal effect on glial function (Angelova et al. 2015; Rajani et al. 2018). Whether the hypoxia-induced ATP release by astrocytes and local network excitation is unique to the preBötC is not known. Astrocytes in other areas of the brain respond to hypoxia with increases in [Ca2+]i (Angelova et al. 2015), but purinergic signalling in the preBötC (which is determined by local P2 and P1 receptors, ectonucleotidase activity and a host of transporters and intracellular enzymes that interact to determine the extracellular profile of P2/P1 receptor ligands) may be uniquely organized to favour network excitation. While many mechanistic details remain unresolved, the (partial) recovery of the HVR in unanaesthetized CB-denervated mammals, the hypoxia-evoked release of ATP by brainstem astrocytes and the reduction in the HVR following disruption of astrocytic signalling in the preBötC of awake, CB-intact rodents provide strong evidence that the conventional view of the CB as the only hypoxic respiratory chemosensor should be revisited. Readers are invited to give their views on this and the accompanying CrossTalk articles in this issue by submitting a brief (250 word) comment. Comments may be submitted up to 6 weeks after publication of the article, at which point the discussion will close and the CrossTalk authors will be invited to submit a 'Last Word'. Please email your comment, including a title and a declaration of interest, to jphysiol@physoc.org. Comments will be moderated and accepted comments will be published online only as 'supporting information' to the original debate articles once discussion has closed. Greg Funk received his BSc (Hon) in 1985 and PhD in Zoology in 1990 at the University of British Columbia in Vancouver with Drs W. K. Milsom and J. D. Steeves and postdoctoral training with Dr J. L. Feldman at UCLA (1994). He spent 9 years as Lecturer/Sr Lecturer in the Department of Physiology, University of Auckland, New Zealand, before returning to Canada in 2003. He is currently professor in the Department of Physiology at the University of Alberta (Edmonton, Canada) and Honorary Professor in the Department of Physiology at the University of Auckland (New Zealand), Chair of the American Physiological Society Respiration Section and Editor for The Journal of Physiology and Frontiers in Physiology. His main research interests are in the neuronal and glial modulation of motor control systems, specifically in the context of networks that control breathing. Alexander Gourine is currently a Wellcome Trust Senior Research Fellow and Professor of Physiology within the Department of Neuroscience, Physiology and Pharmacology, University College London (UCL). He obtained his PhD in the Russian Academy of Medical Sciences (Moscow), received postdoctoral training in the US and the UK and joined the UCL Physiology Department in 2006 as Wellcome Trust Senior Research Fellow. He was awarded the Physiological Society's Wellcome Trust Prize in the year 2004 for his contribution to understanding the mechanisms underlying chemosensory control of breathing. His research focuses on central nervous mechanisms of cardiovascular and respiratory control and mechanisms underlying metabolic control of cerebral blood flow. Disclaimer: Supplementary materials have been peer-reviewed but not copyedited. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. None declared.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,016 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».