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Enregistrement W2020626792 · doi:10.1113/jphysiol.2009.182667

Role of SNA in the pathophysiology of cardiovascular collapse during syncope: muscle <i>vs.</i> brain

2009· letter· en· W2020626792 sur OpenAlexaff
Philip N. Ainslie, Chris K. Willie, Yu‐Chieh Tzeng

Notice bibliographique

RevueThe Journal of Physiology · 2009
Typeletter
Langueen
DomaineMedicine
ThématiqueCardiovascular Syncope and Autonomic Disorders
Établissements canadiensUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésPathophysiologyContext (archaeology)Syncope (phonology)MedicineCardiologyCerebral autoregulationEtiologyReflexCerebral blood flowConsciousnessInternal medicineNeurosciencePsychologyBlood pressureAutoregulation

Résumé

récupéré en direct d'OpenAlex

It was with great interest we read the recent findings by Cooke et al. (2009) and related Perspectives article (Joyner, 2009) regarding new insights into the role of efferent sympathetic nerve activity (SNA) in the pathophysiology of cardiovascular collapse during syncope. The authors concluded that abrupt reductions in sympathetic outflow are not an obligatory feature of cardiovascular collapse during syncope or haemorrhage, and that the aetiology of such events has a more complex explanation than merely an ‘empty heart’ and a loss of efferent vasoconstrictor outflow (Cooke et al. 2009). It is well known that syncope refers to a transient loss of consciousness as a result of cerebral hypoperfusion with subsequent spontaneous recovery (Thijs et al. 2004). Therefore, anything that compromises cerebral blood flow (CBF) may jeopardize the ability to maintain consciousness (Van Lieshout et al. 2003). Consequently, brief discussion and synthesis of the new findings by Cooke and colleagues (2009) is warranted, particularly in the context of CBF regulation as the principle underlying cause of syncope. Although the exact pathophysiological mechanisms leading to the occurrence of syncope are still unknown (Hainsworth, 2004), reflex-mediated factors, physical factors, or a combination of these is thought to be involved (Colman et al. 2004). Traditionally, as outlined in Dr Joyner's Perspectives article, it has been thought that syncope is chiefly caused by hypotension produced by decreased systemic vascular resistance (Barcroft & McMichael, 1944; Lewis, 1932). Recently, this concept has evolved to allow for a precipitous fall in cardiac output to be at least equally responsible for the observed hypotension (Verheyden et al. 2008; Thomas et al. 2009). Both the traditional and more recent theories are limited in that they fail to consider that symptoms and loss of consciousness during syncope are fundamentally due to cerebral hypoperfusion. The view that systemic vascular dynamics are predominantly responsible for the occurrence of a syncopal event is limited in three ways. First, because of effective cerebral autoregulation, arterial blood pressure does not necessarily reflect the cerebrovascular phenomena associated with syncope (Van Lieshout et al. 2003). Second, hypotension as the primary cause of syncope fails to consider the well-documented occurrence of hyperventilation preceding syncope (Lagi et al. 2001; Novak et al. 1998). For example, it has been reported that respiratory instability and hypocapnia impair cerebral perfusion during syncope in patients with orthostatic intolerance (Porta et al. 2008); the degree of hypocapnia at the point of syncope seems to be enough to account for ∼50% of the drop in CBF. Third, falls in cardiac output might directly produce a reduction in CBF. Indeed, despite the classical notion that CBF is maintained over a range of blood pressures, it has been established that CBF is also dependent on cardiac output (van Lieshout et al. 2001; Ide et al. 1998; see Secher et al. 2008 for review). The precise extent to which hypocapnia, cardiac output and hypotension contribute to the reduction in CBF during syncope is not known. The intriguing findings by Cooke and colleagues (2009) indicate that muscle SNA (MSNA) remains high in a significant number of subjects at pre-syncope and that the normal pulse synchronous characteristics of sympathetic outflow are lost. Because cerebral hypoperfusion is the critical causal factor in syncope, these new data on systemic MSNA activity raise interesting questions regarding cerebral SNA activity leading up to and at the moment of pre-syncope. If changes in cerebral SNA simply parallel those of MSNA, then the presence of high MSNA during profound orthostasis might be interpreted as an important contributing factor to the development of syncope (Levine et al. 1994); recent advances, however, suggest an inverse relationship between systemic and cerebral SNA. For instance, findings from elegant animal studies (Cassaglia et al. 2008, 2009) that utilized the novel continuous recording of SNA in the superior cervical ganglion suggest there is differential control of regional SNA outflow between the brain and other vascular beds; elevations in skeletal muscle SNA may be reflected in reductions in brain SNA (see Ainslie, 2009 for review). It has been shown in lambs that SNA to cerebral vessels increases with acute hypertension (Cassaglia et al. 2008), but not with hypotension, which supports the hypothesis that cerebral SNA serves to protect the brain from hyper-perfusion, rather than regulating the maintenance of basal cerebrovascular tone. In the context of profound orthostatic stress and syncope, the notion that brain SNA might actually be reduced despite elevations in muscle SNA (and related elevations in peripheral vascular resistance) may represent a critical balance in the differential regulation of SNA that serves to optimize global blood flow to the brain. Clearly, the possibility that the balance between cerebral and muscle SNA are key mediators of orthostatic tolerance warrants future study. To examine this hypothesis, measurements of transcranial plasma noradrenaline spillover (Mitchell et al. 2009), as a method for assessing the SNA of the human cerebral vasculature, combined with muscle SNA, would provide mechanistic insight into the potential differential role of SNA in the pathophysiology of syncope and haemorrhage.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,728
Score d'incertitude au seuil0,743

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,006
Tête enseignante GPT0,208
Écart entre enseignants0,202 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2009
Routes d'admission1
Résumé présentoui

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Même revueThe Journal of PhysiologyMême sujetCardiovascular Syncope and Autonomic DisordersTravaux en français237 207