MétaCan
Menu
Retour à la cohorte
Enregistrement W2031248936 · doi:10.1113/jphysiol.2011.211292

Integrated human physiology: breathing, blood pressure and blood flow to the brain

2011· article· en· W2031248936 sur OpenAlexaff
Philip N. Ainslie, Kurt J. Smith

Notice bibliographique

RevueThe Journal of Physiology · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueTraumatic Brain Injury and Neurovascular Disturbances
Établissements canadiensUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésCerebral blood flowHypercapniaHypocapniaCerebral perfusion pressureCerebral autoregulationBlood pressureMedicineAnesthesiaHypoxia (environmental)VasoconstrictionCardiologyInternal medicineAutoregulationChemistryAcidosisOxygen

Résumé

récupéré en direct d'OpenAlex

The cerebral vasculature rapidly adapts to changes in perfusion pressure (cerebral autoregulation), regional metabolic requirements of the brain (neurovascular coupling), autonomic neural activity, and humoral factors (cerebrovascular reactivity). Regulation of cerebral blood flow (CBF) is therefore highly controlled and involves a wide spectrum of regulatory mechanisms that together work to maintain optimum oxygen and nutrient supply. It is well-established that the cerebral vasculature is highly sensitive to changes in arterial blood gases, in particular the partial pressure of arterial carbon dioxide (). The teleological relevance of this unique feature of the brain is likely to lie in the need to tightly control brain pH and its related impact on ventilatory control at the level of the central chemoreceptors. Changes in arterial blood gases, in particular those that cause hypoxaemia and hypercapnia, also lead to widespread effects on the systemic vasculature often leading to sympathoexcitation and related blood pressure (BP) elevations via vasoconstriction (Ainslie et al. 2005). In this issue of The Journal of Physiology an elegant study by Battisti-Charbonney and co-workers provide a relevant example of integrative human physiology (Battisti-Charbonney et al. 2011). Using continuous bilateral measurements of blood flow velocity in the middle cerebral arteries (as a surrogate index of CBF) and BP, the authors gauged the CBF responses to CO2 changes under the background condition of either hyperoxia or hypoxia. The key findings indicate that the relationship between CBF velocity over a wide range of end-tidal () values during hypocapnia (: ∼25 mmHg) and hyperoxic or hypoxic rebreathing (: 55–60 mmHg and 45–50 mmHg, respectively) are optimally fitted using a sigmoid (logistic) curve rather than a linear curve. Above the upper limits of CO2 reactivity (i.e. near the threshold (∼55 to 60 mmHg) where CBF velocity has plateaued despite further elevations in ) linear elevations in BP then progressed, presumably via chemoreflex-induced elevations in sympathetic nerve activity (SNA). Notably, the authors are the first to integrate this logistic and linear fitting approach to document the influence of and related changes in mean arterial pressure (MAP) on CBF. Collectively, these experiments demonstrate that rebreathing tests – when analysed as described – may provide an estimate of the cerebrovascular response to CO2 (and O2) at a constant BP, as well as an estimate of the cerebrovascular passive response to both BP and CO2. In the broader context of integrative physiology, these findings are noteworthy on many levels. For example, impairment in cerebrovascular reactivity to CO2 and failure to effectively counter-regulate (or autoregulate) against systemic BP fluctuations could lead to a predisposition to adverse cerebrovascular events such as stroke, infarct extension and haemorrhagic transformation of existing strokes (Aries et al. 2010). However, the critical physiological and methodological consideration is that traditional tests to assess cerebrovascular reactivity to CO2 or cerebrovascular autoregulation treat these factors as separate identities. Clearly they are not: elevations in will lead to sympathoexcitation and increases in BP via vasoconstriction (Ainslie et al. 2005). The latter, as exampled by Battisti-Charbonney and co-workers, will have independent effects on CBF from those of (Lucas et al. 2010). Conversely, emerging evidence indicates that acute changes in BP may then impact on alveolar ventilation and thus , in part via the aptly named ‘ventilatory baroreflex’ (Stewart et al. 2011). Moreover, because the brain is relatively pressure-passive (Lucas et al. 2010) and since elevations in also ‘impair’ the brain's capability to defend against BP changes (Panerai et al. 1999), considerations of BP as a critical determinant of CBF is warranted in these conditions. An example of these integrated changes in and BP occur in a myriad everyday activities: postural change, coughing, laughing, defecation, exercise, sexual activity, to name but a few. The merit of the newly proposed method as a useful clinical tool to explore the separate and combined quantification of the cerebrovascular reactivity to CO2 and BP needs to be established. However, consideration of the combined influence of both and BP on the brain would seem meritorious from a systems physiology viewpoint. In summary, in view of the article by Battisti-Charbonney et al., we have attempted to highlight some of the common factors that independently, synergistically and often antagonistically participate in the regulation of CBF. Research exploring these complex interactions is currently lacking. Future studies with particular focus on these integrative physiological mechanisms are clearly warranted in both health and disease states.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,044

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,003
Communication savante0,0050,003
Science ouverte0,0010,003
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0130,005

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 Opus0,027
Tête enseignante GPT0,261
Écart entre enseignants0,234 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations7
Publié2011
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueThe Journal of PhysiologyMême sujetTraumatic Brain Injury and Neurovascular DisturbancesTravaux en français237 207