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Enregistrement W3014372163 · doi:10.1113/jp279806

One and one is not always two: hypo‐ and hyper‐additive effects of the chemoreflex during exercise

2020· letter· en· W3014372163 sur OpenAlexaff
A. William Sheel, Carli M. Peters

Notice bibliographique

RevueThe Journal of Physiology · 2020
Typeletter
Langueen
DomaineMedicine
ThématiqueHeart Rate Variability and Autonomic Control
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésBaroreflexReflexBlood pressureAutonomic nervous systemHemodynamicsSympathetic nervous systemMedicineNeuroscienceCardiologyHeart ratePsychologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

The physiological sciences are focused on complex systems, and models are generated to make sense of what is known and what requires further attention. With advances in the study of a given problem, new components are incorporated into existing models and other disproven components are removed. Dr George Box, a British statistician, is credited with the following: ‘All models are wrong but some models are useful.’ With remarkable clarity and brevity, this colourful expression emphasizes the need for a cautionary approach to interpreting models across most scientific fields. Nowhere is this sentiment more applicable than the myriad of models used to understand human cardiovascular and respiratory control during exercise where conflicting and contradictory conclusions can be drawn depending upon what is, and what isn't, included in a physiological model. To meet the metabolic demands of working muscle during exercise, a number of cardiovascular and haemodynamic adjustments are required, which are largely governed by alterations in the sympathetic and parasympathetic branches of the autonomic nervous system. In general terms (i.e. a simplified model), the adjustments are brought about by central command, the exercise pressor reflex (EPR), the arterial baroreflex and the cardiopulmonary baroreflex. Recent work has added to the model by demonstrating that the chemoreflex (CR) via the arterial chemoreceptors makes an important contribution to the feedback sympathetic control of skeletal muscle blood flow during exercise (Stickland et al. 2011). Specifically, stimulation of the O2-sensitive arterial chemoreceptors increases sympathetic outflow, mean arterial pressure, and vascular resistance during exercise and restricts blood flow to active skeletal muscle. In this issue of the Journal, Wan et al. (2020) have provided an important advance to the model of cardiovascular control and have exceeded the ‘useful’ designation in fine form! Their careful and clever approach has provided new information about how the EPR and CR interact during exercise and exert influences on cardiovascular regulation. Submaximal one-legged knee extension, used as a model of exercise, was performed by healthy young male and female participants. The six experimental conditions consisted of control trials or manipulation of EPR by lumbar intrathecal fentanyl to attenuate group III/IV afferent feedback from the working leg. To assess the CR contribution, the trials were performed while (i) breathing normoxia (control inspirate), (ii) normocapnic hypoxia (to modulate the O2-CR), and (iii) normoxic hypercapnia (to modulate the CO2-CR). By systematically altering the EPR and CR, it was possible to make conclusions regarding the individual and interactive effects of the EPR and CR reflexes. Activation and attenuation of the EPR during normoxic exercise elicited the expected cardiac and vascular responses. Co-activation of the EPR and the O2-CR resulted in increases in mean arterial pressure and heart rate that were larger than the summation of the individual reflexes (i.e. a hyper-additive interaction). The leg blood flow and conductance values were lower during EPR:O2-CR co-activation relative to the sum of the responses of each reflex (i.e. a hypo-additive interaction). Co-activation of the EPR:CO2-CR elicited a simple addition of the haemodynamic response evoked by each reflex in isolation. The authors interpreted these observations to mean that in exercising humans the type of CR will dictate the magnitude of the EPR:CR interaction and the corresponding cardiovascular changes. There is accumulating evidence to show that the CR plays an important role in cardiovascular control during exercise in health (Stickland et al. 2011; Wan et al. 2020). It should now be clear that the activation of the CR, along with the type of activation, should be considered within a ‘useful’ model of cardiovascular control during dynamic exercise. Under what ‘naturally occurring’ circumstances might the EPR:CR interaction be relevant to the human performing dynamic exercise? Chronic heart failure (CHF) is characterized by exercise intolerance and both human and experimental animal models have shown the independent effects of an altered EPR and CR. First, during exercise in CHF there is an increased reliance on glycolytic vs. oxidative metabolism along with alterations in muscle fibre type and mitochondrial function. The fast depletion of high-energy phosphates and early onset of acidosis causes stimulation of type III/IV afferent fibres within working skeletal muscle leading to a triggering of the EPR and sympathetic overactivation. As suggested elsewhere (Ponikowski et al. 2001), stimulation of the EPR in CHF is likely to be important in the origin of the symptoms limiting exercise as well as in the progression of the disease. Second, there is a growing appreciation that the sensitivity of the carotid chemoreceptors (CCs) is increased in CHF both at rest and during exercise and contributes to increased sympathetic activity. It is important to recognize that while the CCs are sensitive to changes in O2 they are also sensitive to several other metabolites produced with exercise. As such, increases in exercise-induced metabolite production in CHF may be ‘sensed’ by the CCs and in turn contribute to a greater sympathetic vasoconstrictor activity and sympathetic restraint of blood flow. Physical training is a cornerstone of patient management and unravelling the complexities of EPR:CR interactions may lead to more specific and effective exercise interventions and rehabilitation strategies for CHF patients (Marcus et al. 2015), although much additional work is required. The work of Wan et al. (2020) demonstrates the importance of including chemoreceptors when creating a framework to understand the physiological adjustments to exercise. Their work highlights the need to appreciate the integrative nature of whole-body exercise in healthy humans as well as other states such as CHF and metabolic disorders (Limberg, 2018). The authors have no conflicts of interests related to this paper. AWS and CMP conceptualized and designed the work. All authors have read and approved the final version of this manuscript and agree to be accountable for all aspects of the work. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed. None.

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)0,005
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut 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: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,013
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,005
Communication savante0,0030,004
Science ouverte0,0020,003
Intégrité de la recherche0,0030,007
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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 Opus0,016
Tête enseignante GPT0,236
Écart entre enseignants0,220 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

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