Preservation of cerebral vascular and metabolic health with greater cardiorespiratory fitness in coronary artery disease
Notice bibliographique
Résumé
Abstract Background Coronary artery disease (CAD) is the leading cause of cardiovascular-related death globally. Beyond its cardiac consequences, CAD significantly impacts brain health, causing grey matter atrophy, reduced cerebral blood flow (CBF), impaired cerebrovascular reactivity (CVR), and cognitive decline. Recent evidence also highlights altered cerebral metabolism in CAD, characterized by reduced cerebral metabolic rate of oxygen consumption (CMRO₂) and increased oxygen extraction fraction (OEF). Notably, impaired cardiorespiratory fitness, as measured by reduced peak oxygen uptake (VO₂peak), is a hallmark of CAD progression and a strong prognostic marker of cardiovascular and neurological outcomes. Although VO₂peak is associated with brain structural integrity and cognitive function, its relationship to cerebral vascular and metabolic function in CAD patients remains poorly understood. Methods Thirty-seven healthy individuals (age=65.35 ± 8.31) and thirty-five patients with CAD (age=66.42 ± 9.29) participated in this study. The objective was to determine whether higher cardiorespiratory fitness is associated with markers of cerebral health known to be impaired in CAD, in order to assess the potential of exercise as a strategy to mitigate CAD-related brain alterations. Cerebral vascular and metabolic biomarkers, including CBF, CVR, CMRO₂, and OEF, were quantified using calibrated functional magnetic resonance imaging (MRI). Participants also completed a maximal cardiopulmonary exercise test on a bicycle ergometer to determine peak oxygen uptake (VO₂peak). Results Across all participants, VO₂peak was positively associated with CBF (β=0.32, p=0.02), and CVR (β=0.002, p=0.04), in grey matter, confirming a link between aerobic fitness and vascular health across the cardiovascular health spectrum. However, metabolic markers exhibited group-specific patterns. Specifically, in CAD patients, VO₂peak was positively associated with CMRO₂ ( β = 0.08, p = 0.02), suggesting that reduced CMRO₂ in CAD may be partially preserved by greater cardiorespiratory fitness. In contrast, a negative association between VO₂peak and OEF was observed exclusively in healthy controls ( β = −3.6, p = 0.02), consistent with adaptations in healthy aging being primarily driven by improved CBF without changes in CMRO₂. Conclusion This study shows that higher cardiorespiratory fitness is associated with improved cerebral vascular and metabolic function, with distinct patterns observed between healthy individuals and those with CAD. In patients with CAD, greater fitness appears to preserve cerebral oxygen metabolism, while in healthy individuals, fitness is primarily linked to enhanced perfusion. These findings support the role of aerobic exercise as a promising strategy to counteract CAD-related brain alterations, emphasizing the importance of targeting cardiorespiratory fitness in both prevention and rehabilitation settings.
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 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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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 ».