MétaCan
Menu
Back to cohort
Record W2593581664 · doi:10.1113/ep086144

Heterogeneous regulation of cerebral blood flow in hypoxia; implications for dynamic cerebral autoregulation and susceptibility to acute mountain sickness

2017· letter· en· W2593581664 on OpenAlexaff
Damian M. Bailey, Shigehiko Ogoh

Bibliographic record

VenueExperimental Physiology · 2017
Typeletter
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsCerebral autoregulationCerebral blood flowMedicineCerebral arteriesMiddle cerebral arteryHypoxia (environmental)CardiologyAutoregulationAnesthesiaBlood flowInternal medicineCerebral circulationIschemiaBlood pressureChemistry

Abstract

fetched live from OpenAlex

The recent publication by Horiuchi et al. (2016) has highlighted a linear reduction in dynamic cerebral autoregulation (dCA) during acute exposure to progressive poikilocapnic normobaric hypoxia (fractional inspired O2 reduced from 21 to 12%) that was associated with increased susceptibility to the neurological syndrome, acute mountain sickness (AMS). Although it is an interesting study justified by the ongoing controversy underlying AMS pathophysiology, it is nonetheless important to acknowledge the experimental limitations when using common carotid artery (CCA) blood flow to interpret changes in dCA metrics given the potential confounding factors associated with the differential vasoregulation of downstream feed arteries, notably the internal (ICA) and external (ECA) carotid arteries. Originating from the bifurcation of the CCA, both arteries feed into distinct vascular territories, with the face, anterior neck and cranium wall supplied by the ECA and cerebral cortex furnished via the ICA through the middle, anterior and posterior cerebral arteries. Indeed, the regional heterogeneity of blood flow is evident during reperfusion-induced hypotension following thigh-cuff occlusion, the experimental manoeuvre selected in the present study to provide the autoregulatory stimulus. We have previously shown this manoeuvre to be characterized by a selective redistribution of blood flow from the ECA to facilitate rapid recovery of ICA flow, which we took to reflect a neuroprotective response given the need to optimize dCA through maintenance of adequate intracranial blood flow, oxygenation and substrate delivery throughout the physiological challenge of hypotension (Ogoh et al. 2014). Furthermore, related research has identified lower metrics for dCA (Ogoh et al. 2014; Smirl et al. 2014) and CO2 vasoreactivity (Sato et al. 2012) in the ECA compared with the ICA, highlighting ‘prioritized’ defense of the intracranial circulation given the need to couple cerebral metabolism with flow at the expense of the ECA vasculature that subserves thermoregulation. The mechanisms underlying these regional differences are likely to be complex, attributable in part to anatomical heterogeneity in microvascular density, tone, autonomic innervation and nitric oxide/K+ channel activity (Ogoh et al. 2014). Regardless, such differences make it difficult to infer reliable changes in dCA during hypocapnic hypoxia without accounting for the differential vasoregulation exhibited by these downstream arteries. This complication may well account for the authors’ previous findings (Subudhi et al. 2015) which, in stark contrast to their present conclusions, failed to support a functional link between impaired dCA and AMS symptomatology despite the use of comparable methodology (thigh-cuff occlusion–reperfusion). On that occasion, dCA metrics were confined more distally to the middle cerebral artery, which is characterized by higher CO2 reactivity compared with the ICA and ECA (Sato et al. 2012). Thus, given the complexities of the underlying physiology, we encourage future investigators to consider these observations to help resolve to what extent, if indeed any at all, impaired dCA can be considered as a sensitive and clinically relevant haemodynamic risk factor for AMS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.948
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.307
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueExperimental PhysiologySame topicTraumatic Brain Injury and Neurovascular DisturbancesFrench-language works237,207