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Record W4200513228 · doi:10.1113/jp282427

Nitric oxide contributes to cerebrovascular shear‐mediated dilatation but not steady‐state cerebrovascular reactivity to carbon dioxide

2021· article· en· W4200513228 on OpenAlexaff
Ryan L. Hoiland, Hannah G. Caldwell, Jay M. J. R. Carr, Connor A. Howe, Benjamin S. Stacey, Tony G. Dawkins, Denis J. Wakeham, Joshua C. Tremblay, Michael M. Tymko, Alexander Patrician, Kurt J. Smith, Mypinder S. Sekhon, David B. MacLeod, Daniel J. Green, Damian M. Bailey, Philip N. Ainslie

Bibliographic record

VenueThe Journal of Physiology · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsUniversity of VictoriaUniversity of AlbertaUniversity of British ColumbiaInternational Collaboration On Repair DiscoveriesVancouver General HospitalOkanagan University CollegeUniversity of British Columbia, Okanagan Campus
FundersHigher Education Funding Council for Wales
KeywordsOmega-N-MethylarginineCerebral blood flowTranscranial DopplerAnesthesiaSalineMiddle cerebral arteryNitric oxideNitric oxide synthaseMedicineChemistryCardiologyInternal medicineIschemia

Abstract

fetched live from OpenAlex

Abstract Cerebrovascular CO 2 reactivity (CVR) is often considered a bioassay of cerebrovascular endothelial function. We recently introduced a test of cerebral shear‐mediated dilatation (cSMD) that may better reflect endothelial function. We aimed to determine the nitric oxide (NO)‐dependency of CVR and cSMD. Eleven volunteers underwent a steady‐state CVR test and transient CO 2 test of cSMD during intravenous infusion of the NO synthase inhibitor N G ‐monomethyl‐ l ‐arginine ( l ‐NMMA) or volume‐matched saline (placebo; single‐blinded and counter‐balanced). We measured cerebral blood flow (CBF; duplex ultrasound), intra‐arterial blood pressure and . Paired arterial and jugular venous blood sampling allowed for the determination of trans‐cerebral NO 2 − exchange (ozone‐based chemiluminescence). l ‐NMMA reduced arterial NO 2 − by ∼25% versus saline (74.3 ± 39.9 vs . 98.1 ± 34.2 nM; P = 0.03). The steady‐state CVR (20.1 ± 11.6 nM/min at baseline vs . 3.2 ± 16.7 nM/min at +9 mmHg ; P = 0.017) and transient cSMD tests (3.4 ± 5.9 nM/min at baseline vs . −1.8 ± 8.2 nM/min at 120 s post‐CO 2 ; P = 0.044) shifted trans‐cerebral NO 2 − exchange towards a greater net release (a negative value indicates release). Although this trans‐cerebral NO 2 − release was abolished by l ‐NMMA, CVR did not differ between the saline and l ‐NMMA trials (57.2 ± 14.6 vs . 54.1 ± 12.1 ml/min/mmHg; P = 0.49), nor did l ‐NMMA impact peak internal carotid artery dilatation during the steady‐state CVR test (6.2 ± 4.5 vs . 6.2 ± 5.0% dilatation; P = 0.960). However, l ‐NMMA reduced cSMD by ∼37% compared to saline (2.91 ± 1.38 vs . 4.65 ± 2.50%; P = 0.009). Our findings indicate that NO is not an obligatory regulator of steady‐state CVR. Further, our novel transient CO 2 test of cSMD is largely NO‐dependent and provides an in vivo bioassay of NO‐mediated cerebrovascular function in humans. image Key points Emerging evidence indicates that a transient CO 2 stimulus elicits shear‐mediated dilatation of the internal carotid artery, termed cerebral shear‐mediated dilatation. Whether or not cerebrovascular reactivity to a steady‐state CO 2 stimulus is NO‐dependent remains unclear in humans. During both a steady‐state cerebrovascular reactivity test and a transient CO 2 test of cerebral shear‐mediated dilatation, trans‐cerebral nitrite exchange shifted towards a net release indicating cerebrovascular NO production; this response was not evident following intravenous infusion of the non‐selective NO synthase inhibitor N G ‐monomethyl‐ l ‐arginine. NO synthase blockade did not alter cerebrovascular reactivity in the steady‐state CO 2 test; however, cerebral shear‐mediated dilatation following a transient CO 2 stimulus was reduced by ∼37% following intravenous infusion of N G ‐monomethyl‐ l ‐arginine. NO is not obligatory for cerebrovascular reactivity to CO 2 , but is a key contributor to cerebral shear‐mediated dilatation.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.793
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.264
Teacher spread0.251 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations38
Published2021
Admission routes1
Has abstractyes

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