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Record W4413005104 · doi:10.1113/jp288822

Ventilatory and cerebrovascular responses to exercise in lowlander children acclimatizing to high‐altitude

2025· article· en· W4413005104 on OpenAlexafffund
Jodie L. Koep, Mathew G. Rieger, Kurt J. Smith, Gregory R. duManoir, Christine M. Tallon, Dean R. Perkins, Sebastian Piombo, Mike Stembridge, D. M. Cooper, Shlomit Radom‐Aizik, Philip N. Ainslie, Alison M. McManus

Bibliographic record

VenueThe Journal of Physiology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsUniversity of VictoriaUniversity of British ColumbiaInterior Health
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEffects of high altitude on humansAltitude (triangle)MedicineMiddle cerebral arterySea levelPulse oximetryHypobaric chamberOxygen saturationVentilation (architecture)Internal medicineCardiologyAnesthesiaOxygenChemistryMeteorology

Abstract

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Abstract Maturational differences in chemoreception and cerebral blood flow are evident at sea‐level, yet the age‐related comparisons in cardiopulmonary and cerebrovascular responses to high‐altitude exercise are unknown. Lowland living children (n = 8: 7–14 years) and adults (n = 10: 23–44 years) performed incremental cycle exercise to exhaustion at sea‐level and following 6 days at 3800 m. Ventilation (VE), end‐tidal carbon dioxide () and pulse oximetry estimation of oxygen saturation (), as well as cerebrovascular measures of middle (MCA) and posterior (PCA) cerebral artery velocities (v) were measured at rest and throughout exercise. At high‐altitude, both children and adults showed comparable increases in VE and reductions in and at rest (altitude: P < 0.001, group: P ≥ 0.22). During exercise, VE increased at high‐altitude compared to sea‐level (P < 0.001), with no significant group differences (P = 0.134). Adults exhibited greater elevations in at sea‐level compared to children (P = 0.023), but no significant group differences were present at high‐altitude (P = 0.144). reductions during high‐altitude exercise were greater in adults than in children (80.4 ± 4.4% versus 85.8 ± 3.5%, P = 0.002), with both groups showing significant declines from sea‐level (P < 0.001). No group differences in exercise induced changes in MCAv (P = 0.159) or PCAv (P = 0.674) were present at sea‐level, but at high‐altitude, children displayed greater MCAv (82.8 ± 9.7 versus 71.6 ± 7.8 cm s−1, P = 0.014) and PCAv responses versus adults (61.8 ± 8.1 versus 46.7 ± 10.0 cm s−1, P = 0.001). Exposure to high‐altitude resulted in a greater cerebral blood velocity response during exercise in children, despite a greater preservation of oxygenation and a comparable degree of hypocapnia, suggesting differential thresholds of O2 and CO2 prioritization. image Key points Children and adults exhibit distinct ventilatory and cerebrovascular responses to exercise, which may influence their acclimatization to high‐altitude environments. Children (ages 7–14 years) and adults (ages 23–44 years) were brought from sea‐level to high‐altitude (3800 m), where changes in cardiopulmonary and cerebrovascular responses were assessed during incremental exercise. At high‐altitude, both groups showed comparable increases in ventilation and similar levels of hypocapnia. However, children showed a lower magnitude of peripheral oxygen desaturation during high‐altitude exercise. Despite better preservation of oxygenation, children showed a greater increase in cerebral blood velocity during exercise, suggesting an increased prioritization of oxygen delivery to the brain. These results improve our understanding of the age‐related differences in cerebrovascular sensitivity during exercise at sea‐level and high‐altitude, indicating a dominance of hypoxic vasodilatation and reduced sensitivity to endogenous carbon dioxide during exercise.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.006
GPT teacher head0.256
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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Citations0
Published2025
Admission routes2
Has abstractyes

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