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Record W4415916215 · doi:10.1113/jp289261

Exercise and hypoxia independently stimulate platelet liberation of brain‐derived neurotrophic factor and platelet factor 4

2025· article· en· W4415916215 on OpenAlexafffund
Kate N. Thomas, Hannah G. Caldwell, David B. MacLeod, Wickliffe C. Abraham, Jay M. J. R. Carr, Christopher Gasho, L. Madden Brewster, Christina D. Bruce, Justin A. Monteleone, Jennifer Duffy, Connor A. Howe, Joshua C. Tremblay, Elliott J. Jenkins, Jack S. Talbot, Mike Stembridge, Philip N. Ainslie, Travis D. Gibbons

Bibliographic record

VenueThe Journal of Physiology · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNerve injury and regeneration
Canadian institutionsUniversity of British Columbia, Okanagan Campus
FundersNatural Sciences and Engineering Research Council of CanadaOtago Medical Research FoundationMaurice and Phyllis Paykel Trust
KeywordsPlateletBrain-derived neurotrophic factorHypoxia (environmental)Platelet factor 4Neurotrophic factorsPlatelet activationPhysical exercise

Abstract

fetched live from OpenAlex

Brain-derived neurotrophic factor (BDNF) is an essential mediator of exercise-induced neuroplasticity. The majority of BDNF in circulation (∼99%) is stored bound to platelets. Platelet activation by exercise stimulates the release of their contents, representing a dynamic, bioavailable pool of BDNF. Hypoxia also independently activates platelets; therefore the combination of these stressors provides a unique model to examine the role of platelets in liberating BDNF and to quantify its flux across the brain during exercise. Twelve healthy adults (six women; 28 ± 4 years) performed exercise to exhaustion at sea level (340 m) and after 6-8 days at high altitude (3800 m) in a repeated-measures cross-over design. Simultaneous radial arterial and internal jugular venous blood samples were collected within the last 2 min of maximal exercise to quantify BDNF across the brain, alongside platelet concentration and platelet factor 4 (PF4), another neurogenic factor and a biomarker of platelet activation. At sea level, maximal exercise doubled free BDNF (P < 0.001) with no difference between arterial and venous circulations (P = 0.849). At high altitude, there was a pronounced veno-arterial difference indicating net release of BDNF (P = 0.003), and in addition, exercise caused a similar doubling in free BDNF (P < 0.001). Platelet concentration decreased by a third across the brain with exercise at high altitude (P = 0.002), but not sea level, and PF4 release was strongly correlated with BDNF release (r = 0.61, P < 0.001). Platelet activation across the human brain during exercise and hypoxia liberates BDNF and PF4 and may contribute to the neurotrophic effect of exercise. KEY POINTS: Brain-derived neurotrophic factor (BDNF) is a protein involved in synaptic plasticity and neuronal growth, and it may mediate some of the neuroprotective effects of exercise. The majority of BDNF in circulation is stored bound to platelets, released as free BDNF into the plasma by platelet activation (e.g. by exercise or hypoxia). At sea level, maximal exercise doubled free BDNF to a similar extent between arterial and venous circulations. At high altitude, at rest, a net release of BDNF from the brain was observed (veno-arterial difference), with a similar doubling in free BDNF with maximal exercise. Platelet factor 4, a metric of platelet activation, was correlated with BDNF release, indicating that platelet activation offers an explanation for the increased liberation of BDNF during exercise and hypoxia.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.023
GPT teacher head0.272
Teacher spread0.248 · 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 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
Published2025
Admission routes2
Has abstractyes

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