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Record W1981383967 · doi:10.1055/s-2001-14943

Acute Plasma Volume Expansion in the Untrained Alters the Hormonal Response to Prolonged Moderate-Intensity Exercise

2001· article· en· W1981383967 on OpenAlexaff
Brian D. Roy, H. J. Green, Sabrina Grant, Mark A. Tarnopolsky

Bibliographic record

VenueHormone and Metabolic Research · 2001
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInternal medicineEndocrinologyVasopressinAldosteroneHormoneEndurance trainingEpinephrineNorepinephrineMedicineChemistry

Abstract

fetched live from OpenAlex

To investigate the role of an increase in plasma volume (PV), characteristically observed with short-term endurance training, on the endocrine response to prolonged moderate intensity exercise, eight untrained males (VO2 peak = 3.52 +/- 0.12 l x min(-1)) performed 90 min of cycle ergometry at approximately 60% VO2peak both before (CON) and following (PVX) PV expansion. Acute PV expansion, which was accomplished using a solution of Dextran (6%) or Pentispan (10%) (6.7 ml kg(-1)), resulted in a calculated 15.8+/-2.2% increase (p<0.05) in PV. The prolonged exercise resulted in increases (p<0.05) in plasma vasopressin (AVP), plasma rennin activity (PRA), aldosterone (ALD), atrial naturetic peptide (alpha-ANP), and the catecholamines norepinephrine (NE) and epinephrine (EPI). PVX blunted the increases (p<0.05) in AVP, PRA, ALD, NE and EPI, during the exercise itself. The concentration of alpha-ANP was also lower (p<0.05) during exercise following PVX, an effect that could be attributed to the lower resting levels. No differences in osmolality was observed between conditions. These results demonstrate that PVX alters the fluid regulatory hormonal response in untrained subjects to moderate intensity dynamic exercise in a manner similar to that observed following short-term training induced alterations in PV. The specific mechanisms responsible for these alterations remain unclear, but appear to be related directly to the increase in PV.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.337
Teacher spread0.293 · 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 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".

Quick stats

Citations11
Published2001
Admission routes1
Has abstractyes

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