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Huff and Puff or Shut'er Down: Hypoxia‐Tolerant Mammals Respond Differently to Low Oxygen

2015· article· en· W2548578028 on OpenAlexaff
Yvonne A. Dzal, Matthew E. Pamenter, Paul A. Faure, William K. Milsom

Bibliographic record

VenueThe FASEB Journal · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsMcMaster UniversityUniversity of British Columbia
Fundersnot available
KeywordsHypoxia (environmental)OxygenMoleVentilation (architecture)BiologyAnimal scienceInternal medicineEcologyChemistryBiochemistryMedicine

Abstract

fetched live from OpenAlex

Unlike most mammals, ground squirrels ( Ictidomys tridecemlineatus ), mole rats ( Heterocephalus glaber ), and bats ( Eptesicus fuscus ) are exceptionally tolerant of low oxygen (i.e. hypoxia). Unfortunately, the basis of this tolerance is not well understood. To elucidate the underlying mechanisms these animals use to match oxygen supply to demand under hypoxic conditions, we exposed animals to progressive reductions in inspired oxygen (21, 12, 9, 7, and 5% O 2 ) at an ambient temperature within their thermoneutral zone, and measured their metabolic, thermoregulatory, and ventilatory responses. Severe hypoxia (5% O 2 ) led to a profound depression in oxygen demand in mole rats (>85%), and bats (>65%), driven by a reduction in metabolism independent of decreases in body temperature. Mole rats and bats met these reduced demands with a combination of reductions in ventilation (45% and 20%, respectively) and increases in the amount of oxygen extracted per breath (40% and 25%, respectively). Unlike mole rats and bats, ground squirrels did not reduce oxygen demand or body temperature in hypoxia; instead they increased oxygen supply through an increase in ventilation (>250%) with no change in the amount of oxygen extracted per breath. Our results suggest that while ground squirrels match oxygen supply to demand in severe hypoxia by a brisk ventilatory response, mole rats and bats do so by reducing metabolic demands, indicating that these species employ divergent strategies to tolerate 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 score0.005

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 integrity0.0000.001
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 head0.025
GPT teacher head0.263
Teacher spread0.238 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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