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HIF‐1 plays a key signaling role in physiological responses to acute hypoxia in the African naked mole rat, Heterocephalus glaber

2017· article· en· W4389023740 on OpenAlexafffundabout
Matthew E. Pamenter

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDownregulation and upregulationHypoxia (environmental)Transcription factorMoleBiologyHypoxic ventilatory responseCell biologySignal transductionHypoxia-inducible factorsEndocrinologyInternal medicineOxygenChemistryRespiratory systemGeneBiochemistryAnatomyMedicine

Abstract

fetched live from OpenAlex

Naked mole rats are among the most hypoxia‐tolerant mammals identified. This tolerance is partially achieved by their ability to coordinately reduce metabolic and ventilatory rates by > 85% in acute hypoxia. Our understanding of the physiological mechanisms that enable their hypoxia‐tolerance is improving; however, the cellular mechanisms that mediate these responses remain poorly understood. Hypoxia‐inducible factor‐1α (HIF‐1α) is a transcription factor that is central to hypoxic signaling at the cellular level. In most mammals, HIF‐1α is degraded in normoxia but is stabilized when oxygen levels are reduced. Stabilization of HIF‐1α leads to upregulation of a multitude of genes that promote survival in hypoxia. A recent analysis of the naked mole rat genome revealed several mutations to HIF‐1α. These mutations are predicted to prevent HIF‐1α degradation during normoxia, which would chronically upregulate HIF‐1α‐mediated signaling pathways. We hypothesized that endogenous activation of HIF‐1α‐mediated signaling contributes to the remarkable hypoxia‐tolerance of naked mole rats by modulating their metabolic rate. To test our hypothesis, we used pharmacological tools to manipulate HIF‐1α expression in naked mole rats and mice and measured metabolic and ventilatory responses to an acute hypoxic challenge (7% O 2 for 1hr) in awake and unrestrained subjects using plethysmography and respirometry. Pharmacological manipulation of HIF‐1α expression was confirmed by measuring changes in the expression of several downstream gene targets of HIF‐1α. In naked mole rats, blocking HIF‐1α had only minor effects on ventilation but drastically blunted the hypoxic metabolic response. As a result, the naked mole rat air convection requirement (ACR) increased 2‐fold in normoxia and 3‐fold in hypoxia, indicating that naked mole rats were hyperventilating and thus less tolerant of hypoxic stress. Conversely, activating HIF‐1α in mice reduced ventilation and metabolic rate in both normoxia and hypoxia and also reduced the hypoxic increase in the murine ACR, indicating that HIF‐1α‐agonist‐treated mice were more tolerant of hypoxic stress. We conclude that endogenous upregulation of HIF‐1α signaling contributes to the hypoxia‐tolerance of naked mole rats, and we demonstrate that this mechanism can be translated to hypoxia‐intolerant mice to induce a hypoxia‐tolerant phenotype. Support or Funding Information Natural Sciences and Engineering Research Council of Canada, Canada Research Chairs Program, Parker B Francis Foundation

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 integrity0.0000.001
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 head0.033
GPT teacher head0.262
Teacher spread0.229 · 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

Citations1
Published2017
Admission routes3
Has abstractyes

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