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Linking red blood cell functional phenotypes to environmental tolerance in high-altitude adapted deer mice

2024· article· en· W4398175503 on OpenAlexaffabout
Till S. Harter, Graham R. Scott

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBiologyPhenotypeBlood cellEffects of high altitude on humansAltitude (triangle)ZoologyEcologyPhysiologyGeneticsGeneAnatomy

Abstract

fetched live from OpenAlex

Oxygen (O2) is essential for vertebrate life, and complex cardio-respiratory systems have evolved to transport the gas from the environment to each individual cell. Even short disruptions of this O2 flux can have deleterious effects that are linked to numerous disease states. Animals that have adapted to hypoxic environments, such as deer mice ( Peromyscus maniculatus) native to high altitude, can provide valuable insight into naturally evolved solutions to O2 deprivation. Previous work has shown that high-altitude deer mice have evolved a higher hemoglobin O2 affnity and other coordinated changes across the O2 transport cascade that enable higher metabolic rates in hypoxia. Red blood cells (RBC) are the functional unit of O2 and carbon dioxide transport in the blood and play central roles in matching O2 supply and demand in the microcirculation by releasing signaling molecules such as ATP and gasotransmitters; but how these cellular mechanisms respond to hypoxic environments has not been studied. We hypothesized that high-altitude adaptation in deer mice has improved the function of RBCs for cardiovascular gas transport in hypoxia. Lab-raised breeding colonies of deer-mice were established from wild mice caught at low altitude (~400 m in the Great Plains of Nebraska) and at high altitude (~4300 m in the Rocky Mountains of Colorado). Using a common-garden experimental design, third-generation deer mice from high- and low-altitude populations were acclimated to warm normoxia (21°C, 21 kPa O2) or cold hypobaric hypoxia (5°C, 12 kPa O2) for 8 weeks. Blood samples were collected for measurements of hematocrit, hemoglobin concentration, RBC volume, plasma erythropoietin concentration, RBC contents of membrane transport and channel proteins (anion exchanger, aquaporin 1 and rhesus associated glycoprotein) by immunocytochemistry and western blotting, and carbonic anhydrase activity using biochemical techniques. The release of ATP from RBCs was measured in tonometers at decreasing levels of O2 by luminometry, and the vascular sensitivity to ATP was determined by wire myography on second-order mesenteric arteries. Finally, bone marrow samples were collected from the femurs to measure gene expression levels in the erythropoietic tissue. Our experimental design allowed us to examine the interactive effects of cold hypoxic environments on RBC phenotype, by untangling environmentally-induced plasticity from the signatures of adaptation that are unique to high-altitude natives. This work is providing a better understanding of how RBC function participates in matching cardiovascular O2 supply and demand in extreme hypoxia, which has important applications in animal and human health. This work was supported by a NSERC Canada Banting Postdoctoral Fellowship to TSH and a Discovery Grant to GRS. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.205
Teacher spread0.199 · 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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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