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Dropping the base: Characterizing the hypercarbia recovery strategies following extreme hypercapnia in the highly CO <sub>2</sub> tolerant hagfish ( <i>Eptatretus stoutii</i> )

2018· article· en· W3173463654 on OpenAlexafffund
Alexander M. Clifford, Alyssa M. Weinrauch, Greg G. Goss

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsBamfield Marine Sciences CentreUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHagfishHypercarbiaHypercapniaChemistryAcidosisAnimal scienceBiologyEndocrinologyBiochemistry

Abstract

fetched live from OpenAlex

As scavengers that feed on decaying carrion ( e.g. fish, large marine mammals), hagfish ( Eptatretus stoutii ) can be subjected to noxious environmental stresses such as high ammonia, anoxia and hypercapnia. While the physiological impacts and the hagfishes' tolerance of these stressors have been well characterized, little data exists on the mechanisms and strategies for recovery from these stressors that would be mandatory in the natural environment. Indeed, hagfish are capable of tolerating extreme hypercapnia (>30 Torr; 72h) by building up plasma [HCO 3 − ] over 24 – 48 h of exposure, attaining the highest plasma [HCO 3 − ] levels ever observed in any organism (~70 mmol HCO 3 − L −1 ). The goal of this study was to characterize the hypercarbia recovery strategies of the highly CO 2 tolerant following hypercapnia exposure. In a series of experiments, hagfish were exposed to hypercapnia (4% CO 2 ) for 48 h to induce hypercarbia before being allowed to recover in normocapnic seawater. During this recovery period, measurements of blood acid/base status, plasma [Cl − ] and net H + /HCO 3 − flux were made to elucidate the recovery strategies of the hagfish. Upon reintroduction into nonromantic conditions, hagfish rapidly (<8h) offloaded the compensatory base load (65.8 ± 2.1 mmol HCO 3 − L −1 ) while sustaining an incredible blood alkalosis of ~0.8 pH units compared to post‐exposure conditions, to a blood pH 8.67 ± 0.03 within 4h of recovery. While increases in both whole‐animal HCO 3 − excretion and glomerular filtration were observed throughout recovery (2–8 h), neither can fully account for the observed rates of whole‐animal HCO 3 − loss, which peaked at ~3.5 mmol kg −1 h −1 . Inhibition of carbonic anhydrase using acetazolamide revealed that restoration of plasma [HCO 3 − ] from hypercapnia‐induced hypercarbia is likely facilitated in a dualistic manner, initially relying on both carbonic anhydrase mediated CO 2 offloading and Cl − /HCO 3 − exchange processes, both of which are likely either upregulated or further activated as recovery progresses. Support or Funding Information NSERC (GGG: 203736) This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.003
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 integrity0.0000.000
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 head0.028
GPT teacher head0.223
Teacher spread0.195 · 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
Published2018
Admission routes2
Has abstractyes

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