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Reactive Oxygen Species Signaling in the Hypoxia‐Tolerant Turtle and Goldfish Stellate and Pyramidal Neurons Is Species Specific

2017· article· en· W4389023696 on OpenAlexaffabout
Les Buck, Nariman Hossien‐Javaheri, Varshinie Pillai, Peter John Hawrysh

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsStem Cell NetworkUniversity of Toronto
Fundersnot available
KeywordsReactive oxygen speciesHypoxia (environmental)Turtle (robot)BiologyAnatomyCell biologyChemistryOxygenEcology

Abstract

fetched live from OpenAlex

The majority of vertebrate species are not hypoxia‐tolerant; however, some freshwater turtles and fish from the carp family are tolerant of extreme hypoxia for days or months. Two examples are the western painted turtle and the goldfish which provide excellent models for the study of hypoxia‐tolerance mechanisms in brain. We have previously shown that severe hypoxia results in a natural decrease in reactive oxygen species (ROS) in turtle brain; therefore, here we investigate in a turtle brain sheet and goldfish brain slice model the response of pyramidal and stellate neurons to scavenging of ROS with MPG (N‐2‐mercaptopropionyl glycine) for comparison to the tissue exposed to severe hypoxia. Using single cell fluorescence we first confirm that ROS levels do indeed decrease with severe hypoxia in goldfish brain slices. Then using whole‐cell and perforated patch clamp techniques and ROS scavenging we find that whole cell conductance (G w ) increases from 4.5 to 6.6nS in both turtle cell types and from 3.96±0.95nS to 6.84±0.62nS in both goldfish cell types. In both cases the increased G w is related to increased GABA‐A receptor conductance since application of the GABA‐A receptor inhibitor gabazine blocks the increase. While goldfish and turtle pyramidal cells remained mostly quiescent the action potential frequency (AP f ) of goldfish stellate neurons increased with ROS scavenging from 0.03±0.009Hz to 2.04±0.12Hz or 68 fold. Turtle stellate neurons exhibited a unique burst firing pattern where AP's are clustered into discrete bursts of about 2 AP's per burst with quiescent periods in between bursts. When exposed to ROS scavenging overall AP f decreased from 0.49 ± 0.14 Hz to 0.33 ± 0.07 Hz but the number of AP's per burst increased from 2.4 ± 0.21 to 3.0 ± 0.12. With ROS scavenging the stellate neuron burst pattern coalesces into a burst every 7–8 s that corresponds with the frequency of giant inhibitory GABAergic current recorded from pyramidal neurons. It remains unclear how these differences in ROS signaling impacts the hypoxia‐tolerance of each species but we conclude that the unique responses of stellate neurons is species specific. Support or Funding Information Natural Sciences and Engineering Council of Canada grant to LTB

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 score0.002
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 integrity0.0000.000
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 head0.040
GPT teacher head0.225
Teacher spread0.185 · 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

Citations2
Published2017
Admission routes2
Has abstractyes

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