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Thyroid hormone deficiency potentiates GABAergic inhibition of the brainstem respiratory network in newborn rat

2017· article· en· W4389022640 on OpenAlexafffund
A. Rousse, Luana Tenorio, Richard Kinkead

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEndocrinologyInternal medicineBrainstemGABAergicMedicineAgonistRespiratory systemAnesthesiaReceptor

Abstract

fetched live from OpenAlex

Because thyroid hormones (THs) are present in the brainstem and are essential for both the differentiation of the presynaptic GABAergic neurons and the maturation of the postsynaptic components of the GABAergic system, we proposed that TH deficiency during gestation is sufficient to disrupt GABAergic modulation of the brainstem's respiratory network in newborn rats. Thyroid hormone deficiency in the foetus was recreated by administrating an antithyroid susbstance (Methimazole;MMI) in drinking water of the pregnant dam at concentration of 0,02% (weight per volume; w/v) from the first day of pregnancy (gestational day 1; GD1) to the day of experiment with the newborn. In‐vitro measurements were performed on Sprague Dawley rats aged of 4 days. Fictive breathing (in‐vitro) was measured by extracting the brainstem with a part of the spinal cord and placing it in a chamber where it was superfused with an artificial cerebrospinal fluid (aCSF). The output signal from the respiratory network was recorded by a suction electrode placed on the fourth ventral root representing the inspiratory signal sent to the diaphragm via the phrenic nerve. Compared to controls, pups from MMI treated dams showed 69% decreased phrenic burst frequency under baseline conditions (5.5 ± 0.4 vs 8.0 ± 0.4 bursts/min; treatment effect: P=0.0003). Moreover, they presented an increased dose‐dependent depression of fictive breathing following Muscimol application (GABA A receptor agonist) (dose 0.1μM: −27 ± 7.9 vs −7.8 ± 3.4 % change from baseline; treatment effect: P=0.0233) and increased elevation of phrenic burst frequency following Bicuculline exposure (GABA A receptor antagonist) (dose 8μM: 25.4 ± 5.3 vs 5.3 ± 3.9 % change from baseline; treatment effect P=0.0085). This treatment‐dependent augmentation of GABAergic tone did not affect burst amplitude, thus indicating that the role of TH on GABAergic modulation is selective. We conclude that TH deficiency results in an increased GABAergic inhibition in the core elements of the respiratory control circuit which could explain the reduced phrenic bursts frequency observed in the treated pups. These results provide new hypotheses regarding the origins of respiratory disorders of the newborn involving reduced respiratory drive such as apnea of prematurity. Support or Funding Information Supported by NSERC.

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 score0.004
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
Bibliometrics0.0000.000
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 head0.036
GPT teacher head0.264
Teacher spread0.228 · 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
Published2017
Admission routes2
Has abstractyes

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