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Postnatal Development of the Purinergic Signaling System in the preBötzinger Complex; Implications for the Hypoxic Ventilatory Response

2022· article· en· W4225373752 on OpenAlexafffund
Robert Reklow, Tristan Sinnatamby, Daniel B. Zoccal, Alexander Toohey, Megan A Hansen, Sara M. Frangos, Detlev Boison, Gregory D. Funk

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsWomen and Children’s Health Research InstituteUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchWomen and Children's Health Research Institute
KeywordsPurinergic receptorNeuroscienceBiologyCell biology

Abstract

fetched live from OpenAlex

The hypoxic ventilatory response (HVR) comprises a carotid body‐mediated increase in ventilation followed by a secondary, CNS‐mediated decrease, the hypoxic respiratory depression (HRD), that is larger and potentially life‐threatening in newborn mammals. The mechanisms responsible for the greater HRD in newborns are unknown, but purinergic signaling via P2 and P1 receptor (R) mechanisms helps shape this 2° phase. Shortly after the 1° increase in ventilation, astrocytes release ATP in the preBötzinger Complex (preBötC, site of inspiratory rhythm generation), which stimulates breathing via P2Y1Rs and attenuates the HRD. Extracellular ATP (ATPe) is degraded to adenosine (ADOe), which inhibits breathing and is implicated in the HRD. Thus, the impact of ATP on the HVR is determined by the balance between the actions of ATP and ADOe, that could change developmentally and contribute to the greater HRD of newborns. Our goal was to characterize how the many factors that determine the balance between ATP and ADOe signaling change during development, including: P2Y1Rs; ADO A1Rs; ectonucleotidases (ECTOs) that degrade ATPe to ADOe; ADOe clearance by equilibrative nucleoside transporters (ENTs) via transmembrane transport of ADO down its concentration gradient; and ADO kinase (ADK), which is not mature in the cortex until postnatal day (P) 14, but facilitates ADOe clearance by converting ADOi into AMP so that ADOi i) The frequency (freq) increase evoked by ATP in the preBötC doubled between P0‐6 and P9‐12, but the P2Y1R agonist MRS 2365‐evoked increase did not change. The A1R inhibition of freq was of similar magnitude but greater duration at P0‐6 compared to P9‐12. ii) ECTO activity, assessed by incubating preBötC tissue in ATP and measuring PO4, was greater at P9‐12. iii) The ADO freq inhibition was 2‐fold longer in ENT knockout mice compared to WT mice at all ages. ADK inhibition (ABT 702) inhibited baseline freq only at P9‐12. iv) Knockout of ENTs blunted the freq response to hypoxia (10% O2) in vivo, but increased the VT response at all ages. Introduction of constitutively active ADK into the brain produced P0‐2 ADKtg mice that responded to hypoxia with an adult‐like, sustained increase in VE/VO2; P0‐2 WT C57BL6 did not respond to hypoxia. This difference disappeared by P6‐8. Surprisingly, the mature HVR of P0‐2 ADKtg mice reflected a greater hypoxic depression of VO2, not a greater increase in VE. Data suggest preBötC sensitivity to P2Y1 and A1Rs does not change, while ECTO activity increases developmentally. ADO actions are prolonged in P0‐6 mice, suggesting that ADOe clearance mechanisms mature postnatally. ENTs appear to play a similar role from birth, which may involve clearing ADOe from the preBötC during hypoxia. ADK maturation also appears important in the development of an adaptive HVR. However, the role of ADK in modulating VE vs metabolic responses to hypoxia remains to be elucidated.

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 communication0.0010.001
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 head0.082
GPT teacher head0.293
Teacher spread0.212 · 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
Published2022
Admission routes2
Has abstractyes

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