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Developmental Changes in the Role of Adenosine Clearance Mechanisms in Modulating the Activity of the preBötzinger Complex Inspiratory Network Under Basal and Hypoxic Conditions

2019· article· en· W3175060499 on OpenAlexafffundabout
Robert Reklow, Tucaauê S. Alvares, Sara M. Frangos, Megan A Hansen, Gregory D. Funk

Bibliographic record

VenueThe FASEB Journal · 2019
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 ResearchAlberta Innovates - Health SolutionsWomen and Children's Health Research Institute
KeywordsAdenosineHypoxia (environmental)Hypoxic ventilatory responseCarotid bodyRespiratory systemApneaInternal medicineEndocrinologyBiologyChemistryMedicineOxygenElectrophysiology

Abstract

fetched live from OpenAlex

Exposure to low oxygen (hypoxia) evokes a biphasic hypoxic ventilatory response (HVR) characterized by a carotid‐body‐mediated increase in ventilation followed by a centrally‐mediated secondary hypoxic respiratory depression (HRD). The HRD is strongest and life‐threatening in premature infants (e.g., Apnea of Prematurity). Purinergic signaling plays a prominent role in shaping the HVR; hypoxia evokes release of ATP from astrocytes in the preBötzinger Complex (preBötC, key site of inspiratory rhythm generation), which increases breathing and attenuates the HRD. However, ATP is metabolized into adenosine (ADO), which inhibits the preBötC and is implicated in the HRD. Thus, the net effect of ATP in the preBötC during hypoxia is determined by the balance between the actions of ATP and ADO. The objective of this study is to determine during development how mechanisms important in clearing extracellular ADO (ADOe) influence preBötC activity and the HVR. First, we focused on equilibrative nucleoside transporters (ENTs) that passively move ADO across cell membranes down its concentration gradient. We compared the HVR (10 min 10% O 2 ) of WT and ENT1/2 double KO mice (P0–3, P6–8, and P12–14) using whole‐body plethysmography. The HRD of ENT KO mice was significantly greater compared to WT mice at all ages, reflecting greater reductions in breathing frequency and a likely role for ENTs in removing ADOe during hypoxia. We then applied the ENT inhibitor NBMPR (100 μM) to the solution bathing rhythmic, preBötC‐containing medullary slices from neonatal mice to directly assess the influence of ENTs on basal preBötC rhythm. A significant, NBMPR‐mediated, 16% ± 7% (n=5) increase in frequency suggests that ENTs elevate basal ADOe tone, causing a modest reduction in frequency. In contrast, the reduction in inspiratory frequency evoked by injecting ADOe into the preBötC (to simulate a high ADOe load as may occur in hypoxia) was almost 2‐fold greater in slices from ENT1/2 KO compared to WT mice; i.e., under high load, ENTs appear to clear ADOe. We next examined ADO kinase (ADK), an enzyme that converts ADO into AMP, lowering intracellular ADO levels and facilitating clearance of ADOe by ENTs. Inhibition of ADK with ABT‐702 (10 μM) produced an adenosine‐mediated (i.e., the effect was reversed with the A1R antagonist, DPCPX, 100 nM) decrease in the baseline frequency of rhythmic medullary slices that was 16% ± 2% (n=7) at P0–2 and 24% ± 5% (n=8) by P9–11. In summary, these data suggest that under basal conditions ENTs and ADK are important in controlling ADOe tone, and that under conditions of high ADOe load, as produced here via local injection of ADO in vitro or hypoxia in vivo , ENTs and ADK become important in clearing ADOe, which increases ventilation. Finally, the observation in vitro that ADK activity in the preBötC appears to increase during development raises the intriguing possibility that the greater HRD of premature infants is due, at least in part, to an immature system for clearing ADOe. Support or Funding Information CIHR, NSERC, WCHRI, AIHS, CFI, Alberta Lung Association This abstract is from the Experimental Biology 2019 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: Bench or experimental · Consensus signal: Bench or experimental
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
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.039
GPT teacher head0.257
Teacher spread0.218 · 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
Published2019
Admission routes3
Has abstractyes

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