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Record W2743729323 · doi:10.1113/jp274743

Adenosine and dopamine oppositely modulate a hyperpolarization‐activated current <i>I</i><sub>h</sub> in chemosensory neurons of the rat carotid body in co‐culture

2017· article· en· W2743729323 on OpenAlexafffund
Min Zhang, Cathy Vollmer, Colin A. Nurse

Bibliographic record

VenueThe Journal of Physiology · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health Research
KeywordsCarotid bodyAdenosineHyperpolarization (physics)ChemoreceptorAdenosine receptorNeuroscienceDopamineBiologyNeurotransmissionChemistryPurinergic signallingInternal medicineDepolarizationElectrophysiologyEndocrinologyReceptorBiophysicsBiochemistryMedicineAgonistStereochemistry

Abstract

fetched live from OpenAlex

Key points Adenosine and dopamine (DA) are neuromodulators in the carotid body (CB) chemoafferent pathway, but their mechanisms of action are incompletely understood. Using functional co‐cultures of rat CB chemoreceptor (type I) cells and sensory petrosal neurons (PNs), we show that adenosine enhanced a hyperpolarization‐activated cation current Ih in chemosensory PNs via A2a receptors, whereas DA had the opposite effect via D2 receptors. Adenosine caused a depolarizing shift in the Ih activation curve and increased firing frequency, whereas DA caused a hyperpolarizing shift in the curve and decreased firing frequency. Acute hypoxia and isohydric hypercapnia depolarized type I cells concomitant with increased excitation of adjacent PNs; the A2a receptor blocker SCH58261 inhibited both type I and PN responses during hypoxia, but only the PN response during isohydric hypercapnia. We propose that adenosine and DA control firing frequency in chemosensory PNs via their opposing actions on Ih. Abstract Adenosine and dopamine (DA) act as neurotransmitters or neuromodulators at the carotid body (CB) chemosensory synapse, but their mechanisms of action are not fully understood. Using a functional co‐culture model of rat CB chemoreceptor (type I) cell clusters and juxtaposed afferent petrosal neurons (PNs), we tested the hypothesis that adenosine and DA act postsynaptically to modulate a hyperpolarization‐activated, cyclic nucleotide‐gated (HCN) cation current (Ih). In whole‐cell recordings from hypoxia‐responsive PNs, cAMP mimetics enhanced Ih whereas the HCN blocker ZD7288 (2 μm) reversibly inhibited Ih. Adenosine caused a potentiation of Ih (EC50 ∼ 35 nm) that was sensitive to the A2a blocker SCH58261 (5 nm), and an ∼16 mV depolarizing shift in V½ for voltage dependence of Ih activation. By contrast, DA (10 μm) caused an inhibition of Ih that was sensitive to the D2 blocker sulpiride (1–10 μm), and an ∼11 mV hyperpolarizing shift in V½. Sulpiride potentiated Ih in neurons adjacent to, but not distant from, type I cell clusters. DA also decreased PN action potential frequency whereas adenosine had the opposite effect. During simultaneous paired recordings, SCH58261 inhibited both the presynaptic hypoxia‐induced receptor potential in type I cells and the postsynaptic PN response. By contrast, SCH58261 inhibited only the postsynaptic PN response induced by isohydric hypercapnia. Confocal immunofluorescence confirmed the localization of HCN4 subunits in tyrosine hydroxylase‐positive chemoafferent neurons in tissue sections of rat petrosal ganglia. These data suggest that adenosine and DA, acting through A2a and D2 receptors respectively, regulate PN excitability via their opposing actions on Ih.

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 score0.003
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 head0.029
GPT teacher head0.280
Teacher spread0.250 · 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

Citations35
Published2017
Admission routes2
Has abstractyes

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