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Amyloid ? peptides mediate physiological remodelling of the acute O sensitivity of adrenomedullary chromaffin cells following chronic hypoxia

2004· article· en· W2054750915 on OpenAlexaff
Steven Brown, R JOHNSON, Rhandi Senaratne, Ian M. Fearon

Bibliographic record

VenueCardiovascular Research · 2004
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHypoxia (environmental)EndocrinologyInternal medicineChromaffin cellChemistryAmyloid (mycology)MedicineAdrenal medullaPathologyCatecholamineOxygen

Abstract

fetched live from OpenAlex

OBJECTIVE: The non-neurogenic response of the neonatal adrenal medulla is vital in cardiovascular and respiratory development and to the survival of newborns exposed to hypoxic stress. Here, we examined the acute hypoxic response of immortalised rat adrenomedullary chromaffin cells following exposure to chronic hypoxia (CH; 6% O(2) for 24 h). METHODS: Ca(2+) and K(+) channel currents were recorded using by whole-cell patch-clamp. RESULTS: Following incubation in CH, the acute O(2) sensitivity of K(+) current in immortalised adrenomedullary chromaffin (MAH) cells was enhanced due to a selective increase in the density of an O(2)-sensitive Ca(2+)-dependent K(+) current, secondary to ROS-mediated augmentation of voltage-gated Ca(2+) currents. The effect of CH on Ca(2+) currents was not additive to exogenous Abeta(1-40) and was blocked by the gamma-secretase inhibitors gamma-X and gamma-VI, demonstrating a role for amyloid beta peptide (AbetaP) production. Ca(2+) current enhancement was abolished in the presence of the transcription inhibitor actinomycin D but unaffected by the vacuolar H(+) ATPase inhibitor bafilomycin A1. CONCLUSION: AbetaP production and transcriptional regulation during CH regulated the properties of a peripheral chemosensory cell, defining a role for these enigmatic peptides in the signalling pathway of a physiological response to CH in the developing cardiovascular system.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.032
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.086
GPT teacher head0.318
Teacher spread0.233 · 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 teacher head, 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

Citations3
Published2004
Admission routes1
Has abstractyes

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