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Role of angiotensin II type 1 receptors in the subfornical organ in the pressor responses to central sodium in rats

2013· article· en· W2032221984 on OpenAlexafffund
Missale Tiruneh, Bing Huang, Frans H. H. Leenen

Bibliographic record

VenueBrain Research · 2013
Typearticle
Languageen
FieldMedicine
TopicRenin-Angiotensin System Studies
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsSubfornical organAngiotensin IIInternal medicineEndocrinologySaralasinRenin–angiotensin systemCandesartanOsmoreceptorAngiotensin II receptor type 1ChemistryAngiotensin receptorReceptorMedicineBlood pressure

Abstract

fetched live from OpenAlex

Central infusion of Na(+)-rich artificial cerebro-spinal fluid (aCSF) activates the brain renin-angiotensin system and causes sympatho-excitatory and pressor responses. We evaluated the role of the subfornical organ (SFO) and angiotensin II type 1 (AT1) receptors in the SFO in mediating the central Na(+)-induced pressor response. In conscious Wistar rats, intra SFO infusions of Na(+)-rich aCSF containing 0.45 and 0.6M Na(+) at 10 nl/min or injection of angiotensin II (Ang II) at 80 ng increased blood pressure (BP) by 15-22 mmHg, whereas mannitol with the same osmolarity as the Na(+)-rich aCSF had no effects. Intra SFO infusion of the AT1 receptor blocker candesartan abolished the pressor response induced by intra SFO administration of Na(+)-rich aCSF or Ang II. Intra cerebro-ventricular (icv) infusion of Na(+)-rich aCSF (0.3M Na(+)) at 3.8 μl/min for 10 min increased BP by 15-20 mmHg. Electrolytic lesion of the SFO attenuated these BP increases by 50-70%. Intra SFO infusion of candesartan also prevented 50% of these pressor responses. These data suggest that SFO neurons are indeed sensitive to Na(+), the SFO is a major - but not only - site in the brain to sense an increase in CSF [Na(+)], and activation of AT1 receptors in the SFO mediates the SFO component of the Na(+)-induced pressor response.

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)0.006
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
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 head0.076
GPT teacher head0.381
Teacher spread0.305 · 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 designObservational
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

Citations15
Published2013
Admission routes2
Has abstractyes

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