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Record W34092165 · doi:10.1096/fasebj.21.6.a950-b

Vasoconstrictor activity of arginine vasopressin in rat small mesenteric arteries after hindlimb suspension

2007· article· en· W34092165 on OpenAlexafffundabout
Cristina Trandafir, Susan Kaufman

Bibliographic record

VenueThe FASEB Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsUniversity of Alberta
FundersCanadian Space Agency
KeywordsVasopressinInternal medicineVasoconstrictionEndocrinologyVascular resistanceHindlimbMesenteric arteriesMedicineMyographArginineVasodilationBlood pressureChemistryArtery

Abstract

fetched live from OpenAlex

One of the factors responsible for orthostatic hypotension after spaceflight is an inability to adequately maintain cardiac afterload. Arginine vasopressin (AVP) increases arterial blood pressure by controlling both blood volume (antidiuresis) and total peripheral resistance (vasoconstriction). Plasma levels of AVP have been recently reported to increase after simulated microgravity. The present study aimed to investigate the vasoconstrictor activity of AVP on peripheral resistance vessels (small mesenteric arteries) in a hindlimb‐unloaded (HU) rat model. Male Long Evans rats were tail‐suspended at 35 degrees for 14 days. Small mesenteric arteries (2 nd order) were isolated and pressurized at 70 mmHg in a pressure myograph. Sensitivity and maximal responses to AVP (10 −12 to 3x10 −8 M) were assessed. There was no difference between HU and Control groups with regard to either EC 50 (HU: 6.8±1.2 x 10 −10 M, n = 8; Control: 7.9±1.7 x 10 −10 M, n = 6) or maximal response to AVP. Contrary to a previous report of hyporesponsiveness to AVP in rat aorta after hindlimb suspension, the activity of this hormone in resistance‐sized mesenteric vessels of male rats is not changed by exposure to simulated microgravity. This research was supported by The Canadian Space Agency.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.232
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.018
GPT teacher head0.271
Teacher spread0.254 · 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

Citations0
Published2007
Admission routes3
Has abstractyes

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