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Influence of experimental chronic hypertension on the cerebral and renal arteries of wild cats

2003· article· en· W2055706307 on OpenAlexaff
Riki Okeda, Qi Chen, Jin Song Meng, Shinobu Okada, Tayoko Tajima, Yanghong Meng, Toshihiko Kuroiwa

Bibliographic record

VenueNeuropathology · 2003
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineCATSCerebral arteriesMedullary cavityRenal arteryArteryBlood pressureAnatomyInternal medicineCardiologyKidney

Abstract

fetched live from OpenAlex

The influence of chronic hypertension (HT) on the cerebral and renal arteries was examined pathologically and morphometrically in wild cats without a specific genetic background. Chronic HT for 8-15 months was induced by uninephrectomy and salt-loading, and the blood pressure was monitored for a maximum of 5 months. The grade of systolic blood pressure elevation in each cat during the monitoring period was 21-51 mmHg. Histologically, the cerebral arachnoid and medullary arteries of all hypertensive cats showed a well-preserved medial layer, and neither loss of medial smooth muscle cells, adventitial fibrosis or fibrinoid exudation was detected. This experimental model of chronic HT in wild cats for 8-15 months induced segmental intimal elastofibrosis of the arachnoid and renal arteries, but spared the cerebral medullary artery. The parenchymal changes in the brain were negligible. Morphometrically, the arachnoid artery in control cats had a significantly thinner media than the renal artery, and the medial hypertrophy of the arachnoid artery resulting from HT occurred significantly less frequently than that of the renal artery. These findings suggest that the arachnoid and medullary arteries are relatively well protected from HT, and that this may be characteristic of cerebral arteries in general and ascribed to autoregulation.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.286
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 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
Published2003
Admission routes1
Has abstractyes

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