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Increased medial smooth muscle cell length is responsible for vascular hypertrophy in young hypertensive rats

2000· article· en· W2279294960 on OpenAlexaff
Jeffrey G. Dickhout, R. M. K. W. Lee

Bibliographic record

VenueAmerican Journal of Physiology-Heart and Circulatory Physiology · 2000
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMuscle hypertrophySpontaneously hypertensive ratInternal medicineVascular smooth muscleAnatomyMesenteric arteriesEndocrinologyLumen (anatomy)PerfusionChemistryMedicineSmooth muscleBlood pressureArtery

Abstract

fetched live from OpenAlex

Large mesenteric arteries from 3- to 4-wk-old spontaneously hypertensive rats (SHR) showed medial hypertrophy and an increased contractile response to various agonists before significant blood pressure increase. Here we determined the cellular nature of this vascular hypertrophy. Large mesenteric arteries from SHR and Wistar-Kyoto (WKY) rats were fixed at maximal relaxation either with an in situ perfusion fixation or an in vitro fixation method. With the use of morphometric protocols and confocal microscopy, the volume of the medial wall and lumen, numerical density of smooth muscle cell nuclei in the medial layer, and smooth muscle cell and nuclear length were measured. Both methods of fixation yielded similar results, showing significant medial volume expansion in SHR than WKY without lumen change. Numerical density of medial smooth muscle cells was significantly less in SHR than WKY, and their total number per 100 microm length were similar between the strains. Average smooth muscle nuclear and cell length from SHR was significantly longer than that of WKY. Regression analysis showed that the increase in smooth muscle cell length explained 80% of the medial volume increase. We concluded that increased smooth muscle cell length in prehypertensive SHR is responsible for increased medial volume in the mesenteric arteries.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.014
GPT teacher head0.251
Teacher spread0.238 · 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.

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

Citations45
Published2000
Admission routes1
Has abstractyes

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