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Record W1605585874 · doi:10.1159/000158099

Studies on Subcellular Fractions from Mesenteric Arteries of Spontaneously Hypertensive Rats: Alterations in Both Calcium Uptake and Enzyme Activities

2008· article· en· W1605585874 on OpenAlexaff
Jiann-Wu Wei, Ronald A. Janis, Edwin E. Daniel

Bibliographic record

VenueBlood Vessels · 2008
Typearticle
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMesenteric arteriesCalciumInternal medicineEndocrinologyChemistryAlkaline phosphataseOuabainATPaseEnzymeBiochemistryBiologySodiumArteryMedicine

Abstract

fetched live from OpenAlex

Calcium uptake and enzymatic activities were studied on plasma membrane-enriched and other subcellular fractions from mesenteric arteries of normotensive Wistar (NWR) and spontaneously hypertensive rats (SHR). The specific activities of plasma membrane marker enzymes (5’-nucleotidase, phosphodiesterase I, leucine aminopeptidase, and ouabain-sensitive K+-activated phosphatase) were significantly greater in the plasma membrane-enriched fraction from arteries of hypertensive than in those from normotensive rats. Alkaline phosphatase and Mg++-ATPase exhibited increased activities in all subcellular fractions of arteries from SHR as compared to those from NWR. The maximum calcium uptake in the presence of 5 mM ATP and 17 µM free calcium by the plasma membrane fraction from SHR arteries was significantly greater than that from NWR arteries. In contrast, the maximum ATP-independent calcium uptake in the presence of 1 mM free calcium by the plasma membrane fraction from SHR arteries was significantly lower than that from NWR arteries. The ionophore-induced decrease in calcium uptake by these fractions was 1.5–2.5 times greater for SHR than for NWR arteries. The presence of changes in activities of enzymes believed to be involved in

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.057
GPT teacher head0.289
Teacher spread0.232 · 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

Citations35
Published2008
Admission routes1
Has abstractyes

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