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Atorvastatin Inhibits Leukocyte Firm Adhesion to Arterial Thrombi as Observed in the Mouse Cremaster Muscle.

2004· article· en· W2980067870 on OpenAlexaff
Emma Cohen, Bruno Esposito, Joel G. Ray, Peter L. Gross

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsAtorvastatinCremaster muscleCD18ThrombusInternal medicineLovastatinMedicineEndocrinologyPharmacologyIn vivoImmunologyBiologyCholesterolIntegrinMicrocirculationReceptor

Abstract

fetched live from OpenAlex

Abstract Statins, inhibitors of 3-Hydroxy-3-methylglutaryl coenzyme A reductase, are known to effectively reduce plasma cholesterol and reduce the mortality and morbidity of atherosclerotic disease. Recent investigation suggests that statins influence vascular biology through mechanisms other than decreased plasma cholesterol. Statins can inhibit the activation of the beta-2 integrin CD18 by inhibiting the signaling molecule RhoA and can block LFA-1 (an integrin that pairs CD11a with CD18 on lymphocytes) from binding its ligand ICAM-1. We have previously described leukocyte (largely granulocytes) rolling on arterial thrombi and leukocyte firm adhesion to the thrombus coincident with CD18 activation. We therefore hypothesized that statins can block leukocyte firm adhesion to a thrombus by inhibiting the activation of CD18 in vivo. A placebo controlled experiment measured the leukocyte thrombus interaction in C57/Bl6 mice treated with atorvastatin (Lipitor) for 14 days prior to in vivo experimentation. The six mice in the atrovastatin group received a diet prepared by Dyets.com containing 0.2 mg of atorvastatin in each gram of food. The six mice in the control group received a normal mouse diet without the drug. All mice consumed approximately 5 g of their respective food each day. We monitored the weight of the mice and of the food to ensure that the mice consumed their diet and that they maintained a consistent weight. The mice were anesthetized via an intraperitoneal injection and the jugular vein was cannulated to maintain anesthesia throughout the procedure. Exteriorization of the cremaster muscle that surrounds the testicle allowed visualization of arterioles. A thrombus was induced with a MicroPoint LASER attached to a microscope. There appeared to be no difference in thrombus formation between the two groups. We observed rolling and firmly adhering leukocytes on the thrombus for 45 minutes after injury. In each mouse, on average three thrombi were induced in arterioles that ranged from 26 to 76 μm in diameter (18 thrombi in control group, 16 thrombi in atorvastatin group). At the end of the experiment blood was obtained from each mouse by cardiac puncture for white blood cell count by hemacytometer. There was no significant difference (P=0.37) in the white blood count for the mice in the different groups of the experiment (see Table). There was no significant difference (P=0.22) between the groups in the number of rolling leukocytes observed suggesting similar thrombus size. Leukocyte firm adhesion to the thrombus was defined as a cell that stuck to the thrombus for more than two minutes. Significantly fewer leukocytes (P=0.019) firmly adhered to a thrombus in the atorvastatin group than in the control group. Thus, atorvastatin reduced the number of firmly adherent leukocytes to a thrombus. Because granulocytes lack CD11a, we propose that atorvastatin inhibited the activation of CD18 by inhibiting the signaling molecule RhoA. The observation that statins can influence the dynamic leukocyte thrombus relationship broadens our understanding of the mechanisms by which statins prevent and treat atherosclerosis. Control Atorvastatin Mean±SEM WBC Count 3,948,303±296,590 4,687,121±371,291 Total Rolling Leukocytes 493±104 341±56 Total Firmly Adherent Leukocytes 4.8±3.3 2.3±2.5

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.261
Teacher spread0.230 · 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
Published2004
Admission routes1
Has abstractyes

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