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Record W1573622091 · doi:10.1161/str.45.suppl_1.wp201

Abstract W P201: Angiopoietin-1 Mimetic Peptide Treatment of Stroke Regulates MicroRNA Expression and Promotes Neuroprotection in Type One Diabetic Rats

2014· article· en· W1573622091 on OpenAlexaff
Alex Zacharek, Michael Chopp, Ruizhuo Ning, Tao Yan, Paul Van Slyke, Daniel Dumont, Cynthia J. Roberts, Jieli Chen

Bibliographic record

VenueStroke · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineNeuroprotectionAngiopoietinStroke (engine)ImmunostainingInflammationEvans BlueWestern blotStreptozotocinApoptosisIschemiaLesionInternal medicinemicroRNAEndocrinologyPharmacologyVascular endothelial growth factorDiabetes mellitusPathologyImmunohistochemistryBiology

Abstract

fetched live from OpenAlex

Introduction: Angiopoietin-1 (Ang-1) mediates vascular remodeling. Diabetes decreases Ang1 and disrupts Ang1/Tie2 signaling, impairs vascular maturation and regulates immune response. MicroRNAs have been implicated in vascular diseases and inflammation. Vasculotide (VT) is an Ang1 mimetic peptide that promotes Tie2 activity. We hypothesize that treating type one diabetic rats (T1DM) with VT after stroke regulates miRNA expression decreases pro-inflammatory factors and thereby produces a neuroprotective effect. Methods: T1DM was induced in male Wistar rats with streptozotocin followed by 2h transient middle cerebral artery occlusion (MCAo). These rats were then treated with: 1) PBS control; 2) VT (3 ug/kg, ip injection) just prior to stroke and at 8h and 24h after MCAo. Functional tests were conducted 48h after MCAo. Afterwards, brain hemorrhage, BBB leakage, miRNA expression, RT-PCR, immunostaining and Western blot assays were done. Results: VT treatment did not decrease brain hemorrhage, but significantly decreased Evans Blue leakage (30.6±5.8 ng/mg vs. 17.9±2.0 ng/mg) lesion volume (35.1±3.5% vs 25.8±5.3%) and improved functional outcome after stroke when compared to control (p<0.05). To elucidate the mechanism, miRNA was measured. VT treatment significantly increased miR-451 (81.6 folds), miR-155 (2.4 fold), miR-98 (1.9 fold), and miR-126 (1.5 fold) expression, but decreased miR-200b (3.8 fold). Immunostaining showed that VT significantly decreased the number of apoptotic (45.5±3.7 vs 30.8±2.6) and cleaved-caspase-3 positive cells (45.2±3.5 vs 33.1±4.3), as well as monocyte chemotactic protein-1 (MCP1, 5.02±0.4% vs 1.8±0.2%) and tumor necrosis factor (TNF)-alpha (3.1±0.5% vs 1.5±0.2%). Western blot showed that VT significantly decreased receptor for advanced glycation end products (RAGE), MCP1 and TNFa (3-5 fold) in the ischemic border area compared to T1DM control. Conclusion: VT promotes neuroprotection after stroke in T1DM rats. Regulation of miRNA and neuroinflammatory factor expression and decreased BBB leakage may contribute to the VT induced neuroprotective effects observed after stroke in T1DM rats.

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 score0.005
Threshold uncertainty score0.018

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)0.0050.001

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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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