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Record W3216241072 · doi:10.26685/urncst.296

Intranasal Administration of Chitosan-Nanoparticles Conjugated with Imipramine and its Effect on Stroke-Induced Secondary Neurodegeneration: A Research Protocol

2021· article· en· W3216241072 on OpenAlexaff
Sarthak Kakar, James N. Smorenburg

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2021
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsNeurodegenerationMedicineStroke (engine)ImipramineNeuroprotectionPharmacologyNasal administrationInternal medicineAnesthesiaDiseasePathology

Abstract

fetched live from OpenAlex

Introduction: Stroke is the second leading cause of death and the third leading cause of permanent disability worldwide. Notably, the recovery period post-stroke is crucial as there is a risk of stroke-induced secondary neurodegeneration. Stroke-induced secondary neurodegeneration is the inevitable loss of viable brain tissue at sites distal from the initial infarct. It shares similarities with neurodegenerative diseases and results in neurological deficits, further complicating stroke recovery. Intranasal administration of chitosan-nanoparticles conjugated with imipramine will be tested to determine if they elicit a synergistic effect in mitigating disease processes associated with stroke-induced secondary neurodegeneration. Methods: Treatment and testing will be conducted in 30 male Wistar rats aged 12 months. Stroke will be induced by occluding the middle cerebral artery. Rats will be divided into three groups of 10 and will receive an intranasal dose of either saline (Control, C), 20mg/kg of imipramine (Treatment 1, T1), or 20mg/kg of chitosan-nanoparticles conjugated with imipramine (Treatment 2, T2). Statistical analysis using analysis of variance will determine if chitosan-nanoparticles conjugated with imipramine can mitigate the effects of stroke-induced secondary neurodegeneration determined by the proposed tests. Results: T2 given 20mg/kg of chitosan-nanoparticles conjugated with imipramine is proposed to spend more time exploring the unfamiliar object in the novel object recognition test. Lesser evidence of Alzheimer’s disease in T2 is expected, as measured by the fludeoxyglucose positron emission tomography imaging. A higher serum brain-derived neurotrophic factor measured by an enzyme-linked immunosorbent assay is also expected to be present in T2. Discussion: It is anticipated that chitosan-nanoparticles conjugated with imipramine will exhibit a synergistic effect in mitigating disease processes accompanying stroke-induced secondary neurodegeneration because of properties associated with neuroplasticity and enhanced drug targeting efficacy. Conclusion: This research protocol aims to elucidate a novel treatment that can be applied to stroke recovery to mitigate stroke-induced secondary neurodegeneration, which tends to complicate this crucial period. Our proposal could have implications in the prognosis and management of stroke and post-stroke recovery, respectively, and inspire a framework for the discovery of novel post-stroke therapeutic interventions.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.099
GPT teacher head0.434
Teacher spread0.335 · 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 designTheoretical or conceptual
Domainnot available
GenreProtocol

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

Citations1
Published2021
Admission routes1
Has abstractyes

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