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Glial-derived Neuroinflammation induced with Amyloid-beta-peptide PlusFibrinogen Injection in Rat Hippocampus

2023· article· en· W4386703738 on OpenAlexafffund
James G. McLarnon

Bibliographic record

VenueCurrent Alzheimer Research · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversity of British Columbia
FundersAlzheimer Society
KeywordsGliosisAstrocyteNeuroinflammationNeuroprotectionMicrogliaMinocyclineNitric oxide synthaseChemistryAmyloid betaHippocampusPharmacologyNitric oxideNeuroscienceEndocrinologyInternal medicineMedicineInflammationCentral nervous systemPeptideBiologyBiochemistry

Abstract

fetched live from OpenAlex

Introduction: The present study has examined microglial and astrocyte activation in association with neuronal degeneration in an animal model using an injection of amyloid-beta peptide Aβ1-42 (Aβ42) plus fibrinogen into rat hippocampus. Methods: The combination of stimuli is suggested as a novel and potent perturbation to induce gliosis and the production of glial-derived neurotoxic factors in an animal model exhibiting a leaky BBB (blood-brain barrier). Specifically, Aβ42+fibrinogen stimulation elevated levels of COX-2 (cyclooxygenase-2) and iNOS (inducible nitric oxide synthase) with a considerable extent of neuronal loss associated with microglia and astrocyte activation. Results: Treatment of injected rats with the broad spectrum anti-inflammatory agent, minocycline or the iNOS inhibitor, 1400W inhibited gliosis, reduced levels of COX-2 and iNOS, and demonstrated efficacy for neuroprotection. Conclusion: The findings suggest the utility of combining peptide plus fibrinogen as a potent and understudied neuroinflammatory stimulus for the induction of glial-derived neurotoxic factors in BBB-compromised AD brain.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.255
GPT teacher head0.395
Teacher spread0.140 · 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

Citations3
Published2023
Admission routes2
Has abstractyes

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