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Excessive autophagy contributes to neuron death in cerebral ischemia

2012· article· en· W3175805669 on OpenAlexafffundabout
Ruo‐Yang Shi, Lin Zhang, Ling Zhao, Jiequn Weng, Xinmin Li, Jiming Kong

Bibliographic record

VenueThe FASEB Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health ResearchMichigan Institute for Clinical and Health ResearchManitoba Health Research Council
KeywordsAutophagyProgrammed cell deathIschemiaImmunocytochemistryCell biologyWestern blotBECN1NeuronHypoxia (environmental)StainingViability assayIn vivoChemistryCellBiologyApoptosisPathologyNeuroscienceMedicineInternal medicineBiochemistryOxygenGene

Abstract

fetched live from OpenAlex

Aims To determine the extent to which autophagy contributes to neuronal death in cerebral hypoxia and ischemia. Methods We performed immunocytochemistry, western blot, cell viability assay, and electron microscopy to analyze autophagy activities in vitro and in vivo. Results In both primary cortical neurons and SH‐SY5Y cells exposed to oxygen and glucose deprivation (OGD) for 6 h (hours) and reperfusion (RP) for 24, 48 and 72 h respectively, an increase of autophagy was observed as determined by the increased ratio of LC3‐II to LC3‐I and Beclin‐1 (BECN1) expression. Using Fluoro‐Jade C and monodansylcadaverine (MDC) double‐staining, and electron microscopy we found the increment in autophagy after OGD/RP was accompanied by increased autophagic cell death, and this increased cell death was inhibited by the specific autophagy inhibitor, 3‐Methyladenine (3‐MA). The presence of large autolysosomes and numerous autophagosomes in cortical neurons were confirmed by electron microscopy. Autophagy activities were increased dramatically in the ischemic brains 3 to 7 days post‐injury from a rat model of neonatal cerebral hypoxia/ischemia as shown by increased punctate LC3 staining and Beclin‐1 expression. Conclusion Excessive activation of autophagy contributes to neuronal death in cerebral ischemia. This study was supported by CIHR, MHRC, MICH and Canadian Stroke Network.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.293
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2012
Admission routes3
Has abstractyes

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