MétaCan
Menu
Back to cohort
Record W4281731737 · doi:10.1038/s41398-022-02004-x

OPTN attenuates the neurotoxicity of abnormal Tau protein by restoring autophagy

2022· article· en· W4281731737 on OpenAlexfundno aff
Yin Xu, Yun Liu, Xi Chen, XU Qia, Liwei Liu, Hui Liu, Ruowen Guo, Yide Qin

Bibliographic record

VenueTranslational Psychiatry · 2022
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaAnhui Medical UniversityLeukemia and Lymphoma Society of Canada
KeywordsNeurotoxicityAutophagySchizophrenia (object-oriented programming)NeuroscienceMedicinePsychiatryPharmacologyPsychologyBiologyInternal medicineToxicityBiochemistryApoptosis

Abstract

fetched live from OpenAlex

OPTN is an autophagy receptor involved in autophagic degradation. Here we studied the role of OPTN in attenuating the neurotoxicity induced by mutated Tau protein. We constructed recombinant adeno-associated viruses with OPTN and Tau-P301L genes, respectively. Through virus coinfection on neuronal cell line HT22 in vitro and Kunming mice in vivo, we found that autophagy- and apoptosis-associated genes are altered by Tau-P301L at both mRNA and protein levels, which are restored by OPTN expression. Functionally, OPTN suppresses apoptosis and enhances cellular viability in Tau-P301L expressing HT22 cells, and increases learning and memory in Tau-P301L expressing mice, respectively. Last, we found that OPTN reduces the p-Tau levels in vitro and in vivo. Our results reveal the function of OPTN in lowering the p-Tau level and the expressions of apoptosis genes, and increasing the expressions of autophagic genes, indicating a beneficial role of OPTN in Tau pathology.

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 score0.045
Threshold uncertainty score0.646

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)0.0010.000

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 head0.023
GPT teacher head0.299
Teacher spread0.276 · 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

Citations27
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueTranslational PsychiatrySame topicAlzheimer's disease research and treatmentsFrench-language works237,207