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TDP-43 Drives Nuclear Factor- B Activation in ALS (P03.179)

2012· article· nl· W2334851368 on OpenAlexaffabout
Jean‐Philippe Julien, Vishnu Swarup, Nicolas Dupré, Jasna Križ

Bibliographic record

VenueNeurology · 2012
Typearticle
Languagenl
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFactor (programming language)NeuroscienceMedicinePsychologyComputer science

Abstract

fetched live from OpenAlex

Objective: Our objective was to search for proteins which might interact with TDP-43 and to investigate the physiological significance of such interaction. Background TDP-43 inclusions are a hallmark of amyotrophic lateral sclerosis (ALS) and dominant mutations in TARDBP, which codes for TDP-43, were reported by several groups as a primary cause of ALS. However, the physiological role of TDP-43 and the pathogenic pathways of TDP-43 abnormalities are not well understood. Design/Methods: Real-time RT-PCR and ELISA revealed that the levels of mRNA and protein for TDP-43 was elevated in the spinal cord of sporadic ALS cases. Mass spectrometry and co-immunoprecipitation assays were carried out to identify proteins which interact with TDP-43. Transgenic mice overexpressing human TDP-43 by 3 folds and control littermates were used as a source of primary cells and for therapeutic testing of withaferin A. Results: We have found that TDP-43 and NF-κB p65 mRNA and protein expression is higher in spinal cords if ALS patients than healthy individuals. TDP-43 interacts with and colocalizes with p65 in glial and neuronal cells from ALS patients and mice expressing wild-type and mutant TDP-43 transgenes, but not in cells from healthy individuals or nontransgenic mice. TDP-43 acted as a co-activator of p65, and glial cells expressing higher amounts of TDP-43 produced more proinflammatory cytokines and neurotoxic mediators after stimulation with lipopolysaccharide or reactive oxygen species. TDP-43 overexpression in neurons also increased their vulnerability to toxic mediators. Treatment of TDP-43 mice with withaferin A, an inhibitor of NF-κB activity, reduced denervation in the neuromuscular junction and ALS disease symptoms. Conclusions: We conclude that TDP-43 deregulation contributes to ALS pathogenesis in part by enhancing NF-κB activation, and that NF-κB may constitute a therapeutic target for the disease. Supported by: The Canadian Institutes of Health Research (CIHR) and Neuromuscular Research Partnership, the Robert Packard Center for ALS Research at Johns Hopkins and the Fondation Andre-Delambre. Disclosure: Dr. Julien has received personal compensation for activities with Biogen Idec as a consultant. Dr. Swarup has nothing to disclose. Dr. Dupre has nothing to disclose. Dr. Kriz has nothing to disclose.

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.047
GPT teacher head0.316
Teacher spread0.269 · 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".

Quick stats

Citations0
Published2012
Admission routes2
Has abstractyes

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