TDP-43 Drives Nuclear Factor- B Activation in ALS (P03.179)
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".