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Record W4414118670 · doi:10.1016/j.neurot.2025.e00737

Antibody targeting TDP-43 mitigates pathogenic pathways induced by the cerebrospinal fluid of ALS

2025· article· nl· W4414118670 on OpenAlexafffund
Amélie Poulin-Brière, Silvia Pozzi, Jean‐Pierre Julien

Bibliographic record

VenueNeurotherapeutics · 2025
Typearticle
Languagenl
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversité LavalBombardier (Canada)
FundersCanadian Institutes of Health ResearchALS Society of Canada
KeywordsAmyotrophic lateral sclerosisAntibodyGenetically modified mouseCerebrospinal fluidTransgeneSpinal cordNeurodegenerationMonoclonal antibodyMicroglia

Abstract

fetched live from OpenAlex

. Either intrathecal (i.t.) or i.c.v. injection of E6 antibody conferred protective effects in this model of disease. Thus, the CSF-inoculated E6 antibody reduced motor and cognitive impairments, mitigated TDP-43 proteinopathy and prevented neurofilament (Nf) disorganization in cortical and spinal neurons. Administration of E6 antibody reduced the loss of motor neurons in the spinal cord and the denervation of neuromuscular junctions. Moreover, E6 antibody promoted a switch toward features associated with a protective phenotype of microglial activation characterized by enhanced phagocytic function and reduced secretion of pro-inflammatory cytokines. The results suggest that an immunotherapy targeting the RRM1 domain of TDP-43 may confer protection against pathogenic pathways triggered by the CSF of ALS patients.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.331
Teacher spread0.291 · 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
Published2025
Admission routes2
Has abstractyes

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