<scp> <i>TARDBP</i> </scp> ( <scp>TDP</scp> ‐43) Knock‐in Zebrafish Display a Late‐Onset Motor Phenotype and Loss of Large Spinal Cord Motor Neurons
Bibliographic record
Abstract
OBJECTIVE: Mutations in TARDBP (encoding TDP-43) are associated with the neurodegenerative disease amyotrophic lateral sclerosis (ALS) and include familial missense mutations where there are a lack of models and mechanisms examining how they are pathogenic. METHODS: In this study, we developed 2 tardbp (Tdp-43) knock-in (KI) zebrafish mutant models encoding the analogous A382T and G348C variants and investigated their degenerative phenotypes. RESULTS: We show that both models display reduced survival as well as an age-dependent motor phenotype that manifests at 1.5 years. Both variants in either the heterozygous or homozygous state did not impact protein expression levels of Tdp-43 in the central nervous system. However, homozygous G347C zebrafish displayed reduced expression levels of the tardbp transcript. We observed muscle cell atrophy starting at 1 year of age and loss of large spinal cord motor neurons in both KI models in older fish (2.35-3 years of age). We did not observe Tdp-43 aggregates. However, we did observe increased cytoplasmic Tdp-43 localization in spinal cord motor neurons in A379T zebrafish. At 1 year of age, whole spinal cord RNA-sequencing revealed an upregulation of neuroinflammatory transcripts in both models, as well as the selective downregulation of transcripts involved with synaptic function in G347C zebrafish, including syn2a, syn2b, syt2a, and stxbp1a. INTERPRETATION: These novel models of common TDP-43 disease variants provide a unique opportunity to further our understanding of neurodegeneration in vivo and demonstrate that mutations in the same protein and domain can manifest with different phenotypes. ANN NEUROL 2026;99:178-197.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".