Multi-modal comparative phenotyping of knock-in mouse models of frontotemporal dementia/amyotrophic lateral sclerosis
Bibliographic record
Abstract
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are progressive adult-onset neurodegenerative diseases with overlapping pathological and genetic origins. They are caused by multiple underlying mechanisms leading to a common collection of clinical features that occur in a spectrum. Here, we report side-by-side longitudinal behavioural, cognitive and sensory phenotyping of two mouse models of ALS/FTD, to determine which aspects of the disease they recapitulate. We used knock-in models, in which the endogenous mouse orthologues of the C9orf72 and TARDBP (encoding TDP-43) genes have been altered to model specific molecular aspects of ALS/FTD. We found that the C9orf72GR400/+ model exhibits age-related deficit in short-term memory and that parental genotype affects exploration activity in offspring. In the TardbpQ331K/Q331K model, we found age-related changes in weight, fat mass, locomotion and marble burying. In both models, we found no evidence of deficits in vision or olfactory habituation-dishabituation. These data provide new insight into genotype-phenotype relationships in these ALS/FTD mice, which can be used to inform model choice and experimental design in future research studies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".