Progressive sensorimotor impairment is not associated with reduced dopamine and high energy phosphate donors in a model of ataxia‐telangiectasia
Bibliographic record
Abstract
Ataxia-telangiectasia (A-T) is a genetic disease, associated with progressive motor impairment and a lack of functional ATM protein. It has been reported that immunoreactive tyrosine hydroxylase and dopamine transporter are reduced in an Atm-/- mouse model of A-T. These observations led to a hypothesis that A-T is associated with loss of nigrostriatal dopamine and prompted the launch of clinical trials to evaluate a therapeutic utility of the anti-parkinsonian drug, l-DOPA. To test for dopamine depletion more directly, we measured regional levels of monoamines and their metabolites in the Atm-/- mouse brain. We also measured levels of NAD+, a cofactor for dopamine biosynthesis and substrate of the DNA damage surveillance enzyme, poly(ADP-ribose) polymerase (PARP). Constitutive activation of PARP has been posited to cause NAD+ depletion. We observed no reduction in monoamine transmitters and no depletion of NAD+, or other high energy phosphate donors in the adult Atm-/- cerebellum, striatum, or ventral mesencephalon. However, our studies did reveal a progressive sensorimotor impairment in Atm-/- mice that may serve as a relevant proxy for progressive neurological impairment in the human disease. Our results call into question the involvement of dopamine in A-T and the therapeutic strategy of enhancing dopaminergic function with l-DOPA.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.000 |
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.
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".