Increased Activity of Tyrosine Hydroxylase Leads to Elevated Amphetamine Response and Markers of Oxidative Stress in Transgenic Mice
Bibliographic record
Abstract
Abstract In Parkinson’s disease, noradrenergic cells of the locus coeruleus and dopamine cells within the nigrostriatal pathway undergo profound degeneration. Tyrosine hydroxylase (TH) is the rate-limiting enzyme in the production of all catecholamines, including dopamine and noradrenaline, and is selectively expressed in the cells that produce these neurotransmitters. In vitro studies have previously shown that the TH-synthetic system can contribute to the formation of reactive oxygen species. In addition, animal models of dopamine mishandling demonstrated that free dopamine is neurotoxic. To examine how increased TH activity might influence catecholamine systems in vivo , we generated TH-overexpressing mice (TH-HI) with six total copies of the TH murine gene. A commensurate increase in TH mRNA produced a threefold increase in both total TH protein and phosphorylated TH levels. We found an increased rate of dopamine synthesis in both young and adult mice, reflected by the accumulation of L-DOPA following NSD-1015 administration, as well as elevated dopamine tissue content in young mice and an increased presence of dopamine metabolites at both ages. Adult mice show no difference in baseline locomotor behaviour compared to wildtype littermates, but a have potentiated response to amphetamine. In addition to elevated dopamine turnover in the striatum, TH-HI mice show reduced levels of glutathione and increased levels of cysteinylated catechols. These results indicate that a heightened level of active TH can produce oxidative stress, and may represent a source of toxicity that is specific to catecholamine cells, which are most vulnerable to degeneration in Parkinson’s disease.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".