Dopamine transporter function assessed by antisense knockdown in the rat: Protection from dopamine neurotoxicity
Bibliographic record
Abstract
The plasma membrane dopamine transporter is located on presynaptic nerve terminals and is responsible for the termination of dopaminergic neurotransmission via dopamine reuptake. The dopamine transporter may also contribute to the pathogenesis of Parkinson disease. Dopamine transporter expression correlates well with susceptibility to neuronal degeneration in 1-methyl-4-phenyl-1,2,3,6 -tetrahydropyridine (MPTP)-induced parkinsonism. Recent studies have implicated the dopamine transporter in the uptake of both this neurotoxin and its metabolite, MPP(+), as well as another experimental neurotoxin, 6-hydroxydopamine. In these studies we examined the role of the dopamine transporter in the neurotoxicity of both MPP(+) and 6-hydroxydopamine in the rat brain using in vivo administration of phosphorothioate antisense oligonucleotides targeting dopamine transporter mRNA. Infusion of dopamine transporter antisense (1 nmol/day, 7 days) into the left substantia nigra pars compacta resulted in reduced (3)H-WIN 35-428 binding in the left striatum and significant levodopa and amphetamine-induced contralateral rotations. Unilateral pretreatment with dopamine transporter antisense prior to bilateral intrastriatal infusion of either MPP(+) or 6-hydroxydopamine resulted in asymmetrical striatal (3)H-WIN 35-428 binding and dopamine content as well as significant apomorphine-induced ipsilateral rotations, suggesting neuroprotection of nigrostriatal neurons on the antisense-treated side. Thus, the dopamine transporter appears to play a critical role in determining susceptibility to the experimental neurotoxins MPP(+) and 6-hydroxydopamine. In light of this, the dopamine transporter may prove useful, both as a marker for susceptibility to Parkinson's disease and as a target for therapeutic intervention.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".