Vglut2 expression in dopamine neurons contributes to post-lesional striatal reinnervation
Bibliographic record
Abstract
ABSTRACT In Parkinson’s disease, the most vulnerable neurons are found in the ventral tier of the substantia nigra (SN), while the adjacent dopamine (DA) neurons of the ventral tegmental area (VTA) are mostly spared. Although a significant subset of adult VTA DA neurons expresses Vglut2 , a vesicular glutamate transporter, and release glutamate as a second neurotransmitter in the striatum, only very few adult SN DA neurons have this capacity. Previous work has demonstrated that lesions created by neurotoxins such as MPTP and 6-hydroxydopamine (6-OHDA) can upregulate the expression of Vglut2 in surviving DA neurons. Currently, the molecular mechanisms explaining the plasticity of Vglut2 expression in DA neurons are unknown, as are the physiological consequences for DA neuron function and survival. Here we aimed to characterize the developmental expression pattern of Vglut2 in DA neurons and the role of this transporter in post-lesional plasticity in these neurons. Using an intersectional genetic lineage-mapping approach, based on Vglut2-Cre and TH-Flpo drivers, we first found that more than 98% of DA neurons expressed Vglut2 at some point in their embryonic development. Expression of this transporter was detectable in most DA neurons until E11.5 and was found to be localized in developing axons. Moderate enhancement of VGLUT2 expression in primary DA neurons caused an increase in axonal arborization length. Compatible with a developmental role, constitutive deletion of Vglut2 caused a regional defect in TH-innervation of the dorsal striatum in E18.5 embryos. Moreover, using an in vitro neurotoxin model, we demonstrate that Vglut2 expression can be upregulated in post-lesional DA neurons by 2.5-fold, arguing that the developmental expression of Vglut2 in DA neurons can be reactivated at postnatal stages and contribute to post-lesional plasticity of dopaminergic axons. In support of this hypothesis, we find fewer mesostriatial dopaminergic projections in the striatum of conditional Vglut2 KO mice 7 weeks after a neurotoxic lesion, compared to control animals. Thus, we propose here that one of the functions of Vglut2 in adult DA neurons is to promote post-lesional recovery of meso-striatal axons.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".