Evidence map›Paper›PMID 29337309›Full record

ArticleThe Journal of clinical investigation2018

Role for VGLUT2 in selective vulnerability of midbrain dopamine neurons.

Thomas Steinkellner, Vivien Zell, Zachary J Farino, Mark S Sonders, Michael Villeneuve, Robin J Freyberg, Serge Przedborski, Wei Lu, Zachary Freyberg, Thomas S Hnasko

Open access · greenAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
8.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed, 106 citations in OpenAlex.

  1. Review
  2. Selective and differential roles of PVHNature communications · 2026
    Article
  3. VGLUT2 in Parkinson's disease: an emerging therapeutic target.Expert opinion on therapeutic targets · 2026
    Review
  4. Article
  5. Article
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  14. Dopamine-Glutamate and Dopamine-GABA Co-release.Advances in neurobiology · 2025
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Thomas SteinkellnerDepartment of Neurosciences, UCSD, La Jolla, California, USA.
Vivien ZellDepartment of Neurosciences, UCSD, La Jolla, California, USA.
Zachary J FarinoDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Mark S SondersDepartment of Psychiatry.
Michael VilleneuveDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Robin J FreybergDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Serge PrzedborskiDepartment of Neurology, and.
Wei LuSynapse and Neural Circuit Research Unit, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, USA.
Zachary FreybergDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Thomas S HnaskoDepartment of Neurosciences, UCSD, La Jolla, California, USA.
University of Pittsburgh · USUniversity of California San Diego · USColumbia University · USNational Institute of Neurological Disorders and Stroke · US

Funding

The regulation of synaptic transmission and neural circuit functionZIANS003136 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI LU, WEI · 2012 to 2025
$27.0M
Role of novel VTA neurons in addiction-related behaviorsR01DA036612 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Thomas Hnasko · 2014 to 2026
$5.6M
Novel Molecular Genetic Approaches for the Prevention and Treatment of ParkinsonsR21NS087496 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HNASKO, THOMAS · 2014 to 2015
$426k
NIDA NIH HHS R01 DA036612NINDS NIH HHS R21 NS087496
6 · The paper itself

Abstract

Parkinson's disease is characterized by the loss of dopamine (DA) neurons in the substantia nigra pars compacta (SNc). DA neurons in the ventral tegmental area are more resistant to this degeneration than those in the SNc, though the mechanisms for selective resistance or vulnerability remain poorly understood. A key to elucidating these processes may lie within the subset of DA neurons that corelease glutamate and express the vesicular glutamate transporter VGLUT2. Here, we addressed the potential relationship between VGLUT expression and DA neuronal vulnerability by overexpressing VGLUT in DA neurons of flies and mice. In Drosophila, VGLUT overexpression led to loss of select DA neuron populations. Similarly, expression of VGLUT2 specifically in murine SNc DA neurons led to neuronal loss and Parkinsonian behaviors. Other neuronal cell types showed no such sensitivity, suggesting that DA neurons are distinctively vulnerable to VGLUT2 expression. Additionally, most DA neurons expressed VGLUT2 during development, and coexpression of VGLUT2 with DA markers increased following injury in the adult. Finally, conditional deletion of VGLUT2 made DA neurons more susceptible to Parkinsonian neurotoxins. These data suggest that the balance of VGLUT2 expression is a crucial determinant of DA neuron survival. Ultimately, manipulation of this VGLUT2-dependent process may represent an avenue for therapeutic development.

Indexed as

AnimalsDisease Models, AnimalDopamineDopaminergic NeuronsDrosophila melanogasterFemaleGlutamic AcidHumansMaleMesencephalonMiceNeurodegenerative DiseasesNeuronsNeurotoxinsParkinson DiseaseSubstantia NigraDopamineGlutamic AcidNeurotoxinsVesicular Glutamate Transport Protein 2Mouse modelsNeurodegenerationNeuroscienceParkinson’s disease

Identifiers

PMID29337309
PMCPMC5785252
OpenAlexW2783295659

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.