Evidence map›Paper›PMID 28038352›Full record

ArticleNeurobiology of aging2017

Effects of decreased dopamine transporter levels on nigrostriatal neurons and paraquat/maneb toxicity in mice.

Franziska Richter, Lauryn Gabby, Kimberly A McDowell, Caitlyn K Mulligan, Krystal De La Rosa, Pedrom C Sioshansi, Farzad Mortazavi, Ingrid Cely, Larry C Ackerson, Linda Tsan and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Risk Factors for Brain Health in Agricultural Work: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Impact of Environmental Factors on Monogenic Mendelian Diseases.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

13 authors at 1 institution in 1 country.

Franziska RichterDepartment of Neurology, UCLA, Los Angeles, CA, USA. Electronic address: franziska.richter@vmf.uni-leipzig.de.
Lauryn GabbyDepartment of Neurology, UCLA, Los Angeles, CA, USA.
Kimberly A McDowellDepartment of Neurology, UCLA, Los Angeles, CA, USA.
Caitlyn K MulliganDepartment of Neurology, UCLA, Los Angeles, CA, USA.
Krystal De La RosaDepartment of Neurology, UCLA, Los Angeles, CA, USA.
Pedrom C SioshansiDepartment of Neurology, UCLA, Los Angeles, CA, USA.
Farzad MortazaviDepartment of Neurology, UCLA, Los Angeles, CA, USA.
Ingrid CelyHatos Center, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.
Larry C AckersonHatos Center, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.
Linda TsanHatos Center, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.
Niall P MurphyHatos Center, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.
Nigel T MaidmentHatos Center, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.
Marie-Françoise ChesseletDepartment of Neurology, UCLA, Los Angeles, CA, USA.
UCLA Medical Center · US

Funding

Project 4: Pesticides and Genes In PD: Studies In HumansP01ES016732 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHESSELET, MARIE-FRANCOISE S · 2008 to 2012
$6.7M
NIEHS NIH HHS P01 ES016732
6 · The paper itself

Abstract

How genetic variations in the dopamine transporter (DAT) combined with exposure to environmental toxins modulate the risk of Parkinson's disease remains unclear. Using unbiased stereology in DAT knock-down mice (DAT-KD) and wild-type (WT) littermates, we found that decreased DAT caused a loss of tyrosine hydroxylase-positive (dopaminergic) neurons in subregions of the substantia nigra pars compacta at 3-4 days, 5 weeks, and 18 months of age. Both genotypes lost dopaminergic neurons with age and remaining neurons at 11 months were resilient to paraquat/maneb. In 5-week-old mice, the toxins decreased substantia nigra pars compacta dopaminergic neurons in both genotypes but less in DAT-KD. Regional analysis revealed striking differences in the subsets of neurons affected by low DAT, paraquat/maneb, and aging. In particular, we show that a potentially protective effect of low DAT against toxin exposure is not sufficient to reduce death of all nigrostriatal dopaminergic neurons. Thus, different regional vulnerability of nigrostriatal dopaminergic neurons may contribute to an increased risk of developing Parkinson's disease when multiple factors are combined.

Indexed as

Genetic VariationAgingAnimalsDisease Models, AnimalDopamine Plasma Membrane Transport ProteinsDopaminergic NeuronsMaleManebMice, KnockoutMice, Mutant StrainsParaquatParkinson DiseasePars CompactaRiskDopamine Plasma Membrane Transport ProteinsManebParaquatAnimal modelEnvironmental toxinsNeurodegenerationParkinson's diseaseStereology

Identifiers

PMID28038352
PMCPMC5292275
OpenAlexW2558647963

What OpenQuestion holds

Textmetadata
LicenceTDM
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.