Evidence map›Paper›PMID 31969802›Full record

ReviewFrontiers in neuroscience2019

Vesicular Dysfunction and the Pathogenesis of Parkinson's Disease: Clues From Genetic Studies.

Kirsten Ebanks, Patrick A Lewis, Rina Bandopadhyay

Abstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Article
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  4. [Brain communications · 2025
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  8. Review
  9. Review
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  13. Lysosomal Pathogenesis of Parkinson's Disease: Insights From LRRK2 and GBA1 Rodent Models.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Review
  14. Article
  15. Article
  16. Article
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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

3 authors.

Kirsten EbanksReta Lila Weston Institute, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
Patrick A LewisSchool of Pharmacy, University of Reading, Reading, United Kingdom.
Rina BandopadhyayReta Lila Weston Institute, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.

Funding

Medical Research Council MR/M02492X/1Medical Research Council MR/N026004/1
6 · The paper itself

Abstract

Parkinson's disease (PD) is a common age-related neurodegenerative disorder with disabling motor symptoms and no available disease modifying treatment. The majority of the PD cases are of unknown etiology, with both genetics and environment playing important roles. Over the past 25 years, however, genetic analysis of patients with familial history of Parkinson's and, latterly, genome wide association studies (GWAS) have provided significant advances in our understanding of the causes of the disease. These genetic insights have uncovered pathways that are affected in both genetic and sporadic forms of PD. These pathways involve oxidative stress, abnormal protein homeostasis, mitochondrial dysfunction, and lysosomal defects. In addition, newly identified PD genes and GWAS nominated genes point toward synaptic changes involving vesicles. This review will highlight the genes that contribute PD risk relating to intracellular vesicle trafficking and their functional consequences. There is still much to investigate on this newly identified and converging pathway of vesicular dynamics and PD, which will aid in better understanding and suggest novel therapeutic strategies for PD patients.

Indexed as

alpha-synucleingeneticsgenome wide association studiesleucine-rich repeat kinase 2lysosomal dysfunctionParkinson’s diseaseRab proteinsvesicular dysfunction

Identifiers

PMID31969802
PMCPMC6960401

What OpenQuestion holds

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Registered trials

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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.