Evidence map›Paper›PMID 28202670›Full record

ReviewBiochemical Society transactions2017

Mechanisms of LRRK2-dependent neurodegeneration: role of enzymatic activity and protein aggregation.

Md Shariful Islam, Darren J Moore

Open access · greenAbstract readReview
In one paragraph

Review in Biochemical Society transactions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Article
  3. LRRK2 as a Potential Disease-Modifying Target in Sporadic Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Mass spectrometry-based proteomics for biomarker discovery in theNeuroprotection (Chichester, England) · 2024
    Review
  9. Article
  10. Review
  11. Regulation of TIR-1/SARM-1 by miR-71 Protects Dopaminergic Neurons in aInternational journal of molecular sciences · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. 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
  18. LRRK2 and Proteostasis in Parkinson's Disease.International journal of molecular sciences · 2022
    Review
  19. Review
  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

2 authors at 1 institution in 1 country.

Md Shariful IslamCenter for Neurodegenerative Science, Van Andel Research Institute, 333 Bostwick Ave NE, Grand Rapids, MI, U.S.A.
Darren J MooreCenter for Neurodegenerative Science, Van Andel Research Institute, 333 Bostwick Ave NE, Grand Rapids, MI, U.S.A. darren.moore@vai.org.
Van Andel Institute · US

Funding

Novel Mechanisms of LRRK2-Dependent Neurodegeneration in Parkinson's DiseaseR01NS091719 · NINDS · VAN ANDEL RESEARCH INSTITUTE · PI MOORE, DARREN JOHN · 2015 to 2019
$2.1M
NINDS NIH HHS R01 NS091719
6 · The paper itself

Abstract

Mutations in the

Indexed as

Mutationalpha-SynucleinGTP PhosphohydrolasesHumansLeucine-Rich Repeat Serine-Threonine Protein Kinase-2Models, GeneticNeurodegenerative DiseasesProtein AggregatesProtein Aggregation, Pathologicaltau Proteinsalpha-SynucleinGTP PhosphohydrolasesLeucine-Rich Repeat Serine-Threonine Protein Kinase-2Protein Aggregatestau Proteinscell deathenzyme activityleucine-rich repeat kinaseneurodegenerationParkinson's diseaseprotein aggregation

Identifiers

PMID28202670
PMCPMC5521802
OpenAlexW2588340423

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.