Evidence map›Paper›PMID 29402177›Full record

ReviewStem cells and development2018

In Vitro Modeling of Leucine-Rich Repeat Kinase 2 G2019S-Mediated Parkinson's Disease Pathology.

Scott C Vermilyea, Marina E Emborg

Abstract readReview
In one paragraph

Review in Stem cells and development, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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.

Scott C Vermilyea1 Neuroscience Training Program, University of Wisconsin , Madison, Wisconsin.
Marina E Emborg1 Neuroscience Training Program, University of Wisconsin , Madison, Wisconsin.

Funding

WNPRC Supplemental Request for Nonhuman Primate Enclosures to Equip HIV/AIDS-Related Research FacilitiesP51OD011106 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI Dorota A. Grejner-Brzezinska · 2012 to 2026
$150.7M
NIH HHS P51 OD011106Office of the Director R24 OD019803
6 · The paper itself

Abstract

Leucine-rich repeat kinase 2 (LRRK2) G2019S (glycine to serine) is the most common mutation associated with sporadic and familial Parkinson's disease (PD) with 80% penetrance by age 70. This mutation is found worldwide, with up to 40% of individuals in the North African Arab population carrying the mutation. Induced pluripotent stem cells derived from fibroblasts of patients carrying the LRRK2 G2019S mutation have been a critical source of cells for generating dopaminergic neurons and studying G2019S-related pathology. These studies have elucidated LRRK2-related mechanisms of mitochondrial dysregulation, increased reactive oxygen species, truncated and simplified neurites, and cell death. These phenotypes are thought to result from the G2019S mutation increasing substrate access and therefore increasing the catalytic rate of the serine/threonine kinase. In this article, we critically review the contributions of in vitro modeling to the current knowledge on LRRK2 G2019S. We also analyze the role of patient-derived cell lines for the identification and validation of therapeutic targets, emphasizing their importance as part of a 3R approach to translational research and personalized medicine.

Indexed as

Translational Research, BiomedicalGlycineHumansLeucine-Rich Repeat Serine-Threonine Protein Kinase-2MitochondriaMutationParkinson DiseasePrecision MedicineReactive Oxygen SpeciesSerineGlycineLeucine-Rich Repeat Serine-Threonine Protein Kinase-2LRRK2 protein, humanReactive Oxygen SpeciesSerinekinase inhibitorsLRRK2 G2019SParkinson's diseasepatient-derived cells

Identifiers

PMID29402177
PMCPMC6044417

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.