Evidence map›Paper›PMID 36323700›Full record

ArticleNPJ Parkinson's disease2022

Vexed mutations promote degeneration of dopaminergic neurons through excessive activation of the innate immune response.

Jacinta Davis, Elizabeth Kolaski, Daniel T Babcock

Open access · goldAbstract read
In one paragraph

Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Jacinta DavisDepartment of Biological Sciences, Lehigh University, Bethlehem, PA, USA.ORCID http://orcid.org/0000-0001-6803-8732
Elizabeth KolaskiDepartment of Biological Sciences, Lehigh University, Bethlehem, PA, USA.
Daniel T BabcockDepartment of Biological Sciences, Lehigh University, Bethlehem, PA, USA. dab416@lehigh.edu.
Lehigh University · US

Funding

Regulation of Synaptic Dysfunction and Maintenance with age using DrosophilaR01NS110727 · NINDS · LEHIGH UNIVERSITY · PI BABCOCK, DANIEL T. · 2019 to 2023
$1.7M
NINDS NIH HHS R01 NS110727U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 1 R01 NS110727-
6 · The paper itself

Abstract

The hallmark of Parkinson's disease (PD) is the loss of dopaminergic (DA) neurons in the brain. However, little is known about why DA neurons are selectively vulnerable to PD. We previously completed a screen identifying genes associated with the progressive degeneration of DA neurons. Here we describe the role of a previously uncharacterized gene, CG42339, in the loss of DA neurons using Drosophila Melanogaster. CG42339 mutants display a progressive loss of DA neurons and locomotor dysfunction, along with an accumulation of advanced glycation end products (AGEs) in the brain. Based on this phenotype, we refer to CG42339 as vexed. We demonstrate that vexed is specifically required within cortex glia to maintain neuronal viability. Loss of vexed function results in excessive activation of the innate immune response in the brain, leading to loss of DA neurons. We show that activation of the innate immune response leads to increased nitric oxide signaling and accumulation of AGEs, which ultimately result in neurodegeneration. These results provide further insight into the relationship between the role of the immune response in the central nervous system and how this impacts neuronal viability.

Identifiers

PMID36323700
PMCPMC9630459
OpenAlexW4307922501

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.