Evidence map›Paper›PMID 37811970›Full record

ArticleJournal of visualized experiments : JoVE2023

Measuring Constipation in a Drosophila Model of Parkinson's Disease.

Maggie J Sodders, Ming Shen, Abby L Olsen

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2023. 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
–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

1 citing paper in PubMed.

  1. Article
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.

Maggie J SoddersPittsburgh Institute for Neurodegenerative Diseases, Department of Neurology, University of Pittsburgh.
Ming ShenPittsburgh Institute for Neurodegenerative Diseases, Department of Neurology, University of Pittsburgh.
Abby L OlsenPittsburgh Institute for Neurodegenerative Diseases, Department of Neurology, University of Pittsburgh; abby.olsen@pitt.edu.

Funding

Defining the genetic contribution of glia in Parkinson's disease pathogenesisK08NS109344 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI OLSEN, ABBY LAUREN · 2018 to 2022
$997k
NINDS NIH HHS K08 NS109344
6 · The paper itself

Abstract

Non-motor symptoms in Parkinson's disease (PD) are common, difficult to treat, and significantly impair quality of life. One prevalent non-motor symptom is constipation, which can precede the diagnosis of PD by years or even decades. Constipation has been underexplored in animal models of PD and lacks specific therapies. This assay utilizes a Drosophila model of PD in which human alpha-synuclein is expressed under a pan-neuronal driver. Flies expressing alpha-synuclein develop the hallmark features of PD: the loss of dopaminergic neurons, motor impairment, and alpha-synuclein inclusions. This protocol outlines a method for studying constipation in these flies. Flies are placed on fly food with a blue color additive overnight and then transferred to standard food the following day. They are subsequently moved to new vials with standard fly food every hour for 8 h. Before each transfer, the percentage of blue-colored fecal spots compared to the total fecal spots on the vial wall is calculated. Control flies that lack alpha-synuclein expel all the blue dye hours before flies expressing alpha-synuclein. Additionally, the passage of blue-colored food from the gut can be monitored with simple photography. The simplicity of this assay enables its use in forward genetic or chemical screens to identify modifiers of constipation in Drosophila.

Indexed as

Parkinson Diseasealpha-SynucleinAnimalsConstipationDisease Models, AnimalDopaminergic NeuronsDrosophilaHumansQuality of Lifealpha-Synuclein

Identifiers

PMID37811970
PMCPMC10636702

What OpenQuestion holds

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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.