Evidence map›Paper›PMID 34115761›Full record

ArticlePloS one2021

Biophysical analysis of drug efficacy on C. elegans models for neurodegenerative and neuromuscular diseases.

Samuel Sofela, Sarah Sahloul, Yong-Ak Song

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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  8. Using aPharmaceuticals (Basel, Switzerland) · 2022
    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 at 1 institution in 2 countries.

Samuel SofelaDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.ORCID 0000-0002-8709-8084
Sarah SahloulDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Yong-Ak SongDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
New York University Abu Dhabi · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Caenorhabditis elegans has emerged as a powerful model organism for drug screening due to its cellular simplicity, genetic amenability and homology to humans combined with its small size and low cost. Currently, high-throughput drug screening assays are mostly based on image-based phenotyping with the focus on morphological-descriptive traits not exploiting key locomotory parameters of this multicellular model with muscles such as its thrashing force, a critical biophysical parameter when screening drugs for muscle-related diseases. In this study, we demonstrated the use of a micropillar-based force assay chip in combination with a fluorescence assay to evaluate the efficacy of various drugs currently used in treatment of neurodegenerative and neuromuscular diseases. Using this two-dimensional approach, we showed that the force assay was generally more sensitive in measuring efficacy of drug treatment in Duchenne Muscular Dystrophy and Parkinson's Disease mutant worms as well as partly in Amyotrophic Lateral Sclerosis model. These results underline the potential of our force assay chip in screening of potential drug candidates for the treatment of neurodegenerative and neuromuscular diseases when combined with a fluorescence assay in a two-dimensional analysis approach.

Indexed as

Caenorhabditis elegansDisease Models, AnimalNeuromuscular DiseasesAmyotrophic Lateral SclerosisAnimalsDrug Evaluation, PreclinicalHumansMuscular Dystrophy, DuchenneNeurodegenerative DiseasesParkinson Disease

Identifiers

PMID34115761
PMCPMC8195402
OpenAlexW3168869477

What OpenQuestion holds

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LicenceCC BY
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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.