Evidence map›Paper›PMID 29035327›Full record

ReviewJournal of personalized medicine2017

Immortalized Muscle Cell Model to Test the Exon Skipping Efficacy for Duchenne Muscular Dystrophy.

Quynh Nguyen, Toshifumi Yokota

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 45 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Quynh NguyenDepartment of Medical Genetics, Faculty of Medicine and Dentistry, University of Alberta, 8812-112 St., Edmonton, AB T6G 2H7, Canada. nguyenth@ualberta.ca.
Toshifumi YokotaDepartment of Medical Genetics, Faculty of Medicine and Dentistry, University of Alberta, 8812-112 St., Edmonton, AB T6G 2H7, Canada. toshifum@ualberta.ca.ORCID 0000-0001-6672-6742
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Duchenne muscular dystrophy (DMD) is a lethal genetic disorder that most commonly results from mutations disrupting the reading frame of the dystrophin (DMD) gene. Among the therapeutic approaches employed, exon skipping using antisense oligonucleotides (AOs) is one of the most promising strategies. This strategy aims to restore the reading frame, thus producing a truncated, yet functioning dystrophin protein. In 2016, the Food and Drug Administration (FDA) conditionally approved the first AO-based drug, eteplirsen (Exondys 51), developed for DMD exon 51 skipping. An accurate and reproducible method to quantify exon skipping efficacy is essential for evaluating the therapeutic potential of different AOs sequences. However, previous in vitro screening studies have been hampered by the limited proliferative capacity and insufficient amounts of dystrophin expressed by primary muscle cell lines that have been the main system used to evaluate AOs sequences. In this paper, we illustrate the challenges associated with primary muscle cell lines and describe a novel approach that utilizes immortalized cell lines to quantitatively evaluate the exon skipping efficacy in in vitro studies.

Indexed as

antisense oligonucleotide-mediated exon skipping therapyC2C12cyclin-dependent-kinase 4 (Cdk4)Duchenne/Becker muscular dystrophy (DMD/BMD)dystrophin-glycoprotein complex (DGC)golodirsen (SRP-4053)hDMD micehuman telomerase reverse transcriptase (hTERT)NS-065/NCNP-01phosphorodiamidate morpholino oligomers (PMOs or morpholinos)

Identifiers

PMID29035327
PMCPMC5748625
OpenAlexW2765953427

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.