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Record W2563648084 · doi:10.1016/s1525-0016(16)33431-1

623. Dystrophin Exon 52-Deleted Pigs as a New Animal Model of Duchenne Muscular Dystrophy: Its Characterization and Potential as a Tool for Developing Exon Skipping Therapy

2016· article· en· W2563648084 on OpenAlexaff
Yusuke Echigoya, Nhu Trieu, Kana Hosoki, William Duddy, Terence A. Partridge, Eric P. Hoffman, Joe N. Kornegay, Christopher S. Rogers, Toshifumi Yokota

Bibliographic record

VenueMolecular Therapy · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDystrophinExon skippingDuchenne muscular dystrophyExonMuscular dystrophyBiologyMutationmdx mouseBioinformaticsGeneticsGeneMedicineAlternative splicing

Abstract

fetched live from OpenAlex

Duchenne muscular dystrophy (DMD) is a lethal X-linked recessive disorder primarily affecting boys, which is caused by mutations in the dystrophin (DMD) gene and the subsequent lack of dystrophin protein. Patients exhibit progressive degeneration and weakness in bodywide muscles, leading to death due to respiratory or cardiac failure. Currently, a most promising therapeutic approach is exon skipping with antisense oligonucleotides (AOs), which can correct the reading frame of mutant dystrophin mRNA and restore truncated-yet-functional dystrophin protein. Dystrophic mouse and dog models have been widely used for developing exon skipping therapies, as well as for improving scientific understanding of DMD pathogenesis; however, currently available animal models have a few limitations: First, they do not always share similar disease phenotypes with DMD patients (e.g., milder symptoms). Second, their available mutation patterns are limited, reducing applicability for research (importantly, AO drugs for exon skipping need to be developed according to mutation patterns). Lastly, mice and dogs are far from humans in terms of their anatomy, physiology, and genetics, which could prove a hurdle to interpreting and extrapolating treatment effects from animal to human. Although the wide variety of currently available animal models may partially compensate for some drawbacks, a more suitable animal model is most desirable to overcome them. Here, we generated a new DMD animal model of miniature pigs. Exon 52 deletion, one of the most common mutation patterns in the human DMD gene, was created in the pig dystrophin gene using a combination technique involving somatic cell nuclear transfer and gene targeting. The pig model systemically produced out-of-frame dystrophin mRNA transcripts lacking exon 52. Accordingly, no expression of dystrophin protein was observed in bodywide muscles, including the heart. Serum creatine kinase levels were dramatically increased, accompanied with histological deterioration in the muscles as observed in patients with DMD. We also tested AO-mediated exon skipping targeting exon 51 or 53 in primary skeletal muscle cells derived from the dystrophic pig model. The exon 52 deletion mutation is correctable by either exon 51 or 53 skipping which approach is theoretically applicable to the largest proportion of DMD patients (14% and 10%, respectively). AO sequences for skipping porcine exon 51 or 53 were designed as analogs of human AO sequences identified with our in silico AO design tool (Echigoya et al, PLoS One 2015 Mar 27;10(3):e0120058) and current antisense drugs under clinical trials. We successfully induced exon 51 or 53-excised transcripts in vitro with primary skeletal muscle cells derived from the exon 52-deleted transgenic pigs. We are currently planning in vivo exon skipping in the new pig model. Therapeutic outcomes derived from the DMD pig model could be more reliably extrapolated to human patients, facilitating development of novel AO drugs and translation into human clinical trials.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.245
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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