
doi: 10.1089/hum.2014.086
pmid: 25184444
Several translational challenges are currently impeding the therapeutic development of antisense-mediated exon skipping approaches for rare diseases. Some of these are inherent to developing therapies for rare diseases, such as small patient numbers and limited information on natural history and interpretation of appropriate clinical outcome measures. Others are inherent to the antisense oligonucleotide (AON)-mediated exon skipping approach, which employs small modified DNA or RNA molecules to manipulate the splicing process. This is a new approach and only limited information is available on long-term safety and toxicity for most AON chemistries. Furthermore, AONs often act in a mutation-specific manner, in which case multiple AONs have to be developed for a single disease. A workshop focusing on preclinical development, trial design, outcome measures, and different forms of marketing authorization was organized by the regulatory models and biochemical outcome measures working groups of Cooperation of Science and Technology Action: "Networking towards clinical application of antisense-mediated exon skipping for rare diseases." The workshop included participants from patient organizations, academia, and members of staff from the European Medicine Agency and Medicine Evaluation Board (the Netherlands). This statement article contains the key outcomes of this meeting.
MDX MICE, MUTATIONS, RNA Splicing, DISEASE PROGRESSION, NATURAL-HISTORY, Exons, Genetic Therapy, MUSCLE, RESCUE, Oligonucleotides, Antisense, ANTISENSE OLIGONUCLEOTIDES, DUCHENNE MUSCULAR-DYSTROPHY, MODEL, Muscular Dystrophy, Duchenne, MORPHOLINO, Animals, Humans, Netherlands
MDX MICE, MUTATIONS, RNA Splicing, DISEASE PROGRESSION, NATURAL-HISTORY, Exons, Genetic Therapy, MUSCLE, RESCUE, Oligonucleotides, Antisense, ANTISENSE OLIGONUCLEOTIDES, DUCHENNE MUSCULAR-DYSTROPHY, MODEL, Muscular Dystrophy, Duchenne, MORPHOLINO, Animals, Humans, Netherlands
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 43 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
