Evidence map›Paper›PMID 28289078›Full record

ReviewEMBO molecular medicine2017

Delivery is key: lessons learnt from developing splice-switching antisense therapies.

Caroline Godfrey, Lourdes R Desviat, Bård Smedsrød, France Piétri-Rouxel, Michela A Denti, Petra Disterer, Stéphanie Lorain, Gisela Nogales-Gadea, Valentina Sardone, Rayan Anwar and 8 more

Abstract readReview
In one paragraph

Review in EMBO molecular medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 1 pooled it
–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

92 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Antisense RNA therapies for muscular dystrophies.Journal of neuromuscular diseases · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Synthesis of New Polyfluoro Oligonucleotides via Staudinger Reaction.International journal of molecular sciences · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

32 more citing papers are in PubMed but not listed here.

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

18 authors.

Caroline GodfreyDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.
Lourdes R DesviatCentro de Biología Molecular Severo Ochoa UAM-CSIC, CIBERER, IdiPaz, Universidad Autónoma de Madrid, Madrid, Spain.
Bård SmedsrødDepartment of Medical Biology, University of Tromsø, Tromsø, Norway.
France Piétri-RouxelUPMC, INSERM, UMRS 974, CNRS FRE 3617, Institut de Myologie, Paris, France.
Michela A DentiCentre for Integrative Biology, University of Trento, Trento, Italy.
Petra DistererCentre for Amyloidosis and Acute Phase Proteins, Division of Medicine, University College London, London, UK.
Stéphanie LorainUPMC, INSERM, UMRS 974, CNRS FRE 3617, Institut de Myologie, Paris, France.
Gisela Nogales-GadeaGrup d'Investigació en Malalties Neuromusculars i Neuropediatriques, Institut d' Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona Barcelona, Spain.
Valentina SardoneDubowitz Neuromuscular Centre and Developmental Neuroscience Programme, Institute of Child Health, University College London, London, UK.
Rayan AnwarDrug Discovery Informatics Lab, Qasemi-Research Center, Al-Qasemi Academic College, Baka El-Garbiah, Israel.
Samir El AndaloussiDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.
Taavi LehtoDepartment of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden.
Bernard KhooCentre for Neuroendocrinology, Division of Medicine, University College London, London, UK.
Camilla BrolinDepartment of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark.
Willeke Mc van Roon-MomDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Aurélie GoyenvalleINSERM U1179, UFR des sciences de la santé, Université Versailles Saint Quentin, Montigny-le-Bretonneux, France.
Annemieke Aartsma-RusDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Virginia Arechavala-GomezaNeuromuscular Disorders Group, BioCruces Health Research Institute, Barakaldo Bizkaia, Spain virginia.arechavalagomeza@osakidetza.eus.ORCID 0000-0001-7703-3255

Funding

British Heart Foundation PG/12/20/29469Medical Research Council G0802469Wellcome Trust
6 · The paper itself

Abstract

The use of splice-switching antisense therapy is highly promising, with a wealth of pre-clinical data and numerous clinical trials ongoing. Nevertheless, its potential to treat a variety of disorders has yet to be realized. The main obstacle impeding the clinical translation of this approach is the relatively poor delivery of antisense oligonucleotides to target tissues after systemic delivery. We are a group of researchers closely involved in the development of these therapies and would like to communicate our discussions concerning the validity of standard methodologies currently used in their pre-clinical development, the gaps in current knowledge and the pertinent challenges facing the field. We therefore make recommendations in order to focus future research efforts and facilitate a wider application of therapeutic antisense oligonucleotides.

Indexed as

RNA SplicingAnimalsDrug Administration RoutesDrug Delivery SystemsDrug Evaluation, PreclinicalGenetic TherapyHumansOligonucleotides, AntisenseOligonucleotides, Antisenseantisense oligonucleotidesdeliverypre‐clinical modelsRNA therapytoxicity

Identifiers

PMID28289078
PMCPMC5412803

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.