Evidence map›Paper›PMID 19384892›Full record

ArticleThe journal of gene medicine2009

Intra-articular gene delivery and expression of interleukin-1Ra mediated by self-complementary adeno-associated virus.

Jesse D Kay, Elvire Gouze, Thomas J Oligino, Jean-Noel Gouze, Rachael S Watson, Padraic P Levings, Marsha L Bush, Anthony Dacanay, David M Nickerson, Paul D Robbins and 2 more

Open access · greenAbstract read
In one paragraph

Article in The journal of gene medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

37 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Gene therapy approaches for equine osteoarthritis.Frontiers in veterinary science · 2022
    Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. IL-1RA suppresses esophageal cancer cell growth by blocking IL-1α.Journal of clinical laboratory analysis · 2019
    Article
  15. Article
  16. Article
  17. The challenges of promoting osteogenesis in segmental bone defects and osteoporosis.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Review
  18. Article
  19. Gene therapy for chondral and osteochondral regeneration: is the future now?Cellular and molecular life sciences : CMLS · 2018
    Review
  20. Review
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

12 authors at 4 institutions in 1 country.

Jesse D KayDepartment of Orthopaedics and Rehabilitation, University of Florida College of Medicine, Gainesville, 32610-0137, USA.
Elvire Gouze
Thomas J Oligino
Jean-Noel Gouze
Rachael S Watson
Padraic P Levings
Marsha L Bush
Anthony Dacanay
David M Nickerson
Paul D Robbins
Christopher H Evans
Steven C Ghivizzani
University of Florida · USUniversity of Central Florida · USBrigham and Women's Hospital · USUniversity of Pittsburgh · US

Funding

Utility of AAV Serotypes for Gene Delivery in Treatment of Chronic Joint DiseaseR01AR048566 · NIAMS · UNIVERSITY OF FLORIDA · PI GHIVIZZANI, STEVEN C · 2003 to 2013
$3.6M
Gene Delivery to Cartilage Defects via Marrow CoagulatesR01AR050249 · NIAMS · UNIVERSITY OF FLORIDA · PI GHIVIZZANI, STEVEN C · 2003 to 2007
$1.7M
NIAMS NIH HHS AR048566NIAMS NIH HHS AR05249NIAMS NIH HHS R01 AR048566NIAMS NIH HHS R01 AR050249
6 · The paper itself

Abstract

backgroundThe adeno-associated virus (AAV) has many safety features that favor its use in the treatment of arthritic conditions; however, the conventional, single-stranded vector is inefficient for gene delivery to fibroblastic cells that primarily populate articular tissues. This has been attributed to the inability of these cells to convert the vector to a double-stranded form. To overcome this, we evaluated double-stranded self-complementary (sc) AAV as a vehicle for intra-articular gene delivery.

methodsConventional and scAAV vectors were used to infect lapine articular fibroblasts in culture to determine transduction efficiency, transgene expression levels, and nuclear trafficking. scAAV containing the cDNA for interleukin (IL)-1 receptor antagonist (Ra) was delivered to the joints of naïve rabbits and those with IL-1beta-induced arthritis. From lavage of the joint space, levels of transgenic expression and persistence were measured by enzyme-linked immunosorbent assay. Infiltrating leukocytes were quantified using a hemocytometer.

resultsTransgene expression from scAAV had an earlier onset and was approximately 25-fold greater than conventional AAV despite the presence of similar numbers of viral genomes in the nuclei of infected cells. Fibroblasts transduced with scAAV produced amounts of IL1-Ra comparable to those transduced with adenoviral and lentiviral vectors. IL1-Ra was present in lavage fluid of most animals for 2 weeks in sufficient quantities to inhibit inflammation of the IL-1beta-driven model. Once lost, neither subsequent inflammatory events, nor re-administration of the virus could re-establish transgene expression.

conclusionsscAAV-mediated intra-articular gene transfer is robust and similarly efficient in both normal and inflamed joints; the resulting transgenic expression is sufficient to achieve biological relevance in joints of human proportion.

Indexed as

Gene Transfer TechniquesInjections, Intra-ArticularAnimalsArthritisCartilage, ArticularCells, CulturedDependovirusFibroblastsGenetic TherapyGenetic VectorsHumansInterleukin 1 Receptor Antagonist ProteinRabbitsTransgenesInterleukin 1 Receptor Antagonist Protein

Identifiers

PMID19384892
PMCPMC2876984
OpenAlexW2123446031

What OpenQuestion holds

Textmetadata
LicenceTDM
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.