Liquid jet delivery method featuring S100A1 gene therapy in the rodent model following acute myocardial infarction View Full Text


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Article Info

DATE

2016-02

AUTHORS

Anthony S. Fargnoli, Michael G. Katz, Richard D. Williams, Andrew P. Kendle, Nury Steuerwald, Charles R. Bridges

ABSTRACT

The S100A1 gene is a promising target enhancing contractility and survival post myocardial infarction (MI). Achieving sufficient gene delivery within safety limits is a major translational problem. This proof of concept study evaluates viral mediated S100A1 overexpression featuring a novel liquid jet delivery (LJ) method. Twenty-four rats after successful MI were divided into three groups (n = 8 ea.): saline control (SA); ssAAV9.S100A1 (SS) delivery; and scAAV9.S100A1 (SC) delivery (both 1.2 × 10¹¹ viral particles). For each post MI rat, the LJ device fired three separate 100 μl injections into the myocardium. Following 10 weeks, all rats were evaluated with echocardiography, quantitative PCR (qPCR) and overall S100A1 and CD38 immune protein. At 10 weeks all groups demonstrated a functional decline from baseline, but the S100A1 therapy groups displayed preserved left ventricular function with significantly higher ejection fraction %; SS group (60 ± 3) and SC group (57 ± 4) versus saline (46 ± 3), P < 0.05. Heart qPCR testing showed robust S100A1 in the SS (10,147 ± 3993) and SC (35,155 ± 5808) copies per 100 ng DNA, while off-target liver detection was lower in both SS (40 ± 40), SC (34,841 ± 3164), respectively. Cardiac S100A1 protein expression was (4.3 ± 0.2) and (6.1 ± 0.3) fold higher than controls in the SS and SC groups, respectively, P < 0.05. More... »

PAGES

151

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/gt.2015.100

    DOI

    http://dx.doi.org/10.1038/gt.2015.100

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037712525

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26461176


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    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/gt.2015.100'


     

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