Literature DB >> 18996010

Sarcoglycanopathies: can muscle immunoanalysis predict the genotype?

Lars Klinge1, Gabriele Dekomien, Ahmed Aboumousa, Richard Charlton, Jörg T Epplen, Rita Barresi, Kate Bushby, Volker Straub.   

Abstract

Muscle immunoanalysis of the sarcoglycan complex is an important part of the diagnostic evaluation of muscle biopsies in patients with autosomal recessive limb-girdle muscular dystrophy. Reduced or absent sarcolemmal expression of one or all of the four sarcoglycans (alpha-, beta-, gamma-, delta-sarcoglycan) can be found in patients with limb-girdle muscular dystrophy 2C-F (LGMD2C-F) and also in patients with Duchenne and Becker muscular dystrophy (DMD/BMD). It has previously been suggested that different patterns of sarcoglycan expression could predict the primary genetic defect, and that genetic analysis could be directed by these patterns. In this first UK study we studied 24 genetically characterized patients with sarcoglycan deficient LGMD, in 22 of whom muscle immunoanalysis data were available. Thirteen patients showed alpha-sarcoglycan deficient LGMD2D, 7 patients beta-sarcoglycan deficient LGMD2E, 3 patients gamma-sarcoglycan deficient LGDM2C, and one patient delta-sarcoglycan deficient LGMD2F. Muscle biopsies were analysed in one centre without knowledge of the established genetic diagnosis. Our results demonstrated that residual sarcoglycan expression is highly variable and does not enable an accurate prediction of the genotype. Considering previous reports of sarcoglycanopathy patients with an isolated loss of one sarcoglycan we recommend to use antibodies against all four sarcoglycans for immunoanalysis of skeletal muscle sections. A concomitant reduction of dystrophin and beta-dystroglycan was observed more frequently than previously reported and illustrates the important differential diagnosis of DMD and BMD for sarcoglycan deficient LGMD.

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Year:  2008        PMID: 18996010     DOI: 10.1016/j.nmd.2008.08.003

Source DB:  PubMed          Journal:  Neuromuscul Disord        ISSN: 0960-8966            Impact factor:   4.296


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