Title |
Muscle biopsy features of idiopathic inflammatory myopathies and differential diagnosis
|
---|---|
Published in |
Autoimmunity Highlights, September 2014
|
DOI | 10.1007/s13317-014-0062-2 |
Pubmed ID | |
Authors |
Gaetano Vattemi, Massimiliano Mirabella, Valeria Guglielmi, Matteo Lucchini, Giuliano Tomelleri, Anna Ghirardello, Andrea Doria |
Abstract |
The gold standard to characterize idiopathic inflammatory myopathies is the morphological, immunohistochemical and immunopathological analysis of muscle biopsy. Mononuclear cell infiltrates and muscle fiber necrosis are commonly shared histopathological features. Inflammatory cells that surround, invade and destroy healthy muscle fibers expressing MHC class I antigen are the typical pathological finding of polymyositis. Perifascicular atrophy and microangiopathy strongly support a diagnosis of dermatomyositis. Randomly distributed necrotic muscle fibers without mononuclear cell infiltrates represent the histopathological hallmark of immune-mediated necrotizing myopathy; meanwhile, endomysial inflammation and muscle fiber degeneration are the two main pathological features in sporadic inclusion body myositis. A correct differential diagnosis requires immunopathological analysis of the muscle biopsy and has important clinical implications for therapeutic approach. In particular, unnecessary, potentially harmful, immune-suppressive therapy should be avoided alike in dystrophic myopathies with secondary inflammation. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Bulgaria | 1 | 50% |
Colombia | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 100 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Postgraduate | 14 | 14% |
Other | 12 | 12% |
Researcher | 11 | 11% |
Student > Ph. D. Student | 7 | 7% |
Student > Bachelor | 6 | 6% |
Other | 19 | 19% |
Unknown | 31 | 31% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 34 | 34% |
Biochemistry, Genetics and Molecular Biology | 7 | 7% |
Agricultural and Biological Sciences | 6 | 6% |
Neuroscience | 5 | 5% |
Nursing and Health Professions | 4 | 4% |
Other | 11 | 11% |
Unknown | 33 | 33% |