Department of Neurology and Department of Experimental and Clinical Neuroimmunology, University Medicine Göttingen, Waldweg 33, 37073 Göttingen, Germany.
Abstract
BACKGROUND: In the pathology of sporadic inclusion body myositis (sIBM), the relevance of cell stress molecules such as the heat shock protein alphaB-crystallin, particularly in healthy appearing muscle fibres, has remained elusive.
METHODS: 10 muscle biopsies from sIBM patients were serially stained for haematoxylin-eosin, trichrome and multi-immunohistochemistry for neural cell adhesion molecule (NCAM), alphaB-crystallin, amyloid precursor protein (APP), desmin, major histocompatibility complex I, beta-amyloid and ubiquitin. Corresponding areas of all biopsies were quantitatively analysed for all markers. Primary myotube cultures were exposed to the proinflammatory cytokines interleukin (IL)-1beta and interferon (IFN)-gamma.
RESULTS: In human myotubes exposed to IL-1beta+IFN-gamma, overexpression of APP was accompanied by upregulation of alphaB-crystallin. In sIBM muscle biopsies, over 20% of all fibres displayed accumulation of beta-amyloid or vacuoles/inclusions. A clearly larger fraction of the fibres were positive for alphaB-crystallin or APP. In contrast with the accumulation of beta-amyloid in atrophic fibres, a major part of fibres positive for APP or alphaB-crystallin showed no morphological abnormalities. Expression of APP and alphaB-crystallin significantly correlated with each other and most double positive fibres displayed accumulation of beta-amyloid, vacuoles or an atrophic morphology. In almost all of these fibres, other markers of degeneration/regeneration such as NCAM and desmin were evident as additional indicators of a cell stress response. Some fibres double positive for APP and alphaB-crystallin displayed infiltration by inflammatory cells.
CONCLUSION: Our results suggest that alphaB-crystallin is associated with overexpression of APP in sIBM muscle and that upregulation of alphaB-crystallin precedes accumulation of beta-amyloid. The data help to better understand early pathological changes and underscore the fact that a network of cell stress, inflammation and degeneration is relevant to sIBM.