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Implementation and evaluation of amyloidosis subtyping by laser-capture microdissection and tandem mass spectrometry.
Mollee, Peter; Boros, Samuel; Loo, Dorothy; Ruelcke, Jayde E; Lakis, Vanessa A; Cao, Kim-Anh Lê; Renaut, Patricia; Hill, Michelle M.
Afiliación
  • Mollee P; Amyloidosis Centre, Princess Alexandra Hospital, Brisbane, QLD 4102 Australia.
  • Boros S; Anatomical Pathology Department, Pathology Queensland, Princess Alexandra Hospital, Brisbane, QLD Australia.
  • Loo D; The University of Queensland Diamantina Institute, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD 4102 Australia.
  • Ruelcke JE; The University of Queensland Diamantina Institute, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD 4102 Australia.
  • Lakis VA; The University of Queensland Diamantina Institute, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD 4102 Australia.
  • Cao KL; The University of Queensland Diamantina Institute, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD 4102 Australia.
  • Renaut P; Anatomical Pathology Department, Pathology Queensland, Princess Alexandra Hospital, Brisbane, QLD Australia.
  • Hill MM; The University of Queensland Diamantina Institute, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD 4102 Australia.
Clin Proteomics ; 13: 30, 2016.
Article en En | MEDLINE | ID: mdl-27795698
BACKGROUND: Correct identification of the amyloidosis-causing protein is crucial for clinical management. Recently the Mayo Clinic reported laser-capture microdissection (LCM) with liquid chromatography-coupled tandem mass spectrometry (MS/MS) as a new diagnostic tool for amyloid diagnosis. Here, we report an independent implementation of this proteomic diagnostics method at the Princess Alexandra Hospital Amyloidosis Centre in Brisbane, Australia. RESULTS: From 2010 to 2014, 138 biopsies received from 35 different organ sites were analysed by LCM-MS/MS using Congo Red staining to visualise amyloid deposits. There was insufficient tissue in the block for LCM for 7 cases. An amyloid forming protein was ultimately identified in 121 out of 131 attempted cases (94 %). Of the 121 successful cases, the Mayo Clinic amyloid proteomic signature (at least two of Serum Amyloid P, ApoE and ApoA4) was detected in 92 (76 %). Low levels of additional amyloid forming proteins were frequently identified with the main amyloid forming protein, which may reflect co-deposition of fibrils. Furthermore, vitronectin and clusterin were frequently identified in our samples. Adding vitronectin to the amyloid signature increases the number of positive cases, suggesting a potential 4th protein for the signature. In terms of clinical impact, amyloid typing by immunohistochemistry was attempted in 88 cases, reported as diagnostic in 39, however, 5 were subsequently revealed by proteomic analysis to be incorrect. Overall, the referring clinician's diagnosis of amyloid subtype was altered by proteomic analysis in 24 % of cases. While LCM-MS/MS was highly robust in protein identification, clinical information was still required for subtyping, particularly for systemic versus localized amyloidosis. CONCLUSIONS: This study reports the independent implementation and evaluation of a proteomics-based diagnostic for amyloidosis subtyping. Our results support LCM-MS/MS as a powerful new diagnostic technique for amyloidosis, but also identified some challenges and further development opportunities.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Clin Proteomics Año: 2016 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Clin Proteomics Año: 2016 Tipo del documento: Article Pais de publicación: Reino Unido