Matches in SemOpenAlex for { <https://semopenalex.org/work/W3082764570> ?p ?o ?g. }
- W3082764570 endingPage "1864" @default.
- W3082764570 startingPage "1852" @default.
- W3082764570 abstract "ObjectiveTo map the occurrence of amyloid types in a large clinical cohort using mass spectrometry-based shotgun proteomics, an unbiased method that unambiguously identifies all amyloid types in a single assay.MethodsA mass spectrometry-based shotgun proteomics assay was implemented in a central reference laboratory. We documented our experience of typing 16,175 amyloidosis specimens over an 11-year period from January 1, 2008, to December 31, 2018.ResultsWe identified 21 established amyloid types, including AL (n=9542; 59.0%), ATTR (n=4600; 28.4%), ALECT2 (n=511; 3.2%), AA (n=463; 2.9%), AH (n=367; 2.3%), AIns (n=182; 1.2%), KRT5-14 (n=94; <1%), AFib (n=71; <1%), AApoAIV (n=57; <1%), AApoA1 (n=56; <1%), AANF (n=47; <1%), Aβ2M (n=38; <1%), ASem1 (n=34; <1%), AGel (n=29; <1%), TGFB1 (n=29; <1%), ALys (n=15; <1%), AIAPP (n=13; <1%), AApoCII (n=11; <1%), APro (n=8; <1%), AEnf (n=6; <1%), and ACal (n=2; <1%). We developed the first comprehensive organ-by-type map showing the relative frequency of 21 amyloid types in 31 different organs, and the first type-by-organ map showing organ tropism of 18 rare types. Using a modified bioinformatics pipeline, we detected amino acid substitutions in cases of hereditary amyloidosis with 100% specificity.ConclusionAmyloid typing by proteomics, which effectively recognizes all amyloid types in a single assay, optimally supports the diagnosis and treatment of amyloidosis patients in routine clinical practice." @default.
- W3082764570 created "2020-09-08" @default.
- W3082764570 creator A5000308170 @default.
- W3082764570 creator A5000992961 @default.
- W3082764570 creator A5002248011 @default.
- W3082764570 creator A5035511731 @default.
- W3082764570 creator A5052260788 @default.
- W3082764570 creator A5054902417 @default.
- W3082764570 creator A5064721834 @default.
- W3082764570 creator A5070995809 @default.
- W3082764570 creator A5074099210 @default.
- W3082764570 creator A5082179984 @default.
- W3082764570 creator A5084413271 @default.
- W3082764570 creator A5088357128 @default.
- W3082764570 date "2020-09-01" @default.
- W3082764570 modified "2023-10-14" @default.
- W3082764570 title "Amyloid Typing by Mass Spectrometry in Clinical Practice: a Comprehensive Review of 16,175 Samples" @default.
- W3082764570 cites W1556901591 @default.
- W3082764570 cites W1782334428 @default.
- W3082764570 cites W1965928109 @default.
- W3082764570 cites W1966557933 @default.
- W3082764570 cites W1977771220 @default.
- W3082764570 cites W1978083401 @default.
- W3082764570 cites W1978542424 @default.
- W3082764570 cites W1981593008 @default.
- W3082764570 cites W1982304467 @default.
- W3082764570 cites W1995801255 @default.
- W3082764570 cites W1997504014 @default.
- W3082764570 cites W2013703514 @default.
- W3082764570 cites W2020973783 @default.
- W3082764570 cites W2022856048 @default.
- W3082764570 cites W2023890387 @default.
- W3082764570 cites W2026465178 @default.
- W3082764570 cites W2030456544 @default.
- W3082764570 cites W2034537019 @default.
- W3082764570 cites W2046882226 @default.
- W3082764570 cites W2058509974 @default.
- W3082764570 cites W2071493841 @default.
- W3082764570 cites W2074965778 @default.
- W3082764570 cites W2082006641 @default.
- W3082764570 cites W2086702450 @default.
- W3082764570 cites W2096057003 @default.
- W3082764570 cites W2134947970 @default.
- W3082764570 cites W2147131374 @default.
- W3082764570 cites W2148197707 @default.
- W3082764570 cites W2151246487 @default.
- W3082764570 cites W2158280929 @default.
- W3082764570 cites W2162772358 @default.
- W3082764570 cites W2163260428 @default.
- W3082764570 cites W2171599257 @default.
- W3082764570 cites W2269123435 @default.
- W3082764570 cites W2300175348 @default.
- W3082764570 cites W2327237368 @default.
- W3082764570 cites W2330120407 @default.
- W3082764570 cites W2418301631 @default.
- W3082764570 cites W2421137370 @default.
- W3082764570 cites W2507289873 @default.
- W3082764570 cites W2545403780 @default.
- W3082764570 cites W2550424027 @default.
- W3082764570 cites W2555124885 @default.
- W3082764570 cites W2561410186 @default.
- W3082764570 cites W2575846051 @default.
- W3082764570 cites W2608753673 @default.
- W3082764570 cites W2609843981 @default.
- W3082764570 cites W2774660741 @default.
- W3082764570 cites W2788405474 @default.
- W3082764570 cites W2796384138 @default.
- W3082764570 cites W2800874355 @default.
- W3082764570 cites W2803963863 @default.
- W3082764570 cites W2809989268 @default.
- W3082764570 cites W2810909862 @default.
- W3082764570 cites W2886837338 @default.
- W3082764570 cites W2888036721 @default.
- W3082764570 cites W2892407441 @default.
- W3082764570 cites W2903029589 @default.
- W3082764570 cites W2903862847 @default.
- W3082764570 cites W2909222904 @default.
- W3082764570 cites W2952789707 @default.
- W3082764570 cites W2966119045 @default.
- W3082764570 cites W2991163369 @default.
- W3082764570 cites W3008215060 @default.
- W3082764570 cites W40987139 @default.
- W3082764570 cites W4240572343 @default.
- W3082764570 cites W4250499495 @default.
- W3082764570 cites W4256267494 @default.
- W3082764570 doi "https://doi.org/10.1016/j.mayocp.2020.06.029" @default.
- W3082764570 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32861330" @default.
- W3082764570 hasPublicationYear "2020" @default.
- W3082764570 type Work @default.
- W3082764570 sameAs 3082764570 @default.
- W3082764570 citedByCount "82" @default.
- W3082764570 countsByYear W30827645702020 @default.
- W3082764570 countsByYear W30827645702021 @default.
- W3082764570 countsByYear W30827645702022 @default.
- W3082764570 countsByYear W30827645702023 @default.
- W3082764570 crossrefType "journal-article" @default.
- W3082764570 hasAuthorship W3082764570A5000308170 @default.
- W3082764570 hasAuthorship W3082764570A5000992961 @default.