Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Mayo Clin Proc. 2020 Sep;95(9):1852-1864. doi: 10.1016/j.mayocp.2020.06.029.
To 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.
A 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.
We 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.
Amyloid 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.
利用基于质谱的鸟枪法蛋白质组学绘制大型临床队列中淀粉样蛋白类型的发生情况,这是一种使用单一检测即可明确识别所有淀粉样蛋白类型的无偏方法。
在一个中心参考实验室实施基于质谱的鸟枪法蛋白质组学检测。我们记录了 2008 年 1 月 1 日至 2018 年 12 月 31 日 11 年间对 16175 例淀粉样变性标本进行分型的经验。
我们鉴定出 21 种已建立的淀粉样蛋白类型,包括 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%)和 ACal(n=2;<1%)。我们开发了第一个全面的按器官分类的图谱,显示了 31 种不同器官中 21 种淀粉样蛋白类型的相对频率,以及第一个按器官分类的图谱,显示了 18 种罕见类型的器官嗜性。使用改良的生物信息学管道,我们以 100%的特异性检测到遗传性淀粉样变性病例中的氨基酸取代。
通过蛋白质组学进行淀粉样蛋白分型,可在单次检测中有效识别所有淀粉样蛋白类型,最优化支持淀粉样变性患者在常规临床实践中的诊断和治疗。