Literature DB >> 33112446

Distribution of amyloidosis subtypes based on tissue biopsy site - Consecutive analysis of 729 patients at a single amyloidosis center in Japan.

Ryuta Abe1, Nagaaki Katoh1, Yusuke Takahashi1, Ken Takasone1, Tsuneaki Yoshinaga1, Masahide Yazaki2,3, Fuyuki Kametani4, Yoshiki Sekijima1,3.   

Abstract

This study was performed to elucidate the distribution of amyloidosis subtypes based on tissue biopsy site. Samples obtained from 729 consecutive patients with amyloidosis were analyzed by immunohistochemical staining (IHC) and supplemental mass spectrometry (MS). The correlations between the type of organs from which samples were obtained and amyloidosis subtypes were investigated retrospectively. Among the patients, 95.1% were diagnosed by IHC and 4.9% were diagnosed by MS. The distribution of amyloidosis subtypes was as follows: AL, 59.1%; ATTR, 32.9%; AA, 4.0%; AH, 1.4%; Aβ2M, 0.8%; and others, 0.9%. AL was the most common subtype in most organs, including the liver, lung, kidney, lower urinary tract, bone marrow, gastrointestinal tract, and skin/subcutaneous tissue. ATTR was the most common subtype in the heart, carpal tunnel, and peripheral nerves. AH was the second most common subtype in renal biopsy. Three or more amyloidosis subtypes were detected in each organ. In conclusion, AL was the most common subtype in most biopsy sites except the heart, carpal tunnel, and peripheral nerve, in which ATTR was more common. Because several types of amyloidogenic protein were detected in each organ, amyloid typing must be pursued, no matter the site from where biopsy was obtained.
© 2020 Japanese Society of Pathology and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  amyloidosis subtypes; biopsy; diagnosis; immunoglobulin heavy chain amyloidosis; immunoglobulin light chain amyloidosis; immunohistochemistry; mass spectrometry; transthyretin amyloidosis

Year:  2020        PMID: 33112446     DOI: 10.1111/pin.13041

Source DB:  PubMed          Journal:  Pathol Int        ISSN: 1320-5463            Impact factor:   2.534


  3 in total

1.  Prevalence and determinants of iron deficiency in cardiac amyloidosis.

Authors:  Antoine Jobbé-Duval; Mélanie Bézard; Stéphane Moutereau; Mounira Kharoubi; Silvia Oghina; Amira Zaroui; Arnault Galat; Coraline Chalard; Elisabeth Hugon-Vallet; Francois Lemonnier; Damien Eyharts; Elsa Poulot; Pascale Fanen; Benoit Funalot; Valérie Molinier-Frenkel; Vincent Audard; Luc Hittinger; Marc Antoine Delbarre; Emmanuel Teiger; Thibaud Damy
Journal:  ESC Heart Fail       Date:  2022-02-06

2.  A stepwise data interpretation process for renal amyloidosis typing by LMD-MS.

Authors:  Ming Ke; Xin Li; Lin Wang; Shuling Yue; Beibei Zhao
Journal:  BMC Nephrol       Date:  2022-04-13       Impact factor: 2.388

3.  N-terminal peptide fragment constitutes core of amyloid deposition of serum amyloid A: An imaging mass spectrometry study.

Authors:  Yukako Shintani-Domoto; Yuki Sugiura; Makiko Ogawa; Eiji Sugiyama; Hiroyuki Abe; Takashi Sakatani; Ryuji Ohashi; Tetsuo Ushiku; Masashi Fukayama
Journal:  PLoS One       Date:  2022-10-14       Impact factor: 3.752

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.