Literature DB >> 28434259

Establishing and validating the fluorescent amyloid ligand h-FTAA (heptamer formyl thiophene acetic acid) to identify transthyretin amyloid deposits in carpal tunnel syndrome.

Katharina Hahn1, K Peter R Nilsson2, Per Hammarström2, Peter Urban3, Rolf Rüdiger Meliss4, Hans-Michael Behrens1, Sandra Krüger1, Christoph Röcken1.   

Abstract

Transthyretin-derived (ATTR) amyloidosis is a frequent finding in carpal tunnel syndrome. We tested the following hypotheses: the novel fluorescent amyloid ligand heptameric formic thiophene acetic acid (h-FTAA) has a superior sensitivity for the detection of amyloid compared with Congo red-staining; Amyloid load correlates with patient gender and/or patient age. We retrieved 208 resection specimens obtained from 184 patients with ATTR amyloid in the carpal tunnel. Serial sections were stained with Congo red, h-FTAA and an antibody directed against transthyretin (TTR). Stained sections were digitalized and forwarded to computational analyses. The amount of amyloid was correlated with patient demographics. Amyloid stained intensely with h-FTAA and an anti-TTR-antibody. Congo red-staining combined with fluorescence microscopy was significantly less sensitive than h-FTAA-fluorescence and TTR-immunostaining: the highest percentage area was found in TTR-immunostained sections, followed by h-FTAA and Congo red. The Pearson correlation coefficient was .8 (Congo red vs. h-FTAA) and .9 (TTR vs. h-FTAA). Amyloid load correlated with patient gender, anatomical site and patient age. h-FTAA is a highly sensitive method to detect even small amounts of ATTR amyloid in the carpal tunnel. The staining protocol is easy and h-FTAA may be a much more sensitive procedure to detect amyloid at an earlier stage.

Entities:  

Keywords:  ATTR; Amyloid; Congo red; carpal tunnel; h-FTAA; transthyretin

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Year:  2017        PMID: 28434259     DOI: 10.1080/13506129.2017.1316711

Source DB:  PubMed          Journal:  Amyloid        ISSN: 1350-6129            Impact factor:   7.141


  2 in total

1.  Machine Learning Quantification of Amyloid Deposits in Histological Images of Ligamentum Flavum.

Authors:  Andy Y Wang; Vaishnavi Sharma; Harleen Saini; Joseph N Tingen; Alexandra Flores; Diang Liu; Mina G Safain; James Kryzanski; Ellen D McPhail; Knarik Arkun; Ron I Riesenburger
Journal:  J Pathol Inform       Date:  2022-02-08

2.  Imaging Amyloid Tissues Stained with Luminescent Conjugated Oligothiophenes by Hyperspectral Confocal Microscopy and Fluorescence Lifetime Imaging.

Authors:  Sofie Nyström; Marcus Bäck; K Peter R Nilsson; Per Hammarström
Journal:  J Vis Exp       Date:  2017-10-20       Impact factor: 1.355

  2 in total

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