Enhanced detection of ATTR amyloid using a nanofibril-based assay.


Journal

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis
ISSN: 1744-2818
Titre abrégé: Amyloid
Pays: England
ID NLM: 9433802

Informations de publication

Date de publication:
Sep 2021
Historique:
pubmed: 16 2 2021
medline: 18 1 2022
entrez: 15 2 2021
Statut: ppublish

Résumé

More than 30 proteins and peptides have been found to form amyloid fibrils in human diseases. Fibrils formed by transthyretin (TTR) are associated with ATTR amyloidosis, affecting many vital organs, including the heart and peripheral nervous system. Congo red staining is the gold standard method for detection of amyloid deposits in tissue. However, Congo red staining and amyloid typing methods such as immunofluorescence labelling are limited to relatively large deposits. Detection of small ATTR deposits present at an early stage of the disease could enable timely treatment and prevent severe tissue damage. In this study, we developed an enhanced ATTR amyloid detection method that uses functionalised protein nanofibrils. Using this method, we achieved sensitive detection of monomeric TTR in a microplate immunoassay and immunofluorescence labelling of

Identifiants

pubmed: 33583280
doi: 10.1080/13506129.2021.1886072
doi:

Substances chimiques

Amyloid 0
Amyloidogenic Proteins 0
Prealbumin 0
Serum Amyloid A Protein 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

158-167

Auteurs

M Mahafuzur Rahman (MM)

Department of Molecular Sciences, Swedish University of Agricultural Sciences (SLU), Uppsala BioCenter, Uppsala, Sweden.

Benjamin Schmuck (B)

Department of Molecular Sciences, Swedish University of Agricultural Sciences (SLU), Uppsala BioCenter, Uppsala, Sweden.

Henrik Hansson (H)

Department of Molecular Sciences, Swedish University of Agricultural Sciences (SLU), Uppsala BioCenter, Uppsala, Sweden.

Torleif Härd (T)

Department of Molecular Sciences, Swedish University of Agricultural Sciences (SLU), Uppsala BioCenter, Uppsala, Sweden.

Gunilla T Westermark (GT)

Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden.

Mats Sandgren (M)

Department of Molecular Sciences, Swedish University of Agricultural Sciences (SLU), Uppsala BioCenter, Uppsala, Sweden.

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Classifications MeSH