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Development and Implementation of an Internal Quality Control Sample to Standardize Oligomer-Based Diagnostics of Alzheimer’s Disease

Protein misfolding and aggregation are pathological hallmarks of various neurodegenerative diseases. In Alzheimer’s disease (AD), soluble and toxic amyloid-β (Aβ) oligomers are biomarker candidates for diagnostics and drug development. However, accurate quantification of Aβ oligomers in bodily fluid...

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Autores principales: Pils, Marlene, Dybala, Alexandra, Rehn, Fabian, Blömeke, Lara, Bujnicki, Tuyen, Kraemer-Schulien, Victoria, Hoyer, Wolfgang, Riesner, Detlev, Willbold, Dieter, Bannach, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217173/
https://www.ncbi.nlm.nih.gov/pubmed/37238187
http://dx.doi.org/10.3390/diagnostics13101702
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author Pils, Marlene
Dybala, Alexandra
Rehn, Fabian
Blömeke, Lara
Bujnicki, Tuyen
Kraemer-Schulien, Victoria
Hoyer, Wolfgang
Riesner, Detlev
Willbold, Dieter
Bannach, Oliver
author_facet Pils, Marlene
Dybala, Alexandra
Rehn, Fabian
Blömeke, Lara
Bujnicki, Tuyen
Kraemer-Schulien, Victoria
Hoyer, Wolfgang
Riesner, Detlev
Willbold, Dieter
Bannach, Oliver
author_sort Pils, Marlene
collection PubMed
description Protein misfolding and aggregation are pathological hallmarks of various neurodegenerative diseases. In Alzheimer’s disease (AD), soluble and toxic amyloid-β (Aβ) oligomers are biomarker candidates for diagnostics and drug development. However, accurate quantification of Aβ oligomers in bodily fluids is challenging because extreme sensitivity and specificity are required. We previously introduced surface-based fluorescence intensity distribution analysis (sFIDA) with single-particle sensitivity. In this report, a preparation protocol for a synthetic Aβ oligomer sample was developed. This sample was used for internal quality control (IQC) to improve standardization, quality assurance, and routine application of oligomer-based diagnostic methods. We established an aggregation protocol for Aβ1–42, characterized the oligomers by atomic force microscopy (AFM), and assessed their application in sFIDA. Globular-shaped oligomers with a median size of 2.67 nm were detected by AFM, and sFIDA analysis of the Aβ1–42 oligomers yielded a femtomolar detection limit with high assay selectivity and dilution linearity over 5 log units. Lastly, we implemented a Shewhart chart for monitoring IQC performance over time, which is another important step toward quality assurance of oligomer-based diagnostic methods.
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spelling pubmed-102171732023-05-27 Development and Implementation of an Internal Quality Control Sample to Standardize Oligomer-Based Diagnostics of Alzheimer’s Disease Pils, Marlene Dybala, Alexandra Rehn, Fabian Blömeke, Lara Bujnicki, Tuyen Kraemer-Schulien, Victoria Hoyer, Wolfgang Riesner, Detlev Willbold, Dieter Bannach, Oliver Diagnostics (Basel) Article Protein misfolding and aggregation are pathological hallmarks of various neurodegenerative diseases. In Alzheimer’s disease (AD), soluble and toxic amyloid-β (Aβ) oligomers are biomarker candidates for diagnostics and drug development. However, accurate quantification of Aβ oligomers in bodily fluids is challenging because extreme sensitivity and specificity are required. We previously introduced surface-based fluorescence intensity distribution analysis (sFIDA) with single-particle sensitivity. In this report, a preparation protocol for a synthetic Aβ oligomer sample was developed. This sample was used for internal quality control (IQC) to improve standardization, quality assurance, and routine application of oligomer-based diagnostic methods. We established an aggregation protocol for Aβ1–42, characterized the oligomers by atomic force microscopy (AFM), and assessed their application in sFIDA. Globular-shaped oligomers with a median size of 2.67 nm were detected by AFM, and sFIDA analysis of the Aβ1–42 oligomers yielded a femtomolar detection limit with high assay selectivity and dilution linearity over 5 log units. Lastly, we implemented a Shewhart chart for monitoring IQC performance over time, which is another important step toward quality assurance of oligomer-based diagnostic methods. MDPI 2023-05-11 /pmc/articles/PMC10217173/ /pubmed/37238187 http://dx.doi.org/10.3390/diagnostics13101702 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pils, Marlene
Dybala, Alexandra
Rehn, Fabian
Blömeke, Lara
Bujnicki, Tuyen
Kraemer-Schulien, Victoria
Hoyer, Wolfgang
Riesner, Detlev
Willbold, Dieter
Bannach, Oliver
Development and Implementation of an Internal Quality Control Sample to Standardize Oligomer-Based Diagnostics of Alzheimer’s Disease
title Development and Implementation of an Internal Quality Control Sample to Standardize Oligomer-Based Diagnostics of Alzheimer’s Disease
title_full Development and Implementation of an Internal Quality Control Sample to Standardize Oligomer-Based Diagnostics of Alzheimer’s Disease
title_fullStr Development and Implementation of an Internal Quality Control Sample to Standardize Oligomer-Based Diagnostics of Alzheimer’s Disease
title_full_unstemmed Development and Implementation of an Internal Quality Control Sample to Standardize Oligomer-Based Diagnostics of Alzheimer’s Disease
title_short Development and Implementation of an Internal Quality Control Sample to Standardize Oligomer-Based Diagnostics of Alzheimer’s Disease
title_sort development and implementation of an internal quality control sample to standardize oligomer-based diagnostics of alzheimer’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217173/
https://www.ncbi.nlm.nih.gov/pubmed/37238187
http://dx.doi.org/10.3390/diagnostics13101702
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