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Harmonization of CSF and imaging biomarkers for Alzheimer’s disease biomarkers: need and practical applications for genetics studies and preclinical classification
INTRODUCTION: In Alzheimer’s disease (AD) research, cerebrospinal fluid (CSF) Amyloid beta (Aβ), Tau and pTau are the most accepted and well validated biomarkers. Several methods and platforms exist to measure those biomarkers which leads to challenges in combining data across studies. Thus, there i...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245826/ https://www.ncbi.nlm.nih.gov/pubmed/37292823 http://dx.doi.org/10.1101/2023.05.24.542118 |
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author | Timsina, Jigyasha Ali, Muhammad Do, Anh Wang, Lihua Sung, Yun Ju Cruchaga, Carlos |
author_facet | Timsina, Jigyasha Ali, Muhammad Do, Anh Wang, Lihua Sung, Yun Ju Cruchaga, Carlos |
author_sort | Timsina, Jigyasha |
collection | PubMed |
description | INTRODUCTION: In Alzheimer’s disease (AD) research, cerebrospinal fluid (CSF) Amyloid beta (Aβ), Tau and pTau are the most accepted and well validated biomarkers. Several methods and platforms exist to measure those biomarkers which leads to challenges in combining data across studies. Thus, there is a need to identify methods that harmonize and standardize these values. METHODS: We used a Z-score based approach to harmonize CSF and amyloid imaging data from multiple cohorts and compared GWAS result using this method with currently accepted methods. We also used a generalized mixture modelling to calculate the threshold for biomarker-positivity. RESULTS: Z-scores method performed as well as meta-analysis and did not lead to any spurious results. Cutoffs calculated with this approach were found to be very similar to those reported previously. DISCUSSION: This approach can be applied to heterogeneous platforms and provides biomarker cut-offs consistent with the classical approaches without requiring any additional data. |
format | Online Article Text |
id | pubmed-10245826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-102458262023-06-08 Harmonization of CSF and imaging biomarkers for Alzheimer’s disease biomarkers: need and practical applications for genetics studies and preclinical classification Timsina, Jigyasha Ali, Muhammad Do, Anh Wang, Lihua Sung, Yun Ju Cruchaga, Carlos bioRxiv Article INTRODUCTION: In Alzheimer’s disease (AD) research, cerebrospinal fluid (CSF) Amyloid beta (Aβ), Tau and pTau are the most accepted and well validated biomarkers. Several methods and platforms exist to measure those biomarkers which leads to challenges in combining data across studies. Thus, there is a need to identify methods that harmonize and standardize these values. METHODS: We used a Z-score based approach to harmonize CSF and amyloid imaging data from multiple cohorts and compared GWAS result using this method with currently accepted methods. We also used a generalized mixture modelling to calculate the threshold for biomarker-positivity. RESULTS: Z-scores method performed as well as meta-analysis and did not lead to any spurious results. Cutoffs calculated with this approach were found to be very similar to those reported previously. DISCUSSION: This approach can be applied to heterogeneous platforms and provides biomarker cut-offs consistent with the classical approaches without requiring any additional data. Cold Spring Harbor Laboratory 2023-05-24 /pmc/articles/PMC10245826/ /pubmed/37292823 http://dx.doi.org/10.1101/2023.05.24.542118 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Timsina, Jigyasha Ali, Muhammad Do, Anh Wang, Lihua Sung, Yun Ju Cruchaga, Carlos Harmonization of CSF and imaging biomarkers for Alzheimer’s disease biomarkers: need and practical applications for genetics studies and preclinical classification |
title | Harmonization of CSF and imaging biomarkers for Alzheimer’s disease biomarkers: need and practical applications for genetics studies and preclinical classification |
title_full | Harmonization of CSF and imaging biomarkers for Alzheimer’s disease biomarkers: need and practical applications for genetics studies and preclinical classification |
title_fullStr | Harmonization of CSF and imaging biomarkers for Alzheimer’s disease biomarkers: need and practical applications for genetics studies and preclinical classification |
title_full_unstemmed | Harmonization of CSF and imaging biomarkers for Alzheimer’s disease biomarkers: need and practical applications for genetics studies and preclinical classification |
title_short | Harmonization of CSF and imaging biomarkers for Alzheimer’s disease biomarkers: need and practical applications for genetics studies and preclinical classification |
title_sort | harmonization of csf and imaging biomarkers for alzheimer’s disease biomarkers: need and practical applications for genetics studies and preclinical classification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245826/ https://www.ncbi.nlm.nih.gov/pubmed/37292823 http://dx.doi.org/10.1101/2023.05.24.542118 |
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