Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Timsina, Jigyasha, Ali, Muhammad, Do, Anh, Wang, Lihua, Sung, Yun Ju, Cruchaga, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
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
_version_ 1785054930931810304
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
work_keys_str_mv AT timsinajigyasha harmonizationofcsfandimagingbiomarkersforalzheimersdiseasebiomarkersneedandpracticalapplicationsforgeneticsstudiesandpreclinicalclassification
AT alimuhammad harmonizationofcsfandimagingbiomarkersforalzheimersdiseasebiomarkersneedandpracticalapplicationsforgeneticsstudiesandpreclinicalclassification
AT doanh harmonizationofcsfandimagingbiomarkersforalzheimersdiseasebiomarkersneedandpracticalapplicationsforgeneticsstudiesandpreclinicalclassification
AT wanglihua harmonizationofcsfandimagingbiomarkersforalzheimersdiseasebiomarkersneedandpracticalapplicationsforgeneticsstudiesandpreclinicalclassification
AT sungyunju harmonizationofcsfandimagingbiomarkersforalzheimersdiseasebiomarkersneedandpracticalapplicationsforgeneticsstudiesandpreclinicalclassification
AT cruchagacarlos harmonizationofcsfandimagingbiomarkersforalzheimersdiseasebiomarkersneedandpracticalapplicationsforgeneticsstudiesandpreclinicalclassification