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Performance of plasma Aβ42/40, measured using a fully automated immunoassay, across a broad patient population in identifying amyloid status
BACKGROUND: Plasma biomarkers have emerged as promising screening tools for Alzheimer’s disease (AD) because of their potential to detect amyloid β (Aβ) accumulation in the brain. One such candidate is the plasma Aβ42/40 ratio (Aβ42/40). Unlike previous research that used traditional immunoassay, re...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476307/ https://www.ncbi.nlm.nih.gov/pubmed/37667408 http://dx.doi.org/10.1186/s13195-023-01296-5 |
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author | Bun, Shogyoku Ito, Daisuke Tezuka, Toshiki Kubota, Masahito Ueda, Ryo Takahata, Keisuke Moriguchi, Sho Kurose, Shin Momota, Yuki Suzuki, Natsumi Morimoto, Ayaka Hoshino, Yuka Seki, Morinobu Mimura, Yu Shikimoto, Ryo Yamamoto, Yasuharu Hoshino, Takayuki Sato, Yoshiaki Tabuchi, Hajime Mimura, Masaru |
author_facet | Bun, Shogyoku Ito, Daisuke Tezuka, Toshiki Kubota, Masahito Ueda, Ryo Takahata, Keisuke Moriguchi, Sho Kurose, Shin Momota, Yuki Suzuki, Natsumi Morimoto, Ayaka Hoshino, Yuka Seki, Morinobu Mimura, Yu Shikimoto, Ryo Yamamoto, Yasuharu Hoshino, Takayuki Sato, Yoshiaki Tabuchi, Hajime Mimura, Masaru |
author_sort | Bun, Shogyoku |
collection | PubMed |
description | BACKGROUND: Plasma biomarkers have emerged as promising screening tools for Alzheimer’s disease (AD) because of their potential to detect amyloid β (Aβ) accumulation in the brain. One such candidate is the plasma Aβ42/40 ratio (Aβ42/40). Unlike previous research that used traditional immunoassay, recent studies that measured plasma Aβ42/40 using fully automated platforms reported promising results. However, its utility should be confirmed using a broader patient population, focusing on the potential for early detection. METHODS: We recruited 174 participants, including healthy controls (HC) and patients with clinical diagnoses of AD, frontotemporal lobar degeneration, dementia with Lewy bodies/Parkinson’s disease, mild cognitive impairment (MCI), and others, from a university memory clinic. We examined the performance of plasma Aβ42/40, measured using the fully automated high-sensitivity chemiluminescence enzyme (HISCL) immunoassay, in detecting amyloid-positron emission tomography (PET)-derived Aβ pathology. We also compared its performance with that of Simoa-based plasma phosphorylated tau at residue 181 (p-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light (NfL). RESULTS: Using the best cut-off derived from the Youden Index, plasma Aβ42/40 yielded an area under the receiver operating characteristic curve (AUC) of 0.949 in distinguishing visually assessed (18)F-Florbetaben amyloid PET positivity. The plasma Aβ42/40 had a significantly superior AUC than p-tau181, GFAP, and NfL in the 167 participants with measurements for all four biomarkers. Next, we analyzed 99 participants, including only the HC and those with MCI, and discovered that plasma Aβ42/40 outperformed the other plasma biomarkers, suggesting its ability to detect early amyloid accumulation. Using the Centiloid scale (CL), Spearman’s rank correlation coefficient between plasma Aβ42/40 and CL was -0.767. Among the 15 participants falling within the CL values indicative of potential future amyloid accumulation (CL between 13.5 and 35.7), plasma Aβ42/40 categorized 61.5% (8/13) as Aβ-positive, whereas visual assessment of amyloid PET identified 20% (3/15) as positive. CONCLUSION: Plasma Aβ42/40 measured using the fully automated HISCL platform showed excellent performance in identifying Aβ accumulation in the brain in a well-characterized cohort. This equipment may be useful for screening amyloid pathology because it has the potential to detect early amyloid pathology and is readily applied in clinical settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-023-01296-5. |
format | Online Article Text |
id | pubmed-10476307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104763072023-09-05 Performance of plasma Aβ42/40, measured using a fully automated immunoassay, across a broad patient population in identifying amyloid status Bun, Shogyoku Ito, Daisuke Tezuka, Toshiki Kubota, Masahito Ueda, Ryo Takahata, Keisuke Moriguchi, Sho Kurose, Shin Momota, Yuki Suzuki, Natsumi Morimoto, Ayaka Hoshino, Yuka Seki, Morinobu Mimura, Yu Shikimoto, Ryo Yamamoto, Yasuharu Hoshino, Takayuki Sato, Yoshiaki Tabuchi, Hajime Mimura, Masaru Alzheimers Res Ther Research BACKGROUND: Plasma biomarkers have emerged as promising screening tools for Alzheimer’s disease (AD) because of their potential to detect amyloid β (Aβ) accumulation in the brain. One such candidate is the plasma Aβ42/40 ratio (Aβ42/40). Unlike previous research that used traditional immunoassay, recent studies that measured plasma Aβ42/40 using fully automated platforms reported promising results. However, its utility should be confirmed using a broader patient population, focusing on the potential for early detection. METHODS: We recruited 174 participants, including healthy controls (HC) and patients with clinical diagnoses of AD, frontotemporal lobar degeneration, dementia with Lewy bodies/Parkinson’s disease, mild cognitive impairment (MCI), and others, from a university memory clinic. We examined the performance of plasma Aβ42/40, measured using the fully automated high-sensitivity chemiluminescence enzyme (HISCL) immunoassay, in detecting amyloid-positron emission tomography (PET)-derived Aβ pathology. We also compared its performance with that of Simoa-based plasma phosphorylated tau at residue 181 (p-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light (NfL). RESULTS: Using the best cut-off derived from the Youden Index, plasma Aβ42/40 yielded an area under the receiver operating characteristic curve (AUC) of 0.949 in distinguishing visually assessed (18)F-Florbetaben amyloid PET positivity. The plasma Aβ42/40 had a significantly superior AUC than p-tau181, GFAP, and NfL in the 167 participants with measurements for all four biomarkers. Next, we analyzed 99 participants, including only the HC and those with MCI, and discovered that plasma Aβ42/40 outperformed the other plasma biomarkers, suggesting its ability to detect early amyloid accumulation. Using the Centiloid scale (CL), Spearman’s rank correlation coefficient between plasma Aβ42/40 and CL was -0.767. Among the 15 participants falling within the CL values indicative of potential future amyloid accumulation (CL between 13.5 and 35.7), plasma Aβ42/40 categorized 61.5% (8/13) as Aβ-positive, whereas visual assessment of amyloid PET identified 20% (3/15) as positive. CONCLUSION: Plasma Aβ42/40 measured using the fully automated HISCL platform showed excellent performance in identifying Aβ accumulation in the brain in a well-characterized cohort. This equipment may be useful for screening amyloid pathology because it has the potential to detect early amyloid pathology and is readily applied in clinical settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-023-01296-5. BioMed Central 2023-09-04 /pmc/articles/PMC10476307/ /pubmed/37667408 http://dx.doi.org/10.1186/s13195-023-01296-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Bun, Shogyoku Ito, Daisuke Tezuka, Toshiki Kubota, Masahito Ueda, Ryo Takahata, Keisuke Moriguchi, Sho Kurose, Shin Momota, Yuki Suzuki, Natsumi Morimoto, Ayaka Hoshino, Yuka Seki, Morinobu Mimura, Yu Shikimoto, Ryo Yamamoto, Yasuharu Hoshino, Takayuki Sato, Yoshiaki Tabuchi, Hajime Mimura, Masaru Performance of plasma Aβ42/40, measured using a fully automated immunoassay, across a broad patient population in identifying amyloid status |
title | Performance of plasma Aβ42/40, measured using a fully automated immunoassay, across a broad patient population in identifying amyloid status |
title_full | Performance of plasma Aβ42/40, measured using a fully automated immunoassay, across a broad patient population in identifying amyloid status |
title_fullStr | Performance of plasma Aβ42/40, measured using a fully automated immunoassay, across a broad patient population in identifying amyloid status |
title_full_unstemmed | Performance of plasma Aβ42/40, measured using a fully automated immunoassay, across a broad patient population in identifying amyloid status |
title_short | Performance of plasma Aβ42/40, measured using a fully automated immunoassay, across a broad patient population in identifying amyloid status |
title_sort | performance of plasma aβ42/40, measured using a fully automated immunoassay, across a broad patient population in identifying amyloid status |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476307/ https://www.ncbi.nlm.nih.gov/pubmed/37667408 http://dx.doi.org/10.1186/s13195-023-01296-5 |
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