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Morphometric imaging biomarker identifies Alzheimer’s disease even among mixed dementia patients
A definitive diagnosis of Alzheimer’s disease (AD), even in the presence of co-morbid neuropathology (occurring in > 50% of AD cases), is a significant unmet medical need that has obstructed the discovery of effective AD therapeutics. An AD-biomarker, the Morphometric Imaging (MI) assay on cultur...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626495/ https://www.ncbi.nlm.nih.gov/pubmed/36319674 http://dx.doi.org/10.1038/s41598-022-21796-y |
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author | Chirila, Florin V. Xu, Guang Fontaine, Dan Kern, Grant Khan, Tapan K. Brandt, Jason Konishi, Yoshihiro Nebe-von-Caron, Gerhard White, Charles L. Alkon, Daniel L. |
author_facet | Chirila, Florin V. Xu, Guang Fontaine, Dan Kern, Grant Khan, Tapan K. Brandt, Jason Konishi, Yoshihiro Nebe-von-Caron, Gerhard White, Charles L. Alkon, Daniel L. |
author_sort | Chirila, Florin V. |
collection | PubMed |
description | A definitive diagnosis of Alzheimer’s disease (AD), even in the presence of co-morbid neuropathology (occurring in > 50% of AD cases), is a significant unmet medical need that has obstructed the discovery of effective AD therapeutics. An AD-biomarker, the Morphometric Imaging (MI) assay on cultured skin fibroblasts, was used in a double-blind, allcomers (ages 55–90) trial of 3 patient cohorts: AD dementia patients, N = 25, all autopsy confirmed, non-AD dementia patients, N = 21—all autopsy or genetically confirmed; and non-demented control (AHC) patients N = 27. Fibroblasts cells isolated from 3-mm skin punch biopsies were cultured on a 3-D Matrigel matrix with movement dynamics quantified by image analysis. From counts of all aggregates (N) in a pre-defined field image and measures of the average area (A) of aggregates per image, the number-to-area ratios in a natural logarithmic form Ln(A/N) were determined for all patient samples. AD cell lines formed fewer large aggregates (cells clustered together) than non-AD or AHC cell lines. The cut-off value of Ln(A/N) = 6.98 was determined from the biomarker values of non-demented apparently healthy control (AHC) cases. Unequivocal validation by autopsy, genetics, and/or dementia criteria was possible for all 73 patient samples. The samples were collected from multiple centers—four US centers and one center in Japan. The study found no effect of center-to-center variation in fibroblast isolation, cell growth, or cell aggregation values (Ln(A/N)). The autopsy-confirmed MI Biomarker distinguished AD from non-AD dementia (non-ADD) patients and correctly diagnosed AD even in the presence of other co-morbid pathologies at autopsy (True Positive = 25, False Negative = 0, False Positive = 0, True Negative = 21, and Accuracy = 100%. Sensitivity and specificity were calculated as 100% (95% CI = 84 to 100.00%). From these findings, the MI assay appears to detect AD with great accuracy—even with abundant co-morbidity. |
format | Online Article Text |
id | pubmed-9626495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96264952022-11-03 Morphometric imaging biomarker identifies Alzheimer’s disease even among mixed dementia patients Chirila, Florin V. Xu, Guang Fontaine, Dan Kern, Grant Khan, Tapan K. Brandt, Jason Konishi, Yoshihiro Nebe-von-Caron, Gerhard White, Charles L. Alkon, Daniel L. Sci Rep Article A definitive diagnosis of Alzheimer’s disease (AD), even in the presence of co-morbid neuropathology (occurring in > 50% of AD cases), is a significant unmet medical need that has obstructed the discovery of effective AD therapeutics. An AD-biomarker, the Morphometric Imaging (MI) assay on cultured skin fibroblasts, was used in a double-blind, allcomers (ages 55–90) trial of 3 patient cohorts: AD dementia patients, N = 25, all autopsy confirmed, non-AD dementia patients, N = 21—all autopsy or genetically confirmed; and non-demented control (AHC) patients N = 27. Fibroblasts cells isolated from 3-mm skin punch biopsies were cultured on a 3-D Matrigel matrix with movement dynamics quantified by image analysis. From counts of all aggregates (N) in a pre-defined field image and measures of the average area (A) of aggregates per image, the number-to-area ratios in a natural logarithmic form Ln(A/N) were determined for all patient samples. AD cell lines formed fewer large aggregates (cells clustered together) than non-AD or AHC cell lines. The cut-off value of Ln(A/N) = 6.98 was determined from the biomarker values of non-demented apparently healthy control (AHC) cases. Unequivocal validation by autopsy, genetics, and/or dementia criteria was possible for all 73 patient samples. The samples were collected from multiple centers—four US centers and one center in Japan. The study found no effect of center-to-center variation in fibroblast isolation, cell growth, or cell aggregation values (Ln(A/N)). The autopsy-confirmed MI Biomarker distinguished AD from non-AD dementia (non-ADD) patients and correctly diagnosed AD even in the presence of other co-morbid pathologies at autopsy (True Positive = 25, False Negative = 0, False Positive = 0, True Negative = 21, and Accuracy = 100%. Sensitivity and specificity were calculated as 100% (95% CI = 84 to 100.00%). From these findings, the MI assay appears to detect AD with great accuracy—even with abundant co-morbidity. Nature Publishing Group UK 2022-11-01 /pmc/articles/PMC9626495/ /pubmed/36319674 http://dx.doi.org/10.1038/s41598-022-21796-y Text en © The Author(s) 2022 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/) . |
spellingShingle | Article Chirila, Florin V. Xu, Guang Fontaine, Dan Kern, Grant Khan, Tapan K. Brandt, Jason Konishi, Yoshihiro Nebe-von-Caron, Gerhard White, Charles L. Alkon, Daniel L. Morphometric imaging biomarker identifies Alzheimer’s disease even among mixed dementia patients |
title | Morphometric imaging biomarker identifies Alzheimer’s disease even among mixed dementia patients |
title_full | Morphometric imaging biomarker identifies Alzheimer’s disease even among mixed dementia patients |
title_fullStr | Morphometric imaging biomarker identifies Alzheimer’s disease even among mixed dementia patients |
title_full_unstemmed | Morphometric imaging biomarker identifies Alzheimer’s disease even among mixed dementia patients |
title_short | Morphometric imaging biomarker identifies Alzheimer’s disease even among mixed dementia patients |
title_sort | morphometric imaging biomarker identifies alzheimer’s disease even among mixed dementia patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626495/ https://www.ncbi.nlm.nih.gov/pubmed/36319674 http://dx.doi.org/10.1038/s41598-022-21796-y |
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