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Plasma proteome profiling identifies changes associated to AD but not to FTD
BACKGROUND: Frontotemporal dementia (FTD) is caused by frontotemporal lobar degeneration (FTLD), characterized mainly by inclusions of Tau (FTLD-Tau) or TAR DNA binding43 (FTLD-TDP) proteins. Plasma biomarkers are strongly needed for specific diagnosis and potential treatment monitoring of FTD. We a...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587555/ https://www.ncbi.nlm.nih.gov/pubmed/36273219 http://dx.doi.org/10.1186/s40478-022-01458-w |
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author | Mofrad, R. Babapour del Campo, M. Peeters, C. F. W. Meeter, L. H. H. Seelaar, H. Koel-Simmelink, M. Ramakers, I. H. G. B. Middelkoop, H. A. M. De Deyn, P. P. Claassen, J. A. H. R. van Swieten, J. C. Bridel, C. Hoozemans, J. J. M. Scheltens, P. van der Flier, W. M. Pijnenburg, Y. A. L. Teunissen, Charlotte E. |
author_facet | Mofrad, R. Babapour del Campo, M. Peeters, C. F. W. Meeter, L. H. H. Seelaar, H. Koel-Simmelink, M. Ramakers, I. H. G. B. Middelkoop, H. A. M. De Deyn, P. P. Claassen, J. A. H. R. van Swieten, J. C. Bridel, C. Hoozemans, J. J. M. Scheltens, P. van der Flier, W. M. Pijnenburg, Y. A. L. Teunissen, Charlotte E. |
author_sort | Mofrad, R. Babapour |
collection | PubMed |
description | BACKGROUND: Frontotemporal dementia (FTD) is caused by frontotemporal lobar degeneration (FTLD), characterized mainly by inclusions of Tau (FTLD-Tau) or TAR DNA binding43 (FTLD-TDP) proteins. Plasma biomarkers are strongly needed for specific diagnosis and potential treatment monitoring of FTD. We aimed to identify specific FTD plasma biomarker profiles discriminating FTD from AD and controls, and between FTD pathological subtypes. In addition, we compared plasma results with results in post-mortem frontal cortex of FTD cases to understand the underlying process. METHODS: Plasma proteins (n = 1303) from pathologically and/or genetically confirmed FTD patients (n = 56; FTLD-Tau n = 16; age = 58.2 ± 6.2; 44% female, FTLD-TDP n = 40; age = 59.8 ± 7.9; 45% female), AD patients (n = 57; age = 65.5 ± 8.0; 39% female), and non-demented controls (n = 148; 61.3 ± 7.9; 41% female) were measured using an aptamer-based proteomic technology (SomaScan). In addition, exploratory analysis in post-mortem frontal brain cortex of FTD (n = 10; FTLD-Tau n = 5; age = 56.2 ± 6.9, 60% female, and FTLD-TDP n = 5; age = 64.0 ± 7.7, 60% female) and non-demented controls (n = 4; age = 61.3 ± 8.1; 75% female) were also performed. Differentially regulated plasma and tissue proteins were identified by global testing adjusting for demographic variables and multiple testing. Logistic lasso regression was used to identify plasma protein panels discriminating FTD from non-demented controls and AD, or FTLD-Tau from FTLD-TDP. Performance of the discriminatory plasma protein panels was based on predictions obtained from bootstrapping with 1000 resampled analysis. RESULTS: Overall plasma protein expression profiles differed between FTD, AD and controls (6 proteins; p = 0.005), but none of the plasma proteins was specifically associated to FTD. The overall tissue protein expression profile differed between FTD and controls (7-proteins; p = 0.003). There was no difference in overall plasma or tissue expression profile between FTD subtypes. Regression analysis revealed a panel of 12-plasma proteins discriminating FTD from AD with high accuracy (AUC: 0.99). No plasma protein panels discriminating FTD from controls or FTD pathological subtypes were identified. CONCLUSIONS: We identified a promising plasma protein panel as a minimally-invasive tool to aid in the differential diagnosis of FTD from AD, which was primarily associated to AD pathophysiology. The lack of plasma profiles specifically associated to FTD or its pathological subtypes might be explained by FTD heterogeneity, calling for FTD studies using large and well-characterize cohorts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40478-022-01458-w. |
format | Online Article Text |
id | pubmed-9587555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95875552022-10-23 Plasma proteome profiling identifies changes associated to AD but not to FTD Mofrad, R. Babapour del Campo, M. Peeters, C. F. W. Meeter, L. H. H. Seelaar, H. Koel-Simmelink, M. Ramakers, I. H. G. B. Middelkoop, H. A. M. De Deyn, P. P. Claassen, J. A. H. R. van Swieten, J. C. Bridel, C. Hoozemans, J. J. M. Scheltens, P. van der Flier, W. M. Pijnenburg, Y. A. L. Teunissen, Charlotte E. Acta Neuropathol Commun Research BACKGROUND: Frontotemporal dementia (FTD) is caused by frontotemporal lobar degeneration (FTLD), characterized mainly by inclusions of Tau (FTLD-Tau) or TAR DNA binding43 (FTLD-TDP) proteins. Plasma biomarkers are strongly needed for specific diagnosis and potential treatment monitoring of FTD. We aimed to identify specific FTD plasma biomarker profiles discriminating FTD from AD and controls, and between FTD pathological subtypes. In addition, we compared plasma results with results in post-mortem frontal cortex of FTD cases to understand the underlying process. METHODS: Plasma proteins (n = 1303) from pathologically and/or genetically confirmed FTD patients (n = 56; FTLD-Tau n = 16; age = 58.2 ± 6.2; 44% female, FTLD-TDP n = 40; age = 59.8 ± 7.9; 45% female), AD patients (n = 57; age = 65.5 ± 8.0; 39% female), and non-demented controls (n = 148; 61.3 ± 7.9; 41% female) were measured using an aptamer-based proteomic technology (SomaScan). In addition, exploratory analysis in post-mortem frontal brain cortex of FTD (n = 10; FTLD-Tau n = 5; age = 56.2 ± 6.9, 60% female, and FTLD-TDP n = 5; age = 64.0 ± 7.7, 60% female) and non-demented controls (n = 4; age = 61.3 ± 8.1; 75% female) were also performed. Differentially regulated plasma and tissue proteins were identified by global testing adjusting for demographic variables and multiple testing. Logistic lasso regression was used to identify plasma protein panels discriminating FTD from non-demented controls and AD, or FTLD-Tau from FTLD-TDP. Performance of the discriminatory plasma protein panels was based on predictions obtained from bootstrapping with 1000 resampled analysis. RESULTS: Overall plasma protein expression profiles differed between FTD, AD and controls (6 proteins; p = 0.005), but none of the plasma proteins was specifically associated to FTD. The overall tissue protein expression profile differed between FTD and controls (7-proteins; p = 0.003). There was no difference in overall plasma or tissue expression profile between FTD subtypes. Regression analysis revealed a panel of 12-plasma proteins discriminating FTD from AD with high accuracy (AUC: 0.99). No plasma protein panels discriminating FTD from controls or FTD pathological subtypes were identified. CONCLUSIONS: We identified a promising plasma protein panel as a minimally-invasive tool to aid in the differential diagnosis of FTD from AD, which was primarily associated to AD pathophysiology. The lack of plasma profiles specifically associated to FTD or its pathological subtypes might be explained by FTD heterogeneity, calling for FTD studies using large and well-characterize cohorts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40478-022-01458-w. BioMed Central 2022-10-22 /pmc/articles/PMC9587555/ /pubmed/36273219 http://dx.doi.org/10.1186/s40478-022-01458-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Mofrad, R. Babapour del Campo, M. Peeters, C. F. W. Meeter, L. H. H. Seelaar, H. Koel-Simmelink, M. Ramakers, I. H. G. B. Middelkoop, H. A. M. De Deyn, P. P. Claassen, J. A. H. R. van Swieten, J. C. Bridel, C. Hoozemans, J. J. M. Scheltens, P. van der Flier, W. M. Pijnenburg, Y. A. L. Teunissen, Charlotte E. Plasma proteome profiling identifies changes associated to AD but not to FTD |
title | Plasma proteome profiling identifies changes associated to AD but not to FTD |
title_full | Plasma proteome profiling identifies changes associated to AD but not to FTD |
title_fullStr | Plasma proteome profiling identifies changes associated to AD but not to FTD |
title_full_unstemmed | Plasma proteome profiling identifies changes associated to AD but not to FTD |
title_short | Plasma proteome profiling identifies changes associated to AD but not to FTD |
title_sort | plasma proteome profiling identifies changes associated to ad but not to ftd |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587555/ https://www.ncbi.nlm.nih.gov/pubmed/36273219 http://dx.doi.org/10.1186/s40478-022-01458-w |
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