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Proteomic profiling of circulating plasma exosomes reveals novel biomarkers of Alzheimer’s disease
BACKGROUND: Neuronal- and astrocyte-derived exosomes have been identified as an optimal source for screening biomarkers for Alzheimer’s disease (AD). However, few studies focus on the bulk exosome population isolated from plasma of AD. This study investigated whether proteins in bulk exosomes can ai...
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/PMC9720984/ https://www.ncbi.nlm.nih.gov/pubmed/36471423 http://dx.doi.org/10.1186/s13195-022-01133-1 |
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author | Cai, Huimin Pang, Yana Wang, Qi Qin, Wei Wei, Cuibai Li, Ying Li, Tingting Li, Fangyu Wang, Qigeng Li, Yan Wei, Yiping Jia, Longfei |
author_facet | Cai, Huimin Pang, Yana Wang, Qi Qin, Wei Wei, Cuibai Li, Ying Li, Tingting Li, Fangyu Wang, Qigeng Li, Yan Wei, Yiping Jia, Longfei |
author_sort | Cai, Huimin |
collection | PubMed |
description | BACKGROUND: Neuronal- and astrocyte-derived exosomes have been identified as an optimal source for screening biomarkers for Alzheimer’s disease (AD). However, few studies focus on the bulk exosome population isolated from plasma of AD. This study investigated whether proteins in bulk exosomes can aid in the diagnosis of AD. METHODS: The plasma exosomes were collected by ultracentrifuge. Protein samples were extracted from exosomes. Cerebrospinal fluid levels of amyloid β (Aβ)42 and phosphorylated tau (P-tau)181 were measured for diagnostic purposes. A pilot study (controls, 20; AD, 20) followed by a second dataset (controls, 56; AD, 58) was used to establish a diagnostic model of AD. Mass spectrometry-based proteomics was performed to profile the plasma exosomal proteome. Parallel reaction monitoring was used to further confirm the differentially expressed proteins. RESULTS: In total, 328 proteins in plasma exosomes were quantified. Among them, 31 proteins were altered in AD patients, and 12 were validated. The receiver operating characteristic curve analysis revealed a combination of six proteins (upregulated: Ig-like domain-containing protein (A0A0G2JRQ6), complement C1q subcomponent subunit C (C1QC), complement component C9 (CO9), platelet glycoprotein Ib beta chain (GP1BB), Ras suppressor protein 1 (RSU1); downregulated: disintegrin and metalloproteinase domain 10 (ADA10)) has the capacity to differentiate AD patients from healthy controls with high accuracy. Linear correlation analysis showed that the combination was significantly correlated with cognitive performance. CONCLUSIONS: The combination of plasma exosomal proteins A0A0G2JRQ6, C1QC, CO9, GP1BB, RSU1, and ADA10 acts as a novel candidate biomarker to differentiate AD patients from healthy individuals. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01133-1. |
format | Online Article Text |
id | pubmed-9720984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97209842022-12-06 Proteomic profiling of circulating plasma exosomes reveals novel biomarkers of Alzheimer’s disease Cai, Huimin Pang, Yana Wang, Qi Qin, Wei Wei, Cuibai Li, Ying Li, Tingting Li, Fangyu Wang, Qigeng Li, Yan Wei, Yiping Jia, Longfei Alzheimers Res Ther Research BACKGROUND: Neuronal- and astrocyte-derived exosomes have been identified as an optimal source for screening biomarkers for Alzheimer’s disease (AD). However, few studies focus on the bulk exosome population isolated from plasma of AD. This study investigated whether proteins in bulk exosomes can aid in the diagnosis of AD. METHODS: The plasma exosomes were collected by ultracentrifuge. Protein samples were extracted from exosomes. Cerebrospinal fluid levels of amyloid β (Aβ)42 and phosphorylated tau (P-tau)181 were measured for diagnostic purposes. A pilot study (controls, 20; AD, 20) followed by a second dataset (controls, 56; AD, 58) was used to establish a diagnostic model of AD. Mass spectrometry-based proteomics was performed to profile the plasma exosomal proteome. Parallel reaction monitoring was used to further confirm the differentially expressed proteins. RESULTS: In total, 328 proteins in plasma exosomes were quantified. Among them, 31 proteins were altered in AD patients, and 12 were validated. The receiver operating characteristic curve analysis revealed a combination of six proteins (upregulated: Ig-like domain-containing protein (A0A0G2JRQ6), complement C1q subcomponent subunit C (C1QC), complement component C9 (CO9), platelet glycoprotein Ib beta chain (GP1BB), Ras suppressor protein 1 (RSU1); downregulated: disintegrin and metalloproteinase domain 10 (ADA10)) has the capacity to differentiate AD patients from healthy controls with high accuracy. Linear correlation analysis showed that the combination was significantly correlated with cognitive performance. CONCLUSIONS: The combination of plasma exosomal proteins A0A0G2JRQ6, C1QC, CO9, GP1BB, RSU1, and ADA10 acts as a novel candidate biomarker to differentiate AD patients from healthy individuals. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01133-1. BioMed Central 2022-12-05 /pmc/articles/PMC9720984/ /pubmed/36471423 http://dx.doi.org/10.1186/s13195-022-01133-1 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 Cai, Huimin Pang, Yana Wang, Qi Qin, Wei Wei, Cuibai Li, Ying Li, Tingting Li, Fangyu Wang, Qigeng Li, Yan Wei, Yiping Jia, Longfei Proteomic profiling of circulating plasma exosomes reveals novel biomarkers of Alzheimer’s disease |
title | Proteomic profiling of circulating plasma exosomes reveals novel biomarkers of Alzheimer’s disease |
title_full | Proteomic profiling of circulating plasma exosomes reveals novel biomarkers of Alzheimer’s disease |
title_fullStr | Proteomic profiling of circulating plasma exosomes reveals novel biomarkers of Alzheimer’s disease |
title_full_unstemmed | Proteomic profiling of circulating plasma exosomes reveals novel biomarkers of Alzheimer’s disease |
title_short | Proteomic profiling of circulating plasma exosomes reveals novel biomarkers of Alzheimer’s disease |
title_sort | proteomic profiling of circulating plasma exosomes reveals novel biomarkers of alzheimer’s disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720984/ https://www.ncbi.nlm.nih.gov/pubmed/36471423 http://dx.doi.org/10.1186/s13195-022-01133-1 |
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