Discovery of Novel Biomarkers for Alzheimer's Disease from Blood

Blood-based biomarkers for Alzheimer's disease would be very valuable because blood is a more accessible biofluid and is suitable for repeated sampling. However, currently there are no robust and reliable blood-based biomarkers for practical diagnosis. In this study we used a knowledge-based pr...

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Autores principales: Long, Jintao, Pan, Genhua, Ifeachor, Emmanuel, Belshaw, Robert, Li, Xinzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932164/
https://www.ncbi.nlm.nih.gov/pubmed/27418712
http://dx.doi.org/10.1155/2016/4250480
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author Long, Jintao
Pan, Genhua
Ifeachor, Emmanuel
Belshaw, Robert
Li, Xinzhong
author_facet Long, Jintao
Pan, Genhua
Ifeachor, Emmanuel
Belshaw, Robert
Li, Xinzhong
author_sort Long, Jintao
collection PubMed
description Blood-based biomarkers for Alzheimer's disease would be very valuable because blood is a more accessible biofluid and is suitable for repeated sampling. However, currently there are no robust and reliable blood-based biomarkers for practical diagnosis. In this study we used a knowledge-based protein feature pool and two novel support vector machine embedded feature selection methods to find panels consisting of two and three biomarkers. We validated these biomarker sets using another serum cohort and an RNA profile cohort from the brain. Our panels included the proteins ECH1, NHLRC2, HOXB7, FN1, ERBB2, and SLC6A13 and demonstrated promising sensitivity (>87%), specificity (>91%), and accuracy (>89%).
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spelling pubmed-49321642016-07-14 Discovery of Novel Biomarkers for Alzheimer's Disease from Blood Long, Jintao Pan, Genhua Ifeachor, Emmanuel Belshaw, Robert Li, Xinzhong Dis Markers Research Article Blood-based biomarkers for Alzheimer's disease would be very valuable because blood is a more accessible biofluid and is suitable for repeated sampling. However, currently there are no robust and reliable blood-based biomarkers for practical diagnosis. In this study we used a knowledge-based protein feature pool and two novel support vector machine embedded feature selection methods to find panels consisting of two and three biomarkers. We validated these biomarker sets using another serum cohort and an RNA profile cohort from the brain. Our panels included the proteins ECH1, NHLRC2, HOXB7, FN1, ERBB2, and SLC6A13 and demonstrated promising sensitivity (>87%), specificity (>91%), and accuracy (>89%). Hindawi Publishing Corporation 2016 2016-05-29 /pmc/articles/PMC4932164/ /pubmed/27418712 http://dx.doi.org/10.1155/2016/4250480 Text en Copyright © 2016 Jintao Long et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Long, Jintao
Pan, Genhua
Ifeachor, Emmanuel
Belshaw, Robert
Li, Xinzhong
Discovery of Novel Biomarkers for Alzheimer's Disease from Blood
title Discovery of Novel Biomarkers for Alzheimer's Disease from Blood
title_full Discovery of Novel Biomarkers for Alzheimer's Disease from Blood
title_fullStr Discovery of Novel Biomarkers for Alzheimer's Disease from Blood
title_full_unstemmed Discovery of Novel Biomarkers for Alzheimer's Disease from Blood
title_short Discovery of Novel Biomarkers for Alzheimer's Disease from Blood
title_sort discovery of novel biomarkers for alzheimer's disease from blood
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932164/
https://www.ncbi.nlm.nih.gov/pubmed/27418712
http://dx.doi.org/10.1155/2016/4250480
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