TY - JOUR
T1 - Discovery of Novel Biomarkers for Alzheimer's Disease from Blood
AU - Long, Jintao
AU - Pan, Genhua
AU - Ifeachor, Emmanuel
AU - Belshaw, Robert
AU - Li, Xinzhong
PY - 2016/5/29
Y1 - 2016/5/29
N2 - 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%).
AB - 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%).
UR - https://pearl.plymouth.ac.uk/context/secam-research/article/1691/viewcontent/Discovery_20of_20Novel_20Biomarkers_20for_20Alzheimer_s_20Disease_20from_20Blood.pdf
U2 - 10.1155/2016/4250480
DO - 10.1155/2016/4250480
M3 - Article
SN - 0278-0240
VL - 2016
SP - 0
EP - 0
JO - Disease Markers
JF - Disease Markers
IS - 0
ER -