Unknown

Dataset Information

0

Discovery of Novel Biomarkers for Alzheimer's Disease from Blood.


ABSTRACT: 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%).

SUBMITTER: Long J 

PROVIDER: S-EPMC4932164 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

altmetric image

Publications

Discovery of Novel Biomarkers for Alzheimer's Disease from Blood.

Long Jintao J   Pan Genhua G   Ifeachor Emmanuel E   Belshaw Robert R   Li Xinzhong X  

Disease markers 20160529


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 cohor  ...[more]

Similar Datasets

| S-EPMC8342418 | biostudies-literature
| S-EPMC8773964 | biostudies-literature
| S-EPMC8749476 | biostudies-literature
| S-EPMC9610280 | biostudies-literature
| S-EPMC7314983 | biostudies-literature
| S-EPMC4644785 | biostudies-literature
| S-EPMC7400538 | biostudies-literature
| S-EPMC10087669 | biostudies-literature
| S-EPMC4128378 | biostudies-literature
| S-EPMC5357660 | biostudies-literature