Page 22
Notes:
allied
academies
August 14-16, 2017 | Toronto, Canada
BRAIN DISORDERS AND DEMENTIA CARE
4
th
International Conference on
Neurosurg, an open access journal
ISSN: 2471-9633
Sequencing of the saliva of normal person and AD patients
Ki-Bong Song
Sogang University, Korea
R
ecently we show that salivary beta-amyloid protein
(Aβ) can be a potential biomarker to early diagnose
Alzheimer’s Diseases (AD). At results, the quantity of Aβ40
and Aβ42 in the saliva of normal young man (nYM) group,
normal elderly (nE) group and AD patients was measured
in the range from very low concentration (~pg/ml) to high
concentration (~ng/ml). To find out another bio-marker
in the saliva, by the use of Maldi-tof , we analyzed the size
of the salivary protein below less than 20kDa. As a result,
we found out that there was a specific protein which can
distinguish the Np from the AD patients and the size of that
was about 15kDa. In this study, we will briefly introduce
that the sequencing results for the salivary protein which
can distinguish between Np from the severe AD patients.
Therefore, we expect these results to further increase the
accuracy of the diagnosis of AD when the Aβ level diagnosis
was adapted simultaneously.
Speaker Biography
Ki-Bong Song received his Ph.D. degree, a doctorate in physics, in the department of
Physics of Sogang University, Korea. After working as a postdoc in KIST (Korea Institute
of Science and Technology), he is now a principal researcher in ETRI (Electronics and
Telecommunications Research Institute), Korea. His main research includes diagnosing
technique in AD and development of wearable technology
Yo Han Choi received his Ph.D. degree, a doctorate in virology, in the department of
Life Science of POSTECH (Pohang University of Science and Technology), Korea. After
working as a postdoc. in POSTECH, KAIST (Korea Advanced Institute of Science and
Technology), and University of Alberta, Canada, he is now a principal researcher in ETRI
(Electronics and Telecommunications Research Institute), Korea. His main research
includes diagnostic chips, nanoparticles, protein engineering, and peptide library
applications.
e:
kbsong
@etri.re.krKi-Bong Song, Neurosurg 2017, 2:2
DOI: 10.21767/2471-9633-C1-005