LabAutomation 2006 - SLAS
LabAutomation 2006 - SLAS
LabAutomation 2006 - SLAS
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Where Laboratory Technologies Emerge and Merge<br />
11:00 am Monday, January 23, <strong>2006</strong> Track 1: Detection & Separation Room: Catalina<br />
Wyndham Palm Springs Hotel<br />
Anthony Tsarbopoulos<br />
Co-Author(s)<br />
University of Patras<br />
Fotini Bazoti<br />
GAIA Research Center<br />
Kifissia, Greece<br />
University of Patras<br />
atsarbop@gnhm.gr<br />
Jonas Bergquist<br />
Karin Markides<br />
Uppsala University<br />
Evaluation of Natural Products Towards the Prevention and Treatment of<br />
Alzheimer’s Disease<br />
The continuing demographic shift of population towards an older society has led to a growing prevalence of chronic age-related diseases in<br />
all industrialized countries. Development of degenerative diseases, such as Alzheimer’s Disease (AD), associated with neurodegeneration,<br />
massive brain cell loss, loss of cognitive ability and premature death, has a major impact on health along with economical ramifications<br />
in Western world. Even though the cause of AD remains ambiguous, one of the prevailing hypotheses has centered on the amyloid beta<br />
protein (Aâ)-containing senile plaques, with oxidative stress being the main mechanism proposed to justify Áâ’s aggregation.<br />
In light of the suggested link between oxidative stress and AD, it is proposed that endogenous antioxidants or dietary derived compounds<br />
may offer an ideal therapeutic regime for protection against the risk of this disease. In this presentation, the formation of noncovalent<br />
complexes of Aâ with endogenous antioxidants, such as melatonin, and certain bioactive phytochemicals, derived from plants endemic<br />
in Mediterranean flora, has been demonstrated by electrospray ionization mass spectrometric (ESI MS) analysis. Several experimental<br />
parameters which affect the stability and specificity of the noncovalent complexes have been examined, while the binding site of the<br />
antioxidant on Aâ has been identified by proteolytic mapping combined with FTICR-ESI MS analysis. These data along with NMR data on<br />
the Aâ residues which are involved in the noncovalent interaction may shed some light into the mechanisms of AD pathology and provide<br />
insights into novel agents that can be employed towards prevention or even treatment of AD.<br />
11:30 am Monday, January 23, <strong>2006</strong> Track 1: Detection & Separation Room: Catalina<br />
Wyndham Palm Springs Hotel<br />
Gary Kruppa<br />
Co-Author(s)<br />
Bruker Daltonics Inc.<br />
Manfred Spraul<br />
Fremont, California<br />
Peter Neidig<br />
gary.kruppa@bdal.com<br />
Hartmut Schaefer<br />
Bruker Biospin<br />
Gabriela Zurek<br />
Carsten Baessmann<br />
Bruker Daltonik<br />
Investigation of Metabolite Profiles in Human Urine by ESI-oaTOF and<br />
Quadrupole Ion Trap MS<br />
The quantitative measurement of the time-related multi-parametric metabolic response of living systems to pathophysiological stimuli<br />
or genetic modification is of great current interest for possible applications in biomarker discovery, clinical diagnostics and other areas.<br />
Measuring metabolites in urine is of special interest since metabolic endpoints can be monitored and urine samples can be obtained<br />
non-invasively from animals and humans. We describe here an automated and high-throughput method for extracting this important<br />
biochemical information using mass spectrometry. The method uses accurate mass data from a high resolution ESI-TOF, which provides a<br />
tool to directly generate molecular formulas of metabolites. This data is analyzed using multivariate statistical tools e.g. principal component<br />
analysis. Retention time information combined with accurate mass data are used to identify important biochemicals, which are shown<br />
to be statistically significant in describing the changes to the living system. MSn data adds complementary structural information when<br />
identification cannot be made using the molecular formula and retention time. In order to obtain consistent and meaningful statistical data<br />
from the typically noisy LC-MS chromatograms, an appropriate method for extracting peaks from the chromatograms is required. We have<br />
been evaluating various chromatographic peak finding techniques for this purpose.<br />
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