23.02.2013 Views

LabAutomation 2006 - SLAS

LabAutomation 2006 - SLAS

LabAutomation 2006 - SLAS

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

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 />

51

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!