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Determination of a phospholipid signature for human Metabolic Syndrome using mass spectrometry-based metabolomic approaches

Metabolic Syndrome (MetS) is an obesity-related disorder that predisposes an
individual to several life-threatening diseases such as cardiovascular disease,
hypertension and type 2 diabetes mellitus. The diagnosis of metabolic syndrome is based
on the presence of at least 3 of the following 5 risk factors: elevated triglycerides, high
blood pressure, high blood glucose, low HDL cholesterol and central adiposity.
However, the biochemical mechanisms underlying the contribution of these irregularities
are not fully understood. Currently, there is a need to better characterize MetS.
Irregularity of lipid abundances, dyslipidemia, is known to be associated with MetS.
However, little is known about the link between plasma phospholipids and human
metabolic syndrome. In this study, mass spectrometry-based metabolomic approaches
were employed using ultrahigh-resolution FTICR mass spectrometry to qualitatively
analyze human plasma phospholipids and high-resolution QTOF mass spectrometry to
quantitatively detect differences in the human plasma phospholipid profiles from 10
clinically-diagnosed metabolic syndrome patients and 8 lean healthy controls. The
results point to the existence of a phospholipid signature of MetS. Five of the top twenty
phospholipids contributing most to the difference in phospholipid abundance between the
MetS and control group were identified using accurate mass-based database searching
and MS/MS for structural confirmation. Relative differences in phospholipid abundances
between MetS and controls for all top 20 phospholipids were shown to be statistically
significant. These results may aid biomarker discovery and the accurate evaluation and
prevention of diseases associated with dyslipidemia including human metabolic
syndrome. / Graduate

Identiferoai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/3614
Date18 October 2011
CreatorsKozlowski, Rachel
ContributorsBorchers, Christoph H.
Source SetsUniversity of Victoria
LanguageEnglish, English
Detected LanguageEnglish
TypeThesis
RightsAvailable to the World Wide Web

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