Fluorometric density gradient ultracentrifugation is used to measure the
lipoprotein density profile for cardiovascular disease risk assessment. The work
presented establishes the effectiveness of using a single-spin separation as both an
analytical tool and a preparative tool, while yielding valuable density information. This
research expands on the analytical power of density gradient ultracentrifugation (DGU)
by combining novel ethylenediaminetetraacetic acid (EDTA) gradient solutions, a
fluorescent probe for analysis, and modern statistical methods for classification of heart
disease risk.
Sub-classes of lipoproteins are analyzed based on their density from the
fluorescent lipoprotein density profile. The application of linear discriminant analysis
(LDA) and sliced average variance estimation (SAVE) to the fluorometric DGU data
yields a powerful classification tool. This method is capable of determining differences
between control and cardiovascular disease patients that do not exhibit the traditional
risk factors. The combination of these methods has great potential to serve as analytical
tools for researchers in understanding the mechanisms of disease development and as a
diagnostic tool for clinicians.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2027 |
| Date | 15 May 2009 |
| Creators | Henriquez, Ronald Rene |
| Contributors | Macfarlane, Ronald D. |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | thesis, text |
| Format | electronic, application/pdf, born digital |
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