Chronic Kidney Disease
- Direct Infusion ESI-MS
- Flow Injection ESI-MS
Latent fingerprints consist of water, proteins, amino acids, lipids, and salts. Lipids are particularly relevant analytes because they are known to vary in a variety of diseases of interest (neurodegeneration, metabolic disorders, autism). Most skin-surface lipids originate from sebaceous gland secretion. We study multiple lipid classes present in human sebum, including triglycerides, fatty acids, and wax esters.
MS Analysis of Latent Fingerprints
- Determination of changes in lipid profiles
- Simple sample prep
- Noninvasive sample collection
- Relatively inexpensive
For disease classification, the whole lipidomic profile can provide a more complete picture than a few lipids can by themselves.
The acquisition of a large MS dataset can introduce sources of systematic variation, such as batch effects, which can mask the biological variation of interest. Normalization is a way to minimize these effects of systematic variation. The effectiveness of different normalization strategies is often data-dependent, so it is necessary to assess the performance of different strategies.