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Posted on April 13, 2016
Date - April 13, 2016
MS Thesis – 602
Title: “A Comprehensive Human Serum Lipid Library Toward High-throughput Analysis of Lipid Biomarkers for Type 1 Diabetes”
Type 1 diabetes (T1D) is referred to as childhood diabetes and resulted from the autoimmune destruction of insulin-secreting pancreatic beta cells. Currently, multiple positive autoantibodies of islet cell antigens can predict the onset of T1D; however, their occurrences may already be too late to prevent the progression to overt diabetes. Previous studies have reported that dysregulated lipid profiles in T1D subjects predate the appearance of islet autoantibodies – the earliest stage of clinical T1D natural progression. To identify these novel dysregulated lipid molecules, it requires a method to quickly analyze a large number of patient samples accurately. Herein, using 2-dimension liquid chromatography- tandem mass spectrometry (LC-MS/MS)-based analysis, a comprehensive human serum lipid library was constructed and contains 1500 lipid molecular species, which represents the largest human serum library ever developed for T1D research. This library can be utilized for high-throughput analysis of novel lipids contributed to the early diagnosis of T1D and others chronic childhood diseases.