Perturbations in the lipid profile of individuals with newly diagnosed type 1 diabetes mellitus: Lipidomics analysis of a Diabetes Antibody Standardization Program sample subset

Abstract

Objectives To characterize the lipid profile of individuals with newly diagnosed type 1 diabetes mellitus using LC-MS-based lipidomics and the accurate mass and time (AMT) tag approach. Design and methods Lipids were extracted from plasma and sera of 10 subjects from the Diabetes Antibody Standardization Program (years 2000–2005) and 10 non-diabetic subjects and analyzed by capillary liquid chromatography coupled with a hybrid ion-trap-Fourier transform ion cyclotron resonance mass spectrometer. Lipids were identified and quantified using the AMT tag approach. Results Five hundred fifty-nine lipid features differentiated (q < 0.05) diabetic from healthy individuals in a partial least-squares analysis, characterizing of individuals with recently diagnosed type 1 diabetes mellitus. Conclusions A lipid profile associated with newly diagnosed type 1 diabetes may aid in further characterization of biochemical pathways involved in lipid regulation or mobilization.

Lipidomic investigations for the characterization of circulating serum lipids in multiple sclerosis

“…In the last years, the lipidomic based LC-MS approach has been frequently used in the area of biomarker discovery in different pathological conditions [22][23][24][25][26][27][28][29].…”

The MPLEx Protocol for Multi-omic Analyses of Soil Samples

“…This method was originally developed for total lipid extractions 9,11 and more recently was amended for the simultaneous extraction of metabolites, proteins, and lipids from a single sample 12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30, enabling less sample quantity and experimental variability 10 . In the MPLEx protocol, chloroform is not miscible with water, which provides the basis for the triphasic chemical separation of sample constituents into distinct fractions.…”

Lipidomics

“…[33][34][35][36][37][38][39][40] A summary of the studies is presented in Table 3. Lipid profiling has shown promising results in diabetes mellitus, [41][42][43][44][45][46][47] CVDs, 35,37,38,48-52 metabolic disorders, 40,53,54 dietary habits, and obesity, 47,49,[55][56][57][58][59][60][61] as well as in determining response to drug therapy. [62][63][64][65] Most studies analyzed either blood or tissue samples (ie, diabetic retinopathy, 46 atherosclerotic plaques, 52 muscle, 47 or adipose tissue).…”