Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
Clin Biochem. 2010 Aug;43(12):948-56. doi: 10.1016/j.clinbiochem.2010.04.075. Epub 2010 May 16.
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.
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.
Five hundred fifty-nine lipid features differentiated (q<0.05) diabetic from healthy individuals in a partial least-squares analysis, characterizing individuals with recently diagnosed type 1 diabetes mellitus.
A lipid profile associated with newly diagnosed type 1 diabetes may aid in further characterization of biochemical pathways involved in lipid regulation or mobilization.
使用基于 LC-MS 的脂质组学和精确质量和时间 (AMT) 标记方法,描述新诊断的 1 型糖尿病患者的脂质谱特征。
从糖尿病抗体标准化计划 (2000-2005 年) 的 10 名受试者和 10 名非糖尿病受试者的血浆和血清中提取脂质,并通过毛细管液相色谱与混合离子阱-傅里叶变换离子回旋共振质谱联用进行分析。使用 AMT 标记方法对脂质进行鉴定和定量。
在偏最小二乘分析中,559 个脂质特征可区分 (q<0.05) 糖尿病患者和健康个体,可用于对新诊断的 1 型糖尿病患者进行特征描述。
与新诊断的 1 型糖尿病相关的脂质谱可能有助于进一步描述参与脂质调节或动员的生化途径。