Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, United States.
Applied Statistics & Computational Modeling, Pacific Northwest National Laboratory, Richland, WA, United States.
J Proteomics. 2018 Feb 10;172:100-110. doi: 10.1016/j.jprot.2017.10.004. Epub 2017 Oct 7.
Blood markers other than islet autoantibodies are greatly needed to indicate the pancreatic beta cell destruction process as early as possible, and more accurately reflect the progression of Type 1 Diabetes Mellitus (T1D). To this end, a longitudinal proteomic profiling of human plasma using TMT-10plex-based LC-MS/MS analysis was performed to track temporal proteomic changes of T1D patients (n=11) across 9 serial time points, spanning the period of T1D natural progression, in comparison with those of the matching healthy controls (n=10). To our knowledge, the current study represents the largest (>2000 proteins measured) longitudinal expression profiles of human plasma proteome in T1D research. By applying statistical trend analysis on the temporal expression patterns between T1D and controls, and Benjamini-Hochberg procedure for multiple-testing correction, 13 protein groups were regarded as having statistically significant differences during the entire follow-up period. Moreover, 16 protein groups, which play pivotal roles in response to oxidative stress, have consistently abnormal expression trend before seroconversion to islet autoimmunity. Importantly, the expression trends of two key reactive oxygen species-decomposing enzymes, Catalase and Superoxide dismutase were verified independently by ELISA.
The temporal changes of >2000 plasma proteins (at least quantified in two subjects), spanning the entire period of T1D natural progression were provided to the research community. Oxidative stress related proteins have consistently different dysregulated patterns in T1D group than in age-sex matched healthy controls, even prior to appearance of islet autoantibodies - the earliest sign of islet autoimmunity and pancreatic beta cell stress.
非常需要除胰岛自身抗体以外的血液标志物来尽早指示胰岛β细胞破坏过程,并更准确地反映 1 型糖尿病(T1D)的进展。为此,使用基于 TMT-10plex 的 LC-MS/MS 分析对人血浆进行了纵向蛋白质组学分析,以跟踪 11 例 T1D 患者(跨越 T1D 自然进展期)的时空蛋白质组学变化,与 10 例匹配的健康对照者相比。据我们所知,目前的研究代表了 T1D 研究中人类血浆蛋白质组最大的(>2000 种蛋白质测量)纵向表达谱。通过对 T1D 和对照组之间的时间表达模式应用统计趋势分析,以及 Benjamini-Hochberg 多重测试校正程序,在整个随访期间有 13 个蛋白质组被认为具有统计学差异。此外,在自身免疫性胰岛发生之前,16 个在应对氧化应激中起关键作用的蛋白质组具有一致的异常表达趋势。重要的是,两种关键活性氧分解酶,过氧化氢酶和超氧化物歧化酶的表达趋势通过 ELISA 得到了独立验证。
提供了>2000 种(至少在两个受试者中定量)血浆蛋白的时间变化,涵盖了 T1D 自然进展的整个时期。氧化应激相关蛋白质在 T1D 组与年龄性别匹配的健康对照组之间的失调模式始终不同,即使在胰岛自身抗体出现之前 - 这是胰岛自身免疫和胰岛β细胞应激的最早迹象。