Serum biomarkers for diagnosis and prediction of type 1 diabetes.
Serum biomarkers for diagnosis and prediction of type 1 diabetes.
复制标题
DOI：
10.1016/j.trsl.2018.07.009
复制
发表时间：
2018-11
期刊：
影响因子：
--
通讯作者：
Qian WJ
中科院分区：
文献类型：
--
作者：
Yi L;Swensen AC;Qian WJ
1型糖尿病（T1D）以自身免疫破坏胰腺β细胞为高潮，导致胰岛素分泌不足和高血糖症的发生。血清生物标志物包括葡萄糖、糖化分子、c肽和自身抗体的组合，已被广泛用于T1D的诊断。然而，这些分子通常标志着疾病的晚期，约90%的胰腺胰岛素生成β细胞已经丢失。随着世界范围内T1D患病率的增加，以及这种疾病引起的身体和心理负担，非常需要预后生物标志物来预测T1D的发展或进展。这将使我们能够识别出高危人群，进行早期预防和干预。因此，在过去的几十年里，人们一直致力于了解疾病的病因和发现新的生物标志物。用于蛋白质、核酸和代谢物研究的高通量和敏感“组学”技术的出现，使得T1D患者相对于无病对照组的蛋白质表达和基因变化的大规模分析成为可能。在这篇综述中，我们简要讨论了T1D的经典诊断生物标志物，但主要集中在被鉴定为β细胞破坏标志物的新型生物标志物，并使用最先进的“组学”技术进行筛选。
Type 1 diabetes (T1D) culminates in the autoimmune destruction of the pancreatic β-cells, leading to insufficient production of insulin and development of hyperglycemia. Serum biomarkers including a combination of glucose, glycated molecules, c-peptide, and autoantibodies have been well established for the diagnosis of T1D. However, these molecules often mark a late stage of the disease when ~90% of the pancreatic insulin-producing β-cells have already been lost. With the prevalence of T1D increasing worldwide and because of the physical and psychological burden induced by this disease, there is a great need for prognostic biomarkers to predict T1D development or progression. This would allow us to identify individuals at high risk for early prevention and intervention. Therefore, considerable efforts have been dedicated to the understanding of disease etiology and the discovery of novel biomarkers in the last few decades. The advent of high-throughput and sensitive ‘-omics’ technologies for the study of proteins, nucleic acids, and metabolites have allowed large scale profiling of protein expression and gene changes in T1D patients relative to disease-free controls. In this review, we briefly discuss the classical diagnostic biomarkers of T1D but mainly focus on the novel biomarkers that are identified as markers of β-cell destruction and screened with the use of state-of-the-art ‘-omics’ technologies.
登录
查看更多内容
DOI：
10.1126/science.aad2791
发表时间：
2016-02-12
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Delong T;Wiles TA;Baker RL;Bradley B;Barbour G;Reisdorph R;Armstrong M;Powell RL;Reisdorph N;Kumar N;Elso CM;DeNicola M;Bottino R;Powers AC;Harlan DM;Kent SC;Mannering SI;Haskins K
通讯作者：
Haskins K
影响因子：
3.7
作者：
Burch, Tanya C.;Morris, Margaret A.;Nyalwidhe, Julius O.
通讯作者：
Nyalwidhe, Julius O.
影响因子：
4.8
作者：
Erener, Suheda;Mojibian, Majid;Kieffer, Timothy J.
通讯作者：
Kieffer, Timothy J.
影响因子：
4.4
作者：
El Ouaamari A;Zhou JY;Liew CW;Shirakawa J;Dirice E;Gedeon N;Kahraman S;De Jesus DF;Bhatt S;Kim JS;Clauss TR;Camp DG 2nd;Smith RD;Qian WJ;Kulkarni RN
通讯作者：
Kulkarni RN
影响因子：
7.3
作者：
Eizirik, Decio L.;Cnop, Miriam
通讯作者：
Cnop, Miriam