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1型糖尿病的生物标志物。

Biomarkers for type 1 diabetes.

作者信息

Purohit Sharad, She Jin-Xiong

出版信息

Int J Clin Exp Med. 2008;1(2):98-116. Epub 2008 Feb 29.

Abstract

Type 1 diabetes (T1D) is an autoimmune disorder characterized by the immune destruction of the insulin producing beta cells of the pancreatic islets. Autoimmunity towards pancreatic antigens results from complex interactions between multiple genes, environmental factors and the immune system. The autoimmune process may occur many years before the onset of clinical diabetes and this long asymptomatic period provides excellent opportunities for the prediction and prevention of the disease. Research in past four decades has identified a number of risk factors including susceptibility genes, gene and protein expression changes, cellular changes as well as environmental triggers, which may serve as excellent biomarkers for risk assessment. Furthermore, demographic and clinical parameters such as age and family history of diabetes and other autoimmune diseases are also important for risk assessment. Despite the identification of multiple useful biomarkers, the existing tests for T1D prediction are still imperfect and earlier biomarkers are also urgently needed. Because of the insufficient predictive power of individual risk factors, future biomarkers with better predictive power will most likely take advantage of the combinatorial power of multiple biomarkers of different nature and the integration of various biomarkers and demographic/clinical information will be the key to success.

摘要

1型糖尿病(T1D)是一种自身免疫性疾病,其特征是胰岛中产生胰岛素的β细胞受到免疫破坏。对胰腺抗原的自身免疫源于多个基因、环境因素和免疫系统之间的复杂相互作用。自身免疫过程可能在临床糖尿病发病前许多年就已发生,而这段漫长的无症状期为疾病的预测和预防提供了绝佳机会。过去四十年来的研究已经确定了许多风险因素,包括易感基因、基因和蛋白质表达变化、细胞变化以及环境触发因素,这些因素可作为风险评估的优良生物标志物。此外,人口统计学和临床参数,如年龄以及糖尿病和其他自身免疫性疾病的家族史,对风险评估也很重要。尽管已经确定了多种有用的生物标志物,但现有的T1D预测测试仍然不完善,因此也迫切需要更早出现的生物标志物。由于个体风险因素的预测能力不足,未来具有更好预测能力的生物标志物很可能会利用多种不同性质生物标志物的组合能力,而整合各种生物标志物以及人口统计学/临床信息将是成功的关键。

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