...
首页> 外文期刊>Proteomics. Clinical applications >Proteins and protein fragments in nephrotic syndrome:Clusters, specificity and mechanisms
【24h】

Proteins and protein fragments in nephrotic syndrome:Clusters, specificity and mechanisms

机译:肾病综合征的蛋白质和蛋白质片段:簇,特异性和机制

获取原文
获取原文并翻译 | 示例
           

摘要

Proteinuria is the hallmark of renal diseases and the characterization of the urinary protein composition may become an important source of information for diagnosis and research. So far, protein analysis in urine has been utilized for a generic individuation of site-specific defects (glomerular vs. tubular) but there is a need for an extension of proteomics to specific urinary biomarkers in selected clinical conditions. The identification of fragments of proteins in plasma and urine may increase the spectrum of urinary biomarkers. The unique speculative application so far proposed for protein fragments is nephrotic syndrome, and specifically focal segmental glomerulosclerosis, in which case they reflect intrinsic proteolysis occurring in plasma and represent surrogate biomarkers of the disease activity. Albumin is probably the most studied protein. Several of the albumin fragments present a peculiar distribution of the fingerprint peptide pattern containing both the N-terminal region and the C-terminal domain with a complete lack of any MS signals for the internal sequence region. Their characterization utilizing new strategies based on 2-D nondenaturing electrophoresis is now in progress. Studies on a direct characterization of proteases in plasma and urine will also define the participation of proteases to the genesis of renal diseases.
机译:蛋白尿是肾病的标志,尿蛋白成分的表征可能成为诊断和研究信息的重要来源。迄今为止,尿液中的蛋白质分析已用于特定部位缺陷(肾小球与肾小管)的一般化分类,但是在选定的临床条件下,需要将蛋白质组学扩展到特定的尿液生物标志物。血浆和尿液中蛋白质片段的鉴定可能会增加尿液生物标志物的范围。迄今为止,针对蛋白质片段提出的独特推测应用是肾病综合征,尤其是局灶节段性肾小球硬化,在这种情况下,它们反映了血浆中发生的内在蛋白水解作用,并代表了疾病活动的替代生物标志物。白蛋白可能是研究最多的蛋白质。一些白蛋白片段呈现出指纹肽模式的特殊分布,该指纹肽模式同时包含N端区域和C端结构域,而内部序列区域完全没有任何MS信号。他们正在利用基于二维非变性电泳的新策略进行表征。对血浆和尿液中蛋白酶的直接表征的研究也将定义蛋白酶参与肾脏疾病的起源。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号