Yu Yanbao, Sikorski Patricia, Smith Madeline, Bowman-Gholston Cynthia, Cacciabeve Nicolas, Nelson Karen E, Pieper Rembert
J. Craig Venter Institute, 9714 Medical Center Drive, Rockville, MD 20850.
Quest Diagnostics at Shady Grove Adventist Hospital, 9901 Medical Center Drive, Rockville 20850, MD.
Theranostics. 2017 Jan 1;7(2):238-252. doi: 10.7150/thno.16086. eCollection 2017.
Inflammation in the urinary tract results in a urinary proteome characterized by a high dynamic range of protein concentrations and high variability in protein content. This proteome encompasses plasma proteins not resorbed by renal tubular uptake, renal secretion products, proteins of immune cells and erythrocytes derived from trans-urothelial migration and vascular leakage, respectively, and exfoliating urothelial and squamous epithelial cells. We examined how such proteins partition into soluble urine (SU) and urinary pellet (UP) fractions by analyzing 33 urine specimens 12 of which were associated with a urinary tract infection (UTI). Using mass spectrometry-based metaproteomic approaches, we identified 5,327 non-redundant human proteins, 2,638 and 4,379 of which were associated with SU and UP fractions, respectively, and 1,206 non-redundant protein orthology groups derived from pathogenic and commensal organisms of the urogenital tract. Differences between the SU and UP proteomes were influenced by local inflammation, supported by respective comparisons with 12 healthy control urine proteomes. Clustering analyses showed that SU and UP fractions had proteomic signatures discerning UTIs, vascular injury, and epithelial cell exfoliation from the control group to varying degrees. Cases of UTI revealed clusters of proteins produced by activated neutrophils. Network analysis supported the central role of neutrophil effector proteins in the defense against invading pathogens associated with subsequent coagulation and wound repair processes. Our study expands the existing knowledge of the urinary proteome under perturbed conditions, and should be useful as reference dataset in the search of biomarkers.
尿路炎症会导致尿液蛋白质组呈现出蛋白质浓度动态范围高且蛋白质含量变异性大的特征。该蛋白质组包括未被肾小管重吸收的血浆蛋白、肾脏分泌产物、免疫细胞蛋白以及分别源自经尿道上皮迁移和血管渗漏的红细胞,还有脱落的尿道上皮和鳞状上皮细胞。我们通过分析33份尿液标本(其中12份与尿路感染(UTI)相关),研究了这些蛋白质如何分配到可溶性尿液(SU)和尿沉渣(UP)组分中。使用基于质谱的宏蛋白质组学方法,我们鉴定出5327种非冗余人类蛋白质,其中2638种和4379种分别与SU和UP组分相关,以及1206个源自泌尿生殖道致病和共生生物的非冗余蛋白质直系同源组。SU和UP蛋白质组之间的差异受局部炎症影响,与12份健康对照尿液蛋白质组的相应比较支持了这一点。聚类分析表明,SU和UP组分具有蛋白质组特征,能在不同程度上区分UTI、血管损伤和上皮细胞脱落与对照组。UTI病例显示出由活化中性粒细胞产生的蛋白质簇。网络分析支持中性粒细胞效应蛋白在抵御入侵病原体以及随后的凝血和伤口修复过程中的核心作用。我们的研究扩展了对扰动条件下尿液蛋白质组的现有认识,应可作为寻找生物标志物的参考数据集。