Aliabbas A Husain, Sneha M Pinto, Yashwanth Subbannayya, Saketh Kapoor, Payal Khulkhule, Nidhi Bhartiya, T S Keshava Prasad, Hatim F Daginawala, Lokendra R Singh, Rajpal Singh Kashyap
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引用次数: 1
摘要
在本研究中,开发了一种靶向多反应监测-质谱(MRM-MS)方法来筛选和鉴定人类和牲畜布鲁氏菌病的蛋白质生物标志物。蛋白质型肽的选择是通过生成布鲁氏菌蛋白质组的硅质色氨酸进行的。通过生物信息学分析,合成了与10种免疫优势布鲁氏菌蛋白对应的30条合成肽。对117份人类和牲畜血清样本进行了优化,将其分为临床确诊(45份)、疑似(62份)和对照(10份),以准确检测这些肽。利用高通量MRM分析,在几个临床证实和疑似的人和牲畜血清样本中鉴定了四种肽的转变。其中,与abortus B.蛋白BruAb2_0537对应的肽段NAIYDVVTR在临床确认的人畜血清样本中均被检测到,特异性为100%。最后,建立了一种基于mrm - ms的高通量检测人畜血清中内源性流产杆菌肽的方法。制定的方案将有助于设计敏感的检测方法,以准确诊断人类和牲畜中的布鲁氏菌病。与本研究相关的数据保存在Panorama Public (https://panoramaweb.org/rNOZCy.url, ProteomeXchange ID: PXD034407)中。
Development of multiple reaction monitoring (MRM) assays to identify Brucella abortus proteins in the serum of humans and livestock.
In the present study, a targeted multiple reaction monitoring-mass spectrometry (MRM-MS) approach was developed to screen and identify protein biomarkers for brucellosis in humans and livestock. The selection of proteotypic peptides was carried out by generating in silico tryptic peptides of the Brucella proteome. Using bioinformatics analysis, 30 synthetic peptides corresponding to 10 immunodominant Brucella abortus proteins were generated. MRM-MS assays for the accurate detection of these peptides were optimized using 117 serum samples of human and livestock stratified as clinically confirmed (45), suspected (62), and control (10). Using high throughput MRM assays, transitions for four peptides were identified in several clinically confirmed and suspected human and livestock serum samples. Of these, peptide NAIYDVVTR corresponding to B. abortus proteins: BruAb2_0537 was consistently detected in the clinically confirmed serum samples of both humans and livestock with 100% specificity. To conclude, a high throughput MRM-MS-based protocol for detecting endogenous B. abortus peptides in serum samples of humans and livestock was developed. The developed protocol will help design sensitive assays to accurately diagnose brucellosis in humans and livestock. The data associated with this study are deposited in Panorama Public (https://panoramaweb.org/rNOZCy.url with ProteomeXchange ID: PXD034407).