Ghent University, Department of Biochemistry and Microbiology, K.L. Ledeganckstraat 35, B-9000 Ghent, Belgium.
Ghent University, Department of Applied Mathematics, Computer Science and Statistics, Krijgslaan 281, B-9000 Ghent, Belgium.
J Cyst Fibros. 2016 Mar;15(2):242-50. doi: 10.1016/j.jcf.2015.08.003. Epub 2015 Aug 30.
Several microbial studies reported gut microbiota dysbiosis in patients with cystic fibrosis (CF). The functional consequences of this phenomenon are poorly understood. Faecal metaproteomics allows the quantitative analysis of host and microbial proteins to address functional changes resulting from this dysbiosis.
We analysed faecal protein extracts from fifteen patients with CF that have pancreatic insufficiency and from their unaffected siblings by shotgun proteomics. Novel computational and statistical tools were introduced to evaluate changes in taxonomic composition and protein abundance.
Faecal protein extracts from patients with CF were dominated by host proteins involved in inflammation and mucus formation. Taxonomic analysis of the microbial proteins confirmed the strong reduction of butyrate reducers such as Faecalibacterium prausnitzii and increase of Enterobacteriaceae, Ruminococcus gnavus and Clostridia species.
Faecal metaproteomics provides insights in intestinal dysbiosis, inflammation in patients with CF and can be used to monitor different disease markers in parallel.
一些微生物研究报告称囊性纤维化 (CF) 患者存在肠道微生物群落失调。但人们对这种现象的功能后果知之甚少。粪便宏蛋白质组学允许定量分析宿主和微生物蛋白质，以解决这种失调引起的功能变化。
我们通过鸟枪法蛋白质组学分析了 15 名胰腺功能不全的 CF 患者及其未受影响的兄弟姐妹的粪便蛋白提取物。引入了新的计算和统计工具来评估分类组成和蛋白质丰度的变化。
CF 患者的粪便蛋白提取物主要由参与炎症和粘液形成的宿主蛋白组成。微生物蛋白的分类分析证实，丁酸还原菌（如 Faecalibacterium prausnitzii）大量减少，肠杆菌科、Ruminococcus gnavus 和梭菌属的数量增加。
粪便宏蛋白质组学提供了 CF 患者肠道失调、炎症的深入见解，并可用于同时监测不同的疾病标志物。
