Quantitative Proteomics of Cerebrospinal Fluid in Paediatric Pneumococcal Meningitis.
Quantitative Proteomics of Cerebrospinal Fluid in Paediatric Pneumococcal Meningitis.
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DOI：
10.1038/s41598-017-07127-6
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发表时间：
2017-08-01
影响因子：
4.6
通讯作者：
Carrol ED
中科院分区：
文献类型：
--
作者：
Gómez-Baena G;Bennett RJ;Martínez-Rodríguez C;Wnęk M;Laing G;Hickey G;McLean L;Beynon RJ;Carrol ED
肺炎链球菌是造成脑膜炎、肺炎和败血症等重大全球公共卫生问题的罪魁祸首。尽管最近在抗菌治疗方面取得了进展，但肺炎球菌性脑膜炎仍然是一种危及生命的疾病。此外，长期后遗症是幸存者的主要关切。因此，更好地了解中枢神经系统中发生的过程对于制定更有效的管理策略至关重要。我们使用基于质谱的定量蛋白质组学来鉴定肺炎链球菌感染儿童脑脊液中的蛋白质变化，并与细菌性脑膜炎症状住院但诊断阴性的儿童进行比较。通过无标记蛋白质组学，在两个独立的群组中分析样品（群组1：病例（n = 8）和医院对照（n = 4）;群组2：病例（n = 8），医院对照（n = 8））。在每个队列中有超过200种人类蛋白质差异表达，其中65%是共同的。参与免疫反应和外泌体信号传导的蛋白质在感染的样品中显著富集。对于来自蛋白质组分析的蛋白质子集，我们通过自动定量蛋白质印迹法证实了第三队列（医院对照组（n = 15），健康对照组（n = 5），病例（n = 20））中的蛋白质组学数据，与我们的蛋白质组学研究结果非常一致。蛋白质组学数据可通过ProteomeXchange获得，标识符为PXD 004219。
Streptococcus pneumoniae is responsible for diseases causing major global public health problems, including meningitis, pneumonia and septicaemia. Despite recent advances in antimicrobial therapy, pneumococcal meningitis remains a life-threatening disease. Furthermore, long-term sequelae are a major concern for survivors. Hence, a better understanding of the processes occurring in the central nervous system is crucial to the development of more effective management strategies. We used mass spectrometry based quantitative proteomics to identify protein changes in cerebrospinal fluid from children with Streptococcus pneumoniae infection, compared with children admitted to hospital with bacterial meningitis symptoms but negative diagnosis. Samples were analysed, by label free proteomics, in two independent cohorts (cohort 1: cases (n = 8) and hospital controls (n = 4); cohort 2: cases (n = 8), hospital controls (n = 8)). Over 200 human proteins were differentially expressed in each cohort, of which 65% were common to both. Proteins involved in the immune response and exosome signalling were significantly enriched in the infected samples. For a subset of proteins derived from the proteome analysis, we corroborated the proteomics data in a third cohort (hospital controls (n = 15), healthy controls (n = 5), cases (n = 20)) by automated quantitative western blotting, with excellent agreement with our proteomics findings. Proteomics data are available via ProteomeXchange with identifier PXD004219.
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影响因子：
4.4
作者：
Cordeiro AP;Silva Pereira RA;Chapeaurouge A;Coimbra CS;Perales J;Oliveira G;Sanchez Candiani TM;Coimbra RS
通讯作者：
Coimbra RS
影响因子：
3.1
作者：
Colino, Jesus;Snapper, Clifford M.
通讯作者：
Snapper, Clifford M.
影响因子：
3.1
作者：
Leib, SL;Leppert, D;Täuber, MG
通讯作者：
Täuber, MG
影响因子：
4.4
作者：
Hoegen, Tobias;Tremel, Nadin;Koedel, Uwe
通讯作者：
Koedel, Uwe
影响因子：
15.1
作者：
Heywood WE;Galimberti D;Bliss E;Sirka E;Paterson RW;Magdalinou NK;Carecchio M;Reid E;Heslegrave A;Fenoglio C;Scarpini E;Schott JM;Fox NC;Hardy J;Bhatia K;Heales S;Sebire NJ;Zetterberg H;Mills K
通讯作者：
Mills K