Division of Parasitology, Medical Research Council National Institute for Medical Research, London, United Kingdom.
PLoS One. 2012;7(12):e49778. doi: 10.1371/journal.pone.0049778. Epub 2012 Dec 4.
Cerebral malaria (CM) and severe malarial anemia (SMA) are the most serious life-threatening clinical syndromes of Plasmodium falciparum infection in childhood. Therefore it is important to understand the pathology underlying the development of CM and SMA, as opposed to uncomplicated malaria (UM). Different host responses to infection are likely to be reflected in plasma proteome-patterns that associate with clinical status and therefore provide indicators of the pathogenesis of these syndromes.
Plasma and comprehensive clinical data for discovery and validation cohorts were obtained as part of a prospective case-control study of severe childhood malaria at the main tertiary hospital of the city of Ibadan, an urban and densely populated holoendemic malaria area in Nigeria. A total of 946 children participated in this study. Plasma was subjected to high-throughput proteomic profiling. Statistical pattern-recognition methods were used to find proteome-patterns that defined disease groups. Plasma proteome-patterns accurately distinguished children with CM and with SMA from those with UM, and from healthy or severely ill malaria-negative children.
We report that an accurate definition of the major childhood malaria syndromes can be achieved using plasma proteome-patterns. Our proteomic data can be exploited to understand the pathogenesis of the different childhood severe malaria syndromes.
脑型疟疾（CM）和严重疟疾性贫血（SMA）是儿童感染恶性疟原虫最严重的危及生命的临床综合征。因此，了解 CM 和 SMA 发病的病理机制与不复杂疟疾（UM）不同，这一点很重要。宿主对感染的不同反应可能反映在与临床状况相关的血浆蛋白质组模式中，因此为这些综合征的发病机制提供了指标。
在尼日利亚伊巴丹市主要三级医院进行的严重儿童疟疾前瞻性病例对照研究中，获得了发现和验证队列的血浆和综合临床数据。共有 946 名儿童参与了这项研究。对血浆进行了高通量蛋白质组学分析。使用统计模式识别方法找到定义疾病组的蛋白质组模式。血浆蛋白质组模式能够准确地区分患有 CM 和 SMA 的儿童与患有 UM 的儿童，以及与健康或重病的无疟疾儿童。
我们报告说，使用血浆蛋白质组模式可以准确地定义主要的儿童疟疾综合征。我们的蛋白质组数据可用于了解不同儿童严重疟疾综合征的发病机制。
