Querec Troy D, Akondy Rama S, Lee Eva K, Cao Weiping, Nakaya Helder I, Teuwen Dirk, Pirani Ali, Gernert Kim, Deng Jiusheng, Marzolf Bruz, Kennedy Kathleen, Wu Haiyan, Bennouna Soumaya, Oluoch Herold, Miller Joseph, Vencio Ricardo Z, Mulligan Mark, Aderem Alan, Ahmed Rafi, Pulendran Bali
Emory Vaccine Center, Yerkes National Primate Research Center, 954 Gatewood Road, Atlanta, Georgia 30329, USA.
Center for Operations Research in Medicine & Healthcare, School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
Nat Immunol. 2009 Jan;10(1):116-125. doi: 10.1038/ni.1688. Epub 2008 Nov 23.
A major challenge in vaccinology is to prospectively determine vaccine efficacy. Here we have used a systems biology approach to identify early gene 'signatures' that predicted immune responses in humans vaccinated with yellow fever vaccine YF-17D. Vaccination induced genes that regulate virus innate sensing and type I interferon production. Computational analyses identified a gene signature, including complement protein C1qB and eukaryotic translation initiation factor 2 alpha kinase 4-an orchestrator of the integrated stress response-that correlated with and predicted YF-17D CD8(+) T cell responses with up to 90% accuracy in an independent, blinded trial. A distinct signature, including B cell growth factor TNFRS17, predicted the neutralizing antibody response with up to 100% accuracy. These data highlight the utility of systems biology approaches in predicting vaccine efficacy.
疫苗学中的一个主要挑战是前瞻性地确定疫苗效力。在此,我们采用了系统生物学方法来识别早期基因“特征”,这些特征可预测接种黄热病疫苗YF - 17D的人类的免疫反应。接种疫苗诱导了调节病毒天然感知和I型干扰素产生的基因。计算分析确定了一个基因特征,包括补体蛋白C1qB和真核翻译起始因子2α激酶4(综合应激反应的协调因子),在一项独立的、盲法试验中,该特征与YF - 17D CD8(+) T细胞反应相关,并能以高达90%的准确率预测该反应。一个不同的特征,包括B细胞生长因子TNFRS17,能以高达100%的准确率预测中和抗体反应。这些数据突出了系统生物学方法在预测疫苗效力方面的实用性。