Meade Kieran G, Gormley Eamonn, Doyle Mairéad B, Fitzsimons Tara, O'Farrelly Cliona, Costello Eamon, Keane Joseph, Zhao Yingdong, MacHugh David E
Education and Research Centre, St. Vincent's University Hospital, Dublin 4, Ireland.
BMC Genomics. 2007 Oct 31;8:400. doi: 10.1186/1471-2164-8-400.
Bovine tuberculosis is an enduring disease of cattle that has significant repercussions for human health. The advent of high-throughput functional genomics technologies has facilitated large-scale analyses of the immune response to this disease that may ultimately lead to novel diagnostics and therapeutic targets. Analysis of mRNA abundance in peripheral blood mononuclear cells (PBMC) from six Mycobacterium bovis infected cattle and six non-infected controls was performed. A targeted immunospecific bovine cDNA microarray with duplicated spot features representing 1,391 genes was used to test the hypothesis that a distinct gene expression profile may exist in M. bovis infected animals in vivo.
In total, 378 gene features were differentially expressed at the P < or = 0.05 level in bovine tuberculosis (BTB)-infected and control animals, of which 244 were expressed at lower levels (65%) in the infected group. Lower relative expression of key innate immune genes, including the Toll-like receptor 2 (TLR2) and TLR4 genes, lack of differential expression of indicator adaptive immune gene transcripts (IFNG, IL2, IL4), and lower BOLA major histocompatibility complex - class I (BOLA) and class II (BOLA-DRA) gene expression was consistent with innate immune gene repression in the BTB-infected animals. Supervised hierarchical cluster analysis and class prediction validation identified a panel of 15 genes predictive of disease status and selected gene transcripts were validated (n = 8 per group) by real time quantitative reverse transcription PCR.
These results suggest that large-scale expression profiling can identify gene signatures of disease in peripheral blood that can be used to classify animals on the basis of in vivo infection, in the absence of exogenous antigenic stimulation.
牛结核病是一种困扰牛群的持久性疾病,对人类健康有重大影响。高通量功能基因组学技术的出现促进了对该疾病免疫反应的大规模分析,这最终可能会带来新的诊断方法和治疗靶点。对六头感染牛分枝杆菌的牛和六头未感染对照牛的外周血单核细胞(PBMC)中的mRNA丰度进行了分析。使用具有代表1391个基因的重复斑点特征的靶向免疫特异性牛cDNA微阵列来检验以下假设:在体内感染牛分枝杆菌的动物中可能存在独特的基因表达谱。
在牛结核病(BTB)感染和对照动物中,共有378个基因特征在P≤0.05水平上差异表达,其中244个在感染组中表达水平较低(65%)。关键天然免疫基因的相对表达较低,包括Toll样受体2(TLR2)和TLR4基因,指示性适应性免疫基因转录本(IFNG、IL2、IL4)缺乏差异表达,以及牛主要组织相容性复合体I类(BOLA)和II类(BOLA-DRA)基因表达较低,这与BTB感染动物中天然免疫基因的抑制一致。监督层次聚类分析和类别预测验证确定了一组15个可预测疾病状态的基因,所选基因转录本通过实时定量逆转录PCR进行了验证(每组8个)。
这些结果表明,大规模表达谱分析可以识别外周血中的疾病基因特征,可用于在无外源抗原刺激的情况下根据体内感染对动物进行分类。