Dey-Rao Rama, Sinha Animesh A
Department of Dermatology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 6078 Clinical and Translational Research Center, 875 Ellicott Street, Buffalo, NY, 14203, USA.
BMC Genomics. 2017 Jan 28;18(1):109. doi: 10.1186/s12864-017-3510-3.
Significant gaps remain regarding the pathomechanisms underlying the autoimmune response in vitiligo (VL), where the loss of self-tolerance leads to the targeted killing of melanocytes. Specifically, there is incomplete information regarding alterations in the systemic environment that are relevant to the disease state.
We undertook a genome-wide profiling approach to examine gene expression in the peripheral blood of VL patients and healthy controls in the context of our previously published VL-skin gene expression profile. We used several in silico bioinformatics-based analyses to provide new insights into disease mechanisms and suggest novel targets for future therapy.
Unsupervised clustering methods of the VL-blood dataset demonstrate a "disease-state"-specific set of co-expressed genes. Ontology enrichment analysis of 99 differentially expressed genes (DEGs) uncovers a down-regulated immune/inflammatory response, B-Cell antigen receptor (BCR) pathways, apoptosis and catabolic processes in VL-blood. There is evidence for both type I and II interferon (IFN) playing a role in VL pathogenesis. We used interactome analysis to identify several key blood associated transcriptional factors (TFs) from within (STAT1, STAT6 and NF-kB), as well as "hidden" (CREB1, MYC, IRF4, IRF1, and TP53) from the dataset that potentially affect disease pathogenesis. The TFs overlap with our reported lesional-skin transcriptional circuitry, underscoring their potential importance to the disease. We also identify a shared VL-blood and -skin transcriptional "hot spot" that maps to chromosome 6, and includes three VL-blood dysregulated genes (PSMB8, PSMB9 and TAP1) described as potential VL-associated genetic susceptibility loci. Finally, we provide bioinformatics-based support for prioritizing dysregulated genes in VL-blood or skin as potential therapeutic targets.
We examined the VL-blood transcriptome in context with our (previously published) VL-skin transcriptional profile to address a major gap in knowledge regarding the systemic changes underlying skin-specific manifestation of vitiligo. Several transcriptional "hot spots" observed in both environments offer prioritized targets for identifying disease risk genes. Finally, within the transcriptional framework of VL, we identify five novel molecules (STAT1, PRKCD, PTPN6, MYC and FGFR2) that lend themselves to being targeted by drugs for future potential VL-therapy.
白癜风(VL)自身免疫反应的发病机制仍存在重大空白,自身耐受性的丧失导致黑素细胞被靶向杀伤。具体而言,关于与疾病状态相关的全身环境改变的信息尚不完整。
我们采用全基因组分析方法,结合我们之前发表的VL皮肤基因表达谱,研究VL患者和健康对照外周血中的基因表达。我们使用了几种基于计算机生物信息学的分析方法,以深入了解疾病机制并为未来治疗提出新的靶点。
VL血液数据集的无监督聚类方法显示了一组“疾病状态”特异性的共表达基因。对99个差异表达基因(DEG)的本体富集分析发现,VL血液中的免疫/炎症反应、B细胞抗原受体(BCR)途径、凋亡和分解代谢过程下调。有证据表明I型和II型干扰素(IFN)均在VL发病机制中起作用。我们使用相互作用组分析从数据集中识别出几个关键的血液相关转录因子(TF),包括内部的(STAT1、STAT6和NF-κB)以及“隐藏”的(CREB1、MYC、IRF4、IRF1和TP53),它们可能影响疾病发病机制。这些TF与我们报道的皮损转录回路重叠,强调了它们对疾病的潜在重要性。我们还确定了一个共同的VL血液和皮肤转录“热点”,定位于6号染色体,包括三个VL血液中失调的基因(PSMB8、PSMB9和TAP1),它们被描述为潜在的VL相关遗传易感性位点。最后,我们提供基于生物信息学的支持,以将VL血液或皮肤中失调的基因作为潜在治疗靶点进行优先级排序。
我们结合我们(之前发表的)VL皮肤转录谱研究了VL血液转录组,以填补关于白癜风皮肤特异性表现背后全身变化的主要知识空白。在两种环境中观察到的几个转录“热点”为识别疾病风险基因提供了优先靶点。最后,在VL的转录框架内,我们确定了五个新分子(STAT1、PRKCD、PTPN6、MYC和FGFR2),它们有望成为未来VL治疗药物的靶点。