Department of Medicine, University of Alberta, Edmonton, Canada.
Brain Behav Immun. 2011 Feb;25(2):302-13. doi: 10.1016/j.bbi.2010.10.011. Epub 2010 Oct 16.
Gulf War Illness (GWI) is a complex disorder affecting nervous, endocrine and immune regulation. Accordingly, we propose that GWI presents with a distinct pattern of immune signaling. To explore this we compared interaction patterns linking immune markers and their evolution during exercise. Blood was collected from 9 GWI and 11 control subjects prior to a Graded eXercise Test (GXT) (t₀), at peak effort (t₁) and 4 h post-exercise (t₂). Salivary cortisol and plasma, serum or culture supernatants were analyzed for concentrations of neuropeptide Y (NPY), IL-1α, IL-5, IL-6, IL-10, TNF-α, IFN-γ and soluble CD26 (sCD26). Immune cell populations were surface stained for CD19, CD2, CD3, CD4, CD8, CD26, CD56, CD16, and CD11a. Mutual information (MI) networks linking these immune markers were generated in each group at each time point. Graph theory was used to describe the evolution of each network's structure and identify potential nucleating points. Distinct in topology, GWI networks had more abundant connections but were less organized. NPY, IL-1α, TNF-α and CD2+/CD26+ nodes were better integrated in the GWI network at rest. Under effort (t₁) these differences were replaced by significant restructuring around nodes for CD19+ B cell population, IL-5, IL-6 and soluble CD26 concentrations. This pattern subsided post-exercise. Further analysis indicated that IL-1α and CD2+/CD26+ nodes strongly influenced this characteristic modulation of B and T cell network motifs. This potentially heightened lymphocyte and HPA axis responsiveness to IL-1 stimulation in the context of a mixed Th1:Th2 immune signature supports an autoimmune component in GWI etiology.
海湾战争病(GWI)是一种影响神经、内分泌和免疫调节的复杂疾病。因此,我们提出 GWI 表现出一种独特的免疫信号模式。为了探索这一点,我们比较了在运动过程中连接免疫标志物及其演变的相互作用模式。在分级运动试验(GXT)之前(t₀)、达到峰值努力(t₁)和运动后 4 小时(t₂),从 9 名 GWI 和 11 名对照受试者中采集血液。分析了神经肽 Y(NPY)、IL-1α、IL-5、IL-6、IL-10、TNF-α、IFN-γ 和可溶性 CD26(sCD26)的血浆、血清或培养上清液浓度。用免疫细胞表面染色法对 CD19、CD2、CD3、CD4、CD8、CD26、CD56、CD16 和 CD11a 进行了染色。在每个时间点的每个组中生成了链接这些免疫标志物的互信息(MI)网络。使用图论来描述每个网络结构的演变并识别潜在的核化点。拓扑结构不同,GWI 网络具有更丰富的连接,但组织性较差。在休息时,NPY、IL-1α、TNF-α 和 CD2+/CD26+节点在 GWI 网络中更好地整合。在努力下(t₁),这些差异被围绕 CD19+B 细胞群、IL-5、IL-6 和可溶性 CD26 浓度的节点的显著重构所取代。这种模式在运动后消退。进一步的分析表明,IL-1α 和 CD2+/CD26+节点强烈影响 B 和 T 细胞网络图案的这种特征调节。在混合 Th1:Th2 免疫特征的背景下,这可能增加了淋巴细胞和 HPA 轴对 IL-1 刺激的反应性,支持 GWI 病因中的自身免疫成分。