National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, Changsha, China.
Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China.
Front Immunol. 2022 Jun 20;13:891698. doi: 10.3389/fimmu.2022.891698. eCollection 2022.
Type 1 diabetes (T1D) patients are at heightened risk for other autoimmune disorders, particularly Hashimoto's thyroiditis (HT) and celiac disease (CD). Recent evidence suggests that target tissues of autoimmune diseases engage in a harmful dialogue with the immune system. However, it is unclear whether shared mechanisms drive similar molecular signatures at the target tissues among T1D, HT, and CD. In our current study, microarray datasets were obtained and mined to identify gene signatures from disease-specific targeted tissues including the pancreas, thyroid, and intestine from individuals with T1D, HT, and CD, as well as their matched controls. Further, the threshold-free algorithm rank-rank hypergeometric overlap analysis (RRHO) was used to compare the genomic signatures of the target tissues of the three autoimmune diseases. Next, promising drugs that could potentially reverse the observed signatures in patients with two or more autoimmune disorders were identified using the cloud-based CLUE software platform. Finally, microarray data of auto-antibody positive individuals but not diagnosed with T1D and single cell sequencing data of patients with T1D and HT were used to validate the shared transcriptomic fingerprint. Our findings revealed significant common gene expression changes in target tissues of the three autoimmune diseases studied, many of which are associated with virus infections, including influenza A, human T-lymphotropic virus type 1, and herpes simplex infection. These findings support the importance of common environmental factors in the pathogenesis of T1D, HT, and CD.
1 型糖尿病(T1D)患者患其他自身免疫性疾病的风险增加,特别是桥本甲状腺炎(HT)和乳糜泻(CD)。最近的证据表明,自身免疫性疾病的靶组织与免疫系统之间存在有害对话。然而,目前尚不清楚 T1D、HT 和 CD 中是否存在共同的机制驱动靶组织中类似的分子特征。在我们目前的研究中,获得并挖掘了微阵列数据集,以从包括 T1D、HT 和 CD 患者及其匹配对照者的胰腺、甲状腺和肠道等特定疾病靶组织中识别基因特征。此外,使用无阈值算法秩-秩超几何重叠分析(RRHO)比较了三种自身免疫性疾病的靶组织的基因组特征。接下来,使用基于云的 CLUE 软件平台确定了可能逆转两种或多种自身免疫性疾病患者观察到的特征的有希望的药物。最后,使用自身抗体阳性但未被诊断为 T1D 的个体的微阵列数据和 T1D 和 HT 患者的单细胞测序数据来验证共享转录组指纹。我们的研究结果表明,在研究的三种自身免疫性疾病的靶组织中存在显著的共同基因表达变化,其中许多与病毒感染有关,包括甲型流感、人类 T 淋巴细胞性病毒 1 和单纯疱疹感染。这些发现支持共同环境因素在 T1D、HT 和 CD 发病机制中的重要性。