Systems Biology Research Centre, School of Bioscience, University of Skövde, Skövde, Sweden.
Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
BMC Ophthalmol. 2024 Jan 29;24(1):44. doi: 10.1186/s12886-024-03314-y.
Exfoliative glaucoma (XFG) is a subtype of open-angle glaucoma characterized by distinctive extracellular fibrils and a yet unknown pathogenesis potentially involving immune-related factors. The aim of this exploratory study was to identify biomarkers for XFG using data from autoimmunity profiling performed on blood samples from a Scandinavian cohort of patients.
Autoantibody screening was analyzed against 258 different protein fragments in blood samples taken from 30 patients diagnosed with XFG and 30 healthy donors. The 258 protein fragments were selected based on a preliminary study performed on 3072 randomly selected antigens and antigens associated with the eye. The "limma" package was used to perform moderated t-tests on the proteomic data to identify differentially expressed reactivity between the groups.
Multiple associated genes were highlighted as possible biomarker candidates including FUT2, CDH5, and the LOX family genes. Using seven variables, our binary logistic regression model was able to classify the cases from the controls with an AUC of 0.85, and our reduced model using only one variable corresponding to the FUT2 gene provided an AUC of 0.75, based on LOOCV. Furthermore, over-representation gene analysis was performed to identify pathways that were associated with antigens differentially bound to self-antibodies. This highlighted the enrichment of pathways related to collagen fibril formation and the regulatory molecules mir-3176 and mir-876-5p.
This study suggests several potential biomarkers that may be useful in developing further models of the pathology of XFG. In particular, CDH5, FUT2, and the LOX family seem to have a relationship which merits additional exploration.
剥脱性青光眼(XFG)是一种开角型青光眼的亚型,其特征是独特的细胞外纤维和一种未知的潜在发病机制,可能涉及免疫相关因素。本探索性研究的目的是使用来自斯堪的纳维亚患者队列的血液样本进行自身免疫谱分析的数据来鉴定 XFG 的生物标志物。
对 30 名确诊为 XFG 患者和 30 名健康供体的血液样本中的 258 种不同蛋白质片段进行了自动抗体筛选分析。258 种蛋白质片段是根据对 3072 种随机选择的抗原和与眼睛相关的抗原进行的初步研究选择的。使用“limma”软件包对蛋白质组数据进行了适度 t 检验,以鉴定组间差异表达的反应性。
突出了多个相关基因作为可能的生物标志物候选基因,包括 FUT2、CDH5 和 LOX 家族基因。使用七个变量,我们的二元逻辑回归模型能够将病例与对照进行分类,AUC 为 0.85,而我们仅使用对应于 FUT2 基因的一个变量的简化模型提供了 AUC 为 0.75,基于 LOOCV。此外,进行了基因过度表达分析,以确定与自身抗体差异结合的抗原相关的途径。这突出了与胶原纤维形成和调节分子 mir-3176 和 mir-876-5p 相关的途径的富集。
本研究提出了一些潜在的生物标志物,可能有助于进一步建立 XFG 病理模型。特别是,CDH5、FUT2 和 LOX 家族似乎存在关系,值得进一步探索。