■青光眼是导致永久性失明的主要原因。原发性闭角型青光眼(PACG)仅在症状发作后才被诊断,尽管有标准的眼内压(IOP)降低治疗,但仍可导致不可逆的失明。识别与预后相关的潜在生物标志物将有助于改善疾病管理。这项研究旨在确定与疾病进展相关的机制,潜在的生物标志物,以及PACG的治疗靶点。
■眼压的临床数据评估,杯/盘比率(CDR),对照视网膜神经纤维层(RNFL)厚度,收集和分析PACG组的差异有统计学意义。估计了ATP水平,并对房水和血浆细胞因子进行了靶向代谢组学分析。将从代谢组学数据集获得的途径与从文献数据集获得的途径进行比较。临床参数与细胞因子水平相关。对TNFα处理的N9小胶质细胞的细胞培养上清液进行了靶向代谢组学分析,对PACG患者的数据进行重叠分析.
■提升IOP,CDR,ATP,细胞因子,与对照相比,在PACG中发现减少的RNFL厚度。PACG和TNFα处理的N9小胶质细胞培养上清液的分析显示免疫代谢物的活化。PACG的代谢途径,TNFα,和来自文献的ATP处理的小胶质细胞显示出相当大的重叠。生物标志物分析确定了临床参数,ATP,细胞因子,和免疫代谢物。
■这项研究表明,ATP水平升高,细胞因子,免疫代谢,以及伴随疾病进展的潜在小胶质细胞炎症,呈现这些水平的潜在生物标志物。P2受体,细胞因子,IDO1/2可能是潜在的治疗靶点。
UNASSIGNED: Glaucoma is the leading cause of permanent blindness. Primary angle closure glaucoma (
PACG) is diagnosed only after the onset of symptoms and can result in irreversible blindness despite the standard intraocular pressure (IOP) reduction therapy. The identification of potential biomarkers associated with prognosis will help improve disease management. This study aimed to identify mechanisms associated with disease progression, potential biomarkers, and therapeutic targets of
PACG.
UNASSIGNED: The clinical data assessment of IOP, cup/disc ratio (CDR), Retinal Nerve Fiber Layer (RNFL) thickness of control, and
PACG group were collected and analyzed for significant differences. The ATP levels were estimated, and targeted metabolomic analysis was performed on aqueous humor and cytokines in plasma. The pathways obtained from the metabolomics data set were compared with those obtained for data sets from the literature. Clinical parameters were correlated with cytokine levels. Targeted metabolomic analysis of cell culture supernatant from TNFα-treated N9 microglia was carried out, and overlap analysis was performed with data obtained from PACG patients.
UNASSIGNED: Elevated IOP, CDR, ATP, cytokines, and reduced RNFL thickness were found in
PACG compared to controls. Analysis of PACG and TNFα-treated N9 microglial cell culture supernatant shows activation of immuno-metabolites. The metabolic pathways of
PACG, TNFα, and ATP-treated microglia from the literature show considerable overlap. Biomarker analysis identified clinical parameters, ATP, cytokines, and immuno-metabolites.
UNASSIGNED: This study shows an association between elevated levels of ATP, cytokines, immuno-metabolism, and potential microglial inflammation with disease progression, rendering these levels potential biomarkers. P2 receptors, cytokines, and IDO1/2 could be potential therapeutic targets.