Liu Changyang, Zhao Miao, Wang Xi, Wang Shuai, Wang Xiaochen
Department of Ophthalmology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116023, China.
Department of Ophthalmology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116023, China.
Cytokine. 2025 Oct;194:157007. doi: 10.1016/j.cyto.2025.157007. Epub 2025 Aug 7.
Glaucoma, especially primary open-angle glaucoma (POAG), is a leading cause of irreversible vision loss. While elevated intraocular pressure is a major risk factor, the pathogenesis of POAG also involves genetics, oxidative stress, abnormal hemodynamics, and inflammatory factors. The role of systemic inflammation in POAG remains a subject of debate. This study aimed to investigate the causal relationships between circulating inflammatory proteins and POAG using a bidirectional Mendelian randomization (MR) approach.
A bidirectional two-sample MR analysis was conducted using genome-wide association study summary statistics. The primary stage involved 91 circulating inflammatory proteins and POAG, followed by a replication stage to verify significant findings using independent data and meta-analysis. The random-effects inverse-variance weighted model was employed as the primary method, complemented by multiple sensitivity analyses employed to ensure robustness, including multivariable MR to adjust for potential confounders.
In the primary stage, 9 circulating inflammatory proteins were found to have significant causal effects on POAG. Specifically, the higher levels of Delta and Notch-like epidermal growth factor-related receptor (DNER) (OR: 1.12, 95 % CI: 1.04-1.21, P = 0.004), leukemia inhibitory factor (LIF) (OR: 1.20, 95 % CI: 1.06-1.36, P = 0.003), matrix metalloproteinase-10 (MMP-10) (OR: 1.08, 95 % CI: 1.02-1.16, P = 0.013), and stem cell factor (SCF) (OR: 1.09, 95 % CI: 1.03-1.15, P = 0.005) were positively associated with the risk of POAG. Conversely, the levels of fibroblast growth factor 19 (FGF-19) (OR: 0.88, 95 % CI: 0.82-0.95, P = 0.002), interleukin-18 (IL-18) (OR: 0.92, 95 % CI: 0.86-0.99, P = 0.019), IL-18 receptor 1 (IL-18R1) (OR: 0.96, 95 % CI: 0.92-1.00, P = 0.037), tumor necrosis factor ligand superfamily member 14 (TNFSF14) (OR: 0.91, 95 % CI: 0.86-0.97, P = 0.004), and tumor necrosis factor-related activation-induced cytokine (TRANCE) (OR: 0.94, 95 % CI: 0.88-1.00, P = 0.041) exhibited inverse associations with the risk of POAG. Multivariable MR analysis adjusting for confounders supported the roles of DNER, FGF-19, IL-18, IL18R1, LIF, and SCF. The replication stage confirmed the significant associations for FGF-19 (OR: 0.89, 95 % CI: 0.84-0.95, P = 4.63 × 10), IL-18 (OR: 0.93, 95 % CI: 0.89-0.97, P = 0.002), IL-18R1 (OR: 0.96, 95 % CI: 0.93-0.99, P = 0.023), and LIF (OR: 1.18, 95 % CI: 1.04-1.34, P = 0.013). Sensitivity analyses further supported the robustness of these findings.
This study elucidated the causal relationships between circulating inflammatory proteins and POAG, highlighting FGF-19, IL-18, IL-18R1, and LIF as potential therapeutic targets. These findings provide new insights for the prevention and management of POAG, although further studies are needed to understand the precise biological mechanisms.
青光眼,尤其是原发性开角型青光眼(POAG),是不可逆视力丧失的主要原因。虽然眼压升高是一个主要危险因素,但POAG的发病机制还涉及遗传学、氧化应激、异常血液动力学和炎症因子。全身炎症在POAG中的作用仍是一个有争议的话题。本研究旨在使用双向孟德尔随机化(MR)方法研究循环炎症蛋白与POAG之间的因果关系。
使用全基因组关联研究汇总统计数据进行双向两样本MR分析。第一阶段涉及91种循环炎症蛋白与POAG,随后进行复制阶段,使用独立数据和荟萃分析验证显著结果。采用随机效应逆方差加权模型作为主要方法,并辅以多种敏感性分析以确保稳健性,包括多变量MR以调整潜在混杂因素。
在第一阶段,发现9种循环炎症蛋白对POAG有显著因果效应。具体而言,Delta和Notch样表皮生长因子相关受体(DNER)水平较高(OR:1.12,95%CI:1.04-1.21,P=0.004)、白血病抑制因子(LIF)(OR:1.20,95%CI:1.06-1.36,P=0.003)、基质金属蛋白酶-10(MMP-10)(OR:1.08,95%CI:1.02-1.16,P=0.013)和干细胞因子(SCF)(OR:1.09,95%CI:1.03-1.15,P=0.005)与POAG风险呈正相关。相反,成纤维细胞生长因子19(FGF-19)(OR:0.88,95%CI:0.82-0.95,P=0.002)、白细胞介素-18(IL-18)(OR:0.92,95%CI:0.86-0.99,P=0.019)、IL-18受体1(IL-18R1)(OR:0.96,95%CI:0.92-1.00,P=0.037)、肿瘤坏死因子配体超家族成员14(TNFSF14)(OR:-0.91,95%CI:0.86-0.97,P=0.004)和肿瘤坏死因子相关激活诱导细胞因子(TRANCE)(OR:0.94,95%CI:0.88-1.00,P=0.041)与POAG风险呈负相关。调整混杂因素的多变量MR分析支持DNER、FGF-19、IL-18、IL18R1、LIF和SCF的作用。复制阶段证实了FGF-19(OR:0.89,95%CI:0.84-0.95,P=4.63×10)、IL-18(OR:0.93,95%CI:0.89-0.97,P=0.002)、IL-18R1(OR:0.96,95%CI:0.93-0.99,P=0.023)和LIF(OR:1.18,95%CI:1.04-1.34,P=0.013)的显著关联。敏感性分析进一步支持了这些发现的稳健性。
本研究阐明了循环炎症蛋白与POAG之间的因果关系,突出了FGF-19、IL-18、IL-18R1和LIF作为潜在治疗靶点。这些发现为POAG的预防和管理提供了新的见解,尽管需要进一步研究以了解确切的生物学机制。