Zhang YiKui, Xu BoYue, Huang ShiWei, Shi ZhaoHui, Xiong Wei, Wang Ruijun, Liu GuiQin, Chen Linlin, Ge ZhenHua, Zhang YongJie, Liu HongLei, Jia BaoYun, Wang ChunXia, Shi HaiHong, Kang Jun, An NingYu, Huang ShuRui, Chen DeFu, Huang ShengHai, Luo YuTing, Liu MingYue, Wang ZhuoWei, Yu ZhongHao, Zheng Jingwei, Yan Wentao, Li Gen, Chen Hao, Deng XingGuang, Wei ShiHui, Tu YunHai, Wu EnDe, Zhang Kang, Wu WenCan
State Key Laboratory of Ophthalmology, Optometry and Vision Science, Eye Hospital, National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Department of Ophthalmology, the Second Hospital of Jilin University, Changchun, China.
JCI Insight. 2025 Jun 17;10(14). doi: 10.1172/jci.insight.190682. eCollection 2025 Jul 22.
BACKGROUNDTraumatic optic neuropathy (TON) is a leading cause of blindness following closed traumatic brain injury, with no effective treatments available. Previous interventional clinical trials were complicated by its low prevalence, variability in neurodegenerative severity, and unavailability of reliable biomarkers.METHODSWe analyzed data from 1,226 patients enrolled in the prospective National Multi-Center Collaborative Clinical Research Program of China (2017-2024) to establish a clinical profile and identify noninvasive biomarkers for neurodegenerative severity. Subgroup analysis of patients with monocular TON revealed potential biomarkers, including visual functional parameters, inner retinal thickness, and time postinjury.RESULTSThe ganglion cell complex (GCC) thickness showed a strong correlation with retinal ganglion cell somata (R² = 0.87, P < 0.0001) and axon density (R² = 0.89, P < 0.0001) in a clinically relevant large animal model. Computational analysis demonstrated that using GCC thickness as a biomarker could substantially enhance the statistical power of clinical trials (by up to 4.5-fold), as verified by real-world data.CONCLUSIONThis study presents the largest epidemiological analysis of TON to date and establishes GCC thickness as a crucial biomarker for stratifying disease severity and improving the efficiency of clinical trials.TRIAL REGISTRATIONChinese Clinical Trial Registry (ChiCTR-OOC-17013437).FUNDINGNational Key R&D Program of China (Grant No. 2022YFA1105500), Key Science and Technology Program of Wenzhou (Grant No. ZY2022021), National Natural Science Foundation of China (Grant No. 82471080).
背景
创伤性视神经病变(TON)是闭合性颅脑损伤后导致失明的主要原因,目前尚无有效的治疗方法。以往的介入性临床试验因TON患病率低、神经退行性变严重程度存在差异以及缺乏可靠的生物标志物而变得复杂。
方法
我们分析了参与中国前瞻性国家多中心协作临床研究项目(2017 - 2024)的1226例患者的数据,以建立临床概况并确定神经退行性变严重程度的非侵入性生物标志物。对单眼TON患者的亚组分析揭示了潜在的生物标志物,包括视觉功能参数、视网膜内层厚度和受伤时间。
结果
在一个具有临床相关性的大型动物模型中,神经节细胞复合体(GCC)厚度与视网膜神经节细胞胞体(R² = 0.87,P < 0.0001)和轴突密度(R² = 0.89,P < 0.0001)显示出强烈的相关性。计算分析表明,使用GCC厚度作为生物标志物可大幅提高临床试验的统计效力(提高达4.5倍),真实世界数据验证了这一点。
结论
本研究提供了迄今为止最大规模的TON流行病学分析,并将GCC厚度确立为用于分层疾病严重程度和提高临床试验效率的关键生物标志物。
试验注册
中国临床试验注册中心(ChiCTR - OOC - 17013437)。
资助
国家重点研发计划(项目编号:2022YFA1105500)、温州市重点科技计划(项目编号:ZY2022021)、国家自然科学基金(项目编号:82471080)。