Work

Large-scale survey, animal models, and computational modeling identify histological neurodegenerative biomarkers for traumatic optic neuropathy

Year: 2025
Type: article
Study design: Observational Study
Abstract: 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).
Source: JCI Insight
Language: English
Subfield: Ophthalmology
Field: Medicine
Open Access status: gold
Estimated APC paid: $4,100
OpenAlex ID: W4411363367
FWCI:
Cites: 50
Cited by:
Related to: 10