Fei Carrie, Dong Michael R, Byars Sean, Shah Jaynish S, Hall Anthony J, Lim Lyndell L
Central Clinical School, Monash University Faculty of Medicine Nursing and Health Sciences, Clayton, Victoria, Australia.
Department of Ophthalmology, Alfred Health, Melbourne, Victoria, Australia.
Invest Ophthalmol Vis Sci. 2025 May 1;66(5):4. doi: 10.1167/iovs.66.5.4.
Secondary causes of cataract contribute to significant morbidity, but their pathogeneses are not well understood. This RNA sequencing study aimed to be the first to quantify and compare the transcriptome of the uveitic, steroid-induced, and post-vitrectomy cataract, using age-related cataracts (ARCs) as the study control.
Between March and July 2023 in Melbourne (VIC, Australia), human anterior lens capsules were prospectively collected during surgery from ARCs (n = 36), as well as steroid-induced (n = 23), uveitic (n = 25), and post-vitrectomy (n = 13) cataracts, and they were stabilized in RNAlater reagent. The Australian Genome Research Facility performed RNA isolation with RNeasy Mini and library preparation and sequencing using the Illumina workflow. Quality control was performed with the Agilent 2200 TapeStation. Bioinformatic analysis of RNA sequencing data identified differentially expressed genes (DEGs), defined as those with a log fold change ≥ 1 and false discovery rate (FDR) < 0.05.
Differential gene expression analysis demonstrated significant differences between the transcriptome of age-related versus uveitic cataract (345 DEGs), steroid-induced versus uveitic cataract (117 DEGs), and age-related versus post-vitrectomy cataract (30 DEGs in the subgroup without removal of silicone oil [ROSO] and 1347 DEGs in the subgroup with ROSO). No DEGs were identified between age-related and steroid-induced cataracts.
To our knowledge, this is the first large-scale gene expression study focusing on these secondary cataracts. This dataset will assist in forming a broader knowledge base of secondary cataract pathogenesis and inform future research in this area, particularly in the selection of specific genes and investigating their impact on cataract development through animal model studies.
白内障的继发原因会导致严重的发病率,但对其发病机制了解不足。这项RNA测序研究旨在首次对葡萄膜炎性、类固醇性和玻璃体切除术后白内障的转录组进行定量和比较,并将年龄相关性白内障(ARC)作为研究对照。
2023年3月至7月在墨尔本(澳大利亚维多利亚州),在手术过程中前瞻性收集了ARC(n = 36)、类固醇性(n = 23)、葡萄膜炎性(n = 25)和玻璃体切除术后(n = 13)白内障的人晶状体前囊,并将其保存在RNAlater试剂中。澳大利亚基因组研究机构使用RNeasy Mini进行RNA分离,并使用Illumina工作流程进行文库制备和测序。使用安捷伦2200 TapeStation进行质量控制。对RNA测序数据进行生物信息学分析,确定差异表达基因(DEG),定义为对数倍变化≥1且错误发现率(FDR)<0.05的基因。
差异基因表达分析表明,年龄相关性白内障与葡萄膜炎性白内障的转录组之间(345个DEG)、类固醇性白内障与葡萄膜炎性白内障的转录组之间(117个DEG)以及年龄相关性白内障与玻璃体切除术后白内障的转录组之间(未去除硅油[ROSO]的亚组中有30个DEG,有ROSO的亚组中有1347个DEG)存在显著差异。在年龄相关性白内障和类固醇性白内障之间未发现DEG。
据我们所知,这是第一项聚焦于这些继发性白内障的大规模基因表达研究。该数据集将有助于形成更广泛的继发性白内障发病机制知识库,并为该领域的未来研究提供信息,特别是在选择特定基因以及通过动物模型研究调查它们对白内障发展的影响方面。