School of Public Health, Medical College of Soochow University, Suzhou, China.
Department of Ophthalmology, The Affiliated Hospital of Yunnan University, Kunming, China.
Invest Ophthalmol Vis Sci. 2021 May 3;62(6):9. doi: 10.1167/iovs.62.6.9.
Glaucoma remains a poorly understood disease, and identifying biomarkers for early diagnosis is critical to reducing the risk of glaucoma-related visual impairment and blindness. The aim of this review is to provide current metabolic profiles for glaucoma through a summary and analysis of reported metabolites associated with glaucoma.
We searched PubMed and Web of Science for metabolomics studies of humans on glaucoma published before November 11, 2020. Studies were included if they assessed the biomarkers of any types of glaucoma and performed mass spectrometry-based or nuclear magnetic resonance-based metabolomics approach. Pathway enrichment analysis and topology analysis were performed to generate a global view of metabolic signatures related to glaucoma using the MetaboAnalyst 3.0.
In total, 18 articles were included in this review, among which 13 studies were focused on open-angle glaucoma (OAG). Seventeen metabolites related to OAG were repeatedly identified, including seven amino acids (arginine, glycine, alanine, lysine, methionine, phenylalanine, tyrosine), two phosphatidylcholine (PC aa C34:2, PC aa C36:4), three complements (acetylcarnitine, propionylcarnitine, butyrylcarnitine), carnitine, glutamine, hypoxanthine, spermine, and spermidine. The pathway analysis implied a major role of amino metabolism in OAG pathophysiology and revealed the metabolic characteristics between different biological samples.
In this review, we summarize existing metabolomic studies related to glaucoma biomarker identification and point out a series of metabolic disorders in OAG patients, providing information on the molecular mechanism changes in glaucoma. Additional studies are needed to validate existing findings, and future research will need to explore the potential overlap between different biological fluids.
青光眼仍是一种尚未被充分了解的疾病,寻找早期诊断的生物标志物对于降低青光眼相关视力损害和失明的风险至关重要。本综述旨在通过总结和分析与青光眼相关的报告代谢物,提供当前青光眼的代谢特征。
我们在 PubMed 和 Web of Science 上搜索了截至 2020 年 11 月 11 日发表的关于人类青光眼代谢组学的研究。如果研究评估了任何类型青光眼的生物标志物,并进行了基于质谱或基于核磁共振的代谢组学方法,则纳入研究。使用 MetaboAnalyst 3.0 进行通路富集分析和拓扑分析,以生成与青光眼相关的代谢特征的全局视图。
本综述共纳入 18 篇文章,其中 13 篇专注于开角型青光眼(OAG)。共反复鉴定出 17 种与 OAG 相关的代谢物,包括 7 种氨基酸(精氨酸、甘氨酸、丙氨酸、赖氨酸、蛋氨酸、苯丙氨酸、酪氨酸)、2 种磷脂酰胆碱(PC aa C34:2、PC aa C36:4)、3 种补体(乙酰肉碱、丙酰肉碱、丁酰肉碱)、肉碱、谷氨酰胺、次黄嘌呤、精胺、精脒。通路分析表明,氨基酸代谢在 OAG 病理生理学中起着重要作用,并揭示了不同生物样本之间的代谢特征。
本综述总结了与青光眼生物标志物鉴定相关的现有代谢组学研究,并指出了 OAG 患者存在一系列代谢紊乱,为青光眼的分子机制变化提供了信息。需要进一步的研究来验证现有发现,未来的研究还需要探索不同生物流体之间的潜在重叠。