基于膜的诊断和新兴组织工程方法在个性化干眼病管理中
Vineet Joshi1,2, Sonali Mohapatra1,3, Mahi Al Ahmad Dar1
1Centre for Ocular Regeneration, Brien Holden Eye Research Centre, Champalimaud Translational Centre for Eye Research, LV Prasad Eye Institute, Hyderabad, India.
Seminars in ophthalmology
|August 28, 2025
概括
对于干眼病的诊断工具有希望,但目前的选择有局限性. 像多重生物标记面板和生物传感器这样的新兴技术为更精确,更个性化的DED诊断提供了潜力.
科学领域:
- 眼科 眼科
- 生物医学诊断
- 在护理地点进行检测
背景情况:
- 干眼病 (DED) 呈现出刺激和视力障碍等症状,严重影响生活质量.
- 精确诊断DED对于有效的管理和治疗策略至关重要.
研究的目的:
- 对目前的DED诊断套件进行批判性评估.
- 探索新兴技术以提高DED的精度和个性化管理.
主要方法:
- 使用PubMed,Scopus和谷歌学者进行了全面的文献调查 (2010-2025年).
- 确定的研究重点是DED病理生理学,眼膜生物标志物和商业可用的诊断系统,包括度和生物标志物测试.
主要成果:
- 基于度的套件提供了快速的DED洞察力,但面临环境变化和成本等局限性.
- 基于生物标志物的套件 (例如MMP-9,乳) 通过向眼部炎症和功能障碍来提高特异性.
- 像多重免疫测试和纳米生物传感器这样的新兴技术有望进行多分析检测和精确的疾病分层.
结论:
- 目前的DED诊断套件有助于早期检测,但受到单一参数,可重复性和成本的限制.
- 结合多重生物标记面板,生物传感器和器官芯片模型为精确的DED诊断提供了一个有前途的途径.
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