光受体代谢窗口揭示了眼睛与身体之间的相互作用
Shaopeng Yang1, Zhuoyao Xin2,3,4, Weijing Cheng1
1State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Study Center for Ocular Diseases, Guangzhou, China.
Nature communications
|January 15, 2025
概括
光受体评估为系统健康提供了一个无风险的窗口,揭示了与疾病的共同代谢联系. 更薄的光受体预测死亡率和多系统疾病,可通过人工智能工具进行操作.
科学领域:
- 眼科医生 眼科 眼科
- 代谢学 代谢学 代谢学
- 人工智能的人工智能
背景情况:
- 光受体是对代谢压力敏感的关键视网膜神经元.
- 在体内评估光受体为评估全身健康提供了一种独特的,无风险的方法.
- 光受体退化与更广泛的健康问题有关.
研究的目的:
- 建立体内光受体评估作为系统健康的非侵入性指标.
- 确定将光受体健康与多系统疾病联系起来的代谢基础.
- 开发一种人工智能驱动的工具,基于光受体代谢数据来预测健康结果.
主要方法:
- 与健康结果相关的光受体层厚度的分析.
- 循环代谢物质的系统分析,以确定与光受体相关的代谢物.
- 开发和验证人工智能 (AI) 驱动的框架,用于预测多系统健康结果.
主要成果:
- 显著减少光受体层厚度与未来的死亡率增加和13种多系统疾病有关.
- 确定了109种与光受体相关的代谢物,影响健康风险.
- 人工智能框架准确预测了16种多系统健康结果,证明了可解释性.
结论:
- 光受体评估是系统健康的有价值,无风险的指标.
- 共同的代谢途径将眼睛健康与更广泛的系统性疾病联系起来.
- 由人工智能驱动的光受体代谢窗口框架为预测健康分析和理解眼睛与身体的联系提供了一种新的方法.
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