摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-生物技术的新研究-生物信息学是一篇报道的主题。根据NewsRx记者从中华人民共和国北京发来的消息，研究称，“为了比较THAT导致增生性糖尿病视网膜病变(PDR)的病理生理机制和分子事件的复杂性，并评估房水(AH)在监测PDR发病中的诊断价值。一个包含16名PDR和10名白内障患者的队列和另一个包含8名PDR和4名白内障患者的验证队列进行了研究。”我们的新闻记者引用了北京协和医科大学附属医院的一篇研究文章：“收集AH并进行蛋白质组学分析，利用生物信息学分析和基于机器学习的最小偏倚双分子组合推理系统，对AH蛋白质组的功能表达、HUB蛋白和生物标志物进行了深入的研究，揭示了AH蛋白质组的各种见解。首先，结合SIAE、SEMA7A、GNS、SIAE、其次,ALB、FN1、ACTB、SERPINA1、C3、VTN是AH蛋白组的中枢蛋白,SERPINA1不仅与BCVA相关,而且与糖尿病病程相关系数最高。“补体和凝血级联反应”是PDR发展的重要途径。AH蛋白质组学为PDR的早期预警和诊断提供了稳定和Accu速率的生物标志物。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “To comp rehend the complexities of pathophysiological mechanisms and molecular events th at contribute to proliferative diabetic retinopathy (PDR) and evaluate the diagn ostic value of aqueous humor (AH) in monitoring the onset of PDR. A cohort conta ining 16 PDR and 10 cataract patients and another validation cohort containing 8 PDR and 4 cataract patients were studied.” Our news journalists obtained a quote from the research from Peking Union Medica l College Hospital, “AH was collected and subjected to proteomics analyses. Bioi nformatics analysis and a machine learningbased pipeline called inference of bi omolecular combinations with minimal bias were used to explore the functional re levance, hub proteins, and biomarkers. Deep profiling of AH proteomes revealed s everal insights. First, the combination of SIAE, SEMA7A, GNS, and IGKV3D-15 and the combination of ATP6AP1, SPARCL1, and SERPINA7 could serve as surrogate prote in biomarkers for monitoring PDR progression. Second, ALB, FN1, ACTB, SERPINA1, C3, and VTN acted as hub proteins in the profiling of AH proteomes. SERPINA1 was the protein with the highest correlation coefficient not only for BCVA but also for the duration of diabetes. Third, ‘Complement and coagulation cascades’ was an important pathway for PDR development. AH proteomics provides stable and accu rate biomarkers for early warning and diagnosis of PDR.”
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