Krut'ko Vyacheslav N, Dontsov Vitaly I, Ermakova Nina A, Makarova Valentina V, Mitrokhin Oleg V, Shashina Ekaterina A, Shcherbakov Denis V
Institute for Systems Analysis Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia.
Sechenov First Moscow State Medical University, Moscow, Russia.
Front Genet. 2021 Mar 5;12:634734. doi: 10.3389/fgene.2021.634734. eCollection 2021.
A concept, method, algorithm, and computer system (CS) of step-by-step dialog optimization of biomarker (BM) panels for assessing human biological age (BA) according to a number of universal criteria based on incomplete and noisy data have been developed. This system provides the ability to automatically build BM panels for BA assessment and to increase the accuracy of BA determination while reducing the number of measured BMs. The optimization criteria are as follows: high correlation of BMs with chronological age (CA); minimum size of BM panels, obtained by rejecting highly cross-correlated BMs; high accuracy of BA assessment; high accuracy of BA/CA dependency interpolation; absence of outliers in BM values, which reduce the BA assessment accuracy; rejection of panels resulting in a high standard deviation for the BA-CA difference; and possible additional criteria entered by the researcher according to the task specifics. The CS input consists of data on physiological, biochemical, and other BMs that change with age. The CS output is a panel of BMs optimized according to the specified optimization criteria. The CS is user-friendly. It allows the user to add optimization criteria that the researcher considers to be important or to remove criteria that the user considers incorrect. The CS may be used in solving practical problems of anti-aging medicine, such as the treatment and prevention of age-related chronic non-infectious diseases representing the main causes of death. The authors' point of view on the role and place of BA diagnostics in this area is discussed.
已经开发出一种概念、方法、算法和计算机系统(CS),用于根据一些通用标准,在不完整和有噪声的数据基础上,对用于评估人类生物学年龄(BA)的生物标志物(BM)面板进行逐步对话优化。该系统能够自动构建用于BA评估的BM面板,并在减少测量的BM数量的同时提高BA测定的准确性。优化标准如下:BM与实足年龄(CA)的高相关性;通过剔除高度交叉相关的BM获得的BM面板的最小尺寸;BA评估的高精度;BA/CA依赖性插值的高精度;BM值中不存在降低BA评估准确性的异常值;剔除导致BA-CA差异标准差高的面板;以及研究人员根据任务具体情况输入的可能的附加标准。CS的输入包括随年龄变化的生理、生化和其他BM的数据。CS的输出是根据指定的优化标准优化的BM面板。该CS用户友好。它允许用户添加研究人员认为重要的优化标准,或删除用户认为不正确的标准。该CS可用于解决抗衰老医学的实际问题,如治疗和预防代表主要死因的与年龄相关的慢性非传染性疾病。文中讨论了作者对BA诊断在该领域的作用和地位的观点。