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中国医药导刊 ›› 2025, Vol. 27 ›› Issue (2): 142-145.

• 研究进展 • 上一篇    下一篇

基于血液的多指标体系在疾病诊断等领域的应用前景

黄伟达, 王宗海*   

  1. 中国科学院上海高等研究院,上海 201210
  • 收稿日期:2025-04-23 修回日期:2025-04-23 出版日期:2025-02-28 发布日期:2025-02-28

The Application Prospects of Blood-based Multi-biomarker System in Disease Diagnosis and Other Fields

  1. Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201210, China
  • Received:2025-04-23 Revised:2025-04-23 Online:2025-02-28 Published:2025-02-28

摘要:

生物网络是高度复杂的网络,基因网络是生物网络的核心要素。生物网络中的每个基因活动都会受到其他邻近基因的正反双向影响。多指标体系是研究和表征生物网络的合适手段,核心工作是快捷获得数以百计生物标志物的测定值,再通过各种算法来评估生物网络的状况,挖掘出与临床症状高度关联的标志物,建立疾病与生物标志物之间的量化关系。多指标体系对生物标志物有若干要求,包括要有足够多的候选数,以抽血检测为优选,可用同一种方法完成所有测定(即高度同质化)等。采用“生物标志物测定”和“算法建立”的组合策略,除了可用于疾病的精准诊断,还能助力新药研发过程的药效评估、治疗过程的疗效评估、中药材的质量控制、保健品功效评估等领域。按照生物信息流可将生物分子分类成4代,比较它们作为生物标志物的优缺点可知,微小RNAmiRNAs)可能是最适合用于表征生物网络的生物标志物候选。本研究尝试从生物网络的特点出发进行探索,旨在为疾病诊断、新药研发等领域的研发工作提供新思路。

  

关键词: 多指标体系, 生物网络, 基因网络, 疾病诊断, miRNA, 生物标志物测定, 算法建立

Abstract:

Biological networks are highly complex networksand gene networks are the core elements of biological networks. Each gene activity in a biological network is influenced in both directions by neighboring genes. Multi-biomarker system could be a suitable means of studying and characterizing biological networks. Its core task is to quickly and cost-efficiently obtain measurement values of hundreds of biomarkers and then evaluate the status of bio-networks through various algorithms mining biomarkers highly correlated with clinical symptoms and establishing quantitative relationships between diseases and biomarkers. The multi-biomarker system has several requirements for biomarkers including having a sufficient number of candidates preferring blood samples for measuring and obtaining all the measurements in a single operation procedure i.e. highly homogeneous. The strategy of combination of "biomarker measurement" and "algorithm exploration" can not only be used for precise diagnosis of diseases but also be applied to the efficacy evaluation of new drug development treatment efficacy evaluation quality control of traditional Chinese medicine and efficacy evaluation of food supplements and etc. According to the biological information flow biomolecules can be classified into 4 generations. Comparing their advantages and disadvantages as biomarkers microRNAs miRNAs may be the most suitable candidate biomarkers for characterizing biological networks. This study attempts to provide new ideas for research and development in fields such as disease diagnosis and new drug development basing on the characteristics of biological networks.


Key words: Multi-biomarker system , Biological networks , Gene networks , Disease diagnosis , MicroRNA , Biomarker measurement , Algorithm exploration

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