生物信息学在诊疗阿尔茨海默病的应用研究进展

The Research Progress of the Application of Bioinformatics in the Diagnosis and Treatment of Alzheimer’s Disease

阿尔茨海默病(Alzheimer’s Disease,AD)发病机制复杂,诊断方法局限,且临床上缺乏有效的治疗药物,是现代医学领域的难点。生物信息学可为筛选AD关键病理学生物标志物、分析AD差异性表达基因、筛选AD有效药物作用靶点、研究AD的发病机制,以及发现抗AD新型药物提供了新的思路。然而,在生物信息学研究中数据的预处理和统计分析方式会对结果造成较大影响,且在实际研究中跨平台和跨实验室的分析方法缺乏一致协调性,导致难以进行数据间的对比。因此,建立标准的操作程序和质量控制协议、提高跨平台之间方法的可重复性、促进研究间的数据对比至关重要。

Alzheimer’s disease(AD)is characterized by a complex pathogenesis,limited diagnos-tic methods,and a lack of effective therapeutic drugs in clinical settings,posing significant challenges in modern medical research.Bioinformatics offers new perspec-tives for identifying key pathological biomarkers of AD,analyzing differentially expressed genes in AD,screening for effective drug targets against AD,studying the mechanisms of AD pathogenesis,and discovering novel anti-AD drugs.However,data preprocessing and statistical analysis methods in bioinformatics research can signifi-cantly impact results,and there is a lack of consistency and coordination in analysis methods across platforms and laboratories in practical studies,making it difficult to compare data between studies.Therefore,it is crucial to establish standardized operating procedures and quality control protocols,improve the reproducibility of methods across platforms,and promote data comparison between studies.