摘 要：
随着社会老龄化进程的加速，老年人患慢性病的比例逐年上升，对慢性病进行精准护理与干预的需求愈发迫切。本研究基于精准护理视角，运用代谢组学方法对老年慢性病开展靶点鉴定工作。我们采用现代生物信息学方法与大数据分析手段，对多种常见老年慢性病（如糖尿病、高血压、心脏病）患者的生物样本进行代谢组学分析和靶点鉴定。结果显示，这些慢性病存在多个共性代谢变化，并找到了多个潜在的生物标志物和治疗靶点。进一步分析表明，这些标志物和治疗靶点均受到具有系统性影响的代谢环路的调节。这为老年慢性病的精准护理干预提供了有力工具，有助于更精准地明确疾病的发病机制并探寻干预方法。通过个体化的代谢组学分析，我们能够为每位患者精准制定个体化的护理干预策略。这不仅提升了靶向治疗和个体化治疗的可能性，还显著提高了患者的生活质量和自我管理能力。本研究结果有助于推动老年慢性病精准护理领域的发展，也为相关领域的研究者提供了新的研究思路和方法。
关键词：代谢组学；老年慢性病；精准护理；靶点识别；个体化干预
Abstract:
With the acceleration of social aging, the proportion of elderly people suffering from chronic diseases is increasing year by year, leading to an urgent demand for precision care and interventions for chronic diseases. This study focuses on the perspective of precision care and employs metabolomics methods to carry out target identification for chronic diseases in the elderly. We utilized modern bioinformatics methods and big data analysis techniques to conduct metabolomics analysis and target identification on biological samples from patients with various common chronic diseases in the elderly, such as diabetes, hypertension, and heart disease. The results indicate that these chronic diseases exhibit multiple common metabolic changes, and several potential biomarkers and therapeutic targets have been identified. Further analysis shows that these biomarkers and therapeutic targets are regulated by metabolic circuits that have systemic effects. This provides a powerful tool for precision care interventions in elderly chronic diseases, helping to clarify the pathogenesis of these diseases more accurately and explore intervention methods. Through individualized metabolomics analysis, we can develop precise individualized care intervention strategies for each patient. This not only enhances the possibility of targeted and personalized treatment but also significantly improves the patient's quality of life and self-management abilities. The results of this study contribute to the advancement of precision care in elderly chronic diseases and offer new research ideas and methods for researchers in related fields.
Keywords: Metabolomics; Elderly Chronic Diseases; Precision Care; Target Identification; Individualized Intervention
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