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检验医学与新兴技术通过暴露组分析对降低心血管风险的贡献:国际临床化学与检验医学联合会新兴技术分会的观点

Contribution of laboratory medicine and emerging technologies to cardiovascular risk reduction via exposome analysis: an opinion of the IFCC Division on Emerging Technologies.

作者信息

Gruson Damien, Fux Elie, Kemaloğlu Öz Tuğba, Gouget Bernard, Lee Woochang, Shah Swarup, Liu Yan, Ebert Sven, Greaves Ronda, Bernardini Sergio, Yang He Sarina, Figueroa Montes Luis

机构信息

Department of Laboratory Medicine, Cliniques Universitaires St-Lux, Brussels, Belgium.

Université Catholique de Louvain, Brussels, Belgium.

出版信息

Clin Chem Lab Med. 2024 Sep 2;63(3):521-524. doi: 10.1515/cclm-2024-0788. Print 2025 Feb 25.

Abstract

This opinion article highlights the critical role of laboratory medicine and emerging technologies in cardiovascular risk reduction through exposome analysis. The exposome encompasses all external and internal exposures an individual faces throughout their life, influencing the onset and progression of cardiovascular diseases (CVD). Integrating exposome data with genetic information allows for a comprehensive understanding of the multifactorial causes of CVD, facilitating targeted preventive interventions. Laboratory medicine, enhanced by advanced technologies such as metabolomics and artificial intelligence (AI), plays a pivotal role in identifying and mitigating these exposures. Metabolomics provides detailed insights into metabolic changes triggered by environmental factors, while AI efficiently processes complex datasets to uncover patterns and associations. This integration fosters a proactive approach in public health and personalized medicine, enabling earlier detection and intervention. The article calls for global implementation of exposome technologies to improve population health, emphasizing the need for robust technological platforms and policy-driven initiatives to seamlessly integrate environmental data with clinical diagnostics. By harnessing these innovative technologies, laboratory medicine can significantly contribute to reducing the global burden of cardiovascular diseases through precise and personalized risk mitigation strategies.

摘要

这篇观点文章强调了检验医学以及新兴技术在通过暴露组分析降低心血管疾病风险方面的关键作用。暴露组涵盖了个体一生中面临的所有外部和内部暴露因素,这些因素会影响心血管疾病(CVD)的发生和发展。将暴露组数据与遗传信息相结合,能够全面了解心血管疾病的多因素成因,从而有助于开展有针对性的预防干预措施。借助代谢组学和人工智能(AI)等先进技术得到强化的检验医学,在识别和减轻这些暴露因素方面发挥着关键作用。代谢组学能够深入洞察环境因素引发的代谢变化,而人工智能则能高效处理复杂数据集,以发现其中的模式和关联。这种整合在公共卫生和个性化医疗中催生出一种积极主动的方法,实现更早的检测和干预。文章呼吁在全球范围内应用暴露组技术以改善人群健康状况,强调需要强大的技术平台和政策驱动的举措,以便将环境数据与临床诊断无缝整合。通过利用这些创新技术,检验医学能够通过精准且个性化的风险缓解策略,为减轻全球心血管疾病负担做出重大贡献。

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