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

IF 3.8 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Damien Gruson, Elie Fux, Tuğba Kemaloğlu Öz, Bernard Gouget, Woochang Lee, Swarup Shah, Yan Liu, Sven Ebert, Ronda Greaves, Sergio Bernardini, He Sarina Yang, Luis Figueroa Montes
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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.

实验室医学和新兴技术通过暴露组分析降低心血管风险的贡献:国际癌症研究联合会新兴技术分会的意见。
这篇观点文章强调了实验室医学和新兴技术在通过暴露组分析降低心血管风险方面的关键作用。暴露组包括一个人一生中面临的所有外部和内部暴露,这些暴露会影响心血管疾病(CVD)的发生和发展。将暴露组数据与遗传信息相结合,可以全面了解心血管疾病的多因素成因,便于采取有针对性的预防干预措施。在代谢组学和人工智能(AI)等先进技术的推动下,实验室医学在识别和减轻这些暴露方面发挥着举足轻重的作用。代谢组学能详细揭示环境因素引发的代谢变化,而人工智能则能高效处理复杂的数据集,从而发现规律和关联。这种整合促进了公共卫生和个性化医疗中的前瞻性方法,使早期检测和干预成为可能。文章呼吁在全球范围内实施暴露组技术,以改善人口健康,强调需要强大的技术平台和政策驱动的举措,将环境数据与临床诊断无缝整合。通过利用这些创新技术,实验室医学可以通过精确和个性化的风险缓解策略,为减轻心血管疾病的全球负担做出重大贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinical chemistry and laboratory medicine
Clinical chemistry and laboratory medicine 医学-医学实验技术
CiteScore
11.30
自引率
16.20%
发文量
306
审稿时长
3 months
期刊介绍: Clinical Chemistry and Laboratory Medicine (CCLM) publishes articles on novel teaching and training methods applicable to laboratory medicine. CCLM welcomes contributions on the progress in fundamental and applied research and cutting-edge clinical laboratory medicine. It is one of the leading journals in the field, with an impact factor over 3. CCLM is issued monthly, and it is published in print and electronically. CCLM is the official journal of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) and publishes regularly EFLM recommendations and news. CCLM is the official journal of the National Societies from Austria (ÖGLMKC); Belgium (RBSLM); Germany (DGKL); Hungary (MLDT); Ireland (ACBI); Italy (SIBioC); Portugal (SPML); and Slovenia (SZKK); and it is affiliated to AACB (Australia) and SFBC (France). Topics: - clinical biochemistry - clinical genomics and molecular biology - clinical haematology and coagulation - clinical immunology and autoimmunity - clinical microbiology - drug monitoring and analysis - evaluation of diagnostic biomarkers - disease-oriented topics (cardiovascular disease, cancer diagnostics, diabetes) - new reagents, instrumentation and technologies - new methodologies - reference materials and methods - reference values and decision limits - quality and safety in laboratory medicine - translational laboratory medicine - clinical metrology Follow @cclm_degruyter on Twitter!
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