Suppr超能文献

质谱技术在生物标志物发现、诊断创新和个性化医学中的应用和进展。

Mass Spectrometry Advancements and Applications for Biomarker Discovery, Diagnostic Innovations, and Personalized Medicine.

机构信息

Department of Molecular Medicine, Scripps Research, San Diego, CA 92037, USA.

Department of Bio-AI Convergence, Chungnam National University, Daejeon 34134, Republic of Korea.

出版信息

Int J Mol Sci. 2024 Sep 12;25(18):9880. doi: 10.3390/ijms25189880.

Abstract

Mass spectrometry (MS) has revolutionized clinical chemistry, offering unparalleled capabilities for biomolecule analysis. This review explores the growing significance of mass spectrometry (MS), particularly when coupled with liquid chromatography (LC), in identifying disease biomarkers and quantifying biomolecules for diagnostic and prognostic purposes. The unique advantages of MS in accurately identifying and quantifying diverse molecules have positioned it as a cornerstone in personalized-medicine advancement. MS-based technologies have transformed precision medicine, enabling a comprehensive understanding of disease mechanisms and patient-specific treatment responses. LC-MS has shown exceptional utility in analyzing complex biological matrices, while high-resolution MS has expanded analytical capabilities, allowing the detection of low-abundance molecules and the elucidation of complex biological pathways. The integration of MS with other techniques, such as ion mobility spectrometry, has opened new avenues for biomarker discovery and validation. As we progress toward precision medicine, MS-based technologies will be crucial in addressing the challenges of individualized patient care, driving innovations in disease diagnosis, prognosis, and treatment strategies.

摘要

质谱(MS)技术已经彻底改变了临床化学,为生物分子分析提供了无与伦比的能力。本综述探讨了质谱(MS)技术的重要性不断增加,特别是当与液相色谱(LC)结合使用时,用于鉴定疾病生物标志物和定量生物分子以进行诊断和预后目的。MS 技术在准确识别和定量多种分子方面具有独特的优势,使其成为个性化医疗发展的基石。基于 MS 的技术已经改变了精准医学,使我们能够全面了解疾病机制和患者特异性的治疗反应。LC-MS 已在分析复杂的生物基质方面显示出优异的实用性,而高分辨率 MS 则扩展了分析能力,允许检测低丰度分子并阐明复杂的生物途径。MS 与其他技术(如离子淌度谱)的结合为生物标志物的发现和验证开辟了新途径。随着我们迈向精准医学,基于 MS 的技术将在解决个体化患者护理的挑战方面发挥关键作用,推动疾病诊断、预后和治疗策略的创新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d606/11432749/53c87f779470/ijms-25-09880-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验