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

被引:4
作者
Son, Ahrum [1 ]
Kim, Woojin [2 ]
Park, Jongham [2 ]
Park, Yongho [2 ]
Lee, Wonseok [2 ]
Lee, Sangwoon [2 ]
Kim, Hyunsoo [2 ,3 ,4 ,5 ]
机构
[1] Scripps Res, Dept Mol Med, San Diego, CA 92037 USA
[2] Chungnam Natl Univ, Dept BioAI Convergence, Daejeon 34134, South Korea
[3] Chungnam Natl Univ, Dept Convergent Biosci & Informat, 99 Daehak Ro, Daejeon 34134, South Korea
[4] Chungnam Natl Univ, Prot AI Design Inst, 99 Daehak Ro, Daejeon 34134, South Korea
[5] SCICS, 99 Daehak Ro, Daejeon 34134, South Korea
基金
新加坡国家研究基金会;
关键词
liquid chromatography-mass spectrometry; clinical chemistry; biomarker discovery; personalized medicine; LIQUID-CHROMATOGRAPHY; ION MOBILITY; PROTEOMICS; QUANTIFICATION; IDENTIFICATION; CHALLENGES;
D O I
10.3390/ijms25189880
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页数:19
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