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

Ahrum SonDepartment of Molecular Medicine, Scripps Research, San Diego, CA 92037, USAWoojin KimDepartment of Bio-AI Convergence, Chungnam National University, Daejeon 34134, Republic of KoreaJongham ParkDepartment of Bio-AI Convergence, Chungnam National University, Daejeon 34134, Republic of KoreaYongho ParkDepartment of Bio-AI Convergence, Chungnam National University, Daejeon 34134, Republic of KoreaWonseok LeeDepartment of Bio-AI Convergence, Chungnam National University, Daejeon 34134, Republic of KoreaSangwoon LeeDepartment of Bio-AI Convergence, Chungnam National University, Daejeon 34134, Republic of KoreaHyunsoo KimDepartment of Bio-AI Convergence, Chungnam National University, Daejeon 34134, Republic of Korea
2024en
ABI

Аннотация

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.

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