蛋白质标志物的免疫质谱分析方法及应用进展

    Progress in Immuno-Mass Spectrometry Methods and Applications for Protein Biomarkers

    • 摘要: 蛋白质标志物主要存在于人体细胞和外周循环系统中,其浓度的变化往往反映生物体的健康或疾病状态。由于生物体中蛋白质标志物含量低,且部分以结合形式存在,检测难度显著增加。蛋白质标志物的高灵敏度准确定量分析是临床医学和生命科学研究的共同目标。传统的检测手段如化学发光法和电化学发光法等存在交叉反应和光谱重叠等问题,难以满足蛋白质标志物多组分分析和准确定量的需求。相比之下,免疫质谱分析方法(IMS)结合免疫识别和质谱检测,展现出高特异性、高灵敏度、多通道检测能力,可用于生物体中蛋白质结构解析和多组分蛋白质的准确定量,已成为复杂基体中的目标分子结构解析和定量分析的重要工具,在蛋白质标志物检测中得到广泛应用。综述了三类不同原理的IMS特点和研究进展,分析了IMS检测灵敏度、准确度和稳定性的影响因素,介绍了IMS在蛋白质标志物检测中的应用情况,讨论了IMS面临的挑战和未来发展方向。

       

      Abstract: Protein biomarkers exist in human cells and peripheral circulatory system. Changes in their concentrations often reflect the organism in a state of health or disease. The low abundance of protein biomarkers in biological organisms, coupled with the fact that some proteins exist in bound forms, increases the difficulty of detection. Highly sensitive and accurate quantification of protein biomarkers is a common goal in clinical medicine and life sciences research. Traditional detection methods, such as chemiluminescence immunoassay and electrochemiluminescence, struggle to meet the requirements for multi-component analysis and accurate quantification of protein biomarkers due to issues like cross-reactivity and spectral overlap inherent in these techniques. In contrast, Immuno-mass spectrometry (IMS), which combines immune recognition and mass spectrometry detection, demonstrates high specificity, sensitivity, and multi-component analysis capabilities, can be used for the structural analysis, as well as the accurate quantification of multiple proteins simultaneously. IMS has become an important tool for the structural analysis and quantitative analysis of target molecules in complex matrices and is widely used in the detection of protein biomarkers. This article reviews the characteristics and research progress of three different types of IMS, analyzes the critical issues for the sensitivity, accuracy, and stability of IMS detection, introduces the application of IMS in protein biomarker detection, and discusses the challenges and further development of IMS.

       

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