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呼吸系统疾病中的蛋白质谱分析:技术与影响

Protein profiling in respiratory disease: techniques and impact.

作者信息

Boggs Susan E

机构信息

Lovelace Respiratory Research Institute, 2425 Ridgecrest Dr SE, Albuquerque, NM 87108, USA.

出版信息

Expert Rev Proteomics. 2004 Jun;1(1):29-36. doi: 10.1586/14789450.1.1.29.

Abstract

Multifactorial diseases such as respiratory disease call for a global analysis of such disorders. Recent advances in protein profiling techniques may allow for early diagnosis of respiratory disease, which is crucial for intervention and treatment. In order to reduce false-positive rates, clinical diagnosis requires a high degree of sensitivity and specificity to be an effective screening tool. Protein profiles identified by ProteinChip (Ciphergen Biosystems) technology coupled with mass spectrometry affords a global analysis of clinical samples and is beginning to reach acceptable levels of sensitivity and specificity. Combining the profile with another diagnostic tool enhances the effectiveness of protein profiles to classify disease. Although current efforts have centered on serum protein profiling, the local environment of the lung may be better reflected in proteins of bronchoalveolar lavage or sputum. Identification of biomarkers of disease by protein profiling analyses may lead to an understanding of the mechanisms of this disease and contribute to the discovery of new therapeutics for the prevention and treatment of disease. Advancing these analyses are techniques such as ProteinChip mass spectrometry, laser capture microdissection, tissue microarrays and fluorescently labeled antibody bead arrays, which enable the direct global analysis of complex mixtures. Effective high-throughput and ease of use of clinical testing will arrive with improvements in bioinformatics and decreases in instrumentation costs.

摘要

诸如呼吸系统疾病等多因素疾病需要对这类病症进行全面分析。蛋白质谱分析技术的最新进展可能有助于呼吸系统疾病的早期诊断,这对于干预和治疗至关重要。为了降低假阳性率,临床诊断需要高度的敏感性和特异性才能成为有效的筛查工具。通过蛋白质芯片(Ciphergen生物系统公司)技术结合质谱法鉴定的蛋白质谱能够对临床样本进行全面分析,并且开始达到可接受的敏感性和特异性水平。将该谱与另一种诊断工具相结合可提高蛋白质谱对疾病分类的有效性。尽管目前的研究主要集中在血清蛋白质谱分析上,但支气管肺泡灌洗或痰液中的蛋白质可能更能反映肺部的局部环境。通过蛋白质谱分析鉴定疾病生物标志物可能有助于了解这种疾病的发病机制,并有助于发现预防和治疗疾病的新疗法。推动这些分析的技术包括蛋白质芯片质谱法、激光捕获显微切割、组织微阵列和荧光标记抗体珠阵列,这些技术能够对复杂混合物进行直接的全面分析。随着生物信息学的改进和仪器成本的降低,将实现有效的高通量且易于使用的临床检测。

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