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蛋白质芯片诊断在类风湿关节炎治疗中的应用。

Protein array diagnostics for guiding therapy in rheumatoid arthritis.

机构信息

Institute of Immunology, Rikshospitalet, University of Oslo, Norway.

出版信息

Mol Diagn Ther. 2011 Oct 1;15(5):247-54. doi: 10.1007/BF03256416.

DOI:10.1007/BF03256416
PMID:22047152
Abstract

Early diagnosis and effective management of rheumatoid arthritis (RA) are pivotal, given the progressive, chronic, inflammatory, multi-systemic nature of the disease. Currently, proper initiation of adequate, individually tailored interventions in RA is delayed by the difficulty of early diagnosis and the limitations of disease activity and therapeutic response assessment tools. This is a significant challenge to rheumatologists, further complicated by the dynamic and progressively evolving autoimmune nature of RA, which is characterized by several immune mediators in a complex network that regulates the perpetuation of inflammation. Protein arrays constitute the most advanced current technology that can provide a comprehensive parallel analysis of this diverse network in RA, providing an individualized insight into immune status and host immune response. The last few years have seen significant transitions in the field of protein arrays, demonstrated by a technologic shift from the bench to the bedside, paving the way for the medical and scientific community to deliver patient-specific assessments and personalized management. Screening of protein arrays with sera or tissues from patients with RA enables the probing of immune responses and the identification of autoantibody signatures that can be used for the diagnosis and therapeutic management of patients. This article reviews the technology and the applications for protein arrays in the diagnosis and prognosis of RA. Clinical assessment tools could be derived from protein arrays, which may provide a means to continually track patients, allowing better evaluation of intervention strategies on a patient-specific basis and identification of diagnostic and disease activity biomarkers that could be used to guide optimal therapy in RA.

摘要

早期诊断和有效管理类风湿关节炎(RA)至关重要,因为这种疾病具有进行性、慢性、炎症性、多系统的性质。目前,由于早期诊断的困难以及疾病活动度和治疗反应评估工具的局限性,RA 的适当起始足够、个体化干预的时机被推迟。这对风湿病学家来说是一个重大挑战,RA 的动态和不断发展的自身免疫性质进一步使问题复杂化,其特征是在一个复杂的网络中存在几种免疫介质,该网络调节炎症的持续存在。蛋白质芯片构成了目前最先进的技术,可以对 RA 中的这种多样化网络进行全面的平行分析,为了解免疫状态和宿主免疫反应提供个体化的见解。过去几年,蛋白质芯片领域发生了重大转变,技术从实验室转移到床边,为医疗和科学界提供患者特异性评估和个性化管理铺平了道路。用 RA 患者的血清或组织筛选蛋白质芯片可以探测免疫反应并确定自身抗体特征,从而可用于诊断和治疗管理患者。本文综述了蛋白质芯片在 RA 诊断和预后中的技术和应用。可以从蛋白质芯片中得出临床评估工具,这可能为连续跟踪患者提供一种手段,从而能够更好地根据患者的具体情况评估干预策略,并确定可用于指导 RA 最佳治疗的诊断和疾病活动生物标志物。

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1
Protein array diagnostics for guiding therapy in rheumatoid arthritis.蛋白质芯片诊断在类风湿关节炎治疗中的应用。
Mol Diagn Ther. 2011 Oct 1;15(5):247-54. doi: 10.1007/BF03256416.
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本文引用的文献

1
Detection of multiple autoantibodies in patients with ankylosing spondylitis using nucleic acid programmable protein arrays.利用核酸可编程蛋白芯片检测强直性脊柱炎患者的多种自身抗体。
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Immune complexome analysis of serum and its application in screening for immune complex antigens in rheumatoid arthritis.血清免疫复合物组学分析及其在类风湿关节炎免疫复合物抗原筛选中的应用。
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Immunoprofiling using NAPPA protein microarrays.
使用核酸可编程蛋白阵列进行免疫分析。
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Preparation of protein nanoarray on silicon surface by atomic force microscopy nanofabrication.通过原子力显微镜纳米加工在硅表面制备蛋白质纳米阵列。
J Nanosci Nanotechnol. 2010 Jul;10(7):4505-10. doi: 10.1166/jnn.2010.2368.
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Covalent binding of streptavidin on gold magnetic nanoparticles for bead array fabrication.用于微珠阵列制造的链霉亲和素在金磁性纳米颗粒上的共价结合。
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A protein multiplex microarray substrate with high sensitivity and specificity.一种具有高灵敏度和特异性的蛋白质多重微阵列底物。
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Adiponectin-mediated changes in effector cells involved in the pathophysiology of rheumatoid arthritis.脂联素介导的参与类风湿性关节炎病理生理学的效应细胞变化。
Arthritis Rheum. 2010 Oct;62(10):2886-99. doi: 10.1002/art.27616.
9
Rapid and simultaneous detection of Ureaplasma parvum and Chlamydia trachomatis antibodies based on visual protein microarray using gold nanoparticles and silver enhancement.基于金纳米颗粒和银增强的可视化蛋白质微阵列快速同步检测解脲支原体和沙眼衣原体抗体。
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10
Label-free detection techniques for protein microarrays: prospects, merits and challenges.无标记检测技术在蛋白质微阵列中的应用:前景、优点和挑战。
Proteomics. 2010 Feb;10(4):731-48. doi: 10.1002/pmic.200900458.