Oh Bo-Ram, Chen Pengyu, Nidetz Robert, McHugh Walker, Fu Jianping, Shanley Thomas P, Cornell Timothy T, Kurabayashi Katsuo
Department of Mechanical Engineering, Department of Pediatrics and Communicable Diseases, Department of Biomedical Engineering, Department of Cell and Developmental Biology, Michigan Center for Integrative Research in Critical Care, and Department of Electrical Engineering and Computer Science, University of Michigan , Ann Arbor, Michigan 48109, United States.
Department of Mechanical Engineering, Department of Pediatrics and Communicable Diseases, Department of Biomedical Engineering, Department of Cell and Developmental Biology, Michigan Center for Integrative Research in Critical Care, and Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, United States; Department of Mechanical Engineering, Department of Pediatrics and Communicable Diseases, Department of Biomedical Engineering, Department of Cell and Developmental Biology, Michigan Center for Integrative Research in Critical Care, and Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, United States; Department of Mechanical Engineering, Department of Pediatrics and Communicable Diseases, Department of Biomedical Engineering, Department of Cell and Developmental Biology, Michigan Center for Integrative Research in Critical Care, and Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, United States; Department of Mechanical Engineering, Department of Pediatrics and Communicable Diseases, Department of Biomedical Engineering, Department of Cell and Developmental Biology, Michigan Center for Integrative Research in Critical Care, and Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, United States.
ACS Sens. 2016 Jul 22;1(7):941-948. doi: 10.1021/acssensors.6b00240. Epub 2016 Jun 22.
Immunomodulatory drugs-agents regulating the immune response-are commonly used for treating immune system disorders and minimizing graft versus host disease in persons receiving organ transplants. At the cellular level, immunosuppressant drugs are used to inhibit pro-inflammatory or tissue-damaging responses of cells. However, few studies have so far precisely characterized the cellular-level effect of immunomodulatory treatment. The primary challenge arises due to the rapid and transient nature of T-cell immune responses to such treatment. T-cell responses involve a highly interactive network of different types of cytokines, which makes precise monitoring of drug-modulated T-cell response difficult. Here, we present a nanoplasmonic biosensing approach to quantitatively characterize cytokine secretion behaviors of T cells with a fine time-resolution (every 10 min) that are altered by an immunosuppressive drug used in the treatment of T-cell-mediated diseases. With a microfluidic platform integrating antibody-conjugated gold nanorod (AuNR) arrays, the technique enables simultaneous multi-time-point measurements of pro-inflammatory (IL-2, IFN-γ, and TNF-α) and anti-inflammatory (IL-10) cytokines secreted by T cells. The integrated nanoplasmonic biosensors achieve precise measurements with low operating sample volume (1 μL), short assay time (∼30 min), heightened sensitivity (∼20-30 pg/mL), and negligible sensor crosstalk. Data obtained from the multicytokine secretion profiles with high practicality resulting from all of these sensing capabilities provide a comprehensive picture of the time-varying cellular functional state during pharmacologic immunosuppression. The capability to monitor cellular functional response demonstrated in this study has great potential to ultimately permit personalized immunomodulatory treatment.
免疫调节药物(即调节免疫反应的制剂)常用于治疗免疫系统疾病,并使接受器官移植者的移植物抗宿主病降至最低。在细胞水平上,免疫抑制药物用于抑制细胞的促炎或组织损伤反应。然而,迄今为止,很少有研究能精确地描述免疫调节治疗在细胞水平上的作用。主要挑战源于T细胞对这种治疗的免疫反应具有快速和短暂的特性。T细胞反应涉及由不同类型细胞因子组成的高度交互网络,这使得精确监测药物调节的T细胞反应变得困难。在此,我们提出一种纳米等离子体生物传感方法,以精细的时间分辨率(每10分钟)定量表征T细胞的细胞因子分泌行为,这些行为会因用于治疗T细胞介导疾病的免疫抑制药物而改变。通过一个集成了抗体偶联金纳米棒(AuNR)阵列的微流控平台,该技术能够同时对T细胞分泌的促炎细胞因子(白细胞介素-2、干扰素-γ和肿瘤坏死因子-α)和抗炎细胞因子(白细胞介素-10)进行多次时间点测量。集成的纳米等离子体生物传感器能够以低操作样品体积(1μL)、短检测时间(约30分钟)、高灵敏度(约20 - 30 pg/mL)和可忽略不计的传感器串扰实现精确测量。所有这些传感能力所产生的具有高度实用性的多细胞因子分泌谱数据,提供了药物免疫抑制过程中随时间变化的细胞功能状态的全面图景。本研究中展示的监测细胞功能反应的能力最终具有实现个性化免疫调节治疗的巨大潜力。