Kaushik Ajeet, Vabbina Phani Kiran, Atluri Venkata, Shah Pratikkumar, Vashist Arti, Jayant Rahul Dev, Yandart Adriana, Nair Madhavan
Center for Personalized Nanomedicine, Institute of NeuroImmune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA.
Biosens Bioelectron. 2016 Dec 15;86:426-431. doi: 10.1016/j.bios.2016.06.086. Epub 2016 Jun 29.
Electrochemical monitoring-on-chip (E-MoC)-based approach for rapid assessment of human immunodeficiency virus (HIV)-infection in the presence of cocaine (Coc) and specific drugs namely i.e., tenofovir (Tef), rimcazole (RA) is demonstrated here, for the first time, using electrochemical impedance spectroscopy (EIS). An in-vitro primary human astrocytes (HA) model was developed using a cultureware chip (CC, used for E-MoC) for HIV-infection, Coc exposure and treatment with anti-HIV drug i.e., Tef, and Coc antagonist i.e., RA. The charge transfer resistance (Rct) value of each CC well varies with respect to infection and treatment demonstrated highly responsive sensitivity of developed chip. The results of E-MoC, a proof-of-the concept, suggested that HIV-infection progression due to Coc ingestion and therapeutic effects of highly specific drugs are measurable on the basis of cell electrophysiology. Though, this work needs various molecular biology-based optimizations to promote this technology as an analytical tool for the rapid assessment of HIV-infection in a patient to manage HIV diseases for timely diagnosis. The presented study is based on using CNS cells and efforts are being made to perform this method using peripheral cells such as monocytes derived dendritic cells.
本文首次展示了基于芯片电化学监测（E-MoC）的方法，利用电化学阻抗谱（EIS）在存在可卡因（Coc）以及特定药物（即替诺福韦（Tef）、利姆卡唑（RA））的情况下快速评估人类免疫缺陷病毒（HIV）感染情况。使用培养芯片（CC，用于E-MoC）开发了体外原代人星形胶质细胞（HA）模型，用于HIV感染、Coc暴露以及用抗HIV药物（即Tef）和Coc拮抗剂（即RA）进行治疗。每个CC孔的电荷转移电阻（Rct）值随感染和治疗情况而变化，表明所开发芯片具有高度灵敏的响应性。E-MoC的结果作为概念验证表明，基于细胞电生理学可以测量因摄入Coc导致的HIV感染进展以及高度特异性药物的治疗效果。不过，这项工作需要基于分子生物学进行各种优化，以将该技术推广成为一种用于快速评估患者HIV感染情况以管理HIV疾病并及时诊断的分析工具。所呈现的研究基于使用中枢神经系统细胞，目前正在努力使用外周细胞（如单核细胞衍生的树突状细胞）来实施该方法。
