Paper-based microfluidics for DNA diagnostics of malaria in low resource underserved rural communities

疟疾 微流控 检测点注意事项 金标准(测试) 计算机科学 医学诊断 条形码 环介导等温扩增 计算生物学 注意事项 样品(材料) 聚合酶链反应 医学 生物 纳米技术 病理 DNA 材料科学 物理 内科学 操作系统 基因 热力学 生物化学 遗传学
作者
Julien Reboud,Gaolian Xu,Alice Garrett,Moses Adriko,Zhugen Yang,Edridah M. Tukahebwa,Candia Rowell,Jonathan M. Cooper
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:116 (11): 4834-4842 被引量:239
标识
DOI:10.1073/pnas.1812296116
摘要

Rapid, low-cost, species-specific diagnosis, based upon DNA testing, is becoming important in the treatment of patients with infectious diseases. Here, we demonstrate an innovation that uses origami to enable multiplexed, sensitive assays that rival polymerase chain reactions (PCR) laboratory assays and provide high-quality, fast precision diagnostics for malaria. The paper-based microfluidic technology proposed here combines vertical flow sample-processing steps, including paper folding for whole-blood sample preparation, with an isothermal amplification and a lateral flow detection, incorporating a simple visualization system. Studies were performed in village schools in Uganda with individual diagnoses being completed in <50 min (faster than the standard laboratory-based PCR). The tests, which enabled the diagnosis of malaria species in patients from a finger prick of whole blood, were both highly sensitive and specific, detecting malaria in 98% of infected individuals in a double-blind first-in-human study. Our method was more sensitive than other field-based, benchmark techniques, including optical microscopy and industry standard rapid immunodiagnostic tests, both performed by experienced local healthcare teams (which detected malaria in 86% and 83% of cases, respectively). All assays were independently validated using a real-time double-blinded reference PCR assay. We not only demonstrate that advanced, low-cost DNA-based sensors can be implemented in underserved communities at the point of need but also highlight the challenges associated with developing and implementing new diagnostic technologies in the field, without access to laboratories or infrastructure.

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