Smartphone-linked system for diagnosis and epidemiological reporting of pathogens at the point of care

智能手机连接系统,用于在护理点诊断和流行病学报告病原体

基本信息

项目摘要

Abstract Infectious disease remains the world’s top contributor to death and disability, and, due to their ability to spread rapidly through insect vectors or contact with bodily fluids, there is an urgent need for simple, sensitive and easily translatable point-of-care tests, particularly for infections that are difficult to differentiate based upon clinical symptoms alone. This project develops a novel point-of-care platform to quantitatively diagnose viral infectious diseases (Zika, Dengue (types 1 and 3), and Chikungunya) from whole blood samples using a microfluidic platform that performs sample pre-processing in a microfluidic cartridge followed by real-time reverse-transcription loop-mediated isothermal amplification (RT-LAMP) in the same cartridge with pre-dried primers specific to pathogen targets. Our handheld, inexpensive (~$500), point-of-care platform communicates its measurements to a smartphone to process a sequence of fluorescence images of the amplification reaction. Image analysis of the dynamic amplification process is used to estimate the pathogen count from amplification initiation points using a novel approach called “spatial” LAMP (S-LAMP). Our preliminary data shows that the approach provides selectivity and detection limits that are equivalent to conventional Polymerase Chain Reaction (PCR) or LAMP reactions performed with conventional laboratory instruments, and the ability to detect the targets with high specificity from complex media. The S-LAMP approach demonstrates potential to detect 1-5 pathogen copies per reaction. The system will be evaluated using a rigorous tiered approach using plasmids containing the target nucleic acid sequence for initial characterization of detection limits, followed by nucleic acid pathogen extracts, culminating of detection of the pathogens in whole blood using chemical lysis to release target nucleic acids. Partnering with collaborators at the Institute for Infectious Diseases in Brazil, and Carle Clinic in Urbana, the system will be utilized on patient sample repositories and measurements compared to gold standard analysis. Importantly, as detection, image processing, and quantitation are performed with the smartphone microprocessor, detection is easily integrated with a cloud-based database reporting system that facilitates communication with remotely-located physicians and tracking of epidemiological data by health services. The resulting platform will be broadly applicable to a wide variety of multiplexed panels of pathogens that are of interest for human health, animal health, food safety, and environmental monitoring.
摘要 传染病仍然是世界上造成死亡和残疾的最主要原因, 快速通过昆虫媒介或与体液接触,迫切需要简单、敏感和 易于翻译的护理点测试,特别是对于难以区分的感染 仅临床症状。该项目开发了一种新的床旁平台,用于定量诊断病毒 感染性疾病(寨卡病毒、登革热(1型和3型)和基孔肯雅病毒), 微流控平台,其在微流控盒中执行样品预处理,随后进行实时 逆转录环介导的等温扩增(RT-LAMP)在同一盒中与预干燥的 特异于病原体靶标的引物。我们的手持式,廉价(约500美元),即时护理平台, 将其测量结果发送到智能手机,以处理扩增反应的荧光图像序列。 动态扩增过程的图像分析用于估计来自扩增的病原体计数 使用称为“空间”LAMP(S-LAMP)的新方法来检测起始点。初步数据显示, 该方法提供的选择性和检测限与传统聚合酶链反应相当 使用常规实验室仪器进行的PCR反应(PCR)或LAMP反应, 从复杂介质中检测出高特异性的靶标。S-LAMP方法证明了 每个反应检测1-5个病原体拷贝。该系统将采用严格的分层方法进行评估, 含有靶核酸序列的质粒,用于检测限的初始表征,然后 核酸病原体提取物,最终使用化学裂解检测全血中的病原体 以释放靶核酸。与巴西传染病研究所的合作者合作, 该系统将用于患者样本库和测量 与黄金标准分析相比。重要的是,由于检测、图像处理和定量是 通过智能手机微处理器执行,检测很容易与基于云的数据库集成 报告系统,便于与远程医生进行通信,并跟踪 卫生部门的流行病学数据。由此产生的平台将广泛适用于各种各样的 对人类健康、动物健康、食品安全感兴趣的病原体的多重组, 环境监测

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Rashid Bashir其他文献

Rashid Bashir的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Rashid Bashir', 18)}}的其他基金

Point-of-Care Microfluidic Biochip for Biomarkers Monitoring for Contributing in Early Sepsis Diagnosis
用于生物标志物监测的护理点微流控生物芯片有助于早期脓毒症诊断
  • 批准号:
    10673974
  • 财政年份:
    2021
  • 资助金额:
    $ 39.21万
  • 项目类别:
Point-of-Care Microfluidic Biochip for Biomarkers Monitoring for Contributing in Early Sepsis Diagnosis
用于生物标志物监测的护理点微流控生物芯片有助于早期脓毒症诊断
  • 批准号:
    10462484
  • 财政年份:
    2021
  • 资助金额:
    $ 39.21万
  • 项目类别:
Smartphone-linked system for diagnosis and epidemiological reporting of pathogens at the point of care
智能手机连接系统,用于在护理点诊断和流行病学报告病原体
  • 批准号:
    10462690
  • 财政年份:
    2019
  • 资助金额:
    $ 39.21万
  • 项目类别:
High accuracy optical growth assay of 3D cellular systems
3D 细胞系统的高精度光学生长测定
  • 批准号:
    10330571
  • 财政年份:
    2019
  • 资助金额:
    $ 39.21万
  • 项目类别:
Atomically-thin diode integrated into a nanopore DNA Sensor
集成到纳米孔 DNA 传感器中的原子薄二极管
  • 批准号:
    9808985
  • 财政年份:
    2019
  • 资助金额:
    $ 39.21万
  • 项目类别:
Multiplexed Pathogen Detection from Whole Blood for Rapid Detection of Sepsis
全血多重病原体检测可快速检测脓毒症
  • 批准号:
    9809870
  • 财政年份:
    2019
  • 资助金额:
    $ 39.21万
  • 项目类别:
LLISA: ???Liposome-Linked Immunosorbant Assay??? for Detection of HIV Viral Load
LLISA:???脂质体连接免疫吸附测定???
  • 批准号:
    8514874
  • 财政年份:
    2013
  • 资助金额:
    $ 39.21万
  • 项目类别:
"LLISA:'Liposome-Linked Immunosorbant Assay' for Detection of HIV Viral Load at Point-of-Care"
“LLISA:用于护理点 HIV 病毒载量检测的‘脂质体联免疫吸附测定’”
  • 批准号:
    8721331
  • 财政年份:
    2013
  • 资助金额:
    $ 39.21万
  • 项目类别:
Measurements of BPDE-DNA adducts by solid state nonopore and deep sequencing (PQ
通过固态非孔和深度测序 (PQ
  • 批准号:
    8534070
  • 财政年份:
    2012
  • 资助金额:
    $ 39.21万
  • 项目类别:
Measurements of BPDE-DNA adducts by solid state nonopore & deep sequencing (PQ3
通过固态非孔测量 BPDE-DNA 加合物
  • 批准号:
    8384743
  • 财政年份:
    2012
  • 资助金额:
    $ 39.21万
  • 项目类别:

相似海外基金

The earliest exploration of land by animals: from trace fossils to numerical analyses
动物对陆地的最早探索:从痕迹化石到数值分析
  • 批准号:
    EP/Z000920/1
  • 财政年份:
    2025
  • 资助金额:
    $ 39.21万
  • 项目类别:
    Fellowship
Animals and geopolitics in South Asian borderlands
南亚边境地区的动物和地缘政治
  • 批准号:
    FT230100276
  • 财政年份:
    2024
  • 资助金额:
    $ 39.21万
  • 项目类别:
    ARC Future Fellowships
The function of the RNA methylome in animals
RNA甲基化组在动物中的功能
  • 批准号:
    MR/X024261/1
  • 财政年份:
    2024
  • 资助金额:
    $ 39.21万
  • 项目类别:
    Fellowship
Ecological and phylogenomic insights into infectious diseases in animals
对动物传染病的生态学和系统发育学见解
  • 批准号:
    DE240100388
  • 财政年份:
    2024
  • 资助金额:
    $ 39.21万
  • 项目类别:
    Discovery Early Career Researcher Award
Zootropolis: Multi-species archaeological, ecological and historical approaches to animals in Medieval urban Scotland
Zootropolis:苏格兰中世纪城市动物的多物种考古、生态和历史方法
  • 批准号:
    2889694
  • 财政年份:
    2023
  • 资助金额:
    $ 39.21万
  • 项目类别:
    Studentship
Using novel modelling approaches to investigate the evolution of symmetry in early animals.
使用新颖的建模方法来研究早期动物的对称性进化。
  • 批准号:
    2842926
  • 财政年份:
    2023
  • 资助金额:
    $ 39.21万
  • 项目类别:
    Studentship
Study of human late fetal lung tissue and 3D in vitro organoids to replace and reduce animals in lung developmental research
研究人类晚期胎儿肺组织和 3D 体外类器官在肺发育研究中替代和减少动物
  • 批准号:
    NC/X001644/1
  • 财政年份:
    2023
  • 资助金额:
    $ 39.21万
  • 项目类别:
    Training Grant
RUI: Unilateral Lasing in Underwater Animals
RUI:水下动物的单侧激光攻击
  • 批准号:
    2337595
  • 财政年份:
    2023
  • 资助金额:
    $ 39.21万
  • 项目类别:
    Continuing Grant
RUI:OSIB:The effects of high disease risk on uninfected animals
RUI:OSIB:高疾病风险对未感染动物的影响
  • 批准号:
    2232190
  • 财政年份:
    2023
  • 资助金额:
    $ 39.21万
  • 项目类别:
    Continuing Grant
A method for identifying taxonomy of plants and animals in metagenomic samples
一种识别宏基因组样本中植物和动物分类的方法
  • 批准号:
    23K17514
  • 财政年份:
    2023
  • 资助金额:
    $ 39.21万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了