A Droplet-based single cell platform for pathogen identification and AST

用于病原体识别和 AST 的基于 Droplet 的单细胞平台

• 批准号: 9038992
• 负责人: JOSEPH C LIAO
• 金额: $ 118.49万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-01 至 2020-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9038992
• 关键词: Address; Affect; Age; Antibiotic susceptibility; Antibiotics; Arizona; Bacterial Infections; Biological Assay; Bypass; Cell Culture Techniques; Cells; Clinical; Culture Media; Cytolysis; Data; Detection; Development Plans; Device or Instrument Development; Devices; Diagnosis; Diagnostic; Diffusion; Encapsulated; Escherichia coli; Future; Generations; Goals; Growth; Guidelines; Health; Healthcare; Hour; Human; Individual; Infection; Institutes; Laboratories; Life; Measurement; Methods; Microfluidic Microchips; Microfluidics; Minimum Inhibitory Concentration measurement; Molecular; Molecular Diagnosis; Molecular Probes; Nucleic Acids; Optics; Peptide Nucleic Acids; Predisposition; Process; Reagent; Reporting; Research; Research Project Grants; Research Subjects; Ribosomal RNA; Sampling; Sepsis; Source; Specificity; System; Systems Integration; Technology; Testing; Time; Translations; Universities; Urinary tract; Urinary tract infection; Urine; Validation; Vertebral column; base; combinatorial; community-acquired UTI; design; effective therapy; evidence base; improved; industry partner; innovation; instrument; molecular diagnostics; mortality; multi-drug resistant pathogen; pathogen; product development; prospective; sample collection; urinary; validation studies

 DESCRIPTION (provided by applicant): The ability for clinicians to provide effective treatments to bacterial infections with targeted antibiotics hinges on molecular diagnostics capable of identifying the pathogen and determining its susceptibility to antibiotics in a timely manner. Urinary tract infection (UTI) is a particularly representative infection because it one of the most common bacterial infections that affect all ages but is currently only diagnosed in centralized laboratories via bacterial culture, which typically takes 2-3 days for definitive diagnosis. The significant time delay between sample collection and result reporting contributes to widespread empiric use of broad-spectrum antibiotics, which has contributed towards emergence of multidrug-resistant pathogen. Toward addressing this important unmet need, our overall goal is to develop and validate an integrated diagnostic platform for bacterial pathogen identification (ID) and antibiotic susceptibility testing (AST) in a "sample-to-answer" manner in under 3 hours. Such rapid molecular diagnostics will transform the clinicians' ability to provide evidence-based diagnosis of bacterial infections, expedite treatments based on objective data, promote effective utilization of antibiotics. Specifically, we propose to develop an innovative droplet microfluidic network capable of combinatorially generating millions of picoliter (pL)-sized droplets of different compositions, i.e. mixtures of samples and probes or antibiotics at varying concentration levels, as the backbone technology. The microfluidic chip enables a streamlined approach for sample-reagent mixing, compartmentalization of mixtures into a massive number of droplets, and serial dilutions to simultaneously carry out pathogen ID and AST. In the pathogen ID module, single bacterial cells are encapsulated in droplets, achieving an effective concentration equivalent to 108-109 cfu/ml and thereby enabling rapid identification via the hybridization of molecular beacon probes in an amplification-free approach. In the AST module, individual bacterial cells are encapsulated and cultured in droplets that enhance local culture condition for bacterial growth and enable direct measurements of single bacterial doublings, thereby facilitating direct phenotypic AST from urine samples. We have assembled an academic-industry partnership consisted of Johns Hopkins University (droplet microfluidics and diagnostics), Stanford University (UTI, molecular probes, validation studies), University of Arizona (microfluidic AST), and GE Global Research (manufacturing and system integration). We propose the following aims: 1) to achieve single cell, amplification-free pathogen ID in a droplet-based microfluidic chip using a panel of peptide nucleic acid molecular beacons that target bacterial 16S rRNA; 2) to develop a droplet-based single cell AST capable of determining the minimum inhibitory concentration (MIC) for commonly used antibiotics for UTI; 3) to perform system integration and instrument development through partnership with our industry partner; and 4) to perform analytical and clinical validation with the integrated device. To facilitate technology translation, a Product Development Plan for future clinical deployment is proposed.

 描述（由申请人提供）：临床医生使用靶向抗生素对细菌感染提供有效治疗的能力取决于能够及时识别病原体并确定其对抗生素敏感性的分子诊断。尿路感染（UTI）是一种特别具有代表性的感染，因为它是影响所有年龄段的最常见的细菌感染之一，但目前仅在中心实验室通过细菌培养进行诊断，通常需要2-3天才能确诊。样本采集和结果报告之间的显著时间延迟导致广谱抗生素的广泛经验性使用，这导致了多重耐药病原体的出现。为了解决这一重要的未满足的需求，我们的总体目标是开发和验证一个集成的诊断平台，用于细菌病原体鉴定（ID）和抗生素敏感性测试（AST），在3小时内以“样本到答案”的方式进行。这种快速的分子诊断将改变临床医生对细菌感染提供循证诊断的能力，加快基于客观数据的治疗，促进抗生素的有效利用。具体来说，我们建议开发一种创新的液滴微流体网络，能够组合产生数百万皮升（pL）大小的 不同成分的液滴，即不同浓度水平的样本和探针或抗生素的混合物，作为支柱技术。微流控芯片实现了用于样品-试剂混合、将混合物分隔成大量液滴和连续稀释的流线型方法，以同时进行病原体ID和AST。在病原体ID模块中，单个细菌细胞被封装在液滴中，达到相当于108-109 cfu/ml的有效浓度，从而能够以无扩增方法通过分子信标探针的杂交进行快速鉴定。在AST模块中，单个细菌细胞被封装并在液滴中培养，这增强了细菌生长的局部培养条件，并能够直接测量单个细菌的倍增，从而促进了来自尿液样品的直接表型AST。我们已经组建了一个学术-工业合作伙伴关系，包括约翰霍普金斯大学（液滴微流体和诊断），斯坦福大学（UTI，分子探针，验证研究），亚利桑那大学（微流体AST）和GE全球研究（制造和系统集成）。我们提出以下目标：1）使用靶向细菌16 S rRNA的一组肽核酸分子信标在基于液滴的微流体芯片中实现单细胞、无扩增的病原体ID; 2）开发能够确定UTI常用抗生素的最小抑制浓度（MIC）的基于液滴的单细胞AST; 3）通过与我们的行业合作伙伴合作进行系统集成和仪器开发;以及4）使用集成设备进行分析和临床验证。为了促进技术转化，提出了未来临床部署的产品开发计划。