Handheld and population-based sequencing for rapid detection of new and repurposed drug resistance in M. tuberculosis

手持式和基于群体的测序,用于快速检测结核分枝杆菌中新的和重新利用的耐药性

基本信息

项目摘要

PROJECT SUMMARY / ABSTRACT Rifampin-resistant tuberculosis (RR-TB) remains a global public health crisis. Molecular TB assays such as Xpert have led to dramatic increases in RR-TB case detection and ongoing expansion of the global estimated need for newer treatments. Tremendous financial and scientific resources are directed toward the investigation of new and repurposed drugs, but efforts to optimize and scale-up shorter course, all-oral RR-TB regimens are hindered significantly by the scarcity of availability and access to phenotypic or molecular susceptibility testing for these agents. Longstanding critical barriers of routine phenotypic drug susceptibility testing include prolonged turnaround time and infrastructure requirements that preclude efficient scale-up, contributing significantly to the DR-TB diagnostic gap. Patients are often committed to months of ineffective treatments, leading to acquisition of further drug resistance through selective drug pressure and worse clinical outcomes. Our goal in proposing this work is to improve patient outcomes through strategic and evidence-based use of genomics tools in high burden settings. We will leverage collaborations with international non-profit organizations, a South African MRC- funded cohort, and commercial partners to translate our established targeted deep sequencing assay onto a cost-efficient, handheld nanopore-based sequencing platform (Aim 1, near-clinic solution); and prospectively sequence patient samples early in the course of their treatment in two diverse geographic regions with differing RR-TB and HIV epidemics (Aim 2, centralized solution). These efforts will translate modern-day pathogen genomics into population benefits and contribute to extending the effective lifespan of hard fought new and repurposed anti-TB drugs.
项目总结/摘要 耐利福平结核病(RR-TB)仍然是全球公共卫生危机。分子TB检测试剂盒,如Xpert 已导致RR-TB病例检出率大幅增加,全球估计需求持续扩大, 新的治疗方法。大量的财政和科学资源被用于研究新的 但优化和扩大疗程较短的全口服RR-TB方案的努力受到阻碍 显着的是,这些疾病的表型或分子敏感性测试的可用性和获得性稀缺 剂.常规表型药敏试验的长期关键障碍包括 周转时间和基础设施要求,妨碍了有效的规模扩大,大大有助于 耐药结核病诊断差距。患者往往致力于数月的无效治疗,导致收购 通过选择性药物压力和更差的临床结果进一步耐药。我们的目标是提出 这项工作是通过战略性和基于证据的基因组学工具的使用, 负荷设置。我们将利用与国际非营利组织的合作,南非MRC- 资助的队列和商业合作伙伴将我们建立的靶向深度测序检测转化为 具有成本效益的手持式纳米孔测序平台(Aim 1,近临床解决方案); 在两个不同地理区域的患者治疗过程的早期对患者样本进行测序, RR-TB和HIV流行病(目标2,集中解决方案)。这些努力将把现代病原体 基因组学为人口带来好处,并有助于延长艰苦斗争的新生命和新技术的有效寿命 被重新利用的抗结核药物

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 }}

David M Engelthaler其他文献

David M Engelthaler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('David M Engelthaler', 18)}}的其他基金

Handheld and population-based sequencing for rapid detection of new and repurposed drug resistance in M. tuberculosis
手持式和基于群体的测序,用于快速检测结核分枝杆菌中新的和重新利用的耐药性
  • 批准号:
    10177697
  • 财政年份:
    2021
  • 资助金额:
    $ 74.59万
  • 项目类别:
Arizona Department of Health Services Laboratory - MICRO TGEN Track 4
亚利桑那州卫生服务部实验室 - MICRO TGEN Track 4
  • 批准号:
    10175850
  • 财政年份:
    2020
  • 资助金额:
    $ 74.59万
  • 项目类别:
Arizona Department of Health Services Laboratory - MICRO TGEN Track 4
亚利桑那州卫生服务部实验室 - MICRO TGEN Track 4
  • 批准号:
    10440672
  • 财政年份:
    2020
  • 资助金额:
    $ 74.59万
  • 项目类别:
Novel next-generation sequencing assay for monitoring multidrug resistant tuberculosis treatment in the setting of HIV infection
用于监测 HIV 感染情况下耐多药结核病治疗的新型下一代测序测定
  • 批准号:
    10320408
  • 财政年份:
    2018
  • 资助金额:
    $ 74.59万
  • 项目类别:

相似海外基金

Establishment of a new biological assay using Hydra nematocyst deployment
利用水螅刺丝囊部署建立新的生物测定方法
  • 批准号:
    520728-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 74.59万
  • 项目类别:
    University Undergraduate Student Research Awards
POINT-OF-CARE BIOLOGICAL ASSAY FOR DETERMINING TISSUE-SPECIFIC ABSORBED IONIZING RADIATION DOSE (BIODOSIMETER) AFTER RADIOLOGICAL AND NUCLEAR EVENTS.
用于确定放射和核事件后组织特异性吸收电离辐射剂量(生物剂量计)的护理点生物测定。
  • 批准号:
    10368760
  • 财政年份:
    2017
  • 资助金额:
    $ 74.59万
  • 项目类别:
POINT-OF-CARE BIOLOGICAL ASSAY FOR DETERMINING TISSUE-SPECIFIC ABSORBED IONIZING RADIATION DOSE (BIODOSIMETER) AFTER RADIOLOGICAL AND NUCLEAR EVENTS.
用于确定放射和核事件后组织特异性吸收电离辐射剂量(生物剂量计)的护理点生物测定。
  • 批准号:
    10669539
  • 财政年份:
    2017
  • 资助金额:
    $ 74.59万
  • 项目类别:
POINT-OF-CARE BIOLOGICAL ASSAY FOR DETERMINING TISSUE-SPECIFIC ABSORBED IONIZING RADIATION DOSE (BIODOSIMETER) AFTER RADIOLOGICAL AND NUCLEAR EVENTS.
用于确定放射和核事件后组织特异性吸收电离辐射剂量(生物剂量计)的护理点生物测定。
  • 批准号:
    9570142
  • 财政年份:
    2017
  • 资助金额:
    $ 74.59万
  • 项目类别:
POINT-OF-CARE BIOLOGICAL ASSAY FOR DETERMINING TISSUE-SPECIFIC ABSORBED IONIZING RADIATION DOSE (BIODOSIMETER) AFTER RADIOLOGICAL AND NUCLEAR EVENTS.
用于确定放射和核事件后组织特异性吸收电离辐射剂量(生物剂量计)的护理点生物测定。
  • 批准号:
    9915803
  • 财政年份:
    2017
  • 资助金额:
    $ 74.59万
  • 项目类别:
COVID-19 Supplemental work: POINT-OF-CARE BIOLOGICAL ASSAY FOR DETERMINING TISSUE-SPECIFIC ABSORBED IONIZING RADIATION DOSE (BIODOSIMETER).
COVID-19 补充工作:用于确定组织特异性吸收电离辐射剂量的护理点生物测定(生物剂量计)。
  • 批准号:
    10259999
  • 财政年份:
    2017
  • 资助金额:
    $ 74.59万
  • 项目类别:
Drug discovery based on a new biological assay system using Yeast knock-out strain collection
基于使用酵母敲除菌株收集的新生物测定系统的药物发现
  • 批准号:
    21580130
  • 财政年份:
    2009
  • 资助金额:
    $ 74.59万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Machine learning for automatic gene annotation using high-throughput biological assay data
使用高通量生物测定数据进行自动基因注释的机器学习
  • 批准号:
    300985-2004
  • 财政年份:
    2005
  • 资助金额:
    $ 74.59万
  • 项目类别:
    Postdoctoral Fellowships
Machine learning for automatic gene annotation using high-throughput biological assay data
使用高通量生物测定数据进行自动基因注释的机器学习
  • 批准号:
    300985-2004
  • 财政年份:
    2004
  • 资助金额:
    $ 74.59万
  • 项目类别:
    Postdoctoral Fellowships
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了