Enhanced MDx: a computational model to optimize pre-analytical pathogen isolation from whole blood

增强型 MDx：优化全血分析前病原体分离的计算模型

• 批准号: 10650836
• 负责人: Cass T Miller
• 金额: $ 98.7万
• 依托单位: REDBUD LABS, INC.
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-10 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10650836
• 关键词: 2019-nCoV; Adhesions; Affinity; Agreement; Area; Back; Binding Sites; Biological; Biological Assay; Cancer Detection; Cardiovascular system; Characteristics; Communities; Complex; Computer Models; Computer Simulation; Data; Device or Instrument Development; Devices; Diffusion; Environment; Future; Goals; HIV; Liquid substance; Magnetism; Methods; Microfluidic Microchips; Microfluidics; Modeling; North Carolina; Nucleic Acids; Output; Performance; Phase; Physics; Plasma; Preparation; Probability; Research; Rod; Running; Saliva; Sampling; Sepsis; Side; Solid; Specimen; Structure; Surface; System; Technology; Thermodynamics; Universities; Water; Whole Blood; biological systems; design; detection limit; diagnostic assay; diagnostic technologies; improved; in silico; liquid biopsy; magnetic beads; molecular diagnostics; pathogen; phase 2 study; point-of-care diagnostics; pressure; scale up; simulation; success; theories; tool

ABSTRACT Microscale simulations have been applied to a number of complex microfluidic systems and biological applications, but existing methods are limited in the scale and scope of problems that are addressable. Thermodynamically constrained averaging theory (TCAT) is an established approach that can be used to formulate customized macroscale models that are consistent with microscale physics and thermodynamics. TCAT modeling frameworks have been developed, evaluated, and validated for a wide range of applications involving fluid and solid phases, and in Phase I of this project, Redbud Labs’ actuatable post technology enabling rapid target isolation and concentration was successfully modeled by the Griffith and Miller Labs at the University of North Carolina at Chapel Hill at both the micro and macroscale. This will enable future in silico optimization of these microfluidic systems for use in Point of Care Diagnostic (POC Dx) In this Phase II study, we will expand upon the models developed in Phase I to include scenarios relevant to a broad group of molecular diagnostics, including those where off target species are plentiful and target species are exceedingly rare. In addition, Phase II models will include relevant biological matrices such as whole blood, plasma, and saliva. The developed computational model will then be used to optimize high-impact purification/diagnostic assays for HIV, SARS-CoV-2, cancer detection (liquid biopsy), and sepsis. Finally, the optimized components will be ported to Redbud Labs’ existing sample prep platform, NAxtract, and made available for research use only applications.

摘要 微尺度模拟已经应用于许多复杂的微流体系统和生物 但现有方法在可解决问题的规模和范围方面受到限制。 热力学约束平均理论(TCAT)是一种成熟的方法，可用于 制定与微观物理和热力学相一致的定制宏观模型。 TCAT建模框架已经针对广泛的应用程序进行了开发、评估和验证 包括流体和固相，在该项目的第一阶段，Redbud实验室的可执行POST技术 格里菲斯和米勒实验室成功地模拟了目标的快速分离和集中 北卡罗来纳大学教堂山分校在微观和宏观两个方面。这将使未来在 这些微流控系统在护理点诊断(POC Dx)中的电子优化 在此第二阶段研究中，我们将对第一阶段开发的模型进行扩展，以包括相关的场景 对广泛的分子诊断学，包括那些目标物种丰富的和有目标的 物种极其稀有。此外，第二阶段的模型将包括相关的生物矩阵，如 血液、血浆和唾液。然后，开发的计算模型将用于优化高冲击力 艾滋病毒、SARS-CoV-2、癌症检测(液体活检)和败血症的纯化/诊断检测。最后， 优化后的组件将被移植到Redbud Labs现有的样品准备平台NAxtract上，并制造 仅适用于研究用途应用程序。