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Experimental and Computational Models of Bacteria Transport and Adhesion in the Microvasculature

Experimental and Computational Models of Bacteria Transport and Adhesion in the Microvasculature
微血管中细菌运输和粘附的实验和计算模型
批准号:
2133739
负责人:
Bahareh Behkam
金额:
$49.35万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-12-01 至 2024-11-30

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中文摘要
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英文摘要
Bacteria transport in the human circulatory system has important implications in bacteria-mediated cancer therapy and blood-borne bacterial infection. Bacteria in the bloodstream enter into the surrounding tissue through microvasculature or capillary walls. The motion of bacteria in capillaries is influenced by their own self-propulsion, capillary size, the presence of red blood cells in the capillary, and the pressure difference between the capillary and the surrounding tissue. Bacteria also adhere to the capillary wall through various physical and chemical mechanisms. All these factors influence the penetration of bacteria from the bloodstream into the surrounding tissue through the capillary wall. Study of bacteria transport in the human body is very challenging; therefore, this research proposes laboratory experiments and computer modeling of bacteria transport and adhesion in capillaries under physiologically relevant conditions. The methods developed in this research can also be applied to other pathogens such as viruses and fungi, as well as drug delivery agents. The proposed research can significantly impact human health by contributing to the discovery of new drug targets in cancer and infectious diseases in the long term. The proposed research elements will also be integrated into interdisciplinary educational and outreach experiences for K-12, community college, undergraduate, and graduate students to enhance recruitment and retention of the socioeconomically disadvantaged and ethnically underrepresented groups in science, technology, engineering, and mathematics.The goal of this project is to systematically investigate the role of the capillary structure and flow parameters, bacterial motility and adhesive interactions, and transcapillary pressure gradient on the intracapillary transport, margination, and adhesion of bacteria in normal and leaky tumor microvasculature. This goal will be achieved through the following specific aims: (1) Development of physiologically relevant microfluidic and computational models of capillary flow; (2) Investigation of the role of bacteria motility and flagella- and type-1 pili-mediated adhesive interactions with the endothelium in bacteria margination and adhesion to the endothelium; (3) Determination of the role of transcapillary pressure gradient on bacteria transport in normal and leaky tumor microvasculature. The proposed work is transformative as it will create new knowledge about the role of capillary hemodynamics, bacterial motility, and bacteria-host cell interactions in the transport and dissemination of bacteria by establishing a new suite of computational and experimental platforms in Fluid Dynamics.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
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会议论文
Motion Enhanced Multi‐Level Tracker (MEMTrack): A Deep Learning‐Based Approach to Microrobot Tracking in Dense and Low‐Contrast Environments
运动增强型多级跟踪器 (MEMTrack):一种基于深度学习的方法,用于在密集和低对比度环境中跟踪微型机器人
DOI: 10.1002/aisy.202300590
发表时间: 2024
期刊: Advanced Intelligent Systems
影响因子: 7.4
作者: [Sawhney, Medha, Karmarkar, Bhas, Leaman, Eric J., Daw, Arka, Karpatne, Anuj, Behkam, Bahareh]
通讯作者: Behkam, Bahareh
EFRI ELiS: Nano-Bio-Hybrid Living Systems for Airborne Biothreat Detection
CAREER: A Biomanufactured Platform for Modulating Immune Cell-Bacteria Interactions in the Tumor Microenvironment
RI: Small: Distributed Network of BacteriaBots
国内基金
海外基金
Computational Methods for Analyzing Toponome Data