Microfluidic Cancer Infection Model With Gradient Microchannels
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Solution Overview
Problem
Existing drug screening assays for cancer largely rely on cancer cells as monolayers or 3D spheroids in gels, which are not clinically relevant and have limitations in throughput and fail to accurately model in vivo microbial infection in cancer patients, missing the interaction between microorganisms and cancer cells.
Innovation Solution
A microfluidic device with multiple layers and gradient regions is used to create a cell model that mimics in vivo microbial infection, allowing for high-throughput drug discovery by simulating interactions between cancer cells and pathogens, including bacteria, viruses, and fungi, within a controlled environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional monolayer or 3D spheroid cultures are used for drug screening, then the assay is simple to perform, but the model lacks clinical relevance and cannot accurately represent in vivo microbial infection
Solution Approach 1:
The device is divided into multiple functional layers including a cell culture layer with microwells for 3D spheroid formation, a microchannel layer for fluid transport and gradient generation, and a control layer. This segmentation allows each layer to perform its specific function optimally while maintaining overall system reliability for modeling cancer-microbial interactions
Solution Approach 2:
The invention transitions from conventional 2D monolayer cultures to 3D spheroid cultures within microwells, adding a spatial dimension that better represents in vivo tumor architecture. The microfluidic channels further add flow dynamics and gradient dimensions, creating a multi-dimensional model that significantly improves clinical relevance
2Reliability
If 3D spheroids in gels are used for drug screening, then the model better represents tumor architecture, but the formation is inconsistent and throughput is limited
Solution Approach 1:
The cell culture layer contains multiple discrete microwells arranged in arrays, with each well independently forming a 3D spheroid. This segmentation enables parallel processing of numerous samples simultaneously, achieving high throughput while maintaining consistent formation conditions in each well through standardized geometry
Solution Approach 2:
The microfluidic system uses controlled fluid flow through microchannels to deliver cells and reagents to each microwell with precise timing and concentration. The hydraulic control ensures consistent cell delivery and spheroid formation across all wells, enabling reproducible 3D structure generation at high throughput
3Reliability
If existing drug screening assays are used, then the process is straightforward, but the assay fails to capture interactions between microorganisms and cancer cells
Solution Approach 1:
The device merges cancer cell cultures with microbial inoculation capabilities in a single integrated platform. The microchannels enable simultaneous or sequential introduction of cancer cells and microorganisms, allowing direct observation of their interactions within the 3D spheroid model, thereby accurately capturing cancer-microbial dynamics
Solution Approach 2:
The microfluidic microchannels act as intermediaries that control the introduction and distribution of microorganisms to cancer cell spheroids. The gradient regions in the channels enable controlled delivery of microbial concentrations, facilitating accurate modeling of infection dynamics while protecting the cell culture layer
4Measurement precision
If gradient regions are added to control microbial concentration, then the modeling accuracy improves, but the device complexity increases
Solution Approach 1:
The microchannel layer is segmented into gradient regions with varying channel widths or obstruction patterns that passively generate concentration gradients. This geometric segmentation creates different microbial concentration zones without requiring active control mechanisms, achieving precise concentration control while limiting complexity
Solution Approach 2:
The gradient regions utilize passive diffusion and flow dynamics to automatically generate concentration gradients based on the device geometry and flow rate. This self-service mechanism eliminates the need for external gradient control systems, achieving precise microbial concentration control through the device's inherent physical properties
Data Source
AI summary
There is provided a microfluidic device comprising: a microfluidic device for preparing a cell model, comprising: a housing having at least three layers; a first inlet area at a top layer and at one end of the housing for receiving a first mixture comprising cells; a second inlet area at the top layer and at an opposite end of the housing for receiving a second mixture containing one or more agents or one or more pathogens; and a plurality of microchannels through which the first mixture and/or the second mixture flows into corresponding wells, wherein each microchannel has an end in fluid communication with the first inlet area, and another end in fluid communication with the second inlet area. There are also provided methods comprising using the device.