Summary
This project aims to deliver a microfluidic platform capable of isolating bacteria and Extracellular Vesicles (EVs) at high throughput and high recovery rates from clinical samples, and perform the necessary downstream analysis for the diagnosis of diseases requiring earlier/urgent treatment. Currently, long incubation steps required for identification and susceptibility testing of pathogens make clinicians to prescribe broad-spectrum antibiotic treatments in sepsis cases upon hospital admission, and in nearly half of cases this treatment fails. On a different timescale, the lack of symptoms until late stages of some cancer types such as pancreatic cancer means a high mortality rate. Profiling molecules contained in EVs —most importantly DNA, RNA, proteins and lipids— promises a powerful diagnostic tool as biomarkers for cancer, but current EV isolation methods relying on ultracentrifugation are lengthy and can potentially damage the information enclosed. Microfluidics could provide a high yield, high throughput solution for isolation and enrichment of such particles. However, current approaches do not meet requirements of throughput and/or detection limit, and lack insightful physical understanding. I propose to use novel fluid dynamic and electrokinetic models for particle manipulation in microfluidics, with state-of-the-art fabrication methods to deliver a device capable of rapidly isolating and enriching samples containing (a) bacteria at low concentration (few hundreds per mL) to be integrated in a platform with the potential to identify and perform ASTs in possible bacterial infections in body fluids that avoid culture steps in current gold standards and potentially allow a ten-fold time reduction from sample to answer; (b) EVs to replace current ultracentrifugation methods. Thus, a future clinical implementation of the project outcomes will have large economic and societal impact.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101149570 |
| Start date: | 01-09-2024 |
| End date: | 31-08-2026 |
| Total budget - Public funding: | - 165 312,00 Euro |
Cordis data
Original description
This project aims to deliver a microfluidic platform capable of isolating bacteria and Extracellular Vesicles (EVs) at high throughput and high recovery rates from clinical samples, and perform the necessary downstream analysis for the diagnosis of diseases requiring earlier/urgent treatment. Currently, long incubation steps required for identification and susceptibility testing of pathogens make clinicians to prescribe broad-spectrum antibiotic treatments in sepsis cases upon hospital admission, and in nearly half of cases this treatment fails. On a different timescale, the lack of symptoms until late stages of some cancer types such as pancreatic cancer means a high mortality rate. Profiling molecules contained in EVs —most importantly DNA, RNA, proteins and lipids— promises a powerful diagnostic tool as biomarkers for cancer, but current EV isolation methods relying on ultracentrifugation are lengthy and can potentially damage the information enclosed. Microfluidics could provide a high yield, high throughput solution for isolation and enrichment of such particles. However, current approaches do not meet requirements of throughput and/or detection limit, and lack insightful physical understanding. I propose to use novel fluid dynamic and electrokinetic models for particle manipulation in microfluidics, with state-of-the-art fabrication methods to deliver a device capable of rapidly isolating and enriching samples containing (a) bacteria at low concentration (few hundreds per mL) to be integrated in a platform with the potential to identify and perform ASTs in possible bacterial infections in body fluids that avoid culture steps in current gold standards and potentially allow a ten-fold time reduction from sample to answer; (b) EVs to replace current ultracentrifugation methods. Thus, a future clinical implementation of the project outcomes will have large economic and societal impact.Status
SIGNEDCall topic
HORIZON-MSCA-2023-PF-01-01Update Date
17-11-2024
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