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Project/Service Agreement:Study Group Research Grant Agreement 2024

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Status
Projeto Em CursoIn Progress
Publication
PublicadoPublished
General Data
Code: 82096
 
Reference: Study Group Research Grant Agreement 2024
Short name: Development and Validation of Fourier transform infrared (FT-IR) spectroscopy for rapid typing of multidrug resistant Escherichia coli and infection control
Title: Development and Validation of Fourier transform infrared (FT-IR) spectroscopy for rapid typing of multidrug resistant Escherichia coli and infection control
Competitive Funding:
Does it involve businesses?: No
No. of Participating Institutions: 1
Scope
Type: Funded Project
 
Geographical Scope: International
 
Type of Action: R&TD
Funding
Programme: PS - Programa Solicitado
Funding Institution: Programa Solicitado
Financial Geographical Scope: International
Date of the Funding Agreement: 2024-03-04
Scheduling
Planned Start Date: 2024-02-01
Effective Start Date: 2024-02-01
Expected Completion Date: 2026-01-31
Effective Completion Date: 2026-01-31
Budget
Currency: EUR
 
Total Approved Budget: 30.000,00 EUR
Details
Summary: Early detection of high-risk Escherichia coli clones producing extended-spectrum β-lactamase (ESBL) and/or
carbapenemase in hospitals is key for preventing extended transmission chains and poor clinical outcomes.
Whole genome sequencing (WGS) is the reference method to support infection control, but still not suitable
for real-time analysis of multidrug resistant (MDR) bacteria in many settings. Fourier transform infrared (FTIR)
spectroscopy has proven potential to support outbreak detection and interruption of transmission chains
due to its fast and reliable accuracy for strain typing in several clinically relevant pathogens, but only a small
number of E. coli isolates have been tested. We aim to develop and validate an accurate and reproducible
workflow for real-time screening and identification of MDR E. coli high-risk clones based on FT-IR
spectroscopy, using WGS as reference.
Supported by a network of experts in E. coli, strain typing and FT-IR spectroscopy (PT, DE, NO, SP), and
previous knowledge and experience with K. pneumoniae, we will use representative and well-characterized
collections of E. coli outbreak and non-outbreak isolates from reference public health institutes in Europe
(n=600, 2015-2022) to train and validate a machine-learning classification model for real-time screening and
identification of MDR E. coli high-risk clones based on FT-IR spectroscopy, including an inter-institutional
comparison. For that, a correlation will be established between FT-IR spectra from different instruments,
core genome multi-locus sequence typing (cgMLST)/in silico serotyping and epidemiological data to support
guidance, recommendations and protocols for the use of the technology to support outbreak detection and
infection control and improve surveillance of MDR E. coli in Europe. All partners will be involved in a training
workshop in FT-IR analysis and all data will be made available to the scientific community. This will
strengthen fu Ver mais. Adequado para parcelas de texto incompletas e que, através deste ícone, permite-se que o utilizador leia o texto todo.
Scientific Context
Scientific Domain (FOS - Level 2): Medical and Health sciences > Other medical sciences

Academic fields (CORDIS - Level 5)

Mais informações There are no Academic Fields associated with the Project.

Keywords

Mais informações There are no Keywords associated with the Project.
Documents
Mais informações There are no Documents associated with the Project.

Publications associated with the Project

Institutions Participating in the Project
Institution Contact Create Tab?
Name Short name Country Type Participation Name Telephone Email
Faculdade de Farmácia da Universidade do Porto FFUP Portugal University Partner
 
Budgets and Teams
Approved Budget: 30.000,00 EUR
Approved Funded Amount: 30.000,00 EUR
Approved co-funded Amount: 30.000,00 EUR
Funding Rate: 100 %
Confidential Budget:

People in the Project

Institution Name Short name Role Dedication (%) Contribution (%) Allocation
Start date End date
FFUP Angela Patricia Silva Novais Amorim APSNA Official Researcher 2024-02-01 2026-01-31
FFUP Luisa Maria Sobreira Vieira Peixe LMSVP Researcher 2024-02-01 2026-01-31

Technicians in the Project

Technician Contact
SPUP 656280 Bruno Miguel de Almeida Costa
Laboratories
Mais informações There are no Laboratories associated with the Project.
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