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Você está em: Start > Project/Service Agreement:PTDC/DTP-PIC/4562/2014 - POCI-01-0145-FEDER-016678

Project/Service Agreement:PTDC/DTP-PIC/4562/2014 - POCI-01-0145-FEDER-016678

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Status
Projeto EncerradoClosed
Publication
PublicadoPublished
General Data
Code: 70242
 
Reference: PTDC/DTP-PIC/4562/2014 - POCI-01-0145-FEDER-016678
Short name: Coded-FISH
Title: Development of a novel colour-coded RING FISH method: an innovative tool for the detection of antibiotic resistant clinical
Competitive Funding: Yes
Does it involve businesses?: No
No. of Participating Institutions: 2
Scope
Type: Funded Project
 
Geographical Scope: National
 
Type of Action: R&TD
Funding
Programme: P2020|COMPETE - Projetos em Todos os Domínios Científicos
Funding Institution: FCT - Fundação para a Ciência e a Tecnologia
Financial Geographical Scope: National
Date of the Funding Agreement: 2016-05-11
Scheduling
Effective Start Date: 2016-07-01
Expected Completion Date: 2019-07-01
Effective Completion Date: 2020-09-30
Budget
Currency: EUR
 
Total Approved Budget: 178.573,00 EUR
Details
Summary: More than 4 million patients are estimated to acquire a healthcare-associated infection in the EU every year, resulting in approximately 37000 deaths. With the widespread use of empiric antibiotic treatments, the selective pressure for resistances has resulted in a high prevalence of multidrug resistant bacteria. As an example, surveillance programs (such as SCOPE and SENTRY), indicate that 70 to 80% of the coagulase-negative staphylococci are resistant to methicillin. This data highlights both the need for rapid and accurate diagnostics that can direct the therapy.
In the last decade, nucleic acid mimics-based assays, specially Peptide Nucleic Acid Fluorescence in situ Hybridization (PNA FISH) assays, have been developed for the identification of clinical pathogens, in an expedite way of unparallel accuracy. More recently, some studies have shown that its implementation as a routine method in clinical laboratories allows for a rational use of medicines, reduces hospitalization times and mortality, consequently resulting in considerable reduction of the health costs for institutions. Another important advantage of these methods is its capacity to detect antibiotic resistances resulting from point mutations in the ribosomal RNA. These point mutations have been extensively found in several bacteria exhibiting resistance to different macrolides and to linezolid. Our group took advantage of this property and successfully developed a PNA FISH method to detect clarithromycin-resistant strains of H. pylori in gastric biopsies. This high accurate method was in fact the basis for the creation of a start-up company (Biomode), which has received a 1.6M¤ investment.
Despite the success of this method in detecting point-mutations associated with antibiotic resistance, there is still a gap in the detection of other resistance mechanisms. These latter ones are associated with the presence of specific, single (or low copy genes) in the bacterial chromosome or plasmids. This la 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

Academic fields (CORDIS - Level 5)

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

Keywords

  • Hibridação fluorescente in situ
  • Mimicos de ácidos nucleicos
  • Reconhecimento de genes
  • Resistência a antibióticos
Documents
Mais informações There are no Documents associated with the Project.

Publications associated with the Project

Article in International Scientific Journal
Andreia S. Azevedo (Author) (FEUP); Carina Almeida (Author) (Other); Luís F. Melo (Author) (FEUP); Nuno F. Azevedo (Author) (FEUP)
2017
Article in International Scientific Journal
Rui Rocha (Author) (Other); José M. Sousa (Author) (Other); Laura Cerqueira (Author) (FEUP); Nuno F. Azevedo (Author) (FEUP)
2019
Article in International Scientific Journal
Rui Rocha (Author) (Other); Carina Almeida (Author) (FEUP); Nuno F. Azevedo (Author) (FEUP)
2018
Article in International Scientific Journal
Susana Patrícia Lopes (Author) (Other); Nuno Filipe Azevedo (Author) (FEUP); Maria Olívia Pereira (Author) (Other)
2018
Article in International Scientific Journal
Andreia S. Azevedo (Author) (FEUP); Inês M. Sousa (Author) (Other); Ricardo M. Fernandes (Author) (Other); Nuno F. Azevedo (Author) (FEUP); Carina Almeida (Author) (FEUP)
2019
Article in International Scientific Journal
Rita S. Santos (Author) (FEUP); Carolina C. Lima (Author) (Other); Daniel Carvalho (Author) (Other); Francisco Meireles (Author) (Other); Nuno Guimarães (Author) (FEUP); Nuno F. Azevedo (Author) (FEUP)
2017
Summary of Presentation in a National Conference
Luciana Gomes (Author) (FEUP); Andreia Azevedo (Author) (FEUP)
2017
Institutions Participating in the Project
Institution Contact Create Tab?
Name Short name Country Type Participation Name Telephone Email
Universidade do Minho UMINHO Portugal University Proponent
Faculdade de Engenharia da Universidade do Porto FEUP Portugal University Partner
 
Budgets and Teams
Approved Budget: 45.000,00 EUR
Approved Funded Amount: 45.000,00 EUR
Approved co-funded Amount: 0,00 EUR
Funding Rate: 100 %
Confidential Budget:

People in the Project

Institution Name Short name Role Dedication (%) Contribution (%) Allocation
Start date End date
FEUP Andreia Sofia Mateus Azevedo ASMA Researcher 20 2016-07-01 2017-07-20
FEUP Laura Isabel Macieira Cerqueira LIMC Researcher 15 2016-07-01 2019-06-30
FEUP Luzia da Conceição Martins Mendes Gonçalves LCMMG Researcher 15 2016-11-01 2017-08-31
FEUP Nuno Filipe Ribeiro Pinto de Oliveira Azevedo NFA Official Researcher at the OU 15 50 2016-07-01 2019-06-30
FEUP Nuno Miguel da Rocha Guimarães NMRG Researcher 20 2016-11-01 2019-06-30
FEUP Tânia Sofia Graça Silva Researcher 50 2016-11-01 2019-06-30

Technicians in the Project

Technician Contact
FEUP 337028 Mónica Sofia Alves de Abreu Faria
Laboratories
Mais informações There are no Laboratories associated with the Project.
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