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OPTIMISE SIGNED

Dissecting the molecular pathogenesis of Legionella spp. in human lung models

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 OPTIMISE project word cloud

Explore the words cloud of the OPTIMISE project. It provides you a very rough idea of what is the project "OPTIMISE" about.

mechanisms    flu    clinical    transcriptomics    usually    reaching    serogroup    symptoms    histology    relevance    flavia    unprecedented    accidental    slices    clearance    disease    pulmonary    infected    events    live    progression    human    gram    isolates    90    legionnaires    respiratory    establishing    underlying    inhalation    negative    excorporeal    acute    visualise    similarly    bacteria    environmental    virulence    status    reflect    employ    stages    mice    vivo    severe    mostly    infection    immune    gaps    determined    treatments    incidence    evlp    tissue    species    mild    poorly    cellular    drive    unclear    models    outcomes    susceptibility    legionella    sheet    pneumophila    lungs    perfusion    confocal    populations    hpcls    light    viana    cell    ex    suppression    transcriptional    single    precision    molecular    opportunistic    biology    lung    microscopy    dynamics    exacerbation    fail    medical    pneumonia    predominant    correlates    patients    aging    dr    infections    perfused    types    modulatory    host    tackle    strains    cut   

Project "OPTIMISE" data sheet

The following table provides information about the project.

Coordinator
THE QUEEN'S UNIVERSITY OF BELFAST 

Organization address
address: UNIVERSITY ROAD LANYON BUILDING
city: BELFAST
postcode: BT7 1NN
website: www.qub.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 212˙933 €
 EC max contribution 212˙933 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-08-01   to  2021-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE QUEEN'S UNIVERSITY OF BELFAST UK (BELFAST) coordinator 212˙933.00

Map

 Project objective

Aging populations and the increasing use of immune modulatory medical treatments have given rise to a growing incidence of opportunistic infections. Legionella species are Gram-negative environmental bacteria, which after accidental inhalation can cause respiratory infections with symptoms reaching from a mild flu to a severe pneumonia, called Legionnaires’ disease. Disease progression, i.e. clearance or exacerbation of infection, is determined by the immune status of the host and acute pneumonia usually associated with immune suppression and/or underlying pulmonary conditions, but the molecular mechanisms enhancing susceptibility are poorly understood. The infection biology of Legionella has been studied mostly in cellular infection models and mice, which do not develop human-like disease. As patients typically present only at late stages of infection, it is unclear to which extent findings from these models reflect the early processes which occur in the human lung during infection and how these drive the clinical outcomes. Similarly, these models fail to explain, why L. pneumophila serogroup 1 strains are the predominant cause of more than 90% of Legionnaires’ disease cases. In this project I, the applicant Dr. Flavia Viana, will tackle these knowledge gaps by establishing and using human precision cut lung tissue slices (hPCLS) and excorporeal perfused whole human lungs (Ex vivo lung perfusion (EVLP)) as infection models for Legionella. I will determine if and how virulence of different Legionella isolates in these models correlates with their relevance in the clinical practice, analyse the transcriptional responses of all cell types in the infected human tissue using single cell transcriptomics and employ histology, state-of-the-art confocal and light sheet live microscopy, to visualise infection dynamics and host responses, providing unprecedented insight into the molecular events leading to the development of Legionnaires’ disease.

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The information about "OPTIMISE" are provided by the European Opendata Portal: CORDIS opendata.

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