Objective
Liver fibrosis is the build-up of scar tissue resulting in impaired liver function. It can have different causes including alcohol abuse, obesity and viral hepatitis. For reasons that we do not fully understand, patients with fibrosis (termed cirrhosis) are more susceptible to infections. In fact, 50% of hospitalized patients with liver cirrhosis and infection die, highlighting the scale of this problem. Macrophages (MFs) are immune cells present in every tissue of the body that function to eliminate pathogens. In the liver, one subset of MFs, the Kupffer cells (KCs) are perfectly equipped with scavenger and pathogen recognition receptors to do this. Moreover, they are positioned in the bloodstream meaning they are one of the first cells to sense and respond to circulating pathogens although their precise roles have not yet been elucidated. In cirrhosis, KCs are reduced in number, being replaced by distinct MF subtypes, including a population termed lipid-associated MFs (LAMs). Preliminary data from the host lab demonstrate that both KCs and LAMs from the cirrhotic liver respond less efficiently to infection when compared with their healthy counterparts. Thus, I hypothesize that the altered MF landscape in cirrhosis and fibrosis is one mechanism driving the increased susceptibility and exacerbated responses to infection in these patients. Here, I aim to test this hypothesis by examining how the different MFs respond to infection in the presence and absence of fibrosis. Using novel mouse models specifically targeting the distinct MF populations, coupled with ex vivo cultures of human hepatic MFs, I will tease apart the mechanisms through which MFs exert their effects and attempt to manipulate these to recuperate normal MF numbers and functions potentially uncovering novel therapeutic approaches to limit infection and improve cirrhotic patient health.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health scienceshealth sciencesinfectious diseases
- natural scienceschemical sciencesorganic chemistryalcohols
- medical and health sciencesclinical medicinehepatology
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
9052 ZWIJNAARDE - GENT
Belgium