MacinNASH | Revealing the contribution of liver macrophage populations to NASH in insulin resistance

Summary
Non-alcoholic steatohepatitis (NASH), the most common chronic liver disease worldwide, is an unmet medical need with no approved therapies and debilitating consequences for patients. Obesity-associated insulin resistance is a high-risk factor for the development of NASH. The prevailing paradigm is a multiple hit process, whereby lipid accumulation in the liver of obese patients leads to oxidative stress and increased production of inflammatory cytokines by macrophages. However, my research group's comprehensive investigations in mice and humans have revealed that liver macrophages (LMs) contribute to insulin resistance and oxidative stress independently of their inflammatory status. I thereby propose that LMs predispose insulin resistant patients to NASH independently of their inflammatory status.  In this ambitious multidisciplinary project, we will use a novel platform encompassing multiple single cell and in situ omics technologies tailored by my research group to characterize the phenotype of LM populations in healthy individuals and insulin resistant patients with or without NASH. We will strengthen this approach with functional validation in animal models as well as human liver organoids using a patented technology that I have developed to specifically manipulate gene expression in macrophages. We will then decipher how hepatic insulin resistance creates a spatiotemporal environment facilitating NASH. My group's unique access to patient material combined with cutting-edge methodologies to reveal the phenotype of single LMs provides an exceptional starting point from which to identify genes and pathways involved in the development of NASH in obese insulin resistant patients. This project will set the stage for a paradigm-shift in studying and treating life-threatening liver diseases.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/864788
Start date: 01-03-2020
End date: 28-02-2025
Total budget - Public funding: 1 999 781,00 Euro - 1 999 781,00 Euro
Cordis data

Original description

Non-alcoholic steatohepatitis (NASH), the most common chronic liver disease worldwide, is an unmet medical need with no approved therapies and debilitating consequences for patients. Obesity-associated insulin resistance is a high-risk factor for the development of NASH. The prevailing paradigm is a multiple hit process, whereby lipid accumulation in the liver of obese patients leads to oxidative stress and increased production of inflammatory cytokines by macrophages. However, my research group's comprehensive investigations in mice and humans have revealed that liver macrophages (LMs) contribute to insulin resistance and oxidative stress independently of their inflammatory status. I thereby propose that LMs predispose insulin resistant patients to NASH independently of their inflammatory status.  In this ambitious multidisciplinary project, we will use a novel platform encompassing multiple single cell and in situ omics technologies tailored by my research group to characterize the phenotype of LM populations in healthy individuals and insulin resistant patients with or without NASH. We will strengthen this approach with functional validation in animal models as well as human liver organoids using a patented technology that I have developed to specifically manipulate gene expression in macrophages. We will then decipher how hepatic insulin resistance creates a spatiotemporal environment facilitating NASH. My group's unique access to patient material combined with cutting-edge methodologies to reveal the phenotype of single LMs provides an exceptional starting point from which to identify genes and pathways involved in the development of NASH in obese insulin resistant patients. This project will set the stage for a paradigm-shift in studying and treating life-threatening liver diseases.

Status

TERMINATED

Call topic

ERC-2019-COG

Update Date

27-04-2024
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EU-Programme-Call
Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2019
ERC-2019-COG