Regulation of TLR function: implications for the immune response in sepsis.

Lead Research Organisation: King's College London
Department Name: Immunology Infection and Inflam Diseases

Abstract

This project intends to study the cellular and molecular mechanisms regulating immune responses in sepsis.
We plan to combine imaging, mouse models and cell biology techniques to uncover the non-classical functions of the lipid-presenting molecule CD1, its role in the modulation of TLR function and ultimately in the outcome of immune responses during sepsis.
Each year in the UK more than 100,000 people are admitted to hospital with sepsis and around 40% of them will die as a result of the condition. A septic process starts originally with a response to an infection that leads to systemic inflammation and may result in injury of tissues and organs. Despite its high morbidity treatments are scarce and the mechanisms underlying the immune response during sepsis are not well defined. Toll-like receptors (TLRs) are pattern recognition receptors present on many immune cells that play a fundamental role in sensing microbial invasion and ultimately regulate the outcome of immune responses to the invading microbe. There is increasing evidence that TLRs play a vital role in the immune response during sepsis although the mechanisms that regulate their function are not fully elucidated.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
MR/N013700/1 01/10/2016 30/09/2025
1821038 Studentship MR/N013700/1 01/10/2016 28/02/2021 Phillip BRAILEY
 
Description AOG 
Organisation Francis Crick Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution Perform experiments
Collaborator Contribution Help with experiments
Impact Perform infection experiments
Start Year 2019
 
Description PG 
Organisation Cardiff University
Department School of Medicine
Country United Kingdom 
Sector Academic/University 
PI Contribution Generated data
Collaborator Contribution Advise on lipidomics
Impact Analyses of lipidomics data
Start Year 2019