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Tag: Trinity College Dublin

  • Lung cells’ immune response to flu revealed

    Lung cells’ immune response to flu revealed

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    Newswise — Researchers from Trinity College Dublin have discovered some new and surprising ways that viral RNA and influenza virus are detected by human lung cells, which has potential implications for treating people affected by such viruses.

    Influenza viruses remain a major threat to human health and can cause severe symptoms in young, elderly, and immuno-compromised populations, leading to annual epidemics which endanger between 3 and 5 million people of severe illness and cause 290,000 to 650,000 deaths worldwide.

    These viruses primarily target respiratory epithelial cells to replicate, where they cause cell damage and death. Scientists have become aware that these epithelial cells are not mere passive barriers, helpless to attack, but instead are vital in driving the antiviral immune response.

    However, until now, our understanding of the mechanism underpinning that response has been very limited. Now, thanks to work performed by PhD student Coralie Guy, in the research team of Andrew Bowie, Professor of Innate Immunology in Trinity’s School of Biochemistry and Immunology, some answers have arisen.

    The team discovered that viral RNA and influenza viruses stimulate two different molecular pathways in which specific proteins set off chain reactions that result in two proteins called “gasdermin D” and “gasdermin E” being processed in such a way that they form membrane pores in the epithelial cells. 

    These pores allow the release of special agent “cytokines” charged with sparking the immune system into life, and also cause death of the cells which prevents the virus spreading.

    To assess the importance of this finding, the team suppressed the formation of the gasdermin pores to see what would happen, and this resulted in increased replication of influenza viruses, underlining how important these gasdermins are in the antiviral response.

    The research has just been published in the journal iScience. Speaking about the research and its implications, Professor Bowie, who is based in Trinity’s Biomedical Sciences Institute, said: 

    “By forming an EU-wide network of scientists with different expertise in immunology and virology, we were able to ask some fundamental questions about how our bodies respond to RNA viruses such as influenza and SARS-CoV-2. 

    “We realised that very little was known about the initial response to viruses in those early moments when our lungs first encounter a virus. Through Coralie’s work we were able to make some important discoveries that highlight previously unknown aspects of the immune response to influenza, which we will now build on to examine how relevant they are to other viral infections of the lung, such as SARS-CoV-2 and RSV.”

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  • New machine-learning technique for classifying key immune cells has implications for a suite of diseases

    New machine-learning technique for classifying key immune cells has implications for a suite of diseases

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    Newswise — Eesearchers from Trinity College Dublin have developed a new, machine learning-based technique to accurately classify the state of macrophages, which are key immune cells. Classifying macrophages is important because they can modify their behaviour and act as pro- or anti-inflammatory agents in the immune response. As a result, the work has a suite of implications for research and has the potential to one day make major societal impact. 

    For example, this new approach could be of use to drug designers looking to create therapies targeting diseases and auto-immune conditions such as diabetes, cancer and rheumatoid arthritis – all of which are impacted by cellular metabolism and macrophage function. 

    Because classifying macrophages allows scientists to directly distinguish between macrophage states – based only on their metabolic response under certain conditions – this new information could be used as a diagnosis tool, or to highlight the role of a particular cell type in a disease environment. 

    The landmark research, which used human macrophages in experiments, was led by Michael Monaghan, Associate Professor in Biomedical Engineering at Trinity. The work brought together biomedical engineers, computer scientists and immunologists and has just been published in leading journal eLife. Professor Monaghan comments: 

    “Currently, there are no other methods that employ artificial intelligence-based, machine learning approaches to macrophage classification. A number of different techniques are currently used to classify macrophages, but all of these have significant drawbacks. 

    “Our method uses a 2-photon fluorescence lifetime imaging microscope (2P-FLIM), which is unique to Trinity and to Ireland. 2P-FLIM does not require sample pre-treatment, can be used to follow changes in metabolism non-invasively and in real-time – which opens the door to tracking disease progression and/or physiological response to therapies — and it also requires a lower number of cells compared with conventional techniques.”

    Nuno Neto, PhD Candidate in the School of Engineering, added: 

    “It is becoming increasingly clear that to solve many of society’s greatest problems, we need to take multi-disciplinary approaches to harness the expertise of people working in different fields. 

    “Trinity is rightly known as a leader in immunometabolism research, with many of our scientists focusing on how it regulates immune cell response, and how immune cell metabolism is impacted in diseases. This study benefits from that expertise, but also bridges the use of advanced computer science approaches and utilises an advanced microscope from the Biomedical Engineering Department with a regime never reported previously. It thus serves as a prime example of inter-departmental collaboration in a multidisciplinary field.”

    Nuno Neto’s Doctoral Studies are supported by a Trinity College Dublin Provost’s PhD Award and Professor Monaghan is a Funded Investigator in the Science Foundation Ireland (SFI) Centres AMBER and CÚRAM. Trinity’s FLIM Core Unit directed by Professor Monaghan was established using an SFI Infrastructure Programme: Category D Opportunistic Funds Call. 

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