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06/12/2023 11:54

Small Differences With a Big Effect

Robert Emmerich Presse- und Öffentlichkeitsarbeit
Julius-Maximilians-Universität Würzburg

    How do our genes determine the immune response to pathogens? This depends on small differences in the genome. The situation is complex, as a new study shows.

    Not everyone reacts to infectious agents in the same way: some fall ill very severely, others only slightly, and still others possibly not at all.

    There are many different reasons for this variability. One important reason is that the genome of different people differs from one another. For example, single molecules can be exchanged in the genome – in this case, experts speak of single nucleotide polymorphisms (SNPs).

    How do such small genetic differences between people influence the activation of the immune system? Scientists from Jena, Marburg and Würzburg (Germany) have analysed this in a new study published in the journal Nature Communications.

    The study was led by Professor Oliver Kurzai (University of Würzburg / Leibniz-HKI) and Professor Johannes Schumacher (University of Marburg). The first authors are Antje Häder and Dr. Sascha Schäuble, both from the Jena Leibniz Institute for Natural Product Research and Infection Biology, Leibniz-HKI. Oliver Kurzai leads a research group at the Leibniz-HKI as well as the National Reference Centre for Invasive Fungal Infections.

    At least 745 reQTLs found in monocytes

    SNPs that influence the cell response upon activation by bacteria or fungi are called reQTLs (response expression quantitative trait loci, reQTLs). In one particular type of immune cells, the monocytes, the research team identified at least 745 reQTLs in 215 individuals that influence the activation of these cells upon contact with bacteria or fungi.

    The influence is complex and varies depending on the pathogen. Some reQTLs are more likely to influence the response to bacterial pathogens, while others are more likely to influence the response to Aspergillus fumigatus. Among the activated genes that are regulated by reQTLs are especially genes that control central immunological cell functions. The reQTLs found in the study were also linked to other diseases, such as cancer, autoimmunity, inflammatory and infectious diseases.

    Basic knowledge for personalised medicine

    "Our study makes an important contribution to better understand how a patient's genetic background influences their response to infectious agents," says Professor Oliver Kurzai. "We need to learn a lot more about this in order to move towards personalised medicine in the treatment of infectious diseases, as has been already established in cancer therapy – in other words, treatment that is individually tailored to each and every patient."

    But the new data also show how complicated clinical translation will be: "For each pathogen, there seem to be different genetic markers that regulate the human immune response – so there is still a lot to do!"


    Contact for scientific information:

    Prof. Dr. Oliver Kurzai, Institute for Hygiene and Microbiology, University of Würzburg, T +49 931 31-46160, oliver.kurzai@uni-wuerzburg.de

    Prof. Dr. Johannes Schumacher, Institute for Human Genetics, University of Marburg, T +49 6421 58-66232, johannes.schumacher@uni-marburg.de


    Original publication:

    Häder, A., Schäuble, S., Gehlen, J. et al. Pathogen-specific innate immune response patterns are distinctly affected by genetic diversity. Nature Communications 14, 3239 (2023). Open Access: https://doi.org/10.1038/s41467-023-38994-5


    Images

    Analysis of RNA sequencing data of immune cells (monocytes) from 215 healthy individuals. Each dot represents the transcriptional response of an individual in unstimulated monocytes (Ctrl) and after exposure to different pathogens.
    Analysis of RNA sequencing data of immune cells (monocytes) from 215 healthy individuals. Each dot r ...
    Sascha Schäuble
    Sascha Schäuble


    Criteria of this press release:
    Journalists, all interested persons
    Biology, Medicine
    transregional, national
    Research results, Scientific Publications
    English


     

    Analysis of RNA sequencing data of immune cells (monocytes) from 215 healthy individuals. Each dot represents the transcriptional response of an individual in unstimulated monocytes (Ctrl) and after exposure to different pathogens.


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