idw – Informationsdienst Wissenschaft

Nachrichten, Termine, Experten

Grafik: idw-Logo
Grafik: idw-Logo

idw - Informationsdienst
Wissenschaft

Science Video Project
idw-Abo

idw-News App:

AppStore

Google Play Store



Instanz:
Teilen: 
27.02.2024 14:12

Determine stroke risk at an early stage using tear fluid, mitochondria and AI-based data

Jana Schäfer Kommunikation und Medien
Universitätsklinikum Bonn

    Every year, over 100 million people worldwide suffer a stroke. Ischemic strokes are the most common, but they can also occur "silently" and therefore often go undetected. This can result in serious illnesses such as dementia, depression or even suicide. In order to determine the risk of stroke at an early stage, Prof. Dr. Olga Golubnitschaja, head of the research group for 3P (predictive, preventive and personalized) medicine at the University Hospital Bonn (UKB), together with the University of Bonn and other authors from 25 institutions from 11 countries, has developed a holistic approach to health risk assessment associated with targeted prevention and individualized treatment algorithms.

    The number of strokes has increased worldwide in recent years. "The figures for younger people under 50 are particularly alarming," explains Prof. Golubnitschaja "The number here has doubled within three years. There are also undetected cases. It is estimated that the proportion in the population is around 14 times greater than the proportion of diagnosed cases to which reactive medical measures are applied."

    Paradigm shift from "reactive" to "predictive" medicine required

    The researchers have therefore developed an innovative concept that aims to help prevent strokes and focuses on "predictive" rather than "reactive" medicine. In other words, the aim is to predict the probability of illness and take measures based on this to reduce the risk of illness instead of reacting to an already established illness. "The development from a predisposition to a clinically proven stroke or cardiac arrest does not happen overnight, but over a period of years. Therefore, the time for targeted prevention is ample and should be used cost-effectively in favor of susceptible population groups. There are various risk factors and parameters that indicate this and which can be investigated in advance," says Prof. Golubnitschaja. Together with her 3PM research group at the University of Bonn and the international 3PM consortium (European Association for Predictive, Preventive and Personalsed Medicine, EPMA), she has developed a non-invasive, painless approach that uses a health risk assessment through tear fluid, mitochondria as a vital biosensor and AI-supported data interpretation.

    Mitochondria serve as natural biosensors

    "Mitochondria are present in every cell of our body and act as a vital partner and strict observer of whether everything runs smoothly with our health," explains Prof. Golubnitschaja "If something is wrong, the mitochondria report through mitophagy and signal to all systems that we have a health problem. These signals can be measured objectively using liquid biopsies." The non-invasive and painless collection and analysis of tear fluid allows an individualized profile of the patient to be created.

    Supplemented by additional routine questioning during a regular check-ups, for example including family predispositions, lifestyle, sleeping and eating habits, a series of parameters for individualized risk assessment is created. Due to the large number of parameters recorded, the researchers are using artificial intelligence (AI) to develop algorithms that enable a robust health risk assessment, predictive diagnostics and thus the development of targeted preventive measures.

    "The implementation of the 3PM innovation saves both human and financial resources," says Prof. Golubnitschaja "The estimated global economic burden of strokes is over 891 billion US dollars every year. This is an economic disaster that we want to counteract through predictive medicine by using our holistic approach to prevent strokes before they occur."

    Publication: Olga Golubnitschaja et al.; The paradigm change from reactive medical services to 3PM in ischemic stroke: A holistic approach utilising tear fluid multi-omics, mitochondria as a vital biosensor and AI-based multi-professional data interpretation; DOI: https://doi.org/10.1007/s13167-024-00356-6


    Wissenschaftliche Ansprechpartner:

    Prof. Dr. Olga Golubnitschaja
    Head of the 3P Medicine research group at the University Hospital Bonn (UKB)
    E-Mail: Olga.Golubnitschaja@ukbonn.de


    Originalpublikation:

    Olga Golubnitschaja et al.; The paradigm change from reactive medical services to 3PM in ischemic stroke: A holistic approach utilising tear fluid multi-omics, mitochondria as a vital biosensor and AI-based multi-professional data interpretation; DOI: https://doi.org/10.1007/s13167-024-00356-6


    Bilder

    Prof. Dr. Olga Golubnitschaja, Head of the Research Group for 3P (predictive, preventive and personalized) Medicine at the University Hospital Bonn (UKB)
    Prof. Dr. Olga Golubnitschaja, Head of the Research Group for 3P (predictive, preventive and persona ...
    R. Müller
    University Hospital Bonn (UKB)


    Merkmale dieser Pressemitteilung:
    Journalisten
    Medizin
    überregional
    Forschungsprojekte
    Englisch


     

    Hilfe

    Die Suche / Erweiterte Suche im idw-Archiv
    Verknüpfungen

    Sie können Suchbegriffe mit und, oder und / oder nicht verknüpfen, z. B. Philo nicht logie.

    Klammern

    Verknüpfungen können Sie mit Klammern voneinander trennen, z. B. (Philo nicht logie) oder (Psycho und logie).

    Wortgruppen

    Zusammenhängende Worte werden als Wortgruppe gesucht, wenn Sie sie in Anführungsstriche setzen, z. B. „Bundesrepublik Deutschland“.

    Auswahlkriterien

    Die Erweiterte Suche können Sie auch nutzen, ohne Suchbegriffe einzugeben. Sie orientiert sich dann an den Kriterien, die Sie ausgewählt haben (z. B. nach dem Land oder dem Sachgebiet).

    Haben Sie in einer Kategorie kein Kriterium ausgewählt, wird die gesamte Kategorie durchsucht (z.B. alle Sachgebiete oder alle Länder).