• Osteoarthritis biomarker could help 300

    From ScienceDaily@1337:3/111 to All on Mon Oct 12 21:30:32 2020
    Osteoarthritis biomarker could help 300 million people worldwide

    Date:
    October 12, 2020
    Source:
    University of South Australia
    Summary:
    Researchers are a step closer to finding a new biomarker for
    osteoarthritis, a painful condition which affects more than 300
    million people worldwide.



    FULL STORY ========================================================================== Using new state-of-the-art imaging techniques to identify signs of osteoarthritis (OA), UniSA scientists are learning more about changes
    at the molecular level which indicate the severity of cartilage damage.


    ==========================================================================
    A study led by PhD student Olivia Lee and her supervisor Associate
    Professor Paul Anderson using mass spectrometry imaging (MSI) has mapped complex sugars on OA cartilage, showing different sugars are associated
    with damaged tissue compared to healthy tissue.

    The finding will potentially help overcome one of the main challenges
    of osteoarthritis research -- identifying why cartilage degrades at
    different rates in the body.

    "Despite its prevalence in the community, there is a lot about
    osteoarthritis that we don't understand," Prof Anderson says.

    "It is one of the most common degenerative joint diseases, yet there are limited diagnostic tools, few treatment options and no cure." Existing OA biomarkers are still largely focused on bodily fluids which are neither reliable nor sensitive enough to map all the changes in cartilage damage.



    ==========================================================================
    By understanding the biomolecular structure at the tissue level and how
    the joint tissues interact in the early stages of osteoarthritis, UniSA researchers say any molecular changes could be targeted to help slow
    the progression of the disease with appropriate medication or treatment.

    Osteoarthritis affects an estimated 2.2 million Australians and more than
    300 million people worldwide, with those aged over 45 most at risk. Being female, overweight, and having existing joint injuries increases the
    risk of getting OA.

    In Australia, $3.75 million is spent on joint replacements alone for osteoarthritis patients each year, and other indirect costs related to
    lost work productivity and loss of wellbeing are estimated to be more
    than $23 billion a year.

    In a recent paper published in the International Journal of Molecular
    Sciences, Lee and her colleagues from UniSA's Musculoskeletal Biology
    Research Laboratory and the Future Industries Institute explore how
    advances in mass spectrometry imaging (MSI) to detect OA are promising.

    "To date, diagnosing osteoarthritis has relied heavily on x-rays or MRI,
    but these provide limited information and don't detect biomolecular
    changes that signal cartilage and bone abnormalities," Lee says.

    "By contrast, alternative imaging methods such as MSI can identify
    specific molecules and organic compounds in the tissue section."
    MSI has already demonstrated its strengths in identifying biomarkers
    for different types of cancer, and UniSA researchers are hopeful it can
    achieve the same for early diagnosis of osteoarthritis.


    ========================================================================== Story Source: Materials provided by University_of_South_Australia. Note: Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Yea-Rin Lee, Matthew T. Briggs, Mark R. Condina, Hamish Puddy,
    Paul H.

    Anderson, Peter Hoffmann, Julia S. Kuliwaba. Mass Spectrometry
    Imaging as a Potential Tool to Investigate Human Osteoarthritis
    at the Tissue Level.

    International Journal of Molecular Sciences, 2020; 21 (17): 6414
    DOI: 10.3390/ijms21176414 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2020/10/201012103149.htm

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