Close Menu
    Facebook X (Twitter) Instagram
    SciTechDaily
    • Biology
    • Chemistry
    • Earth
    • Health
    • Physics
    • Science
    • Space
    • Technology
    Facebook X (Twitter) Pinterest YouTube RSS
    SciTechDaily
    Home»Health»Predicting Adolescent Mental Health Issues – Researchers Identify Plasma Biomarkers
    Health

    Predicting Adolescent Mental Health Issues – Researchers Identify Plasma Biomarkers

    By University of Eastern FinlandAugust 5, 2023No Comments3 Mins Read
    Facebook Twitter Pinterest Telegram LinkedIn WhatsApp Email Reddit
    Share
    Facebook Twitter LinkedIn Pinterest Telegram Email Reddit
    Depressed Teen Mental Health

    Researchers from the University of Eastern Finland have discovered plasma protein biomarkers that can pinpoint adolescents at risk for mental health issues, paving the way for advancements in early detection and prevention. The study, conducted by Professor Katja Kanninen’s group, found 58 proteins significantly associated with mental health risk, using a novel algorithm to create predictive models.

    Scientists from the University of Eastern Finland have discovered biomarkers in plasma proteins that can identify teenagers who may be prone to developing mental health disorders. These findings were published in Nature Mental Health.

    With an estimated 10-20% of adolescents facing mental health challenges, the majority of which go undiagnosed and untreated, there is an urgent need for new early detection methods. These innovative indicators could potentially transform the way mental health issues are identified and prevented in young people in the future.

    In the study carried out in the research group of Professor Katja Kanninen, the researchers used self-reported Strengths and Difficulties Questionnaire (SDQ) scores to evaluate mental health risks in participants aged between 11 and 16 years. Blood sample analyses showed that 58 proteins were significantly associated with the SDQ score.

    Key Biological Pathways Linked to Mental Health

    Bioinformatic analyses were used to identify the biological processes and pathways linked with the identified plasma protein biomarker candidates. Key enriched pathways related to these proteins included immune responses, blood coagulation, neurogenesis, and neuronal degeneration. The study employed a novel symbolic regression algorithm to create predictive models that best separate low and high SDQ score groups.

    According to Professor Kanninen, plasma biomarker studies in mental disorders are an emerging field.

    “Alterations in plasma proteins have been previously associated with various mental health disorders, such as depression, schizophrenia, psychotic disorders, and bipolar disorders. Our study supports these earlier findings and further revealed that specific plasma protein alterations could indicate a high risk for mental dysfunction in adolescents,” Professor Kanninen notes.

    According to the researchers, this pilot study will be followed by more specific investigations of the potential biomarkers for the identification of individuals at risk of mental health problems, opening a new avenue for advancements in adolescent mental health care.

    Reference: “Plasma proteomics discovery of mental health risk biomarkers in adolescents” by Izaque de Sousa Maciel, Aino-Kaisa Piironen, Alexey M. Afonin, Mariia Ivanova, Arto Alatalo, Kaustubh Kishor Jadhav, Jordi Julvez, Maria Foraster, Irene van Kamp and Katja M. Kanninen, 31 July 2023, Nature Mental Health.
    DOI: 10.1038/s44220-023-00103-2

    Never miss a breakthrough: Join the SciTechDaily newsletter.
    Follow us on Google and Google News.

    Biomarkers Mental Health
    Share. Facebook Twitter Pinterest LinkedIn Email Reddit

    Related Articles

    Ancient Pill Matches Modern Antidepressant in Depression Trial

    No More Trial and Error: Brain Scans May Soon Predict the Best Antidepressant for You

    Can Your Blood Reveal Who’s at Risk of Cannabis-Linked Schizophrenia?

    Could Childhood Stress Lead to Adult Diseases? UCLA Study Reveals Startling Links

    Could This Brain Discovery Change the Way We Treat OCD?

    Depression’s Link to Cellular Metabolism Unveiled: Blood Tests Can Predict Suicidal Thoughts

    First-Ever Identification of Schizophrenia Risk Markers in Newborns via DNA Methylation

    Blood Markers Reveal Hidden Clues to PTSD Diagnosis and Treatment

    Severe Depression Affects Women and Men Differently – Scientists May Have Finally Discovered Why

    Leave A Reply Cancel Reply

    • Facebook
    • Twitter
    • Pinterest
    • YouTube

    Don't Miss a Discovery

    Subscribe for the Latest in Science & Tech!

    Trending News

    Breakthrough Bowel Cancer Trial Leaves Patients Cancer-Free for Nearly 3 Years

    Natural Compound Shows Powerful Potential Against Rheumatoid Arthritis

    100,000-Year-Old Neanderthal Fossils in Poland Reveal Unexpected Genetic Connections

    Simple “Gut Reset” May Prevent Weight Gain After Ozempic or Wegovy

    2.8 Days to Disaster: Scientists Warn Low Earth Orbit Could Suddenly Collapse

    Common Food Compound Shows Surprising Power Against Superbugs

    5 Simple Ways To Remember More and Forget Less

    The Atomic Gap That Could Cost the Semiconductor Industry Billions

    Follow SciTechDaily
    • Facebook
    • Twitter
    • YouTube
    • Pinterest
    • Newsletter
    • RSS
    SciTech News
    • Biology News
    • Chemistry News
    • Earth News
    • Health News
    • Physics News
    • Science News
    • Space News
    • Technology News
    Recent Posts
    • This Common Plant Could Be an Unexpected New Source of Protein
    • Birds in Cities Fear Women More Than Men and Scientists Don’t Know Why
    • Scientists Warn That This Common Pet Fish Can Wreck Entire Ecosystems
    • Scientists Just Made Carbon Capture Much Cheaper and Easier
    • Harvard Breakthrough Brings Powerful UV Light Sources Onto a Chip
    Copyright © 1998 - 2026 SciTechDaily. All Rights Reserved.
    • Science News
    • About
    • Contact
    • Editorial Board
    • Privacy Policy
    • Terms of Use

    Type above and press Enter to search. Press Esc to cancel.