• Blood markers can predict depression in

    From ScienceDaily@1:317/3 to All on Wed Jan 26 21:30:42 2022
    Blood markers can predict depression in pregnancy

    Date:
    January 26, 2022
    Source:
    Van Andel Research Institute
    Summary:
    Signs of inflammation in the blood reliably predict and identify
    severe depression in pregnancy, reports a new study.



    FULL STORY ========================================================================== Signs of inflammation in the blood reliably predict and identify severe depression in pregnancy, reports a new study led by scientists at Van
    Andel Institute and Pine Rest Christian Mental Health Services.


    ==========================================================================
    The team's analysis established a set of 15 biological markers found in
    the blood that can predict if pregnant women will experience significant depressive symptoms with 83% accuracy. The findings could give physicians
    a much-needed tool to identify women who may be at risk for depression
    and better tailor their care throughout pregnancy.

    Nearly one in five new mothers experience severe depression during or
    after pregnancy and an estimated 14% have suicidal thoughts. Inflammation
    can lead to worsening depressive symptoms, and pregnancy is a major inflammatory event.

    "Depression isn't just something that happens in the brain -- its
    fingerprints are everywhere in the body, including in our blood," said
    Lena Brundin, M.D., Ph.D., a VAI professor and co-senior author of the
    study. "The ability to predict pregnancy-related depression and its
    severity will be a gamechanger for protecting the health of mothers
    and their infants. Our findings are an important leap forward toward
    this goal." The study, published today in Translational Psychiatry,
    is among the first of its kind and followed 114 volunteers from
    Spectrum Health's Obstetrics and Gynecology Clinics throughout their pregnancies. Participants provided blood samples and underwent clinical evaluations for depressive symptoms in each trimester and the postpartum period.

    "Having an objective and easily accessible method associated with
    depression risk, such as a blood test, provides a unique tool for
    helping identify women who may develop depression during pregnancy,"
    said Eric Achtyes, M.D., M.S., staff psychiatrist at Pine Rest, an
    associate professor at Michigan State University and co-senior author of
    the study. "Our findings are an exciting development and an important
    first step toward using these types of methods more widely to help
    patients. Our next steps include replicating the results in additional
    patient samples to verify cut-offs for depression risk." Co-authors on
    the study include Qiong Sha, Ph.D., Zach Madaj, M.S., Sarah Keaton,
    Ph.D., Martha L. Escobar Galvis, Ph.D., and Stanislaw Krzyzanowski of
    VAI; LeAnn Smart of Pine Rest; Asgerally T. Fazleabas, Ph.D., and Richard Leach, M.D., of Michigan State University College of Human Medicine; and
    Teodor T. Postolache, M.D., of University of Maryland School of Medicine.

    special promotion Explore the latest scientific research on sleep and
    dreams in this free online course from New Scientist -- Sign_up_now_>>> ========================================================================== Story Source: Materials provided by Van_Andel_Research_Institute. Note:
    Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Qiong Sha, Zach Madaj, Sarah Keaton, Martha L Escobar Galvis, LeAnn
    Smart, Stanislaw Krzyzanowski, Asgerally T. Fazleabas,
    Richard Leach, Teodor T. Postolache, Eric D. Achtyes, Lena
    Brundin. Cytokines and tryptophan metabolites can predict depressive
    symptoms in pregnancy.

    Translational Psychiatry, 2022; 12 (1) DOI:
    10.1038/s41398-022-01801-8 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2022/01/220126122413.htm

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