Preprint Demonstrating the potential of untargeted hair proteomics for personalized biomarkers in stress-associated disorders, 2025, Sicorello et al

Discussion in 'Other health news and research' started by forestglip, Mar 18, 2025.

  1. forestglip

    forestglip Senior Member (Voting Rights)

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    Demonstrating the potential of untargeted hair proteomics for personalized biomarkers in stress-associated disorders

    M. Sicorello, J.-C. Sprenger, L. Störkel, B. Sarg, L. Kremser, C. Schmahl, I. Niedtfeld, A. Karabatsiakis

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    Abstract
    Biomarker research in psychopathology increasingly employs high-dimensional omics approaches. Yet, proteomics based on human hair remain largely unexplored, despite its potential to efficiently capture stable biological signals accumulated over weeks to months. This study leveraged machine learning to investigate the potential of the hair proteome, all detectable peptides and proteins, as a biomarker source for stress-associated psychopathology.

    We analyzed protein profiles from hair segments of women with non-suicidal self-injury disorder (n = 36) and healthy controls (n = 32). Of 1114 identified proteins, 611 were sufficiently abundant for analyses.

    Partial Least Squares Discriminant Analysis achieved stable 84.4% cross-validated accuracy for classification of clinical groups (p < .001), outperforming models based on data-derived clusters (60%), stress-related proteins (73%), and simulated hair cortisol from meta-analytic effect sizes (53-59%). Predicted class probabilities strongly correlated with clinical symptoms and well-being (r > .60).

    Key predictive proteins were linked to pain perception, oxidative stress, and cholesterol homeostasis. Approximately 15% of proteins differed significantly between groups, with the strongest candidates related to ribosomal function-an emerging target in depression.

    These findings establish hair proteomics as a promising, non-invasive biomarker source for psychiatric research, warranting validation in larger cohorts and exploration of clinical applications in risk assessment and personalized interventions.

    Link | PDF (Preprint: MedRxiv) [Open Access]
     
  2. Murph

    Murph Senior Member (Voting Rights)

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    love it. I'm all for exploration of samples that are easiest to collect, least invasive, easiest to send by mail. That's how you cut costs and lift sample size. Obviously if it shows nothing it's not worth it but we've recently seen some interesting results in saliva and urine. Not everything needs to be biopsies and CNS fluid!
     
  3. Sean

    Sean Moderator Staff Member

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    Sweat, and stools, are possible sample sources too.
     
    Peter Trewhitt likes this.
  4. Utsikt

    Utsikt Senior Member (Voting Rights)

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    I wish the researchers would have left out ‘psycho’.
     
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