The Potential of Hair Matrix for Biomarker Analysis in Schizophrenia

    Enric Rubio-Contreras, Nora Guasch-Capella, Albert Martínez-Pinteño, David Olivares-Berjaga, Constanza Morén
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    Studysummary In this review, researchers explored hair as a promising tool for identifying biomarkers in schizophrenia, highlighting its potential for supporting personalized medicine through ease of sampling, though acknowledging challenges like individual variability and methodological inconsistencies.
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    The review discusses the potential of hair as a non-invasive matrix for biomarker analysis in schizophrenia (SCZ), offering advantages like long-term data retention and ease of sampling compared to traditional matrices such as blood and urine. Hair analysis can detect trace elements, drugs, antipsychotics, cortisol, neurotransmitters, and gene expression, providing insights into SCZ pathophysiology and substance abuse. Despite challenges like individual variability and methodological inconsistencies, hair analysis shows promise for personalized medicine in SCZ. The review emphasizes the need for further research to establish robust biomarkers and standardized protocols to enhance diagnosis, treatment monitoring, and understanding of SCZ.
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