<p>Major depressive disorder (MDD) is one of the most common mental illnesses and poses a serious threat to public health. MDD is associated with various biological changes, such as increased inflammation, oxidative stress, dysregulation of the stress axis, and changes in growth factors. These changes may serve as potential biomarkers for more accurate diagnosis and effective treatment of depression. Recent years have seen increasing interest in identifying biomarkers that could serve as objective indicators of a patient’s condition. This opens up new horizons for diagnosis and treatment, allowing for a more personalized approach to each patient. This review examines current research in the field of seeking biomarkers able to act as objective indicators of a patient’s condition. Particular attention is paid to methods for identifying these biological markers and their prospects for clinical practice, including diagnosis, monitoring of treatment efficacy, and predicting relapses. These approaches may lead to significant improvements in treatment outcomes and quality of life for patients suffering from depression.</p>

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Identification of Biomarkers for Depression: Prospects for Use in Clinical Practice

  • S. A. Kashchenko,
  • K. A. Kormachenko,
  • M. G. Musaelyan,
  • D. V. Galenko,
  • A. N. Salakhova

摘要

Major depressive disorder (MDD) is one of the most common mental illnesses and poses a serious threat to public health. MDD is associated with various biological changes, such as increased inflammation, oxidative stress, dysregulation of the stress axis, and changes in growth factors. These changes may serve as potential biomarkers for more accurate diagnosis and effective treatment of depression. Recent years have seen increasing interest in identifying biomarkers that could serve as objective indicators of a patient’s condition. This opens up new horizons for diagnosis and treatment, allowing for a more personalized approach to each patient. This review examines current research in the field of seeking biomarkers able to act as objective indicators of a patient’s condition. Particular attention is paid to methods for identifying these biological markers and their prospects for clinical practice, including diagnosis, monitoring of treatment efficacy, and predicting relapses. These approaches may lead to significant improvements in treatment outcomes and quality of life for patients suffering from depression.