Health
Metabolites may be predictive indicators for patients at risk of recurrent major depression
Researchers at the University of California, San Diego School of Medicine have collaborated with Dutch scientists to discover specific biotransformers-; small molecules produced during the process of metabolism-; risk of recurrent major depressive disorder It can be a predictor of a person.
The findings were published in the online version on January 11, 2021. Translational Psychiatry..
This is evidence of mitochondrial connections at the heart of depression. This is a small study, but the first to show the possibility of using metabolic markers as a predictive clinical indicator for patients at greatest risk-; and lower risk-; for recurrent attacks of major depressive symptoms. for. “
Robert K. Naviaux, MD, PhD, Study’s Senior Author, Professor of Medicine, Pediatrics and Pathology, UC San Diego School of Medicine
Recurrent major depressive disorder (generally clinical depression) is a combination of sadness and despair, anger and frustration, loss of interest, sleep disorders, anxiety, slowing and difficulty in thinking, and suicidal ideation. A mood disorder characterized by a combination of symptoms. Physical problems of unknown cause such as back pain and headache.
Major depressive disorder (MDD) is one of the most common mental illnesses in the United States, with an estimated lifetime prevalence of 20.6%. That is, one in five Americans suffers from at least one episode in their lifetime. For patients with recurrent MDD (rMDD), the risk of recurrence for 5 years is up to 80%.
For their study, Naviaux et al. In the Netherlands recruited 68 subjects (45 females and 23 males) of rMDD, an antidepressant-free, age- and gender-matched control group. Did. After drawing blood from a patient in remission, the patient was followed forward for two and a half years.
The results showed that the metabolic signs found when patients were healthy could predict which patients were most likely to relapse after up to two and a half years. The accuracy of this prediction was over 90%. Analysis of the most predictive chemicals has found that they belong to certain types of lipids (fats, including eicosanoids and sphingolipids) and purines.
Purins are made from molecules such as ATP and ADP-; a major chemical used for intracellular energy storage, but also play a role in communications used by stressed cells, known as purinergic signaling. Play.
Researchers found that in rMDD subjects, changes in specific biotransformers in six identified metabolic pathways lead to fundamental changes in significant cellular activity.
“The findings reveal the underlying biochemical features of remitted rMDD that distinguish diagnosed patients from healthy controls,” Naviaux said. “These differences are not visible in routine clinical evaluation, but the use of metabolomics-; biotransformation biological studies-; to predict which patients are most vulnerable to recurrence of depressive symptoms. May be a new tool for. “
The authors stated that the first findings required validation in a large study of at least 198 women and 198 men (99 cases and 99 controls, respectively).
Source:
Journal reference:
Mock, RJT, et al. (2021) Metabolic features of recurrent major depressive disorder in remission, and risk of future recurrence. Translational psychiatry. doi.org/10.1038/s41398-020-01182-w..
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