Fluvoxamine alters the activity of energy metabolism enzymes in the brain

Ferreira, Gabriela K.; Cardoso, Mariane R.; Jeremias, Isabela C.; Gonçalves, Cinara L.; Freitas, Karolina V.; Antonini, Rafaela; Scaini, Giselli; Rezin, Gislaine T.; Quevedo, João; Streck, Emílio L.

doi:10.1590/1516-4446-2013-1202

“…A number of studies have shown that some antidepressants, including fluvoxamine, fluoxetine, sertraline, paroxetine, nortriptyline, and venlafaxine, alter ETC activity in mitochondria (241,264). The reduction of ROS production could explain their beneficial effects (265)(266)(267).…”

Section: Antidepressantsmentioning

confidence: 99%

The Role of Mitochondria in Mood Disorders: From Physiology to Pathophysiology and to Treatment

Giménez‐Palomo

¹

,

Dodd

²

,

Anmella

³

et al. 2021

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Mitochondria are cellular organelles involved in several biological processes, especially in energy production. Several studies have found a relationship between mitochondrial dysfunction and mood disorders, such as major depressive disorder and bipolar disorder. Impairments in energy production are found in these disorders together with higher levels of oxidative stress. Recently, many agents capable of enhancing antioxidant defenses or mitochondrial functioning have been studied for the treatment of mood disorders as adjuvant therapy to current pharmacological treatments. A better knowledge of mitochondrial physiology and pathophysiology might allow the identification of new therapeutic targets and the development and study of novel effective therapies to treat these specific mitochondrial impairments. This could be especially beneficial for treatment-resistant patients. In this article, we provide a focused narrative review of the currently available evidence supporting the involvement of mitochondrial dysfunction in mood disorders, the effects of current therapies on mitochondrial functions, and novel targeted therapies acting on mitochondrial pathways that might be useful for the treatment of mood disorders.

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“…Hydroxybutyrate might be helpful for screening depression and predicting its progress [41]. Creatine kinase (CK) activity was reported to increase in the prefrontal cortex, hippocampus, and striatum of rats, and CK levels were increased in the serum of a patient with depression after antidepressant treatment [42,43]. The normal role of CK is to catalyze the reversible transfer of the phosphoryl group from phosphocreatine to adenosine diphosphate (ADP), and through this process ATP used as energy by cells is generated [44].…”

Section: Resultsmentioning

confidence: 99%

Potential biomarkers for predicting of depression in diabetes mellitus

Song¹,

Zheng

²

,

Zhang³

et al. 2020

Preprint

0

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Background To identify the potential biomarkers for predicting depression in diabetes mellitus using the support vector machine technique to analyze routine biochemical tests and vital signs between two groups: subjects with both diabetes mellitus and depression, and subjects with diabetes mellitus alone. Methods Electronic medical records upon admission and biochemical tests and vital signs of 135 patients with both diabetes mellitus and depression and 178 patients with diabetes mellitus alone were identified for this retrospective study. After the covariate regression analysis on age and sex, the two groups were classified by the recursive feature elimination-based support vector machine and the biomarkers were also identified by 10-fold cross validation. Specifically, the training data, evaluation data, and testing data were split for ranking the parameters, determine the optimal parameters, and assess classification performance. Results The experimental results identified 12 predictive biomarkers with classification accuracy of 74%. The 12 biomarkers are hydroxybutyrate, magnesium, hydroxybutyrate dehydrogenase, creatine kinase, total protein, high-density lipoprotein cholesterol, cholesterol, absolute value of the lymphocyte, blood urea nitrogen, chlorine, platelet count, and glutamyltranspeptidase. Receiver operating characteristic curve analysis was also used with area under the curve being 0.79. Conclusions Some biochemical parameters may be potential biomarkers to predict depression among the subjects with diabetes mellitus.

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“…Hydroxybutyrate might be helpful for screening depression and predicting its progress [41]. Creatine kinase (CK) activity was reported to increase in the prefrontal cortex, hippocampus, and striatum of rats, and CK levels were increased in the serum of a patient with depression after antidepressant treatment [42,43]. The normal role of CK is to catalyze the reversible transfer of the phosphoryl group from phosphocreatine to adenosine diphosphate (ADP), and through this process ATP used as energy by cells is generated [44].…”

Section: Discussionmentioning

confidence: 99%

Potential Biomarkers for Predicting of Depression in Diabetes Mellitus

Song

¹

,

Zheng

²

,

Zhang

³

et al. 2019

SSRN Journal

0

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Background To identify the potential biomarkers for predicting depression in diabetes mellitus using the support vector machine technique to analyze routine biochemical tests and vital signs between two groups: subjects with both diabetes mellitus and depression, and subjects with diabetes mellitus alone. Methods Electronic medical records upon admission and biochemical tests and vital signs of 135 patients with both diabetes mellitus and depression and 178 patients with diabetes mellitus alone were identi ed for this retrospective study. After the covariate regression analysis on age and sex, the two groups were classi ed by the recursive feature elimination-based support vector machine and the biomarkers were also identi ed by 10-fold cross validation. Speci cally, the training data, evaluation data, and testing data were split for ranking the parameters, determine the optimal parameters, and assess classi cation performance. Results The experimental results identi ed 12 predictive biomarkers with classi cation accuracy of 74%. The 12 biomarkers are hydroxybutyrate, magnesium, hydroxybutyrate dehydrogenase, creatine kinase, total protein, high-density lipoprotein cholesterol, cholesterol, absolute value of the lymphocyte, blood urea nitrogen, chlorine, platelet count, and glutamyltranspeptidase. Receiver operating characteristic curve analysis was also used with area under the curve being 0.79. Conclusions Some biochemical parameters may be potential biomarkers to predict depression among the subjects with diabetes mellitus. Background Diabetes mellitus is a chronic illness affecting about 347 million people worldwide in 2017, and this number is expected to increase more than half by 2035 [1, 2]. The disease will also lead to emotional distress other than physical symptoms and impose psychosocial impacts on life quality, which complicates its management. Depression and diabetes mellitus are common comorbid conditions [3]. A meta-analysis reported that patients with diabetes mellitus more than doubled the odds of developing depression [3]. Another study described that depression was highly prevalent, affecting approximately 26% of the patients with diabetes mellitus [4]. In addition, depression was found to be associated with a greater number of complications of diabetes mellitus [5]. Furthermore, depression itself is a disabling disease and imposes

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Fluvoxamine alters the activity of energy metabolism enzymes in the brain

Cited by 12 publications

References 40 publications

The Role of Mitochondria in Mood Disorders: From Physiology to Pathophysiology and to Treatment

The Role of Mitochondria in Mood Disorders: From Physiology to Pathophysiology and to Treatment

Potential biomarkers for predicting of depression in diabetes mellitus

Potential Biomarkers for Predicting of Depression in Diabetes Mellitus

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