Energy metabolism in major depressive disorder: Recent advances from omics technologies and imaging

Gu, Xinyi; Ke, Shuang; Wang, Qixue; Zhuang, Tongxi; Xia, Chenyi; Xu, Ying; Yang, Li; Zhou, Mingmei

doi:10.1016/j.biopha.2021.111869

Cited by 55 publications

(41 citation statements)

References 111 publications

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“…It is expected to become one of the main global burden of diseases by 2030 [3]. Due to the high prevalence of disability that translates in low productivity, and significant health and economic costs [4], MDD is considered one of the primary causes of the economic burden of disease worldwide [5]. Therefore, it is critical to tackle the incidence of this disease.…”

Section: Introductionmentioning

confidence: 99%

Adaptation of Lipid Profiling in Depression Disease and Treatment: A Critical Review

Pinto

Conde

Domingues

et al. 2022

IJMS

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Major depressive disorder (MDD), also called depression, is a serious disease that impairs the quality of life of patients and has a high incidence, affecting approximately 3.8% of the world population. Its diagnosis is very subjective and is not supported by measurable biomarkers mainly due to the lack of biochemical markers. Recently, disturbance of lipid profiling has been recognized in MDD, in animal models of MDD or in depressed patients, which may contribute to unravel the etiology of the disease and find putative new biomarkers, for a diagnosis or for monitoring the disease and therapeutics outcomes. In this review, we provide an overview of current knowledge of lipidomics analysis, both in animal models of MDD (at the brain and plasma level) and in humans (in plasma and serum). Furthermore, studies of lipidomics analyses after antidepressant treatment in rodents (in brain, plasma, and serum), in primates (in the brain) and in humans (in plasma) were reviewed and give evidence that antidepressants seem to counteract the modification seen in lipids in MDD, giving some evidence that certain altered lipid profiles could be useful MDD biomarkers for future precision medicine.

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Section: Introductionmentioning

confidence: 99%

Adaptation of Lipid Profiling in Depression Disease and Treatment: A Critical Review

Pinto

Conde

Domingues

et al. 2022

IJMS

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“…“Nitrogen metabolism” and “Maturity onset diabetes of the young” can also fit in this category because they are related to metabolism. Several studies (Gu et al, 2021; Mocking et al, 2021) demonstrate the role of metabolism in patients with MDD. The second major group contained five pathways (Viral protein interaction with cytokine and cytokine receptor, Staphylococcus aureus infection, Graft-versus-host disease, Hematopoietic cell lineage, and Cytokine-cytokine receptor interaction) related to inflammation and immune system which is parallel to the enrichment of differentially expressed genes that we identified.…”

Section: Resultsmentioning

confidence: 99%

Downregulated NPAS4 in multiple brain regions is associated with Major Depressive Disorder

Selçuk

Aksu

Dereli

et al. 2022

Preprint

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Major Depressive Disorder (MDD) is a commonly observed psychiatric disorder that affects more than 2% of the world population with a rising trend. However, disease-associated pathways and biomarkers are yet to be fully comprehended. In this study, we analyzed previously generated RNA-seq data across seven different brain regions from three distinct studies to identify differentially and co-expressed genes for patients with MDD. Differential gene expression (DGE) analysis revealed that NPAS4 is the only gene downregulated in three different brain regions. Furthermore, co-expressing gene modules responsible for glutamatergic signaling are negatively enriched in these regions. We used the results of both DGE and co-expression analyses to construct a novel MDD-associated pathway. In our model, we propose that disruption in glutamatergic signaling-related pathways might be associated with the downregulation of NPAS4 and many other immediate-early genes (IEGs) that control synaptic plasticity. In addition to DGE analysis, we identified the relative importance of KEGG pathways in discriminating MDD phenotype using a machine learning-based approach. We anticipate that our study will open doors to developing better therapeutic approaches targeting glutamatergic receptors in the treatment of MDD.

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“…Glycolysis is an important pathway for ATP production in organisms (Gu et al 2021). A lower level of glycolysis was found in various neurodegenerative diseases, such as depression, Alzheimer's disease, Parkinson's disease, and Amyotrophic Lateral Sclerosis (Xie et al 2020;Bell et al 2020).…”

Section: Discussionmentioning

confidence: 99%

Effects of Baicalin on ATP Levels in the Prefrontal Cortex of Mice Exposed to Chronic Unpredictable Mild Stress

Jin

Zhu

et al. 2022

SSRN Journal

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Depression is gradually becoming a primary mental disease threatening human health. It is urgent to clarify the pathogenesis of depression and nd new effective natural antidepressants. This study aimed to investigate the antidepressant effects of baicalin and explore its potential mechanism in a mice model of depression induced by chronic unpredictable mild stress (CUMS). Following a 6-weeks CUMS exposure, the CUMS mice were treated with baicalin (10 mg/kg) and uoxetine (20 mg/kg) for 4 weeks by oral gavage. The sucrose preference test (SPT) and forced swimming test (FST) were performed to evaluate the depression-like behaviors, and the levels of adenosine triphosphate (ATP) in the prefrontal cortex were detected. Moreover, the gene expression and enzyme activities related to the production of ATP and mitochondrial function were detected. The results indicated that the depression-like behaviors of mice induced by CUMS were improved by baicalin and uoxetine. In addition, baicalin signi cantly increased the ATP content, the mRNA expression of hexokinase (HK), pyruvate dehydrogenase alpha (PDHα), isocitrate dehydrogenase (IDH), peroxisome proliferator-activated receptor γ coactivator-1alpha (PGC1α), and sirtuin 1 (SIRT1) in the prefrontal cortex. Furthermore, baicalin also increased the activity of respiratory chain complex I, V, and the level of mitochondrial membrane potential (MMP). In conclusion, the present results suggested that the antidepressant effect of baicalin may be partly mediated by accelerating the process of glycolysis and tricarboxylic acid (TCA) and improving the mitochondrial function to enhance the ATP level in the brain.

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Energy metabolism in major depressive disorder: Recent advances from omics technologies and imaging

Cited by 55 publications

References 111 publications

Adaptation of Lipid Profiling in Depression Disease and Treatment: A Critical Review

Adaptation of Lipid Profiling in Depression Disease and Treatment: A Critical Review

Downregulated NPAS4 in multiple brain regions is associated with Major Depressive Disorder

Effects of Baicalin on ATP Levels in the Prefrontal Cortex of Mice Exposed to Chronic Unpredictable Mild Stress

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