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Fu W, Xu R, Bian P, Li X, Yang K, Wang X. Exploring the shared genetic basis of major depressive disorder and frailty. J Affect Disord 2024; 366:S0165-0327(24)01410-1. [PMID: 39214376 DOI: 10.1016/j.jad.2024.08.177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Revised: 08/25/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) and frailty impose substantial health and economic burdens. MDD is recognized as a significant risk factor for frailty, but the genetic associations between these conditions remain unclear. This study investigates the genetic correlation, shared pleiotropic loci, causal relationships, and comorbid genes between MDD and frailty. METHODS The genetic correlation between MDD and frailty was assessed using linkage disequilibrium score regression (LDSC) based on data from genome-wide association studies (GWAS). A detailed analysis was performed to identify shared pleiotropic loci and causal relationships through cross-phenotype association tests and Mendelian randomization. Additionally, tissue enrichment analysis was conducted using stratified LDSC, gene-based associations with both conditions were assessed using Multimarker Analysis of Genomic Annotation (MAGMA), and pathway analysis of comorbid genes was performed using the g: GOSt tool. RESULTS Our findings revealed a significant positive genetic correlation between MDD and frailty (rg = 0.65, P = 1.49E-219). We identified 57 shared risk SNPs between the two conditions, including 6 novel SNPs. Mendelian randomization analyses indicated robust causal effects of MDD on frailty and vice versa. Furthermore, we observed tissue-specific heritability enrichment in 9 brain tissues. By combining MAGMA and CPASSOC analyses, we identified 10 comorbid genes associated with both MDD and frailty, primarily involved in synapse formation, modulation, plasticity, and desaturase activity. CONCLUSION This study provides strong evidence for a shared genetic basis between MDD and frailty. The identification of comorbid genes offers new insights into the mechanisms underlying the relationship between these conditions.
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Affiliation(s)
- Wei Fu
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, No. 127, Changle West Road, Xi'an, Shaanxi 710032, China
| | - Rong Xu
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, No. 127, Changle West Road, Xi'an, Shaanxi 710032, China
| | - Peiyu Bian
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, No. 127, Changle West Road, Xi'an, Shaanxi 710032, China
| | - Xu Li
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, No. 127, Changle West Road, Xi'an, Shaanxi 710032, China
| | - Kaikai Yang
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, No. 127, Changle West Road, Xi'an, Shaanxi 710032, China
| | - Xiaoming Wang
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, No. 127, Changle West Road, Xi'an, Shaanxi 710032, China.
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2
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Liddicoat C, Edwards RA, Roach M, Robinson JM, Wallace KJ, Barnes AD, Brame J, Heintz-Buschart A, Cavagnaro TR, Dinsdale EA, Doane MP, Eisenhauer N, Mitchell G, Rai B, Ramesh SA, Breed MF. Bioenergetic mapping of 'healthy microbiomes' via compound processing potential imprinted in gut and soil metagenomes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 940:173543. [PMID: 38821286 DOI: 10.1016/j.scitotenv.2024.173543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 05/24/2024] [Accepted: 05/24/2024] [Indexed: 06/02/2024]
Abstract
Despite mounting evidence of their importance in human health and ecosystem functioning, the definition and measurement of 'healthy microbiomes' remain unclear. More advanced knowledge exists on health associations for compounds used or produced by microbes. Environmental microbiome exposures (especially via soils) also help shape, and may supplement, the functional capacity of human microbiomes. Given the synchronous interaction between microbes, their feedstocks, and micro-environments, with functional genes facilitating chemical transformations, our objective was to examine microbiomes in terms of their capacity to process compounds relevant to human health. Here we integrate functional genomics and biochemistry frameworks to derive new quantitative measures of in silico potential for human gut and environmental soil metagenomes to process a panel of major compound classes (e.g., lipids, carbohydrates) and selected biomolecules (e.g., vitamins, short-chain fatty acids) linked to human health. Metagenome functional potential profile data were translated into a universal compound mapping 'landscape' based on bioenergetic van Krevelen mapping of function-level meta-compounds and corresponding functional relative abundances, reflecting imprinted genetic capacity of microbiomes to metabolize an array of different compounds. We show that measures of 'compound processing potential' associated with human health and disease (examining atherosclerotic cardiovascular disease, colorectal cancer, type 2 diabetes and anxious-depressive behavior case studies), and displayed seemingly predictable shifts along gradients of ecological disturbance in plant-soil ecosystems (three case studies). Ecosystem quality explained 60-92 % of variation in soil metagenome compound processing potential measures in a post-mining restoration case study dataset. With growing knowledge of the varying proficiency of environmental microbiota to process human health associated compounds, we might design environmental interventions or nature prescriptions to modulate our exposures, thereby advancing microbiota-oriented approaches to human health. Compound processing potential offers a simplified, integrative approach for applying metagenomics in ongoing efforts to understand and quantify the role of microbiota in environmental- and human-health.
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Affiliation(s)
- Craig Liddicoat
- College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.
| | - Robert A Edwards
- College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Michael Roach
- College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Jake M Robinson
- College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Kiri Joy Wallace
- Environmental Research Institute, University of Waikato, Hamilton, Aotearoa, New Zealand
| | - Andrew D Barnes
- Environmental Research Institute, University of Waikato, Hamilton, Aotearoa, New Zealand
| | - Joel Brame
- College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Anna Heintz-Buschart
- Swammerdam Institute for Life Sciences, University of Amsterdam, 1098 XH Amsterdam, the Netherlands
| | - Timothy R Cavagnaro
- College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Elizabeth A Dinsdale
- College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Michael P Doane
- College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Nico Eisenhauer
- German Centre for Integrative Biodiversity Research (iDiv), 04103 Leipzig, Germany; Institute of Biology, Leipzig University, 04103 Leipzig, Germany
| | - Grace Mitchell
- Environmental Research Institute, University of Waikato, Hamilton, Aotearoa, New Zealand; Manaaki Whenua - Landcare Research, Hamilton, Aotearoa, New Zealand
| | - Bibishan Rai
- Environmental Research Institute, University of Waikato, Hamilton, Aotearoa, New Zealand
| | - Sunita A Ramesh
- College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Martin F Breed
- College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
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3
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Xu JJ, Kan WJ, Wang TY, Li L, Zhang Y, Ge ZY, Xu JY, Yin ZJ, Feng Y, Wang G, Du J. Ganoderic acid A ameliorates depressive-like behaviors in CSDS mice: Insights from proteomic profiling and molecular mechanisms. J Affect Disord 2024; 358:270-282. [PMID: 38723681 DOI: 10.1016/j.jad.2024.05.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 05/03/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024]
Abstract
OBJECTIVE Ganoderic Acid A (GAA), a primary bioactive component in Ganoderma, has demonstrated ameliorative effects on depressive-like behaviors in a Chronic Social Defeat Stress (CSDS) mouse model. This study aims to elucidate the underlying molecular mechanisms through proteomic analysis. METHODS C57BL/6 J mice were allocated into control (CON), chronic social defeat stress (CSDS), GAA, and imipramine (IMI) groups. Post-depression induction via CSDS, the GAA and IMI groups received respective treatments of GAA (2.5 mg/kg) and imipramine (10 mg/kg) for five days. Behavioral assessments utilized standardized tests. Proteins from the prefrontal cortex were analyzed using LC-MS, with further examination via bioinformatics and PRM for differential expression. Western blot analysis confirmed protein expression levels. RESULTS Chronic social defeat stress (CSDS) induced depressive-like behaviors in mice, which were significantly alleviated by GAA treatment, comparably to imipramine (IMI). Proteomic analysis identified distinct proteins in control (305), GAA-treated (949), and IMI-treated (289) groups. Enrichment in mitochondrial and synaptic proteins was evident from GO and PPI analyses. PRM analysis revealed significant expression changes in proteins crucial for mitochondrial and synaptic functions (namely, Naa30, Bnip1, Tubgcp4, Atxn3, Carmil1, Nup37, Apoh, Mrpl42, Tprkb, Acbd5, Dcx, Erbb4, Ppp1r2, Fam3c, Rnf112, and Cep41). Western blot validation in the prefrontal cortex showed increased levels of Mrpl42, Dcx, Fam3c, Ppp1r2, Rnf112, and Naa30 following GAA treatment. CONCLUSION GAA exhibits potential antidepressant properties, with its action potentially tied to the modulation of synaptic functions and mitochondrial activities.
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Affiliation(s)
- Jin-Jie Xu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Wei-Jing Kan
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Tian-Yi Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Lei Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Yi Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Zi-Yu Ge
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Ji-Yi Xu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Zi-Jia Yin
- Harbin Medical University Daqing Campus, Heilongjiang 163319, China
| | - Yuan Feng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China.
| | - Jing Du
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China.
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4
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Sahay S, Pulvender P, Rami Reddy MVSR, McCullumsmith RE, O’Donovan SM. Metabolic Insights into Neuropsychiatric Illnesses and Ketogenic Therapies: A Transcriptomic View. Int J Mol Sci 2024; 25:8266. [PMID: 39125835 PMCID: PMC11312282 DOI: 10.3390/ijms25158266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 07/21/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024] Open
Abstract
The disruption of brain energy metabolism, leading to alterations in synaptic signaling, neural circuitry, and neuroplasticity, has been implicated in severe mental illnesses such as schizophrenia, bipolar disorder, and major depressive disorder. The therapeutic potential of ketogenic interventions in these disorders suggests a link between metabolic disturbances and disease pathology; however, the precise mechanisms underlying these metabolic disturbances, and the therapeutic effects of metabolic ketogenic therapy, remain poorly understood. In this study, we conducted an in silico analysis of transcriptomic data to investigate perturbations in metabolic pathways in the brain across severe mental illnesses via gene expression profiling. We also examined dysregulation of the same pathways in rodent or cell culture models of ketosis, comparing these expression profiles to those observed in the disease states. Our analysis revealed significant perturbations across all metabolic pathways, with the greatest perturbations in glycolysis, the tricarboxylic acid (TCA) cycle, and the electron transport chain (ETC) across all three disorders. Additionally, we observed some discordant gene expression patterns between disease states and ketogenic intervention studies, suggesting a potential role for ketone bodies in modulating pathogenic metabolic changes. Our findings highlight the importance of understanding metabolic dysregulation in severe mental illnesses and the potential therapeutic benefits of ketogenic interventions in restoring metabolic homeostasis. This study provides insights into the complex relationship between metabolism and neuropsychiatric disorders and lays the foundation for further experimental investigations aimed at appreciating the implications of the present transcriptomic findings as well as developing targeted therapeutic strategies.
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Affiliation(s)
- Smita Sahay
- Department of Neurosciences, University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA
| | - Priyanka Pulvender
- Department of Neurosciences, University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA
| | | | - Robert E. McCullumsmith
- Department of Neurosciences, University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA
- Department of Psychiatry, University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA
- Neuroscience Institute, ProMedica, Toledo, OH 43614, USA
| | - Sinead M. O’Donovan
- Department of Neurosciences, University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA
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5
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Bastawy EM, Eraslan IM, Voglsanger L, Suphioglu C, Walker AJ, Dean OM, Read JL, Ziemann M, Smith CM. Novel Insights into Changes in Gene Expression within the Hypothalamus in Two Asthma Mouse Models: A Transcriptomic Lung-Brain Axis Study. Int J Mol Sci 2024; 25:7391. [PMID: 39000495 PMCID: PMC11242700 DOI: 10.3390/ijms25137391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/28/2024] [Accepted: 07/01/2024] [Indexed: 07/16/2024] Open
Abstract
Patients with asthma experience elevated rates of mental illness. However, the molecular links underlying such lung-brain crosstalk remain ambiguous. Hypothalamic dysfunction is observed in many psychiatric disorders, particularly those with an inflammatory component due to many hypothalamic regions being unprotected by the blood-brain barrier. To gain a better insight into such neuropsychiatric sequelae, this study investigated gene expression differences in the hypothalamus following lung inflammation (asthma) induction in mice, using RNA transcriptome profiling. BALB/c mice were challenged with either bacterial lipopolysaccharide (LPS, E. coli) or ovalbumin (OVA) allergens or saline control (n = 7 per group), and lung inflammation was confirmed via histological examination of postmortem lung tissue. The majority of the hypothalamus was micro-dissected, and total RNA was extracted for sequencing. Differential expression analysis identified 31 statistically significant single genes (false discovery rate FDR5%) altered in expression following LPS exposure compared to controls; however, none were significantly changed following OVA treatment, suggesting a milder hypothalamic response. When gene sets were examined, 48 were upregulated and 8 were downregulated in both asthma groups relative to controls. REACTOME enrichment analysis suggests these gene sets are involved in signal transduction metabolism, immune response and neuroplasticity. Interestingly, we identified five altered gene sets directly associated with neurotransmitter signaling. Intriguingly, many of these altered gene sets can influence mental health and or/neuroinflammation in humans. These findings help characterize the links between asthma-induced lung inflammation and the brain and may assist in identifying relevant pathways and therapeutic targets for future intervention.
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Affiliation(s)
- Eslam M Bastawy
- Faculty of Health, School of Medicine, Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong 3216, Australia
| | - Izel M Eraslan
- Faculty of Health, School of Medicine, Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong 3216, Australia
| | - Lara Voglsanger
- Faculty of Health, School of Medicine, Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong 3216, Australia
| | - Cenk Suphioglu
- Faculty of Science, Engineering and Built Environment, School of Life and Environmental Sciences, Deakin University, Geelong 3216, Australia
| | - Adam J Walker
- Faculty of Health, School of Medicine, Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong 3216, Australia
| | - Olivia M Dean
- Faculty of Health, School of Medicine, Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong 3216, Australia
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Melbourne 3052, Australia
| | - Justin L Read
- Faculty of Health, School of Medicine, Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong 3216, Australia
| | - Mark Ziemann
- Faculty of Science, Engineering and Built Environment, School of Life and Environmental Sciences, Deakin University, Geelong 3216, Australia
- Burnet Institute, Melbourne 3004, Australia
| | - Craig M Smith
- Faculty of Health, School of Medicine, Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong 3216, Australia
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Deng Q, Parker E, Wu C, Zhu L, Liu TCY, Duan R, Yang L. Repurposing Ketamine in the Therapy of Depression and Depression-Related Disorders: Recent Advances and Future Potential. Aging Dis 2024:AD.2024.0239. [PMID: 38916735 DOI: 10.14336/ad.2024.0239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 04/29/2024] [Indexed: 06/26/2024] Open
Abstract
Depression represents a prevalent and enduring mental disorder of significant concern within the clinical domain. Extensive research indicates that depression is very complex, with many interconnected pathways involved. Most research related to depression focuses on monoamines, neurotrophic factors, the hypothalamic-pituitary-adrenal axis, tryptophan metabolism, energy metabolism, mitochondrial function, the gut-brain axis, glial cell-mediated inflammation, myelination, homeostasis, and brain neural networks. However, recently, Ketamine, an ionotropic N-methyl-D-aspartate (NMDA) receptor antagonist, has been discovered to have rapid antidepressant effects in patients, leading to novel and successful treatment approaches for mood disorders. This review aims to summarize the latest findings and insights into various signaling pathways and systems observed in depression patients and animal models, providing a more comprehensive view of the neurobiology of anxious-depressive-like behavior. Specifically, it highlights the key mechanisms of ketamine as a rapid-acting antidepressant, aiming to enhance the treatment of neuropsychiatric disorders. Moreover, we discuss the potential of ketamine as a prophylactic or therapeutic intervention for stress-related psychiatric disorders.
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Affiliation(s)
- Qianting Deng
- College of Physical Education and Sport Science, South China Normal University, Guangzhou, China
| | - Emily Parker
- Medical College of Georgia at Augusta University, Augusta, GA 30912, USA
| | - Chongyun Wu
- College of Physical Education and Sport Science, South China Normal University, Guangzhou, China
| | - Ling Zhu
- College of Physical Education and Sport Science, South China Normal University, Guangzhou, China
| | - Timon Cheng-Yi Liu
- College of Physical Education and Sport Science, South China Normal University, Guangzhou, China
| | - Rui Duan
- College of Physical Education and Sport Science, South China Normal University, Guangzhou, China
| | - Luodan Yang
- College of Physical Education and Sport Science, South China Normal University, Guangzhou, China
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Chen H, Wang J, Chen S, Chen X, Liu J, Tang H, Zhou J, Tian Y, Wang X, Cao X, Zhou J. Abnormal energy metabolism, oxidative stress, and polyunsaturated fatty acid metabolism in depressed adolescents associated with childhood maltreatment: A targeted metabolite analysis. Psychiatry Res 2024; 335:115795. [PMID: 38460351 DOI: 10.1016/j.psychres.2024.115795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 02/08/2024] [Accepted: 02/11/2024] [Indexed: 03/11/2024]
Abstract
The purpose of this study was to explore the metabolomic differences between Major depressive disorder (MDD) and healthy individuals among adolescents and the association between childhood maltreatment (CM) and differentially abundant metabolites. The exploratory study included 40 first-episode drug-naïve adolescents with MDD and 20 healthy volunteers. We used the Beck Depression Inventory (BDI-13) to assess the severity of depression and the Childhood Trauma Questionnaire (CTQ) to assess the presence of childhood maltreatment. The plasma samples from all participants were collected for targeted metabolomics analysis using ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC‒MS/MS) methods. Spearman correlation was applied to analyse the correlations between clinical variables and metabolites. We found 11 increased metabolites and 37 decreased metabolites that differed between adolescents with MDD and healthy individuals. Pathway enrichment analysis of differentially abundant metabolites showed abnormalities in energy metabolism and oxidative stress in MDD. Importantly, we found that creatine, valine, isoleucine, glutamic acid and pyroglutamic acid were negatively correlated with the BDI-13, while isocitric acid, fatty acid and acylcarnitine were negatively associated with CTQ, and 4-hydroxyproline was positively related to CTQ in adolescents with MDD. These studies provide new ideas for the pathogenesis and potential treatment of adolescents with MDD.
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Affiliation(s)
- Hui Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Jinfeng Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Shurui Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Xianliang Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Jiali Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Huajia Tang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Jiawei Zhou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Yusheng Tian
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Xiaoping Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Xia Cao
- Health Management Center, Health Management Research Center of Central South University, The Third Xiangya Hospital, Central South University, Hunan Province, 410013, China.
| | - Jiansong Zhou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
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8
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Zhang X, Valeri J, Eladawi MA, Gisabella B, Garrett MR, Vallender EJ, McCullumsmith R, Pantazopoulos H, O’Donovan SM. Differentially Altered Metabolic Pathways in the Amygdala of Subjects with Schizophrenia, Bipolar Disorder and Major Depressive Disorder. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.17.24305854. [PMID: 38699334 PMCID: PMC11065019 DOI: 10.1101/2024.04.17.24305854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Background and hypothesis A growing number of studies implicate a key role for metabolic processes in psychiatric disorders. Recent studies suggest that ketogenic diet may be therapeutically effective for subgroups of people with schizophrenia (SCZ), bipolar disorder (BPD) and possibly major depressive disorder (MDD). Despite this promise, there is currently limited information regarding brain energy metabolism pathways across these disorders, limiting our understanding of how brain metabolic pathways are altered and who may benefit from ketogenic diets. We conducted gene expression profiling on the amygdala, a key region involved in in the regulation of mood and appetitive behaviors, to test the hypothesis that amygdala metabolic pathways are differentially altered between these disorders. Study Design We used a cohort of subjects diagnosed with SCZ, BPD or MDD, and non-psychiatrically ill control subjects (n=15/group), together with our bioinformatic 3-pod analysis consisting of full transcriptome pathway analysis, targeted pathway analysis, leading-edge gene analysis and iLINCS perturbagen analysis. Study Results We identified differential expression of metabolic pathways in each disorder. Subjects with SCZ displayed downregulation of mitochondrial respiration and nucleotide metabolism pathways. In comparison, we observed upregulation of mitochondrial respiration pathways in subjects with MDD, while subjects with BPD displayed enrichment of pathways involved in carbohydrate metabolism. Several pathways associated with brain metabolism including immune system processes and calcium ion transport were also differentially altered between diagnosis groups. Conclusion Our findings suggest metabolic pathways are differentially altered in the amygdala in these disorders, which may impact approaches for therapeutic strategies.
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Affiliation(s)
- Xiaolu Zhang
- Department of Microbiology and Immunology, Louisiana State University Health Sciences Center, Shreveport, LA
| | - Jake Valeri
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS
- Program in Neuroscience, University of Mississippi Medical Center, Jackson, MS
| | | | - Barbara Gisabella
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS
- Program in Neuroscience, University of Mississippi Medical Center, Jackson, MS
| | - Michael R. Garrett
- Department of Cell and Molecular Biology, University of Mississippi Medical Center, Jackson, MS
| | - Eric J Vallender
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS
- Program in Neuroscience, University of Mississippi Medical Center, Jackson, MS
| | - Robert McCullumsmith
- Department of Neurosciences, University of Toledo, Toledo, OH
- Promedica Neuroscience Institute, Toledo, OH
| | - Harry Pantazopoulos
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS
- Program in Neuroscience, University of Mississippi Medical Center, Jackson, MS
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9
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Carrier M, Hui CW, Watters V, Šimončičová E, Picard K, González Ibáñez F, Vernoux N, Droit A, Desjardins M, Tremblay MÈ. Behavioral as well as hippocampal transcriptomic and microglial responses differ across sexes in adult mouse offspring exposed to a dual genetic and environmental challenge. Brain Behav Immun 2024; 116:126-139. [PMID: 38016491 DOI: 10.1016/j.bbi.2023.11.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 10/15/2023] [Accepted: 11/23/2023] [Indexed: 11/30/2023] Open
Abstract
INTRODUCTION A wide range of positive, negative, and cognitive symptoms compose the clinical presentation of schizophrenia. Schizophrenia is a multifactorial disorder in which genetic and environmental risk factors interact for a full emergence of the disorder. Infectious challenges during pregnancy are a well-known environmental risk factor for schizophrenia. Also, genetic variants affecting the function of fractalkine signaling between neurons and microglia were linked to schizophrenia. Translational animal models recapitulating these complex gene-environment associations have a great potential to untangle schizophrenia neurobiology and propose new therapeutic strategies. METHODS Given that genetic variants affecting the function of fractalkine signaling between neurons and microglia were linked to schizophrenia, we compared the outcomes of a well-characterized model of maternal immune activation induced using the viral mimetic polyinosinic:polycytidylic acid (Poly I:C) in wild-type versus fractalkine receptor knockout mice. Possible behavioral and immune alterations were assessed in male and female offspring during adulthood. Considering the role of the hippocampus in schizophrenia, microglial analyses and bulk RNA sequencing were performed within this region to assess the neuroimmune dynamics at play. Males and females were examined separately. RESULTS Offspring exposed to the dual challenge paradigm exhibited symptoms relevant to schizophrenia and unpredictably to mood disorders. Males displayed social and cognitive deficits related to schizophrenia, while females mainly presented anxiety-like behaviors related to mood disorders. Hippocampal microglia in females exposed to the dual challenge were hypertrophic, indicative of an increased surveillance, whereas those in males showed on the other end of the spectrum blunted morphologies with a reduced phagocytosis. Hippocampal bulk-RNA sequencing further revealed a downregulation in females of genes related to GABAergic transmission, which represents one of the main proposed causes of mood disorders. CONCLUSIONS Building on previous results, we identified in the current study distinctive behavioral phenotypes in female mice exposed to a dual genetic and environmental challenge, thus proposing a new model of neurodevelopmentally-associated mood and affective symptoms. This paves the way to future sex-specific investigations into the susceptibility to developmental challenges using animal models based on genetic and immune vulnerability as presented here.
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Affiliation(s)
- Micaël Carrier
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada; Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Québec City, QC, Canada; Centre de recherche du CHU de Québec-Université Laval, Québec City, QC, Canada
| | - Chin W Hui
- Centre de recherche du CHU de Québec-Université Laval, Québec City, QC, Canada
| | - Valérie Watters
- Centre de recherche du CHU de Québec-Université Laval, Québec City, QC, Canada
| | - Eva Šimončičová
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | - Katherine Picard
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada; Centre de recherche du CHU de Québec-Université Laval, Québec City, QC, Canada; Département de médecine moléculaire, Faculté de médecine, Université Laval, Québec City, QC, Canada
| | - Fernando González Ibáñez
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada; Centre de recherche du CHU de Québec-Université Laval, Québec City, QC, Canada; Département de médecine moléculaire, Faculté de médecine, Université Laval, Québec City, QC, Canada
| | - Nathalie Vernoux
- Centre de recherche du CHU de Québec-Université Laval, Québec City, QC, Canada
| | - Arnaud Droit
- Centre de recherche du CHU de Québec-Université Laval, Québec City, QC, Canada; Département de médecine moléculaire, Faculté de médecine, Université Laval, Québec City, QC, Canada
| | - Michèle Desjardins
- Department of Physics, Physical Engineering and Optics, Université Laval, Québec City, QC, Canada; Oncology Axis, Centre de Recherche du CHU de Québec, Université Laval, Québec City, QC, Canada
| | - Marie-Ève Tremblay
- Department of Biochemistry and Molecular Biology, The University of British Columbia, Vancouver, BC, Canada; Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada; Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, BC, Canada.
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10
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Zu X, Xin J, Xie H, Xu X, Shen Y, Wang J, Tian S, Wen Y, Li H, Yang J, Fang Y. Characteristics of gut microbiota and metabolic phenotype in patients with major depressive disorder based on multi-omics analysis. J Affect Disord 2024; 344:563-576. [PMID: 37863362 DOI: 10.1016/j.jad.2023.10.104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 09/13/2023] [Accepted: 10/15/2023] [Indexed: 10/22/2023]
Abstract
Depression is a chronic, relapsing mental illness, often accompanied by loss of appetite, increased fatigue, insomnia and poor concentration. Here, we performed serum and urine metabolomics and fecal 16S rDNA sequencing studies on 57 unmedicated patients with major depressive disorder (MDD) and 57 healthy controls to characterize the metabolic and flora profile of MDD patients. We observed significant differences in serum and urinary metabolome between MDD patients and healthy individuals. Specifically, glycerophospholipid metabolism, primary bile acid biosynthesis and linoleic acid metabolism were significantly disordered in serum, and aminoacyl-tRNA biosynthesis, arginine biosynthesis, purine metabolism, phenylalanine metabolism, alanine, aspartate and glutamate metabolism, and pyrimidine metabolism were significantly impaired in urine. On this basis, we identified four potential diagnostic biomarkers for carnitine and four fatty acid classes in serum and urine, respectively. In addition, we observed significant disturbances of the gut microbiota in MDD patients. Spearman correlation analysis showed that imbalances in the gut microbiota were associated with metabolic disturbances, suggesting an important role of the gut microbiota in the pathogenesis of MDD. Our study provides a theoretical basis for further understanding of the pathogenesis of depression and for future clinical diagnosis and screening, as well as a basis for targeting the gut flora to optimize its structure for the prevention and treatment of depression.
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Affiliation(s)
- Xianpeng Zu
- School of Pharmacy, Naval Medical University, Shanghai 200433, China
| | - Jiayun Xin
- School of Pharmacy, Naval Medical University, Shanghai 200433, China; School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Haisheng Xie
- School of Pharmacy, Naval Medical University, Shanghai 200433, China
| | - Xike Xu
- School of Pharmacy, Naval Medical University, Shanghai 200433, China
| | - Yunheng Shen
- School of Pharmacy, Naval Medical University, Shanghai 200433, China
| | - Jinxin Wang
- School of Pharmacy, Naval Medical University, Shanghai 200433, China
| | - Saisai Tian
- School of Pharmacy, Naval Medical University, Shanghai 200433, China
| | - Yukun Wen
- Department of Diving and Hyperbaric Medical Research, Naval Medical Center, Naval Medical University, Shanghai 200433, China
| | - Hongxia Li
- Department of Nutrition and Food Hygiene, Faculty of Naval Medicine, Naval Medical University, China.
| | - Jishun Yang
- Medical Security Center, Naval Medical Center, Naval Medical University, Shanghai 200433, China.
| | - Yiqun Fang
- Department of Diving and Hyperbaric Medical Research, Naval Medical Center, Naval Medical University, Shanghai 200433, China.
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11
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Konjevod M, Gredicak M, Vuic B, Tudor L, Nikolac Perkovic M, Milos T, Svob Strac D, Pivac N, Nedic Erjavec G. Overview of metabolomic aspects in postpartum depression. Prog Neuropsychopharmacol Biol Psychiatry 2023; 127:110836. [PMID: 37541332 DOI: 10.1016/j.pnpbp.2023.110836] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/06/2023]
Abstract
Along with the typical biochemical alterations that occur during pregnancy, certain metabolic changes might be associated with the development of several psychiatric disorders, including postpartum depression (PPD), which is the most common type of psychiatric disorder during pregnancy or first postpartum year, and it develops in about 15% of women. Metabolomics is a rapidly developing discipline that deals with the metabolites as the final products of all genetically controlled biochemical pathways, highly influenced by external and internal changes. The aim of this paper was to review the published studies whose results suggest or deny a possible association between the fine regulation of the metabolome and PPD, enabling conclusions about whether metabolomics could be a useful tool in defining the biochemical pathways directly involved in the etiology, diagnosis and course of PPD. Beside numerous hormonal changes, a lot of different metabolic pathways have been discovered to be affected in women with PPD or associated with its development, including alterations in the energy metabolism, tryptophan and amino acid metabolism, steroid metabolism, purine cycle, as well as neurotransmitter metabolism. Additionally, metabolomics helped in defining the association between PPD and the exposure to various endocrine disrupting metabolites during pregnancy. Finally, metabolome reflects different PPD therapies and exposure of fetus or breastfed infants to pharmacotherapy prescribed to a mother suffering from PPD. This review can help in creating the picture about metabolomics' broad application in PPD studies, but it also implies that its potential is still not completely used.
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Affiliation(s)
| | - Martin Gredicak
- General Hospital Zabok and Hospital for the Croatian Veterans, Bracak 8, p.p. 36, 49210 Zabok, Croatia
| | - Barbara Vuic
- Rudjer Boskovic Institute, Bijenicka 54, 10000 Zagreb, Croatia.
| | - Lucija Tudor
- Rudjer Boskovic Institute, Bijenicka 54, 10000 Zagreb, Croatia.
| | | | - Tina Milos
- Rudjer Boskovic Institute, Bijenicka 54, 10000 Zagreb, Croatia.
| | | | - Nela Pivac
- Rudjer Boskovic Institute, Bijenicka 54, 10000 Zagreb, Croatia; University of Applied Sciences Hrvatsko Zagorje Krapina, Setaliste hrvatskog narodnog preporoda 6, 49000 Krapina, Croatia.
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12
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Selçuk B, Aksu T, Dereli O, Adebali O. Downregulated NPAS4 in multiple brain regions is associated with major depressive disorder. Sci Rep 2023; 13:21596. [PMID: 38062059 PMCID: PMC10703936 DOI: 10.1038/s41598-023-48646-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
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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Affiliation(s)
- Berkay Selçuk
- Molecular Biology, Genetics and Bioengineering Program, Faculty of Engineering and Natural Sciences, Sabanci University, 34956, Istanbul, Turkey
| | - Tuana Aksu
- Molecular Biology, Genetics and Bioengineering Program, Faculty of Engineering and Natural Sciences, Sabanci University, 34956, Istanbul, Turkey
| | - Onur Dereli
- Molecular Biology, Genetics and Bioengineering Program, Faculty of Engineering and Natural Sciences, Sabanci University, 34956, Istanbul, Turkey
| | - Ogün Adebali
- Molecular Biology, Genetics and Bioengineering Program, Faculty of Engineering and Natural Sciences, Sabanci University, 34956, Istanbul, Turkey.
- TÜBİTAK Research Institute for Fundamental Sciences, 41470, Gebze, Turkey.
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13
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McNaughton BA, Burrows K, Choquette E, Poplin T, Kuplicki R, Paulus MP, Ironside M, Stewart JL. Impaired eating behaviors but intact metabolic hormone levels in individuals with major depressive disorder and generalized anxiety disorder. J Psychiatr Res 2023; 168:193-203. [PMID: 37918032 PMCID: PMC10842703 DOI: 10.1016/j.jpsychires.2023.10.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 10/23/2023] [Accepted: 10/25/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Major depressive disorder (MDD) and generalized anxiety disorder (GAD) contribute significantly to global health burdens. Identifying disease markers for these comorbid disorders can increase understanding of pathogenesis and improve screening and intervention strategies. This study examined the association of physical health factors with MDD and MDD + GAD, across sexes. METHODS Two samples of participants from the Tulsa-1000 study (exploratory cohort: N = 136; confirmatory cohort: N = 185) completed body composition measurements, eating behavior (Three Factor Eating Questionnaire [TFEQ], Eating Disorder Diagnostic Scale [EDDS]), exercise questionnaires, and a blood draw. Metabolic hormone concentrations (leptin, insulin, and adiponectin) were analyzed from blood samples. Within each cohort, a two-way analysis of variance compared three groups (MDD, MDD + GAD, and healthy controls [HC]), sex, and their interaction on dependent variables. Hedges g was calculated to reflect effect size magnitude. RESULTS Medium-to-large group main effects across cohorts indicated that compared to HC: (1) MDD (g = 1.71/0.57) and MDD + GAD (g = 0.93/0.69) reported higher TFEQ Disinhibition scores; (2) MDD endorsed higher TFEQ Hunger scores (g = 0.66/0.48); and (3) MDD (g = 1.60/1.30) and MDD + GAD (g = 0.92/1.72) reported greater EDDS scores. Large sex main effects across cohorts indicated that females exhibited higher levels than males for percent body fat (g = 1.07/1.17), leptin (g = 1.27/1.12), and adiponectin (g=0.82/0.88). LIMITATIONS The power to detect group*sex interactions was limited due to a greater number of females (than males) in the study, and over half of clinical participants were taking medications. CONCLUSIONS Individuals with MDD and MDD + GAD demonstrate difficulties in regulating eating behaviors, potentially contributing to functional impairment and increased disease burden.
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Affiliation(s)
| | | | | | - Tate Poplin
- Laureate Institute of Brain Research, Tulsa, OK, USA
| | | | - Martin P Paulus
- Laureate Institute of Brain Research, Tulsa, OK, USA; The University of Tulsa, Tulsa, OK, USA
| | - Maria Ironside
- Laureate Institute of Brain Research, Tulsa, OK, USA; The University of Tulsa, Tulsa, OK, USA
| | - Jennifer L Stewart
- Laureate Institute of Brain Research, Tulsa, OK, USA; The University of Tulsa, Tulsa, OK, USA.
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14
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Mehdi S, Wani SUD, Krishna K, Kinattingal N, Roohi TF. A review on linking stress, depression, and insulin resistance via low-grade chronic inflammation. Biochem Biophys Rep 2023; 36:101571. [PMID: 37965066 PMCID: PMC10641573 DOI: 10.1016/j.bbrep.2023.101571] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 10/09/2023] [Accepted: 10/29/2023] [Indexed: 11/16/2023] Open
Abstract
Stress is a disturbance in homeostasis caused by psychological, physiological, or environmental factors. Prolonged reactions to chronic stress can be detrimental, resulting in various metabolic abnormalities, referred to as metabolic syndrome (MS). There is a reciprocal increased risk between MS and major depressive disorder. Recent studies established an association between inflammation and insulin signaling in type 2 diabetes mellitus with depression. In the present review, we discuss chronic low-grade inflammation, pathways of insulin resistance, and brain glucose metabolism in the context of neuroinflammation and depression. Specific attention is given to psychotropic drugs such as bupropion, mirtazapine, and nefazodone, anti-inflammatory drugs like Celecoxib (COX-2 inhibitor), Etanercept, adalimumab, IL-4Ra antagonist, Anti-IL- 17A antibody (Ixekizumab) and lifestyle modifications including exercise, dietary changes, and sleep hygiene. These therapeutic solutions offer potential in treating depression by targeting metabolic conditions like insulin resistance and inflammatory pathways. The article further explains the significance of a nutrition and antioxidants-rich diet, emphasizing the role of omega-3 fatty acids, vitamin D, zinc, and polyphenols, to improve immunity and activate anti-inflammatory signaling pathways.
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Affiliation(s)
- Seema Mehdi
- Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysore, 570 015, India
| | - Shahid Ud Din Wani
- Department of Pharmaceutical Sciences, School of Applied Sciences and Technology, University of Kashmir, Srinagar, 190006, India
| | - K.L. Krishna
- Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysore, 570 015, India
| | - Nabeel Kinattingal
- Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysore, 570 015, India
| | - Tamsheel Fatima Roohi
- Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysore, 570 015, India
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15
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Liu Y, Lv B, Tang K, Qu H, Yu F, Shi Y. Si-Ni-San reverses dietary fat absorption defects in a murine model of depression. Biomed Pharmacother 2023; 168:115677. [PMID: 37857252 DOI: 10.1016/j.biopha.2023.115677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 10/06/2023] [Accepted: 10/06/2023] [Indexed: 10/21/2023] Open
Abstract
Depression is often associated with fatigue/energy loss. However, we lack a detailed understanding of the factors explaining this association. In this study, we uncovered that depressed mice have a defect in fat absorption, resulting in weight loss and reduced circulating lipid levels. Si-Ni-San (SNS), a basic formula of traditional Chinese medicine (TCM) for the treatment of depression, was found to not only alleviate depression-like behaviors, but also reverse the weight loss and dietary fat absorption of depressed mice. We found that SNS improved body weight and circulating lipid levels of depressed mice by up-regulating proteins [such as FFA uptake protein (CD36), TAG synthesis proteins (GPAT3, MOGAT2, DGAT1 and DGAT2) and chylomicron packaging proteins (MTP and APOB)] in the fat absorption pathway. Furthermore, cell-based results conducted with LPS-stimulated mouse MODE-K and human Caco-2 cells support that SNS, as well as Sinensetin (SIN) and Nobiletin (NOB), the two active components of the formula, have a role in regulating lipid absorption. Mechanistic studies revealed that SNS reverses body weight and fat absorption defects of depressed mice in part through the NR1D1/BMAL1/DGAT2 axis. These findings advance our understanding of the crosstalk between depression and energy loss, highlight the importance of gut function in disease management, and provide a basis for the application of SNS in the clinical treatment of depression and related disorders.
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Affiliation(s)
- Yuanyuan Liu
- School of Fundamental Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Baojiang Lv
- School of Fundamental Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Kanran Tang
- School of Fundamental Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Haotian Qu
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Fangjun Yu
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
| | - Yafei Shi
- School of Fundamental Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
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Liu M, Ma W, He Y, Sun Z, Yang J. Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research. Molecules 2023; 28:7430. [PMID: 37959849 PMCID: PMC10647556 DOI: 10.3390/molecules28217430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/24/2023] [Accepted: 11/02/2023] [Indexed: 11/15/2023] Open
Abstract
Major depressive disorder (MDD) is a serious mental illness with a heavy social burden, but its underlying molecular mechanisms remain unclear. Mass spectrometry (MS)-based metabolomics is providing new insights into the heterogeneous pathophysiology, diagnosis, treatment, and prognosis of MDD by revealing multi-parametric biomarker signatures at the metabolite level. In this comprehensive review, recent developments of MS-based metabolomics in MDD research are summarized from the perspective of analytical platforms (liquid chromatography-MS, gas chromatography-MS, supercritical fluid chromatography-MS, etc.), strategies (untargeted, targeted, and pseudotargeted metabolomics), key metabolite changes (monoamine neurotransmitters, amino acids, lipids, etc.), and antidepressant treatments (both western and traditional Chinese medicines). Depression sub-phenotypes, comorbid depression, and multi-omics approaches are also highlighted to stimulate further advances in MS-based metabolomics in the field of MDD research.
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Affiliation(s)
- Mingxia Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; (M.L.)
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Wen Ma
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Yi He
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; (M.L.)
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Zuoli Sun
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; (M.L.)
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Jian Yang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; (M.L.)
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
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Li Y, Zhang B, Liu Z, Wang R. Neural energy computations based on Hodgkin-Huxley models bridge abnormal neuronal activities and energy consumption patterns of major depressive disorder. Comput Biol Med 2023; 166:107500. [PMID: 37797488 DOI: 10.1016/j.compbiomed.2023.107500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/07/2023] [Accepted: 09/15/2023] [Indexed: 10/07/2023]
Abstract
Limited by the current experimental techniques and neurodynamical models, the dysregulation mechanisms of decision-making related neural circuits in major depressive disorder (MDD) are still not clear. In this paper, we proposed a neural coding methodology using energy to further investigate it, which has been proven to strongly complement the neurodynamical methodology. We augmented the previous neural energy calculation method, and applied it to our VTA-NAc-mPFC neurodynamical H-H models. We particularly focused on the peak power and energy consumption of abnormal ion channel (ionic) currents under different concentrations of dopamine input, and investigated the abnormal energy consumption patterns for the MDD group. The results revealed that the energy consumption of medium spiny neurons (MSNs) in the NAc region were lower in the MDD group than that of the normal control group despite having the same firing frequencies, peak action potentials, and average membrane potentials in both groups. Dopamine concentration was also positively correlated with the energy consumption of the pyramidal neurons, but the patterns of different interneuron types were distinct. Additionally, the ratio of mPFC's energy consumption to total energy consumption of the whole network in MDD group was lower than that in normal control group, revealing that the mPFC region in MDD group encoded less neural information, which matched the energy consumption patterns of BOLD-fMRI results. It was also in line with the behavioral characteristics that MDD patients demonstrated in the form of reward insensitivity during decision-making tasks. In conclusion, the model in this paper was the first neural network energy computational model for MDD, which showed success in explaining its dynamical mechanisms with an energy consumption perspective. To build on this, we demonstrated that energy consumption levels can be used as a potential indicator for MDD, which also showed a promising pipeline to use an energy methodology for studying other neuropsychiatric disorders.
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Affiliation(s)
- Yuanxi Li
- Institute for Cognitive Neurodynamics, School of Mathematics, East China University of Science and Technology, Shanghai, China; Department of Neurology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
| | - Bing Zhang
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Zhiqiang Liu
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China; Anesthesia and Brain Function Research Institute, Tongji University School of Medicine, Shanghai, China.
| | - Rubin Wang
- Institute for Cognitive Neurodynamics, School of Mathematics, East China University of Science and Technology, Shanghai, China.
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Qin Y, Zhang XY, Liu Y, Ma Z, Tao S, Li Y, Peng R, Wang F, Wang J, Feng J, Qiu Z, Jin L, Wang H, Gong X. Downregulation of mGluR1-mediated signaling underlying autistic-like core symptoms in Shank1 P1812L-knock-in mice. Transl Psychiatry 2023; 13:329. [PMID: 37880287 PMCID: PMC10600164 DOI: 10.1038/s41398-023-02626-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 09/16/2023] [Accepted: 10/06/2023] [Indexed: 10/27/2023] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by core symptoms that consist of social deficits and repetitive behaviors. Unfortunately, no effective medication is available thus far to target the core symptoms of ASD, since the pathogenesis remains largely unknown. To investigate the pathogenesis of the core symptoms in ASD, we constructed Shank1 P1812L-knock-in (KI) mice corresponding to a recurrent ASD-related mutation, SHANK1 P1806L, to achieve construct validity and face validity. Shank1 P1812L-KI heterozygous (HET) mice presented with social deficits and repetitive behaviors without the presence of confounding comorbidities. HET mice also exhibited downregulation of metabotropic glutamate receptor (mGluR1) and associated signals, along with structural abnormalities in the dendritic spines and postsynaptic densities. Combined with findings from Shank1 R882H-KI mice, our study confirms that mGluR1-mediated signaling dysfunction is a pivotal mechanism underlying the core symptoms of ASD. Interestingly, Shank1 P1812L-KI homozygous (HOM) mice manifested behavioral signs of impaired long-term memory rather than autistic-like core traits; thus, their phenotype was markedly different from that of Shank1 P1812L-KI HET mice. Correspondingly, at the molecular level, Shank1 P1812L-KI HOM displayed upregulation of AMPA receptor (GluA2)-related signals. The different patterns of protein changes in HOM and HET mice may explain the differences in behaviors. Our study emphasizes the universality of mGluR1-signaling hypofunction in the pathogenesis of the core symptoms in ASD, providing a potential target for therapeutic drugs. The precise correspondence between genotype and phenotype, as shown in HOM and HET mice, indicates the importance of reproducing disease-related genotypes in mouse models.
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Affiliation(s)
- Yue Qin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Xiao-Yong Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Yanyan Liu
- School of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China
- Institute of Integrated Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Hefei, China
| | - Zehan Ma
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Shuo Tao
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Ying Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Rui Peng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Fei Wang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Jianfeng Feng
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- School of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, China
| | - Zilong Qiu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Hongyan Wang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
| | - Xiaohong Gong
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
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Acosta J, Crespo MT, Plano SA, Golombek DA, Chiesa JJ, Agostino PV. Chronic jet lag reduces motivation and affects other mood-related behaviors in male mice. Front Physiol 2023; 14:1225134. [PMID: 37745237 PMCID: PMC10511878 DOI: 10.3389/fphys.2023.1225134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 08/24/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction: The circadian system regulates various physiological processes such as sleep-wake cycles, hormone secretion, metabolism, and the reaction to both natural and drug-based rewards. Chronic disruption of the circadian system caused by unsteady synchronization with light-dark (LD) schedules, such as advancing chronic jet lag (CJL), leads to adverse physiological effects and pathologies, and is linked with changes in mood and depressive behaviors in humans and rodent models. Methods: C57BL/6J male mice were subjected to circadian disruption through phase advances of 6 h every 2 days (CJL +6/2). Mice under 12:12-h LD cycle were used as controls. After 8 weeks under these conditions, a battery of behavioral tests was performed to assess if mood-related behaviors were affected. Results: Compared to controls under 24 h LD cycles, mice under CJL presented desynchronization of activity-rest rhythms that led to several behavioral impairments, including a decrease in motivation for food reward, and an increase in anxiety, anhedonia, and depressive-like behavior. Conclusion: Chronic circadian disruption, caused by an experimental CJL protocol, affects mood-related and reward-related behaviors in mice. Understanding the importance of the circadian system and its potential role for disruption due to CJL is important for maintaining good health and well-being.
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Affiliation(s)
- Julieta Acosta
- Department of Science and Technology, Universidad Nacional de Quilmes/CONICET, Buenos Aires, Argentina
| | - Manuel T. Crespo
- Department of Science and Technology, Universidad Nacional de Quilmes/CONICET, Buenos Aires, Argentina
| | - Santiago A. Plano
- Institute for Biomedical Research (BIOMED), Universidad Católica Argentina (UCA)/CONICET, Buenos Aires, Argentina
| | - Diego A. Golombek
- Department of Science and Technology, Universidad Nacional de Quilmes/CONICET, Buenos Aires, Argentina
- Laboratorio Interdisciplinario del Tiempo (LITERA), Universidad de San Andrés/CONICET, Buenos Aires, Argentina
| | - Juan J. Chiesa
- Department of Science and Technology, Universidad Nacional de Quilmes/CONICET, Buenos Aires, Argentina
| | - Patricia V. Agostino
- Department of Science and Technology, Universidad Nacional de Quilmes/CONICET, Buenos Aires, Argentina
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20
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Zhang YM, Qi YB, Gao YN, Chen WG, Zhou T, Zang Y, Li J. Astrocyte metabolism and signaling pathways in the CNS. Front Neurosci 2023; 17:1217451. [PMID: 37732313 PMCID: PMC10507181 DOI: 10.3389/fnins.2023.1217451] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 08/18/2023] [Indexed: 09/22/2023] Open
Abstract
Astrocytes comprise half of the cells in the central nervous system and play a critical role in maintaining metabolic homeostasis. Metabolic dysfunction in astrocytes has been indicated as the primary cause of neurological diseases, such as depression, Alzheimer's disease, and epilepsy. Although the metabolic functionalities of astrocytes are well known, their relationship to neurological disorders is poorly understood. The ways in which astrocytes regulate the metabolism of glucose, amino acids, and lipids have all been implicated in neurological diseases. Metabolism in astrocytes has also exhibited a significant influence on neuron functionality and the brain's neuro-network. In this review, we focused on metabolic processes present in astrocytes, most notably the glucose metabolic pathway, the fatty acid metabolic pathway, and the amino-acid metabolic pathway. For glucose metabolism, we focused on the glycolysis pathway, pentose-phosphate pathway, and oxidative phosphorylation pathway. In fatty acid metabolism, we followed fatty acid oxidation, ketone body metabolism, and sphingolipid metabolism. For amino acid metabolism, we summarized neurotransmitter metabolism and the serine and kynurenine metabolic pathways. This review will provide an overview of functional changes in astrocyte metabolism and provide an overall perspective of current treatment and therapy for neurological disorders.
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Affiliation(s)
- Yong-mei Zhang
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ying-bei Qi
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ya-nan Gao
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Wen-gang Chen
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Ting Zhou
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yi Zang
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jia Li
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, Jiangsu, China
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21
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Brivio P, Audano M, Gallo MT, Miceli E, Gruca P, Lason M, Litwa E, Fumagalli F, Papp M, Mitro N, Calabrese F. Venlafaxine's effect on resilience to stress is associated with a shift in the balance between glucose and fatty acid utilization. Neuropsychopharmacology 2023; 48:1475-1483. [PMID: 37380799 PMCID: PMC10425382 DOI: 10.1038/s41386-023-01633-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 05/29/2023] [Accepted: 06/13/2023] [Indexed: 06/30/2023]
Abstract
Brain metabolism is a fundamental process involved in the proper development of the central nervous system and in the maintenance of the main higher functions in humans. As consequence, energy metabolism imbalance has been commonly associated to several mental disorders, including depression. Here, by employing a metabolomic approach, we aimed to establish if differences in energy metabolite concentration may underlie the vulnerability and resilience in an animal model of mood disorder named chronic mild stress (CMS) paradigm. In addition, we have investigated the possibility that modulation of metabolite concentration may represent a pharmacological target for depression by testing whether repeated treatment with the antidepressant venlafaxine may normalize the pathological phenotype by acting at metabolic level. The analyses were conducted in the ventral hippocampus (vHip) for its key role in the modulation of anhedonia, a core symptom of patients affected by depression. Interestingly, we showed that a shift from glycolysis to beta oxidation seems to be responsible for the vulnerability to chronic stress and that vHip metabolism contributes to the ability of the antidepressant venlafaxine to normalize the pathological phenotype, as shown by the reversal of the changes observed in specific metabolites. These findings may provide novel perspectives on metabolic changes that could serve as diagnostic markers and preventive strategies for the early detection and treatment of depression as well as for the identification of potential drug targets.
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Affiliation(s)
- Paola Brivio
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy
| | - Matteo Audano
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy
| | - Maria Teresa Gallo
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy
| | - Eleonora Miceli
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy
| | - Piotr Gruca
- Maj Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | - Magdalena Lason
- Maj Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | - Ewa Litwa
- Maj Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | - Fabio Fumagalli
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy
| | - Mariusz Papp
- Maj Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | - Nico Mitro
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Francesca Calabrese
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy.
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22
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Oh SJ, Lee N, Nam KR, Kang KJ, Han SJ, Choi JY. Effects of Escitalopram on the Functional Neural Circuits in an Animal Model of Adolescent Depression. Mol Imaging Biol 2023:10.1007/s11307-023-01825-6. [PMID: 37193806 DOI: 10.1007/s11307-023-01825-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 05/03/2023] [Accepted: 05/04/2023] [Indexed: 05/18/2023]
Abstract
PURPOSE Although escitalopram is known to be an effective drug for adult depression, its disease-modifying efficacy on adolescents remains controversial. The present study aimed to evaluate the therapeutic effect of escitalopram on behavioral aspects as well as functional neural circuits by means of positron emission tomography. PROCEDURES To generate the animal models of depression, restraint stress was used during the peri-adolescent period (RS group). Thereafter, escitalopram was administered after the end of stress exposure (Tx group). We performed NeuroPET studies of glutamate, glutamate, GABA, and serotonin systems. RESULTS The Tx group showed no body weight change compared to the RS group. In the behavioral tests, the Tx group also displayed the similar time spent in open arms and immobility time to those for RS. In the PET studies, brain uptake values for the Tx group revealed no significant differences in terms of glucose, GABAA, and 5-HT1A receptor densities, but lower mGluR5 PET uptake compared to the RS group. In the immunohistochemistry, the Tx group showed the significant loss of neuronal cells in the hippocampus compared to the RS group. CONCLUSION The administration of escitalopram had no therapeutic effect on the adolescent depression.
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Affiliation(s)
- Se Jong Oh
- Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea, 01812
| | - Namhun Lee
- Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea, 01812
| | - Kyung Rok Nam
- Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea, 01812
| | - Kyung Jun Kang
- Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea, 01812
| | - Sang Jin Han
- Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea, 01812
| | - Jae Yong Choi
- Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea, 01812.
- Radiological and Medico-Oncological Sciences, University of Science and Technology (UST), Seoul, South Korea, 01812.
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Privitera A, Cardaci V, Weerasekara D, Saab MW, Diolosà L, Fidilio A, Jolivet RB, Lazzarino G, Amorini AM, Camarda M, Lunte SM, Caraci F, Caruso G. Microfluidic/HPLC combination to study carnosine protective activity on challenged human microglia: Focus on oxidative stress and energy metabolism. Front Pharmacol 2023; 14:1161794. [PMID: 37063279 PMCID: PMC10095171 DOI: 10.3389/fphar.2023.1161794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 03/03/2023] [Indexed: 03/31/2023] Open
Abstract
Carnosine (β-alanyl-L-histidine) is a naturally occurring endogenous peptide widely distributed in excitable tissues such as the brain. This dipeptide possesses well-demonstrated antioxidant, anti-inflammatory, and anti-aggregation properties, and it may be useful for treatment of pathologies characterized by oxidative stress and energy unbalance such as depression and Alzheimer's disease (AD). Microglia, the brain-resident macrophages, are involved in different physiological brain activities such synaptic plasticity and neurogenesis, but their dysregulation has been linked to the pathogenesis of numerous diseases. In AD brain, the activation of microglia towards a pro-oxidant and pro-inflammatory phenotype has found in an early phase of cognitive decline, reason why new pharmacological targets related to microglia activation are of great importance to develop innovative therapeutic strategies. In particular, microglia represent a common model of lipopolysaccharides (LPS)-induced activation to identify novel pharmacological targets for depression and AD and numerous studies have linked the impairment of energy metabolism, including ATP dyshomeostasis, to the onset of depressive episodes. In the present study, we first investigated the toxic potential of LPS + ATP in the absence or presence of carnosine. Our studies were carried out on human microglia (HMC3 cell line) in which LPS + ATP combination has shown the ability to promote cell death, oxidative stress, and inflammation. Additionally, to shed more light on the molecular mechanisms underlying the protective effect of carnosine, its ability to modulate reactive oxygen species production and the variation of parameters representative of cellular energy metabolism was evaluated by microchip electrophoresis coupled to laser-induced fluorescence and high performance liquid chromatography, respectively. In our experimental conditions, carnosine prevented LPS + ATP-induced cell death and oxidative stress, also completely restoring basal energy metabolism in human HMC3 microglia. Our results suggest a therapeutic potential of carnosine as a new pharmacological tool in the context of multifactorial disorders characterize by neuroinflammatory phenomena including depression and AD.
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Affiliation(s)
- Anna Privitera
- Department of Drug and Health Sciences, University of Catania, Catania, Italy
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Vincenzo Cardaci
- Vita-Salute San Raffaele University, Milano, Italy
- Scuola Superiore di Catania, University of Catania, Catania, Italy
| | - Dhanushka Weerasekara
- Ralph N. Adams Institute for Bioanalytical Chemistry, University of Kansas, Lawrence, KS, United States
- Department of Pharmaceutical Chemistry, University of Kansas, Lawrence, KS, United States
| | - Miriam Wissam Saab
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Lidia Diolosà
- Department of Drug and Health Sciences, University of Catania, Catania, Italy
| | - Annamaria Fidilio
- Unit of Neuropharmacology and Translational Neurosciences, Oasi Research Institute-IRCCS, Troina, Italy
| | - Renaud Blaise Jolivet
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, Netherlands
| | - Giuseppe Lazzarino
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Angela Maria Amorini
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | | | - Susan Marie Lunte
- Ralph N. Adams Institute for Bioanalytical Chemistry, University of Kansas, Lawrence, KS, United States
- Department of Pharmaceutical Chemistry, University of Kansas, Lawrence, KS, United States
- Department of Chemistry, University of Kansas, Lawrence, KS, United States
| | - Filippo Caraci
- Department of Drug and Health Sciences, University of Catania, Catania, Italy
- Unit of Neuropharmacology and Translational Neurosciences, Oasi Research Institute-IRCCS, Troina, Italy
| | - Giuseppe Caruso
- Department of Drug and Health Sciences, University of Catania, Catania, Italy
- Unit of Neuropharmacology and Translational Neurosciences, Oasi Research Institute-IRCCS, Troina, Italy
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24
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Yao S, Xu MD, Wang Y, Zhao ST, Wang J, Chen GF, Chen WB, Liu J, Huang GB, Sun WJ, Zhang YY, Hou HL, Li L, Sun XD. Astrocytic lactate dehydrogenase A regulates neuronal excitability and depressive-like behaviors through lactate homeostasis in mice. Nat Commun 2023; 14:729. [PMID: 36759610 PMCID: PMC9911790 DOI: 10.1038/s41467-023-36209-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 01/18/2023] [Indexed: 02/11/2023] Open
Abstract
Alterations in energy metabolism are associated with depression. However, the role of glycolysis in the pathogenesis of depression and the underlying molecular mechanisms remain unexplored. Through an unbiased proteomic screen coupled with biochemical verifications, we show that the levels of glycolysis and lactate dehydrogenase A (LDHA), a glycolytic enzyme that catalyzes L-lactate production, are reduced in the dorsomedial prefrontal cortex (dmPFC) of stress-susceptible mice in chronic social defeat stress (CSDS) model. Conditional knockout of LDHA from the brain promotes depressive-like behaviors in both male and female mice, accompanied with reduced L-lactate levels and decreased neuronal excitability in the dmPFC. Moreover, these phenotypes could be duplicated by knockdown of LDHA in the dmPFC or specifically in astrocytes. In contrast, overexpression of LDHA reverses these phenotypic changes in CSDS-susceptible mice. Mechanistic studies demonstrate that L-lactate promotes neuronal excitability through monocarboxylic acid transporter 2 (MCT2) and by inhibiting large-conductance Ca2+-activated potassium (BK) channel. Together, these results reveal a role of LDHA in maintaining neuronal excitability to prevent depressive-like behaviors.
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Affiliation(s)
- Shan Yao
- Department of Neurology of the Second Affiliated Hospital, Institute of Neuroscience, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 510260, China
| | - Min-Dong Xu
- Department of Neurology of the Second Affiliated Hospital, Institute of Neuroscience, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 510260, China
| | - Ying Wang
- Department of Neurology of the Second Affiliated Hospital, Institute of Neuroscience, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 510260, China
| | - Shen-Ting Zhao
- Department of Physiology, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 511436, China
| | - Jin Wang
- Department of Physiology, Guangxi University of Science and Technology, Liuzhou, 545005, China
| | - Gui-Fu Chen
- Department of Neurology of the Second Affiliated Hospital, Institute of Neuroscience, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 510260, China
| | - Wen-Bing Chen
- Institute of Life Science, Nanchang University, Nanchang, 330031, China
| | - Jian Liu
- Department of Neurology of the Second Affiliated Hospital, Institute of Neuroscience, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 510260, China
| | - Guo-Bin Huang
- Department of Neurology of the Second Affiliated Hospital, Institute of Neuroscience, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 510260, China
| | - Wen-Juan Sun
- Department of Physiology, Guangxi University of Science and Technology, Liuzhou, 545005, China
| | - Yan-Yan Zhang
- Department of Neurology of the Second Affiliated Hospital, Institute of Neuroscience, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 510260, China
| | - Huan-Li Hou
- Department of Neurology of the Second Affiliated Hospital, Institute of Neuroscience, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 510260, China
| | - Lei Li
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Xiang-Dong Sun
- Department of Neurology of the Second Affiliated Hospital, Institute of Neuroscience, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 510260, China.
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25
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Skin Cancer Metabolic Profile Assessed by Different Analytical Platforms. Int J Mol Sci 2023; 24:ijms24021604. [PMID: 36675128 PMCID: PMC9866771 DOI: 10.3390/ijms24021604] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/03/2023] [Accepted: 01/10/2023] [Indexed: 01/17/2023] Open
Abstract
Skin cancer, including malignant melanoma (MM) and keratinocyte carcinoma (KC), historically named non-melanoma skin cancers (NMSC), represents the most common type of cancer among the white skin population. Despite decades of clinical research, the incidence rate of melanoma is increasing globally. Therefore, a better understanding of disease pathogenesis and resistance mechanisms is considered vital to accomplish early diagnosis and satisfactory control. The "Omics" field has recently gained attention, as it can help in identifying and exploring metabolites and metabolic pathways that assist cancer cells in proliferation, which can be further utilized to improve the diagnosis and treatment of skin cancer. Although skin tissues contain diverse metabolic enzymes, it remains challenging to fully characterize these metabolites. Metabolomics is a powerful omics technique that allows us to measure and compare a vast array of metabolites in a biological sample. This technology enables us to study the dermal metabolic effects and get a clear explanation of the pathogenesis of skin diseases. The purpose of this literature review is to illustrate how metabolomics technology can be used to evaluate the metabolic profile of human skin cancer, using a variety of analytical platforms including gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), and nuclear magnetic resonance (NMR). Data collection has not been based on any analytical method.
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26
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The Effects of Prenatal Dexamethasone Exposure on Brain Metabolic Homeostasis in Adulthood: Implications for Depression. Int J Mol Sci 2023; 24:ijms24021156. [PMID: 36674678 PMCID: PMC9866429 DOI: 10.3390/ijms24021156] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/09/2022] [Accepted: 12/29/2022] [Indexed: 01/10/2023] Open
Abstract
Since depression produces a long-term negative impact on quality of life, understanding the pathophysiological changes implicated in this disorder is urgent. There is growing evidence that demonstrates a key role for dysfunctional energy metabolism in driving the onset of depression; thus, bioenergetic alterations should be extensively studied. Brain metabolism is known to be a glucocorticoid-sensitive process, but the long-lasting consequences in adulthood following high levels of glucocorticoids at the early stages of life are unclear. We examined a possible association between brain energetic changes induced by synthetic glucocorticoid-dexamethasone treatment in the prenatal period and depressive-like behavior. The results show a reduction in the oxidative phosphorylation process, Krebs cycle impairment, and a weakening of the connection between the Krebs cycle and glycolysis in the frontal cortex of animals receiving dexamethasone, which leads to ATP reduction. These changes appear to be mainly due to decreased expression of pyruvate dehydrogenase, impairment of lactate transport to neurons, and pyruvate to the mitochondria. Acute stress in adulthood only slightly modified the observed alterations in the frontal cortex, while in the case of the hippocampus, prenatal exposure to dexamethasone made this structure more sensitive to future adverse factors.
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27
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Maternal Metabolites Indicative of Mental Health Status during Pregnancy. Metabolites 2022; 13:metabo13010024. [PMID: 36676949 PMCID: PMC9865687 DOI: 10.3390/metabo13010024] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/16/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
Approximately 25% of individuals report poor mental health during their pregnancy or postpartum period, which may impact fetal neurodevelopment, birth outcomes, and maternal behaviors. In the present study, maternal serum samples were collected from pregnancies at 28-32 weeks gestation from the All Our Families (Alberta, Canada) cohort and assessed using nuclear magnetic resonance spectroscopy (1H-NMR) and inductively coupled plasma-mass spectrometry (ICP-MS). Individuals with poor mental health at 34-36 weeks gestation were age-matched with mentally healthy pregnant controls. Metabolites were examined against validated self-reported mental health questionnaires for associations with depressive symptoms (Edinburgh Perinatal Depression Scale) and anxiety symptoms (Spielberger State-Trait Anxiety Inventory). 1H-NMR metabolites were identified for depression (alanine, leucine, valine, methionine, phenylalanine, glucose, lactate, 3-hydroxybutyrate, and pyruvate) and anxiety (3-hydroxybutyrate). For ICP-MS, antimony and zinc were significant for depression and anxiety, respectively. Upon false discovery rate (FDR) correction at 10%, five 1H-NMR metabolites (alanine, leucine, lactate, glucose, and phenylalanine) for depression remained significantly increased. Although results warrant further validation, the identified metabolites may serve as a predictive tool for assessing mental health during pregnancy as earlier identification has the potential to aid intervention and management of poor mental health symptomology, thus avoiding harmful consequences to both mother and offspring.
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28
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Lu S, Li C, Jin X, Zhu L, Shen J, Bai M, Li Y, Xu E. Baicalin improves the energy levels in the prefrontal cortex of mice exposed to chronic unpredictable mild stress. Heliyon 2022; 8:e12083. [DOI: 10.1016/j.heliyon.2022.e12083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/11/2022] [Accepted: 11/25/2022] [Indexed: 12/12/2022] Open
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29
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Wang W, Jia S, Zhao Q, Yang L. Diagnosis of Neural Activity among Abnormal Brain Regions in Patients with Major Depressive Disorder by Magnetic Resonance Imaging Features. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:3044010. [PMID: 35799635 PMCID: PMC9256329 DOI: 10.1155/2022/3044010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/08/2022] [Accepted: 06/10/2022] [Indexed: 11/18/2022]
Abstract
In order to explore the diagnostic value of magnetic resonance imaging (MRI) for neural activity among abnormal brain regions in patients with major depressive disorder (MDD), thirty patients with MDD (observation group) were selected for comparison with 30 healthy people without MDD (control group). The included subjects were examined by MRI to compare the MRI features and were analyzed for regional homogeneity (ReHo) and amplitude low-frequency fluctuations (ALFF). The results showed that compared with the control group, the brain regions with increased ReHo and ALFF in the observation group were medial frontal gyrus (right), middle temporal lobe (left), inferior parietal lobe (left), and posterior cerebellar lobe (right); the brain region with increased ReHo and ALFF in the observation group was the middle temporal gyrus (right). Compared with the control group, there were significant differences in ReHo and ALFF in the observation group. It was found that the brain function of patients with MDD was abnormal compared with that of the normal subjects, and the brain network activity was also abnormal. MRI features can be used to explore abnormal brain regions in patients with MDD and have positive guiding value.
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Affiliation(s)
- Weicheng Wang
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China
| | - Shuang Jia
- Department of Radiology, Nanchong Hospital of Traditional Chinese Medicine, Nanchong 637000, China
| | - Qionghui Zhao
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China
| | - Lin Yang
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China
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Pinto B, Conde T, Domingues I, Domingues MR. Adaptation of Lipid Profiling in Depression Disease and Treatment: A Critical Review. Int J Mol Sci 2022; 23:ijms23042032. [PMID: 35216147 PMCID: PMC8874755 DOI: 10.3390/ijms23042032] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/09/2022] [Accepted: 02/10/2022] [Indexed: 11/30/2022] Open
Abstract
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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Affiliation(s)
- Bruno Pinto
- Centre for Environmental and Marine Studies, CESAM, Department of Chemistry, Santiago University Campus, University of Aveiro, 3810-193 Aveiro, Portugal; (B.P.); (T.C.)
- Mass Spectrometry Centre, LAQV-REQUIMTE, Department of Chemistry, Santiago University Campus, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Tiago Conde
- Centre for Environmental and Marine Studies, CESAM, Department of Chemistry, Santiago University Campus, University of Aveiro, 3810-193 Aveiro, Portugal; (B.P.); (T.C.)
- Mass Spectrometry Centre, LAQV-REQUIMTE, Department of Chemistry, Santiago University Campus, University of Aveiro, 3810-193 Aveiro, Portugal
- Institute of Biomedicine—iBiMED, Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Inês Domingues
- Centre for Environmental and Marine Studies, CESAM, Department of Biology, Santiago University Campus, University of Aveiro, 3810-193 Aveiro, Portugal;
| | - M. Rosário Domingues
- Centre for Environmental and Marine Studies, CESAM, Department of Chemistry, Santiago University Campus, University of Aveiro, 3810-193 Aveiro, Portugal; (B.P.); (T.C.)
- Mass Spectrometry Centre, LAQV-REQUIMTE, Department of Chemistry, Santiago University Campus, University of Aveiro, 3810-193 Aveiro, Portugal
- Correspondence:
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Wang Y, Wei J, Chen T, Yang X, Zhao L, Wang M, Dou Y, Du Y, Ni R, Li T, Ma X. A Whole Transcriptome Analysis in Peripheral Blood Suggests That Energy Metabolism and Inflammation Are Involved in Major Depressive Disorder. Front Psychiatry 2022; 13:907034. [PMID: 35633815 PMCID: PMC9136012 DOI: 10.3389/fpsyt.2022.907034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Previous studies on transcriptional profiles suggested dysregulation of multiple RNA species in major depressive disorder (MDD). However, the interaction between different types of RNA was neglected. Therefore, integration of different RNA species in transcriptome analysis would be helpful for interpreting the functional readout of the transcriptome in MDD. METHODS A whole transcriptome sequencing were performed on the peripheral blood of 15 patients with MDD and 15 matched healthy controls (HCs). The differential expression of miRNAs, lncRNAs, circRNAs, and mRNAs was examined between MDD and HCs using empirical analysis of digital gene expression data in R (edgeR). Weighted correlation network analysis (WGCNA) was used to identify RNA co-expression modules associated with MDD. A ceRNA network was constructed for interpretation of interactions between different RNA species. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted to explore potential biological mechanisms associated with MDD. RESULTS Multiple RNAs and co-expression modules were identified to be significantly dysregulated in MDD compared to HCs. Based on the differential RNAs, a ceRNA network that were dysregulated in MDD were constructed. The pathway networks that related to oxidative phosphorylation and the chemokine signaling were found to be associated with MDD. CONCLUSION Our results suggested that the processes of energy metabolism and inflammation may be involved in the pathophysiology of MDD.
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Affiliation(s)
- Yu Wang
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Jinxue Wei
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Ting Chen
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiao Yang
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Liansheng Zhao
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Min Wang
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yikai Dou
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yue Du
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Rongjun Ni
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Tao Li
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaohong Ma
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
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Gbaoui L, Fachet M, Lüno M, Meyer-Lotz G, Frodl T, Hoeschen C. Breathomics profiling of metabolic pathways affected by major depression: Possibilities and limitations. Front Psychiatry 2022; 13:1061326. [PMID: 36590606 PMCID: PMC9795849 DOI: 10.3389/fpsyt.2022.1061326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/24/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is one of the most common psychiatric disorders with multifactorial etiologies. Metabolomics has recently emerged as a particularly potential quantitative tool that provides a multi-parametric signature specific to several mechanisms underlying the heterogeneous pathophysiology of MDD. The main purpose of the present study was to investigate possibilities and limitations of breath-based metabolomics, breathomics patterns to discriminate MDD patients from healthy controls (HCs) and identify the altered metabolic pathways in MDD. METHODS Breath samples were collected in Tedlar bags at awakening, 30 and 60 min after awakening from 26 patients with MDD and 25 HCs. The non-targeted breathomics analysis was carried out by proton transfer reaction mass spectrometry. The univariate analysis was first performed by T-test to rank potential biomarkers. The metabolomic pathway analysis and hierarchical clustering analysis (HCA) were performed to group the significant metabolites involved in the same metabolic pathways or networks. Moreover, a support vector machine (SVM) predictive model was built to identify the potential metabolites in the altered pathways and clusters. The accuracy of the SVM model was evaluated by receiver operating characteristics (ROC) analysis. RESULTS A total of 23 differential exhaled breath metabolites were significantly altered in patients with MDD compared with HCs and mapped in five significant metabolic pathways including aminoacyl-tRNA biosynthesis (p = 0.0055), branched chain amino acids valine, leucine and isoleucine biosynthesis (p = 0.0060), glycolysis and gluconeogenesis (p = 0.0067), nicotinate and nicotinamide metabolism (p = 0.0213) and pyruvate metabolism (p = 0.0440). Moreover, the SVM predictive model showed that butylamine (p = 0.0005, pFDR=0.0006), 3-methylpyridine (p = 0.0002, pFDR = 0.0012), endogenous aliphatic ethanol isotope (p = 0.0073, pFDR = 0.0174), valeric acid (p = 0.005, pFDR = 0.0162) and isoprene (p = 0.038, pFDR = 0.045) were potential metabolites within identified clusters with HCA and altered pathways, and discriminated between patients with MDD and non-depressed ones with high sensitivity (0.88), specificity (0.96) and area under curve of ROC (0.96). CONCLUSION According to the results of this study, the non-targeted breathomics analysis with high-throughput sensitive analytical technologies coupled to advanced computational tools approaches offer completely new insights into peripheral biochemical changes in MDD.
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Affiliation(s)
- Laila Gbaoui
- Chair of Medical Systems Technology, Institute for Medical Technology, Otto von Guericke University, Magdeburg, Germany
| | - Melanie Fachet
- Chair of Medical Systems Technology, Institute for Medical Technology, Otto von Guericke University, Magdeburg, Germany
| | - Marian Lüno
- Department for Psychiatry and Psychotherapy, Medical Faculty, Otto von Guericke University, Magdeburg, Germany
| | - Gabriele Meyer-Lotz
- Department for Psychiatry and Psychotherapy, Medical Faculty, Otto von Guericke University, Magdeburg, Germany
| | - Thomas Frodl
- Department for Psychiatry and Psychotherapy, Medical Faculty, Otto von Guericke University, Magdeburg, Germany.,Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital, RWTH Aachen, Aachen, Germany
| | - Christoph Hoeschen
- Chair of Medical Systems Technology, Institute for Medical Technology, Otto von Guericke University, Magdeburg, Germany
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Stapel B, Nösel P, Heitland I, Mahmoudi N, Lanfermann H, Kahl KG, Ding XQ. In vivo magnetic resonance spectrometry imaging demonstrates comparable adaptation of brain energy metabolism to metabolic stress induced by 72 h of fasting in depressed patients and healthy volunteers. J Psychiatr Res 2021; 143:422-428. [PMID: 34656874 DOI: 10.1016/j.jpsychires.2021.10.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 10/01/2021] [Accepted: 10/10/2021] [Indexed: 01/19/2023]
Abstract
Major depressive disorder (MDD) is characterized by dysregulation of stress systems and by abnormalities in cerebral energy metabolism. Stress induction has been shown to impact neurometabolism in healthy individuals. Contrarily, neurometabolic changes in response to stress are insufficiently investigated in MDD patients. Metabolic stress was induced in MDD patients (MDD, N = 24) and in healthy individuals (CTRL, N = 22) by application of an established fasting protocol in which calorie intake was omitted for 72 h. Both study groups were comparable regarding age, gender distribution, and body mass index (BMI). Fasting-induced effects on brain high-energy phosphate levels and membrane phospholipid metabolism were assessed using phosphorus-31 magnetic resonance spectroscopy (31P-MRS). Two-way repeated measures ANOVAs did not reveal significant interaction effects (group x fasting) or group differences in adenosine triphosphate (ATP), phosphocreatine (PCr), inorganic phosphate (Pi), phosphomonoesters (PME), phosphodiesters (PDE), or pH levels between MDD and CTRL. Fasting, independent of group, significantly increased ATP and decreased Pi levels and an overall increase in PME/PDE ratio as marker for membrane turnover was observed. Overall these results indicate reactive changes in cerebral energetics and in membrane phospholipid metabolism in response to fasting. The observed effects did not significantly differ between CTRL and MDD, indicating that neurometabolic adaptation to metabolic stress is preserved in MDD patients.
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Affiliation(s)
- B Stapel
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany.
| | - P Nösel
- Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - I Heitland
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - N Mahmoudi
- Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - H Lanfermann
- Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - K G Kahl
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - X Q Ding
- Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
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