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Liu P, Jing L, Guo F, Xu Y, Cheng J, Liu S, Liu L, Liu Z, Zhang K, Sun N. Characteristics of gut microbiota and its correlation with hs-CRP and somatic symptoms in first-episode treatment-naive major depressive disorder. J Affect Disord 2024; 356:664-671. [PMID: 38615845 DOI: 10.1016/j.jad.2024.04.011] [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: 12/08/2023] [Revised: 03/26/2024] [Accepted: 04/03/2024] [Indexed: 04/16/2024]
Abstract
OBJECTIVE Most patients with major depressive disorder (MDD) have somatic symptoms, but little studies pay attention in the microbial-inflammatory mechanisms of these somatic symptoms. Our study aimed to investigate alterations in gut microbiota and its correlation with inflammatory marker levels and somatic symptoms in first-episode treatment-naive MDD. METHODS Subjects contained 160 MDD patients and 101 healthy controls (HCs). MDD patients were divided into MDD with somatic symptoms group (MDDS) and MDD without somatic symptoms group (MDDN) based on Somatic Self-rating Scale (SSS). 16S ribosomal RNA sequencing were performed to analyze the composition of the fecal microbiota. The inflammatory factors were measured using enzyme linked immunosorbent assay (ELISA). Correlation among the altered gut microbiota, inflammatory factor and severity of clinical symptoms were analysized. RESULTS Relative to HCs, MDD patients had higher levels of high-sensitivity C-reactive protein (hs-CRP) as well as disordered α-diversity and β-diversity of gut microbiota. Linear discriminant effect size (LEfSe) analysis showed that MDD patients had higher proportions of Bifidobacterium, Blautia, Haemophilus and lower proportions of Bacteroides, Faecalibacterium, Roseburia, Dialister, Sutterella, Parabacteroides, Bordetella, and Phascolarctobacterium from the genus aspect. Furthermore, correlation analysis showed Bacteroides and Roseburia had negative correlations with the hs-CRP, HAMD-24, the total and factor scores of SSS in all participants. Further, compared with MDDN, the Pielous evenness was higher in MDDS. Random Forest (RF) analysis showed 20 most important genera discriminating MDD-S and MDDN, HCs. The ROC analysis showed that the AUC was 0.90 and 0.81 combining these genera respectively. CONCLUSION Our study manifested MDD patients showed disordered gut microbiota and elevated hs-CRP levels, and altered gut microbiota was closely associated with hs-CRP, depressive symptoms, and somatic symptoms.
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Affiliation(s)
- Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China
| | - Lin Jing
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China
| | - Fengtao Guo
- Shanxi Medical University, Taiyuan 030001, PR China
| | - Yunfan Xu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China
| | - Junxiang Cheng
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China
| | - Shasha Liu
- Shanxi Medical University, Taiyuan 030001, PR China
| | - Lixin Liu
- Shanxi Medical University, Taiyuan 030001, PR China; Experimental Center of Science and Research, The First Hospital of Shanxi Medical University, PR China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China.
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China.
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Davies JM, Teh JJ, Ewais T, Begun J. Does Improving Depression Symptoms in Young Adults With Inflammatory Bowel Disease Alter Their Microbiome? Inflamm Bowel Dis 2024:izae121. [PMID: 38839073 DOI: 10.1093/ibd/izae121] [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: 08/08/2023] [Indexed: 06/07/2024]
Abstract
BACKGROUND Patients with inflammatory bowel diseases (IBDs) are more likely to have depression and anxiety symptoms compared with healthy individuals and those with other chronic illnesses. Previous studies have shown a link between the microbiome composition and depression symptoms; however, many antidepressant medications have antibacterial activity confounding cross-sectional studies of these populations. Therefore, we aimed to determine whether we could detect longitudinal changes in the microbiome of a subset of patients who participated in a previously published mindfulness-based cognitive therapy (MBCT) study to improve depression symptoms in adolescents and young adults with IBD. METHODS Stool samples were collected at baseline and 8 weeks (n = 24 participants, 37 total samples, 13 paired samples). During this time, some participants achieved a 50% reduction in their depression symptoms either through MBCT or treatment as usual with their mental health team (responders). The microbiome composition and function of responders were compared with participants who did not improve their depression scores (nonresponders). Depression scores were determined using the depression, anxiety, and stress score (DASS-21), and metagenomic sequencing of stool samples was performed. RESULTS No difference in alpha diversity was found between responders and nonresponders. Beta diversity measures were similarly unchanged. Clinical features including fecal calprotectin, C-reactive protein, and serum IL-6 levels were unchanged. CONCLUSIONS In this small longitudinal study, we were not able to detect longitudinal changes in the microbiome associated with improvement in depression scores. Follow-up studies that are sufficiently powered to detect changes in the microbiome are required to confirm our results.
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Affiliation(s)
- Julie M Davies
- Mater Research-The University of Queensland, Woolloongabba, QLD, Australia
| | - Jing Jie Teh
- Frazer Institute, The University of Queensland, Woolloongabba QLD, Australia
| | - Tatjana Ewais
- Mater Adolescent and Young Adult Health Clinic, South Brisbane, QLD, Australia
- School of Medicine, The University of Queensland, St Lucia, QLD, Australia
- School of Medicine and Dentistry, Gold Coast Campus, Griffith University, Southport, QLD, Australia
| | - Jakob Begun
- Mater Research-The University of Queensland, Woolloongabba, QLD, Australia
- Department of Gastroenterology, Mater Hospital Brisbane, South Brisbane, Australia
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Lin S, Zhou Z, Qi Y, Chen J, Xu G, Shi Y, Yu Z, Li M, Chai K. Depression promotes breast cancer progression by regulating amino acid neurotransmitter metabolism and gut microbial disturbance. Clin Transl Oncol 2024; 26:1407-1418. [PMID: 38194019 DOI: 10.1007/s12094-023-03367-3] [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: 03/28/2023] [Accepted: 12/04/2023] [Indexed: 01/10/2024]
Abstract
INTRODUCTION Breast cancer (BC) is the most prevalent type of cancer and has the highest mortality among women worldwide. BC patients have a high risk of depression, which has been recognized as an independent factor in the progression of BC. However, the potential mechanism has not been clearly demonstrated. METHODS To explore the correlation and mechanism between depression and BC progression, we induced depression and tumor in BC mouse models. Depression was induced via chronic unpredictable mild stress (CUMS) and chronic restraint stress (CRS). Amino acid (AA) neurotransmitter-targeted metabonomics and gut microbiota 16S rDNA gene sequencing were employed in the mouse model after evaluation with behavioral tests and pathological analysis. RESULTS The tumors in cancer-depression (CD) mice grew faster than those in cancer (CA) mice, and lung metastasis was observed in CD mice. Metabonomics revealed that the neurotransmitters and plasma AAs in CD mice were dysregulated, namely the tyrosine and tryptophan pathways and monoamine neurotransmitters in the brain. Gut microbiota analysis displayed an increased ratio of Firmicutes/Bacteroides. In detail, the abundance of f_Lachnospiraceae and s_Lachnospiraceae increased, whereas the abundance of o_Bacteroidales and s_Bacteroides_caecimuris decreased. Moreover, the gut microbiota was more closely associated with AA neurotransmitters than with plasma AA. CONCLUSION Depression promoted the progression of BC by modulating the abundance of s_Lachnospiraceae and s_Bacteroides_caecimuris, which affected the metabolism of monoamine neurotransmitters in the brain and AA in the blood.
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Affiliation(s)
- Sisi Lin
- The Second School of Clinical Medical, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China
- Zhejiang Provincial Key Laboratory of Cancer Prevention and Treatment Technology of Integrated Traditional Chinese and Western Medicine, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang, China
- Department of Traditional Chinese Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang Province, China
| | - Zhe Zhou
- The Second School of Clinical Medical, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China
- Zhejiang Provincial Key Laboratory of Cancer Prevention and Treatment Technology of Integrated Traditional Chinese and Western Medicine, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang, China
| | - Yiming Qi
- The Second School of Clinical Medical, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China
- Zhejiang Provincial Key Laboratory of Cancer Prevention and Treatment Technology of Integrated Traditional Chinese and Western Medicine, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang, China
| | - Jiabing Chen
- The Second School of Clinical Medical, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China
- Zhejiang Provincial Key Laboratory of Cancer Prevention and Treatment Technology of Integrated Traditional Chinese and Western Medicine, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang, China
| | - Guoshu Xu
- The Second School of Clinical Medical, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China
- Zhejiang Provincial Key Laboratory of Cancer Prevention and Treatment Technology of Integrated Traditional Chinese and Western Medicine, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang, China
| | - Yunfu Shi
- The Second School of Clinical Medical, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China
- Zhejiang Provincial Key Laboratory of Cancer Prevention and Treatment Technology of Integrated Traditional Chinese and Western Medicine, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang, China
| | - Zhihong Yu
- The Second School of Clinical Medical, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China
- Zhejiang Provincial Key Laboratory of Cancer Prevention and Treatment Technology of Integrated Traditional Chinese and Western Medicine, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang, China
| | - Mingqian Li
- Zhejiang Provincial Key Laboratory of Cancer Prevention and Treatment Technology of Integrated Traditional Chinese and Western Medicine, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang, China.
| | - Kequn Chai
- The Second School of Clinical Medical, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
- Zhejiang Provincial Key Laboratory of Cancer Prevention and Treatment Technology of Integrated Traditional Chinese and Western Medicine, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang, China.
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Mulder D, Jakobi B, Shi Y, Mulders P, Kist JD, Collard RM, Vrijsen JN, van Eijndhoven P, Tendolkar I, Bloemendaal M, Arias Vasquez A. Gut microbiota composition links to variation in functional domains across psychiatric disorders. Brain Behav Immun 2024; 120:275-287. [PMID: 38815661 DOI: 10.1016/j.bbi.2024.05.037] [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: 01/17/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/01/2024] Open
Abstract
OBJECTIVE Changes in microbial composition are observed in various psychiatric disorders, but their specificity to certain symptoms or processes remains unclear. This study explores the associations between the gut microbiota composition and the Research Domain Criteria (RDoC) domains of functioning, representing symptom domains, specifically focusing on stress-related and neurodevelopmental disorders in patients with and without psychiatric comorbidity. METHODS The gut microbiota was analyzed in 369 participants, comprising 272 individuals diagnosed with a mood disorder, anxiety disorder, attention deficit/hyperactivity disorder, autism spectrum disorder, and/or substance use disorder, as well as 97 psychiatrically unaffected individuals. The RDoC domains were estimated using principal component analysis (PCA) with oblique rotation on a range of psychiatric, psychological, and personality measures. Associations between the gut microbiota and the functional domains were assessed using multiple linear regression and permanova, adjusted for age, sex, diet, smoking, medication use and comorbidity status. RESULTS Four functional domains, aligning with RDoC's negative valence, social processes, cognitive systems, and arousal/regulatory systems domains, were identified. Significant associations were found between these domains and eight microbial genera, including associations of negative valence with the abundance of the genera Sellimonas, CHKCI001, Clostridium sensu stricto 1, Oscillibacter, and Flavonifractor; social processes with Sellimonas; cognitive systems with Sporobacter and Hungatella; and arousal/regulatory systems with Ruminococcus torques (all pFDR < 0.05). CONCLUSION Our findings demonstrate associations between the gut microbiota and the domains of functioning across patients and unaffected individuals, potentially mediated by immune-related processes. These results open avenues for microbiota-focused personalized interventions, considering psychiatric comorbidity. However, further research is warranted to establish causality and elucidate mechanistic pathways.
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Affiliation(s)
- Danique Mulder
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Babette Jakobi
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Yingjie Shi
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Peter Mulders
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Josina D Kist
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Rose M Collard
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Janna N Vrijsen
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Pro Persona Mental Health Care, Depression Expertise Center, Nijmegen, the Netherlands
| | - Phillip van Eijndhoven
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Indira Tendolkar
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Mirjam Bloemendaal
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands; Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - Alejandro Arias Vasquez
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands.
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5
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Okuma K, Hatayama K, Tokuno H, Ebara A, Odachi A, Masuyama H, Hoshiko N, Tanaka N. A risk estimation method for depression based on the dysbiosis of intestinal microbiota in Japanese patients. Front Psychiatry 2024; 15:1382175. [PMID: 38863614 PMCID: PMC11165696 DOI: 10.3389/fpsyt.2024.1382175] [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: 02/05/2024] [Accepted: 05/06/2024] [Indexed: 06/13/2024] Open
Abstract
Introduction Early detection of depression is important for preventing depression-related suicides and reducing the risk of recurrence. This study explored the association between depression and intestinal microbiota and developed a depression risk-estimation method based on this. Methods The intestinal microbiota of Japanese patients with depression (33 males and 35 females) and disease-free controls (246 males and 384 females) in their 20's to 60's were compared by sex using 16S rRNA gene amplicon sequencing. A depression-risk estimation method was developed using structural equation modeling. Results Intestinal bacteria taxa that differed between depression and control groups were identified based on effect size (absolute value greater than 0.2). Neglecta was more abundant, while Coprobacter, Butyricimonas, Clostridium_XlVb, and Romboutsia were less abundant in the male depression group compared to the male control group. In the female depression group, Massilimicrobiota, Merdimonas, and Sellimonas were more abundant, whereas Dorea and Agathobacter were less abundant compared to the female control group. Several of the intestinal bacterial taxa that were less abundant in depression were associated with butyrate or hydrogen production. Using these depression-associated intestinal bacteria as indicators, risk-estimation models using structural equation modeling for depression were developed. In the risk-estimation models for males and females, the areas under the receiver operating characteristic curve were 0.72 and 0.70, respectively, indicating that these models can distinguish between individuals with and without depression. Conclusions This study provides insights into depression etiology and aids in its early detection and treatment.
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Affiliation(s)
| | | | - Hidetaka Tokuno
- Symbiosis Solutions Inc., Tokyo, Japan
- Department of Clinical Biology and Hormonal Regulation, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Aya Ebara
- Symbiosis Solutions Inc., Tokyo, Japan
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Averina OV, Poluektova EU, Zorkina YA, Kovtun AS, Danilenko VN. Human Gut Microbiota for Diagnosis and Treatment of Depression. Int J Mol Sci 2024; 25:5782. [PMID: 38891970 PMCID: PMC11171505 DOI: 10.3390/ijms25115782] [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: 04/19/2024] [Revised: 05/21/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024] Open
Abstract
Nowadays, depressive disorder is spreading rapidly all over the world. Therefore, attention to the studies of the pathogenesis of the disease in order to find novel ways of early diagnosis and treatment is increasing among the scientific and medical communities. Special attention is drawn to a biomarker and therapeutic strategy through the microbiota-gut-brain axis. It is known that the symbiotic interactions between the gut microbes and the host can affect mental health. The review analyzes the mechanisms and ways of action of the gut microbiota on the pathophysiology of depression. The possibility of using knowledge about the taxonomic composition and metabolic profile of the microbiota of patients with depression to select gene compositions (metagenomic signature) as biomarkers of the disease is evaluated. The use of in silico technologies (machine learning) for the diagnosis of depression based on the biomarkers of the gut microbiota is given. Alternative approaches to the treatment of depression are being considered by balancing the microbial composition through dietary modifications and the use of additives, namely probiotics, postbiotics (including vesicles) and prebiotics as psychobiotics, and fecal transplantation. The bacterium Faecalibacterium prausnitzii is under consideration as a promising new-generation probiotic and auxiliary diagnostic biomarker of depression. The analysis conducted in this review may be useful for clinical practice and pharmacology.
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Affiliation(s)
- Olga V. Averina
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), 119333 Moscow, Russia; (E.U.P.); (Y.A.Z.); (A.S.K.); (V.N.D.)
| | - Elena U. Poluektova
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), 119333 Moscow, Russia; (E.U.P.); (Y.A.Z.); (A.S.K.); (V.N.D.)
| | - Yana A. Zorkina
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), 119333 Moscow, Russia; (E.U.P.); (Y.A.Z.); (A.S.K.); (V.N.D.)
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Alexey S. Kovtun
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), 119333 Moscow, Russia; (E.U.P.); (Y.A.Z.); (A.S.K.); (V.N.D.)
| | - Valery N. Danilenko
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), 119333 Moscow, Russia; (E.U.P.); (Y.A.Z.); (A.S.K.); (V.N.D.)
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Hasaniani N, Mostafa Rahimi S, Akbari M, Sadati F, Pournajaf A, Rostami-Mansoor S. The Role of Intestinal Microbiota and Probiotics Supplementation in Multiple Sclerosis Management. Neuroscience 2024; 551:31-42. [PMID: 38777135 DOI: 10.1016/j.neuroscience.2024.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 04/26/2024] [Accepted: 05/11/2024] [Indexed: 05/25/2024]
Abstract
Multiple sclerosis (MS) is a neurological autoimmune disorder predominantly afflicting young adults. The etiology of MS is intricate, involving a variety of environmental and genetic factors. Current research increasingly focuses on the substantial contribution of gut microbiota in MS pathogenesis. The commensal microbiota resident within the intestinal milieu assumes a central role within the intricate network recognized as the gut-brain axis (GBA), wielding beneficial impact in neurological and psychological facets. As a result, the modulation of gut microbiota is considered a pivotal aspect in the management of neural disorders, including MS. Recent investigations have unveiled the possibility of using probiotic supplements as a promising strategy for exerting a positive impact on the course of MS. This therapeutic approach operates through several mechanisms, including the reinforcement of gut epithelial integrity, augmentation of the host's resistance against pathogenic microorganisms, and facilitation of mucosal immunomodulatory processes. The present study comprehensively explains the gut microbiome's profound influence on the central nervous system (CNS). It underscores the pivotal role played by probiotics in forming the immune system and modulating neurotransmitter function. Furthermore, the investigation elucidates various instances of probiotic utilization in MS patients, shedding light on the potential therapeutic advantages afforded by this intervention.
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Affiliation(s)
- Nima Hasaniani
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran; Department of Clinical Biochemistry, Faculty of Medicine, Babol University of Medical Sciences, Babol, Iran
| | - Seyed Mostafa Rahimi
- Cellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Marziyeh Akbari
- Department of Genetics, Faculty of Science, Shahrekord University, Shahrekord, Iran
| | - Fahimeh Sadati
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | - Abazar Pournajaf
- Biomedical and Microbial Advanced Technologies (BMAT) Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Sahar Rostami-Mansoor
- Cellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
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Wang Q, Song YX, Wu XD, Luo YG, Miao R, Yu XM, Guo X, Wu DZ, Bao R, Mi WD, Cao JB. Gut microbiota and cognitive performance: A bidirectional two-sample Mendelian randomization. J Affect Disord 2024; 353:38-47. [PMID: 38417715 DOI: 10.1016/j.jad.2024.02.083] [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: 08/21/2023] [Revised: 02/18/2024] [Accepted: 02/22/2024] [Indexed: 03/01/2024]
Abstract
PURPOSE Previous studies have suggested a potential association between gut microbiota and neurological and psychiatric disorders. However, the causal relationship between gut microbiota and cognitive performance remains uncertain. METHODS A two-sample Mendelian randomization (MR) study used SNPs linked to gut microbiota (n = 18,340) and cognitive performance (n = 257,841) from recent GWAS data. Inverse-variance weighted (IVW), MR Egger, weighted median, simple mode, and weighted mode were employed. Heterogeneity was assessed via Cochran's Q test for IVW. Results were shown with funnel plots. Outliers were detected through leave-one-out method. MR-PRESSO and MR-Egger intercept tests were conducted to address horizontal pleiotropy influence. LIMITATIONS Limited to European populations, generic level, and potential confounding factors. RESULTS IVW analysis revealed detrimental effects on cognitive perfmance associated with the presence of genus Blautia (P = 0.013, 0.966[0.940-0.993]), Catenibacterium (P = 0.035, 0.977[0.956-0.998]), Oxalobacter (P = 0.043, 0.979[0.960-0.999]). Roseburia (P < 0.001, 0.935[0.906-0.965]), in particular, remained strongly negatively associated with cognitive performance after Bonferroni correction. Conversely, families including Bacteroidaceae (P = 0.043, 1.040[1.001-1.081]), Rikenellaceae (P = 0.047, 1.026[1.000-1.053]), along with genera including Paraprevotella (P = 0.044, 1.020[1.001-1.039]), Ruminococcus torques group (P = 0.016, 1.062[1.011-1.115]), Bacteroides (P = 0.043, 1.040[1.001-1.081]), Dialister (P = 0.027, 1.039[1.004-1.074]), Paraprevotella (P = 0.044, 1.020[1.001-1.039]) and Ruminococcaceae UCG003 (P = 0.007, 1.040[1.011-1.070]) had a protective effect on cognitive performance. CONCLUSIONS Our results suggest that interventions targeting specific gut microbiota may offer a promising avenue for improving cognitive function in diseased populations. The practical application of these findings has the potential to enhance cognitive performance, thereby improving overall quality of life.
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Affiliation(s)
- Qian Wang
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China; Medical School of Chinese People's Liberation Army, Beijing 100853, China
| | - Yu-Xiang Song
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Xiao-Dong Wu
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Yun-Gen Luo
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China; Medical School of Chinese People's Liberation Army, Beijing 100853, China
| | - Ran Miao
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Xiao-Meng Yu
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Xu Guo
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - De-Zhen Wu
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Rui Bao
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Wei-Dong Mi
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Jiang-Bei Cao
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
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Yu Z, Guo M, Yu B, Wang Y, Yan Z, Gao R. Anorexia nervosa and bulimia nervosa: a Mendelian randomization study of gut microbiota. Front Microbiol 2024; 15:1396932. [PMID: 38784806 PMCID: PMC11111991 DOI: 10.3389/fmicb.2024.1396932] [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: 03/06/2024] [Accepted: 04/24/2024] [Indexed: 05/25/2024] Open
Abstract
Background Anorexia nervosa (AN) and bulimia nervosa (BN) poses a significant challenge to global public health. Despite extensive research, conclusive evidence regarding the association between gut microbes and the risk of AN and BN remains elusive. Mendelian randomization (MR) methods offer a promising avenue for elucidating potential causal relationships. Materials and methods Genome-wide association studies (GWAS) datasets of AN and BN were retrieved from the OpenGWAS database for analysis. Independent single nucleotide polymorphisms closely associated with 196 gut bacterial taxa from the MiBioGen consortium were identified as instrumental variables. MR analysis was conducted utilizing R software, with outlier exclusion performed using the MR-PRESSO method. Causal effect estimation was undertaken employing four methods, including Inverse variance weighted. Sensitivity analysis, heterogeneity analysis, horizontal multivariate analysis, and assessment of causal directionality were carried out to assess the robustness of the findings. Results A total of 196 bacterial taxa spanning six taxonomic levels were subjected to analysis. Nine taxa demonstrating potential causal relationships with AN were identified. Among these, five taxa, including Peptostreptococcaceae, were implicated as exerting a causal effect on AN risk, while four taxa, including Gammaproteobacteria, were associated with a reduced risk of AN. Similarly, nine taxa exhibiting potential causal relationships with BN were identified. Of these, six taxa, including Clostridiales, were identified as risk factors for increased BN risk, while three taxa, including Oxalobacteraceae, were deemed protective factors. Lachnospiraceae emerged as a common influence on both AN and BN, albeit with opposing effects. No evidence of heterogeneity or horizontal pleiotropy was detected for significant estimates. Conclusion Through MR analysis, we revealed the potential causal role of 18 intestinal bacterial taxa in AN and BN, including Lachnospiraceae. It provides new insights into the mechanistic basis and intervention targets of gut microbiota-mediated AN and BN.
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Affiliation(s)
- Zongliang Yu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Manping Guo
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Postdoctoral Research Station, China Academy of Chinese Medical Sciences, Beijing, China
- Postdoctoral Works Station, Yabao Pharmaceutical Group Co., Ltd., Yuncheng, China
| | - Binyang Yu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yiming Wang
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zian Yan
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Rui Gao
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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10
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Ding L, Liu J, Yang Y, Cui Z, Du G. Chronically socially isolated mice exhibit depressive-like behavior regulated by the gut microbiota. Heliyon 2024; 10:e29791. [PMID: 38681644 PMCID: PMC11046198 DOI: 10.1016/j.heliyon.2024.e29791] [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: 11/18/2023] [Revised: 04/04/2024] [Accepted: 04/15/2024] [Indexed: 05/01/2024] Open
Abstract
Objectives Chronic loneliness is a widespread issue, and the gut-brain axis is known to be crucial in facilitating communication between the gut and brain. However, the precise mechanism by which chronic loneliness affects the gut-brain axis remains uncertain. Methods Fourteen 55-week-old Balb/c mice were used in the experiment, with seven mice being randomly assigned to the chronic social isolation (CSI) group. The CSI group mice underwent 12 weeks of isolation to simulate the psychiatric state of a population in prolonged social isolation. The mental state of the CSI mice was assessed through animal behavior analysis, while plasma cytokines were measured using ELISA. Additionally, the composition of the gut microbiota was analyzed using 16S rRNA sequencing, and the metabolite composition of the intestinal contents was examined using nontargeted metabolomics. The Student-T test was used to determine significant mean differences. Results Mice that were exposed to the CSI exhibited increased immobility time lengths in forced swimming and hanging tail experiments, and decreased movement lengths and number of times traversing the intermediate region, compared to control mice. Additionally, CSI decreased the abundance of the probiotics Ruminococcaceae, Akkermansiaceae, and Christensenellaceae. Additionally, CSI reduced the production of the metabolites oleamide and tryptophan. Furthermore, IL-1β, IL-4, and IL-6 were significantly increased, while TNF-α was significantly decreased. Conclusion CSI induces a dysbiotic gut microbiota and the production of neurorelated metabolites, which in turn increase inflammatory responses and result in depressive behaviors in CSI mice. Therefore, these findings suggest that the gut microbiota may serve as a target for the treatment of long-term social isolation-induced mental disorders.
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Affiliation(s)
- Linwei Ding
- Biotechnology Laboratory, Hainan Medical University, Haikou, China
| | - Jiaqi Liu
- Biotechnology Laboratory, Hainan Medical University, Haikou, China
- Biotechnology Major, Hainan Medical University, Haikou, China
| | - Yunjia Yang
- Biotechnology Laboratory, Hainan Medical University, Haikou, China
- School of Public Health, Hainan Medical University, Haikou, China
| | - Zeying Cui
- Biotechnology Laboratory, Hainan Medical University, Haikou, China
| | - Guankui Du
- Biotechnology Laboratory, Hainan Medical University, Haikou, China
- Biotechnology Major, Hainan Medical University, Haikou, China
- Department of Biochemistry and Molecular Biology, Hainan Medical University, Haikou, China
- Department of Breast Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou, China
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11
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Guo C, Bai Y, Li P, He K. The emerging roles of microbiota-derived extracellular vesicles in psychiatric disorders. Front Microbiol 2024; 15:1383199. [PMID: 38650872 PMCID: PMC11033316 DOI: 10.3389/fmicb.2024.1383199] [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: 02/07/2024] [Accepted: 03/28/2024] [Indexed: 04/25/2024] Open
Abstract
Major depressive disorder, schizophrenia, and bipolar disorder are three major psychiatric disorders that significantly impact the well-being and overall health of patients. Some researches indicate that abnormalities in the gut microbiota can trigger certain psychiatric diseases. Microbiota-derived extracellular vesicles have the ability to transfer bioactive compounds into host cells, altering signaling and biological processes, ultimately influencing the mental health and illness of the host. This review aims to investigate the emerging roles of microbiota-derived extracellular vesicles in these three major psychiatric disorders and discusses their roles as diagnostic biomarkers and therapies for these psychiatric disorders.
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Affiliation(s)
- Chuang Guo
- College of Life Sciences and Food Engineering, Inner Mongolia Minzu University, Tongliao, China
| | - Yulong Bai
- College of Life Sciences and Food Engineering, Inner Mongolia Minzu University, Tongliao, China
| | - Pengfei Li
- Affiliated Hospital of Inner Mongolia Minzu University, Tongliao, China
| | - Kuanjun He
- College of Life Sciences and Food Engineering, Inner Mongolia Minzu University, Tongliao, China
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12
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Liu P, Liu Z, Wang J, Wang J, Gao M, Zhang Y, Yang C, Zhang A, Li G, Li X, Liu S, Liu L, Sun N, Zhang K. Immunoregulatory role of the gut microbiota in inflammatory depression. Nat Commun 2024; 15:3003. [PMID: 38589368 PMCID: PMC11001948 DOI: 10.1038/s41467-024-47273-w] [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: 07/09/2023] [Accepted: 03/26/2024] [Indexed: 04/10/2024] Open
Abstract
Inflammatory depression is a treatment-resistant subtype of depression. A causal role of the gut microbiota as a source of low-grade inflammation remains unclear. Here, as part of an observational trial, we first analyze the gut microbiota composition in the stool, inflammatory factors and short-chain fatty acids (SCFAs) in plasma, and inflammatory and permeability markers in the intestinal mucosa of patients with inflammatory depression (ChiCTR1900025175). Gut microbiota of patients with inflammatory depression exhibits higher Bacteroides and lower Clostridium, with an increase in SCFA-producing species with abnormal butanoate metabolism. We then perform fecal microbiota transplantation (FMT) and probiotic supplementation in animal experiments to determine the causal role of the gut microbiota in inflammatory depression. After FMT, the gut microbiota of the inflammatory depression group shows increased peripheral and central inflammatory factors and intestinal mucosal permeability in recipient mice with depressive and anxiety-like behaviors. Clostridium butyricum administration normalizes the gut microbiota, decreases inflammatory factors, and displays antidepressant-like effects in a mouse model of inflammatory depression. These findings suggest that inflammatory processes derived from the gut microbiota can be involved in neuroinflammation of inflammatory depression.
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Affiliation(s)
- Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan, 030001, PR China
| | - Jizhi Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
| | - Junyan Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
| | - Mingxue Gao
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
| | - Yanyan Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Gaizhi Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Xinrong Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Sha Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Lixin Liu
- Experimental Center of Science and Research, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China.
- Shanxi Medical University, Taiyuan, 030001, PR China.
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China.
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China.
- Shanxi Medical University, Taiyuan, 030001, PR China.
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China.
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Ye J, Fan H, Shi R, Song G, Wu X, Wang D, Xia B, Zhao Z, Zhao B, Liu X, Wang Y, Dai X. Dietary lipoic acid alleviates autism-like behavior induced by acrylamide in adolescent mice: the potential involvement of the gut-brain axis. Food Funct 2024; 15:3395-3410. [PMID: 38465655 DOI: 10.1039/d3fo05078e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Consuming fried foods has been associated with an increased susceptibility to mental health disorders. Nevertheless, the impact of alpha-lipoic acid (α-LA, LA) on fried food-induced autism-like behavior remains unclear. This study aimed to explore how LA affects autism-related behavior and cognitive deficits caused by acrylamide in mice, a representative food hazard found in fried foods. This improvement was accomplished by enhanced synaptic plasticity, increased neurotrophin expression, elevated calcium-binding protein D28k, and restored serotonin. Additionally, LA substantially influenced the abundance of bacteria linked to autism and depression, simultaneously boosted short-chain fatty acid (SCFA) levels in fecal samples, and induced changes in serum amino acid concentrations. In summary, these findings suggested that exposure to acrylamide in adolescent mice could induce the development of social disorders in adulthood. LA showed promise as a nutritional intervention strategy to tackle emotional disorders during adolescence.
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Affiliation(s)
- Jin Ye
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.
| | - Hua Fan
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.
| | - Renjie Shi
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.
| | - Ge Song
- BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China.
| | - Xiaoning Wu
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.
| | - Danna Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.
| | - Bing Xia
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.
| | - Zhenting Zhao
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.
| | - Beita Zhao
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.
| | - Xuebo Liu
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.
| | - Yutang Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.
| | - Xiaoshuang Dai
- BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China.
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14
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Chang M, Chang KT, Chang F. Just a gut feeling: Faecal microbiota transplant for treatment of depression - A mini-review. J Psychopharmacol 2024; 38:353-361. [PMID: 38532577 DOI: 10.1177/02698811241240308] [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] [Indexed: 03/28/2024]
Abstract
BACKGROUND The microbiota-gut-brain axis (MGBA) allows bidirectional crosstalk between the brain and gut microbiota (GM) and is believed to contribute to regulating mood/cognition/behaviour/metabolism/health and homeostasis. Manipulation of GM through faecal microbiota transplant (FMT) is a new, exciting and promising treatment for major depressive disorder (MDD). AIMS This mini-review examines current research into GM and FMT as a therapy for depression. METHODS Original research articles published in Medline/Cochrane Library/PubMed/EMBASE/PsycINFO databases/National Institute of Health website Clinicaltrials.gov/controlled-trials.com were searched. Full articles included in reference lists were evaluated. We summarise current data on GM and depression and discuss communication through the MGBA and the interaction of antidepressants and GM through this. We review compositions of dysbiosis in depressed cohorts, focusing on future directions in the treatment of MDD. RESULTS Studies have demonstrated significant gut dysbiosis in depressed patients compared to healthy cohorts, with overgrowth of pro-inflammatory microbiota, reduction in anti-inflammatory species and reduced overall stability and taxonomic richness. FMT allows the introduction of healthy microbiota into the gastrointestinal tract, facilitating the restoration of eubiosis. CONCLUSION The GM plays an integral role in human health and disease through its communication with the rest of the body via the MGBA. FMT may provide a means to transfer the healthy phenotype into the recipient and this concept in humans is attracting enormous attention as a prospective treatment for psychopathologies, such as MDD, in the future. It may be possible to manipulate the GM in a number of ways, but further research is needed to determine the exact likelihood and profiles involved in the development and amelioration of MDD in humans, as well as the long-term effects and potential risks of this procedure.
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Affiliation(s)
- Minna Chang
- Epsom and St Helier Hospital University and Hospital Trust, Sutton, Carshalton, UK
| | | | - Fuju Chang
- King's College London, Gastrointestinal Research Group, School of Cancer and Pharmaceutical Sciences, Strand, London, UK
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15
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Minichino A, Preston T, Fanshawe JB, Fusar-Poli P, McGuire P, Burnet PWJ, Lennox BR. Psycho-Pharmacomicrobiomics: A Systematic Review and Meta-Analysis. Biol Psychiatry 2024; 95:611-628. [PMID: 37567335 DOI: 10.1016/j.biopsych.2023.07.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/13/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023]
Abstract
BACKGROUND Understanding the interactions between the gut microbiome and psychotropic medications (psycho-pharmacomicrobiomics) could improve treatment stratification strategies in psychiatry. In this systematic review and meta-analysis, we first explored whether psychotropics modify the gut microbiome; second, we investigated whether the gut microbiome affects the efficacy and tolerability of psychotropics. METHODS Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we searched (November 2022) for longitudinal and cross-sectional studies that investigated the effect of psychotropics on the gut microbiome. The primary outcome was the difference in diversity metrics (alpha and beta) before and after treatment with psychotropics (longitudinal studies) and in medicated compared with unmedicated individuals (cross-sectional studies). Secondary outcomes included the association between gut microbiome and efficacy and tolerability outcomes. Random effect meta-analyses were conducted on alpha diversity metrics, while beta diversity metrics were pooled using distance data extracted from graphs. Summary statistics included standardized mean difference and Higgins I2 for alpha diversity metrics and F and R values for beta diversity metrics. RESULTS Nineteen studies were included in our synthesis; 12 investigated antipsychotics and 7 investigated antidepressants. Results showed significant changes in alpha (4 studies; standard mean difference: 0.12; 95% CI: 0.01-0.23; p = .04; I2: 14%) and beta (F = 15.59; R2 = 0.05; p < .001) diversity metrics following treatment with antipsychotics and antidepressants, respectively. Altered gut microbiome composition at baseline was associated with tolerability and efficacy outcomes across studies, including response to antidepressants (2 studies; alpha diversity; standard mean difference: 2.45; 95% CI: 0.50-4.40; p < .001, I2: 0%). CONCLUSIONS Treatment with psychotropic medications is associated with altered gut microbiome composition, and the gut microbiome may in turn influence the efficacy and tolerability of these medications.
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Affiliation(s)
- Amedeo Minichino
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
| | - Tabitha Preston
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Jack B Fanshawe
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-Detection Lab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; OASIS Service, South London and Maudsley NHS Foundation Trust, London, United Kingdom; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Philip W J Burnet
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Belinda R Lennox
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
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de Souza Lopes L, da Silva JS, da luz JMR, de Cássia Soares da Silva M, Lima HS, Rocha GC, Mantovani HC, Kasuya MCM. Intestinal microbial diversity of swines fed with different sources of lithium. 3 Biotech 2024; 14:102. [PMID: 38464613 PMCID: PMC10917731 DOI: 10.1007/s13205-024-03938-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 01/24/2024] [Indexed: 03/12/2024] Open
Abstract
A drug that is widely used in the treatment of psychiatric disorder is lithium (Li) salts. The people who make therapeutic use of this drug develop a series of side effects. Through metataxonomic data, this study assessed the impacts of lithium, as Li carbonate or Li-enriched mushrooms, on the microbial composition of the ileum, colon, and feces of piglets. Employing Bray-Curtis metric, no differences were observed among the treatments evaluated. Nevertheless, the alpha diversity indices showed differences in the Simpson, Shannon, and Chao-1 indices in the colon and Chao-1 in the feces in the diets with Li compared with the diets without Li. The taxa with the highest relative abundance varied among the ileum, colon, and feces, with a predominance of the phyla Firmicutes, Bacteroidota, and Proteobacteria in diets with Li. Many groups of microorganisms that are important for the health of the host (e.g., Lactobacillus, Ruminococcaceae, Enterorhabdus, Muribaculaceae, and Coprococcus) had their relative abundance increased in animals that received diets with the recommended dose of lithium. Furthermore, there was an increase in the abundance of Prevotellaceae and Bacteroidales (in the diet with Li-enriched mushroom) and Clostridia, Ruminococcus, Burkholderia, and Bacteroidales (diets with Li carbonate) at the recommended dosages. This is the first study to show the effects of Li carbonate and Li-enriched mushrooms on the intestinal microbiota of piglets. Thus, the effects of lithium on the body may be related to its ability to change the composition of the intestinal microbiota. Supplementary Information The online version contains supplementary material available at 10.1007/s13205-024-03938-3.
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Affiliation(s)
- Leandro de Souza Lopes
- Department of Agricultural Microbiology, Universidade Federal de Viçosa, Av. Peter Henry Rolfs, S/N, Viçosa, Minas Gerais 36570-000 Brazil
| | - Juliana Soares da Silva
- Department of Agricultural Microbiology, Universidade Federal de Viçosa, Av. Peter Henry Rolfs, S/N, Viçosa, Minas Gerais 36570-000 Brazil
| | - José Maria Rodrigues da luz
- Department of Agricultural Microbiology, Universidade Federal de Viçosa, Av. Peter Henry Rolfs, S/N, Viçosa, Minas Gerais 36570-000 Brazil
| | - Marliane de Cássia Soares da Silva
- Department of Agricultural Microbiology, Universidade Federal de Viçosa, Av. Peter Henry Rolfs, S/N, Viçosa, Minas Gerais 36570-000 Brazil
| | - Helena Santiago Lima
- Department of Agricultural Microbiology, Universidade Federal de Viçosa, Av. Peter Henry Rolfs, S/N, Viçosa, Minas Gerais 36570-000 Brazil
| | - Gabriel Cipriano Rocha
- Department of Animal Science, Universidade Federal de Viçosa, Av. P.H. Rolfs, S/N, Viçosa, Minas Gerais 36570-900 Brazil
| | - Hilário Cuquetto Mantovani
- Department of Agricultural Microbiology, Universidade Federal de Viçosa, Av. Peter Henry Rolfs, S/N, Viçosa, Minas Gerais 36570-000 Brazil
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706 USA
| | - Maria Catarina Megumi Kasuya
- Department of Agricultural Microbiology, Universidade Federal de Viçosa, Av. Peter Henry Rolfs, S/N, Viçosa, Minas Gerais 36570-000 Brazil
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He Q, Xia B, Yang M, Lu K, Fan D, Li W, Liu Y, Pan Y, Yuan J. Alterations in gut microbiota and bile acids by proton-pump inhibitor use and possible mediating effects on elevated glucose levels and insulin resistance. FASEB J 2024; 38:e23541. [PMID: 38498341 DOI: 10.1096/fj.202302558r] [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: 12/12/2023] [Revised: 02/11/2024] [Accepted: 02/23/2024] [Indexed: 03/20/2024]
Abstract
Several observational studies have suggested that proton-pump inhibitor (PPI) use might increase diabetes risk, but the mechanism remains unclear. This study aimed to investigate the effects of PPI use on gut microbiota and bile acids (BAs) profiles, and to explore whether these changes could mediate the association of PPIs use with fasting blood glucose (FBG) levels and insulin resistance (IR) in Chinese population. A cross-sectional study was conducted in Shenzhen, China, from April to August 2021, enrolled 200 eligible patients from the local hospital. Participants completed a questionnaire and provided blood and stool samples. Gut microbiome was measured by16S rRNA gene sequencing, and bile acids were quantified by UPLC-MS/MS. Insulin resistance (IR) was assessed using the Homeostasis Model Assessment 2 (HOMA2-IR). PPI use was positively associated with higher levels of FBG and HOMA2-IR after controlling for possible confounders. PPI users exhibited a decreased Firmicutes and an increase in Bacteroidetes phylum, alongside higher levels of glycoursodeoxycholic acid (GUDCA) and taurochenodeoxycholic acid (TCDCA). Higher abundances of Bacteroidetes and Fusobacterium as well as higher levels of TCDCA in PPI users were positively associated with elevated FBG or HOMA2-IR. Mediation analyses indicated that the elevated levels of FBG and HOMA2-IR with PPI use were partially mediated by the alterations in gut microbiota and specific BAs (i.e., Fusobacterium genera and TCDCA). Long-term PPI use may increase FBG and HOMA2-IR levels, and alterations in gut microbiota and BAs profiles may partially explain this association.
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Affiliation(s)
- Qiangsheng He
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory of Chinese Medicine Active Substance Screening and Translational Research, Shenzhen, Guangdong, China
| | - Bin Xia
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory of Chinese Medicine Active Substance Screening and Translational Research, Shenzhen, Guangdong, China
| | - Man Yang
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Kuiqing Lu
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Die Fan
- Clinical Nutrition Department, The General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Wenjing Li
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yuchen Liu
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yihang Pan
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jinqiu Yuan
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
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Kim GH, Kim BR, Yoon HJ, Jeong JH. Alterations in Gut Microbiota and Their Correlation with Brain Beta-Amyloid Burden Measured by 18F-Florbetaben PET in Mild Cognitive Impairment Due to Alzheimer's Disease. J Clin Med 2024; 13:1944. [PMID: 38610709 PMCID: PMC11012963 DOI: 10.3390/jcm13071944] [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: 02/28/2024] [Revised: 03/16/2024] [Accepted: 03/23/2024] [Indexed: 04/14/2024] Open
Abstract
(1) Background: This study investigated changes in the gut microbial composition of individuals with mild cognitive impairment (MCI) due to Alzheimer's disease (AD) and their relationship with positron emission tomography (PET) amyloid accumulation. (2) Methods: In total, 17 cognitively normal individuals without amyloid-beta (Aβ) accumulation (Aβ-NC) and 24 with Aβ-positive mild cognitive impairment (Aβ+MCI) who underwent 18F-florbetaben PET and fecal bacterial 16S ribosomal RNA gene sequencing were enrolled. The taxonomic compositions of the Aβ-NC and Aβ+MCI groups were compared. The abundance of taxa was correlated with the standardized uptake value ratio (SUVR), using generalized linear models. (3) Results: There were significant differences in microbiome richness (ACE, p = 0.034 and Chao1, p = 0.024), alpha diversity (Shannon, p = 0.039), and beta diversity (Bray-Curtis, p = 0.018 and Generalized UniFrac, p = 0.034) between the Aβ-NC and Aβ+MCI groups. The global SUVR was positively correlated with the genus Intestinibacter (q = 0.006) and negatively correlated with the genera Roseburia (q = 0.008) and Agathobaculum (q = 0.029). (4) Conclusions: In this study, we identified significant changes in the gut microbiota composition that occur in individuals with MCI due to AD. In particular, the correlation analysis results between PET amyloid burden and gut microbial abundance showed that amyloid deposition is associated with a reduction in specific taxa involved in butyrate production.
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Affiliation(s)
- Geon Ha Kim
- Department of Neurology, Ewha Womans University College of Medicine, Seoul 07804, Republic of Korea;
| | - Bori R. Kim
- Ewha Medical Research Institute, Ewha Womans University, Seoul 07804, Republic of Korea;
| | - Hai-Jeon Yoon
- Department of Nuclear Medicine, Ewha Womans University College of Medicine, Seoul 07804, Republic of Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University College of Medicine, Seoul 07804, Republic of Korea;
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Dilmore AH, Kuplicki R, McDonald D, Kumar M, Estaki M, Youngblut N, Tyakht A, Ackermann G, Blach C, MahmoudianDehkordi S, Dunlop BW, Bhattacharyya S, Guinjoan S, Mandaviya P, Ley RE, Kaddaruh-Dauok R, Paulus MP, Knight R. Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.19.585820. [PMID: 38562901 PMCID: PMC10983923 DOI: 10.1101/2024.03.19.585820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
This study investigated the relationship between gut microbiota and neuropsychiatric disorders (NPDs), specifically anxiety disorder (ANXD) and/or major depressive disorder (MDD), as defined by DSM-IV or V criteria. The study also examined the influence of medication use, particularly antidepressants and/or anxiolytics, classified through the Anatomical Therapeutic Chemical (ATC) Classification System, on the gut microbiota. Both 16S rRNA gene amplicon sequencing and shallow shotgun sequencing were performed on DNA extracted from 666 fecal samples from the Tulsa-1000 and NeuroMAP CoBRE cohorts. The results highlight the significant influence of medication use; antidepressant use is associated with significant differences in gut microbiota beta diversity and has a larger effect size than NPD diagnosis. Next, specific microbes were associated with ANXD and MDD, highlighting their potential for non-pharmacological intervention. Finally, the study demonstrated the capability of Random Forest classifiers to predict diagnoses of NPD and medication use from microbial profiles, suggesting a promising direction for the use of gut microbiota as biomarkers for NPD. The findings suggest that future research on the gut microbiota's role in NPD and its interactions with pharmacological treatments are needed.
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Affiliation(s)
- Amanda Hazel Dilmore
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, California, USA
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Megha Kumar
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Mehrbod Estaki
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Nicholas Youngblut
- Department of Microbiome Science, Max Planck Institute for Biology, Tübingen, Germany
| | - Alexander Tyakht
- Department of Microbiome Science, Max Planck Institute for Biology, Tübingen, Germany
| | - Gail Ackermann
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Colette Blach
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA
- Department of Medicine, Duke University, Durham, North Carolina, USA
- Duke Institute of Brain Sciences, Duke University, Durham, North Carolina, USA
| | | | - Boadie W. Dunlop
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Sudeepa Bhattacharyya
- Department of Biological Sciences, Arkansas Biosciences Institute, Arkansas State University, Jonesboro, AR, USA
| | | | - Pooja Mandaviya
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ruth E. Ley
- Department of Microbiome Science, Max Planck Institute for Biology, Tübingen, Germany
| | - Rima Kaddaruh-Dauok
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA
- Department of Medicine, Duke University, Durham, North Carolina, USA
- Duke Institute of Brain Sciences, Duke University, Durham, North Carolina, USA
| | | | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Department of Computer Science & Engineering, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
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20
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Zidan S, Hilary S, Al Dhaheri AS, Cheikh Ismail L, Ali HI, Apostolopoulos V, Stojanovska L. Could psychobiotics and fermented foods improve mood in middle-aged and older women? Maturitas 2024; 181:107903. [PMID: 38157685 DOI: 10.1016/j.maturitas.2023.107903] [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: 10/05/2023] [Revised: 12/06/2023] [Accepted: 12/15/2023] [Indexed: 01/03/2024]
Abstract
Menopause is a natural physiological phase during which women experience dramatic hormonal fluctuations. These lead to many symptoms, such as depression and anxiety, which, in turn, can negatively affect quality of life. Proper nutrition has an influential role in alleviating depression as well as anxiety. It is well known that gut microbiota dysbiosis contributes to the development of mood disorder. There is mounting evidence that modulating the gut-brain axis may aid in improving mood swings. In this context, this narrative review summarizes recent findings on how aging changes the composition of the gut microbiota and on the association between gut microbiota and mood disorders. In addition, it evaluates the effectiveness of psychobiotics and fermented foods in treating mood swings in middle-aged and older women. A search was done using PubMed, Scopus, and Google Scholar, and thirteen recent articles are included in this review. It is evident that psychobiotic supplementation and fermented foods can improve mood swings via several routes. However, these conclusions are based on only a few studies in middle-aged and older women. Therefore, long-term, well-designed randomized controlled trials are required to fully evaluate whether psychobiotics and fermented foods can be used to treat mood swings in this population.
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Affiliation(s)
- Souzan Zidan
- Department of Nutrition and Health, College of Medicine and Health Sciences, United Arab Emirates University, PO Box 15551, Al Ain, United Arab Emirates.
| | - Serene Hilary
- Department of Nutrition and Health, College of Medicine and Health Sciences, United Arab Emirates University, PO Box 15551, Al Ain, United Arab Emirates
| | - Ayesha S Al Dhaheri
- Department of Nutrition and Health, College of Medicine and Health Sciences, United Arab Emirates University, PO Box 15551, Al Ain, United Arab Emirates
| | - Leila Cheikh Ismail
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Habiba I Ali
- Department of Nutrition and Health, College of Medicine and Health Sciences, United Arab Emirates University, PO Box 15551, Al Ain, United Arab Emirates
| | - Vasso Apostolopoulos
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC 8001, Australia; Immunology Program, Australian Institute for Musculoskeletal Science (AIMSS), St Albans, VIC 3021, Australia
| | - Lily Stojanovska
- Department of Nutrition and Health, College of Medicine and Health Sciences, United Arab Emirates University, PO Box 15551, Al Ain, United Arab Emirates; Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC 8001, Australia.
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21
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Tanelian A, Nankova B, Miari M, Sabban EL. Microbial composition, functionality, and stress resilience or susceptibility: unraveling sex-specific patterns. Biol Sex Differ 2024; 15:20. [PMID: 38409102 PMCID: PMC10898170 DOI: 10.1186/s13293-024-00590-7] [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: 09/05/2023] [Accepted: 01/31/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND Following exposure to traumatic stress, women are twice as likely as men to develop mood disorders. Yet, individual responses to such stress vary, with some people developing stress-induced psychopathologies while others exhibit resilience. The factors influencing sex-related disparities in affective disorders as well as variations in resilience remain unclear; however, emerging evidence suggests differences in the gut microbiota play a role. In this study, using the single prolonged stress (SPS) model of post-traumatic stress disorder, we investigated pre- and post-existing differences in microbial composition, functionality, and metabolites that affect stress susceptibility or resilience in each sex. METHODS Male and female Sprague-Dawley rats were randomly assigned to control or SPS groups. Two weeks following SPS, the animals were exposed to a battery of behavioral tests and decapitated a day later. Based on their anxiety index, they were further categorized as SPS-resilient (SPS-R) or SPS-susceptible (SPS-S). On the day of dissection, cecum, and selected brain tissues were isolated. Stool samples were collected before and after SPS, whereas urine samples were taken before and 30 min into the SPS. RESULTS Before SPS exposure, the sympathoadrenal axis exhibited alterations within male subgroups only. Expression of tight junction protein claudin-5 was lower in brain of SPS-S males, but higher in SPS-R females following SPS. Across the study, alpha diversity remained consistently lower in males compared to females. Beta diversity revealed distinct separations between male and female susceptible groups before SPS, with this separation becoming evident in the resilient groups following SPS. At the genus level, Lactobacillus, Lachnospiraceae_Incertae_Sedis, and Barnesiella exhibited sex-specific alterations, displaying opposing abundances in each sex. Additionally, sex-specific changes were observed in microbial predictive functionality and targeted functional modules both before and after SPS. Alterations in the microbial short-chain fatty acids (SCFAs), were also observed, with major and minor SCFAs being lower in SPS-susceptible males whereas branched-chain SCFAs being higher in SPS-susceptible females. CONCLUSION This study highlights distinct pre- and post-trauma differences in microbial composition, functionality, and metabolites, associated with stress resilience in male and female rats. The findings underscore the importance of developing sex-specific therapeutic strategies to effectively address stress-related disorders. Highlights SPS model induces divergent anxiety and social behavioral responses to traumatic stress in both male and female rodents. SPS-resilient females displayed less anxiety-like behavior and initiated more interactions towards a juvenile rat than SPS-resilient males. Sex-specific pre-existing and SPS-induced differences in the gut microbial composition and predictive functionality were observed in susceptible and resilient rats. SPS-resilient males displayed elevated cecal acetate levels, whereas SPS-susceptible females exhibited heightened branched-chain SCFAs.
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Affiliation(s)
- Arax Tanelian
- Department of Biochemistry and Molecular Biology, New York Medical College, Valhalla, NY, 10595, USA
| | - Bistra Nankova
- Department of Biochemistry and Molecular Biology, New York Medical College, Valhalla, NY, 10595, USA
- Division of Newborn Medicine, Departments of Pediatrics, New York Medical College, Valhalla, NY, 10595, USA
| | - Mariam Miari
- Department of Clinical Sciences in Malmo, Lund University Diabetes Center, Malmo, Sweden
| | - Esther L Sabban
- Department of Biochemistry and Molecular Biology, New York Medical College, Valhalla, NY, 10595, USA.
- Department of Psychiatry and Behavioral Science, New York Medical College, Valhalla, NY, 10595, USA.
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22
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Chernonosov AA, Mednova IA, Levchuk LA, Mazurenko EO, Roschina OV, Simutkin GG, Bokhan NA, Koval VV, Ivanova SA. Untargeted Plasma Metabolomic Profiling in Patients with Depressive Disorders: A Preliminary Study. Metabolites 2024; 14:110. [PMID: 38393002 PMCID: PMC10890195 DOI: 10.3390/metabo14020110] [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: 01/07/2024] [Revised: 02/02/2024] [Accepted: 02/04/2024] [Indexed: 02/25/2024] Open
Abstract
Depressive disorder is a multifactorial disease that is based on dysfunctions in mental and biological processes. The search for biomarkers can improve its diagnosis, personalize therapy, and lead to a deep understanding of the biochemical processes underlying depression. The purpose of this work was a metabolomic analysis of blood serum to classify patients with depressive disorders and healthy individuals using Compound Discoverer software. Using high-resolution mass spectrometry, blood plasma samples from 60 people were analyzed, of which 30 were included in a comparison group (healthy donors), and 30 were patients with a depressive episode (F32.11) and recurrent depressive disorder (F33.11). Differences between patient and control groups were identified using the built-in utilities in Compound Discoverer software. Compounds were identified by their accurate mass and fragment patterns using the mzCloud database and tentatively identified by their exact mass using the ChemSpider search engine and the KEGG, ChEBI, FDA UNII-NLM, Human Metabolome and LipidMAPS databases. We identified 18 metabolites that could divide patients with depressive disorders from healthy donors. Of these, only two compounds were tentatively identified using the mzCloud database (betaine and piperine) based on their fragmentation spectra. For three compounds ((4S,5S,8S,10R)-4,5,8-trihydroxy-10-methyl-3,4,5,8,9,10-hexahydro-2H-oxecin-2-one, (2E,4E)-N-(2-hydroxy-2-methylpropyl)-2,4-tetradecadienamide and 17α-methyl-androstan-3-hydroxyimine-17β-ol), matches were found in the mzCloud database but with low score, which could not serve as reliable evidence of their structure. Another 13 compounds were identified by their exact mass in the ChemSpider database, 9 (g-butyrobetaine, 6-diazonio-5-oxo-L-norleucine, 11-aminoundecanoic acid, methyl N-acetyl-2-diazonionorleucinate, glycyl-glycyl-argininal, dilaurylmethylamine, 12-ketodeoxycholic acid, dicetylamine, 1-linoleoyl-2-hydroxy-sn-glycero-3-PC) had only molecular formulas proposed, and 4 were unidentified. Thus, the use of Compound Discoverer software alone was not sufficient to identify all revealed metabolites. Nevertheless, the combination of the found metabolites made it possible to divide patients with depressive disorders from healthy donors.
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Affiliation(s)
- Alexander A Chernonosov
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of Russian Academy of Sciences, Lavrentyev Avenue 8, Novosibirsk 630090, Russia
| | - Irina A Mednova
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
| | - Lyudmila A Levchuk
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
| | - Ekaterina O Mazurenko
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of Russian Academy of Sciences, Lavrentyev Avenue 8, Novosibirsk 630090, Russia
| | - Olga V Roschina
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
| | - German G Simutkin
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
| | - Nikolay A Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, Moskovsky Trakt 2, Tomsk 634050, Russia
| | - Vladimir V Koval
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of Russian Academy of Sciences, Lavrentyev Avenue 8, Novosibirsk 630090, Russia
| | - Svetlana A Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, Moskovsky Trakt 2, Tomsk 634050, Russia
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23
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Knudsen JK, Bundgaard-Nielsen C, Leutscher P, Hjerrild S, Nielsen RE, Sørensen S. Differences in bacterial taxa between treatment-naive patients with major depressive disorder and non-affected controls may be related to a proinflammatory profile. BMC Psychiatry 2024; 24:84. [PMID: 38297265 PMCID: PMC10832199 DOI: 10.1186/s12888-024-05547-z] [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: 09/04/2023] [Accepted: 01/21/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is characterized by sadness and anhedonia, but also physical symptoms such as changes in appetite and weight. Gut microbiota has been hypothesized to be involved in MDD through gut-brain axis signaling. Moreover, antidepressants display antibacterial properties in the gastrointestinal tract. The aim of this study was to compare the gut microbiota and systemic inflammatory profile of young patients with MDD before and after initiation of antidepressant treatment and/or psychotherapy in comparison with a non-depressed control group (nonMDD). METHODS Fecal and blood samples were collected at baseline and at follow-up after four and twelve weeks, respectively. Patients started treatment immediately after collection of the baseline samples. The gut microbiota was characterized by 16 S rRNA gene sequencing targeting the hypervariable V4 region. Plasma levels of 49 unique immune markers were assessed using Mesoscale. RESULTS In total, 27 MDD patients and 32 nonMDD controls were included in the study. The gut microbiota in the baseline samples of MDD versus nonMDD participants did not differ regarding α- or β-diversity. However, there was a higher relative abundance of the genera Ruminococcus gnavus group, and a lower relative abundance of the genera Desulfovibrio, Tyzzerella, Megamonas, Olsenella, Gordonibacter, Allisonella and Rothia in the MDD group compared to the nonMDD group. In the MDD group, there was an increase in the genera Rothia, Desulfovibrio, Gordinobacteer and Lactobacillus, while genera belonging to the Firmicutes phylum were found depleted at twelve weeks follow-up compared to baseline. In the MDD group, IL-7, IL-8 and IL-17b levels were elevated compared to the nonMDD group at baseline. Furthermore, MDI score in the MDD group was found to correlate with Bray-Curtis dissimilarity at baseline, and several inflammatory markers at both baseline and after initiation of antidepressant treatment. CONCLUSION Several bacterial taxa differed between the MDD group and the nonMDD group at baseline and changed in relative abundance during antidepressant treatment and/or psychotherapy. The MDD group was furthermore found to have a pro-inflammatory profile compared to the nonMDD group at baseline. Further studies are required to investigate the gut microbiota and pro-inflammatory profile of patients with MDD.
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Affiliation(s)
- Julie Kristine Knudsen
- Centre for Clinical Research, North Denmark Regional Hospital, Bispensgade 37, Hjørring, 9800, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Caspar Bundgaard-Nielsen
- Centre for Clinical Research, North Denmark Regional Hospital, Bispensgade 37, Hjørring, 9800, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Peter Leutscher
- Centre for Clinical Research, North Denmark Regional Hospital, Bispensgade 37, Hjørring, 9800, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Steno Diabetes Center North Denmark, Aalborg, Denmark
| | - Simon Hjerrild
- Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - René Ernst Nielsen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Psychiatry, Aalborg University Hospital, Aalborg, Denmark
| | - Suzette Sørensen
- Centre for Clinical Research, North Denmark Regional Hospital, Bispensgade 37, Hjørring, 9800, Denmark.
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
- Steno Diabetes Center North Denmark, Aalborg, Denmark.
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24
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Muller E, Shiryan I, Borenstein E. Multi-omic integration of microbiome data for identifying disease-associated modules. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.07.03.547607. [PMID: 37461534 PMCID: PMC10349976 DOI: 10.1101/2023.07.03.547607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
The human gut microbiome is a complex ecosystem with profound implications for health and disease. This recognition has led to a surge in multi-omic microbiome studies, employing various molecular assays to elucidate the microbiome's role in diseases across multiple functional layers. However, despite the clear value of these multi-omic datasets, rigorous integrative analysis of such data poses significant challenges, hindering a comprehensive understanding of microbiome-disease interactions. Perhaps most notably, multiple approaches, including univariate and multivariate analyses, as well as machine learning, have been applied to such data to identify disease-associated markers, namely, specific features (e.g., species, pathways, metabolites) that are significantly altered in disease state. These methods, however, often yield extensive lists of features associated with the disease without effectively capturing the multi-layered structure of multi-omic data or offering clear, interpretable hypotheses about underlying microbiome-disease mechanisms. Here, we address this challenge by introducing MintTea - an intermediate integration-based method for analyzing multi-omic microbiome data. MintTea combines a canonical correlation analysis (CCA) extension, consensus analysis, and an evaluation protocol to robustly identify disease-associated multi-omic modules. Each such module consists of a set of features from the various omics that both shift in concord, and collectively associate with the disease. Applying MintTea to diverse case-control cohorts with multi-omic data, we show that this framework is able to capture modules with high predictive power for disease, significant cross-omic correlations, and alignment with known microbiome-disease associations. For example, analyzing samples from a metabolic syndrome (MS) study, we found a MS-associated module comprising of a highly correlated cluster of serum glutamate- and TCA cycle-related metabolites, as well as bacterial species previously implicated in insulin resistance. In another cohort, we identified a module associated with late-stage colorectal cancer, featuring Peptostreptococcus and Gemella species and several fecal amino acids, in agreement with these species' reported role in the metabolism of these amino acids and their coordinated increase in abundance during disease development. Finally, comparing modules identified in different datasets, we detected multiple significant overlaps, suggesting common interactions between microbiome features. Combined, this work serves as a proof of concept for the potential benefits of advanced integration methods in generating integrated multi-omic hypotheses underlying microbiome-disease interactions and a promising avenue for researchers seeking systems-level insights into coherent mechanisms governing microbiome-related diseases.
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25
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Cai J, Xu J, Tan Y, Xiang Y, Li Z, Zheng J, Li Y. Gut microbiota alteration and its association with immune function in post-COVID-19 patients. Folia Microbiol (Praha) 2024:10.1007/s12223-023-01118-z. [PMID: 38177971 DOI: 10.1007/s12223-023-01118-z] [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: 07/15/2023] [Accepted: 12/02/2023] [Indexed: 01/06/2024]
Abstract
To reveal the variation of gut microbiota and its association with immune function in cured patients with coronavirus 2019 (COVID-19) disease, gut microbiota of patients discharged from hospital for 20 ~ 23 months and healthy volunteers was analyzed by high throughput 16S rRNA sequencing. The diversity and abundance were compared, and the correlation with immunity factors was investigated, and changes in the content of 6 genera microorganisms with proportion higher than 0.1% were revealed in patients with COVID-19 disease: reduced content of Subdoligranulum, Haemophilus, Coprococcus, Eubacterium vertriosum group, and Lachnospiraceae ND3007 group and increased content of Hungatella. NK cells were negatively correlated to Subdoligranulum, while CD8 cells were positively correlated to Subdoligranulum but negative to Hungatella. IL-8 concentration was negatively correlated to Subdoligranulum, Haemophilus, Coprococcus, Eubacterium vertriosum group, and Lachnospiraceae ND3007 group but positively to Hungatella, while IL-1β concentration was negatively correlated to Haemophilus and Eubacterium ventriosum group but positively to Hungatella. The variation of probiotics and potential pathogenic bacteria implies a higher risk in diseases and inflammation, and the modulation of the gut microbiota may help the healing of COVID-19 patients.
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Affiliation(s)
- Jiaojiao Cai
- College of Public Health, Chongqing Medical University, Chongqing, 400016, China
- Microbiological Laboratory, Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Jingru Xu
- Microbiological Laboratory, Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Yan Tan
- Microbiological Laboratory, Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Yao Xiang
- Microbiological Laboratory, Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Zhifeng Li
- Microbiological Laboratory, Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Juan Zheng
- Department of Neurology, Chongqing Red Cross Hospital (People's Hospital of Jiangbei District), Chongqing, 400020, China
| | - Yingli Li
- College of Public Health, Chongqing Medical University, Chongqing, 400016, China.
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26
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Wang J, Xin J, Xu X, Chen W, Lv Y, Wei Y, Wei X, Li Z, Ding Q, Zhao H, Wen Y, Zhang X, Fang Y, Zu X. Bacopaside I alleviates depressive-like behaviors by modulating the gut microbiome and host metabolism in CUMS-induced mice. Biomed Pharmacother 2024; 170:115679. [PMID: 38113632 DOI: 10.1016/j.biopha.2023.115679] [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: 08/28/2023] [Revised: 10/06/2023] [Accepted: 10/07/2023] [Indexed: 12/21/2023] Open
Abstract
Bacopaside I (BSI) is a natural compound that is difficult to absorb orally but has been shown to have antidepressant effects. The microbiota-gut-brain axis is involved in the development of depression through the peripheral nervous system, endocrine system, and immune system and may be a key factor in the effect of BSI. Therefore, this study aimed to investigate the potential mechanism of BSI in the treatment of depression via the microbiota-gut-brain axis and to validate it in a fecal microbiota transplantation model. The antidepressant effect of BSI was established in CUMS-induced mice using behavioral tests and measurement of changes in hypothalamicpituitaryadrenal (HPA) axis-related hormones. The improvement of stress-induced gut-brain axis damage by BSI was observed by histopathological sections and enzyme-linked immunosorbent assay (ELISA). 16 S rDNA sequencing analysis indicated that BSI could modulate the abundance of gut microbiota and increase the abundance of probiotic bacteria. We also observed an increase in short-chain fatty acids, particularly acetic acid. In addition, BSI could modulate the disruption of lipid metabolism induced by CUMS. Fecal microbiota transplantation further confirmed that disruption of the microbiota-gut-brain axis is closely associated with the development of depression, and that the microbiota regulated by BSI exerts a partial antidepressant effect. In conclusion, BSI exerts antidepressant effects by remodeling gut microbiota, specifically through the Lactobacillus and Streptococcus-acetic acid-neurotrophin signaling pathways. Furthermore, BSI can repair damage to the gut-brain axis, regulate HPA axis dysfunction, and maintain immune homeostasis.
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Affiliation(s)
- Jie Wang
- Department of Natural Medicinal Chemistry, School of Pharmacy, Naval Medical University, Shanghai 200433, China; Department of Pharmaceutical Analysis, School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Jiayun Xin
- Department of Natural Medicinal Chemistry, School of Pharmacy, Naval Medical University, Shanghai 200433, China; Department of Pharmaceutical Analysis, School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Xike Xu
- Department of Natural Medicinal Chemistry, School of Pharmacy, Naval Medical University, Shanghai 200433, China
| | - Wei Chen
- Department of Natural Medicinal Chemistry, School of Pharmacy, Naval Medical University, Shanghai 200433, China
| | - Yanhui Lv
- Department of Pharmaceutical Analysis, School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Yanping Wei
- Department of Pharmaceutical Analysis, School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Xintong Wei
- Department of Pharmaceutical Analysis, School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Zhanhong Li
- Department of Pharmaceutical Analysis, School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou 510640, China
| | - Qianqian Ding
- Department of Natural Medicinal Chemistry, School of Pharmacy, Anhui University of Traditional Chinese Medicine, Hefei 230012, China
| | - Houyu Zhao
- Department of Diving and Hyperbaric Medical Research, Naval Medical Center, Naval Medical University, Shanghai 200433, China
| | - Yukun Wen
- Department of Diving and Hyperbaric Medical Research, Naval Medical Center, Naval Medical University, Shanghai 200433, China
| | - Xiuyun Zhang
- Department of Pharmaceutical Analysis, School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
| | - Yiqun Fang
- Department of Diving and Hyperbaric Medical Research, Naval Medical Center, Naval Medical University, Shanghai 200433, China.
| | - Xianpeng Zu
- Department of Natural Medicinal Chemistry, School of Pharmacy, Naval Medical University, Shanghai 200433, China.
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27
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Giatti S, Diviccaro S, Cioffi L, Cosimo Melcangi R. Post-Finasteride Syndrome And Post-Ssri Sexual Dysfunction: Two Clinical Conditions Apparently Distant, But Very Close. Front Neuroendocrinol 2024; 72:101114. [PMID: 37993021 DOI: 10.1016/j.yfrne.2023.101114] [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: 09/28/2023] [Revised: 10/31/2023] [Accepted: 11/19/2023] [Indexed: 11/24/2023]
Abstract
Post-finasteride syndrome and post-SSRI sexual dysfunction, are two poorly explored clinical conditions in which men treated for androgenetic alopecia with finasteride or for depression with SSRI antidepressants show persistent side effects despite drug suspension (e.g., sexual dysfunction, psychological complaints, sleep disorders). Because of some similarities in the symptoms, common pathological mechanisms are proposed here. Indeed, as discussed, clinical studies and preclinical data obtained so far suggest an important role for brain modulators (i.e., neuroactive steroids), neurotransmitters (i.e., serotonin, and cathecolamines), and gut microbiota in the context of the gut-brain axis. In particular, the observed interconnections of these signals in these two clinical conditions may suggest similar etiopathogenetic mechanisms, such as the involvement of the enzyme converting norepinephrine into epinephrine (i.e., phenylethanolamine N-methyltransferase). However, despite the current efforts, more work is still needed to advance the understanding of these clinical conditions in terms of diagnostic markers and therapeutic strategies.
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Affiliation(s)
- Silvia Giatti
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milano, Italy
| | - Silvia Diviccaro
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milano, Italy
| | - Lucia Cioffi
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milano, Italy
| | - Roberto Cosimo Melcangi
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milano, Italy.
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28
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Nohesara S, Abdolmaleky HM, Zhou JR, Thiagalingam S. Microbiota-Induced Epigenetic Alterations in Depressive Disorders Are Targets for Nutritional and Probiotic Therapies. Genes (Basel) 2023; 14:2217. [PMID: 38137038 PMCID: PMC10742434 DOI: 10.3390/genes14122217] [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: 11/15/2023] [Revised: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Major depressive disorder (MDD) is a complex disorder and a leading cause of disability in 280 million people worldwide. Many environmental factors, such as microbes, drugs, and diet, are involved in the pathogenesis of depressive disorders. However, the underlying mechanisms of depression are complex and include the interaction of genetics with epigenetics and the host immune system. Modifications of the gut microbiome and its metabolites influence stress-related responses and social behavior in patients with depressive disorders by modulating the maturation of immune cells and neurogenesis in the brain mediated by epigenetic modifications. Here, we discuss the potential roles of a leaky gut in the development of depressive disorders via changes in gut microbiota-derived metabolites with epigenetic effects. Next, we will deliberate how altering the gut microbiome composition contributes to the development of depressive disorders via epigenetic alterations. In particular, we focus on how microbiota-derived metabolites such as butyrate as an epigenetic modifier, probiotics, maternal diet, polyphenols, drugs (e.g., antipsychotics, antidepressants, and antibiotics), and fecal microbiota transplantation could positively alleviate depressive-like behaviors by modulating the epigenetic landscape. Finally, we will discuss challenges associated with recent therapeutic approaches for depressive disorders via microbiome-related epigenetic shifts, as well as opportunities to tackle such problems.
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Affiliation(s)
- Shabnam Nohesara
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
| | - Hamid Mostafavi Abdolmaleky
- Nutrition/Metabolism Laboratory, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boson, MA 02215, USA;
| | - Jin-Rong Zhou
- Nutrition/Metabolism Laboratory, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boson, MA 02215, USA;
| | - Sam Thiagalingam
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Pathology & Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
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29
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Zhang SH, Jia XY, Wu Q, Jin J, Xu LS, Yang L, Han JG, Zhou QH. The involvement of the gut microbiota in postoperative cognitive dysfunction based on integrated metagenomic and metabolomics analysis. Microbiol Spectr 2023; 11:e0310423. [PMID: 38108273 PMCID: PMC10714990 DOI: 10.1128/spectrum.03104-23] [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: 08/22/2023] [Accepted: 10/23/2023] [Indexed: 12/19/2023] Open
Abstract
IMPORTANCE As the population ages and medical technology advances, anesthesia procedures for elderly patients are becoming more common, leading to an increased prevalence of postoperative cognitive dysfunction. However, the etiology and correlation between the gut microbiota and cognitive dysfunction are poorly understood, and research in this area is limited. In this study, mice with postoperative cognitive dysfunction were found to have reduced levels of fatty acid production and anti-inflammatory flora in the gut, and Bacteroides was associated with increased depression, leading to cognitive dysfunction and depression. Furthermore, more specific microbial species were identified in the disease model, suggesting that modulation of host metabolism through gut microbes may be a potential avenue for preventing postoperative cognitive dysfunction.
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Affiliation(s)
- Shi-hua Zhang
- Department of Anesthesiology and Pain Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China
- College of Life Science and Medicine, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China
| | - Xiao-yu Jia
- Department of Anesthesiology and Pain Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China
| | - Qing Wu
- Department of Anesthesiology and Pain Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China
- College of Life Science and Medicine, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China
| | - Jia Jin
- College of Life Science and Medicine, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China
| | - Long-sheng Xu
- Department of Anesthesiology and Pain Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China
| | - Lei Yang
- Department of Anesthesiology and Pain Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China
| | - Jun-gang Han
- Department of Anesthesiology and Pain Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China
| | - Qing-he Zhou
- Department of Anesthesiology and Pain Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China
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30
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Gao M, Wang J, Liu P, Tu H, Zhang R, Zhang Y, Sun N, Zhang K. Gut microbiota composition in depressive disorder: a systematic review, meta-analysis, and meta-regression. Transl Psychiatry 2023; 13:379. [PMID: 38065935 PMCID: PMC10709466 DOI: 10.1038/s41398-023-02670-5] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 10/22/2023] [Accepted: 11/17/2023] [Indexed: 12/18/2023] Open
Abstract
Studies investigating gut microbiota composition in depressive disorder have yielded mixed results. The aim of our study was to compare gut microbiome between people with depressive disorder and healthy controls. We did a meta-analysis and meta-regression of studies by searching PubMed, Web of Science, Embase, Scopus, Ovid, Cochrane Library, ProQuest, and PsycINFO for articles published from database inception to March 07, 2022. Search strategies were then re-run on 12 March 2023 for an update. We undertook meta-analyses whenever values of alpha diversity and Firmicutes, Bacteroidetes (relative abundance) were available in two or more studies. A random-effects model with restricted maximum-likelihood estimator was used to synthesize the effect size (assessed by standardized mean difference [SMD]) across studies. We identified 44 studies representing 2091 patients and 2792 controls. Our study found that there were no significant differences in patients with depressive disorder on alpha diversity indices, Firmicutes and Bacteroidetes compared with healthy controls. In subgroup analyses with regional variations(east/west) as a predictor, patients who were in the West had a lower Chao1 level (SMD -0.42[-0.74 to -0.10]). Subgroup meta-analysis showed Firmicutes level was decreased in patients with depressive disorder who were medication-free (SMD -1.54[-2.36 to -0.72]), but Bacteroidetes level was increased (SMD -0.90[0.07 to 1.72]). In the meta-regression analysis, six variables cannot explain the 100% heterogeneity of the studies assessing by Chao1, Shannon index, Firmicutes, and Bacteroidetes. Depleted levels of Butyricicoccus, Coprococcus, Faecalibacterium, Fusicatenibacter, Romboutsia, and enriched levels of Eggerthella, Enterococcus, Flavonifractor, Holdemania, Streptococcus were consistently shared in depressive disorder. This systematic review and meta-analysis found that psychotropic medication and dietary habit may influence microbiota. There is reliable evidence for differences in the phylogenetic relationship in depressive disorder compared with controls, however, method of measurement and method of patient classification (symptom vs diagnosis based) may affect findings. Depressive disorder is characterized by an increase of pro-inflammatory bacteria, while anti-inflammatory butyrate-producing genera are depleted.
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Affiliation(s)
- Mingxue Gao
- Department of Psychiatry, First Hospital of Shanxi Medical University, 030001, Taiyuan, China
- First Clinical Medical College, Shanxi Medical University, 030001, Taiyuan, China
| | - Jizhi Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, 030001, Taiyuan, China
- First Clinical Medical College, Shanxi Medical University, 030001, Taiyuan, China
| | - Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, 030001, Taiyuan, China
- First Clinical Medical College, Shanxi Medical University, 030001, Taiyuan, China
| | - Hongwei Tu
- Department of Psychiatry, First Hospital of Shanxi Medical University, 030001, Taiyuan, China
- First Clinical Medical College, Shanxi Medical University, 030001, Taiyuan, China
| | - Ruiyu Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, 030001, Taiyuan, China
- First Clinical Medical College, Shanxi Medical University, 030001, Taiyuan, China
| | - Yanyan Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, 030001, Taiyuan, China
- Basic Medical College, Shanxi Medical University, 030001, Taiyuan, China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, 030001, Taiyuan, China.
- First Clinical Medical College, Shanxi Medical University, 030001, Taiyuan, China.
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, 030001, Taiyuan, China.
- First Clinical Medical College, Shanxi Medical University, 030001, Taiyuan, China.
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31
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Zeamer AL, Salive MC, An X, Beaudoin FL, House SL, Stevens JS, Zeng D, Neylan TC, Clifford GD, Linnstaedt SD, Rauch SL, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Jones CW, Punches BE, Swor RA, Hudak LA, Pascual JL, Seamon MJ, Harris E, Pearson C, Peak DA, Merchant RC, Domeier RM, Rathlev NK, O'Neil BJ, Sergot P, Sanchez LD, Bruce SE, Kessler RC, Koenen KC, McLean SA, Bucci V, Haran JP. Association between microbiome and the development of adverse posttraumatic neuropsychiatric sequelae after traumatic stress exposure. Transl Psychiatry 2023; 13:354. [PMID: 37980332 PMCID: PMC10657470 DOI: 10.1038/s41398-023-02643-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 10/20/2023] [Accepted: 10/30/2023] [Indexed: 11/20/2023] Open
Abstract
Patients exposed to trauma often experience high rates of adverse post-traumatic neuropsychiatric sequelae (APNS). The biological mechanisms promoting APNS are currently unknown, but the microbiota-gut-brain axis offers an avenue to understanding mechanisms as well as possibilities for intervention. Microbiome composition after trauma exposure has been poorly examined regarding neuropsychiatric outcomes. We aimed to determine whether the gut microbiomes of trauma-exposed emergency department patients who develop APNS have dysfunctional gut microbiome profiles and discover potential associated mechanisms. We performed metagenomic analysis on stool samples (n = 51) from a subset of adults enrolled in the Advancing Understanding of RecOvery afteR traumA (AURORA) study. Two-, eight- and twelve-week post-trauma outcomes for post-traumatic stress disorder (PTSD) (PTSD checklist for DSM-5), normalized depression scores (PROMIS Depression Short Form 8b) and somatic symptom counts were collected. Generalized linear models were created for each outcome using microbial abundances and relevant demographics. Mixed-effect random forest machine learning models were used to identify associations between APNS outcomes and microbial features and encoded metabolic pathways from stool metagenomics. Microbial species, including Flavonifractor plautii, Ruminococcus gnavus and, Bifidobacterium species, which are prevalent commensal gut microbes, were found to be important in predicting worse APNS outcomes from microbial abundance data. Notably, through APNS outcome modeling using microbial metabolic pathways, worse APNS outcomes were highly predicted by decreased L-arginine related pathway genes and increased citrulline and ornithine pathways. Common commensal microbial species are enriched in individuals who develop APNS. More notably, we identified a biological mechanism through which the gut microbiome reduces global arginine bioavailability, a metabolic change that has also been demonstrated in the plasma of patients with PTSD.
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Affiliation(s)
- Abigail L Zeamer
- Department of Microbiology and Physiologic Systems, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Marie-Claire Salive
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Xinming An
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Francesca L Beaudoin
- Department of Epidemiology, Brown University, Providence, RI, USA
- Department of Emergency Medicine, Brown University, Providence, RI, USA
| | - Stacey L House
- Department of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Donglin Zeng
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Thomas C Neylan
- Departments of Psychiatry and Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Gari D Clifford
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- The Many Brains Project, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Scott L Rauch
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, McLean Hospital, Belmont, MA, USA
| | - Alan B Storrow
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Paul I Musey
- Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Phyllis L Hendry
- Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, USA
| | - Sophia Sheikh
- Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, USA
| | - Christopher W Jones
- Department of Emergency Medicine, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Brittany E Punches
- Department of Emergency Medicine, Ohio State University College of Medicine, Columbus, OH, USA
- Ohio State University College of Nursing, Columbus, OH, USA
| | - Robert A Swor
- Department of Emergency Medicine, Oakland University William Beaumont School of Medicine, Rochester, MI, USA
| | - Lauren A Hudak
- Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Jose L Pascual
- Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark J Seamon
- Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Erica Harris
- Department of Emergency Medicine, Einstein Medical Center, Philadelphia, PA, USA
| | - Claire Pearson
- Department of Emergency Medicine, Wayne State University, Ascension St. John Hospital, Detroit, MI, USA
| | - David A Peak
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Roland C Merchant
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Robert M Domeier
- Department of Emergency Medicine, Trinity Health-Ann Arbor, Ypsilanti, MI, USA
| | - Niels K Rathlev
- Department of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA, USA
| | - Brian J O'Neil
- Department of Emergency Medicine, Wayne State University, Detroit Receiving Hospital, Detroit, MI, USA
| | - Paulina Sergot
- Department of Emergency Medicine, McGovern Medical School at UTHealth, Houston, TX, USA
| | - Leon D Sanchez
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Emergency Medicine, Harvard Medical School, Boston, MA, USA
| | - Steven E Bruce
- Department of Psychological Sciences, University of Missouri - St. Louis, St. Louis, MO, USA
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | | | - Samuel A McLean
- Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Vanni Bucci
- Department of Microbiology and Physiologic Systems, University of Massachusetts Chan Medical School, Worcester, MA, USA.
- Program in Microbiome Dynamics, University of Massachusetts Chan Medical School, Worcester, MA, USA.
| | - John P Haran
- Department of Microbiology and Physiologic Systems, University of Massachusetts Chan Medical School, Worcester, MA, USA.
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
- Program in Microbiome Dynamics, University of Massachusetts Chan Medical School, Worcester, MA, USA.
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32
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Angelova IY, Kovtun AS, Averina OV, Koshenko TA, Danilenko VN. Unveiling the Connection between Microbiota and Depressive Disorder through Machine Learning. Int J Mol Sci 2023; 24:16459. [PMID: 38003647 PMCID: PMC10671666 DOI: 10.3390/ijms242216459] [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: 09/30/2023] [Revised: 11/13/2023] [Accepted: 11/15/2023] [Indexed: 11/26/2023] Open
Abstract
In the last few years, investigation of the gut-brain axis and the connection between the gut microbiota and the human nervous system and mental health has become one of the most popular topics. Correlations between the taxonomic and functional changes in gut microbiota and major depressive disorder have been shown in several studies. Machine learning provides a promising approach to analyze large-scale metagenomic data and identify biomarkers associated with depression. In this work, machine learning algorithms, such as random forest, elastic net, and You Only Look Once (YOLO), were utilized to detect significant features in microbiome samples and classify individuals based on their disorder status. The analysis was conducted on metagenomic data obtained during the study of gut microbiota of healthy people and patients with major depressive disorder. The YOLO method showed the greatest effectiveness in the analysis of the metagenomic samples and confirmed the experimental results on the critical importance of a reduction in the amount of Faecalibacterium prausnitzii for the manifestation of depression. These findings could contribute to a better understanding of the role of the gut microbiota in major depressive disorder and potentially lead the way for novel diagnostic and therapeutic strategies.
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Affiliation(s)
- Irina Y. Angelova
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), 119333 Moscow, Russia; (A.S.K.); (O.V.A.); (V.N.D.)
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33
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Shen R, Li Z, Wang H, Wang Y, Li X, Yang Q, Fu Y, Li M, Gao LN. Chinese Materia Medica in Treating Depression: The Role of Intestinal Microenvironment. THE AMERICAN JOURNAL OF CHINESE MEDICINE 2023; 51:1927-1955. [PMID: 37930334 DOI: 10.1142/s0192415x23500854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
Depression is a highly heterogeneous mental illness. Drug treatment is currently the main therapeutic strategy used in the clinic, but its efficacy is limited by the modulation of a single target, slow onset, and side effects. The gut-brain axis is of increasing interest because intestinal microenvironment disorders increase susceptibility to depression. In turn, depression affects intestinal microenvironment homeostasis by altering intestinal tissue structure, flora abundance and metabolism, hormone secretion, neurotransmitter transmission, and immune balance. Depression falls into the category of "stagnation syndrome" according to Traditional Chinese Medicine (TCM), which further specifies that "the heart governs the spirit and is exterior-interior with the small intestine". However, the exact mechanisms of the means by which the disordered intestinal microenvironment affects depression are still unclear. Here, we present an overview of how the Chinese materia medica (CMM) protects against depression by repairing intestinal microenvironment homeostasis. We review the past five years of research progress in classical antidepressant TCM formulae and single CMMs on regulating the intestinal microenvironment for the treatment of depression. We then analyze and clarify the multitarget functions of CMM in repairing intestinal homeostasis and aim to provide a new theoretical basis for CMM clinical application in the treatment of depression.
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Affiliation(s)
- Ruhui Shen
- College of Pharmacy, Binzhou Medical University, Yantai, Shandong 264003, P. R. China
- College of Pharmacy, Jining Medical University, Rizhao, Shandong 276800, P. R. China
| | - Zhipeng Li
- College of Pharmacy, Binzhou Medical University, Yantai, Shandong 264003, P. R. China
| | - Huiyun Wang
- College of Pharmacy, Jining Medical University, Rizhao, Shandong 276800, P. R. China
- Shandong Collaborative Innovation Center for Diagnosis, Treatment and Behavioral Interventions of Mental Disorders, Institute of Mental Health, Jining Medical University, Jining, Shandong 272067, P. R. China
| | - Yongchao Wang
- Rizhao Hospital of Traditional Chinese Medicine, Rizhao, Shandong 276800, P. R. China
| | - Xiaofang Li
- Rizhao Hospital of Traditional Chinese Medicine, Rizhao, Shandong 276800, P. R. China
| | - Qian Yang
- College of Pharmacy, Jining Medical University, Rizhao, Shandong 276800, P. R. China
| | - Yingjie Fu
- College of Pharmacy, Jining Medical University, Rizhao, Shandong 276800, P. R. China
| | - Ming Li
- College of Pharmacy, Jining Medical University, Rizhao, Shandong 276800, P. R. China
| | - Li-Na Gao
- College of Pharmacy, Jining Medical University, Rizhao, Shandong 276800, P. R. China
- Shandong Collaborative Innovation Center for Diagnosis, Treatment and Behavioral Interventions of Mental Disorders, Institute of Mental Health, Jining Medical University, Jining, Shandong 272067, P. R. China
- Jining Key Laboratory of Depression Prevention and Treatment, Jining Medical University, Jining, Shandong 272067, P. R. China
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34
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Tanniche I, Behkam B. Engineered live bacteria as disease detection and diagnosis tools. J Biol Eng 2023; 17:65. [PMID: 37875910 PMCID: PMC10598922 DOI: 10.1186/s13036-023-00379-z] [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: 05/11/2023] [Accepted: 09/18/2023] [Indexed: 10/26/2023] Open
Abstract
Sensitive and minimally invasive medical diagnostics are essential to the early detection of diseases, monitoring their progression and response to treatment. Engineered bacteria as live sensors are being developed as a new class of biosensors for sensitive, robust, noninvasive, and in situ detection of disease onset at low cost. Akin to microrobotic systems, a combination of simple genetic rules, basic logic gates, and complex synthetic bioengineering principles are used to program bacterial vectors as living machines for detecting biomarkers of diseases, some of which cannot be detected with other sensing technologies. Bacterial whole-cell biosensors (BWCBs) can have wide-ranging functions from detection only, to detection and recording, to closed-loop detection-regulated treatment. In this review article, we first summarize the unique benefits of bacteria as living sensors. We then describe the different bacteria-based diagnosis approaches and provide examples of diagnosing various diseases and disorders. We also discuss the use of bacteria as imaging vectors for disease detection and image-guided surgery. We conclude by highlighting current challenges and opportunities for further exploration toward clinical translation of these bacteria-based systems.
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Affiliation(s)
- Imen Tanniche
- Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Bahareh Behkam
- Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
- School of Biomedical Engineered and Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
- Center for Engineered Health, Institute for Critical Technology and Applied Science, Virginia Tech, Blacksburg, VA, 24061, USA.
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35
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Barandouzi ZA, Eng T, Shelton J, Khanna N, Scott I, Meador R, Bruner DW. Associations of the gut microbiome with psychoneurological symptom cluster in women with gynecologic cancers: a longitudinal study. Support Care Cancer 2023; 31:626. [PMID: 37819383 DOI: 10.1007/s00520-023-08058-x] [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: 05/05/2023] [Accepted: 09/20/2023] [Indexed: 10/13/2023]
Abstract
PURPOSE The present study aimed to evaluate the associations between the gut microbiome and psychoneurological symptoms (PNS) cluster in women with gynecologic cancers over time. METHODS In this secondary data analysis, 19 women with cervical and endometrial cancers treated with radiotherapy were followed at pre-treatment, 6-8 weeks, and 6 months post-treatment. To measure symptoms, Functional Assessment of Cancer Therapy-General (FACT-G) and Patient Health Questionnaire-9 (PHQ-9) were used. An average Z score of at least three out of five symptoms was computed as the PNS cluster total score. Rectal swabs were also collected at the same time points and sequenced using 16S rRNA V4 regions. The Kruskal-Wallis and permutational multivariable analysis of variance tests were used to compare α- and β-diversity between patients with high and low PNS cluster. The linear discriminant analysis effect size (LEfSe) tested taxa differences between study groups. Also, the linear mixed-effect model was used to evaluate the association of the gut microbiome and the PNS cluster over cancer treatment. RESULTS The patients' mean age was 58 years, 47% Black, 52% single/divorced, and 66% had college or above education. Among the participants, 63% had endometrial cancer with stage I disease. There was a different taxonomy profile between patients with high and low PNS. Patients with high PNS had a lower α-diversity than those with low PNS (Shannon, p = 0.03, evenness, p = 0.03). The mixed effects model results showed that low α-diversity and abundance of Fusicatenibacter and Ruminococcus were associated with high PNS cluster over cancer treatment. CONCLUSION The association between the gut microbiome and PNS cluster suggest that the gut microbiota plays a role in developing the PNS cluster. Future larger studies are required to shed light on the gut microbiota role in symptom development in gynecologic cancer patients.
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Affiliation(s)
- Zahra Amirkhanzadeh Barandouzi
- School of Nursing, Emory University, 1520 Clifton Road NE, Atlanta, GA, 30322, USA
- Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA
| | - Tony Eng
- Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA
- School of Medicine, Emory University, 201 Dowman Dr, Atlanta, GA, 30322, USA
| | - Joseph Shelton
- Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA
- School of Medicine, Emory University, 201 Dowman Dr, Atlanta, GA, 30322, USA
| | - Namita Khanna
- Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA
- School of Medicine, Emory University, 201 Dowman Dr, Atlanta, GA, 30322, USA
| | - Isabelle Scott
- School of Nursing, Emory University, 1520 Clifton Road NE, Atlanta, GA, 30322, USA
| | - Rebecca Meador
- School of Nursing, Emory University, 1520 Clifton Road NE, Atlanta, GA, 30322, USA
| | - Deborah Watkins Bruner
- School of Nursing, Emory University, 1520 Clifton Road NE, Atlanta, GA, 30322, USA.
- Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA.
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Widjaja F, Rietjens IMCM. From-Toilet-to-Freezer: A Review on Requirements for an Automatic Protocol to Collect and Store Human Fecal Samples for Research Purposes. Biomedicines 2023; 11:2658. [PMID: 37893032 PMCID: PMC10603957 DOI: 10.3390/biomedicines11102658] [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: 09/04/2023] [Revised: 09/22/2023] [Accepted: 09/24/2023] [Indexed: 10/29/2023] Open
Abstract
The composition, viability and metabolic functionality of intestinal microbiota play an important role in human health and disease. Studies on intestinal microbiota are often based on fecal samples, because these can be sampled in a non-invasive way, although procedures for sampling, processing and storage vary. This review presents factors to consider when developing an automated protocol for sampling, processing and storing fecal samples: donor inclusion criteria, urine-feces separation in smart toilets, homogenization, aliquoting, usage or type of buffer to dissolve and store fecal material, temperature and time for processing and storage and quality control. The lack of standardization and low-throughput of state-of-the-art fecal collection procedures promote a more automated protocol. Based on this review, an automated protocol is proposed. Fecal samples should be collected and immediately processed under anaerobic conditions at either room temperature (RT) for a maximum of 4 h or at 4 °C for no more than 24 h. Upon homogenization, preferably in the absence of added solvent to allow addition of a buffer of choice at a later stage, aliquots obtained should be stored at either -20 °C for up to a few months or -80 °C for a longer period-up to 2 years. Protocols for quality control should characterize microbial composition and viability as well as metabolic functionality.
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Affiliation(s)
- Frances Widjaja
- Division of Toxicology, Wageningen University & Research, 6708 WE Wageningen, The Netherlands;
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Yan XY, Yao JP, Li YQ, Xiao XJ, Yang WQ, Chen SJ, Tang TC, Yang YQ, Qu L, Hou YJ, Chen M, Li Y. Effects of acupuncture on gut microbiota and short-chain fatty acids in patients with functional constipation: a randomized placebo-controlled trial. Front Pharmacol 2023; 14:1223742. [PMID: 37719865 PMCID: PMC10502303 DOI: 10.3389/fphar.2023.1223742] [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: 05/17/2023] [Accepted: 07/17/2023] [Indexed: 09/19/2023] Open
Abstract
Objective: To comprehensively evaluate the effect of acupuncture on gut microbiota, identify specific microbes closely related to the clinical efficacy of acupuncture, and explored the role of short-chain fatty acids (SCFAs). Methods: A randomized placebo-controlled trial was conducted with 80 FC patients and 28 healthy controls (HCs). FC patients randomly received 16 acupuncture (n = 40) or sham acupuncture (n = 40) sessions over 4 weeks; HCs received no treatment. The change in the proportion of patients with mean weekly complete spontaneous bowel movements (CSBMs) was considered as the primary outcome measure. Moreover, the composition and the predictive metabolic function of the gut microbiota from feceal samples were analyzed by 16S rRNA gene sequencing, while feceal SCFAs were identified via gas chromatography-mass spectrometry (GC-MS). Results: Compared to sham acupuncture, acupuncture significantly increased the proportion of CSBM responders, and improved spontaneous bowel movements (SBMs), straining, stool consistency, and quality of life. Moreover, Sequencing of 16S rRNA genes revealed that acupuncture improved β-diversity and restored the composition of gut microbiota. Specifically, the abundance of beneficial bacteria such as g_Lactobacillus increased while that of pathogenic bacteria such as g_Pseudomonas decreased after acupuncture, which were significantly correlated with alleviated symptoms. Moreover, ten microbes including g_Coprobacter, g_Lactobacillus, and g_Eubacterium_coprostanoligenes_group might be considered acupuncture-specific microbes, and formed a stable interaction network. Additionally, GC-MS analysis indicated that acupuncture increased the content of butyrate acid in the gut, which was positively correlated with an increase in defecation frequency and a decrease in acupuncture-related pathogens. Finally, acupuncture specific-microbes including g_Coprobacter, g_Lactobacillus, g_Pseudomonas, g_Eubacterium_coprostanoligenes_group, g_Erysipelotrichaceae_UCG.003, g_Prevotellaceae_UCG.001, and g_Rolstonia could accurately predict the clinical efficacy of acupuncture (AUC = 0.918). Conclusion: Acupuncture could effectively improve clinical symptoms in FC patients, and was associated with gut microbiota reshaping and increased butyrate acid levels. Moreover, key microbial genera such as g_Coprobacter and g_Lactobacillus was predictive of acupuncture efficacy in treating FC. Future studies are required to validate the causal relationship between key microbial genera and acupuncture clinical efficacy, and should explore further metabolic pathways for designing personalized treatment strategies. Clinical Trial Registration: http://www.chictr.org.cn, Identifier: ChiCTR2100048831.
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Affiliation(s)
- Xiang-Yun Yan
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jun-Peng Yao
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yan-Qiu Li
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xian-Jun Xiao
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Wan-Qing Yang
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Si-Jue Chen
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Tai-Chun Tang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yu-Qing Yang
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Liu Qu
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yu-Jun Hou
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Min Chen
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ying Li
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Joo MK, Ma X, Yoo JW, Shin YJ, Kim HJ, Kim DH. Patient-derived Enterococcus mundtii and its capsular polysaccharides cause depression through the downregulation of NF-κB-involved serotonin and BDNF expression. Microbes Infect 2023; 25:105116. [PMID: 36758891 DOI: 10.1016/j.micinf.2023.105116] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 12/09/2022] [Accepted: 01/28/2023] [Indexed: 02/10/2023]
Abstract
The genus Enterococcus is commonly overpopulated in patients with depression compared to healthy control in the feces. Therefore, we isolated Enterococcus faecalis, Enterococcus durans, Enterococcus gallinarum, Enterococcus faecium, and Enterococcus mundtii from the feces of patients with comorbid inflammatory bowel disease with depression and examined their roles in depression in vivo and in vitro. Of these Enterococci, E. mundtii NK1516 most potently induced NF-κB-activated TNF-α and IL-6 expression in BV2 microglia cells. NK1516 also caused the most potent depression-like behaviors in the absence of sickness behaviors, neuroinflammation, downregulated brain-derived neurotrophic factor (BDNF), and serotonin (5-HT) levels in the hippocampus of mice. Furthermore, E. mundtii NK1516 reduced the mRNA expression of Htr1a in the hippocampus. Its capsular polysaccharide (CP), but not cytoplasmic components, also caused depression-like behaviors and reduced BDNF and serotonin levels in the hippocampus. Conversely, this was not observed with E. mundtii ATCC882, a well-known probiotic, or its CP. Orally gavaged fluorescence isothiocyanate (FITC)-conjugated NK1516 CP was detected in the hippocampus of mice. The NK1516 genome exhibited unique CP biosynthesis-related genes (capD, wbjC, WecB, vioB), unlike that of ATCC882. These findings suggest that E. mundtii may be a risk factor for depression.
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Affiliation(s)
- Min-Kyung Joo
- Neurobiota Research Center and Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, Kyung Hee University, Seoul 02447, South Korea.
| | - Xiaoyang Ma
- Neurobiota Research Center and Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, Kyung Hee University, Seoul 02447, South Korea.
| | - Jong-Wook Yoo
- Neurobiota Research Center and Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, Kyung Hee University, Seoul 02447, South Korea.
| | - Yoon-Jung Shin
- Neurobiota Research Center and Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, Kyung Hee University, Seoul 02447, South Korea.
| | - Hyo-Jong Kim
- Department of Internal Medicine, Kyung Hee University School of Medicine, Kyung Hee University, Seoul 02447, South Korea.
| | - Dong-Hyun Kim
- Neurobiota Research Center and Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, Kyung Hee University, Seoul 02447, South Korea.
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Varesi A, Campagnoli LIM, Chirumbolo S, Candiano B, Carrara A, Ricevuti G, Esposito C, Pascale A. The Brain-Gut-Microbiota Interplay in Depression: a key to design innovative therapeutic approaches. Pharmacol Res 2023; 192:106799. [PMID: 37211239 DOI: 10.1016/j.phrs.2023.106799] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/17/2023] [Accepted: 05/18/2023] [Indexed: 05/23/2023]
Abstract
Depression is the most prevalent mental disorder in the world associated with huge socio-economic consequences. While depressive-related symptoms are well known, the molecular mechanisms underlying disease pathophysiology and progression remain largely unknown. The gut microbiota (GM) is emerging as a key regulator of the central nervous system homeostasis by exerting fundamental immune and metabolic functions. In turn, the brain influences the intestinal microbial composition through neuroendocrine signals, within the so-called gut microbiota-brain axis. The balance of this bidirectional crosstalk is important to ensure neurogenesis, preserve the integrity of the blood-brain barrier and avoid neuroinflammation. Conversely, dysbiosis and gut permeability negatively affect brain development, behavior, and cognition. Furthermore, although not fully defined yet, changes in the GM composition in depressed patients are reported to influence the pharmacokinetics of common antidepressants by affecting their absorption, metabolism, and activity. Similarly, neuropsychiatric drugs may shape in turn the GM with an impact on the efficacy and toxicity of the pharmacological intervention itself. Consequently, strategies aimed at re-establishing the correct homeostatic gut balance (i.e., prebiotics, probiotics, fecal microbiota transplantation, and dietary interventions) represent an innovative approach to improve the pharmacotherapy of depression. Among these, probiotics and the Mediterranean diet, alone or in combination with the standard of care, hold promise for clinical application. Therefore, the disclosure of the intricate network between GM and depression will give precious insights for innovative diagnostic and therapeutic approaches towards depression, with profound implications for drug development and clinical practice.
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Affiliation(s)
- Angelica Varesi
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy.
| | | | - Salvatore Chirumbolo
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37121 Verona, Italy
| | - Beatrice Candiano
- Department of Drug Sciences, Section of Pharmacology, University of Pavia, Pavia, Italy
| | - Adelaide Carrara
- Child Neurology and Psychiatric Unit, IRCCS Mondino, Pavia, Italy
| | | | - Ciro Esposito
- Department of Internal Medicine and Therapeutics, University of Pavia, Italy; Nephrology and dialysis unit, ICS S. Maugeri SPA SB Hospital, Pavia, Italy; High School in Geriatrics, University of Pavia, Italy
| | - Alessia Pascale
- Department of Drug Sciences, Section of Pharmacology, University of Pavia, Pavia, Italy.
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Chen MM, Wang P, Xie XH, Nie Z, Xu SX, Zhang N, Wang W, Yao L, Liu Z. Young adults with major depression show altered microbiome. Neuroscience 2023; 522:23-32. [PMID: 37169166 DOI: 10.1016/j.neuroscience.2023.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 04/26/2023] [Accepted: 05/02/2023] [Indexed: 05/13/2023]
Abstract
There is growing basic and clinical evidence that major depressive disorder (MDD) is associated with gut microbiome alterations, but clinical studies have tended not to adjust for confounding factors. And few studies on the gut microbiome focused on young adults with MDD. Here we performed a pilot study to compare the gut microbiome of young adults with MDD with healthy controls. Shotgun metagenomic sequencing was performed on stool samples obtained from 40 young adults with MDD and 42 healthy controls. After controlling for confounding factors including sex, age, BMI, alcohol or cigarette consumption, bowel movement quality, exercise or defecation frequency, we compared microbiome diversity between groups, identified differentially abundant taxa, and further compared functional differences through gut-brain and gut-metabolic module analysis. There were no significant differences in overall gut microbiome structure and function in young adults with MDD compared with controls. Abundance of Sutterellaceae and species belonging to Clostridium, Eubacterium, and Ruminococcus were significantly different between groups. The cysteine degradation I pathway was increased in MDD. After controlling for most confounding factors, this pilot study provides new evidence on the specific, often subtle gut dysbiosis affecting young adults with depression.
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Affiliation(s)
- Mian-Mian Chen
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430000 China
| | - Peilin Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430000 China
| | - Xin-Hui Xie
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430000 China
| | - Zhaowen Nie
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430000 China
| | - Shu-Xian Xu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430000 China
| | - Nan Zhang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430000 China
| | - Wei Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430000 China
| | - Lihua Yao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430000 China
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430000 China.
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Yao Y, Qi X, Jia Y, Ye J, Chu X, Wen Y, Cheng B, Cheng S, Liu L, Liang C, Wu C, Wang X, Ning Y, Wang S, Zhang F. Evaluating the interactive effects of dietary habits and human gut microbiome on the risks of depression and anxiety. Psychol Med 2023; 53:3047-3055. [PMID: 35074039 DOI: 10.1017/s0033291721005092] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Gut microbiome and dietary patterns have been suggested to be associated with depression/anxiety. However, limited effort has been made to explore the effects of possible interactions between diet and microbiome on the risks of depression and anxiety. METHODS Using the latest genome-wide association studies findings in gut microbiome and dietary habits, polygenic risk scores (PRSs) analysis of gut microbiome and dietary habits was conducted in the UK Biobank cohort. Logistic/linear regression models were applied for evaluating the associations for gut microbiome-PRS, dietary habits-PRS, and their interactions with depression/anxiety status and Patient Health Questionnaire (PHQ-9)/Generalized Anxiety Disorder-7 (GAD-7) score by R software. RESULTS We observed 51 common diet-gut microbiome interactions shared by both PHQ score and depression status, such as overall beef intake × genus Sporobacter [hurdle binary (HB)] (PPHQ = 7.88 × 10-4, Pdepression status = 5.86 × 10-4); carbohydrate × genus Lactococcus (HB) (PPHQ = 0.0295, Pdepression status = 0.0150). We detected 41 common diet-gut microbiome interactions shared by GAD score and anxiety status, such as sugar × genus Parasutterella (rank normal transformed) (PGAD = 5.15 × 10-3, Panxiety status = 0.0347); tablespoons of raw vegetables per day × family Coriobacteriaceae (HB) (PGAD = 6.02 × 10-4, Panxiety status = 0.0345). Some common significant interactions shared by depression and anxiety were identified, such as overall beef intake × genus Sporobacter (HB). CONCLUSIONS Our study results expanded our understanding of how to comprehensively consider the relationships for dietary habits-gut microbiome interactions with depression and anxiety.
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Affiliation(s)
- Yao Yao
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xin Qi
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, P. R. China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Jing Ye
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xiaomeng Chu
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chujun Liang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Cuiyan Wu
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xi Wang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yujie Ning
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Sen Wang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
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Chin Fatt CR, Asbury S, Jha MK, Minhajuddin A, Sethuram S, Mayes T, Kennedy SH, Foster JA, Trivedi MH. Leveraging the microbiome to understand clinical heterogeneity in depression: findings from the T-RAD study. Transl Psychiatry 2023; 13:139. [PMID: 37117195 PMCID: PMC10147668 DOI: 10.1038/s41398-023-02416-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/25/2023] [Accepted: 03/24/2023] [Indexed: 04/30/2023] Open
Abstract
Alterations in the gut microbiome have been linked to a variety of mental illnesses including anxiety and depression. This study utilized advanced bioinformatics tools that integrated both the compositional and community nature of gut microbiota to investigate how gut microbiota influence clinical symptoms in a sample of participants with depression. Gut microbiota of 179 participants with major depressive disorder (MDD) in the Texas Resilience Against Depression (T-RAD) study were analyzed by 16S rRNA gene sequencing of stool samples. Severity of anxiety, depression, and anhedonia symptoms were assessed with General Anxiety Disorder - 7 item scale, Patient Health 9-item Questionnaire, and Dimensional Anhedonia Rating Scale, respectively. Using weighted correlation network analysis, a data-driven approach, three co-occurrence networks of bacterial taxa were identified. One of these co-occurrence networks was significantly associated with clinical features including depression and anxiety. The hub taxa associated with this co-occurrence module -one Ruminococcaceae family taxon, one Clostridiales vadinBB60 group family taxon, and one Christencenellaceae family taxon- were connected to several additional butyrate-producing bacteria suggesting that deficits in butyrate production may contribute to clinical symptoms. Therefore, by considering the community nature of the gut microbiome in a real world clinical sample, this study identified a gut microbial co-occurrence network that was significantly associated with clinical anxiety in a cohort of depressed individuals.
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Affiliation(s)
- Cherise R Chin Fatt
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute and the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sarah Asbury
- Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Manish K Jha
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute and the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Abu Minhajuddin
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute and the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sangita Sethuram
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute and the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Taryn Mayes
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute and the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sidney H Kennedy
- Department of Psychiatry, University of Toronto and Centre for Depression and Suicide Studies, Unity Health, Toronto, ON, Canada
| | - Jane A Foster
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute and the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
- Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
| | - Madhukar H Trivedi
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute and the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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Medina-Rodriguez EM, Watson J, Reyes J, Trivedi M, Beurel E. Th17 cells sense microbiome to promote depressive-like behaviors. MICROBIOME 2023; 11:92. [PMID: 37106375 PMCID: PMC10142784 DOI: 10.1186/s40168-022-01428-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/16/2022] [Indexed: 05/12/2023]
Abstract
BACKGROUND Microbiome alterations have been associated with depression, and fecal transfer of depressed patients' microbiomes is sufficient to enhance despair behaviors in rodents. Yet little is known about the potential mechanisms, whereby microbes modulate depressive-like behaviors. RESULTS In this study, we showed that certain bacteria known to induce Th17 cells are increased in depressed patients and mice exhibiting learned helplessness. Fecal transfers of human depressed patients' microbiomes into germ-free-like mice were sufficient to decrease sociability and increased susceptibility to the learned helplessness paradigm, confirming that the microbiome is sufficient to confer depressive-like behaviors. This microbial effect was dependent on the presence of Th17 cells in the recipient, as germ-free-like recipient mice deficient in Th17 cells were resistant to the behavioral changes induced by the microbiome of depressed patients. CONCLUSION Altogether, these findings suggest a crucial role of the microbiome/Th17 cell axis in regulating depressive-like behaviors. Video Abstract.
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Affiliation(s)
- Eva M Medina-Rodriguez
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA
| | - Jowan Watson
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA
| | - Juliana Reyes
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA
| | - Madhukar Trivedi
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Eléonore Beurel
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA.
- Department of Biochemistry and Molecular Biology, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA.
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Ait Chait Y, Mottawea W, Tompkins TA, Hammami R. Evidence of the Dysbiotic Effect of Psychotropics on Gut Microbiota and Capacity of Probiotics to Alleviate Related Dysbiosis in a Model of the Human Colon. Int J Mol Sci 2023; 24:ijms24087326. [PMID: 37108487 PMCID: PMC10138884 DOI: 10.3390/ijms24087326] [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: 03/21/2023] [Revised: 04/11/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
Growing evidence indicates that non-antibiotic therapeutics significantly impact human health by modulating gut microbiome composition and metabolism. In this study, we investigated the impact of two psychotropic drugs, aripiprazole and (S)-citalopram, on gut microbiome composition and its metabolic activity, as well as the potential of probiotics to attenuate related dysbiosis using an ex vivo model of the human colon. After 48 h of fermentation, the two psychotropics demonstrated distinct modulatory effects on the gut microbiome. Aripiprazole, at the phylum level, significantly decreased the relative abundances of Firmicutes and Actinobacteria, while increasing the proportion of Proteobacteria. Moreover, the families Lachnospiraceae, Lactobacillaceae, and Erysipelotrichaceae were also reduced by aripiprazole treatment compared to the control group. In addition, aripiprazole lowered the levels of butyrate, propionate, and acetate, as measured by gas chromatography (GC). On the other hand, (S)-citalopram increased the alpha diversity of microbial taxa, with no differences observed between groups at the family and genus level. Furthermore, a probiotic combination of Lacticaseibacillus rhamnosus HA-114 and Bifidobacterium longum R0175 alleviated gut microbiome alterations and increased the production of short-chain fatty acids to a similar level as the control. These findings provide compelling evidence that psychotropics modulate the composition and function of the gut microbiome, while the probiotic can mitigate related dysbiosis.
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Affiliation(s)
- Yasmina Ait Chait
- NuGut Research Platform, School of Nutrition Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Walid Mottawea
- NuGut Research Platform, School of Nutrition Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Department of Microbiology and Immunology, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt
| | | | - Riadh Hammami
- NuGut Research Platform, School of Nutrition Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, ON K1N 6N5, Canada
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Kumar A, Pramanik J, Goyal N, Chauhan D, Sivamaruthi BS, Prajapati BG, Chaiyasut C. Gut Microbiota in Anxiety and Depression: Unveiling the Relationships and Management Options. Pharmaceuticals (Basel) 2023; 16:ph16040565. [PMID: 37111321 PMCID: PMC10146621 DOI: 10.3390/ph16040565] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/03/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023] Open
Abstract
The gut microbiota is critical for maintaining human health and the immunological system. Several neuroscientific studies have shown the significance of microbiota in developing brain systems. The gut microbiota and the brain are interconnected in a bidirectional relationship, as research on the microbiome-gut-brain axis shows. Significant evidence links anxiety and depression disorders to the community of microbes that live in the gastrointestinal system. Modified diet, fish and omega-3 fatty acid intake, macro- and micro-nutrient intake, prebiotics, probiotics, synbiotics, postbiotics, fecal microbiota transplantation, and 5-HTP regulation may all be utilized to alter the gut microbiota as a treatment approach. There are few preclinical and clinical research studies on the effectiveness and reliability of various therapeutic approaches for depression and anxiety. This article highlights relevant research on the association of gut microbiota with depression and anxiety and the different therapeutic possibilities of gut microbiota modification.
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Affiliation(s)
- Akash Kumar
- Department of Food Technology, SRM University, Sonipat 131029, India
| | - Jhilam Pramanik
- Department of Food Technology, ITM University, Gwalior 474001, India
| | - Nandani Goyal
- Department of Skill Agriculture, Shri Vishwakarma Skill University, Gurugram 122003, India
| | - Dimple Chauhan
- School of Bio-Engineering and Food Technology, Shoolini University, Solan 173229, India
| | - Bhagavathi Sundaram Sivamaruthi
- Office of Research Administration, Chiang Mai University, Chiang Mai 50200, Thailand
- Innovation Center for Holistic Health, Nutraceuticals, and Cosmeceuticals, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Bhupendra G Prajapati
- Shree S. K. Patel College of Pharmaceutical Education and Research, Ganpat University, Mehsana 384012, India
| | - Chaiyavat Chaiyasut
- Innovation Center for Holistic Health, Nutraceuticals, and Cosmeceuticals, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand
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46
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Liu H, Zhang X, Shi P, Yuan J, Jia Q, Pi C, Chen T, Xiong L, Chen J, Tang J, Yue R, Liu Z, Shen H, Zuo Y, Wei Y, Zhao L. α7 Nicotinic acetylcholine receptor: a key receptor in the cholinergic anti-inflammatory pathway exerting an antidepressant effect. J Neuroinflammation 2023; 20:84. [PMID: 36973813 PMCID: PMC10041767 DOI: 10.1186/s12974-023-02768-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 03/17/2023] [Indexed: 03/28/2023] Open
Abstract
Depression is a common mental illness, which is related to monoamine neurotransmitters and the dysfunction of the cholinergic, immune, glutamatergic, and neuroendocrine systems. The hypothesis of monoamine neurotransmitters is one of the commonly recognized pathogenic mechanisms of depression; however, the drugs designed based on this hypothesis have not achieved good clinical results. A recent study demonstrated that depression and inflammation were strongly correlated, and the activation of alpha7 nicotinic acetylcholine receptor (α7 nAChR)-mediated cholinergic anti-inflammatory pathway (CAP) in the cholinergic system exhibited good therapeutic effects against depression. Therefore, anti-inflammation might be a potential direction for the treatment of depression. Moreover, it is also necessary to further reveal the key role of inflammation and α7 nAChR in the pathogenesis of depression. This review focused on the correlations between inflammation and depression as well-discussed the crucial role of α7 nAChR in the CAP.
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Affiliation(s)
- Huiyang Liu
- grid.410578.f0000 0001 1114 4286Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, 646000 People’s Republic of China
- grid.488387.8Key Laboratory of Medical Electrophysiology, Ministry of Education, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, No. 182, Chunhui Road, Longmatan District, Luzhou, 646000 Sichuan People’s Republic of China
- grid.410578.f0000 0001 1114 4286Central Nervous System Drug Key Laboratory of Sichuan Province, School of Pharmacy of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
- grid.488387.8Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Xiaomei Zhang
- grid.469520.c0000 0004 1757 8917Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, Institute of Medicinal Chemistry of Chinese Medicine, Chongqing Academy of Chinese Materia Medica, Chongqing, 400065 People’s Republic of China
| | - Peng Shi
- grid.410578.f0000 0001 1114 4286Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, 646000 People’s Republic of China
- grid.488387.8Key Laboratory of Medical Electrophysiology, Ministry of Education, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, No. 182, Chunhui Road, Longmatan District, Luzhou, 646000 Sichuan People’s Republic of China
- grid.410578.f0000 0001 1114 4286Central Nervous System Drug Key Laboratory of Sichuan Province, School of Pharmacy of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
- grid.488387.8Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Jiyuan Yuan
- grid.488387.8Clinical Trial Center, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Qiang Jia
- grid.488387.8Ethics Committee Office, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000 Sichuan China
| | - Chao Pi
- grid.410578.f0000 0001 1114 4286Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, 646000 People’s Republic of China
| | - Tao Chen
- grid.410578.f0000 0001 1114 4286Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, 646000 People’s Republic of China
- grid.488387.8Key Laboratory of Medical Electrophysiology, Ministry of Education, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, No. 182, Chunhui Road, Longmatan District, Luzhou, 646000 Sichuan People’s Republic of China
- grid.410578.f0000 0001 1114 4286Central Nervous System Drug Key Laboratory of Sichuan Province, School of Pharmacy of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
- grid.488387.8Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Linjin Xiong
- grid.410578.f0000 0001 1114 4286Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, 646000 People’s Republic of China
- grid.488387.8Key Laboratory of Medical Electrophysiology, Ministry of Education, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, No. 182, Chunhui Road, Longmatan District, Luzhou, 646000 Sichuan People’s Republic of China
- grid.410578.f0000 0001 1114 4286Central Nervous System Drug Key Laboratory of Sichuan Province, School of Pharmacy of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
- grid.488387.8Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Jinglin Chen
- grid.410578.f0000 0001 1114 4286Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, 646000 People’s Republic of China
- grid.488387.8Key Laboratory of Medical Electrophysiology, Ministry of Education, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, No. 182, Chunhui Road, Longmatan District, Luzhou, 646000 Sichuan People’s Republic of China
- grid.410578.f0000 0001 1114 4286Central Nervous System Drug Key Laboratory of Sichuan Province, School of Pharmacy of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
- grid.488387.8Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Jia Tang
- grid.410578.f0000 0001 1114 4286Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, 646000 People’s Republic of China
- grid.488387.8Key Laboratory of Medical Electrophysiology, Ministry of Education, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, No. 182, Chunhui Road, Longmatan District, Luzhou, 646000 Sichuan People’s Republic of China
- grid.410578.f0000 0001 1114 4286Central Nervous System Drug Key Laboratory of Sichuan Province, School of Pharmacy of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
- grid.488387.8Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Ruxu Yue
- grid.410578.f0000 0001 1114 4286Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, 646000 People’s Republic of China
- grid.488387.8Key Laboratory of Medical Electrophysiology, Ministry of Education, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, No. 182, Chunhui Road, Longmatan District, Luzhou, 646000 Sichuan People’s Republic of China
- grid.410578.f0000 0001 1114 4286Central Nervous System Drug Key Laboratory of Sichuan Province, School of Pharmacy of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
- grid.488387.8Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Zerong Liu
- Central Nervous System Drug Key Laboratory of Sichuan Province, Sichuan Credit Pharmaceutical CO., Ltd., Luzhou, 646000 Sichuan China
- grid.190737.b0000 0001 0154 0904Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400030 China
| | - Hongping Shen
- grid.488387.8Clinical Trial Center, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Ying Zuo
- grid.488387.8Department of Comprehensive Medicine, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, No. 182, Chunhui Road, Longmatan District, Luzhou, 646000 Sichuan China
| | - Yumeng Wei
- grid.410578.f0000 0001 1114 4286Central Nervous System Drug Key Laboratory of Sichuan Province, School of Pharmacy of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Ling Zhao
- grid.488387.8Key Laboratory of Medical Electrophysiology, Ministry of Education, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, No. 182, Chunhui Road, Longmatan District, Luzhou, 646000 Sichuan People’s Republic of China
- grid.410578.f0000 0001 1114 4286Central Nervous System Drug Key Laboratory of Sichuan Province, School of Pharmacy of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
- grid.488387.8Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
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47
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Pesantes N, Barberá A, Pérez-Rocher B, Artacho A, Vargas SL, Moya A, Ruiz-Ruiz S. Influence of mental health medication on microbiota in the elderly population in the Valencian region. Front Microbiol 2023; 14:1094071. [PMID: 37007475 PMCID: PMC10062206 DOI: 10.3389/fmicb.2023.1094071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/13/2023] [Indexed: 03/18/2023] Open
Abstract
Spain has an aging population; 19.93% of the Spanish population is over 65. Aging is accompanied by several health issues, including mental health disorders and changes in the gut microbiota. The gut-brain axis is a bidirectional network linking the central nervous system with gastrointestinal tract functions, and therefore, the gut microbiota can influence an individual’s mental health. Furthermore, aging-related physiological changes affect the gut microbiota, with differences in taxa and their associated metabolic functions between younger and older people. Here, we took a case–control approach to study the interplay between gut microbiota and mental health of elderly people. Fecal and saliva samples from 101 healthy volunteers over 65 were collected, of which 28 (EE|MH group) reported using antidepressants or medication for anxiety or insomnia at the time of sampling. The rest of the volunteers (EE|NOMH group) were the control group. 16S rRNA gene sequencing and metagenomic sequencing were applied to determine the differences between intestinal and oral microbiota. Significant differences in genera were found, specifically eight in the gut microbiota, and five in the oral microbiota. Functional analysis of fecal samples showed differences in five orthologous genes related to tryptophan metabolism, the precursor of serotonin and melatonin, and in six categories related to serine metabolism, a precursor of tryptophan. Moreover, we found 29 metabolic pathways with significant inter-group differences, including pathways regulating longevity, the dopaminergic synapse, the serotoninergic synapse, and two amino acids.
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Affiliation(s)
- Nicole Pesantes
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), València, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBEResp), Madrid, Spain
| | - Ana Barberá
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), València, Spain
| | - Benjamí Pérez-Rocher
- Instituto de Biología Integrativa de Sistemas (I2Sysbio), CSIC-Universitat de València, València, Spain
| | - Alejandro Artacho
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), València, Spain
| | - Sergio Luís Vargas
- Programa de Microbiología y Micología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Andrés Moya
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), València, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBEResp), Madrid, Spain
- Instituto de Biología Integrativa de Sistemas (I2Sysbio), CSIC-Universitat de València, València, Spain
| | - Susana Ruiz-Ruiz
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), València, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBEResp), Madrid, Spain
- *Correspondence: Susana Ruiz-Ruiz,
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48
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Xu J, Tang M, Wang D, Zhang X, Yang X, Ma Y, Xu X. Lactocaseibacillus rhamnosus zz-1 Supplementation Mitigates Depression-Like Symptoms in Chronic Stress-Induced Depressed Mice via the Microbiota-Gut-Brain Axis. ACS Chem Neurosci 2023; 14:1095-1106. [PMID: 36812493 DOI: 10.1021/acschemneuro.2c00580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
Accumulating evidence has revealed an association between depression and disordered intestinal microecology. The discovery of psychobiotics has provided a promising perspective for studying the treatment of psychiatric disorders. Here, we aimed to investigate the antidepressant abilities of Lactocaseibacillus rhamnosus zz-1 (LRzz-1) and elucidate the underlying mechanisms. The viable bacteria (2 × 109 CFU/day) were orally supplemented to depressed C57BL/6 mice induced by chronic unpredictable mild stress (CUMS), and the behavioral, neurophysiological, and intestinal microbial effects were assessed, with fluoxetine used as a positive control. The treatment with LRzz-1 effectively mitigated the depression-like behavioral disorders of depressed mice and reduced the expression of inflammatory cytokine mRNA (IL-1β, IL-6, and TNF-α) in the hippocampus. In addition, LRzz-1 treatment also improved tryptophan metabolic disorder in the mouse hippocampus, as well as its peripheral circulation. These benefits are associated with the mediation of microbiome-gut-brain bidirectional communication. CUMS-induced depression impaired the intestinal barrier integrity and microbial homeostasis in mice, neither of which was restored by fluoxetine. LRzz-1 prevented intestinal leakage and significantly ameliorated epithelial barrier permeability by up-regulating tight-junction proteins (including ZO-1, occludin, and claudin-1). In particular, LRzz-1 improved the microecological balance by normalizing the threatened bacteria (e.g., Bacteroides and Desulfovibrio), exerting beneficial regulation (e.g., Ruminiclostridium 6 and Alispites), and modifying short-chain fatty acid metabolism. In summary, LRzz-1 showed considerable antidepressant-like effects and exhibited more comprehensive intestinal microecological regulation than other drugs, which offers novel insights that can facilitate the development of depression therapeutic strategies.
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Affiliation(s)
- Jinzhao Xu
- Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, P. R. China.,College of Food Science, Northeast Agricultural University, Harbin 150030, P. R. China
| | - Mengqi Tang
- Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, P. R. China.,College of Food Science, Northeast Agricultural University, Harbin 150030, P. R. China
| | - Danping Wang
- Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, P. R. China.,College of Food Science, Northeast Agricultural University, Harbin 150030, P. R. China
| | - Xuyan Zhang
- Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, P. R. China.,College of Food Science, Northeast Agricultural University, Harbin 150030, P. R. China
| | - Xiaoying Yang
- Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, P. R. China.,College of Food Science, Northeast Agricultural University, Harbin 150030, P. R. China
| | - Yanshi Ma
- Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, P. R. China.,College of Food Science, Northeast Agricultural University, Harbin 150030, P. R. China
| | - Xiaoxi Xu
- Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, P. R. China.,College of Food Science, Northeast Agricultural University, Harbin 150030, P. R. China
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49
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Diviccaro S, Falvo E, Piazza R, Cioffi L, Herian M, Brivio P, Calabrese F, Giatti S, Caruso D, Melcangi RC. Gut microbiota composition is altered in a preclinical model of type 1 diabetes mellitus: Influence on gut steroids, permeability, and cognitive abilities. Neuropharmacology 2023; 226:109405. [PMID: 36572179 DOI: 10.1016/j.neuropharm.2022.109405] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 12/21/2022] [Accepted: 12/23/2022] [Indexed: 12/25/2022]
Abstract
Sex steroid hormones are not only synthesized from the gonads but also by other tissues, such as the brain (i.e., neurosteroids) and colon (i.e., gut steroids). Gut microbiota can be shaped from sex steroid hormones synthesized from the gonads and locally interacts with gut steroids as in turn modulates neurosteroids. Type 1 diabetes mellitus (T1DM) is characterized by dysbiosis and also by diabetic encephalopathy. However, the interactions of players of gut-brain axis, such as gut steroids, gut permeability markers and microbiota, have been poorly explored in this pathology and, particularly in females. On this basis, we have explored, in streptozotocin (STZ)-induced adult female rats, whether one month of T1DM may alter (I) gut microbiome composition and diversity by 16S next-generation sequencing, (II) gut steroid levels by liquid chromatography-tandem mass spectrometry, (III) gut permeability markers by gene expression analysis, (IV) cognitive behavior by the novel object recognition (NOR) test and whether correlations among these aspects may occur. Results obtained reveal that T1DM alters gut β-, but not α-diversity. The pathology is also associated with a decrease and an increase in colonic pregnenolone and allopregnanolone levels, respectively. Additionally, diabetes alters gut permeability and worsens cognitive behavior. Finally, we reported a significant correlation of pregnenolone with Blautia, claudin-1 and the NOR index and of allopregnanolone with Parasutterella, Gammaproteobacteria and claudin-1. Altogether, these results suggest new putative roles of these two gut steroids related to cognitive deficit and dysbiosis in T1DM female experimental model. This article is part of the Special Issue on "Microbiome & the Brain: Mechanisms & Maladies".
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Affiliation(s)
- Silvia Diviccaro
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy
| | - Eva Falvo
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy
| | - Rocco Piazza
- Dipartimento di Medicina e Chirurgia, Università di Milano - Bicocca, Milan, Italy
| | - Lucia Cioffi
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy
| | - Monika Herian
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy
| | - Paola Brivio
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy
| | - Francesca Calabrese
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy
| | - Silvia Giatti
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy
| | - Donatella Caruso
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy
| | - Roberto Cosimo Melcangi
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy.
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50
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Korczak M, Pilecki M, Granica S, Gorczynska A, Pawłowska KA, Piwowarski JP. Phytotherapy of mood disorders in the light of microbiota-gut-brain axis. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2023; 111:154642. [PMID: 36641978 DOI: 10.1016/j.phymed.2023.154642] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 11/22/2022] [Accepted: 01/01/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Clinical research in natural product-based psychopharmacology has revealed a variety of promising herbal medicines that may provide benefit in the treatment of mild mood disorders, however failed to unambiguously indicate pharmacologically active constituents. The emerging role of the microbiota-gut-brain axis opens new possibilities in the search for effective methods of treatment and prevention of mood disorders. PURPOSE Considering the clinically proven effectiveness juxtaposed with inconsistencies regarding the indication of active principles for many medicinal plants applied in the treatment of anxiety and depression, the aim of the review is to look at their therapeutic properties from the perspective of the microbiota-gut-brain axis. METHOD A literature-based survey was performed using Scopus, Pubmed, and Google Scholar databases. The current state of knowledge regarding Hypericum perforatum, Valeriana officinalis, Piper methysticum, Passiflora incarnata, Humulus lupulus, Melissa officinalis, Lavandula officinalis, and Rhodiola rosea in terms of their antimicrobial activity, bioavailability, clinical effectiveness in depression/anxiety and gut microbiota - natural products interaction was summarized and analyzed. RESULTS Recent studies have provided direct and indirect evidence that herbal extracts and isolated compounds are potent modulators of gut microbiota structure. Additionally, some of the formed postbiotic metabolites exert positive effects and ameliorate depression-related behaviors in animal models of mood disorders. The review underlines the gap in research on natural products - gut microbiota interaction in the context of mood disorders. CONCLUSION Modification of microbiota-gut-brain axis by natural products is a plausible explanation of their therapeutic properties. Future studies evaluating the effectiveness of herbal medicine and isolated compounds in treating mild mood disorders should consider the bidirectional interplay between phytoconstituents and the gut microbiota community.
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Affiliation(s)
- Maciej Korczak
- Microbiota Lab, Department of Pharmacognosy and Molecular Basis of Phytotherapy, Medical University of Warsaw, Warsaw, Poland
| | - Maciej Pilecki
- Department of Psychiatry, Collegium Medicum, Jagiellonian University, Cracow, Poland
| | - Sebastian Granica
- Microbiota Lab, Department of Pharmacognosy and Molecular Basis of Phytotherapy, Medical University of Warsaw, Warsaw, Poland
| | - Aleksandra Gorczynska
- Microbiota Lab, Department of Pharmacognosy and Molecular Basis of Phytotherapy, Medical University of Warsaw, Warsaw, Poland
| | - Karolina A Pawłowska
- Microbiota Lab, Department of Pharmacognosy and Molecular Basis of Phytotherapy, Medical University of Warsaw, Warsaw, Poland
| | - Jakub P Piwowarski
- Microbiota Lab, Department of Pharmacognosy and Molecular Basis of Phytotherapy, Medical University of Warsaw, Warsaw, Poland.
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