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Yao Q, Chen L, Cai Y, Li C, Wen S, Yang C, Zhang Q, Zeng Y, Zheng S, Zou J, Huang G, Zeng Q. Exploring Causal Links Between Gut Microbiota and Geriatric Syndromes: A Two-Sample Mendelian Randomization Analysis. Int J Med Sci 2024; 21:1945-1963. [PMID: 39113894 PMCID: PMC11302557 DOI: 10.7150/ijms.94335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 05/21/2024] [Indexed: 08/10/2024] Open
Abstract
Background: Both observational studies and clinical trials have demonstrated a link between the gut microbiota and the geriatric syndrome. Nevertheless, the exact nature of this relationship, particularly concerning causality, remains elusive. Mendelian randomization (MR) is a method of inference based on genetic variation to assess the causal relationship between an exposure and an outcome. In this study, we conducted a two-sample Mendelian randomization (TSMR) study to fully reveal the potential genetic causal effects of gut microbiota on geriatric syndromes. Methods: This study used data from genome wide association studies (GWAS) to investigate causal relationships between the gut microbiota and geriatric syndromes, including frailty, Parkinson's disease (PD), delirium, insomnia, and depression. The primary causal relationships were evaluated using the inverse-variance weighted method, MR Egger, simple mode, weighted mode and weighted median. To assess the robustness of the results, horizontal pleiotropy was examined through MR-Egger intercept and MR-presso methods. Heterogeneity was assessed using Cochran's Q test, and sensitivity was evaluated via the leave-one-out method. Results: We identified 41 probable causal relationships between gut microbiota and five geriatric syndrome-associated illnesses using the inverse-variance weighted method. Frailty showed five positive and two negative causal relationships, while PD revealed three positive and four negative causal connections. Delirium showed three positive and two negative causal relationships. Similarly, insomnia demonstrated nine positive and two negative causal connections, while depression presented nine positive and two negative causal relationships. Conclusions: Using the TSMR method and data from the public GWAS database and, we observed associations between specific microbiota groups and geriatric syndromes. These findings suggest a potential role of gut microbiota in the development of geriatric syndromes, providing valuable insights for further research into the causal relationship between gut microbiota and these syndromes.
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Affiliation(s)
- Qiuru Yao
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Ling Chen
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yuxin Cai
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Sciences, Southern Medical University, Guangzhou, China
| | - Changxi Li
- Department of Cardiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Shuyang Wen
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Chun Yang
- Dongguan Key Laboratory of Stem Cell and Regenerative Tissue Engineering, Guangdong Medical University, Dongguan, Guangdong, China
| | - Qi Zhang
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Sciences, Southern Medical University, Guangzhou, China
| | - Yuting Zeng
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Shuqi Zheng
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Sciences, Southern Medical University, Guangzhou, China
| | - Jihua Zou
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Sciences, Southern Medical University, Guangzhou, China
- Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China
| | - Guozhi Huang
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Nursing, Southern Medical University, Guangzhou, China
- School of Rehabilitation Sciences, Southern Medical University, Guangzhou, China
| | - Qing Zeng
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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Deng Z, Liu L, Liu W, Liu R, Ma T, Xin Y, Xie Y, Zhang Y, Zhou Y, Tang Y. Alterations in the fecal microbiota of methamphetamine users with bad sleep quality during abstinence. BMC Psychiatry 2024; 24:324. [PMID: 38664669 PMCID: PMC11046801 DOI: 10.1186/s12888-024-05773-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Methamphetamine (MA) abuse has resulted in a plethora of social issues. Sleep disturbance is a prominent issue about MA addiction, which serve as a risk factor for relapse, and the gut microbiota could play an important role in the pathophysiological mechanisms of sleep disturbances. Therefore, improving sleep quality can be beneficial for treating methamphetamine addiction, and interventions addressing the gut microbiota may represent a promising approach. METHOD We recruited 70 MA users to investigate the associations between sleep quality and fecal microbiota by the Pittsburgh Sleep Quality Index (PSQI), which was divided into MA-GS (PSQI score < 7, MA users with good sleep quality, n = 49) and MA-BS group (PSQI score ≥ 7, MA users with bad sleep quality, n = 21). In addition, we compared the gut microbiota between the MA-GS and healthy control (HC, n = 38) groups. 16S rRNA sequencing was applied to identify the gut bacteria. RESULT The study revealed that the relative abundances of the Thermoanaerobacterales at the order level differed between the MA-GS and MA-BS groups. Additionally, a positive correlation was found between the relative abundance of the genus Sutterella and daytime dysfunction. Furthermore, comparisons between MA users and HCs revealed differences in beta diversity and relative abundances of various bacterial taxa. CONCLUSION In conclusion, the study investigated alterations in the gut microbiota among MA users. Furthermore, we demonstrated that the genus Sutterella changes may be associated with daytime dysfunction, suggesting that the genus Sutterella may be a biomarker for bad sleep quality in MA users.
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Affiliation(s)
- Zijing Deng
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
| | - Linzi Liu
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
| | - Wen Liu
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
| | - Ruina Liu
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shanxi, PR China
| | - Tao Ma
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
| | - Yide Xin
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
| | - Yu Xie
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
| | - Yifan Zhang
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
| | - Yifang Zhou
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China
| | - Yanqing Tang
- Department of Psychiatry, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, PR China.
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Even C, Magzal F, Shochat T, Haimov I, Agmon M, Tamir S. Microbiota Metabolite Profiles and Dietary Intake in Older Individuals with Insomnia of Short vs. Normal Sleep Duration. Biomolecules 2024; 14:419. [PMID: 38672436 PMCID: PMC11047947 DOI: 10.3390/biom14040419] [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: 02/19/2024] [Revised: 03/23/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
Recent evidence suggests that the gut microbiota plays a role in insomnia pathogenesis. This study compared the dietary habits and microbiota metabolites of older adults with insomnia of short vs. normal sleep duration (ISSD and INSD, respectively). Data collection included sleep assessment through actigraphy, dietary analysis using the Food Frequency Questionnaire, and metabolomic profiling of stool samples. The results show that ISSD individuals had higher body mass index and a greater prevalence of hypertension. Significant dietary differences were observed, with the normal sleep group consuming more kilocalories per day and specific aromatic amino acids (AAAs) phenylalanine and tyrosine and branch-chain amino acid (BCAA) valine per protein content than the short sleep group. Moreover, metabolomic analysis identified elevated levels of the eight microbiota metabolites, benzophenone, pyrogallol, 5-aminopental, butyl acrylate, kojic acid, deoxycholic acid (DCA), trans-anethole, and 5-carboxyvanillic acid, in the short compared to the normal sleep group. The study contributes to the understanding of the potential role of dietary and microbial factors in insomnia, particularly in the context of sleep duration, and opens avenues for targeted dietary interventions and gut microbiota modulation as potential therapeutic approaches for treating insomnia.
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Affiliation(s)
- Carmel Even
- Nutritional Science Department, Tel Hai College, Upper Galilee, Kiryat Shmona 1220800, Israel (S.T.)
| | - Faiga Magzal
- Nutritional Science Department, Tel Hai College, Upper Galilee, Kiryat Shmona 1220800, Israel (S.T.)
- Laboratory of Human Health and Nutrition Sciences, MIGAL-Galilee Research Institute, Kiryat Shmona 11016, Israel
| | - Tamar Shochat
- The Cheryl Spencer Department of Nursing, University of Haifa, Haifa 3103301, Israel; (T.S.)
| | - Iris Haimov
- Department of Psychology and the Center for Psychobiological Research, The Max Stern Yezreel Valley College, Affula 19300, Israel;
| | - Maayan Agmon
- The Cheryl Spencer Department of Nursing, University of Haifa, Haifa 3103301, Israel; (T.S.)
| | - Snait Tamir
- Nutritional Science Department, Tel Hai College, Upper Galilee, Kiryat Shmona 1220800, Israel (S.T.)
- Laboratory of Human Health and Nutrition Sciences, MIGAL-Galilee Research Institute, Kiryat Shmona 11016, Israel
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Li Z, Tao X, Wang D, Pu J, Liu Y, Gui S, Zhong X, Yang D, Zhou H, Tao W, Chen W, Chen X, Chen Y, Chen X, Xie P. Alterations of the gut microbiota in patients with schizophrenia. Front Psychiatry 2024; 15:1366311. [PMID: 38596637 PMCID: PMC11002218 DOI: 10.3389/fpsyt.2024.1366311] [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: 01/06/2024] [Accepted: 03/13/2024] [Indexed: 04/11/2024] Open
Abstract
Introduction Schizophrenia is a complex psychiatric disorder, of which molecular pathogenesis remains largely unknown. Accumulating evidence suggest that gut microbiota may affect brain function via the complex gut-brain axis, which may be a potential contributor to schizophrenia. However, the alteration of gut microbiota showed high heterogeneity across different studies. Therefore, this study aims to identify the consistently altered gut microbial taxa associated with schizophrenia. Methods We conducted a systematic search and synthesis of the up-to-date human gut microbiome studies on schizophrenia, and performed vote counting analyses to identify consistently changed microbiota. Further, we investigated the effects of potential confounders on the alteration of gut microbiota. Results We obtained 30 available clinical studies, and found that there was no strong evidence to support significant differences in α-diversity and β-diversity between schizophrenic patients and healthy controls. Among 428 differential gut microbial taxa collected from original studies, we found that 8 gut microbial taxa were consistently up-regulated in schizophrenic patients, including Proteobacteria, Gammaproteobacteria, Lactobacillaceae, Enterobacteriaceae, Lactobacillus, Succinivibrio, Prevotella and Acidaminococcus. While 5 taxa were consistently down-regulated in schizophrenia, including Fusicatenibacter, Faecalibacterium, Roseburia, Coprococcus and Anaerostipes. Discussion These findings suggested that gut microbial changes in patients with schizophrenia were characterized by the depletion of anti-inflammatory butyrate-producing genera, and the enrichment of certain opportunistic bacteria genera and probiotics. This study contributes to further understanding the role of gut microbiota in schizophrenia, and developing microbiota-based diagnosis and therapy for schizophrenia.
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Affiliation(s)
- Zhuocan Li
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiangkun Tao
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dongfang Wang
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Jinfeng Laboratory, Chongqing, China
- Chongqing Institute for Brain and Intelligence, Chongqing, China
| | - Juncai Pu
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Jinfeng Laboratory, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yiyun Liu
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Jinfeng Laboratory, Chongqing, China
- Chongqing Institute for Brain and Intelligence, Chongqing, China
| | - Siwen Gui
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Jinfeng Laboratory, Chongqing, China
- Chongqing Institute for Brain and Intelligence, Chongqing, China
| | - Xiaogang Zhong
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Jinfeng Laboratory, Chongqing, China
- College of Basic Medicine, Chongqing Medical University, Chongqing, China
| | - Dan Yang
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Haipeng Zhou
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wei Tao
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Weiyi Chen
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaopeng Chen
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yue Chen
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiang Chen
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Peng Xie
- National Health Commission (NHC) Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Jinfeng Laboratory, Chongqing, China
- Chongqing Institute for Brain and Intelligence, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Xu M, Shao Q, Zhou Y, Yu Y, Wang S, Wang A, Cai Y. Potential effects of specific gut microbiota on periodontal disease: a two-sample bidirectional Mendelian randomization study. Front Microbiol 2024; 15:1322947. [PMID: 38314435 PMCID: PMC10834673 DOI: 10.3389/fmicb.2024.1322947] [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: 10/18/2023] [Accepted: 01/08/2024] [Indexed: 02/06/2024] Open
Abstract
Introduction Periodontal disease (PD) presents a substantial global health challenge, encompassing conditions from reversible gingivitis to irreversible periodontitis, often culminating in tooth loss. The gut-oral axis has recently emerged as a focal point, with potential gut microbiota dysbiosis exacerbating PD. Methods In this study, we employed a double-sample bidirectional Mendelian randomized (MR) approach to investigate the causal relationship between specific gut microbiota and periodontal disease (PD) and bleeding gum (BG) development, while exploring the interplay between periodontal health and the gut microenvironment. We performed genome-wide association studies (GWAS) with two cohorts, totalling 346,731 (PD and control) and 461,113 (BG and control) participants, along with data from 14,306 participants' intestinal flora GWAS, encompassing 148 traits (31 families and 117 genera). Three MR methods were used to assess causality, with the in-verse-variance-weighted (IVW) measure as the primary outcome. Cochrane's Q test, MR-Egger, and MR-PRESSO global tests were used to detect heterogeneity and pleiotropy. The leave-one-out method was used to test the stability of the MR results. An F-statistic greater than 10 was accepted for instrument exposure association. Results and conclusion Specifically, Eubacterium xylanophilum and Lachnoclostridium were associated with reduced gum bleeding risk, whereas Anaerotruncus, Eisenbergiella, and Phascolarctobacterium were linked to reduced PD risk. Conversely, Fusicatenibacter was associated with an elevated risk of PD. No significant heterogeneity or pleiotropy was detected. In conclusion, our MR analysis pinpointed specific gut flora with causal connections to PD, offering potential avenues for oral health interventions.
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Affiliation(s)
- Meng Xu
- Department of Stomatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Shao
- IT Department, Huashan Hospital, Fudan University, Shanghai, China
| | - Yinglu Zhou
- Nursing Department, Huashan Hospital, Fudan University, Shanghai, China
| | - Yili Yu
- Department of Stomatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Shuwei Wang
- Dental Diseases Prevention and Treatment Center of Jiading District, Shanghai, China
| | - An Wang
- Shanghai Jingan Dental Clinic, Shanghai, China
| | - Yida Cai
- Department of Stomatology, Huashan Hospital, Fudan University, Shanghai, China
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Shirolapov IV, Gribkova OV, Kovalev AM, Shafigullina LR, Ulivanova VA, Kozlov AV, Ereshchenko AA, Lyamin AV, Zakharov AV. [The interactions along the microbiota-gut-brain axis in the regulation of circadian rhythms, sleep mechanisms and disorders]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:79-86. [PMID: 38934670 DOI: 10.17116/jnevro202412405279] [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] [Indexed: 06/28/2024]
Abstract
The bidirectional relationship between cerebral structures and the gastrointestinal tract involving the microbiota embraces the scientific concept of the microbiota-gut-brain axis. The gut microbiome plays an important role in many physiological and biochemical processes of the human body, in the immune response and maintenance of homeostasis, as well as in the regulation of circadian rhythms. There is a relationship between the higher prevalence of a number of neurological disorders, sleep disorders and changes in the intestinal microbiota, which actualizes the study of the complex mechanisms of such correlation for the development of new treatment and prevention strategies. Environmental factors associated with excessive light exposure can aggravate the gut dysbiosis of intestinal microflora, and as a result, lead to sleep disturbances. This review examines the integrative mechanisms of sleep regulation associated with the gut microbiota (the role of neurotransmitters, short-chain fatty acids, unconjugated bile acids, bacterial cell wall components, cytokines). Taking into account the influence of gut dysbiosis as a risk factor in the development of various diseases, the authors systematize key aspects and modern scientific data on the importance of microflora balance to ensure optimal interaction along the microbiota-gut-brain axis in the context of the regulatory role of the sleep-wake cycle and its disorders.
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Affiliation(s)
| | | | - A M Kovalev
- Samara State Medical University, Samara, Russia
| | | | | | - A V Kozlov
- Samara State Medical University, Samara, Russia
| | | | - A V Lyamin
- Samara State Medical University, Samara, Russia
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Tanaka A, Sanada K, Miyaho K, Tachibana T, Kurokawa S, Ishii C, Noda Y, Nakajima S, Fukuda S, Mimura M, Kishimoto T, Iwanami A. The relationship between sleep, gut microbiota, and metabolome in patients with depression and anxiety: A secondary analysis of the observational study. PLoS One 2023; 18:e0296047. [PMID: 38117827 PMCID: PMC10732403 DOI: 10.1371/journal.pone.0296047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 12/05/2023] [Indexed: 12/22/2023] Open
Abstract
BACKGROUND Growing attention is paid to the association between alterations in the gut microbiota and their metabolites in patients with psychiatric disorders. Our study aimed to determine how gut microbiota and metabolomes are related to the sleep quality among patients with depression and anxiety disorders by analyzing the datasets of our previous study. METHODS Samples were collected from 40 patients (depression: 32 patients [80.0%]); anxiety disorders: 8 patients [20.0%]) in this study. Gut microbiomes were analyzed using 16S rRNA gene sequencing and gut metabolomes were analyzed by a mass spectrometry approach. Based on the Pittsburgh Sleep Quality Index (PSQI), patients were categorized into two groups: the insomnia group (PSQI score ≥ 9, n = 20) and the non-insomnia group (PSQI score < 9, n = 20). RESULTS The insomnia group showed a lower alpha diversity in the Chao1 and Shannon indices than the non-insomnia group after the false discovery rate (FDR) correction. The relative abundance of genus Bacteroides showed a positive correlation with PSQI scores in the non-insomnia group. The concentrations of glucosamine and N-methylglutamate were significantly higher in the insomnia group than in the non-insomnia group. CONCLUSIONS Our findings suggest that specific taxa could affect the sleep quality among patients with depression and anxiety disorders. Further studies are needed to elucidate the impact of sleep on specific gut microbiota and metabolomes in depression and anxiety disorders.
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Affiliation(s)
- Arisa Tanaka
- Department of Psychiatry, Showa University Karasuyama Hospital, Tokyo, Japan
| | - Kenji Sanada
- Department of Psychiatry, Showa University Karasuyama Hospital, Tokyo, Japan
| | - Katsuma Miyaho
- Department of Psychiatry, Showa University Karasuyama Hospital, Tokyo, Japan
| | - Tomoyuki Tachibana
- Department of Psychiatry, Showa University Karasuyama Hospital, Tokyo, Japan
| | - Shunya Kurokawa
- Department of Neuropsychiatry, Keio University Hospital, Tokyo, Japan
| | - Chiharu Ishii
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
| | - Yoshihiro Noda
- Department of Neuropsychiatry, Keio University Hospital, Tokyo, Japan
| | | | - Shinji Fukuda
- Institute for Advanced Biosciences, Keio University, Yamagata, Japan
- Intestinal Microbiota Project, Kanagawa Institute of Industrial Science and Technology, Kanagawa, Japan
- Transborder Medical Research Center, University of Tsukuba, Ibaraki, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University Hospital, Tokyo, Japan
| | | | - Akira Iwanami
- Department of Psychiatry, Showa University Karasuyama Hospital, Tokyo, Japan
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8
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Yang J, Su T, Zhang Y, Jia M, Yin X, Lang Y, Cui L. A bidirectional Mendelian randomization study investigating the causal role between gut microbiota and insomnia. Front Neurol 2023; 14:1277996. [PMID: 38145126 PMCID: PMC10740168 DOI: 10.3389/fneur.2023.1277996] [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: 08/15/2023] [Accepted: 11/21/2023] [Indexed: 12/26/2023] Open
Abstract
Background It has emerged that disturbances of the gut microbiota (GM) are linked to insomnia. However, the causality of the observed associations remains uncertain. Methods We conducted a two-sample Mendelian randomization analysis based on genome-wide association study data to explore the possible causal link between GM and insomnia. The GM data were from the MiBioGen consortium, while the summary statistics of insomnia were obtained from the FinnGen consortium R9 release data. Cochran's Q statistics were used to analyze instrumental variable heterogeneity. Results According to the inverse variance weighted estimates, the family Ruminococcaceae (odds ratio = 1.494, 95% confidence interval:1.004-2.223, p = 0.047) and the genus Lachnospiraceae (odds ratio = 1.726, 95% confidence interval: 1.191-2.501, p = 0.004) play a role in insomnia risk. In contrast, the genus Flavonifractor (odds ratio = 0.596, 95% confidence interval: 0.374-0.952, p = 0.030) and the genus Olsenella (odds ratio = 0.808, 95% confidence interval: 0.666-0.980, p = 0.031) tended to protect against insomnia. According to the reverse MR analysis, insomnia can also alter GM composition. Instrumental variables were neither heterogeneous nor horizontal pleiotropic. Conclusion In conclusion, our Mendelian randomization study provides evidence of a causal relationship between GM and insomnia. The identified GM may be promising gut biomarkers and new therapeutic targets for insomnia. This investigation also provides a foundation for future studies examining the influence of GM on sleep disorders beyond insomnia, with potential implications for redefining the mechanisms governing sleep regulation.
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Affiliation(s)
- Jie Yang
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Tengfei Su
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Yating Zhang
- Department of Otolaryngology, The Second Hospital of Jilin University, Changchun, China
| | - Menghan Jia
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Xiang Yin
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Yue Lang
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Li Cui
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
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Maes M, Vasupanrajit A, Jirakran K, Klomkliew P, Chanchaem P, Tunvirachaisakul C, Plaimas K, Suratanee A, Payungporn S. Adverse childhood experiences and reoccurrence of illness impact the gut microbiome, which affects suicidal behaviours and the phenome of major depression: towards enterotypic phenotypes. Acta Neuropsychiatr 2023; 35:328-345. [PMID: 37052305 DOI: 10.1017/neu.2023.21] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
The first publication demonstrating that major depressive disorder (MDD) is associated with alterations in the gut microbiota appeared in 2008 (Maes et al., 2008). The purpose of the present study is to delineate a) the microbiome signature of the phenome of depression, including suicidal behaviours (SB) and cognitive deficits; the effects of adverse childhood experiences (ACEs) and recurrence of illness index (ROI) on the microbiome; and the microbiome signature of lowered high-density lipoprotein cholesterol (HDLc). We determined isometric log-ratio abundances or prevalences of gut microbiome phyla, genera, and species by analysing stool samples from 37 healthy Thai controls and 32 MDD patients using 16S rDNA sequencing. Six microbiome taxa accounted for 36% of the variance in the depression phenome, namely Hungatella and Fusicatenibacter (positive associations) and Butyricicoccus, Clostridium, Parabacteroides merdae, and Desulfovibrio piger (inverse association). This profile (labelled enterotype 1) indicates compositional dysbiosis, is strongly predicted by ACE and ROI, and is linked to SB. A second enterotype was developed that predicted a decrease in HDLc and an increase in the atherogenic index of plasma (Bifidobacterium, P. merdae, and Romboutsia were positively associated, while Proteobacteria and Clostridium sensu stricto were negatively associated). Together, enterotypes 1 and 2 explained 40.4% of the variance in the depression phenome, and enterotype 1 in conjunction with HDLc explained 39.9% of the variance in current SB. In conclusion, the microimmuneoxysome is a potential new drug target for the treatment of severe depression and SB and possibly for the prevention of future episodes.
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Affiliation(s)
- Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
- Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul02447, Korea
- Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria
- IMPACT Strategic Research Center, Barwon Health, Geelong, Australia
| | - Asara Vasupanrajit
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
| | - Ketsupar Jirakran
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
- Maximizing Thai Children's Developmental Potential Research Unit, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Pavit Klomkliew
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Prangwalai Chanchaem
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Chavit Tunvirachaisakul
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand
| | - Kitiporn Plaimas
- Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok10330, Thailand
| | - Apichat Suratanee
- Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok10800, Thailand
| | - Sunchai Payungporn
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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10
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Huang H, Cheng S, Yang X, Liu L, Cheng B, Meng P, Pan C, Wen Y, Jia Y, Liu H, Zhang F. Dissecting the Association between Gut Microbiota and Brain Structure Change Rate: A Two-Sample Bidirectional Mendelian Randomization Study. Nutrients 2023; 15:4227. [PMID: 37836511 PMCID: PMC10574136 DOI: 10.3390/nu15194227] [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: 08/30/2023] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023] Open
Abstract
The connection between the gut microbiota and brain structure changes is still unclear. We conducted a Mendelian randomization (MR) study to examine the bidirectional causality between the gut microbiota (211 taxa, including 131 genera, 35 families, 20 orders, 16 classes and 9 phyla; N = 18,340 individuals) and age-independent/dependent longitudinal changes in brain structure across the lifespan (N = 15,640 individuals aged 4~99 years). We identified causal associations between the gut microbiota and age-independent/dependent longitudinal changes in brain structure, such as family Peptostreptococcaceae with age-independent longitudinal changes of cortical gray matter (GM) volume and genus Faecalibacterium with age-independent average cortical thickness and cortical GM volume. Taking age-independent longitudinal changes in brain structure across the lifespan as exposures, there were causal relationships between the surface area and genus Lachnospiraceae. Our findings may serve as fundamentals for further research on the genetic mechanisms and biological treatment of complex traits and diseases associated with the gut microbiota and the brain structure change rate.
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Affiliation(s)
- Huimei Huang
- Department of Nephrology, Xi’an Children’s Hospital, The Affiliated Children’s Hospital of Xi’an Jiaotong University, Xi’an 710003, China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China; (S.C.); (X.Y.); (L.L.); (B.C.); (P.M.); (C.P.); (Y.W.); (Y.J.); (H.L.)
| | - Xuena Yang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China; (S.C.); (X.Y.); (L.L.); (B.C.); (P.M.); (C.P.); (Y.W.); (Y.J.); (H.L.)
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China; (S.C.); (X.Y.); (L.L.); (B.C.); (P.M.); (C.P.); (Y.W.); (Y.J.); (H.L.)
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China; (S.C.); (X.Y.); (L.L.); (B.C.); (P.M.); (C.P.); (Y.W.); (Y.J.); (H.L.)
| | - Peilin Meng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China; (S.C.); (X.Y.); (L.L.); (B.C.); (P.M.); (C.P.); (Y.W.); (Y.J.); (H.L.)
| | - Chuyu Pan
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China; (S.C.); (X.Y.); (L.L.); (B.C.); (P.M.); (C.P.); (Y.W.); (Y.J.); (H.L.)
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China; (S.C.); (X.Y.); (L.L.); (B.C.); (P.M.); (C.P.); (Y.W.); (Y.J.); (H.L.)
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China; (S.C.); (X.Y.); (L.L.); (B.C.); (P.M.); (C.P.); (Y.W.); (Y.J.); (H.L.)
| | - Huan Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China; (S.C.); (X.Y.); (L.L.); (B.C.); (P.M.); (C.P.); (Y.W.); (Y.J.); (H.L.)
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China; (S.C.); (X.Y.); (L.L.); (B.C.); (P.M.); (C.P.); (Y.W.); (Y.J.); (H.L.)
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11
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Sleep-Related Changes Prior to Cognitive Dysfunction. Curr Neurol Neurosci Rep 2023; 23:177-183. [PMID: 36881255 DOI: 10.1007/s11910-023-01258-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2023] [Indexed: 03/08/2023]
Abstract
PURPOSE OF REVIEW The aim of this review is to summarize the current evidence on the relationship between sleep and cognition and present available data reporting the impact that sleep alterations may have on cognitive functions. RECENT FINDINGS Research findings support the idea that sleep is involved in cognitive processes and that altered sleep homeostasis or circadian rhythms may lead to clinical and biochemical changes associated with cognitive impairment. Evidence is particularly solid for the association between specific sleep architecture and circadian alterations and Alzheimer's disease. Sleep changes, as early manifestations or possible risk factors for neurodegeneration and cognitive decline, may be appropriate targets for interventions aiming to reduce the likelihood of dementia.
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12
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Mu J, Guo Z, Wang X, Wang X, Fu Y, Li X, Zhu F, Hu G, Ma X. Seaweed polysaccharide relieves hexavalent chromium-induced gut microbial homeostasis. Front Microbiol 2023; 13:1100988. [PMID: 36726569 PMCID: PMC9884827 DOI: 10.3389/fmicb.2022.1100988] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 12/15/2022] [Indexed: 01/19/2023] Open
Abstract
Heavy metals released in the environment pose a huge threat to soil and water quality, food safety and public health. Additionally, humans and other mammals may also be directly exposed to heavy metals or exposed to heavy metals through the food chain, which seriously threatens the health of animals and humans. Chromium, especially hexavalent chromium [Cr (VI)], as a common heavy metal, has been shown to cause serious environmental pollution as well as intestinal damage. Thus, increasing research is devoted to finding drugs to mitigate the negative health effects of hexavalent chromium exposure. Seaweed polysaccharides have been demonstrated to have many pharmacological effects, but whether it can alleviate gut microbial dysbiosis caused by hexavalent chromium exposure has not been well characterized. Here, we hypothesized that seaweed polysaccharides could alleviate hexavalent chromium exposure-induced poor health in mice. Mice in Cr and seaweed polysaccharide treatment group was compulsively receive K2Cr2O7. At the end of the experiment, all mice were euthanized, and colon contents were collected for DNA sequencing analysis. Results showed that seaweed polysaccharide administration can restore the gut microbial dysbiosis and the reduction of gut microbial diversity caused by hexavalent chromium exposure in mice. Hexavalent chromium exposure also caused significant changes in the gut microbial composition of mice, including an increase in some pathogenic bacteria and a decrease in beneficial bacteria. However, seaweed polysaccharides administration could ameliorate the composition of gut microbiota. In conclusion, this study showed that seaweed polysaccharides can restore the negative effects of hexavalent chromium exposure in mice, including gut microbial dysbiosis. Meanwhile, this research also lays the foundation for the application of seaweed polysaccharides.
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Affiliation(s)
- Jinghao Mu
- Department of Urology, Chinese PLA General Hospital, Beijing, China,Department of Urology, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zhenhuan Guo
- Zhengzhou Key Laboratory of Immunopharmacology of Traditional Chinese Veterinary Medicines, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China,*Correspondence: Zhenhuan Guo, ✉
| | - Xiujun Wang
- Zhengzhou Key Laboratory of Immunopharmacology of Traditional Chinese Veterinary Medicines, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China
| | - Xuefei Wang
- Zhengzhou Key Laboratory of Immunopharmacology of Traditional Chinese Veterinary Medicines, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China
| | - Yunxing Fu
- Zhengzhou Key Laboratory of Immunopharmacology of Traditional Chinese Veterinary Medicines, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China
| | - Xianghui Li
- Zhengzhou Key Laboratory of Immunopharmacology of Traditional Chinese Veterinary Medicines, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China
| | - Fuli Zhu
- Zhengzhou Key Laboratory of Immunopharmacology of Traditional Chinese Veterinary Medicines, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China
| | - Guangyuan Hu
- Zhengzhou Key Laboratory of Immunopharmacology of Traditional Chinese Veterinary Medicines, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China
| | - Xia Ma
- Zhengzhou Key Laboratory of Immunopharmacology of Traditional Chinese Veterinary Medicines, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China,Xia Ma, ✉
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13
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Malan-Müller S, Valles-Colomer M, Palomo T, Leza JC. The gut-microbiota-brain axis in a Spanish population in the aftermath of the COVID-19 pandemic: microbiota composition linked to anxiety, trauma, and depression profiles. Gut Microbes 2023; 15:2162306. [PMID: 36651663 PMCID: PMC9851210 DOI: 10.1080/19490976.2022.2162306] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 12/21/2022] [Indexed: 01/19/2023] Open
Abstract
The prevalence of anxiety and depression soared following the COVID-19 pandemic. To effectively treat these conditions, a comprehensive understanding of all etiological factors is needed. This study investigated fecal microbial features associated with mental health outcomes (symptoms of anxiety, depression, or posttraumatic stress disorder (PTSD)) in a Spanish cohort in the aftermath of the COVID-19 pandemic. Microbial communities from stool samples were profiled in 198 individuals who completed validated, self-report questionnaires. 16S ribosomal RNA gene V3-4 amplicon sequencing was performed. Microbial diversity and community structure were analyzed, together with relative taxonomic abundance. In our cohort of N=198, 17.17% reported depressive symptoms, 37.37% state anxiety symptoms, 40.90% trait anxiety symptoms, and 8.08% PTSD symptoms, with high levels of comorbidity. Individuals with trait anxiety had lower Simpson's diversity. Fusicatenibacter saccharivorans was reduced in individuals with comorbid PTSD + depression + state and trait anxiety symptoms, whilst an expansion of Proteobacteria and depletion of Synergistetes phyla were noted in individuals with depressive symptoms. The relative abundance of Anaerostipes was positively correlated with childhood trauma, and higher levels of Turicibacter sanguinis and lower levels of Lentisphaerae were found in individuals who experienced life-threatening traumas. COVID-19 infection and vaccination influenced the overall microbial composition and were associated with distinct relative taxonomic abundance profiles. These findings will help lay the foundation for future studies to identify microbial role players in symptoms of anxiety, depression, and PTSD and provide future therapeutic targets to improve mental health outcomes.
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Affiliation(s)
- Stefanie Malan-Müller
- Department of Pharmacology and Toxicology, Faculty of Medicine, University Complutense Madrid (UCM), Madrid, Spain
- Biomedical Network Research Center of Mental Health (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
- Neurochemistry Research Institute UCM, Hospital 12 de Octubre Research Institute (Imas12), Madrid, Spain
| | - Mireia Valles-Colomer
- Department of Cellular Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Tomás Palomo
- Biomedical Network Research Center of Mental Health (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
- Neurochemistry Research Institute UCM, Hospital 12 de Octubre Research Institute (Imas12), Madrid, Spain
| | - Juan C. Leza
- Department of Pharmacology and Toxicology, Faculty of Medicine, University Complutense Madrid (UCM), Madrid, Spain
- Biomedical Network Research Center of Mental Health (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
- Neurochemistry Research Institute UCM, Hospital 12 de Octubre Research Institute (Imas12), Madrid, Spain
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14
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Liu Y, Li Z, Sun T, He Z, Xiang H, Xiong J. Gut microbiota-generated short-chain fatty acids are involved in para-chlorophenylalanine-induced cognitive disorders. Front Microbiol 2022; 13:1028913. [PMID: 36419424 PMCID: PMC9676499 DOI: 10.3389/fmicb.2022.1028913] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/12/2022] [Indexed: 08/30/2023] Open
Abstract
Neurocognitive disorders (NCDs) include complex and multifactorial diseases that affect many patients. The 5-hydroxytryptamine (5-HT) neuron system plays an important role in NCDs. Existing studies have reported that para-chlorophenylalanine (PCPA), a 5-HT scavenger, has a negative effect on cognitive function. However, we believe that PCPA may result in NCDs through other pathways. To explore this possibility, behavioral tests were performed to evaluate the cognitive function of PCPA-treated mice, suggesting the appearance of cognitive dysfunction and depression-like behavior. Furthermore, 16S rRNA and metabolomic analyses revealed that dysbiosis and acetate alternation could be related to PCPA-induced NCDs. Our results suggest that not only 5-HT depletion but also dysbiosis and acetate alternation contributed to PCPA-related NCDs. Specifically, the latter promotes NCDs by reducing short-chain fatty acid levels. Together, these findings provide an alternative perspective on PCPA-induced NCDs.
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Affiliation(s)
- Yanbo Liu
- Department of Anesthesiology and Pain Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen Li
- Department of Anesthesiology and Pain Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianning Sun
- Department of Anesthesiology and Pain Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhigang He
- Department of Anesthesiology and Pain Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongbing Xiang
- Department of Anesthesiology and Pain Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Xiong
- Hepatobiliary Surgery Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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15
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Multiomics Analysis Reveals Aberrant Metabolism and Immunity Linked Gut Microbiota with Insomnia. Microbiol Spectr 2022; 10:e0099822. [PMID: 36190400 PMCID: PMC9602994 DOI: 10.1128/spectrum.00998-22] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Studies have confirmed that insomnia is related to gut microbiota. Previous research suggests that immunity and metabolism are also associated with insomnia. However, to our knowledge, the integration of these factors has not been investigated in insomnia. Here, we explored the correlations across gut microbiota, serum metabolism, and inflammatory factors in insomnia. Our results showed that the composition and structure of gut microbiota and metabolism in insomnia patients were different from healthy controls. Compared to healthy controls, the relative abundances of Lactobacillus, Streptococcus, and Lactobacillus crispatus were significantly increased in insomniacs. There were five metabolic pathways in insomniacs (glycerophospholipid metabolism; glutathione metabolism; nitrogen metabolism; alanine, aspartate, and glutamate metabolism; aminoacyl-tRNA biosynthesis) significantly different between the two groups. Moreover, we found that IL-1β levels were significantly higher in insomnia patients while TNF-α was significantly reduced. We further identified that the changes in the level of IL-1β and TNF-α were associated with some specific bacteria and metabolites, such as Prevotella amnii, Prevotella buccalis, Prevotella timonensis, and Prevotella colorans. Mediation analysis further determined that the immune factors and metabolites could mediate the relationship between gut microbes and insomnia. IMPORTANCE Our study indicated that systematic inflammation and metabolites might be a pathway linking the gut microbiome with insomnia. These findings provide new insights and a better understanding of gut microbiota's role in insomnia as well as potential novel microbiome-related etiologies for insomnia.
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16
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Tomita S, Kusada H, Kojima N, Ishihara S, Miyazaki K, Tamaki H, Kurita R. Polymer-based chemical-nose systems for optical-pattern recognition of gut microbiota. Chem Sci 2022; 13:5830-5837. [PMID: 35685788 PMCID: PMC9132137 DOI: 10.1039/d2sc00510g] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 04/06/2022] [Indexed: 11/24/2022] Open
Abstract
Gut-microbiota analysis has been recognized as crucial in health management and disease treatment. Metagenomics, a current standard examination method for the gut microbiome, is effective but requires both expertise and significant amounts of general resources. Here, we show highly accessible sensing systems based on the so-called chemical-nose strategy to transduce the characteristics of microbiota into fluorescence patterns. The fluorescence patterns, generated by twelve block copolymers with aggregation-induced emission (AIE) units, were analyzed using pattern-recognition algorithms, which identified 16 intestinal bacterial strains in a way that correlates with their genome-based taxonomic classification. Importantly, the chemical noses classified artificial models of obesity-associated gut microbiota, and further succeeded in detecting sleep disorder in mice through comparative analysis of normal and abnormal mouse gut microbiota. Our techniques thus allow analyzing complex bacterial samples far more quickly, simply, and inexpensively than common metagenome-based methods, which offers a powerful and complementary tool for the practical analysis of the gut microbiome.
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Affiliation(s)
- Shunsuke Tomita
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology 1-1-1 Higashi Tsukuba Ibaraki 305-8566 Japan
- DBT-AIST International Laboratory for Advanced Biomedicine (DAILAB), DBT-AIST International Center for Translational & Environmental Research (DAICENTER) Japan
| | - Hiroyuki Kusada
- Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology Japan
| | - Naoshi Kojima
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology 1-1-1 Higashi Tsukuba Ibaraki 305-8566 Japan
| | - Sayaka Ishihara
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology 1-1-1 Higashi Tsukuba Ibaraki 305-8566 Japan
| | - Koyomi Miyazaki
- Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology Japan
| | - Hideyuki Tamaki
- Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology Japan
- JST ERATO Nomura Microbial Community Control Project, University of Tsukuba Japan
| | - Ryoji Kurita
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology 1-1-1 Higashi Tsukuba Ibaraki 305-8566 Japan
- DBT-AIST International Laboratory for Advanced Biomedicine (DAILAB), DBT-AIST International Center for Translational & Environmental Research (DAICENTER) Japan
- Faculty of Pure and Applied Sciences, University of Tsukuba Japan
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17
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Influence of warm acupuncture on gut microbiota and metabolites in rats with insomnia induced by PCPA. PLoS One 2022; 17:e0267843. [PMID: 35482778 PMCID: PMC9049555 DOI: 10.1371/journal.pone.0267843] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 04/14/2022] [Indexed: 01/13/2023] Open
Abstract
Background Insomnia is the most common of the sleep disorders. Current pharmacotherapy treatment options are usually associated with adverse effects and withdrawal phenomena. Therapeutic alternatives with a more favorable safety profile for patients are needed. Mongolian medical warm acupuncture (MMWA) is an emerging therapeutic option for treating insomnia. However, the underlying mechanisms responsible for the anti-insomnia efficacy of the MMWA remain unclear. This study aims to investigate the effect of the MMWA on the alterations of the gut microbiota and serum metabolome in rats with insomnia. Results We found that the relative abundances of gut bacteria and the concentrations of several serum metabolites were obviously altered in PCPA-induced insomnia rats. The MMWA treatment exerted an anti-insomnia effect. In addition, the dysbiosis of the gut microbiota and the serum metabolites were ameliorated by the MMWA. Correlation analysis between the gut microbiota and metabolites suggested that the levels of Amide c18, Benzoyl chloride, Cytosine, and N, n-dimethylarginine were positively correlated with the relative abundance of Clostridium XlVa and Blautia, which characterized the insomnia rats. KEGG enrichment analysis identified the cAMP signaling pathway involving anti-insomnia effect of the MMWA. Moreover, the MMWA intervention significantly increased contents of butyrate in feces, while effectively inhibited the expression level of GAT-1 in brain tissues. Conclusion This study reveals that the MMWA intervention might have a major impact on the modulation of host gut microbiota and metabolites, which in turn have a crucial role in the regulation of the host’s signaling pathways associated with insomnia. The present study could provide useful ideas for the study of the intervention mechanisms of the MMWA in insomnia rat models.
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18
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Chen Z, Feng Y, Li S, Hua K, Fu S, Chen F, Chen H, Pan L, Wu C, Jiang G. Altered functional connectivity strength in chronic insomnia associated with gut microbiota composition and sleep efficiency. Front Psychiatry 2022; 13:1050403. [PMID: 36483137 PMCID: PMC9722753 DOI: 10.3389/fpsyt.2022.1050403] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 10/31/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND There is limited evidence on the link between gut microbiota (GM) and resting-state brain activity in patients with chronic insomnia (CI). This study aimed to explore the alterations in brain functional connectivity strength (FCS) in CI and the potential associations among altered FCS, GM composition, and neuropsychological performance indicators. MATERIALS AND METHODS Thirty CI patients and 34 age- and gender-matched healthy controls (HCs) were recruited. Each participant underwent resting-state functional magnetic resonance imaging (rs-fMRI) for the evaluation of brain FCS and was administered sleep-, mood-, and cognitive-related questionnaires for the evaluation of neuropsychological performance. Stool samples of CI patients were collected and subjected to 16S rDNA amplicon sequencing to assess the relative abundance (RA) of GM. Redundancy analysis or canonical correspondence analysis (RDA or CCA, respectively) was used to investigate the relationships between GM composition and neuropsychological performance indicators. Spearman correlation was further performed to analyze the associations among alterations in FCS, GM composition, and neuropsychological performance indicators. RESULTS The CI group showed a reduction in FCS in the left superior parietal gyrus (SPG) compared to the HC group. The correlation analysis showed that the FCS in the left SPG was correlated with sleep efficiency and some specific bacterial genera. The results of CCA and RDA showed that 38.21% (RDA) and 24.62% (CCA) of the GM composition variation could be interpreted by neuropsychological performance indicators. Furthermore, we found complex relationships between Alloprevotella, specific members of the family Lachnospiraceae, Faecalicoccus, and the FCS alteration, and neuropsychological performance indicators. CONCLUSION The brain FCS alteration of patients with CI was related to their GM composition and neuropsychological performance indicators, and there was also an association to some extent between the latter two, suggesting a specific interaction pattern among the three aspects: brain FCS alteration, GM composition, and neuropsychological performance indicators.
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Affiliation(s)
- Ziwei Chen
- Jinan University, Guangzhou, China.,Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Ying Feng
- Department of Radiology, Affiliated Hospital of Chengdu University, Chengdu, China
| | - Shumei Li
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Kelei Hua
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Shishun Fu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Feng Chen
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Huiyu Chen
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | | | - Caojun Wu
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Guihua Jiang
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China.,Jinan University, Guangzhou, China
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