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Theleritis C, Stefanou MI, Demetriou M, Alevyzakis E, Triantafyllou K, Smyrnis N, Spandidos DA, Rizos E. Association of gut dysbiosis with first‑episode psychosis (Review). Mol Med Rep 2024; 30:130. [PMID: 38785152 PMCID: PMC11148526 DOI: 10.3892/mmr.2024.13254] [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: 03/14/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024] Open
Abstract
The gut‑microbiota‑brain axis is a complex bidirectional communication system linking the gastrointestinal tract to the brain. Changes in the balance, composition and diversity of the gut‑microbiota (gut dysbiosis) have been found to be associated with the development of psychosis. Early‑life stress, along with various stressors encountered in different developmental phases, have been shown to be associated with the abnormal composition of the gut microbiota, leading to irregular immunological and neuroendocrine functions, which are potentially responsible for the occurrence of first‑episode psychosis (FEP). The aim of the present narrative review was to summarize the significant differences of the altered microbiome composition in patients suffering from FEP vs. healthy controls, and to discuss its effects on the occurrence and intensity of symptoms in FEP.
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Affiliation(s)
- Christos Theleritis
- Second Department of Psychiatry, Attikon University General Hospital, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Maria-Ioanna Stefanou
- Second Department of Neurology, School of Medicine, Attikon University General Hospital, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Marina Demetriou
- Second Department of Psychiatry, Attikon University General Hospital, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Evangelos Alevyzakis
- Second Department of Psychiatry, Attikon University General Hospital, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Konstantinos Triantafyllou
- Hepatogastroenterology Unit, Second Department of Propaedeutic Internal Medicine, Attikon University General Hospital, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Nikolaos Smyrnis
- Second Department of Psychiatry, Attikon University General Hospital, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Demetrios A. Spandidos
- Laboratory of Clinical Virology, Medical School, University of Crete, 71003 Heraklion, Greece
| | - Emmanouil Rizos
- Second Department of Psychiatry, Attikon University General Hospital, National and Kapodistrian University of Athens, 12462 Athens, Greece
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2
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De Sales-Millán A, Reyes-Ferreira P, Aguirre-Garrido JF, Corral-Guillé I, Barrientos-Ríos R, Velázquez-Aragón JA. Comprehensive Analysis of Gut Microbiota Composition and Functional Metabolism in Children with Autism Spectrum Disorder and Neurotypical Children: Implications for Sex-Based Differences and Metabolic Dysregulation. Int J Mol Sci 2024; 25:6701. [PMID: 38928411 PMCID: PMC11203636 DOI: 10.3390/ijms25126701] [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: 04/29/2024] [Revised: 05/31/2024] [Accepted: 06/02/2024] [Indexed: 06/28/2024] Open
Abstract
This study aimed to investigate the gut microbiota composition in children with autism spectrum disorder (ASD) compared to neurotypical (NT) children, with a focus on identifying potential differences in gut bacteria between these groups. The microbiota was analyzed through the massive sequencing of region V3-V4 of the 16S RNA gene, utilizing DNA extracted from stool samples of participants. Our findings revealed no significant differences in the dominant bacterial phyla (Firmicutes, Bacteroidota, Actinobacteria, Proteobacteria, Verrucomicrobiota) between the ASD and NT groups. However, at the genus level, notable disparities were observed in the abundance of Blautia, Prevotella, Clostridium XI, and Clostridium XVIII, all of which have been previously associated with ASD. Furthermore, a sex-based analysis unveiled additional discrepancies in gut microbiota composition. Specifically, three genera (Megamonas, Oscilibacter, Acidaminococcus) exhibited variations between male and female groups in both ASD and NT cohorts. Particularly noteworthy was the exclusive presence of Megamonas in females with ASD. Analysis of predicted metabolic pathways suggested an enrichment of pathways related to amine and polyamine degradation, as well as amino acid degradation in the ASD group. Conversely, pathways implicated in carbohydrate biosynthesis, degradation, and fermentation were found to be underrepresented. Despite the limitations of our study, including a relatively small sample size (30 ASD and 31 NT children) and the utilization of predicted metabolic pathways derived from 16S RNA gene analysis rather than metagenome sequencing, our findings contribute to the growing body of evidence suggesting a potential association between gut microbiota composition and ASD. Future research endeavors should focus on validating these findings with larger sample sizes and exploring the functional significance of these microbial differences in ASD. Additionally, there is a critical need for further investigations to elucidate sex differences in gut microbiota composition and their potential implications for ASD pathology and treatment.
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Affiliation(s)
- Amapola De Sales-Millán
- Doctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Ciudad de México 09340, Mexico;
| | - Paulina Reyes-Ferreira
- Departamento de Salud Mental, Instituto Nacional de Pediatría, Ciudad de México 04530, Mexico;
| | - José Félix Aguirre-Garrido
- Departamento de Ciencias Ambientales, Universidad Autónoma Metropolitana-Lerma, Lerma 52006, Estado de Mexico, Mexico;
| | - Ismene Corral-Guillé
- Centro de Investigación del Neurodesarrollo, Instituto Nacional de Pediatría, Ciudad de México 04530, Mexico;
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Wang B, Luan Y. Evaluation of normalization methods for predicting quantitative phenotypes in metagenomic data analysis. Front Genet 2024; 15:1369628. [PMID: 38903761 PMCID: PMC11188486 DOI: 10.3389/fgene.2024.1369628] [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: 01/12/2024] [Accepted: 05/13/2024] [Indexed: 06/22/2024] Open
Abstract
Genotype-to-phenotype mapping is an essential problem in the current genomic era. While qualitative case-control predictions have received significant attention, less emphasis has been placed on predicting quantitative phenotypes. This emerging field holds great promise in revealing intricate connections between microbial communities and host health. However, the presence of heterogeneity in microbiome datasets poses a substantial challenge to the accuracy of predictions and undermines the reproducibility of models. To tackle this challenge, we investigated 22 normalization methods that aimed at removing heterogeneity across multiple datasets, conducted a comprehensive review of them, and evaluated their effectiveness in predicting quantitative phenotypes in three simulation scenarios and 31 real datasets. The results indicate that none of these methods demonstrate significant superiority in predicting quantitative phenotypes or attain a noteworthy reduction in Root Mean Squared Error (RMSE) of the predictions. Given the frequent occurrence of batch effects and the satisfactory performance of batch correction methods in predicting datasets affected by these effects, we strongly recommend utilizing batch correction methods as the initial step in predicting quantitative phenotypes. In summary, the performance of normalization methods in predicting metagenomic data remains a dynamic and ongoing research area. Our study contributes to this field by undertaking a comprehensive evaluation of diverse methods and offering valuable insights into their effectiveness in predicting quantitative phenotypes.
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Affiliation(s)
- Beibei Wang
- Frontier Science Center for Nonlinear Expectations, Ministry of Education, Qingdao, China
- Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, China
- School of Mathematics, Shandong University, Jinan, China
| | - Yihui Luan
- Frontier Science Center for Nonlinear Expectations, Ministry of Education, Qingdao, China
- Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, China
- School of Mathematics, Shandong University, Jinan, China
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Suslov AV, Panas A, Sinelnikov MY, Maslennikov RV, Trishina AS, Zharikova TS, Zharova NV, Kalinin DV, Pontes-Silva A, Zharikov YO. Applied physiology: gut microbiota and antimicrobial therapy. Eur J Appl Physiol 2024; 124:1631-1643. [PMID: 38683402 DOI: 10.1007/s00421-024-05496-1] [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: 02/09/2024] [Accepted: 04/22/2024] [Indexed: 05/01/2024]
Abstract
The gut microbiota plays an important role in maintaining human health and in the pathogenesis of several diseases. Antibiotics are among the most commonly prescribed drugs and have a significant impact on the structure and function of the gut microbiota. The understanding that a healthy gut microbiota prevents the development of many diseases has also led to its consideration as a potential therapeutic target. At the same time, any factor that alters the gut microbiota becomes important in this approach. Exercise and antibacterial therapy have a direct effect on the microbiota. The review reflects the current state of publications on the mechanisms of intestinal bacterial involvement in the pathogenesis of cardiovascular, metabolic, and neurodegenerative diseases. The physiological mechanisms of the influence of physical activity on the composition of the gut microbiota are considered. The mechanisms of the common interface between exercise and antibacterial therapy will be considered using the example of several socially important diseases. The aim of the study is to show the physiological relationship between the effects of exercise and antibiotics on the gut microbiota.
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Affiliation(s)
- Andrey V Suslov
- Russian National Centre of Surgery, Avtsyn Research Institute of Human Morphology, Moscow, 117418, Russia
- Pirogov Russian National Research Medical University (RNRMU), Moscow, 117997, Russia
| | - Alin Panas
- N.V. Sklifosovsky Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), St. Trubetskaya, 8, Bld. 2, Moscow, 119991, Russia
| | - Mikhail Y Sinelnikov
- Department of Oncology, Radiotherapy and Reconstructive Surgery, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119048, Russia
| | - Roman V Maslennikov
- Department of Internal Medicine, Gastroenterology and Hepatology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119435, Russia
| | - Aleksandra S Trishina
- N.V. Sklifosovsky Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), St. Trubetskaya, 8, Bld. 2, Moscow, 119991, Russia
| | - Tatyana S Zharikova
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 125009, Russia
- Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Nataliya V Zharova
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 125009, Russia
| | - Dmitry V Kalinin
- Pathology Department, A.V. Vishnevsky National Medical Research Center of Surgery, Moscow, 115093, Russia
| | - André Pontes-Silva
- Postgraduate Program in Physical Therapy (PPGFT), Department of Physical Therapy (DFisio), Universidade Federal de São Carlos (UFSCar), São Carlos (SP), Brazil.
| | - Yury O Zharikov
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 125009, Russia
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Richter CF, Skibicka KP, Meyer U, Rohrmann S, Krieger JP. A vagal influence on schizophrenia? A nationwide retrospective cohort of vagotomized individuals. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.30.24301418. [PMID: 38352405 PMCID: PMC10862985 DOI: 10.1101/2024.01.30.24301418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/19/2024]
Abstract
Background and Objectives Emerging preclinical evidence suggests that vagal signals contribute to the development of schizophrenia-related abnormalities in brain and behavior. Whether vagal communication in general, and its impairment in particular, is a risk factor for schizophrenia in humans remains, however, unclear. Vagotomy, the surgical lesion of the vagus nerve, was routinely performed as a treatment for peptic ulcer before modern treatment options were available. Hence, the primary aim of this study was to investigate whether vagotomy modulates the subsequent risk of developing schizophrenia. Moreover, given the existence of diverse vagotomy techniques (i.e., "truncal" or "selective"), our secondary goal was to test whether the extent of denervation modulates the risk of schizophrenia. Methods Using a nationwide retrospective matched cohort design, we identified 8,315 vagotomized individuals from the Swedish National Patient Register during the period 1970-2020 and 40,855 non-vagotomized individuals matching for age, sex and type of peptic ulcer. The risk of being diagnosed with schizophrenia and associated psychoses (ICD10 codes F20-29) was analyzed using Cox proportional hazards regression models, including death as competing risk. Results When considering all types of vagotomy together, vagotomy was not significantly associated with schizophrenia (HR: 0.91 [0.72; 1.16]). However, truncal vagotomy (which denervates all subdiaphragmatic organs) significantly increased the risk of developing schizophrenia by 69% (HR: 1.69 [1.08; 2.64]), whereas selective vagotomy (which only denervates the stomach) showed no significant association (HR: 0.80 [0.61; 1.04]). Discussion Our results provide epidemiological support for the hypothesis that impairments in vagal functions could increase the risk of schizophrenia. Notably, the finding that truncal but not selective vagotomy is associated with an increased risk of schizophrenia raises the possibility that the activity of subdiaphragmatic non-gastric vagal branches may be of particular relevance for the development of schizophrenia.
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Affiliation(s)
- Cornelia F Richter
- Institute of Veterinary Pharmacology and Toxicology, University of Zurich-Vetsuisse, Switzerland
| | - Karolina P Skibicka
- Institute of Neuroscience and Physiology, University of Gothenburg, Sweden
- Department of Nutritional Sciences, Pennsylvania State University, State College, PA, United States
| | - Urs Meyer
- Institute of Veterinary Pharmacology and Toxicology, University of Zurich-Vetsuisse, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Switzerland
| | - Sabine Rohrmann
- Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland
| | - Jean-Philippe Krieger
- Institute of Veterinary Pharmacology and Toxicology, University of Zurich-Vetsuisse, Switzerland
- Institute of Neuroscience and Physiology, University of Gothenburg, Sweden
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6
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Weber KT, Varian BJ, Erdman SE. The gut microbiome and sociability. Front Neurosci 2024; 18:1372274. [PMID: 38629051 PMCID: PMC11018908 DOI: 10.3389/fnins.2024.1372274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 03/18/2024] [Indexed: 04/19/2024] Open
Abstract
The human gut microbiome plays an important role in the maturation of the neural, immune, and endocrine systems. Research data from animal models shows that gut microbiota communicate with the host's brain in an elaborate network of signaling pathways, including the vagus nerve. Part of the microbiome's influence extends to the behavioral and social development of its host. As a social species, a human's ability to communicate with others is imperative to their survival and quality of life. Current research explores the gut microbiota's developmental influence as well as how these gut-brain pathways can be leveraged to alleviate the social symptoms associated with various neurodevelopmental and psychiatric diseases. One intriguing vein of research in animal models centers on probiotic treatment, which leads to downstream increased circulation of endogenous oxytocin, a neuropeptide hormone relevant to sociability. Further research may lead to therapeutic applications in humans, particularly in the early stages of their lives.
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Affiliation(s)
| | | | - Susan E. Erdman
- Division of Comparative Medicine, Massachusetts Institute of Technology, Cambridge, MA, United States
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7
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Peng C, Chen Q, Tan S, Shen X, Jiang C. Generalized reporter score-based enrichment analysis for omics data. Brief Bioinform 2024; 25:bbae116. [PMID: 38546324 PMCID: PMC10976918 DOI: 10.1093/bib/bbae116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/25/2024] [Accepted: 03/01/2024] [Indexed: 06/15/2024] Open
Abstract
Enrichment analysis contextualizes biological features in pathways to facilitate a systematic understanding of high-dimensional data and is widely used in biomedical research. The emerging reporter score-based analysis (RSA) method shows more promising sensitivity, as it relies on P-values instead of raw values of features. However, RSA cannot be directly applied to multi-group and longitudinal experimental designs and is often misused due to the lack of a proper tool. Here, we propose the Generalized Reporter Score-based Analysis (GRSA) method for multi-group and longitudinal omics data. A comparison with other popular enrichment analysis methods demonstrated that GRSA had increased sensitivity across multiple benchmark datasets. We applied GRSA to microbiome, transcriptome and metabolome data and discovered new biological insights in omics studies. Finally, we demonstrated the application of GRSA beyond functional enrichment using a taxonomy database. We implemented GRSA in an R package, ReporterScore, integrating with a powerful visualization module and updatable pathway databases, which is available on the Comprehensive R Archive Network (https://cran.r-project.org/web/packages/ReporterScore). We believe that the ReporterScore package will be a valuable asset for broad biomedical research fields.
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Affiliation(s)
- Chen Peng
- MOE Key Laboratory of Biosystems Homeostasis & Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310030, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Qiong Chen
- MOE Key Laboratory of Biosystems Homeostasis & Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310030, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Shangjin Tan
- BGI Research, Wuhan, Hubei 430074, China
- BGI Research, Shenzhen, Guangdong 518083, China
| | - Xiaotao Shen
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Chao Jiang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310030, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
- Center for Life Sciences, Shaoxing Institute, Zhejiang University, Shaoxing, Zhejiang 321000, China
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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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Huang Z, Peng C, Rong Z, Jiang L, Li Y, Feng Y, Chen S, Xie C, Jiang C. Longitudinal Mapping of Personal Biotic and Abiotic Exposomes and Transcriptome in Underwater Confined Space Using Wearable Passive Samplers. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:5229-5243. [PMID: 38466915 DOI: 10.1021/acs.est.3c09379] [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: 03/13/2024]
Abstract
Silicone-based passive samplers, commonly paired with gas chromatography-mass spectrometry (GC-MS) analysis, are increasingly utilized for personal exposure assessments. However, its compatibility with the biotic exposome remains underexplored. In this study, we introduce the wearable silicone-based AirPie passive sampler, coupled with nontargeted liquid chromatography with high-resolution tandem mass spectrometry (LC-HRMS/MS), GC-HRMS, and metagenomic shotgun sequencing methods, offering a comprehensive view of personalized airborne biotic and abiotic exposomes. We applied the AirPie samplers to 19 participants in a unique deep underwater confined environment, annotating 4,390 chemical and 2,955 microbial exposures, integrated with corresponding transcriptomic data. We observed significant shifts in environmental exposure and gene expression upon entering this unique environment. We noted increased exposure to pollutants, such as benzenoids, polycyclic aromatic hydrocarbons (PAHs), opportunistic pathogens, and associated antibiotic-resistance genes (ARGs). Transcriptomic analyses revealed the activation of neurodegenerative disease-related pathways, mostly related to chemical exposure, and the repression of immune-related pathways, linked to both biological and chemical exposures. In summary, we provided a comprehensive, longitudinal exposome map of the unique environment and underscored the intricate linkages between external exposures and human health. We believe that the AirPie sampler and associated analytical methods will have broad applications in exposome and precision medicine.
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Affiliation(s)
- Zinuo Huang
- MOE Key Laboratory of Biosystems Homeostasis and Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
- Center for Life Sciences, Shaoxing Institute, Zhejiang University, Shaoxing, Zhejiang 321000, China
| | - Chen Peng
- MOE Key Laboratory of Biosystems Homeostasis and Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Zixin Rong
- MOE Key Laboratory of Biosystems Homeostasis and Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Liuyiqi Jiang
- MOE Key Laboratory of Biosystems Homeostasis and Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Yueer Li
- MOE Key Laboratory of Biosystems Homeostasis and Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Yue Feng
- School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China
| | | | | | - Chao Jiang
- MOE Key Laboratory of Biosystems Homeostasis and Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
- Center for Life Sciences, Shaoxing Institute, Zhejiang University, Shaoxing, Zhejiang 321000, China
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Yuan C, Yu XT, Wang J, Shu B, Wang XY, Huang C, Lv X, Peng QQ, Qi WH, Zhang J, Zheng Y, Wang SJ, Liang QQ, Shi Q, Li T, Huang H, Mei ZD, Zhang HT, Xu HB, Cui J, Wang H, Zhang H, Shi BH, Sun P, Zhang H, Ma ZL, Feng Y, Chen L, Zeng T, Tang DZ, Wang YJ. Multi-modal molecular determinants of clinically relevant osteoporosis subtypes. Cell Discov 2024; 10:28. [PMID: 38472169 PMCID: PMC10933295 DOI: 10.1038/s41421-024-00652-5] [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: 08/09/2023] [Accepted: 01/24/2024] [Indexed: 03/14/2024] Open
Abstract
Due to a rapidly aging global population, osteoporosis and the associated risk of bone fractures have become a wide-spread public health problem. However, osteoporosis is very heterogeneous, and the existing standard diagnostic measure is not sufficient to accurately identify all patients at risk of osteoporotic fractures and to guide therapy. Here, we constructed the first prospective multi-omics atlas of the largest osteoporosis cohort to date (longitudinal data from 366 participants at three time points), and also implemented an explainable data-intensive analysis framework (DLSF: Deep Latent Space Fusion) for an omnigenic model based on a multi-modal approach that can capture the multi-modal molecular signatures (M3S) as explicit functional representations of hidden genotypes. Accordingly, through DLSF, we identified two subtypes of the osteoporosis population in Chinese individuals with corresponding molecular phenotypes, i.e., clinical intervention relevant subtypes (CISs), in which bone mineral density benefits response to calcium supplements in 2-year follow-up samples. Many snpGenes associated with these molecular phenotypes reveal diverse candidate biological mechanisms underlying osteoporosis, with xQTL preferences of osteoporosis and its subtypes indicating an omnigenic effect on different biological domains. Finally, these two subtypes were found to have different relevance to prior fracture and different fracture risk according to 4-year follow-up data. Thus, in clinical application, M3S could help us further develop improved diagnostic and treatment strategies for osteoporosis and identify a new composite index for fracture prediction, which were remarkably validated in an independent cohort (166 participants).
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Affiliation(s)
- Chunchun Yuan
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Xiang-Tian Yu
- Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Wang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Shanghai Geriatric Institute of Chinese Medicine, Shanghai, China
| | - Bing Shu
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiao-Yun Wang
- Shanghai Research Institute of Acupuncture and Meridian, Shanghai, China
| | - Chen Huang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Xia Lv
- Hudong Hospital of Shanghai, Shanghai, China
| | - Qian-Qian Peng
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Wen-Hao Qi
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - Jing Zhang
- Green Valley (Shanghai) Pharmaceuticals Co., Ltd., Shanghai, China
| | - Yan Zheng
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - Si-Jia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qian-Qian Liang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Qi Shi
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
- Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ting Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - He Huang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China
| | - Zhen-Dong Mei
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - Hai-Tao Zhang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Hong-Bin Xu
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Jiarui Cui
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Hongyu Wang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Hong Zhang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Bin-Hao Shi
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Pan Sun
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Hui Zhang
- Hudong Hospital of Shanghai, Shanghai, China
| | | | - Yuan Feng
- Green Valley (Shanghai) Pharmaceuticals Co., Ltd., Shanghai, China
| | - Luonan Chen
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
| | - Tao Zeng
- Guangzhou National Laboratory, Guangzhou, China.
| | - De-Zhi Tang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China.
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China.
| | - Yong-Jun Wang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China.
- Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China.
- Shanghai University of Traditional Chinese Medicine, Shanghai, China.
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11
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Vasileva SS, Yang Y, Baker A, Siskind D, Gratten J, Eyles D. Associations of the Gut Microbiome With Treatment Resistance in Schizophrenia. JAMA Psychiatry 2024; 81:292-302. [PMID: 38294805 PMCID: PMC10831632 DOI: 10.1001/jamapsychiatry.2023.5371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 11/09/2023] [Indexed: 02/01/2024]
Abstract
Importance There is growing interest in the role of gut microbiome composition in schizophrenia. However, lifestyle factors are often neglected, and few studies have investigated microbiome composition in treatment-resistant schizophrenia. Objective To explore associations between the gut microbiome and schizophrenia diagnosis, treatment resistance, clozapine response, and treatment-related adverse effects while adjusting for demographic and lifestyle factors. Design, Setting, and Participants In this case-control study of adults aged 20 to 63 years, stool samples and data on demographic characteristics, lifestyle, and medication use were collected and gut microbiome measures obtained using shotgun metagenomics. Participants with a schizophrenia diagnosis were referred through psychiatric inpatient units and outpatient clinics. Data were collected for 4 distinct groups: control individuals without a psychiatric diagnosis (past or present), individuals with treatment-responsive schizophrenia taking nonclozapine antipsychotic medications, clozapine-responsive individuals with treatment-resistant schizophrenia, and clozapine-nonresponsive individuals with treatment-resistant schizophrenia. Participants were recruited between November 2020 and November 2021. Control individuals were recruited in parallel through posters and online advertisements and matched for age, sex, and body mass index (BMI) to the individuals with schizophrenia. Participants were excluded if taking antibiotics in the past 2 months, if unable to communicate in English or otherwise follow study instructions, were pregnant or planning to become pregnant, or had any concomitant disease or condition making them unsuited to the study per investigator assessment. Data were analyzed from January 2022 to March 2023. Main Outcomes and Measures Omics relationship matrices, α and β diversity, and relative abundance of microbiome features. Results Data were collected for 97 individuals (71 [74%] male; mean [SD] age, 40.4 [10.3] years; mean [SD] BMI, 32.8 [7.4], calculated as weight in kilograms divided by height in meters squared). Significant microbiome associations with schizophrenia were observed at multiple taxonomic and functional levels (eg, common species: b2, 30%; SE, 13%; adjusted P = .002) and treatment resistance (eg, common species: b2, 27%; SE, 16%; adjusted P = .03). In contrast, limited evidence was found for microbiome associations with clozapine response, constipation, or metabolic syndrome. Significantly decreased microbial richness was found in individuals with schizophrenia compared to control individuals (t95 = 4.25; P < .001; mean [SD] for control individuals, 151.8 [32.31]; mean [SD] for individuals with schizophrenia, 117.00 [36.2]; 95% CI, 18.6-51.0), which remained significant after a covariate and multiple comparison correction. However, limited evidence was found for differences in β diversity (weighted UniFrac) for schizophrenia diagnosis (permutational multivariate analysis of variance [PERMANOVA]: R2, 0.03; P = .02), treatment resistance (R2, 0.02; P = .18), or clozapine response (R2, 0.04; P = .08). Multiple differentially abundant bacterial species (19) and metabolic pathways (162) were found in individuals with schizophrenia, which were primarily associated with treatment resistance and clozapine exposure. Conclusions and Relevance The findings in this study are consistent with the idea that clozapine induces alterations to gut microbiome composition, although the possibility that preexisting microbiome differences contribute to treatment resistance cannot be ruled out. These findings suggest that prior reports of microbiome alterations in individuals with chronic schizophrenia may be due to medication or lifestyle factors and that future studies should incorporate these variables in their design and interpretation.
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Affiliation(s)
- Svetlina S. Vasileva
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, Wacol, Queensland, Australia
| | - Yuanhao Yang
- Mater Research Institute, University of Queensland, Brisbane, Queensland, Australia
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Andrea Baker
- Queensland Centre for Mental Health Research, Wacol, Queensland, Australia
- Metro South Addiction and Mental Health Service, Metro South Health, Brisbane, Brisbane South, Queensland, Australia
| | - Dan Siskind
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, Wacol, Queensland, Australia
- Metro South Addiction and Mental Health Service, Metro South Health, Brisbane, Brisbane South, Queensland, Australia
- University of Queensland School of Clinical Medicine, Brisbane, Queensland, Australia
| | - Jacob Gratten
- Mater Research Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Darryl Eyles
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, Wacol, Queensland, Australia
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12
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Misiak B, Pawlak E, Rembacz K, Kotas M, Żebrowska-Różańska P, Kujawa D, Łaczmański Ł, Piotrowski P, Bielawski T, Samochowiec J, Samochowiec A, Karpiński P. Associations of gut microbiota alterations with clinical, metabolic, and immune-inflammatory characteristics of chronic schizophrenia. J Psychiatr Res 2024; 171:152-160. [PMID: 38281465 DOI: 10.1016/j.jpsychires.2024.01.036] [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: 09/02/2023] [Revised: 12/31/2023] [Accepted: 01/22/2024] [Indexed: 01/30/2024]
Abstract
The present study had the following aims: 1) to compare gut microbiota composition in patients with schizophrenia and controls and 2) to investigate the association of differentially abundant bacterial taxa with markers of inflammation, intestinal permeability, lipid metabolism, and glucose homeostasis as well as clinical manifestation. A total of 115 patients with schizophrenia during remission of positive and disorganization symptoms, and 119 controls were enrolled. Altogether, 32 peripheral blood markers were assessed. A higher abundance of Eisenbergiella, Family XIII AD3011 group, Eggerthella, Hungatella, Lactobacillus, Olsenella, Coprobacillus, Methanobrevibacter, Ligilactobacillus, Eubacterium fissicatena group, and Clostridium innocuum group in patients with schizophrenia was found. The abundance of Paraprevotella and Bacteroides was decreased in patients with schizophrenia. Differentially abundant genera were associated with altered levels of immune-inflammatory markers, zonulin, lipid profile components, and insulin resistance. Moreover, several correlations of differentially abundant genera with cognitive impairment, higher severity of negative symptoms, and worse social functioning were observed. The association of Methanobrevibacter abundance with the level of negative symptoms, cognition, and social functioning appeared to be mediated by the levels of interleukin-6 and RANTES. In turn, the association of Hungatella with the performance of attention was mediated by the levels of zonulin. The findings indicate that compositional alterations of gut microbiota observed in patients with schizophrenia correspond with clinical manifestation, intestinal permeability, subclinical inflammation, lipid profile alterations, and impaired glucose homeostasis. Subclinical inflammation and impaired gut permeability might mediate the association of gut microbiota alterations with psychopathological symptoms and cognitive impairment.
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Affiliation(s)
- Błażej Misiak
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.
| | - Edyta Pawlak
- Laboratory of Immunopathology, Department of Experimental Therapy, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Krzysztof Rembacz
- Laboratory of Immunopathology, Department of Experimental Therapy, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Marek Kotas
- Laboratory of Immunopathology, Department of Experimental Therapy, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Paulina Żebrowska-Różańska
- Laboratory of Genomics & Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Dorota Kujawa
- Laboratory of Genomics & Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Łukasz Łaczmański
- Laboratory of Genomics & Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Patryk Piotrowski
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | - Tomasz Bielawski
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, Szczecin, Poland
| | - Agnieszka Samochowiec
- Department of Clinical Psychology, Institute of Psychology, University of Szczecin, Poland
| | - Paweł Karpiński
- Laboratory of Genomics & Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland; Department of Genetics, Wroclaw Medical University, Wroclaw, Poland
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13
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Yang P, Huang S, Luo Z, Zhou S, Zhang C, Zhu Y, Yang J, Li L. Radix Bupleuri aqueous extract attenuates MK801-induced schizophrenia-like symptoms in mice: Participation of intestinal flora. Biomed Pharmacother 2024; 172:116267. [PMID: 38364739 DOI: 10.1016/j.biopha.2024.116267] [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: 10/24/2023] [Revised: 02/06/2024] [Accepted: 02/07/2024] [Indexed: 02/18/2024] Open
Abstract
Schizophrenia (SCZ) is a psychotic mental disorder characterized by cognitive, behavioral, and social impairments. However, current pharmacological treatment regimens are subpar in terms of effectiveness. This study aimed to investigate the function of Radix Bupleuri aqueous extract in SCZ in mouse models. The SCZ mouse model was established by MK-801 injection and feeding of Radix Bupleuri aqueous extract or combined antibiotics. Radix Bupleuri aqueous extract significantly improved the aberrant behaviors and neuronal damage in SCZ mice, upregulated SYP and PSD-95 expression and BDNF levels in hippocampal homogenates, down-regulated DA and 5-HT levels, and suppressed microglial activation in SCZ mice. Moreover, Radix Bupleuri aqueous extract improved the integrity of the intestinal tract barrier. The 16 S rRNA sequencing of feces showed that Radix Bupleuri extract modulated the composition of gut flora. Lactobacillus abundance was decreased in SCZ mice and reversed by Radix Bupleuri aqueous extract administration which exhibited a significant negative correlation with IL-6, IL-1β, DA, and 5-HT, and a significant positive correlation with BDNF levels in hippocampal tissues. The abundance of Parabacteroides and Alloprevotella was increased in SCZ mice. It was reversed by Radix Bupleuri aqueous extract administration, which exhibited a positive correlation with IL-6, IL-1β, and 5-HT and a negative correlation with BDNF. In conclusion, Radix Bupleuri aqueous extract attenuates the inflammatory response in hippocampal tissues and modulates neurotransmitter levels, exerting its neuroprotective effect in SCZ. Meanwhile, the alteration of intestinal flora may be involved in this process, which is expected to be an underlying therapeutic option in treating SCZ.
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Affiliation(s)
- Ping Yang
- School of Clinical Medicine, Hunan Brain Hospital, Hunan University of Chinese Medicine, Changsha, Hunan 410208, PR China; Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, PR China
| | - Sheng Huang
- School of Clinical Medicine, Hunan Brain Hospital, Hunan University of Chinese Medicine, Changsha, Hunan 410208, PR China; Jiuzhitang Co., Ltd., Changsha, Hunan 410208, PR China
| | - Zhihong Luo
- School of Clinical Medicine, Hunan Brain Hospital, Hunan University of Chinese Medicine, Changsha, Hunan 410208, PR China
| | - Shaoming Zhou
- School of Clinical Medicine, Hunan Brain Hospital, Hunan University of Chinese Medicine, Changsha, Hunan 410208, PR China
| | - Changjuan Zhang
- School of Clinical Medicine, Hunan Brain Hospital, Hunan University of Chinese Medicine, Changsha, Hunan 410208, PR China
| | - Yong Zhu
- School of Clinical Medicine, Hunan Brain Hospital, Hunan University of Chinese Medicine, Changsha, Hunan 410208, PR China; Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, PR China
| | - Jingjing Yang
- Community Health Service Center of Dongtang Street, Yuhua District, Changsha, Hunan 410004, China
| | - Liang Li
- School of Clinical Medicine, Hunan Brain Hospital, Hunan University of Chinese Medicine, Changsha, Hunan 410208, PR China; Provincial Key Laboratory of TCM Diagnostics, Hunan University of Chinese Medicine, Changsha, Hunan 410208, PR China.
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14
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Stiernborg M, Prast-Nielsen S, Melas PA, Skott M, Millischer V, Boulund F, Forsell Y, Lavebratt C. Differences in the gut microbiome of young adults with schizophrenia spectrum disorder: using machine learning to distinguish cases from controls. Brain Behav Immun 2024; 117:298-309. [PMID: 38280535 DOI: 10.1016/j.bbi.2024.01.218] [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: 09/14/2023] [Revised: 12/27/2023] [Accepted: 01/22/2024] [Indexed: 01/29/2024] Open
Abstract
While an association between the gut microbiome and schizophrenia spectrum disorders (SSD) has been suggested, the existing evidence is still inconclusive. To this end, we analyzed bacteria and bacterial genes in feces from 52 young adult SSD patients and 52 controls using fecal shotgun metagenomic sequencing. Compared to controls, young SSD patients were found to have significantly lower α-diversity and different β-diversity both regarding bacterial species (i.e., taxonomic diversity) and bacterial genes (i.e., functional diversity). Furthermore, the α-diversity measures 'Pielou's evenness' and 'Shannon' were significantly higher for both bacterial species, bacterial genes encoding enzymes and gut brain modules in young SSD patients on antipsychotic treatment (young SSD not on antipsychotics=9 patients, young SSD on antipsychotics=43 patients). We also applied machine learning classifiers to distinguish between young SSD patients and healthy controls based on their gut microbiome. Results showed that taxonomic and functional data classified young SSD individuals with an accuracy of ≥ 70% and with an area under the receiver operating characteristic curve (AUROC) of ≥ 0.75. Differential abundance analysis on the most important features in the classifier models revealed that most of the species with higher abundance in young SSD patients had their natural habitat in the oral cavity. In addition, many of the modules with higher abundance in young SSD patients were amino acid biosynthesis modules. Moreover, the abundances of gut-brain modules of butyrate synthesis and acetate degradation were lower in the SSD patients compared to controls. Collectively, our findings continue to support the presence of gut microbiome alterations in SSD and provide support for the use of machine learning algorithms to distinguish patients from controls based on gut microbiome profiles.
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Affiliation(s)
- Miranda Stiernborg
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Stefanie Prast-Nielsen
- Centre for Translational Microbiome Research (CTMR), Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Philippe A Melas
- Center for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
| | - Maria Skott
- Center for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
| | - Vincent Millischer
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Fredrik Boulund
- Centre for Translational Microbiome Research (CTMR), Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Yvonne Forsell
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Catharina Lavebratt
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital Solna, Stockholm, Sweden.
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15
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Jin DM, Morton JT, Bonneau R. Meta-analysis of the human gut microbiome uncovers shared and distinct microbial signatures between diseases. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.27.582333. [PMID: 38464323 PMCID: PMC10925178 DOI: 10.1101/2024.02.27.582333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Microbiome studies have revealed gut microbiota's potential impact on complex diseases. However, many studies often focus on one disease per cohort. We developed a meta-analysis workflow for gut microbiome profiles and analyzed shotgun metagenomic data covering 11 diseases. Using interpretable machine learning and differential abundance analysis, our findings reinforce the generalization of binary classifiers for Crohn's disease (CD) and colorectal cancer (CRC) to hold-out cohorts and highlight the key microbes driving these classifications. We identified high microbial similarity in disease pairs like CD vs ulcerative colitis (UC), CD vs CRC, Parkinson's disease vs type 2 diabetes (T2D), and schizophrenia vs T2D. We also found strong inverse correlations in Alzheimer's disease vs CD and UC. These findings detected by our pipeline provide valuable insights into these diseases.
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Affiliation(s)
- Dong-Min Jin
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | - James T. Morton
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Richard Bonneau
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
- Genentech, New York, NY, USA
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16
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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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Sen P, Prandovszky E, Honkanen JK, Chen O, Yolken R, Suvisaari J. Dysregulation of Microbiota in Patients With First-Episode Psychosis Is Associated With Symptom Severity and Treatment Response. Biol Psychiatry 2024; 95:370-379. [PMID: 38061464 DOI: 10.1016/j.biopsych.2023.10.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/21/2023] [Accepted: 10/23/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND The gut microbiome has been implicated in the pathogenesis of mental disorders where the gut-brain axis acts as a bidirectional communication network. METHODS Herein, we investigated the compositional and functional differences of gut microbiome between patients with first-episode psychosis (FEP) (n = 26) and healthy control participants (n = 22) using whole-genome shotgun sequencing. In addition, we assessed the oral microbiome in patients with FEP (n = 13) and listed their taxonomic diversity. RESULTS Our findings suggest that there is a dysbiosis of gut microbiota in patients with FEP. Relative abundance of Bifidobacterium adolescentis, Prevotella copri, and Turicibacter sanguinis was markedly increased (linear discriminant analysis scores [log10] > 1, and Mann-Whitney U test; false discovery rate-adjusted p values < .05) in the FEP group compared with the healthy control participants. Pathway analysis indicated that several metabolic pathways, particularly deoxyribonucleotide biosynthesis, branched-chain amino acid biosynthesis, tricarboxylic acid cycle, and fatty acid elongation and biosynthesis, were dysregulated in the FEP group compared with the healthy control group. In addition, this preliminary study was able to identify specific gut microbes (at baseline) that were predictive of weight gain in the FEP group at a 1-year follow-up. Bacteroides dorei, Bifidobacterium adolescentis, Turicibacter sanguinis, Roseburia spp., and Ruminococcus lactaris were positively associated (eXtreme gradient boosting, XGBoost regression model, Shapley additive explanations, R2 = 0.82) with weight gain. CONCLUSIONS Our findings may suggest the involvement of gut microbiota in the pathogenesis of psychosis. The benefit of modulation of the gut microbiome in the treatment of psychotic disorders should be explored further.
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Affiliation(s)
- Partho Sen
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Emese Prandovszky
- Stanley Division of Developmental Neurovirology, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Jarno K Honkanen
- Translational Immunology Program, Research Programs Unit, University of Helsinki, Helsinki, Finland
| | - Ou Chen
- Stanley Division of Developmental Neurovirology, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Robert Yolken
- Stanley Division of Developmental Neurovirology, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Jaana Suvisaari
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland; Finnish Institute for Health and Welfare, Helsinki, Finland.
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Yue M, Zhang L. Exploring the Mechanistic Interplay between Gut Microbiota and Precocious Puberty: A Narrative Review. Microorganisms 2024; 12:323. [PMID: 38399733 PMCID: PMC10892899 DOI: 10.3390/microorganisms12020323] [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: 01/02/2024] [Revised: 01/26/2024] [Accepted: 01/29/2024] [Indexed: 02/25/2024] Open
Abstract
The gut microbiota has been implicated in the context of sexual maturation during puberty, with discernible differences in its composition before and after this critical developmental stage. Notably, there has been a global rise in the prevalence of precocious puberty in recent years, particularly among girls, where approximately 90% of central precocious puberty cases lack a clearly identifiable cause. While a link between precocious puberty and the gut microbiota has been observed, the precise causality and underlying mechanisms remain elusive. This narrative review aims to systematically elucidate the potential mechanisms that underlie the intricate relationship between the gut microbiota and precocious puberty. Potential avenues of exploration include investigating the impact of the gut microbiota on endocrine function, particularly in the regulation of hormones, such as gonadotropin-releasing hormone (GnRH), luteinizing hormone (LH), and follicle-stimulating hormone (FSH). Additionally, this review will delve into the intricate interplay between the gut microbiome, metabolism, and obesity, considering the known association between obesity and precocious puberty. This review will also explore how the microbiome's involvement in nutrient metabolism could impact precocious puberty. Finally, attention is given to the microbiota's ability to produce neurotransmitters and neuroactive compounds, potentially influencing the central nervous system components involved in regulating puberty. By exploring these mechanisms, this narrative review seeks to identify unexplored targets and emerging directions in understanding the role of the gut microbiome in relation to precocious puberty. The ultimate goal is to provide valuable insights for the development of non-invasive diagnostic methods and innovative therapeutic strategies for precocious puberty in the future, such as specific probiotic therapy.
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Affiliation(s)
- Min Yue
- Microbiome-X, National Institute of Health Data Science of China & Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Lei Zhang
- Microbiome-X, National Institute of Health Data Science of China & Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
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19
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Zhang L, Yuan X, Li X, Zhang X, Mao Y, Hu S, Andreassen OA, Wang Y, Song X. Gut microbial diversity moderates polygenic risk of schizophrenia. Front Psychiatry 2024; 15:1275719. [PMID: 38362027 PMCID: PMC10868137 DOI: 10.3389/fpsyt.2024.1275719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/04/2024] [Indexed: 02/17/2024] Open
Abstract
Background Schizophrenia (SCZ) is a heritable disorder with a polygenic architecture, and the gut microbiota seems to be involved in its development and outcome. In this study, we investigate the interplay between genetic risk and gut microbial markers. Methods We included 159 first-episode, drug-naïve SCZ patients and 86 healthy controls. The microbial composition of feces was characterized using the 16S rRNA sequencing platform, and five microbial α-diversity indices were estimated [Shannon, Simpson, Chao1, the Abundance-based Eoverage Estimator (ACE), and a phylogenetic diversity-based estimate (PD)]. Polygenic risk scores (PRS) for SCZ were constructed using data from large-scale genome-wide association studies. Effects of microbial α-diversity, microbial abundance, and PRS on SCZ were evaluated via generalized linear models. Results We confirmed that PRS was associated with SCZ (OR = 2.08, p = 1.22×10-5) and that scores on the Shannon (OR = 0.29, p = 1.15×10-8) and Simpson (OR = 0.29, p = 1.25×10-8) indices were inversely associated with SCZ risk. We found significant interactions (p < 0.05) between PRS and α-diversity indices (Shannon, Simpson, and PD), with the effects of PRS being larger in those exhibiting higher diversity compared to those with lower diversity. Moreover, the PRS effects were larger in individuals with a high abundance of the genera Romboutsia, Streptococcus, and Anaerostipes than in those with low abundance (p < 0.05). All three of these genera showed protective effects against SCZ. Conclusion The current findings suggest an interplay between the gut microbiota and polygenic risk of SCZ that warrants replication in independent samples. Experimental studies are needed to determine the underpinning mechanisms.
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Affiliation(s)
- Liyuan Zhang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Xiuxia Yuan
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Xue Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Xiaoyun Zhang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Yiqiao Mao
- School of Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Yunpeng Wang
- Centre for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Xueqin Song
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
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20
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Gupta S, Dinesh S, Sharma S. Bridging the Mind and Gut: Uncovering the Intricacies of Neurotransmitters, Neuropeptides, and their Influence on Neuropsychiatric Disorders. Cent Nerv Syst Agents Med Chem 2024; 24:2-21. [PMID: 38265387 DOI: 10.2174/0118715249271548231115071021] [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: 07/11/2023] [Revised: 08/31/2023] [Accepted: 10/04/2023] [Indexed: 01/25/2024]
Abstract
BACKGROUND The gut-brain axis (GBA) is a bidirectional signaling channel that facilitates communication between the gastrointestinal tract and the brain. Recent research on the gut-brain axis demonstrates that this connection enables the brain to influence gut function, which in turn influences the brain and its cognitive functioning. It is well established that malfunctioning of this axis adversely affects both systems' ability to operate effectively. OBJECTIVE Dysfunctions in the GBA have been associated with disorders of gut motility and permeability, intestinal inflammation, indigestion, constipation, diarrhea, IBS, and IBD, as well as neuropsychiatric and neurodegenerative disorders like depression, anxiety, schizophrenia, autism, Alzheimer's, and Parkinson's disease. Multiple research initiatives have shown that the gut microbiota, in particular, plays a crucial role in the GBA by participating in the regulation of a number of key neurochemicals that are known to have significant effects on the mental and physical well-being of an individual. METHODS Several studies have investigated the relationship between neuropsychiatric disorders and imbalances or disturbances in the metabolism of neurochemicals, often leading to concomitant gastrointestinal issues and modifications in gut flora composition. The interaction between neurological diseases and gut microbiota has been a focal point within this research. The novel therapeutic interventions in neuropsychiatric conditions involving interventions such as probiotics, prebiotics, and dietary modifications are outlined in this review. RESULTS The findings of multiple studies carried out on mice show that modulating and monitoring gut microbiota can help treat symptoms of such diseases, which raises the possibility of the use of probiotics, prebiotics, and even dietary changes as part of a new treatment strategy for neuropsychiatric disorders and their symptoms. CONCLUSION The bidirectional communication between the gut and the brain through the gut-brain axis has revealed profound implications for both gastrointestinal and neurological health. Malfunctions in this axis have been connected to a range of disorders affecting gut function as well as cognitive and neuropsychiatric well-being. The emerging understanding of the role of gut microbiota in regulating key neurochemicals opens up possibilities for novel treatment approaches for conditions like depression, anxiety, and neurodegenerative diseases.
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Affiliation(s)
- Saumya Gupta
- Department of Bioinformatics, BioNome, Bengaluru, India
| | - Susha Dinesh
- Department of Bioinformatics, BioNome, Bengaluru, India
| | - Sameer Sharma
- Department of Bioinformatics, BioNome, Bengaluru, India
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21
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Lin D, Fu Z, Liu J, Perrone-Bizzozero N, Hutchison KE, Bustillo J, Du Y, Pearlson G, Calhoun VD. Association between the oral microbiome and brain resting state connectivity in schizophrenia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.22.573165. [PMID: 38234846 PMCID: PMC10793457 DOI: 10.1101/2023.12.22.573165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Recent microbiome-brain axis findings have shown evidence of the modulation of microbiome community as an environmental mediator in brain function and psychiatric illness. This work is focused on the role of the microbiome in understanding a rarely investigated environmental involvement in schizophrenia (SZ), especially in relation to brain circuit dysfunction. We leveraged high throughput microbial 16s rRNA sequencing and functional neuroimaging techniques to enable the delineation of microbiome-brain network links in SZ. N=213 SZ and healthy control (HC) subjects were assessed for the oral microbiome. Among them, 139 subjects were scanned by resting-state functional magnetic resonance imaging (rsfMRI) to derive brain functional connectivity. We found a significant microbiome compositional shift in SZ beta diversity (weighted UniFrac distance, p= 6×10 -3 ; Bray-Curtis distance p = 0.021). Fourteen microbial species involving pro-inflammatory and neurotransmitter signaling and H 2 S production, showed significant abundance alterations in SZ. Multivariate analysis revealed one pair of microbial and functional connectivity components showing a significant correlation of 0.46. Thirty five percent of microbial species and 87.8% of brain functional network connectivity from each component also showed significant differences between SZ and HC with strong performance in classifying SZ from HC, with an area under curve (AUC) = 0.84 and 0.87, respectively. The results suggest a potential link between oral microbiome dysbiosis and brain functional connectivity alteration in relation to SZ, possibly through immunological and neurotransmitter signaling pathways and the hypothalamic-pituitary-adrenal axis, supporting for future work in characterizing the role of oral microbiome in mediating effects on SZ brain functional activity.
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22
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Ling Z, Cheng Y, Liu X, Yan X, Wu L, Shao L, Gao J, Lei W, Song Q, Zhao L, Jin G. Altered oral microbiota and immune dysfunction in Chinese elderly patients with schizophrenia: a cross-sectional study. Transl Psychiatry 2023; 13:383. [PMID: 38071192 PMCID: PMC10710460 DOI: 10.1038/s41398-023-02682-1] [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: 07/17/2023] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
Schizophrenia (SZ) is a complex psychiatric neurodevelopmental disorder with uncertain etiology and pathogenesis. Increasing evidence has recognized the key role of the gut microbiota in SZ. However, few studies have investigated the potential link between oral microbiota and SZ. We studied the tongue coating microbiota and inflammatory profiles of 118 elderly SZ patients and 97 age-matched healthy controls using Illumina MiSeq sequencing and multiplex immunoassays, respectively. Reduced α-diversity, along with a significant difference in β-diversity, were observed in patients with SZ. We have identified SZ-associated oral dysbiosis, characterized by increased Streptococcus and Fusobacterium, as well as decreased Prevotella and Veillonella. These differential genera could potentially serve as biomarkers for SZ, either alone or in combination. Additionally, an elevated Streptococcus/Prevotella ratio could indicate oral dysbiosis. These differential genera formed two distinct clusters: Streptococcus-dominated and Prevotella-dominated, which exhibited different correlations with the altered immunological profiles. Furthermore, we also observed disruptions in the inferred microbiota functions in SZ-associated microbiota, particularly in lipid and amino acid metabolism. Our study provides novel insights into the characteristics of tongue coating microbiota and its associations with immunological disturbances in elderly SZ patients, which offer new targets for the diagnosis and treatment of SZ in the elderly.
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Affiliation(s)
- Zongxin Ling
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 310003, Hangzhou, Zhejiang, China.
- Jinan Microecological Biomedicine Shandong Laboratory, 250000, Jinan, Shandong, China.
| | - Yiwen Cheng
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 310003, Hangzhou, Zhejiang, China
- Jinan Microecological Biomedicine Shandong Laboratory, 250000, Jinan, Shandong, China
| | - Xia Liu
- Department of Intensive Care Unit, the First Affiliated Hospital, School of Medicine, Zhejiang University, 310003, Hangzhou, Zhejiang, China
| | - Xiumei Yan
- Department of Laboratory Medicine, Lishui Second People's Hospital, 323000, Lishui, Zhejiang, China
| | - Lingbin Wu
- Department of Laboratory Medicine, Lishui Second People's Hospital, 323000, Lishui, Zhejiang, China
| | - Li Shao
- School of Clinical Medicine, Institute of Hepatology and Metabolic Diseases, Hangzhou Normal University, The Affiliated Hospital of Hangzhou Normal University, 310015, Hangzhou, Zhejiang, China
| | - Jie Gao
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 310003, Hangzhou, Zhejiang, China
| | - Wenhui Lei
- Jinan Microecological Biomedicine Shandong Laboratory, 250000, Jinan, Shandong, China
- School of Basic Medicine, Shandong First Medical University, 250000, Jinan, Shandong, China
| | - Qinghai Song
- Department of Psychiatry, Lishui Second People's Hospital, 323000, Lishui, Zhejiang, China
| | - Longyou Zhao
- Department of Laboratory Medicine, Lishui Second People's Hospital, 323000, Lishui, Zhejiang, China.
| | - Guolin Jin
- Department of Psychiatry, Lishui Second People's Hospital, 323000, Lishui, Zhejiang, China.
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23
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Liang Y, Dou S, Zhao G, Shen J, Fu G, Fu L, Li S, Cong B, Dong C. Prediction of BMI traits in the Chinese population based on the gut metagenome. Microb Cell Fact 2023; 22:250. [PMID: 38066544 PMCID: PMC10704812 DOI: 10.1186/s12934-023-02255-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Identifying individual characteristics based on trace evidence left at a crime scene is crucial in forensic identification. Microbial communities found in fecal traces have high individual specificity and could serve as potential markers for forensic characterization. Previous research has established that predicting body type based on the relative abundance of the gut microbiome is relatively accurate. However, the long-term stability and high individual specificity of the gut microbiome are closely linked to changes at the genome level of the microbiome. No studies have been conducted to deduce body shape from genetic traits. Therefore, in this study, the vital role of gut bacterial community characteristics and genetic traits in predicting body mass index (BMI) was investigated using gut metagenomic data from a healthy Chinese population. RESULTS Regarding the gut microbial community, the underweight group displayed increased α-diversity in comparison to the other BMI groups. There were significant differences in the relative abundances of 19 species among these three BMI groups. The BMI prediction model, based on the 31 most significant species, showed a goodness of fit (R2) of 0.56 and a mean absolute error (MAE) of 2.09 kg/m2. The overweight group exhibited significantly higher α-diversity than the other BMI groups at the level of gut microbial genes. Furthermore, there were significant variations observed in the single-nucleotide polymorphism (SNP) density of 732 contigs between these three BMI groups. The BMI prediction model, reliant on the 62 most contributing contigs, exhibited a model R2 of 0.72 and an MAE of 1.56 kg/m2. The model predicting body type from 44 contigs correctly identified the body type of 93.55% of the study participants. CONCLUSION Based on metagenomic data from a healthy Chinese population, we demonstrated the potential of genetic traits of gut bacteria to predict an individual's BMI. The findings of this study suggest the effectiveness of a novel method for determining the body type of suspects in forensic applications using the genetic traits of the gut microbiome and holds great promise for forensic individual identification.
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Affiliation(s)
- Yu Liang
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Shujie Dou
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Guangzhong Zhao
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Jie Shen
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Guangping Fu
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Lihong Fu
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Shujin Li
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Bin Cong
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Chunnan Dong
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, Hebei, China.
- Department of Pathogen Biology, Hebei Medical University, Shijiazhuang, 050017, Hebei, China.
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24
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Lagoumintzis G, Patrinos GP. Triangulating nutrigenomics, metabolomics and microbiomics toward personalized nutrition and healthy living. Hum Genomics 2023; 17:109. [PMID: 38062537 PMCID: PMC10704648 DOI: 10.1186/s40246-023-00561-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 12/02/2023] [Indexed: 12/18/2023] Open
Abstract
The unique physiological and genetic characteristics of individuals influence their reactions to different dietary constituents and nutrients. This notion is the foundation of personalized nutrition. The field of nutrigenetics has witnessed significant progress in understanding the impact of genetic variants on macronutrient and micronutrient levels and the individual's responsiveness to dietary intake. These variants hold significant value in facilitating the development of personalized nutritional interventions, thereby enabling the effective translation from conventional dietary guidelines to genome-guided nutrition. Nevertheless, certain obstacles could impede the extensive implementation of individualized nutrition, which is still in its infancy, such as the polygenic nature of nutrition-related pathologies. Consequently, many disorders are susceptible to the collective influence of multiple genes and environmental interplay, wherein each gene exerts a moderate to modest effect. Furthermore, it is widely accepted that diseases emerge because of the intricate interplay between genetic predisposition and external environmental influences. In the context of this specific paradigm, the utilization of advanced "omic" technologies, including epigenomics, transcriptomics, proteomics, metabolomics, and microbiome analysis, in conjunction with comprehensive phenotyping, has the potential to unveil hitherto undisclosed hereditary elements and interactions between genes and the environment. This review aims to provide up-to-date information regarding the fundamentals of personalized nutrition, specifically emphasizing the complex triangulation interplay among microbiota, dietary metabolites, and genes. Furthermore, it highlights the intestinal microbiota's unique makeup, its influence on nutrigenomics, and the tailoring of dietary suggestions. Finally, this article provides an overview of genotyping versus microbiomics, focusing on investigating the potential applications of this knowledge in the context of tailored dietary plans that aim to improve human well-being and overall health.
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Affiliation(s)
- George Lagoumintzis
- Division of Pharmacology and Biosciences, Department of Pharmacy, School of Health Sciences, University of Patras, 26504, Patras, Greece.
| | - George P Patrinos
- Division of Pharmacology and Biosciences, Department of Pharmacy, School of Health Sciences, University of Patras, 26504, Patras, Greece.
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, Abu Dhabi, UAE.
- Zayed Center for Health Sciences, United Arab Emirates University, Al-Ain, Abu Dhabi, UAE.
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25
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Shi L, Ju P, Meng X, Wang Z, Yao L, Zheng M, Cheng X, Li J, Yu T, Xia Q, Yan J, Zhu C, Zhang X. Intricate role of intestinal microbe and metabolite in schizophrenia. BMC Psychiatry 2023; 23:856. [PMID: 37978477 PMCID: PMC10657011 DOI: 10.1186/s12888-023-05329-z] [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: 12/26/2022] [Accepted: 10/30/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND The brain-gut axis has gained increasing attention due to its contribution to the etiology of various central nervous system disorders. This study aims to elucidate the hypothesis that schizophrenia is associated with disturbances in intestinal microflora and imbalance in intestinal metabolites. By exploring the intricate relationship between the gut and the brain, with the goal of offering fresh perspectives and valuable insights into the potential contribution of intestinal microbial and metabolites dysbiosis to the etiology of schizophrenia. METHODS In this study, we used a 16S ribosomal RNA (16S rRNA) gene sequence-based approach and an untargeted liquid chromatography-mass spectrometry-based metabolic profiling approach to measure the gut microbiome and microbial metabolites from 44 healthy controls, 41 acute patients, and 39 remission patients, to evaluate whether microbial dysbiosis and microbial metabolite biomarkers were linked with the severity of schizophrenic symptoms. RESULTS Here, we identified 20 dominant disturbances in the gut microbial composition of patients compared with healthy controls, with 3 orders, 4 families, 9 genera, and 4 species. Several unique bacterial taxa associated with schizophrenia severity. Compared with healthy controls, 145 unusual microflora metabolites were detected in the acute and remission groups, which were mainly involved in environmental information processing, metabolism, organismal systems, and human diseases in the Kyoto encyclopedia of genes and genomes pathway. The Sankey diagram showed that 4 abnormal intestinal and 4 anomalous intestinal microbial metabolites were associated with psychiatric clinical symptoms. CONCLUSIONS These findings suggest a possible interactive influence of the gut microbiota and their metabolites on the pathophysiology of schizophrenia.
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Affiliation(s)
- Li Shi
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Peijun Ju
- Shanghai Mental Health Center, Shanghai key Laboratory of Psychotic Disorders, Shanghai Jiao Tong University School of Medicine, Shanghai, 201108, China
| | - Xiaojing Meng
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | | | - Lihui Yao
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Mingming Zheng
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Xialong Cheng
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Jingwei Li
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Tao Yu
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Qingrong Xia
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Junwei Yan
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China
- Anhui Mental Health Center, Hefei, 230000, China
| | - Cuizhen Zhu
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China.
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China.
- Anhui Mental Health Center, Hefei, 230000, China.
| | - Xulai Zhang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China.
- Anhui Clinical Center for mental and psychological diseases, Hefei Fourth People's Hospital, 316 Mei shan Road, Hefei, Anhui, 230000, China.
- Anhui Mental Health Center, Hefei, 230000, China.
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Li R, Fu R, Cui ZQ, Guo L, Chen YH, Bai J, Yang JB, Tan QR, Peng ZW. Effects of low-frequency rTMS combined with risperidone on the gut microbiome in hospitalized patients with chronic schizophrenia. Brain Res 2023; 1819:148539. [PMID: 37598899 DOI: 10.1016/j.brainres.2023.148539] [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: 06/22/2023] [Revised: 07/23/2023] [Accepted: 08/17/2023] [Indexed: 08/22/2023]
Abstract
Repetitive transcranial magnetic stimulation (rTMS) has been widely used in treating schizophrenia (SCH). However, the effects of the low frequency of rTMS combined with antipsychotics on the gut microbiome in chronic SCH have been poorly investigated. In the present study, psychiatric symptoms were assessed and the stool samples obtained from 33 adult patients with chronic SCH (at baselinephase), 27 after 2 weeks of treatment (rTMS combined with risperidone, SCH-2W), and 37 healthy controls (HC) were analyzed by 16S rRNA gene sequencing. We found that the reduction of phylum Proteobacteria, family Enterobacteriaceae and genera Escherichia-Shigella as well as the increase of genera norank_f_Lachnospiraceae might be related to the antipsychotic effect of rTMS combined with risperidone. These findings indicate that the brain-gut-microbiota axis might be involved in the therapeutic effect of rTMS combined with antipsychotic drugs.
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Affiliation(s)
- Rui Li
- Department of Psychiatry, Chang'an Hospital, Xi'an 710000, China
| | - Rui Fu
- Department of Psychiatry, Chang'an Hospital, Xi'an 710000, China
| | - Zhi-Quan Cui
- Department of Psychiatry, Chang'an Hospital, Xi'an 710000, China
| | - Lin Guo
- Department of Psychiatry, Chang'an Hospital, Xi'an 710000, China
| | - Yi-Huan Chen
- Department of Psychiatry, Xijing Hospital, Air Force Medical University, Xi'an 710032, China
| | - Jie Bai
- Department of Psychiatry, Gaoxin Hospital, Xi'an 710077, China
| | - Jia-Bin Yang
- Department of Psychiatry, Chang'an Hospital, Xi'an 710000, China
| | - Qing-Rong Tan
- Department of Psychiatry, Chang'an Hospital, Xi'an 710000, China.
| | - Zheng-Wu Peng
- Department of Psychiatry, Chang'an Hospital, Xi'an 710000, China; Department of Psychiatry, Xijing Hospital, Air Force Medical University, Xi'an 710032, China.
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27
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Tan SMX, Yee JY, Budhraja S, Singh B, Doborjeh Z, Doborjeh M, Kasabov N, Lai E, Sumich A, Lee J, Goh WWB. RNA-sequencing of peripheral whole blood of individuals at ultra-high-risk for psychosis - A longitudinal perspective. Asian J Psychiatr 2023; 89:103796. [PMID: 37837946 DOI: 10.1016/j.ajp.2023.103796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/31/2023] [Accepted: 09/30/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND The peripheral blood is an attractive source of prognostic biomarkers for psychosis conversion. There is limited research on the transcriptomic changes associated with psychosis conversion in the peripheral whole blood. STUDY DESIGN We performed RNA-sequencing of peripheral whole blood from 65 ultra-high-risk (UHR) participants and 70 healthy control participants recruited in the Longitudinal Youth-at-Risk Study (LYRIKS) cohort. 13 UHR participants converted in the study duration. Samples were collected at 3 timepoints, at 12-months interval across a 2-year period. We examined whether the genes differential with psychosis conversion contain schizophrenia risk loci. We then examined the functional ontologies and GWAS associations of the differential genes. We also identified the overlap between differentially expressed genes across different comparisons. STUDY RESULTS Genes containing schizophrenia risk loci were not differentially expressed in the peripheral whole blood in psychosis conversion. The differentially expressed genes in psychosis conversion are enriched for ontologies associated with cellular replication. The differentially expressed genes in psychosis conversion are associated with non-neurological GWAS phenotypes reported to be perturbed in schizophrenia and psychosis but not schizophrenia and psychosis phenotypes themselves. We found minimal overlap between the genes differential with psychosis conversion and the genes that are differential between pre-conversion and non-conversion samples. CONCLUSION The associations between psychosis conversion and peripheral blood-based biomarkers are likely to be indirect. Further studies to elucidate the mechanism behind potential indirect associations are needed.
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Affiliation(s)
- Samuel Ming Xuan Tan
- School of Biological Sciences, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Center for Biomedical Informatics, Nanyang Technological University, Singapore
| | - Jie Yin Yee
- Research Division, Institute of Mental Health, Singapore
| | - Sugam Budhraja
- Knowledge Engineering and Discovery Research Innovation, School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, New Zealand
| | - Balkaran Singh
- Knowledge Engineering and Discovery Research Innovation, School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, New Zealand
| | - Zohreh Doborjeh
- School of Population Health, The University of Auckland, New Zealand
| | - Maryam Doborjeh
- Knowledge Engineering and Discovery Research Innovation, School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, New Zealand
| | - Nikola Kasabov
- Knowledge Engineering and Discovery Research Innovation, School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, New Zealand
| | - Edmund Lai
- Knowledge Engineering and Discovery Research Innovation, School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, New Zealand
| | | | - Jimmy Lee
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Research Division, Institute of Mental Health, Singapore
| | - Wilson Wen Bin Goh
- School of Biological Sciences, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Center for Biomedical Informatics, Nanyang Technological University, Singapore.
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28
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Schellekens H, Ribeiro G, Cuesta-Marti C, Cryan JF. The microbiome-gut-brain axis in nutritional neuroscience. Nutr Neurosci 2023; 26:1159-1171. [PMID: 36222323 DOI: 10.1080/1028415x.2022.2128007] [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: 12/02/2022]
Abstract
Emerging evidence is highlighting the microbiome as a key regulator of the effect of nutrition on gut-brain axis signaling. Nevertheless, it is not yet clear whether the impact of nutrition is moderating the microbiota-gut-brain interaction or if diet has a mediating role on microbiota composition and function to influence central nervous system function, brain phenotypes and behavior. Mechanistic evidence from cell-based in vitro studies, animal models and preclinical intervention studies are linking the gut microbiota to the effects of diet on brain function, but they have had limited translation to human intervention studies. While increasing evidence demonstrates the triangulating relationship between diet, microbiota, and brain function across the lifespan, future mechanistic and translational studies in the field of microbiota and nutritional neuroscience are warranted to inform potential strategies for prevention and management of several neurological, neurodevelopmental, neurodegenerative, and psychiatric disorders. This brief primer provides an overview of the most recent advances in the nutritional neuroscience - microbiome field, highlighting significant opportunities for future research.
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Affiliation(s)
- Harriët Schellekens
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
| | | | - Cristina Cuesta-Marti
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
| | - John F Cryan
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
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29
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Blanco-Míguez A, Beghini F, Cumbo F, McIver LJ, Thompson KN, Zolfo M, Manghi P, Dubois L, Huang KD, Thomas AM, Nickols WA, Piccinno G, Piperni E, Punčochář M, Valles-Colomer M, Tett A, Giordano F, Davies R, Wolf J, Berry SE, Spector TD, Franzosa EA, Pasolli E, Asnicar F, Huttenhower C, Segata N. Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4. Nat Biotechnol 2023; 41:1633-1644. [PMID: 36823356 PMCID: PMC10635831 DOI: 10.1038/s41587-023-01688-w] [Citation(s) in RCA: 141] [Impact Index Per Article: 141.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 01/20/2023] [Indexed: 02/25/2023]
Abstract
Metagenomic assembly enables new organism discovery from microbial communities, but it can only capture few abundant organisms from most metagenomes. Here we present MetaPhlAn 4, which integrates information from metagenome assemblies and microbial isolate genomes for more comprehensive metagenomic taxonomic profiling. From a curated collection of 1.01 M prokaryotic reference and metagenome-assembled genomes, we define unique marker genes for 26,970 species-level genome bins, 4,992 of them taxonomically unidentified at the species level. MetaPhlAn 4 explains ~20% more reads in most international human gut microbiomes and >40% in less-characterized environments such as the rumen microbiome and proves more accurate than available alternatives on synthetic evaluations while also reliably quantifying organisms with no cultured isolates. Application of the method to >24,500 metagenomes highlights previously undetected species to be strong biomarkers for host conditions and lifestyles in human and mouse microbiomes and shows that even previously uncharacterized species can be genetically profiled at the resolution of single microbial strains.
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Affiliation(s)
| | | | - Fabio Cumbo
- Department CIBIO, University of Trento, Trento, Italy
| | - Lauren J McIver
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kelsey N Thompson
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Moreno Zolfo
- Department CIBIO, University of Trento, Trento, Italy
| | - Paolo Manghi
- Department CIBIO, University of Trento, Trento, Italy
| | | | - Kun D Huang
- Department CIBIO, University of Trento, Trento, Italy
| | | | - William A Nickols
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Elisa Piperni
- Department CIBIO, University of Trento, Trento, Italy
- IEO, European Institute of Oncology IRCCS, Milan, Italy
| | | | | | - Adrian Tett
- Department CIBIO, University of Trento, Trento, Italy
- Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
| | | | | | | | - Sarah E Berry
- Department of Nutritional Sciences, King's College London, London, UK
| | - Tim D Spector
- Department of Twin Research, King's College London, London, UK
| | - Eric A Franzosa
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Edoardo Pasolli
- Department of Agricultural Sciences, University of Naples, Naples, Italy
| | | | - Curtis Huttenhower
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nicola Segata
- Department CIBIO, University of Trento, Trento, Italy.
- IEO, European Institute of Oncology IRCCS, Milan, Italy.
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30
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Ju S, Shin Y, Han S, Kwon J, Choi TG, Kang I, Kim SS. The Gut-Brain Axis in Schizophrenia: The Implications of the Gut Microbiome and SCFA Production. Nutrients 2023; 15:4391. [PMID: 37892465 PMCID: PMC10610543 DOI: 10.3390/nu15204391] [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] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/10/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
Schizophrenia, a severe mental illness affecting about 1% of the population, manifests during young adulthood, leading to abnormal mental function and behavior. Its multifactorial etiology involves genetic factors, experiences of adversity, infection, and gene-environment interactions. Emerging research indicates that maternal infection or stress during pregnancy may also increase schizophrenia risk in offspring. Recent research on the gut-brain axis highlights the gut microbiome's potential influence on central nervous system (CNS) function and mental health, including schizophrenia. The gut microbiota, located in the digestive system, has a significant role to play in human physiology, affecting immune system development, vitamin synthesis, and protection against pathogenic bacteria. Disruptions to the gut microbiota, caused by diet, medication use, environmental pollutants, and stress, may lead to imbalances with far-reaching effects on CNS function and mental health. Of interest are short-chain fatty acids (SCFAs), metabolic byproducts produced by gut microbes during fermentation. SCFAs can cross the blood-brain barrier, influencing CNS activity, including microglia and cytokine modulation. The dysregulation of neurotransmitters produced by gut microbes may contribute to CNS disorders, including schizophrenia. This review explores the potential relationship between SCFAs, the gut microbiome, and schizophrenia. Our aim is to deepen the understanding of the gut-brain axis in schizophrenia and to elucidate its implications for future research and therapeutic approaches.
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Affiliation(s)
- Songhyun Ju
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea; (S.J.); (Y.S.); (S.H.); (J.K.)
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea;
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Yoonhwa Shin
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea; (S.J.); (Y.S.); (S.H.); (J.K.)
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea;
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Sunhee Han
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea; (S.J.); (Y.S.); (S.H.); (J.K.)
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea;
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Juhui Kwon
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea; (S.J.); (Y.S.); (S.H.); (J.K.)
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea;
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Tae Gyu Choi
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea;
| | - Insug Kang
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea; (S.J.); (Y.S.); (S.H.); (J.K.)
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea;
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Sung Soo Kim
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea; (S.J.); (Y.S.); (S.H.); (J.K.)
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea;
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
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31
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Avila Santos AP, Kabiru Nata'ala M, Kasmanas JC, Bartholomäus A, Keller-Costa T, Jurburg SD, Tal T, Camarinha-Silva A, Saraiva JP, Ponce de Leon Ferreira de Carvalho AC, Stadler PF, Sipoli Sanches D, Rocha U. The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes. Anim Microbiome 2023; 5:48. [PMID: 37798675 PMCID: PMC10552293 DOI: 10.1186/s42523-023-00267-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 09/18/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Metagenomic data can shed light on animal-microbiome relationships and the functional potential of these communities. Over the past years, the generation of metagenomics data has increased exponentially, and so has the availability and reusability of data present in public repositories. However, identifying which datasets and associated metadata are available is not straightforward. We created the Animal-Associated Metagenome Metadata Database (AnimalAssociatedMetagenomeDB - AAMDB) to facilitate the identification and reuse of publicly available non-human, animal-associated metagenomic data, and metadata. Further, we used the AAMDB to (i) annotate common and scientific names of the species; (ii) determine the fraction of vertebrates and invertebrates; (iii) study their biogeography; and (iv) specify whether the animals were wild, pets, livestock or used for medical research. RESULTS We manually selected metagenomes associated with non-human animals from SRA and MG-RAST. Next, we standardized and curated 51 metadata attributes (e.g., host, compartment, geographic coordinates, and country). The AAMDB version 1.0 contains 10,885 metagenomes associated with 165 different species from 65 different countries. From the collected metagenomes, 51.1% were recovered from animals associated with medical research or grown for human consumption (i.e., mice, rats, cattle, pigs, and poultry). Further, we observed an over-representation of animals collected in temperate regions (89.2%) and a lower representation of samples from the polar zones, with only 11 samples in total. The most common genus among invertebrate animals was Trichocerca (rotifers). CONCLUSION Our work may guide host species selection in novel animal-associated metagenome research, especially in biodiversity and conservation studies. The data available in our database will allow scientists to perform meta-analyses and test new hypotheses (e.g., host-specificity, strain heterogeneity, and biogeography of animal-associated metagenomes), leveraging existing data. The AAMDB WebApp is a user-friendly interface that is publicly available at https://webapp.ufz.de/aamdb/ .
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Affiliation(s)
- Anderson Paulo Avila Santos
- Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ GmbH, 04318, Leipzig, Germany
- Institute of Mathematics and Computer Sciences, University of Sao Paulo, Sao Carlos, Brazil
| | - Muhammad Kabiru Nata'ala
- Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ GmbH, 04318, Leipzig, Germany
- Department of Computer Science and Interdisciplinary Centre of Bioinformatics, University of Leipzig, Härtelstraße 16-18, 04107, Leipzig, Saxony, Germany
| | - Jonas Coelho Kasmanas
- Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ GmbH, 04318, Leipzig, Germany
- Department of Computer Science and Interdisciplinary Centre of Bioinformatics, University of Leipzig, Härtelstraße 16-18, 04107, Leipzig, Saxony, Germany
- Institute of Mathematics and Computer Sciences, University of Sao Paulo, Sao Carlos, Brazil
| | - Alexander Bartholomäus
- GFZ German Research Centre for Geosciences, Section 3.7 Geomicrobiology, 14473, Telegrafenberg, Potsdam, Germany
| | - Tina Keller-Costa
- Institute for Bioengineering and Biosciences (iBB) and Institute for Health and Bioeconomy (i4HB), Instituto Superior Tecnico (IST), Universidade de Lisboa, Lisbon, 1049-001, Portugal
| | - Stephanie D Jurburg
- Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ GmbH, 04318, Leipzig, Germany
- German Centre of Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, Leipzig, 04103, Germany
| | - Tamara Tal
- Department of Bioanalytical Ecotoxicology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Amélia Camarinha-Silva
- Hohenheim Center for Livestock Microbiome Research (HoLMiR), University of Hohenheim, Stuttgart, Germany
- Institute of Animal Science, University of Hohenheim, Stuttgart, Germany
| | - João Pedro Saraiva
- Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ GmbH, 04318, Leipzig, Germany
| | | | - Peter F Stadler
- Department of Computer Science and Interdisciplinary Centre of Bioinformatics, University of Leipzig, Härtelstraße 16-18, 04107, Leipzig, Saxony, Germany
- Max Planck Institute for Mathematics in the Sciences, Inselstraße, 04103, Leipzig, Germany
- Institute for Theoretical Chemistry, Universität Wien, Währingerstraße 17, Vienna, A-1090, Austria
- Center for Scalable Data Analytics and Artificial Intelligence Dresden-Leipzig, Leipzig University, Leipzig, Germany
- Faculdad de Ciencias, Universidad Nacional de Colombia, Sede Bogotá, Bogotá, Colombia
- Center for non-coding RNA in Technology and Health, University of Copenhagen, Frederiksberg, Denmark
- The Santa Fe Institute, 1399 Hyde Park Rd., Santa Fe, NM, 87501, USA
| | | | - Ulisses Rocha
- Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ GmbH, 04318, Leipzig, Germany.
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Wang H, Lv X, Zhao S, Yuan W, Zhou Q, Sadiq FA, Zhao J, Lu W, Wu W. Weight Loss Promotion in Individuals with Obesity through Gut Microbiota Alterations with a Multiphase Modified Ketogenic Diet. Nutrients 2023; 15:4163. [PMID: 37836447 PMCID: PMC10574165 DOI: 10.3390/nu15194163] [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: 08/15/2023] [Revised: 09/13/2023] [Accepted: 09/19/2023] [Indexed: 10/15/2023] Open
Abstract
The occurrence of obesity and related metabolic disorders is rising, necessitating effective long-term weight management strategies. With growing interest in the potential role of gut microbes due to their association with responses to different weight loss diets, understanding the mechanisms underlying the interactions between diet, gut microbiota, and weight loss remains a challenge. This study aimed to investigate the potential impact of a multiphase dietary protocol, incorporating an improved ketogenic diet (MDP-i-KD), on weight loss and the gut microbiota. Using metagenomic sequencing, we comprehensively analyzed the taxonomic and functional composition of the gut microbiota in 13 participants before and after a 12-week MDP-i-KD intervention. The results revealed a significant reduction in BMI (9.2% weight loss) among obese participants following the MDP-i-KD intervention. Machine learning analysis identified seven key microbial species highly correlated with MDP-i-KD, with Parabacteroides distasonis exhibiting the highest response. Additionally, the co-occurrence network of the gut microbiota in post-weight-loss participants demonstrated a healthier state. Notably, metabolic pathways related to nucleotide biosynthesis, aromatic amino acid synthesis, and starch degradation were enriched in pre-intervention participants and positively correlated with BMI. Furthermore, species associated with obesity, such as Blautia obeum and Ruminococcus torques, played pivotal roles in regulating these metabolic activities. In conclusion, the MDP-i-KD intervention may assist in weight management by modulating the composition and metabolic functions of the gut microbiota. Parabacteroides distasonis, Blautia obeum, and Ruminococcus torques could be key targets for gut microbiota-based obesity interventions.
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Affiliation(s)
- Hongchao Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (H.W.); (X.L.); (S.Z.); (W.Y.); (J.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Xinchen Lv
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (H.W.); (X.L.); (S.Z.); (W.Y.); (J.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Sijia Zhao
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (H.W.); (X.L.); (S.Z.); (W.Y.); (J.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Weiwei Yuan
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (H.W.); (X.L.); (S.Z.); (W.Y.); (J.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Qunyan Zhou
- Department of Nutriology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, No. 299, Qingyang Road, Wuxi 214023, China;
| | - Faizan Ahmed Sadiq
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Technology & Food Sciences Unit, 9090 Melle, Belgium;
| | - Jianxin Zhao
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (H.W.); (X.L.); (S.Z.); (W.Y.); (J.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Wenwei Lu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (H.W.); (X.L.); (S.Z.); (W.Y.); (J.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Wenjun Wu
- Department of Endocrinology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, No. 299, Qingyang Road, Wuxi 214023, China
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Liu L, Deng Z, Liu W, Liu R, Ma T, Zhou Y, Wang E, Tang Y. The gut microbiota as a potential biomarker for methamphetamine use disorder: evidence from two independent datasets. Front Cell Infect Microbiol 2023; 13:1257073. [PMID: 37790913 PMCID: PMC10543748 DOI: 10.3389/fcimb.2023.1257073] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 08/29/2023] [Indexed: 10/05/2023] Open
Abstract
Background Methamphetamine use disorder (MUD) poses a considerable public health threat, and its identification remains challenging due to the subjective nature of the current diagnostic system that relies on self-reported symptoms. Recent studies have suggested that MUD patients may have gut dysbiosis and that gut microbes may be involved in the pathological process of MUD. We aimed to examine gut dysbiosis among MUD patients and generate a machine-learning model utilizing gut microbiota features to facilitate the identification of MUD patients. Method Fecal samples from 78 MUD patients and 50 sex- and age-matched healthy controls (HCs) were analyzed by 16S rDNA sequencing to identify gut microbial characteristics that could help differentiate MUD patients from HCs. Based on these microbial features, we developed a machine learning model to help identify MUD patients. We also used public data to verify the model; these data were downloaded from a published study conducted in Wuhan, China (with 16 MUD patients and 14 HCs). Furthermore, we explored the gut microbial features of MUD patients within the first three months of withdrawal to identify the withdrawal period of MUD patients based on microbial features. Results MUD patients exhibited significant gut dysbiosis, including decreased richness and evenness and changes in the abundance of certain microbes, such as Proteobacteria and Firmicutes. Based on the gut microbiota features of MUD patients, we developed a machine learning model that demonstrated exceptional performance with an AUROC of 0.906 for identifying MUD patients. Additionally, when tested using an external and cross-regional dataset, the model achieved an AUROC of 0.830. Moreover, MUD patients within the first three months of withdrawal exhibited specific gut microbiota features, such as the significant enrichment of Actinobacteria. The machine learning model had an AUROC of 0.930 for identifying the withdrawal period of MUD patients. Conclusion In conclusion, the gut microbiota is a promising biomarker for identifying MUD and thus represents a potential approach to improving the identification of MUD patients. Future longitudinal studies are needed to validate these findings.
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Affiliation(s)
- Linzi Liu
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Zijing Deng
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Wen Liu
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Ruina Liu
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Tao Ma
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yifang Zhou
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Enhui Wang
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yanqing Tang
- Department of Psychiatry, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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Liu S, Men X, Guo Y, Cai W, Wu R, Gao R, Zhong W, Guo H, Ruan H, Chou S, Mai J, Ping S, Jiang C, Zhou H, Mou X, Zhao W, Lu Z. Gut microbes exacerbate systemic inflammation and behavior disorders in neurologic disease CADASIL. MICROBIOME 2023; 11:202. [PMID: 37684694 PMCID: PMC10486110 DOI: 10.1186/s40168-023-01638-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 08/01/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a cerebral small vessel disease that carries mutations in NOTCH3. The clinical manifestations are influenced by genetic and environmental factors that may include gut microbiome. RESULTS We investigated the fecal metagenome, fecal metabolome, serum metabolome, neurotransmitters, and cytokines in a cohort of 24 CADASIL patients with 28 healthy household controls. The integrated-omics study showed CADASIL patients harbored an altered microbiota composition and functions. The abundance of bacterial coenzyme A, thiamin, and flavin-synthesizing pathways was depleted in patients. Neurotransmitter balance, represented by the glutamate/GABA (4-aminobutanoate) ratio, was disrupted in patients, which was consistent with the increased abundance of two major GABA-consuming bacteria, Megasphaera elsdenii and Eubacterium siraeum. Essential inflammatory cytokines were significantly elevated in patients, accompanied by an increased abundance of bacterial virulence gene homologs. The abundance of patient-enriched Fusobacterium varium positively correlated with the levels of IL-1β and IL-6. Random forest classification based on gut microbial species, serum cytokines, and neurotransmitters showed high predictivity for CADASIL with AUC = 0.89. Targeted culturomics and mechanisms study further showed that patient-derived F. varium infection caused systemic inflammation and behavior disorder in Notch3R170C/+ mice potentially via induction of caspase-8-dependent noncanonical inflammasome activation in macrophages. CONCLUSION These findings suggested the potential linkage among the brain-gut-microbe axis in CADASIL. Video Abstract.
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Affiliation(s)
- Sheng Liu
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Xuejiao Men
- Department of Neurology, Center for the Study of Mental and Neurological Disorders, the Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, 510630, Guangdong, China
| | - Yang Guo
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Wei Cai
- Department of Neurology, Center for the Study of Mental and Neurological Disorders, the Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, 510630, Guangdong, China
| | - Ruizhen Wu
- Department of Neurology, Center for the Study of Mental and Neurological Disorders, the Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, 510630, Guangdong, China
| | - Rongsui Gao
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Weicong Zhong
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Huating Guo
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Hengfang Ruan
- Department of Neurology, Center for the Study of Mental and Neurological Disorders, the Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, 510630, Guangdong, China
| | - Shuli Chou
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Junrui Mai
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Suning Ping
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Chao Jiang
- Life Sciences Institute, Zhejiang University, Hangzhou, 310012, Zhejiang, China
| | - Hongwei Zhou
- Department of Laboratory Medicine, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, China
| | - Xiangyu Mou
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
| | - Wenjing Zhao
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
| | - Zhengqi Lu
- Department of Neurology, Center for the Study of Mental and Neurological Disorders, the Third Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, 510630, Guangdong, China.
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Murray N, Al Khalaf S, Bastiaanssen TFS, Kaulmann D, Lonergan E, Cryan JF, Clarke G, Khashan AS, O’Connor K. Compositional and Functional Alterations in Intestinal Microbiota in Patients with Psychosis or Schizophrenia: A Systematic Review and Meta-analysis. Schizophr Bull 2023; 49:1239-1255. [PMID: 37210594 PMCID: PMC10483467 DOI: 10.1093/schbul/sbad049] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
BACKGROUND AND HYPOTHESIS Intestinal microbiota is intrinsically linked to human health. Evidence suggests that the composition and function of the microbiome differs in those with schizophrenia compared with controls. It is not clear how these alterations functionally impact people with schizophrenia. We performed a systematic review and meta-analysis to combine and evaluate data on compositional and functional alterations in microbiota in patients with psychosis or schizophrenia. STUDY DESIGN Original studies involving humans and animals were included. The electronic databases PsycINFO, EMBASE, Web of Science, PubMed/MEDLINE, and Cochrane were systematically searched and quantitative analysis performed. STUDY RESULTS Sixteen original studies met inclusion criteria (1376 participants: 748 cases and 628 controls). Ten were included in the meta-analysis. Although observed species and Chao 1 show a decrease in diversity in people with schizophrenia compared with controls (SMD = -0.14 and -0.66 respectively), that did not reach statistical significance. We did not find evidence for variations in richness or evenness of microbiota between patients and controls overall. Differences in beta diversity and consistent patterns in microbial taxa were noted across studies. We found increases in Bifidobacterium, Lactobacillus, and Megasphaera in schizophrenia groups. Variations in brain structure, metabolic pathways, and symptom severity may be associated with compositional alterations in the microbiome. The heterogeneous design of studies complicates a similar evaluation of functional readouts. CONCLUSIONS The microbiome may play a role in the etiology and symptomatology of schizophrenia. Understanding how the implications of alterations in microbial genes for symptomatic expression and clinical outcomes may contribute to the development of microbiome targeted interventions for psychosis.
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Affiliation(s)
- Nuala Murray
- Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland
| | - Sukainah Al Khalaf
- School of Public Health, University College Cork, Cork, Ireland
- INFANT Research Centre, University College Cork, Cork, Ireland
| | - Thomaz F S Bastiaanssen
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - David Kaulmann
- School of Public Health, University College Cork, Cork, Ireland
| | - Edgar Lonergan
- RISE, Early Intervention in Psychosis Service, South Lee Mental Health Services, Cork, Ireland
| | - John F Cryan
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Gerard Clarke
- Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Ali S Khashan
- School of Public Health, University College Cork, Cork, Ireland
- INFANT Research Centre, University College Cork, Cork, Ireland
| | - Karen O’Connor
- Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland
- RISE, Early Intervention in Psychosis Service, South Lee Mental Health Services, Cork, Ireland
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Zhang D, Jian YP, Zhang YN, Li Y, Gu LT, Sun HH, Liu MD, Zhou HL, Wang YS, Xu ZX. Short-chain fatty acids in diseases. Cell Commun Signal 2023; 21:212. [PMID: 37596634 PMCID: PMC10436623 DOI: 10.1186/s12964-023-01219-9] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 07/09/2023] [Indexed: 08/20/2023] Open
Abstract
Short-chain fatty acids (SCFAs) are the main metabolites produced by bacterial fermentation of dietary fibre in the gastrointestinal tract. The absorption of SCFAs is mediated by substrate transporters, such as monocarboxylate transporter 1 and sodium-coupled monocarboxylate transporter 1, which promote cellular metabolism. An increasing number of studies have implicated metabolites produced by microorganisms as crucial executors of diet-based microbial influence on the host. SCFAs are important fuels for intestinal epithelial cells (IECs) and represent a major carbon flux from the diet, that is decomposed by the gut microbiota. SCFAs play a vital role in multiple molecular biological processes, such as promoting the secretion of glucagon-like peptide-1 by IECs to inhibit the elevation of blood glucose, increasing the expression of G protein-coupled receptors such as GPR41 and GPR43, and inhibiting histone deacetylases, which participate in the regulation of the proliferation, differentiation, and function of IECs. SCFAs affect intestinal motility, barrier function, and host metabolism. Furthermore, SCFAs play important regulatory roles in local, intermediate, and peripheral metabolisms. Acetate, propionate, and butyrate are the major SCFAs, they are involved in the regulation of immunity, apoptosis, inflammation, and lipid metabolism. Herein, we review the diverse functional roles of this major class of bacterial metabolites and reflect on their ability to affect intestine, metabolic, and other diseases. Video Abstract.
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Affiliation(s)
- Dan Zhang
- Key Laboratory of Pathobiology, Ministry of Education, Norman Bethune College of Medicine, Jilin University, Changchun, 130021, China
| | - Yong-Ping Jian
- Key Laboratory of Pathobiology, Ministry of Education, Norman Bethune College of Medicine, Jilin University, Changchun, 130021, China
- School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Yu-Ning Zhang
- Key Laboratory of Pathobiology, Ministry of Education, Norman Bethune College of Medicine, Jilin University, Changchun, 130021, China
| | - Yao Li
- Key Laboratory of Pathobiology, Ministry of Education, Norman Bethune College of Medicine, Jilin University, Changchun, 130021, China
| | - Li-Ting Gu
- Key Laboratory of Pathobiology, Ministry of Education, Norman Bethune College of Medicine, Jilin University, Changchun, 130021, China
| | - Hui-Hui Sun
- Key Laboratory of Pathobiology, Ministry of Education, Norman Bethune College of Medicine, Jilin University, Changchun, 130021, China
| | - Ming-Di Liu
- Key Laboratory of Pathobiology, Ministry of Education, Norman Bethune College of Medicine, Jilin University, Changchun, 130021, China
| | - Hong-Lan Zhou
- Department of Urology, The First Hospital of Jilin University, Changchun, 130021, China.
| | - Yi-Shu Wang
- Key Laboratory of Pathobiology, Ministry of Education, Norman Bethune College of Medicine, Jilin University, Changchun, 130021, China.
| | - Zhi-Xiang Xu
- Key Laboratory of Pathobiology, Ministry of Education, Norman Bethune College of Medicine, Jilin University, Changchun, 130021, China.
- School of Life Sciences, Henan University, Kaifeng, 475004, China.
- Department of Urology, The First Hospital of Jilin University, Changchun, 130021, China.
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Yang JC, Troutman R, Buri H, Gutta A, Situ J, Aja E, Jacobs JP. Ileal Dysbiosis Is Associated with Increased Acoustic Startle in the 22q11.2 Microdeletion Mouse Model of Schizophrenia. Nutrients 2023; 15:3631. [PMID: 37630824 PMCID: PMC10458577 DOI: 10.3390/nu15163631] [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: 07/27/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 08/27/2023] Open
Abstract
Recent studies involving transplantation of feces from schizophrenia (SCZ) patients and their healthy controls into germ-free mice have demonstrated that the gut microbiome plays a critical role in mediating SCZ-linked physiology and behavior. To date, only one animal model (a metabotropic glutamate receptor 5 knockout) of SCZ has been reported to recapitulate SCZ-linked gut dysbiosis. Since human 22q11.2 microdeletion syndrome is associated with increased risk of SCZ, we investigated whether the 22q11.2 microdeletion ("Q22") mouse model of SCZ exhibits both SCZ-linked behaviors and intestinal dysbiosis. We demonstrated that Q22 mice display increased acoustic startle response and ileal (but not colonic) dysbiosis, which may be due to the role of the ileum as an intestinal region with high immune and neuroimmune activity. We additionally identified a negative correlation between the abundance of a Streptococcus species in the ilea of Q22 mice and their acoustic startle response, providing early evidence of a gut-brain relationship in these mice. Given the translational relevance of this mouse model, our work suggests that Q22 mice could have considerable utility in preclinical research probing the relationship between gut dysbiosis and the gut-brain axis in the pathogenesis of SCZ.
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Affiliation(s)
- Julianne Ching Yang
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA; (J.C.Y.); (R.T.); (H.B.); (A.G.); (J.S.); (E.A.)
| | - Ryan Troutman
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA; (J.C.Y.); (R.T.); (H.B.); (A.G.); (J.S.); (E.A.)
| | - Heidi Buri
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA; (J.C.Y.); (R.T.); (H.B.); (A.G.); (J.S.); (E.A.)
| | - Arjun Gutta
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA; (J.C.Y.); (R.T.); (H.B.); (A.G.); (J.S.); (E.A.)
| | - Jamilla Situ
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA; (J.C.Y.); (R.T.); (H.B.); (A.G.); (J.S.); (E.A.)
| | - Ezinne Aja
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA; (J.C.Y.); (R.T.); (H.B.); (A.G.); (J.S.); (E.A.)
- Goodman-Luskin Microbiome Center, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Jonathan Patrick Jacobs
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA; (J.C.Y.); (R.T.); (H.B.); (A.G.); (J.S.); (E.A.)
- Goodman-Luskin Microbiome Center, University of California Los Angeles, Los Angeles, CA 90095, USA
- Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA 90073, USA
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Graham AS, Ben-Azu B, Tremblay MÈ, Torre P, Senekal M, Laughton B, van der Kouwe A, Jankiewicz M, Kaba M, Holmes MJ. A review of the auditory-gut-brain axis. Front Neurosci 2023; 17:1183694. [PMID: 37600010 PMCID: PMC10435389 DOI: 10.3389/fnins.2023.1183694] [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: 03/10/2023] [Accepted: 07/17/2023] [Indexed: 08/22/2023] Open
Abstract
Hearing loss places a substantial burden on medical resources across the world and impacts quality of life for those affected. Further, it can occur peripherally and/or centrally. With many possible causes of hearing loss, there is scope for investigating the underlying mechanisms involved. Various signaling pathways connecting gut microbes and the brain (the gut-brain axis) have been identified and well established in a variety of diseases and disorders. However, the role of these pathways in providing links to other parts of the body has not been explored in much depth. Therefore, the aim of this review is to explore potential underlying mechanisms that connect the auditory system to the gut-brain axis. Using select keywords in PubMed, and additional hand-searching in google scholar, relevant studies were identified. In this review we summarize the key players in the auditory-gut-brain axis under four subheadings: anatomical, extracellular, immune and dietary. Firstly, we identify important anatomical structures in the auditory-gut-brain axis, particularly highlighting a direct connection provided by the vagus nerve. Leading on from this we discuss several extracellular signaling pathways which might connect the ear, gut and brain. A link is established between inflammatory responses in the ear and gut microbiome-altering interventions, highlighting a contribution of the immune system. Finally, we discuss the contribution of diet to the auditory-gut-brain axis. Based on the reviewed literature, we propose numerous possible key players connecting the auditory system to the gut-brain axis. In the future, a more thorough investigation of these key players in animal models and human research may provide insight and assist in developing effective interventions for treating hearing loss.
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Affiliation(s)
- Amy S. Graham
- Imaging Sciences, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Human Biology, Division of Biomedical Engineering, University of Cape Town, Cape Town, South Africa
| | - Benneth Ben-Azu
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Department of Pharmacology, Faculty of Basic Medical Sciences, College of Health Sciences, Delta State University, Abraka, Delta State, Nigeria
| | - Marie-Ève Tremblay
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Département de Médecine Moléculaire, Université Laval, Québec City, QC, Canada
- Axe Neurosciences, Centre de Recherche du CHU de Québec, Université Laval, Quebec City, QC, Canada
- Neurology and Neurosurgery Department, McGill University, Montreal, QC, Canada
- Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada
- Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, BC, Canada
- Institute for Aging and Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Peter Torre
- School of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, CA, United States
| | - Marjanne Senekal
- Department of Human Biology, Division of Physiological Sciences, University of Cape Town, Cape Town, South Africa
| | - Barbara Laughton
- Family Clinical Research Unit, Department of Pediatrics and Child Health, Stellenbosch University, Cape Town, South Africa
| | - Andre van der Kouwe
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
- Department of Radiology, Harvard Medical School, Boston, MA, United States
| | - Marcin Jankiewicz
- Imaging Sciences, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Human Biology, Division of Biomedical Engineering, University of Cape Town, Cape Town, South Africa
| | - Mamadou Kaba
- Department of Pathology, Division of Medical Microbiology, University of Cape Town, Cape Town, South Africa
| | - Martha J. Holmes
- Imaging Sciences, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Human Biology, Division of Biomedical Engineering, University of Cape Town, Cape Town, South Africa
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
- ImageTech, Simon Fraser University, Surrey, BC, Canada
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Fredriksen S, de Warle S, van Baarlen P, Boekhorst J, Wells JM. Resistome expansion in disease-associated human gut microbiomes. MICROBIOME 2023; 11:166. [PMID: 37507809 PMCID: PMC10386251 DOI: 10.1186/s40168-023-01610-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 06/30/2023] [Indexed: 07/30/2023]
Abstract
BACKGROUND The resistome, the collection of antibiotic resistance genes (ARGs) in a microbiome, is increasingly recognised as relevant to the development of clinically relevant antibiotic resistance. Many metagenomic studies have reported resistome differences between groups, often in connection with disease and/or antibiotic treatment. However, the consistency of resistome associations with antibiotic- and non-antibiotic-treated diseases has not been established. In this study, we re-analysed human gut microbiome data from 26 case-control studies to assess the link between disease and the resistome. RESULTS The human gut resistome is highly variable between individuals both within and between studies, but may also vary significantly between case and control groups even in the absence of large taxonomic differences. We found that for diseases commonly treated with antibiotics, namely cystic fibrosis and diarrhoea, patient microbiomes had significantly elevated ARG abundances compared to controls. Disease-associated resistome expansion was found even when ARG abundance was high in controls, suggesting ongoing and additive ARG acquisition in disease-associated strains. We also found a trend for increased ARG abundance in cases from some studies on diseases that are not treated with antibiotics, such as colorectal cancer. CONCLUSIONS Diseases commonly treated with antibiotics are associated with expanded gut resistomes, suggesting that historical exposure to antibiotics has exerted considerable selective pressure for ARG acquisition in disease-associated strains. Video Abstract.
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Affiliation(s)
- Simen Fredriksen
- Host-Microbe Interactomics Group, Animal Sciences Department, Wageningen University & Research, Wageningen, The Netherlands.
| | - Stef de Warle
- Host-Microbe Interactomics Group, Animal Sciences Department, Wageningen University & Research, Wageningen, The Netherlands
| | - Peter van Baarlen
- Host-Microbe Interactomics Group, Animal Sciences Department, Wageningen University & Research, Wageningen, The Netherlands
| | - Jos Boekhorst
- Host-Microbe Interactomics Group, Animal Sciences Department, Wageningen University & Research, Wageningen, The Netherlands
| | - Jerry M Wells
- Host-Microbe Interactomics Group, Animal Sciences Department, Wageningen University & Research, Wageningen, The Netherlands.
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Xiong RG, Li J, Cheng J, Zhou DD, Wu SX, Huang SY, Saimaiti A, Yang ZJ, Gan RY, Li HB. The Role of Gut Microbiota in Anxiety, Depression, and Other Mental Disorders as Well as the Protective Effects of Dietary Components. Nutrients 2023; 15:3258. [PMID: 37513676 PMCID: PMC10384867 DOI: 10.3390/nu15143258] [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: 07/11/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023] Open
Abstract
The number of individuals experiencing mental disorders (e.g., anxiety and depression) has significantly risen in recent years. Therefore, it is essential to seek prevention and treatment strategies for mental disorders. Several gut microbiota, especially Firmicutes and Bacteroidetes, are demonstrated to affect mental health through microbiota-gut-brain axis, and the gut microbiota dysbiosis can be related to mental disorders, such as anxiety, depression, and other mental disorders. On the other hand, dietary components, including probiotics (e.g., Lactobacillus and Bifidobacterium), prebiotics (e.g., dietary fiber and alpha-lactalbumin), synbiotics, postbiotics (e.g., short-chain fatty acids), dairy products, spices (e.g., Zanthoxylum bungeanum, curcumin, and capsaicin), fruits, vegetables, medicinal herbs, and so on, could exert protective effects against mental disorders by enhancing beneficial gut microbiota while suppressing harmful ones. In this paper, the mental disorder-associated gut microbiota are summarized. In addition, the protective effects of dietary components on mental health through targeting the gut microbiota are discussed. This paper can be helpful to develop some dietary natural products into pharmaceuticals and functional foods to prevent and treat mental disorders.
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Affiliation(s)
- Ruo-Gu Xiong
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (R.-G.X.); (J.C.); (D.-D.Z.); (S.-X.W.); (S.-Y.H.); (A.S.); (Z.-J.Y.)
| | - Jiahui Li
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China;
| | - Jin Cheng
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (R.-G.X.); (J.C.); (D.-D.Z.); (S.-X.W.); (S.-Y.H.); (A.S.); (Z.-J.Y.)
| | - Dan-Dan Zhou
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (R.-G.X.); (J.C.); (D.-D.Z.); (S.-X.W.); (S.-Y.H.); (A.S.); (Z.-J.Y.)
| | - Si-Xia Wu
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (R.-G.X.); (J.C.); (D.-D.Z.); (S.-X.W.); (S.-Y.H.); (A.S.); (Z.-J.Y.)
| | - Si-Yu Huang
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (R.-G.X.); (J.C.); (D.-D.Z.); (S.-X.W.); (S.-Y.H.); (A.S.); (Z.-J.Y.)
| | - Adila Saimaiti
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (R.-G.X.); (J.C.); (D.-D.Z.); (S.-X.W.); (S.-Y.H.); (A.S.); (Z.-J.Y.)
| | - Zhi-Jun Yang
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (R.-G.X.); (J.C.); (D.-D.Z.); (S.-X.W.); (S.-Y.H.); (A.S.); (Z.-J.Y.)
| | - Ren-You Gan
- Singapore Institute of Food and Biotechnology Innovation (SIFBI), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Singapore 138669, Singapore
| | - Hua-Bin Li
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (R.-G.X.); (J.C.); (D.-D.Z.); (S.-X.W.); (S.-Y.H.); (A.S.); (Z.-J.Y.)
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Karpiński P, Żebrowska-Różańska P, Kujawa D, Łaczmański Ł, Samochowiec J, Jabłoński M, Plichta P, Piotrowski P, Bielawski T, Misiak B. Gut microbiota alterations in schizophrenia might be related to stress exposure: Findings from the machine learning analysis. Psychoneuroendocrinology 2023; 155:106335. [PMID: 37467542 DOI: 10.1016/j.psyneuen.2023.106335] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 06/04/2023] [Accepted: 07/11/2023] [Indexed: 07/21/2023]
Abstract
Specific mechanisms underlying gut microbiota alterations in schizophrenia remain unknown. We aimed to compare gut microbiota between patients with schizophrenia and controls, taking into consideration exposure stress across lifespan, dietary habits, metabolic parameters and clinical manifestation. A total of 142 participants, including 89 patients with schizophrenia and 52 controls, were recruited. Gut microbiota were analyzed using the 16 S rRNA sequencing. Additionally, biochemical parameters related to glucose homeostasis, lipid profile and inflammation were assessed. Increased abundance of Lactobacillus and Limosilactobacillus as well as decreased abundance of Faecalibacterium and Paraprevotella were found in patients with schizophrenia. The machine learning analysis demonstrated that between-group differences in gut microbiota were associated with psychosocial stress (a history of childhood trauma, greater cumulative exposure to stress across lifespan and higher level of perceived stress), poor nutrition (lower consumption of vegetables and fish products), lipid profile alterations (lower levels of high-density lipoproteins) and cognitive impairment (worse performance of attention). Our findings indicate that gut microbiota alterations in patients with schizophrenia, including increased abundance of lactic acid bacteria (Lactobacillus and Limosilactobacillus) and decreased abundance of bacteria producing short-chain fatty acids (Faecalibacterium and Paraprevotella) might be associated with exposure to stress, poor dietary habits, lipid profile alterations and cognitive impairment.
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Affiliation(s)
- Paweł Karpiński
- Department of Genetics, Wroclaw Medical University, Wroclaw, Poland; Laboratory of Genomics & Bioinformatics, Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Paulina Żebrowska-Różańska
- Laboratory of Genomics & Bioinformatics, Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Dorota Kujawa
- Laboratory of Genomics & Bioinformatics, Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Łukasz Łaczmański
- Laboratory of Genomics & Bioinformatics, Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Jerzy Samochowiec
- Department and Clinic of Psychiatry, Pomeranian Medical University, Szczecin, Poland
| | - Marcin Jabłoński
- Department and Clinic of Psychiatry, Pomeranian Medical University, Szczecin, Poland
| | - Piotr Plichta
- Department and Clinic of Psychiatry, Pomeranian Medical University, Szczecin, Poland
| | - Patryk Piotrowski
- Department of Psychiatry, Division of Consultation Psychiatry and Neuroscience, Wroclaw Medical University, Wroclaw, Poland
| | - Tomasz Bielawski
- Department and Clinic of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | - Błażej Misiak
- Department of Psychiatry, Division of Consultation Psychiatry and Neuroscience, Wroclaw Medical University, Wroclaw, Poland.
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Jeste DV, Malaspina D, Bagot K, Barch DM, Cole S, Dickerson F, Dilmore A, Ford CL, Karcher NR, Luby J, Rajji T, Pinto-Tomas AA, Young LJ. Review of Major Social Determinants of Health in Schizophrenia-Spectrum Psychotic Disorders: III. Biology. Schizophr Bull 2023; 49:867-880. [PMID: 37023360 PMCID: PMC10318888 DOI: 10.1093/schbul/sbad031] [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] [Indexed: 04/08/2023]
Abstract
BACKGROUND Social determinants of health (SDoHs) are nonmedical factors that significantly impact health and longevity. We found no published reviews on the biology of SDoHs in schizophrenia-spectrum psychotic disorders (SSPD). STUDY DESIGN We present an overview of pathophysiological mechanisms and neurobiological processes plausibly involved in the effects of major SDoHs on clinical outcomes in SSPD. STUDY RESULTS This review of the biology of SDoHs focuses on early-life adversities, poverty, social disconnection, discrimination including racism, migration, disadvantaged neighborhoods, and food insecurity. These factors interact with psychological and biological factors to increase the risk and worsen the course and prognosis of schizophrenia. Published studies on the topic are limited by cross-sectional design, variable clinical and biomarker assessments, heterogeneous methods, and a lack of control for confounding variables. Drawing on preclinical and clinical studies, we propose a biological framework to consider the likely pathogenesis. Putative systemic pathophysiological processes include epigenetics, allostatic load, accelerated aging with inflammation (inflammaging), and the microbiome. These processes affect neural structures, brain function, neurochemistry, and neuroplasticity, impacting the development of psychosis, quality of life, cognitive impairment, physical comorbidities, and premature mortality. Our model provides a framework for research that could lead to developing specific strategies for prevention and treatment of the risk factors and biological processes, thereby improving the quality of life and increasing the longevity of people with SSPD. CONCLUSIONS Biology of SDoHs in SSPD is an exciting area of research that points to innovative multidisciplinary team science for improving the course and prognosis of these serious psychiatric disorders.
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Affiliation(s)
- Dilip V Jeste
- Department of Psychiatry, University of California, San Diego (Retired), CA, USA
| | - Dolores Malaspina
- Departments of Psychiatry, Neuroscience and Genetics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kara Bagot
- Department of Psychiatry, Addiction Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Deanna M Barch
- Departments of Psychological and Brain Sciences, Psychiatry, and Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Steve Cole
- Departments of Psychiatry and Biobehavioral Sciences, and Medicine, University of California, Los Angeles, CA, USA
| | - Faith Dickerson
- Department of Psychology, Sheppard Pratt, Baltimore, MD, USA
| | - Amanda Dilmore
- Department of Pediatrics, University of California, San Diego, CA, USA
| | - Charles L Ford
- Center for Translational Social Neuroscience, Department of Psychiatry, Emory University, Atlanta, GA, USA
| | - Nicole R Karcher
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Joan Luby
- Department of Psychiatry (Child), Washington University in St. Louis, St. Louis, MO, USA
| | - Tarek Rajji
- Adult Neurodevelopment and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Adrián A Pinto-Tomas
- Biochemistry Department, School of Medicine, Universidad de Costa Rica, San José, Costa Rica
| | - Larry J Young
- Center for Translational Social Neuroscience, Department of Psychiatry, Emory University, Atlanta, GA, USA
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Zhang H, Jin K, Xiong K, Jing W, Pang Z, Feng M, Cheng X. Disease-associated gut microbiome and critical metabolomic alterations in patients with colorectal cancer. Cancer Med 2023; 12:15720-15735. [PMID: 37260140 PMCID: PMC10417192 DOI: 10.1002/cam4.6194] [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: 02/06/2023] [Revised: 04/26/2023] [Accepted: 05/23/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Gut microbiota plays a significant role in the colorectal cancer (CRC) process. Ectopic colonization of multiple oral bacteria is reportedly associated with CRC pathogenesis and progression, but the details remain unclear. METHODS We enrolled a cohort of 50 CRC patients and 52 healthy controls from an East China population. Taxonomic and functional analysis of the fecal microbiota were performed using 16S rDNA (50 + 52 samples) and shotgun metagenomic sequencing (8 + 6 samples), respectively, with particular attention paid to gut-colonized oral bacteria. RESULTS AND CONCLUSIONS The results showed more detected bacterial species but lower species evenness within the samples from CRC patients. To determine the specific bacteria enriched in each group, we analyzed their possible protective, carcinogenic, or opportunistic roles in the CRC process. Among the ectopic oral bacteria, we observed a significant increase in the abundance of Fusobacterium and decreased abundance of Prevotella and Ruminococcus in the CRC group. Main differences in the functional composition of these two groups were related to energy metabolism and biosynthesis, especially the glycolytic pathway. Furthermore, we validated the colonization of Fusobacterium nucleatum subsp. animalis within CRC tissues and studied its impact on the host intestinal epithelium and tumor cells. With high selectivity for cancerous tissues, this subspecies promoted CRC cell proliferation and induced potential DNA damage.
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Affiliation(s)
- Hongze Zhang
- Department of Medical Microbiology and Parasitology, School of Basic Medical SciencesFudan UniversityShanghaiChina
| | - Kai Jin
- Department of Medical Microbiology and Parasitology, School of Basic Medical SciencesFudan UniversityShanghaiChina
- Department of Surgical Intensive Care UnitHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Kunlong Xiong
- Department of Respiratory and Critical MedicineNingbo First HospitalNingboChina
| | - Wenwen Jing
- Department of Medical Microbiology and Parasitology, School of Basic Medical SciencesFudan UniversityShanghaiChina
| | - Zhen Pang
- Department of Medical Microbiology and Parasitology, School of Basic Medical SciencesFudan UniversityShanghaiChina
- Department of Hand Surgery, Huashan HospitalFudan UniversityShanghaiChina
| | - Meng Feng
- Department of Medical Microbiology and Parasitology, School of Basic Medical SciencesFudan UniversityShanghaiChina
| | - Xunjia Cheng
- Department of Medical Microbiology and Parasitology, School of Basic Medical SciencesFudan UniversityShanghaiChina
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Nuncio-Mora L, Lanzagorta N, Nicolini H, Sarmiento E, Ortiz G, Sosa F, Genis-Mendoza AD. The Role of the Microbiome in First Episode of Psychosis. Biomedicines 2023; 11:1770. [PMID: 37371865 DOI: 10.3390/biomedicines11061770] [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: 03/11/2023] [Revised: 06/10/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
The relationship between the gut-brain-microbiome axis has gained great importance in the study of psychiatric disorders, as it may represent a new target for their treatment. To date, the available literature suggests that the microbiota may influence the pathophysiology of several diseases, including psychosis. The aim of this review is to summarize the clinical and preclinical studies that have evaluated the differences in microbiota as well as the metabolic consequences related to psychosis. Current data suggest that the genera Lactobacillus and Megasphaera are increased in schizophrenia (SZ), as well as alterations in the glutamate-glutamine-GABA cycle, serum levels of tryptophan, kynurenic acid (KYNA), and short-chain fatty acids (SCFAs). There are still very few studies on early-onset psychosis, thus more studies are needed to be able to propose targeted therapies for a point when the disease has just started or has not yet progressed.
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Affiliation(s)
- Lucero Nuncio-Mora
- Laboratory of Genomics of Psychiatric and Neurodegenerative Diseases, National Institute of Genomic Medicine, Mexico City 14610, Mexico
- Posgraduate Studies in Biological Sciences, Posgraduate Unit, Posgraduate Circuit, Universitary City, Building D, 1st Floor, Coyoacan, Mexico City 04510, Mexico
| | | | - Humberto Nicolini
- Laboratory of Genomics of Psychiatric and Neurodegenerative Diseases, National Institute of Genomic Medicine, Mexico City 14610, Mexico
- Carraci Medical Group, Mexico City 03740, Mexico
| | - Emmanuel Sarmiento
- Psychiatric Children's Hospital Dr. Juan N. Navarro, Mexico City 14080, Mexico
| | - Galo Ortiz
- Psychiatric Children's Hospital Dr. Juan N. Navarro, Mexico City 14080, Mexico
| | - Fernanda Sosa
- Carraci Medical Group, Mexico City 03740, Mexico
- Psychiatric Children's Hospital Dr. Juan N. Navarro, Mexico City 14080, Mexico
| | - Alma Delia Genis-Mendoza
- Laboratory of Genomics of Psychiatric and Neurodegenerative Diseases, National Institute of Genomic Medicine, Mexico City 14610, Mexico
- Psychiatric Children's Hospital Dr. Juan N. Navarro, Mexico City 14080, Mexico
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Ben-Azu B, del Re EC, VanderZwaag J, Carrier M, Keshavan M, Khakpour M, Tremblay MÈ. Emerging epigenetic dynamics in gut-microglia brain axis: experimental and clinical implications for accelerated brain aging in schizophrenia. Front Cell Neurosci 2023; 17:1139357. [PMID: 37256150 PMCID: PMC10225712 DOI: 10.3389/fncel.2023.1139357] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 04/27/2023] [Indexed: 06/01/2023] Open
Abstract
Brain aging, which involves a progressive loss of neuronal functions, has been reported to be premature in probands affected by schizophrenia (SCZ). Evidence shows that SCZ and accelerated aging are linked to changes in epigenetic clocks. Recent cross-sectional magnetic resonance imaging analyses have uncovered reduced brain reserves and connectivity in patients with SCZ compared to typically aging individuals. These data may indicate early abnormalities of neuronal function following cyto-architectural alterations in SCZ. The current mechanistic knowledge on brain aging, epigenetic changes, and their neuropsychiatric disease association remains incomplete. With this review, we explore and summarize evidence that the dynamics of gut-resident bacteria can modulate molecular brain function and contribute to age-related neurodegenerative disorders. It is known that environmental factors such as mode of birth, dietary habits, stress, pollution, and infections can modulate the microbiota system to regulate intrinsic neuronal activity and brain reserves through the vagus nerve and enteric nervous system. Microbiota-derived molecules can trigger continuous activation of the microglial sensome, groups of receptors and proteins that permit microglia to remodel the brain neurochemistry based on complex environmental activities. This remodeling causes aberrant brain plasticity as early as fetal developmental stages, and after the onset of first-episode psychosis. In the central nervous system, microglia, the resident immune surveillance cells, are involved in neurogenesis, phagocytosis of synapses and neurological dysfunction. Here, we review recent emerging experimental and clinical evidence regarding the gut-brain microglia axis involvement in SCZ pathology and etiology, the hypothesis of brain reserve and accelerated aging induced by dietary habits, stress, pollution, infections, and other factors. We also include in our review the possibilities and consequences of gut dysbiosis activities on microglial function and dysfunction, together with the effects of antipsychotics on the gut microbiome: therapeutic and adverse effects, role of fecal microbiota transplant and psychobiotics on microglial sensomes, brain reserves and SCZ-derived accelerated aging. We end the review with suggestions that may be applicable to the clinical setting. For example, we propose that psychobiotics might contribute to antipsychotic-induced therapeutic benefits or adverse effects, as well as reduce the aging process through the gut-brain microglia axis. Overall, we hope that this review will help increase the understanding of SCZ pathogenesis as related to chronobiology and the gut microbiome, as well as reveal new concepts that will serve as novel treatment targets for SCZ.
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Affiliation(s)
- Benneth Ben-Azu
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Department of Pharmacology, Faculty of Basic Medical Sciences, College of Health Sciences, Delta State University, Abraka, Nigeria
| | - Elisabetta C. del Re
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- VA Boston Healthcare System, Brockton, MA, United States
- Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Jared VanderZwaag
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | - Micaël Carrier
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Beth Israel Deaconess Medical Center, Boston, MA, United States
| | | | - Marie-Ève Tremblay
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Axe Neurosciences, Centre de Recherche du CHU de Québec, Université Laval, Québec City, QC, Canada
- Department of Biochemistry and Molecular Biology, The University of British Columbia, Vancouver, BC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
- Department of Molecular Medicine, Université Laval, Québec City, QC, Canada
- Centre for Advanced Materials and Related Technology (CAMTEC), Institute on Aging and Lifelong Health (IALH), University of Victoria, Victoria, BC, Canada
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Tomofuji Y, Sonehara K, Kishikawa T, Maeda Y, Ogawa K, Kawabata S, Nii T, Okuno T, Oguro-Igashira E, Kinoshita M, Takagaki M, Yamamoto K, Kurakawa T, Yagita-Sakamaki M, Hosokawa A, Motooka D, Matsumoto Y, Matsuoka H, Yoshimura M, Ohshima S, Nakamura S, Inohara H, Kishima H, Mochizuki H, Takeda K, Kumanogoh A, Okada Y. Reconstruction of the personal information from human genome reads in gut metagenome sequencing data. Nat Microbiol 2023:10.1038/s41564-023-01381-3. [PMID: 37188815 DOI: 10.1038/s41564-023-01381-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 04/12/2023] [Indexed: 05/17/2023]
Abstract
Human DNA present in faecal samples can result in a small number of human reads in gut shotgun metagenomic sequencing data. However, it is presently unclear how much personal information can be reconstructed from such reads, and this has not been quantitatively evaluated. Such a quantitative evaluation is necessary to clarify the ethical concerns related to data sharing and to enable efficient use of human genetic information in stool samples, such as for research and forensics. Here we used genomic approaches to reconstruct personal information from the faecal metagenomes of 343 Japanese individuals with associated human genotype data. Genetic sex could be accurately predicted based on the sequencing depth of sex chromosomes for 97.3% of the samples. Individuals could be re-identified from the matched genotype data based on human reads recovered from the faecal metagenomic data with 93.3% sensitivity using a likelihood score-based method. This method also enabled us to predict the ancestries of 98.3% of the samples. Finally, we performed ultra-deep shotgun metagenomic sequencing of five faecal samples as well as whole-genome sequencing of blood samples. Using genotype-calling approaches, we demonstrated that the genotypes of both common and rare variants could be reconstructed from faecal samples. This included clinically relevant variants. Our approach can be used to quantify personal information contained within gut metagenome data.
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Affiliation(s)
- Yoshihiko Tomofuji
- Department of Statistical Genetics, Graduate School of Medicine, Osaka University, Suita, Japan.
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan.
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
| | - Kyuto Sonehara
- Department of Statistical Genetics, Graduate School of Medicine, Osaka University, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Toshihiro Kishikawa
- Department of Statistical Genetics, Graduate School of Medicine, Osaka University, Suita, Japan
- Department of Otorhinolaryngology-Head and Neck Surgery, Graduate School of Medicine, Osaka University, Suita, Japan
- Department of Head and Neck Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Yuichi Maeda
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Suita, Japan
- Laboratory of Immune Regulation, Department of Microbiology and Immunology, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Kotaro Ogawa
- Department of Neurology, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Shuhei Kawabata
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Takuro Nii
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Suita, Japan
- Laboratory of Immune Regulation, Department of Microbiology and Immunology, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Tatsusada Okuno
- Department of Neurology, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Eri Oguro-Igashira
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Suita, Japan
- Laboratory of Immune Regulation, Department of Microbiology and Immunology, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Makoto Kinoshita
- Department of Neurology, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Masatoshi Takagaki
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Kenichi Yamamoto
- Department of Statistical Genetics, Graduate School of Medicine, Osaka University, Suita, Japan
- Department of Pediatrics, Graduate School of Medicine, Osaka University, Suita, Japan
- Laboratory of Statistical Immunology, WPI Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
| | - Takashi Kurakawa
- Laboratory of Immune Regulation, Department of Microbiology and Immunology, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Mayu Yagita-Sakamaki
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Suita, Japan
- Laboratory of Immune Regulation, Department of Microbiology and Immunology, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Akiko Hosokawa
- Department of Neurology, Graduate School of Medicine, Osaka University, Suita, Japan
- Department of Neurology, Suita Municipal Hospital, Suita, Japan
| | - Daisuke Motooka
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Department of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Yuki Matsumoto
- Department of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Hidetoshi Matsuoka
- Department of Rheumatology and Allergology, NHO Osaka Minami Medical Center, Kawachinagano, Japan
| | - Maiko Yoshimura
- Department of Rheumatology and Allergology, NHO Osaka Minami Medical Center, Kawachinagano, Japan
| | - Shiro Ohshima
- Department of Rheumatology and Allergology, NHO Osaka Minami Medical Center, Kawachinagano, Japan
| | - Shota Nakamura
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Department of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research, Osaka University, Suita, Japan
| | - Hidenori Inohara
- Department of Otorhinolaryngology-Head and Neck Surgery, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Haruhiko Kishima
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Hideki Mochizuki
- Department of Neurology, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Kiyoshi Takeda
- Laboratory of Immune Regulation, Department of Microbiology and Immunology, Graduate School of Medicine, Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research, Osaka University, Suita, Japan
- WPI Immunology Frontier Research Center, Osaka University, Suita, Japan
| | - Atsushi Kumanogoh
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Suita, Japan
- Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Suita, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Graduate School of Medicine, Osaka University, Suita, Japan.
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan.
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
- Laboratory of Statistical Immunology, WPI Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan.
- Center for Infectious Disease Education and Research, Osaka University, Suita, Japan.
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Amdanee N, Shao M, Hu X, Fang X, Zhou C, Chen J, Ridwan Chattun M, Wen L, Pan X, Zhang X, Xu Y. Serum Metabolic Profile in Schizophrenia Patients With Antipsychotic-Induced Constipation and Its relationship With Gut Microbiome. Schizophr Bull 2023; 49:646-658. [PMID: 36723169 PMCID: PMC10154739 DOI: 10.1093/schbul/sbac202] [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] [Indexed: 02/02/2023]
Abstract
BACKGROUND AND HYPOTHESIS Antipsychotics (APs), the cornerstone of schizophrenia treatment, confer a relatively high risk of constipation. However, the mechanisms underpinning AP-induced constipation are poorly understood. Thus, we hypothesized that (1) schizophrenia patients with AP-induced constipation have distinct metabolic patterns; (2) there is more than one mechanism at play in producing this adverse drug effect; and (3) AP-associated changes in the gut microbiome are related to the altered metabolic profiles. STUDY DESIGN Eighty-eight schizophrenia patients, including 44 with constipation (C) and 44 matched patients without constipation (NC), were enrolled in this study. Constipation was diagnosed by Rome IV criteria for constipation and colonic transit time using radiopaque markers (ROMs) while severity was evaluated with the Bristol Stool Form Scale (BSS) and Constipation Assessment Scale (CAS). Fasting blood samples were drawn from all participants and were subjected to non-targeted liquid chromatography-mass spectrometry (LC-MS) metabolomic analysis. STUDY RESULTS Eleven metabolites were significantly altered in AP-induced constipation which primarily disturbed sphingolipid metabolism, choline metabolism, and sphingolipid signaling pathway (P value < .05, FDR < 0.05). In the C group, changes in the gut bacteria showed a certain degree of correlation with 2 of the significantly altered serum metabolites and were associated with alterations in choline metabolism. CONCLUSIONS Our findings indicated that there were disturbances in distinct metabolic pathways that were associated with AP-induced constipation. In addition, this study presents evidence of a link between alterations in the gut microbiome and host metabolism which provides additional mechanistic insights on AP-induced constipation.
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Affiliation(s)
- Nousayhah Amdanee
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Miaomiao Shao
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Department of Psychiatry, The Second People’s Hospital of Jiangning District, Nanjing, Jiangsu, China
| | - Xiuxiu Hu
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Department of Psychiatry, The Second People’s Hospital of Jiangning District, Nanjing, Jiangsu, China
| | - Xinyu Fang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chao Zhou
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Mohammad Ridwan Chattun
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Lu Wen
- Department of Psychiatry, The Second People’s Hospital of Jiangning District, Nanjing, Jiangsu, China
| | - Xinming Pan
- Department of Psychiatry, The Second People’s Hospital of Jiangning District, Nanjing, Jiangsu, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yue Xu
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Jensen SB, Sheikh MA, Akkouh IA, Szabo A, O’Connell KS, Lekva T, Engh JA, Agartz I, Elvsåshagen T, Ormerod MBEG, Weibell MA, Johnsen E, Kroken RA, Melle I, Drange OK, Nærland T, Vaaler AE, Westlye LT, Aukrust P, Djurovic S, Eiel Steen N, Andreassen OA, Ueland T. Elevated Systemic Levels of Markers Reflecting Intestinal Barrier Dysfunction and Inflammasome Activation Are Correlated in Severe Mental Illness. Schizophr Bull 2023; 49:635-645. [PMID: 36462169 PMCID: PMC10154716 DOI: 10.1093/schbul/sbac191] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Abstract
BACKGROUND AND HYPOTHESIS Gut microbiota alterations have been reported in severe mental illness (SMI) but fewer studies have probed for signs of gut barrier disruption and inflammation. We hypothesized that gut leakage of microbial products due to intestinal inflammation could contribute to systemic inflammasome activation in SMI. STUDY DESIGN We measured plasma levels of the chemokine CCL25 and soluble mucosal vascular addressin cell adhesion molecule-1 (sMAdCAM-1) as markers of T cell homing, adhesion and inflammation in the gut, lipopolysaccharide binding protein (LBP) and intestinal fatty acid binding protein (I-FABP) as markers of bacterial translocation and gut barrier dysfunction, in a large SMI cohort (n = 567) including schizophrenia (SCZ, n = 389) and affective disorder (AFF, n = 178), relative to healthy controls (HC, n = 418). We assessed associations with plasma IL-18 and IL-18BPa and leukocyte mRNA expression of NLRP3 and NLRC4 as markers of inflammasome activation. STUDY RESULTS Our main findings were: (1) higher levels of sMAdCAM-1 (P = .002), I-FABP (P = 7.6E-11), CCL25 (P = 9.6E-05) and LBP (P = 2.6E-04) in SMI compared to HC in age, sex, BMI, CRP and freezer storage time adjusted analysis; (2) the highest levels of sMAdCAM-1 and CCL25 (both P = 2.6E-04) were observed in SCZ and I-FABP (P = 2.5E-10) and LBP (3) in AFF; and (3), I-FABP correlated with IL-18BPa levels and LBP correlated with NLRC4. CONCLUSIONS Our findings support that intestinal barrier inflammation and dysfunction in SMI could contribute to systemic inflammation through inflammasome activation.
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Affiliation(s)
- Søren B Jensen
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - Mashhood A Sheikh
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - Ibrahim A Akkouh
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, NORMENT, Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Attila Szabo
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, NORMENT, Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- K.G. Jebsen Center for Neurodevelopmental disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kevin S O’Connell
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, NORMENT, Oslo University Hospital, Oslo, Norway
| | - Tove Lekva
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - John A Engh
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, NORMENT, Oslo University Hospital, Oslo, Norway
- Division of Mental health and Addiction, Vestfold Hospital Trust, Tønsberg, Norway
| | - Ingrid Agartz
- K.G. Jebsen Center for Neurodevelopmental disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet and Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Torbjørn Elvsåshagen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, NORMENT, Oslo University Hospital, Oslo, Norway
| | - Monica B E G Ormerod
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, NORMENT, Oslo University Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Melissa A Weibell
- Division of Psychiatry, Network for Clinical Psychosis Research, Stavanger University Hospital, Stavanger, Norway
- Network for Medical Sciences, Faculty of Health, University of Stavanger, Stavanger, Norway
| | - Erik Johnsen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- NORMENT Center of Excellence, University of Bergen and Haukeland University Hospital, Bergen, Norway
| | - Rune A Kroken
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- NORMENT Center of Excellence, University of Bergen and Haukeland University Hospital, Bergen, Norway
| | - Ingrid Melle
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, NORMENT, Oslo University Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole K Drange
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Østmarka, Division of Mental Health, St. Olavs University Hospital, Trondheim, Norway
- Department of Psychiatry, Sørlandet Hospital, Kristiansand, Norway
| | - Terje Nærland
- K.G. Jebsen Center for Neurodevelopmental disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Rare Disorders, Division of Child and Adolescent medicine, Oslo University Hospital, Oslo, Norway
| | - Arne E Vaaler
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Østmarka, Division of Mental Health, St. Olavs University Hospital, Trondheim, Norway
| | - Lars T Westlye
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, NORMENT, Oslo University Hospital, Oslo, Norway
- K.G. Jebsen Center for Neurodevelopmental disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Pål Aukrust
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
- Section of Clinical Immunology and Infectious Diseases, Oslo University Hospital Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Srdjan Djurovic
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, NORMENT, Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- K.G. Jebsen Center for Neurodevelopmental disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Nils Eiel Steen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, NORMENT, Oslo University Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, NORMENT, Oslo University Hospital, Oslo, Norway
- K.G. Jebsen Center for Neurodevelopmental disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Thor Ueland
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- K.G. Jebsen Thrombosis Research and Expertise Center, University of Tromsø, Tromsø, Norway
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Gokulakrishnan K, Nikhil J, Viswanath B, Thirumoorthy C, Narasimhan S, Devarajan B, Joseph E, David AKD, Sharma S, Vasudevan K, Sreeraj VS, Holla B, Shivakumar V, Debnath M, Venkatasubramanian G, Varambally S. Comparison of gut microbiome profile in patients with schizophrenia and healthy controls - A plausible non-invasive biomarker? J Psychiatr Res 2023; 162:140-149. [PMID: 37156128 DOI: 10.1016/j.jpsychires.2023.05.021] [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: 03/09/2023] [Revised: 04/26/2023] [Accepted: 05/01/2023] [Indexed: 05/10/2023]
Abstract
The human gut microbiome regulates brain function through the microbiome-gut-brain axis and is implicated in several neuropsychiatric disorders. However, the relationship between the gut microbiome and the pathogenesis of schizophrenia (SCZ) is poorly defined, and very few studies have examined the effect of antipsychotic treatment response. We aim to study the differences in the gut microbiota among drug-naïve (DN SCZ) and risperidone-treated SCZ patients (RISP SCZ), compared to healthy controls (HCs). We recruited a total of 60 participants, from the clinical services of a large neuropsychiatric hospital, which included DN SCZ, RISP SCZ and HCs (n = 20 each). Fecal samples were analyzed using 16s rRNA sequencing in this cross-sectional study. No significant differences were found in taxa richness (alpha diversity) but microbial composition differed between SCZ patients (both DN and RISP) and HCs (PERMANOVA, p = 0.02). Linear Discriminant Analysis Effect Size (LEfSe) and Random Forest model identified the top six genera, which significantly differed in abundance between the study groups. A specific genus-level microbial panel of Ruminococcus, UCG005, Clostridium_sensu_stricto_1 and Bifidobacterium could discriminate SCZ patients from HCs with an area under the curve (AUC) of 0.79, HCs vs DN SCZ (AUC: 0.68), HCs vs RISP SCZ (AUC: 0.93) and DN SCZ vs RISP SCZ (AUC: 0.87). Our study identified distinct microbial signatures that could aid in the differentiation of DN SCZ, RISP SCZ, and HCs. Our findings contribute to a better understanding of the role of the gut microbiome in SCZ pathophysiology and suggest potential targeted interventions.
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Affiliation(s)
- Kuppan Gokulakrishnan
- Department of Neurochemistry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India.
| | - Joyappa Nikhil
- Department of Neurochemistry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
| | - Biju Viswanath
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
| | - Chinnasamy Thirumoorthy
- Department of Neurochemistry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
| | - Sandhya Narasimhan
- Department of Neurochemistry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
| | - Bharanidharan Devarajan
- Department of Bioinformatics, Aravind Medical Research Foundation, Madurai, Tamil Nadu, India
| | - Ebin Joseph
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
| | - Arul Kevin Daniel David
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
| | - Sapna Sharma
- Chair of Food Chemistry and Molecular Sensory Science, Technische Universität München, Lise-Meitner-Str. 34, 85354, Freising, Germany
| | - Kavitha Vasudevan
- Department of Foods, Nutrition & Dietetics Research, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Vanteemar S Sreeraj
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
| | - Bharath Holla
- Department of Integrative Medicine, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
| | - Venkataram Shivakumar
- Department of Integrative Medicine, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
| | - Monojit Debnath
- Department of Human Genetics, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
| | - Shivarama Varambally
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India; Department of Integrative Medicine, National Institute of Mental Health and Neuro Sciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India
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50
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Wang Q, Wu S, Ye X, Tan S, Huang F, Su G, Kijlstra A, Yang P. Gut microbial signatures and their functions in Behcet's uveitis and Vogt-Koyanagi-Harada disease. J Autoimmun 2023; 137:103055. [PMID: 37208257 DOI: 10.1016/j.jaut.2023.103055] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/27/2023] [Accepted: 05/03/2023] [Indexed: 05/21/2023]
Abstract
BACKGROUND A number of public metagenomic studies reveal an association between the gut microbiome and various immune-mediated diseases including Behcet's uveitis (BU) and Vogt-Koyanagi-Harada disease (VKH). Integrated-analysis and subsequent validation of these results could be a potentially powerful way to understand the microbial signatures and their functions in these two uveitis entities. METHODS We integrated the sequencing data of our previous metagenomic studies on two major uveitis entities, BU and VKH as well as four other publicly available immune-mediated diseases datasets, including Ankylosing Spondylitis (AS), Rheumatoid Arthritis (RA), Crohn's disease (CD) and Ulcerative Colitis (UC). Alpha-diversity and beta-diversity analysis were used to compare the gut microbiome signatures between both uveitis entities and other immune-mediated diseases and healthy controls. Amino acid homology between microbial proteins and a uveitogenic peptide of the interphotoreceptor retinoid-binding protein (IRBP)161-180 was investigated using a similarity search in the NCBI protein BLAST program (BLASTP). Enzyme-linked Immunosorbent Assay (ELISA) was performed to evaluate the cross-reactive responses of experimental autoimmune uveitis (EAU)-derived lymphocytes and BU patients-derived peripheral blood mononuclear cells (PBMCs) against homologous peptides. The area under the curve (AUC) analysis was used to test the sensitivity and specificity of gut microbial biomarkers. RESULTS Depleted Dorea, Blautia, Coprococcus, Erysipelotrichaceae and Lachnospiraceae as well as enriched Bilophila and Stenotrophomonas were identified in BU patients. An enriched Alistipes along with a lower level of Dorea were observed in VKH patients. A peptide antigen (SteTDR) encoded by BU specifically enriched Stenotrophomonas was identified to share homology with IRBP161-180. In vitro experiments showed that lymphocytes from EAU or PBMCs from BU patients reacted to this peptide antigen as shown by the production of IFN-γ and IL-17. Addition of the SteTDR peptide to the classical IRBP immunization protocol exacerbated EAU severity. Gut microbial marker profiles consisted of 24 species and 32 species respectively differentiated BU and VKH from each other as well as from the other four immune-mediated diseases and healthy controls. Protein annotation identified 148 and 119 specific microbial proteins associated with BU and VKH, respectively. For metabolic function analysis, 108 and 178 metabolic pathways were shown to be associated with BU and VKH, respectively. CONCLUSIONS Our study revealed specific gut microbial signatures and their potentially functional roles in BU and VKH pathogenesis that differ significantly from other immune-mediated diseases as well as healthy controls.
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Affiliation(s)
- Qingfeng Wang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Shuang Wu
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, Nanning, People's Republic of China
| | - Xingsheng Ye
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Shiyao Tan
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Fanfan Huang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Guannan Su
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China
| | - Aize Kijlstra
- University Eye Clinic Maastricht, Maastricht, the Netherlands
| | - Peizeng Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ophthalmology, Chongqing Eye Institute, Chongqing Branch (Municipality Division) of National Clinical Research Center for Ocular Diseases, Chongqing, People's Republic of China.
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