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Sekeresova Kralova J, Donic C, Dassa B, Livyatan I, Jansen PM, Ben-Dor S, Fidel L, Trzebanski S, Narunsky-Haziza L, Asraf O, Brenner O, Dafni H, Jona G, Boura-Halfon S, Stettner N, Segal E, Brunke S, Pilpel Y, Straussman R, Zeevi D, Bacher P, Hube B, Shlezinger N, Jung S. Competitive fungal commensalism mitigates candidiasis pathology. J Exp Med 2024; 221:e20231686. [PMID: 38497819 PMCID: PMC10949073 DOI: 10.1084/jem.20231686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 01/17/2024] [Accepted: 02/14/2024] [Indexed: 03/19/2024] Open
Abstract
The mycobiota are a critical part of the gut microbiome, but host-fungal interactions and specific functional contributions of commensal fungi to host fitness remain incompletely understood. Here, we report the identification of a new fungal commensal, Kazachstania heterogenica var. weizmannii, isolated from murine intestines. K. weizmannii exposure prevented Candida albicans colonization and significantly reduced the commensal C. albicans burden in colonized animals. Following immunosuppression of C. albicans colonized mice, competitive fungal commensalism thereby mitigated fatal candidiasis. Metagenome analysis revealed K. heterogenica or K. weizmannii presence among human commensals. Our results reveal competitive fungal commensalism within the intestinal microbiota, independent of bacteria and immune responses, that could bear potential therapeutic value for the management of C. albicans-mediated diseases.
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Affiliation(s)
| | - Catalina Donic
- Departments of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Bareket Dassa
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Ilana Livyatan
- Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Paul Mathias Jansen
- Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology—Hans Knoell Institute Jena (HKI), Jena, Germany
| | - Shifra Ben-Dor
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Lena Fidel
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Sébastien Trzebanski
- Departments of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot, Israel
| | | | - Omer Asraf
- Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Ori Brenner
- Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Hagit Dafni
- Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Ghil Jona
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Sigalit Boura-Halfon
- Departments of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Noa Stettner
- Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Sascha Brunke
- Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology—Hans Knoell Institute Jena (HKI), Jena, Germany
| | - Yitzhak Pilpel
- Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Ravid Straussman
- Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - David Zeevi
- Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Petra Bacher
- Institute of Immunology, Christian-Albrecht-University of Kiel, Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrecht-University of Kiel, Kiel, Germany
| | - Bernhard Hube
- Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology—Hans Knoell Institute Jena (HKI), Jena, Germany
- Institute of Microbiology, Friedrich Schiller University, Jena, Germany
| | - Neta Shlezinger
- The Robert H. Smith Faculty of Agriculture, Food and Environment The Hebrew University of Jerusalem, Rehovot, Israel
| | - Steffen Jung
- Departments of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot, Israel
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2
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Gupta R, Advani D, Yadav D, Ambasta RK, Kumar P. Dissecting the Relationship Between Neuropsychiatric and Neurodegenerative Disorders. Mol Neurobiol 2023; 60:6476-6529. [PMID: 37458987 DOI: 10.1007/s12035-023-03502-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 07/11/2023] [Indexed: 09/28/2023]
Abstract
Neurodegenerative diseases (NDDs) and neuropsychiatric disorders (NPDs) are two common causes of death in elderly people, which includes progressive neuronal cell death and behavioral changes. NDDs include Alzheimer's disease, Parkinson's disease, Huntington's disease, amyotrophic lateral sclerosis, multiple sclerosis, and motor neuron disease, characterized by cognitive defects and memory impairment, whereas NPDs include depression, seizures, migraine headaches, eating disorders, addictions, palsies, major depressive disorders, anxiety, and schizophrenia, characterized by behavioral changes. Mounting evidence demonstrated that NDDs and NPDs share an overlapping mechanism, which includes post-translational modifications, the microbiota-gut-brain axis, and signaling events. Mounting evidence demonstrated that various drug molecules, namely, natural compounds, repurposed drugs, multitarget directed ligands, and RNAs, have been potentially implemented as therapeutic agents against NDDs and NPDs. Herein, we highlighted the overlapping mechanism, the role of anxiety/stress-releasing factors, cytosol-to-nucleus signaling, and the microbiota-gut-brain axis in the pathophysiology of NDDs and NPDs. We summarize the therapeutic application of natural compounds, repurposed drugs, and multitarget-directed ligands as therapeutic agents. Lastly, we briefly described the application of RNA interferences as therapeutic agents in the pathogenesis of NDDs and NPDs. Neurodegenerative diseases and neuropsychiatric diseases both share a common signaling molecule and molecular phenomenon, namely, pro-inflammatory cytokines, γCaMKII and MAPK/ERK, chemokine receptors, BBB permeability, and the gut-microbiota-brain axis. Studies have demonstrated that any alterations in the signaling mentioned above molecules and molecular phenomena lead to the pathophysiology of neurodegenerative diseases, namely, Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis, and neuropsychiatric disorders, such as bipolar disorder, schizophrenia, depression, anxiety, autism spectrum disorder, and post-traumatic stress disorder.
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Affiliation(s)
- Rohan Gupta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Bawana Road, New Delhi, Delhi, 110042, India
| | - Dia Advani
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Bawana Road, New Delhi, Delhi, 110042, India
| | - Divya Yadav
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Bawana Road, New Delhi, Delhi, 110042, India
| | - Rashmi K Ambasta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Bawana Road, New Delhi, Delhi, 110042, India
| | - Pravir Kumar
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, Shahbad Daulatpur, Bawana Road, New Delhi, Delhi, 110042, India.
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Chen G, Zhou X, Zhu Y, Shi W, Kong L. Gut microbiome characteristics in subjective cognitive decline, mild cognitive impairment and Alzheimer's disease: a systematic review and meta-analysis. Eur J Neurol 2023; 30:3568-3580. [PMID: 37399128 DOI: 10.1111/ene.15961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 05/08/2023] [Accepted: 06/28/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND AND PURPOSE The gut microbiome has been reported to be closely related to Alzheimer's disease (AD) progression. Here, a comprehensive meta-analysis of gut microbial characteristics in AD, mild cognitive impairment (MCI) and subjective cognitive decline (SCD) was performed to compare gut microbial alterations at each stage. METHODS A total of 10 databases (CNKI, WanFang, VIP, SinoMed, WOS, PubMed, Embase, Cochrane Library, PsycINFO and Void) were searched and 34 case-control studies were included. α and β diversity and the relative abundance of gut microbiota were analysed as outcome indices. Data analysis was performed using Review Manager (5.4.1) and R. RESULTS Chao1 and Shannon index levels in AD were significantly lower compared with healthy controls (HCs), and the Chao1 index was significantly lower in MCI compared with HCs. There was a significant difference in β diversity of gut microbiomes in patients (SCD, MCI, AD) compared with HCs. The relative abundance of Firmicutes at the phylum level was significantly lower in patients with AD and MCI than HCs. However, the relative abundance of Bacteroidetes at the phylum level was significantly higher in patients with MCI than HCs. There was an increasing trend for Enterobacteriaceae and a decreasing trend for Ruminococcaceae, Lachnospiraceae and Lactobacillus during AD; Lactobacillus showed a decreasing trend early in SCD. CONCLUSION Our results indicated that there were gut microbiological abnormalities in AD, even as early as the SCD stage. The dynamic, consistent changes in gut microbes with the disease process showed that they might serve as potential biomarkers for early identification and diagnosis of AD.
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Affiliation(s)
- Guanlin Chen
- Department of Psychology, Shanghai Normal University, Shanghai, China
| | - Xiaoqi Zhou
- Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China
| | - Yikang Zhu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wendian Shi
- Department of Psychology, Shanghai Normal University, Shanghai, China
| | - Li Kong
- Department of Psychology, Shanghai Normal University, Shanghai, China
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5
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Lai S, Yan Y, Pu Y, Lin S, Qiu JG, Jiang BH, Keller MI, Wang M, Bork P, Chen WH, Zheng Y, Zhao XM. Enterotypes of the human gut mycobiome. Microbiome 2023; 11:179. [PMID: 37563687 PMCID: PMC10416509 DOI: 10.1186/s40168-023-01586-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 05/31/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND The fungal component of the human gut microbiome, also known as the mycobiome, plays a vital role in intestinal ecology and human health. However, the overall structure of the gut mycobiome as well as the inter-individual variations in fungal composition remains largely unknown. In this study, we collected a total of 3363 fungal sequencing samples from 16 cohorts across three continents, including 572 newly profiled samples from China. RESULTS We identify and characterize four mycobiome enterotypes using ITS profiling of 3363 samples from 16 cohorts. These enterotypes exhibit stability across populations and geographical locations and significant correlation with bacterial enterotypes. Particularly, we notice that fungal enterotypes have a strong age preference, where the enterotype dominated by Candida (i.e., Can_type enterotype) is enriched in the elderly population and confers an increased risk of multiple diseases associated with a compromised intestinal barrier. In addition, bidirectional mediation analysis reveals that the fungi-contributed aerobic respiration pathway associated with the Can_type enterotype might mediate the association between the compromised intestinal barrier and aging. CONCLUSIONS We show that the human gut mycobiome has stable compositional patterns across individuals and significantly correlates with multiple host factors, such as diseases and host age. Video Abstract.
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Affiliation(s)
- Senying Lai
- Department of Neurology, Zhongshan Hospital and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Yan Yan
- CAS Key Laboratory of Molecular Virology and Immunology, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Yanni Pu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Shuchun Lin
- The Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Jian-Ge Qiu
- The Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Bing-Hua Jiang
- The Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Marisa Isabell Keller
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany
| | - Mingyu Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Peer Bork
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
- Max Delbrück Centre for Molecular Medicine, Berlin, Germany.
- Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany.
| | - Wei-Hua Chen
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.
- College of Life Science, Henan Normal University, Xinxiang, Henan, China.
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.
| | - Xing-Ming Zhao
- Department of Neurology, Zhongshan Hospital and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Zhejiang Province, China.
- MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
- State Key Laboratory of Medical Neurobiology, Institutes of Brain Science, Fudan University, Shanghai, China.
- International Human Phenome Institutes (Shanghai), Shanghai, China.
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6
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Nguyen NM, Cho J, Lee C. Gut Microbiota and Alzheimer's Disease: How to Study and Apply Their Relationship. Int J Mol Sci 2023; 24:ijms24044047. [PMID: 36835459 PMCID: PMC9958597 DOI: 10.3390/ijms24044047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/06/2023] [Accepted: 02/14/2023] [Indexed: 02/19/2023] Open
Abstract
Gut microbiota (GM), the microorganisms in the gastrointestinal tract, contribute to the regulation of brain homeostasis through bidirectional communication between the gut and the brain. GM disturbance has been discovered to be related to various neurological disorders, including Alzheimer's disease (AD). Recently, the microbiota-gut-brain axis (MGBA) has emerged as an enticing subject not only to understand AD pathology but also to provide novel therapeutic strategies for AD. In this review, the general concept of the MGBA and its impacts on the development and progression of AD are described. Then, diverse experimental approaches for studying the roles of GM in AD pathogenesis are presented. Finally, the MGBA-based therapeutic strategies for AD are discussed. This review provides concise guidance for those who wish to obtain a conceptual and methodological understanding of the GM and AD relationship with an emphasis on its practical application.
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Zhang F, Aschenbrenner D, Yoo JY, Zuo T. The gut mycobiome in health, disease, and clinical applications in association with the gut bacterial microbiome assembly. Lancet Microbe 2022; 3:e969-e983. [PMID: 36182668 DOI: 10.1016/s2666-5247(22)00203-8] [Citation(s) in RCA: 72] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 07/04/2022] [Accepted: 07/11/2022] [Indexed: 02/06/2023]
Abstract
The gut mycobiome (fungi) is a small but crucial component of the gut microbiome in humans. Intestinal fungi regulate host homoeostasis, pathophysiological and physiological processes, and the assembly of the co-residing gut bacterial microbiome. Over the past decade, accumulating studies have characterised the gut mycobiome in health and several pathological conditions. We review the compositional and functional diversity of the gut mycobiome in healthy populations from birth to adulthood. We describe factors influencing the gut mycobiome and the roles of intestinal fungi-especially Candida and Saccharomyces spp-in diseases and therapies with a particular focus on their synergism with the gut bacterial microbiome and host immunity. Finally, we discuss the underappreciated effects of gut fungi in clinical implications, and highlight future microbiome-based therapies that harness the tripartite relationship among the gut mycobiome, bacterial microbiome, and host immunity, aiming to restore a core gut mycobiome and microbiome and to improve clinical efficacy.
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Affiliation(s)
- Fen Zhang
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, Jinan University, Guangzhou, China
| | - Dominik Aschenbrenner
- Autoimmunity, Transplantation and Inflammation, Novartis Institutes for BioMedical Research, Novartis Pharma, Basel, Switzerland
| | - Ji Youn Yoo
- College of Nursing, University of Tennessee, Knoxville, TN, USA
| | - Tao Zuo
- Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yatsen University, Sun Yat-sen University, Guangzhou, China; Laboratory Animals Centre, Zhongshan School of Medicine, Sun Yatsen University, Guangzhou, China.
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8
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Xia X, Chen J, Cheng Y, Chen F, Lu H, Liu J, Wang L, Pu F, Wang Y, Liu H, Cao D, Zhang Z, Xia Z, Fan M, Ling Z, Zhao L. Comparative analysis of the lung microbiota in patients with respiratory infections, tuberculosis, and lung cancer: A preliminary study. Front Cell Infect Microbiol 2022; 12:1024867. [PMID: 36389135 PMCID: PMC9663837 DOI: 10.3389/fcimb.2022.1024867] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 10/06/2022] [Indexed: 11/29/2022] Open
Abstract
Recent evidence suggests that lung microbiota can be recognized as one of the ecological determinants of various respiratory diseases. However, alterations in the lung microbiota and associated lung immunity in these respiratory diseases remain unclear. To compare the lung microbiota and lung immune profiles in common respiratory diseases, a total of 78 patients were enrolled in the present study, including 21 patients with primary pulmonary tuberculosis (PTB), eight patients with newly diagnosed lung cancer (LC), and 49 patients with community-acquired pneumonia (CAP). Bronchoalveolar lavage fluid (BALF) was collected for microbiota and cytokine analyses. With MiSeq sequencing system, increased bacterial alpha-diversity and richness were observed in patients with LC than in those with PTB and CAP. Linear discriminant analysis effect size revealed that CAP-associated pulmonary microbiota were significantly different between the PTB and LC groups. More key functionally different genera were found in the PTB and LC groups than in the CAP group. The interaction network revealed stronger positive and negative correlations among these genera in the LC group than in the other two groups. However, increased BALF cytokine profiles were observed in the PTB group than in the other two groups, while BALF cytokines were correlated with key functional bacteria. This comparative study provides evidence for the associations among altered lung microbiota, BALF inflammation, and different respiratory disorders, which provides insight into the possible roles and mechanisms of pulmonary microbiota in the progression of respiratory disorders.
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Affiliation(s)
- Xiaoxue Xia
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Jiang Chen
- Department of Neurosurgery, Changxing People’s Hospital, Huzhou, 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, Hangzhou, China,Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
| | - Feng Chen
- 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, Hangzhou, China
| | - Huoquan Lu
- Department of Respiratory, Changxing People’s Hospital, Huzhou, China
| | - Jianfeng Liu
- Department of Respiratory, Changxing People’s Hospital, Huzhou, China
| | - Ling Wang
- Department of Laboratory Medicine, Lishui Second People’s Hospital, Lishui, China
| | - Fengxia Pu
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Ying Wang
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Hua Liu
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Daxing Cao
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Zhengye Zhang
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Zeping Xia
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - Meili Fan
- Department of Infectious Diseases, Changxing People’s Hospital, Huzhou, China
| | - 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, Hangzhou, China,Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China,*Correspondence: Zongxin Ling, ; Longyou Zhao,
| | - Longyou Zhao
- Department of Laboratory Medicine, Lishui Second People’s Hospital, Lishui, China,*Correspondence: Zongxin Ling, ; Longyou Zhao,
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9
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Ling Z, Cheng Y, Chen F, Yan X, Liu X, Shao L, Jin G, Zhou D, Jiang G, Li H, Zhao L, Song Q. Changes in fecal microbiota composition and the cytokine expression profile in school-aged children with depression: A case-control study. Front Immunol 2022; 13:964910. [PMID: 36059521 PMCID: PMC9437487 DOI: 10.3389/fimmu.2022.964910] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
Depression in childhood negatively affects the growth and development, school performance, and peer or family relationships of affected children, and may even lead to suicide. Despite this, its etiology and pathophysiology remain largely unknown. Increasing evidence supports that gut microbiota plays a vital role in the development of childhood depression. However, little is known about the underlying mechanisms, as most clinical studies investigating the link between gut microbiota and depression have been undertaken in adult cohorts. In present study, a total of 140 school-aged children (6–12 years) were enrolled, including 92 with depression (male/female: 42/50) and 48 healthy controls (male/female: 22/26) from Lishui, Zhejiang, China. Illumina sequencing of the V3–V4 region of the 16S rRNA gene was used to investigate gut microbiota profiles while Bio-Plex Pro Human Cytokine 27-plex Panel was employed to explore host immune response. We found that, compared with healthy controls, children with depression had greater bacterial richness and altered β-diversity. Pro-inflammatory genera such as Streptococcus were enriched in the depression group, whereas anti-inflammatory genera such as Faecalibacterium were reduced, as determined by linear discriminant analysis effect size. These changes corresponded to altered bacterial functions, especially the production of immunomodulatory metabolites. We also identified the presence of a complex inflammatory condition in children with depression, characterized by increased levels of pro-inflammatory cytokines such as IL-17 and decreased levels of anti-inflammatory cytokines such as IFN-γ. Correlation analysis demonstrated that the differential cytokine abundance was closely linked to changes in gut microbiota of children with depression. In summary, key functional genera, such as Streptococcus and Faecalibacterium, alone or in combination, could serve as novel and powerful non-invasive biomarkers to distinguish between children with depression from healthy ones. This study was the first to demonstrate that, in Chinese children with depression, gut microbiota homeostasis is disrupted, concomitant with the activation of a complex pro-inflammatory response. These findings suggest that gut microbiota might play an important role in the pathogenesis of depression in school-aged children, while key functional bacteria in gut may serve as novel targets for non-invasive diagnosis and patient-tailored early precise intervention in children with depression.
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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, Hangzhou, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
- *Correspondence: Zongxin Ling, ; Longyou Zhao, ; Qinghai Song,
| | - 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, Hangzhou, China
| | - Feng Chen
- 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, Hangzhou, China
| | - Xiumei Yan
- Department of Laboratory Medicine, Lishui Second People’s Hospital, Lishui, China
| | - Xia Liu
- Department of Intensive Care Unit, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Li Shao
- Institute of Hepatology and Metabolic Diseases, Hangzhou Normal University, Hangzhou, China
- Institute of Translational Medicine, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Guolin Jin
- Department of Psychiatry, Lishui Second People’s Hospital, Lishui, China
| | - Dajin Zhou
- Department of Laboratory Medicine, Lishui Second People’s Hospital, Lishui, China
| | - Guizhen Jiang
- Department of Laboratory Medicine, Lishui Second People’s Hospital, Lishui, China
| | - He Li
- Department of Psychiatry, Lishui Second People’s Hospital, Lishui, China
| | - Longyou Zhao
- Department of Laboratory Medicine, Lishui Second People’s Hospital, Lishui, China
- *Correspondence: Zongxin Ling, ; Longyou Zhao, ; Qinghai Song,
| | - Qinghai Song
- Department of Psychiatry, Lishui Second People’s Hospital, Lishui, China
- *Correspondence: Zongxin Ling, ; Longyou Zhao, ; Qinghai Song,
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10
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Ye T, Yuan S, Kong Y, Yang H, Wei H, Zhang Y, Jin H, Yu Q, Liu J, Chen S, Sun J. Effect of Probiotic Fungi against Cognitive Impairment in Mice via Regulation of the Fungal Microbiota-Gut-Brain Axis. J Agric Food Chem 2022; 70:9026-9038. [PMID: 35833673 DOI: 10.1021/acs.jafc.2c03142] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The fungal microbiota may be involved in the regulation of cognition and behavior, while the role of probiotic fungi against cognitive impairment is unclear. Here, we explored the idea that probiotic Saccharomyces boulardii could participate in the regulation of microglia-induced neuroinflammation in Alzheimer's disease (AD) model mice. Cognitive deficits, deposits of amyloid-β (Aβ) and phosphorylation of tau, synaptic plasticity, microglia activation, and neuroinflammatory reactions were observed. The expression levels of Toll-like receptors (TLRs) pathway-related proteins were detected. Meanwhile, intestinal barrier integrity and fungal microbiota composition were evaluated. Our results showed fungal microbiota dysbiosis in APP/PS1 mice, which might result in the neuroinflammation of AD. The increased levels of interleukin (IL)-6, IL-1β, and cluster of differentiation 11b (CD11b) were observed in APP/PS1 mice, which were associated with activation of microglia, indicative of a broader recognition of neuroinflammation mediated by fungal microbiota compared to hitherto appreciated. Probiotic S. boulardii treatment improved dysbiosis, alleviated the neuroinflammation as well as synaptic injury, and ultimately improved cognitive impairment. Moreover, S. boulardii therapy could inhibit microglia activation and the TLRs pathway, which were reversed by antifungal treatment. These findings revealed that S. boulardii actively participated in regulating the TLRs pathway to inhibit the neuroinflammation via the gut-brain axis.
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Affiliation(s)
- Tao Ye
- Department of Geriatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Shushu Yuan
- Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Yu Kong
- Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Huiqun Yang
- Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Hongming Wei
- Department of Geriatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Yuhe Zhang
- Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Hangqi Jin
- Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Qingxia Yu
- Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Jiaming Liu
- Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Songfang Chen
- Department of Neurology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Jing Sun
- Department of Geriatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
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11
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Parker A, James SA, Purse C, Brion A, Goldson A, Telatin A, Baker D, Carding SR. Absence of Bacteria Permits Fungal Gut-To-Brain Translocation and Invasion in Germfree Mice but Ageing Alone Does Not Drive Pathobiont Expansion in Conventionally Raised Mice. Front Aging Neurosci 2022; 14:828429. [PMID: 35923548 PMCID: PMC9339909 DOI: 10.3389/fnagi.2022.828429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Age-associated changes in the structure of the intestinal microbiome and in its interaction with the brain via the gut-brain axis are increasingly being implicated in neurological and neurodegenerative diseases. Intestinal microbial dysbiosis and translocation of microbes and microbial products including fungal species into the brain have been implicated in the development of dementias such as Alzheimer's disease. Using germ-free mice, we investigated if the fungal gut commensal, Candida albicans, an opportunistic pathogen in humans, can traverse the gastrointestinal barrier and disseminate to brain tissue and whether ageing impacts on the gut mycobiome as a pre-disposing factor in fungal brain infection. C. albicans was detected in different regions of the brain of colonised germ-free mice in both yeast and hyphal cell forms, often in close association with activated (Iba-1+) microglial cells. Using high-throughput ITS1 amplicon sequencing to characterise the faecal gut fungal composition of aged and young SPF mice, we identified several putative gut commensal fungal species with pathobiont potential although their abundance was not significantly different between young and aged mice. Collectively, these results suggest that although some fungal species can travel from the gut to brain where they can induce an inflammatory response, ageing alone is not correlated with significant changes in gut mycobiota composition which could predispose to these events. These results are consistent with a scenario in which significant disruptions to the gut microbiota or intestinal barrier, beyond those which occur with natural ageing, are required to allow fungal escape and brain infection.
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Affiliation(s)
- Aimée Parker
- Gut Microbes and Health Research Programme, Quadram Institute, Norwich, United Kingdom
| | - Steve A. James
- Gut Microbes and Health Research Programme, Quadram Institute, Norwich, United Kingdom
| | - Catherine Purse
- Gut Microbes and Health Research Programme, Quadram Institute, Norwich, United Kingdom
| | - Arlaine Brion
- Gut Microbes and Health Research Programme, Quadram Institute, Norwich, United Kingdom
| | - Andrew Goldson
- Gut Microbes and Health Research Programme, Quadram Institute, Norwich, United Kingdom
| | - Andrea Telatin
- Gut Microbes and Health Research Programme, Quadram Institute, Norwich, United Kingdom
| | - David Baker
- Gut Microbes and Health Research Programme, Quadram Institute, Norwich, United Kingdom
| | - Simon R. Carding
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
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12
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Ling Z, Jin G, Yan X, Cheng Y, Shao L, Song Q, Liu X, Zhao L. Fecal Dysbiosis and Immune Dysfunction in Chinese Elderly Patients With Schizophrenia: An Observational Study. Front Cell Infect Microbiol 2022; 12:886872. [PMID: 35719348 PMCID: PMC9198589 DOI: 10.3389/fcimb.2022.886872] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 04/29/2022] [Indexed: 12/22/2022] Open
Abstract
Schizophrenia (SZ) is a severe neuropsychiatric disorder with largely unknown etiology and pathogenesis. Mounting preclinical and clinical evidence suggests that the gut microbiome is a vital player in SZ. However, the gut microbiota characteristics and its host response in elderly SZ patients are still not well understood. A total of 161 samples was collected, including 90 samples from elderly SZ patients and 71 samples from healthy controls. We explored the gut microbiota profiles targeting the V3–V4 region of the 16S rRNA gene by MiSeq sequencing, and to analyze their associations with host immune response. Our data found that bacterial β-diversity analyses could divide the SZ patients and healthy controls into two different clusters. The Linear discriminant analysis Effect Size (LEfSe) identified the compositional changes in SZ-associated bacteria, including Faecalibacterium, Roseburia, Actinomyces, Butyricicoccus, Prevotella and so on. In addition, the levels of pro-inflammatory cytokines such as IL-1β were greatly increased in SZ patients while the levels of anti-inflammatory cytokines such as IFN-γ were markedly decreased. Correlation analysis suggested that these bacteria contributed to immune disturbances in the host that could be used as non-invasive biomarkers to distinguish the SZ patients from healthy controls. Moreover, several predicted functional modules, including increased lipopolysaccharide biosynthesis, folate biosynthesis, lipoic acid metabolism, and decreased bile acid biosynthesis, fatty acid biosynthesis in SZ-associated microbiota, could be utilized by the bacteria to produce immunomodulatory metabolites. This study, for the first time, demonstrated the structural and functional dysbiosis of the fecal microbiota in Chinese elderly SZ patients, suggesting the potential for using gut key functional bacteria for the early, non-invasive diagnosis of SZ, personalized treatment, and the development of tailor-made probiotics designed for Chinese elderly SZ patients.
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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, Hangzhou, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
- *Correspondence: Zongxin Ling, ; Xia Liu, ; Longyou Zhao,
| | - Guolin Jin
- Department of Psychiatry, Lishui Second People’s Hospital, Lishui, China
| | - Xiumei Yan
- Department of Laboratory Medicine, Lishui Second People’s Hospital, Lishui, China
| | - Yiwen Cheng
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
| | - Li Shao
- Institute of Hepatology and Metabolic Diseases, Hangzhou Normal University, Hangzhou, China
- Institute of Translational Medicine, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Qinghai Song
- Department of Psychiatry, Lishui Second People’s Hospital, Lishui, China
| | - Xia Liu
- Department of Intensive Care Unit, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- *Correspondence: Zongxin Ling, ; Xia Liu, ; Longyou Zhao,
| | - Longyou Zhao
- Department of Laboratory Medicine, Lishui Second People’s Hospital, Lishui, China
- *Correspondence: Zongxin Ling, ; Xia Liu, ; Longyou Zhao,
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13
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Abstract
Huntington's disease (HD) is a neurodegenerative disorder caused by a trinucleotide expansion in the HTT gene, which is expressed throughout the brain and body, including the gut epithelium and enteric nervous system. Afflicted individuals suffer from progressive impairments in motor, psychiatric, and cognitive faculties, as well as peripheral deficits, including the alteration of the gut microbiome. However, studies characterizing the gut microbiome in HD have focused entirely on the bacterial component, while the fungal community (mycobiome) has been overlooked. The gut mycobiome has gained recognition for its role in host homeostasis and maintenance of the gut epithelial barrier. We aimed to characterize the gut mycobiome profile in HD using fecal samples collected from the R6/1 transgenic mouse model (and wild-type littermate controls) from 4 to 12 weeks of age, corresponding to presymptomatic through to early disease stages. Shotgun sequencing was performed on fecal DNA samples, followed by metagenomic analyses. The HD gut mycobiome beta diversity was significantly different from that of wild-type littermates at 12 weeks of age, while no genotype differences were observed at the earlier time points. Similarly, greater alpha diversity was observed in the HD mice by 12 weeks of age. Key taxa, including Malassezia restricta, Yarrowia lipolytica, and Aspergillus species, were identified as having a negative association with HD. Furthermore, integration of the bacterial and fungal data sets at 12 weeks of age identified negative correlations between the HD-associated fungal species and Lactobacillus reuteri. These findings provide new insights into gut microbiome alterations in HD and may help identify novel therapeutic targets. IMPORTANCE Huntington's disease (HD) is a fatal neurodegenerative disorder affecting both the mind and body. We have recently discovered that gut bacteria are disrupted in HD. The present study provides the first evidence of an altered gut fungal community (mycobiome) in HD. The genomes of many thousands of gut microbes were sequenced and used to assess "metagenomics" in particular the different types of fungal species in the HD versus control gut, in a mouse model. At an early disease stage, before the onset of symptoms, the overall gut mycobiome structure (array of fungi) in HD mice was distinct from that of their wild-type littermates. Alterations of multiple key fungi species were identified as being associated with the onset of disease symptoms, some of which showed strong correlations with the gut bacterial community. This study highlights the potential role of gut fungi in HD and may facilitate the development of novel therapeutic approaches.
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Affiliation(s)
- Geraldine Kong
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne Brain Centre, Parkville, Australia
| | - Kim-Anh Lê Cao
- Melbourne Integrative Genomics, School of Mathematics and Statistics, University of Melbourne, Parkville, Australia
| | - Anthony J. Hannan
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne Brain Centre, Parkville, Australia
- Department of Anatomy and Physiology, University of Melbourne, Parkville, Australia
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14
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Bairamian D, Sha S, Rolhion N, Sokol H, Dorothée G, Lemere CA, Krantic S. Microbiota in neuroinflammation and synaptic dysfunction: a focus on Alzheimer’s disease. Mol Neurodegener 2022; 17:19. [PMID: 35248147 PMCID: PMC8898063 DOI: 10.1186/s13024-022-00522-2] [Citation(s) in RCA: 63] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/15/2022] [Indexed: 12/15/2022] Open
Abstract
Abstract
Background
The implication of gut microbiota in the control of brain functions in health and disease is a novel, currently emerging concept. Accumulating data suggest that the gut microbiota exert its action at least in part by modulating neuroinflammation. Given the link between neuroinflammatory changes and neuronal activity, it is plausible that gut microbiota may affect neuronal functions indirectly by impacting microglia, a key player in neuroinflammation. Indeed, increasing evidence suggests that interplay between microglia and synaptic dysfunction may involve microbiota, among other factors. In addition to these indirect microglia-dependent actions of microbiota on neuronal activity, it has been recently recognized that microbiota could also affect neuronal activity directly by stimulation of the vagus nerve.
Main messages
The putative mechanisms of the indirect and direct impact of microbiota on neuronal activity are discussed by focusing on Alzheimer’s disease, one of the most studied neurodegenerative disorders and the prime cause of dementia worldwide. More specifically, the mechanisms of microbiota-mediated microglial alterations are discussed in the context of the peripheral and central inflammation cross-talk. Next, we highlight the role of microbiota in the regulation of humoral mediators of peripheral immunity and their impact on vagus nerve stimulation. Finally, we address whether and how microbiota perturbations could affect synaptic neurotransmission and downstream cognitive dysfunction.
Conclusions
There is strong increasing evidence supporting a role for the gut microbiome in the pathogenesis of Alzheimer’s disease, including effects on synaptic dysfunction and neuroinflammation, which contribute to cognitive decline. Putative early intervention strategies based on microbiota modulation appear therapeutically promising for Alzheimer’s disease but still require further investigation.
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15
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Zhang H, Chen Y, Wang Z, Xie G, Liu M, Yuan B, Chai H, Wang W, Cheng P. Implications of Gut Microbiota in Neurodegenerative Diseases. Front Immunol 2022; 13:785644. [PMID: 35237258 PMCID: PMC8882587 DOI: 10.3389/fimmu.2022.785644] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 01/19/2022] [Indexed: 12/12/2022] Open
Abstract
The morbidity associated with neurodegenerative diseases (NDs) is increasing, posing a threat to the mental and physical quality of life of humans. The crucial effect of microbiota on brain physiological processes is mediated through a bidirectional interaction, termed as the gut–brain axis (GBA), which is being investigated in studies. Many clinical and laboratory trials have indicated the importance of microbiota in the development of NDs via various microbial molecules that transmit from the gut to the brain across the GBA or nervous system. In this review, we summarize the implications of gut microbiota in ND, which will be beneficial for understanding the etiology and progression of NDs that may in turn help in developing ND interventions and clinical treatments for these diseases.
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Affiliation(s)
- Haoming Zhang
- Innovative Institute of Animal Healthy Breeding, College of Animal Sciences and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Yijia Chen
- School of Life Science, Fudan University, Shanghai, China
| | - Zifan Wang
- Innovative Institute of Animal Healthy Breeding, College of Animal Sciences and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Gaijie Xie
- Innovative Institute of Animal Healthy Breeding, College of Animal Sciences and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Mingming Liu
- Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun, China
| | - Boyu Yuan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hongxia Chai
- Innovative Institute of Animal Healthy Breeding, College of Animal Sciences and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Wei Wang
- Innovative Institute of Animal Healthy Breeding, College of Animal Sciences and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun, China
- *Correspondence: Wei Wang, ; Ping Cheng,
| | - Ping Cheng
- Innovative Institute of Animal Healthy Breeding, College of Animal Sciences and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
- *Correspondence: Wei Wang, ; Ping Cheng,
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16
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Phuna ZX, Madhavan P. A CLOSER LOOK AT THE MYCOBIOME IN ALZHEIMER'S DISEASE: FUNGAL SPECIES, PATHOGENESIS AND TRANSMISSION. Eur J Neurosci 2022; 55:1291-1321. [DOI: 10.1111/ejn.15599] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 01/17/2022] [Accepted: 01/18/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Zhi Xin Phuna
- School of Medicine, Faculty of Health & Medical Sciences, Taylor’s University Malaysia Subang Jaya Selangor
| | - Priya Madhavan
- School of Medicine, Faculty of Health & Medical Sciences, Taylor’s University Malaysia Subang Jaya Selangor
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17
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Kuo CY, Chen TY, Kao PH, Huang W, Cho CR, Lai YS, Yiang GT, Kao CF. Genetic Pathways and Functional Subnetworks for the Complex Nature of Bipolar Disorder in Genome-Wide Association Study. Front Mol Neurosci 2021; 14:772584. [PMID: 34880727 PMCID: PMC8645771 DOI: 10.3389/fnmol.2021.772584] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 10/08/2021] [Indexed: 11/19/2022] Open
Abstract
Bipolar disorder is a complex psychiatric trait that is also recognized as a high substantial heritability from a worldwide distribution. The success in identifying susceptibility loci for bipolar disorder (BPD) has been limited due to its complex genetic architecture. Growing evidence from association studies including genome-wide association (GWA) studies points to the need of improved analytic strategies to pinpoint the missing heritability for BPD. More importantly, many studies indicate that BPD has a strong association with dementia. We conducted advanced pathway analytics strategies to investigate synergistic effects of multilocus within biologically functional pathways, and further demonstrated functional effects among proteins in subnetworks to examine mechanisms underlying the complex nature of bipolarity using a GWA dataset for BPD. We allowed bipolar susceptible loci to play a role that takes larger weights in pathway-based analytic approaches. Having significantly informative genes identified from enriched pathways, we further built function-specific subnetworks of protein interactions using MetaCore. The gene-wise scores (i.e., minimum p-value) were corrected for the gene-length, and the results were corrected for multiple tests using Benjamini and Hochberg’s method. We found 87 enriched pathways that are significant for BPD; of which 36 pathways were reported. Most of them are involved with several metabolic processes, neural systems, immune system, molecular transport, cellular communication, and signal transduction. Three significant and function-related subnetworks with multiple hotspots were reported to link with several Gene Ontology processes for BPD. Our comprehensive pathway-network frameworks demonstrated that the use of prior knowledge is promising to facilitate our understanding between complex psychiatric disorders (e.g., BPD) and dementia for the access to the connection and clinical implications, along with the development and progression of dementia.
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Affiliation(s)
- Chan-Yen Kuo
- Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.,Department of Nursing, Cardinal Tien College of Healthcare and Management, New Taipei, Taiwan
| | - Tsu-Yi Chen
- Department of Emergency Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.,Department of Emergency Medicine, School of Medicine, Tzu Chi University, Hualien, Taiwan
| | - Pei-Hsiu Kao
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Winifred Huang
- School of Management, University of Bath, Bath, United Kingdom
| | - Chun-Ruei Cho
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Ya-Syuan Lai
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Giou-Teng Yiang
- Department of Emergency Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.,Department of Emergency Medicine, School of Medicine, Tzu Chi University, Hualien, Taiwan
| | - Chung-Feng Kao
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan.,Advanced Plant Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
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18
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Wu S, Liu X, Jiang R, Yan X, Ling Z. Roles and Mechanisms of Gut Microbiota in Patients With Alzheimer's Disease. Front Aging Neurosci 2021; 13:650047. [PMID: 34122039 PMCID: PMC8193064 DOI: 10.3389/fnagi.2021.650047] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 04/30/2021] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common age-related progressive neurodegenerative disease, characterized by a decline in cognitive function and neuronal loss, and is caused by several factors. Numerous clinical and experimental studies have suggested the involvement of gut microbiota dysbiosis in patients with AD. The altered gut microbiota can influence brain function and behavior through the microbiota–gut–brain axis via various pathways such as increased amyloid-β deposits and tau phosphorylation, neuroinflammation, metabolic dysfunctions, and chronic oxidative stress. With no current effective therapy to cure AD, gut microbiota modulation may be a promising therapeutic option to prevent or delay the onset of AD or counteract its progression. Our present review summarizes the alterations in the gut microbiota in patients with AD, the pathogenetic roles and mechanisms of gut microbiota in AD, and gut microbiota–targeted therapies for AD. Understanding the roles and mechanisms between gut microbiota and AD will help decipher the pathogenesis of AD from novel perspectives and shed light on novel therapeutic strategies for AD.
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Affiliation(s)
- Shaochang Wu
- Department of Geriatrics, Lishui Second People's Hospital, Lishui, China
| | - Xia Liu
- Department of Intensive Care Unit, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ruilai Jiang
- Department of Geriatrics, Lishui Second People's Hospital, Lishui, China
| | - Xiumei Yan
- Department of Geriatrics, Lishui Second People's Hospital, Lishui, China
| | - 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, Hangzhou, China.,Institute of Microbe & Host Health, Linyi University, Linyi, China
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