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Chen H, Fu X, Wu X, Zhao J, Qiu F, Wang Z, Wang Z, Chen X, Xie D, Huang J, Fan J, Yang X, Song Y, Li J, He D, Xiao G, Lu A, Liang C. Gut microbial metabolite targets HDAC3-FOXK1-interferon axis in fibroblast-like synoviocytes to ameliorate rheumatoid arthritis. Bone Res 2024; 12:31. [PMID: 38782893 PMCID: PMC11116389 DOI: 10.1038/s41413-024-00336-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 03/18/2024] [Accepted: 04/07/2024] [Indexed: 05/25/2024] Open
Abstract
Rheumatoid arthritis (RA) is an autoimmune disease. Early studies hold an opinion that gut microbiota is environmentally acquired and associated with RA susceptibility. However, accumulating evidence demonstrates that genetics also shape the gut microbiota. It is known that some strains of inbred laboratory mice are highly susceptible to collagen-induced arthritis (CIA), while the others are resistant to CIA. Here, we show that transplantation of fecal microbiota of CIA-resistant C57BL/6J mice to CIA-susceptible DBA/1J mice confer CIA resistance in DBA/1J mice. C57BL/6J mice and healthy human individuals have enriched B. fragilis than DBA/1J mice and RA patients. Transplantation of B. fragilis prevents CIA in DBA/1J mice. We identify that B. fragilis mainly produces propionate and C57BL/6J mice and healthy human individuals have higher level of propionate. Fibroblast-like synoviocytes (FLSs) in RA are activated to undergo tumor-like transformation. Propionate disrupts HDAC3-FOXK1 interaction to increase acetylation of FOXK1, resulting in reduced FOXK1 stability, blocked interferon signaling and deactivation of RA-FLSs. We treat CIA mice with propionate and show that propionate attenuates CIA. Moreover, a combination of propionate with anti-TNF etanercept synergistically relieves CIA. These results suggest that B. fragilis or propionate could be an alternative or complementary approach to the current therapies.
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Affiliation(s)
- Hongzhen Chen
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Shenzhen, 518055, China
| | - Xuekun Fu
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Shenzhen, 518055, China
- Institute of Integrated Bioinfomedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, 999077, China
| | - Xiaohao Wu
- Department of Biochemistry, School of Medicine, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Shenzhen, 518055, China
- Division of Immunology and Rheumatology, Stanford University, Stanford, CA, 94305, USA
- VA Palo Alto Health Care System, Palo Alto, CA, 94304, USA
| | - Junyi Zhao
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Shenzhen, 518055, China
| | - Fang Qiu
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Shenzhen, 518055, China
- Institute of Integrated Bioinfomedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, 999077, China
| | - Zhenghong Wang
- Institute of Plant and Food Science, Department of Biology, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zhuqian Wang
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Shenzhen, 518055, China
- Institute of Integrated Bioinfomedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, 999077, China
| | - Xinxin Chen
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Shenzhen, 518055, China
| | - Duoli Xie
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Shenzhen, 518055, China
- Institute of Integrated Bioinfomedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, 999077, China
| | - Jie Huang
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Shenzhen, 518055, China
- Institute of Integrated Bioinfomedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, 999077, China
| | - Junyu Fan
- Department of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xu Yang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yi Song
- Institute of Plant and Food Science, Department of Biology, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Jie Li
- Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China
| | - Dongyi He
- Department of Rheumatology, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Guozhi Xiao
- Department of Biochemistry, School of Medicine, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Shenzhen, 518055, China.
| | - Aiping Lu
- Institute of Integrated Bioinfomedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, 999077, China.
- Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou, 510006, China.
- Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
| | - Chao Liang
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Shenzhen, 518055, China.
- Institute of Integrated Bioinfomedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, 999077, China.
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, 100850, Beijing, China.
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R Muralitharan R, Nakai ME, Snelson M, Zheng T, Dinakis E, Xie L, Jama H, Paterson M, Shihata W, Wassef F, Vinh A, Drummond GR, Kaye DM, Mackay CR, Marques FZ. Influence of angiotensin II on the gut microbiome: Modest effects in comparison to experimental factors. Cardiovasc Res 2024:cvae062. [PMID: 38518247 DOI: 10.1093/cvr/cvae062] [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: 10/18/2023] [Revised: 12/12/2023] [Accepted: 01/08/2024] [Indexed: 03/24/2024] Open
Abstract
INTRODUCTION Animal models are regularly used to test the role of the gut microbiome in hypertension. Small-scale pre-clinical studies have investigated changes to the gut microbiome in the angiotensin II hypertensive model. However, the gut microbiome is influenced by internal and external experimental factors which are not regularly considered in the study design. Once these factors are accounted for, it is unclear if microbiome signatures are reproduceable. We aimed to determine the influence of angiotensin II treatment on the gut microbiome using a large and diverse cohort of mice and to quantify the magnitude by which other factors contribute to microbiome variations. METHODS AND RESULTS We conducted a retrospective study to establish a diverse mouse cohort resembling large human studies. We sequenced the V4 region of the 16S rRNA gene from 538 samples across the gastrointestinal tract of 303 male and female C57BL/6J mice randomised into sham or angiotensin II treatment from different genotypes, diets, animal facilities, and age groups. Analysing over 17 million sequencing reads, we observed that angiotensin II treatment influenced α-diversity (P = 0.0137) and β-diversity (i.e., composition of the microbiome, P < 0.001). Bacterial abundance analysis revealed patterns consistent with a reduction in short-chain fatty acid-producers, microbial metabolites that lower blood pressure. Furthermore, animal facility, genotype, diet, age, sex, intestinal sampling site, and sequencing batch had significant effects on both α- and β-diversity (all P < 0.001). Sampling site (6.8%) and diet (6%) had the largest impact on the microbiome, while angiotensin II and sex had the smallest effect (each 0.4%). CONCLUSIONS Our large-scale data confirmed findings from small-scale studies that angiotensin II impacted the gut microbiome. However, this effect was modest relative to most of the other factors studied. Accounting for these factors in future pre-clinical hypertensive studies will increase the likelihood that microbiome findings are replicable and translatable.
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Affiliation(s)
- Rikeish R Muralitharan
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Melbourne, Australia
- Institute for Medical Research, Ministry of Health Malaysia, Kuala Lumpur, Malaysia
| | - Michael E Nakai
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Melbourne, Australia
| | - Matthew Snelson
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Melbourne, Australia
- Victorian Heart Institute, Monash University, Melbourne, Australia
| | - Tenghao Zheng
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Melbourne, Australia
| | - Evany Dinakis
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Melbourne, Australia
| | - Liang Xie
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Melbourne, Australia
| | - Hamdi Jama
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Melbourne, Australia
| | - Madeleine Paterson
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Melbourne, Australia
| | - Waled Shihata
- Heart Failure Research Group, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Flavia Wassef
- Department of Microbiology, Anatomy, Physiology, La Trobe University, Melbourne, Australia
| | - Antony Vinh
- Department of Microbiology, Anatomy, Physiology, La Trobe University, Melbourne, Australia
| | - Grant R Drummond
- Department of Microbiology, Anatomy, Physiology, La Trobe University, Melbourne, Australia
| | - David M Kaye
- Heart Failure Research Group, Baker Heart and Diabetes Institute, Melbourne, Australia
- Department of Cardiology, Alfred Hospital, Melbourne, Australia
- Central Clinical School, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Charles R Mackay
- Infection and Immunity Program, Monash Biodiscovery Institute, Monash University, Melbourne, Australia
- Department of Biochemistry, Monash University, Melbourne, Australia
- School of Pharmaceutical Sciences, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
| | - Francine Z Marques
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Melbourne, Australia
- Victorian Heart Institute, Monash University, Melbourne, Australia
- Heart Failure Research Group, Baker Heart and Diabetes Institute, Melbourne, Australia
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Yosief RHS, Lone IM, Nachshon A, Himmelbauer H, Gat‐Viks I, Iraqi FA. Identifying genetic susceptibility to Aspergillus fumigatus infection using collaborative cross mice and RNA-Seq approach. Animal Model Exp Med 2024; 7:36-47. [PMID: 38356021 PMCID: PMC10961901 DOI: 10.1002/ame2.12386] [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: 08/23/2023] [Accepted: 12/15/2023] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Aspergillus fumigatus (Af) is one of the most ubiquitous fungi and its infection potency is suggested to be strongly controlled by the host genetic background. The aim of this study was to search for candidate genes associated with host susceptibility to Aspergillus fumigatus (Af) using an RNAseq approach in CC lines and hepatic gene expression. METHODS We studied 31 male mice from 25 CC lines at 8 weeks old; the mice were infected with Af. Liver tissues were extracted from these mice 5 days post-infection, and next-generation RNA-sequencing (RNAseq) was performed. The GENE-E analysis platform was used to generate a clustered heat map matrix. RESULTS Significant variation in body weight changes between CC lines was observed. Hepatic gene expression revealed 12 top prioritized candidate genes differentially expressed in resistant versus susceptible mice based on body weight changes. Interestingly, three candidate genes are located within genomic intervals of the previously mapped quantitative trait loci (QTL), including Gm16270 and Stox1 on chromosome 10 and Gm11033 on chromosome 8. CONCLUSIONS Our findings emphasize the CC mouse model's power in fine mapping the genetic components underlying susceptibility towards Af. As a next step, eQTL analysis will be performed for our RNA-Seq data. Suggested candidate genes from our study will be further assessed with a human cohort with aspergillosis.
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Affiliation(s)
- Roa'a H. S. Yosief
- Department of Clinical Microbiology and Immunology, Sackler Faculty of MedicineTel‐Aviv UniversityTel‐AvivIsrael
| | - Iqbal M. Lone
- Department of Clinical Microbiology and Immunology, Sackler Faculty of MedicineTel‐Aviv UniversityTel‐AvivIsrael
| | - Aharon Nachshon
- School of Molecular Cell Biology and Biotechnology, George S. Wise Faculty of Life SciencesTel Aviv UniversityTel AvivIsrael
| | - Heinz Himmelbauer
- Institute of Computational Biology, Department of Biotechnology, University of Natural Resources and Life Sciences, Muthgasse 181190 ViennaAustria
| | - Irit Gat‐Viks
- School of Molecular Cell Biology and Biotechnology, George S. Wise Faculty of Life SciencesTel Aviv UniversityTel AvivIsrael
| | - Fuad A. Iraqi
- Department of Clinical Microbiology and Immunology, Sackler Faculty of MedicineTel‐Aviv UniversityTel‐AvivIsrael
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Shevchenko A, Shalaginova I, Katserov D, Matskova L, Shiryaeva N, Dyuzhikova N. Post-stress changes in the gut microbiome composition in rats with different levels of nervous system excitability. PLoS One 2023; 18:e0295709. [PMID: 38079399 PMCID: PMC10712864 DOI: 10.1371/journal.pone.0295709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/26/2023] [Indexed: 12/18/2023] Open
Abstract
The gut-brain axis is a critical communication system influencing the interactions between the gastrointestinal tract (GI) and the central nervous system (CNS). The gut microbiota plays a significant role in this axis, affecting the development and function of the nervous system. Stress-induced psychopathologies, such as depression and anxiety, have been linked to the gut microbiota, but underlying mechanisms and genetic susceptibility remain unclear. In this study, we examined stress-induced changes in the gut microbiome composition in two rat strains with different levels of nervous system excitability: high threshold (HT strain) and low threshold (LT strain). Rats were exposed to long-term emotional and painful stress using the Hecht protocol, and fecal samples were collected at multiple time points before and after stress exposure. Using 16S rRNA amplicon sequencing, we assessed the qualitative and quantitative changes in the gut microbiota. Our results revealed distinct microbial diversity between the two rat strains, with the HT strain displaying higher diversity compared to the LT strain. Notably, under prolonged stress, the HT strain showed an increase in relative abundance of microorganisms from the genera Faecalibacterium and Prevotella in fecal samples. Additionally, both strains exhibited a decrease in Lactobacillus abundance following stress exposure. Our findings provide valuable insights into the impact of hereditary nervous system excitability on the gut microbiome composition under stress conditions. Understanding the gut-brain interactions in response to stress may open new avenues for comprehending stress-related psychopathologies and developing potential therapeutic interventions targeted at the gut microbiota. However, further research is needed to elucidate the exact mechanisms underlying these changes and their implications for stress-induced disorders. Overall, this study contributes to the growing body of knowledge on the gut-brain axis and its significance in stress-related neurobiology.
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Affiliation(s)
- Alla Shevchenko
- Educational and Scientific Cluster “Institute of Medicine and Life Sciences (MEDBIO)”, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Irina Shalaginova
- Educational and Scientific Cluster “Institute of Medicine and Life Sciences (MEDBIO)”, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Dmitriy Katserov
- Educational and Scientific Cluster “Institute of Medicine and Life Sciences (MEDBIO)”, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Ludmila Matskova
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Natalia Shiryaeva
- Pavlov Institute of Physiology of the Russian Academy of Sciences, Saint-Petersburg, Russia
| | - Natalia Dyuzhikova
- Pavlov Institute of Physiology of the Russian Academy of Sciences, Saint-Petersburg, Russia
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Horseman TS, Frank AM, Shupp JW, Burmeister DM. Meta-Analysis of Publicly Available Clinical and Preclinical Microbiome Data From Studies of Burn Injury. J Burn Care Res 2023; 44:1041-1050. [PMID: 37352011 DOI: 10.1093/jbcr/irad098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Indexed: 06/25/2023]
Abstract
Following burn injury, alterations in host commensal microbiota across body spaces may leave patients susceptible to opportunistic pathogens and serious sequelae such as sepsis. Generally, studies examining the microbiome postburn have had a limited sample size and lack of longitudinal data, which coupled with experimental and analytic variation, impacts overall interpretation. We performed a meta-analysis of publicly available sequencing data from preclinical and clinical burn studies to determine if there were consistent alterations in the microbiome across various anatomical sites and hosts. Ten human and animal 16S rRNA sequencing studies spanning respiratory, urinary, cutaneous, and gastrointestinal microbiomes were included. Taxonomic classification and alpha and beta diversity metrics were analyzed using QIIME2 v2021.8. Alpha diversity was consistently higher in control samples compared to burn-injured samples which were also different based on host and anatomical location; however, phylogenetic evaluation (ie, Faith PD) elucidated more significant differences compared to taxonomic metrics (ie, Shannon entropy). Beta diversity analysis based on weighted UniFrac showed that rodent specimens clustered less closely to humans than pig samples for both rectal and skin sources. Host species and performing institute were found to have a significant impact on community structure. In rectal samples, bacterial composition in pig and human burn samples included Bacteroidetes, Firmicutes, and Proteobacteria, while rodent samples were dominated by Firmicutes. Proteobacteria and Firmicutes increased on burned skin in each host species. Our results suggest that host species and the performing institute strongly influence microbiome structure. Burn-induced alterations in microbiome diversity and taxa exist across hosts, with phylogenetic metrics more valuable than others. Coordinated, multicenter studies, both clinical and preclinical, within the burn community are needed to more completely realize the diagnostic and therapeutic potential of the microbiome for improving outcomes postburn.
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Affiliation(s)
- Timothy S Horseman
- School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Andrew M Frank
- School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Jeffrey W Shupp
- The Burn Center, MedStar Washington Hospital Center, Washington, DC, USA
- Department of Surgery, Georgetown University School of Medicine, Washington, DC, USA
| | - David M Burmeister
- School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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Jabeen MF, Hinks TSC. MAIT cells and the microbiome. Front Immunol 2023; 14:1127588. [PMID: 36911683 PMCID: PMC9995591 DOI: 10.3389/fimmu.2023.1127588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 02/14/2023] [Indexed: 02/25/2023] Open
Abstract
Mucosal associated invariant T (MAIT) cells are innate-like T lymphocytes, strikingly enriched at mucosal surfaces and characterized by a semi-invariant αβ T cell receptor (TCR) recognizing microbial derived intermediates of riboflavin synthesis presented by the MHC-Ib molecule MR1. At barrier sites MAIT cells occupy a prime position for interaction with commensal microorganisms, comprising the microbiota. The microbiota is a rich source of riboflavin derived antigens required in early life to promote intra-thymic MAIT cell development and sustain a life-long population of tissue resident cells. A symbiotic relationship is thought to be maintained in health whereby microbes promote maturation and homeostasis, and in turn MAIT cells can engage a TCR-dependent "tissue repair" program in the presence of commensal organisms conducive to sustaining barrier function and integrity of the microbial community. MAIT cell activation can be induced in a MR1-TCR dependent manner or through MR1-TCR independent mechanisms via pro-inflammatory cytokines interleukin (IL)-12/-15/-18 and type I interferon. MAIT cells provide immunity against bacterial, fungal and viral pathogens. However, MAIT cells may have deleterious effects through insufficient or exacerbated effector activity and have been implicated in autoimmune, inflammatory and allergic conditions in which microbial dysbiosis is a shared feature. In this review we summarize the current knowledge on the role of the microbiota in the development and maintenance of circulating and tissue resident MAIT cells. We also explore how microbial dysbiosis, alongside changes in intestinal permeability and imbalance between pro- and anti-inflammatory components of the immune response are together involved in the potential pathogenicity of MAIT cells. Whilst there have been significant improvements in our understanding of how the microbiota shapes MAIT cell function, human data are relatively lacking, and it remains unknown if MAIT cells can conversely influence the composition of the microbiota. We speculate whether, in a human population, differences in microbiomes might account for the heterogeneity observed in MAIT cell frequency across mucosal sites or between individuals, and response to therapies targeting T cells. Moreover, we speculate whether manipulation of the microbiota, or harnessing MAIT cell ligands within the gut or disease-specific sites could offer novel therapeutic strategies.
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Affiliation(s)
- Maisha F. Jabeen
- Respiratory Medicine Unit, Experimental Medicine Division, Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
| | - Timothy S. C. Hinks
- Respiratory Medicine Unit, Experimental Medicine Division, Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
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Knox EG, Lynch CMK, Lee YS, O'Driscoll CM, Clarke G, Cryan JF, Aburto MR. The gut microbiota is important for the maintenance of blood-cerebrospinal fluid barrier integrity. Eur J Neurosci 2023; 57:233-241. [PMID: 36453579 PMCID: PMC10107533 DOI: 10.1111/ejn.15878] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 11/17/2022] [Accepted: 11/25/2022] [Indexed: 12/03/2022]
Abstract
The gut microbiota communicates with the brain through several pathways including the vagus nerve, immune system, microbial metabolites and through the endocrine system. Pathways along the humoral/immune gut microbiota-brain axis are composed of a series of vascular and epithelial barriers including the intestinal epithelial barrier, gut-vascular barrier, blood-brain barrier and blood-cerebrospinal fluid barrier. Of these barriers, the relationship between the gut microbiota and blood-cerebrospinal fluid barrier is yet to be fully defined. Here, using a germ-free mouse model, we aimed to assess the relationship between the gut microbiota and the integrity of the blood-cerebrospinal fluid barrier, which is localized to the choroid plexus epithelium. Using confocal microscopy, we visualized the tight junction protein zonula occludens-1, an integral aspect of choroid plexus integrity, as well as the choroid plexus fenestrated capillaries. Quantification of tight junction proteins via network analysis led to the observation that there was a decrease in the zonula occludens-1 network organization in germ-free mice; however, we did not observe any differences in capillary structure. Taken together, these data indicate that the blood-cerebrospinal fluid barrier is another barrier along the gut microbiota-brain axis. Future studies are required to elucidate its relative contribution in signalling from microbiota to the brain.
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Affiliation(s)
- Emily G Knox
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Pharmacodelivery Group, School of Pharmacy, University College Cork, Cork, Ireland
| | - Caoimhe M K Lynch
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
| | - Ye Seul Lee
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
| | | | - Gerard Clarke
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Department of Psychiatry and Neurobehavioural Science, 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
| | - Maria R Aburto
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
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