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Budden KF, Shukla SD, Bowerman KL, Vaughan A, Gellatly SL, Wood DLA, Lachner N, Idrees S, Rehman SF, Faiz A, Patel VK, Donovan C, Alemao CA, Shen S, Amorim N, Majumder R, Vanka KS, Mason J, Haw TJ, Tillet B, Fricker M, Keely S, Hansbro N, Belz GT, Horvat J, Ashhurst T, van Vreden C, McGuire H, Fazekas de St Groth B, King NJC, Crossett B, Cordwell SJ, Bonaguro L, Schultze JL, Hamilton-Williams EE, Mann E, Forster SC, Cooper MA, Segal LN, Chotirmall SH, Collins P, Bowman R, Fong KM, Yang IA, Wark PAB, Dennis PG, Hugenholtz P, Hansbro PM. Faecal microbial transfer and complex carbohydrates mediate protection against COPD. Gut 2024; 73:751-769. [PMID: 38331563 DOI: 10.1136/gutjnl-2023-330521] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 01/08/2024] [Indexed: 02/10/2024]
Abstract
OBJECTIVE Chronic obstructive pulmonary disease (COPD) is a major cause of global illness and death, most commonly caused by cigarette smoke. The mechanisms of pathogenesis remain poorly understood, limiting the development of effective therapies. The gastrointestinal microbiome has been implicated in chronic lung diseases via the gut-lung axis, but its role is unclear. DESIGN Using an in vivo mouse model of cigarette smoke (CS)-induced COPD and faecal microbial transfer (FMT), we characterised the faecal microbiota using metagenomics, proteomics and metabolomics. Findings were correlated with airway and systemic inflammation, lung and gut histopathology and lung function. Complex carbohydrates were assessed in mice using a high resistant starch diet, and in 16 patients with COPD using a randomised, double-blind, placebo-controlled pilot study of inulin supplementation. RESULTS FMT alleviated hallmark features of COPD (inflammation, alveolar destruction, impaired lung function), gastrointestinal pathology and systemic immune changes. Protective effects were additive to smoking cessation, and transfer of CS-associated microbiota after antibiotic-induced microbiome depletion was sufficient to increase lung inflammation while suppressing colonic immunity in the absence of CS exposure. Disease features correlated with the relative abundance of Muribaculaceae, Desulfovibrionaceae and Lachnospiraceae family members. Proteomics and metabolomics identified downregulation of glucose and starch metabolism in CS-associated microbiota, and supplementation of mice or human patients with complex carbohydrates improved disease outcomes. CONCLUSION The gut microbiome contributes to COPD pathogenesis and can be targeted therapeutically.
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Affiliation(s)
- Kurtis F Budden
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Shakti D Shukla
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Kate L Bowerman
- School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, QLD, Australia
| | - Annalicia Vaughan
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, QLD, Australia
| | - Shaan L Gellatly
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - David L A Wood
- School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, QLD, Australia
| | - Nancy Lachner
- School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, QLD, Australia
| | - Sobia Idrees
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Saima Firdous Rehman
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Alen Faiz
- Respiratory Bioinformatics and Molecular Biology, School of Life Sciences, University of Technology Sydney, Sydney, NSW, Australia
| | - Vyoma K Patel
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Chantal Donovan
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Charlotte A Alemao
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Sj Shen
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Nadia Amorim
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Rajib Majumder
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Kanth S Vanka
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Jazz Mason
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Tatt Jhong Haw
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Bree Tillet
- Frazer Institute, University of Queensland, Woolloongabba, QLD, Australia
| | - Michael Fricker
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Simon Keely
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Nicole Hansbro
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Gabrielle T Belz
- Frazer Institute, University of Queensland, Woolloongabba, QLD, Australia
| | - Jay Horvat
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Thomas Ashhurst
- Sydney Cytometry, Charles Perkins Centre, Centenary Institute and The University of Sydney, Sydney, NSW, Australia
- Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
| | - Caryn van Vreden
- Sydney Cytometry, Charles Perkins Centre, Centenary Institute and The University of Sydney, Sydney, NSW, Australia
- Ramaciotti Facility for Human Systems Biology, Charles Perkins Centre and The University of Sydney, Sydney, NSW, Australia
| | - Helen McGuire
- Ramaciotti Facility for Human Systems Biology, Charles Perkins Centre and The University of Sydney, Sydney, NSW, Australia
| | - Barbara Fazekas de St Groth
- Ramaciotti Facility for Human Systems Biology, Charles Perkins Centre and The University of Sydney, Sydney, NSW, Australia
| | - Nicholas J C King
- Sydney Cytometry, Charles Perkins Centre, Centenary Institute and The University of Sydney, Sydney, NSW, Australia
- Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
- Ramaciotti Facility for Human Systems Biology, Charles Perkins Centre and The University of Sydney, Sydney, NSW, Australia
- Discipline of Pathology, Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Ben Crossett
- Sydney Mass Spectrometry, The University of Sydney, Sydney, NSW, Australia
| | - Stuart J Cordwell
- Sydney Mass Spectrometry, The University of Sydney, Sydney, NSW, Australia
- School of Life and Environmental Sciences, Charles Perkins Centre and The University of Sydney, Sydney, NSW, Australia
| | - Lorenzo Bonaguro
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany
- Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
| | - Joachim L Schultze
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany
- Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
- PRECISE Platform for Single Cell Genomics and Epigenomics, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) and the University of Bonn, Bonn, Germany
| | | | - Elizabeth Mann
- Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
| | - Samuel C Forster
- Centre for Innate Immunity and Infectious Diseases and Department of Molecular and Translational Science, Hudson Institute of Medical Research and Monash University, Melbourne, VIC, Australia
| | - Matthew A Cooper
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Leopoldo N Segal
- Division of Pulmonary and Critical Care Medicine, Laura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA
| | - Sanjay H Chotirmall
- Lee Kong Chian School of Medicine, Translational Respiratory Research Laboratory, Singapore
| | - Peter Collins
- Mater Research Institute, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Department of Dietetics & Food Services, Mater Hospital, Brisbane, QLD, Australia
| | - Rayleen Bowman
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, QLD, Australia
| | - Kwun M Fong
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, QLD, Australia
| | - Ian A Yang
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, QLD, Australia
| | - Peter A B Wark
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Paul G Dennis
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Philip Hugenholtz
- School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, QLD, Australia
| | - Philip M Hansbro
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
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Oakey H, Giles LC, Thomson RL, Lê Cao KA, Ashwood P, Brown JD, Knight EJ, Barry SC, Craig ME, Colman PG, Davis EA, Hamilton-Williams EE, Harrison LC, Haynes A, Kim KW, Mallitt KA, McGorm K, Morahan G, Rawlinson WD, Sinnott RO, Soldatos G, Wentworth JM, Couper JJ, Penno MAS. Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort. Ann Med 2023; 55:2198255. [PMID: 37043275 PMCID: PMC10101668 DOI: 10.1080/07853890.2023.2198255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/13/2023] Open
Abstract
Background: The Environmental Determinants of Islet Autoimmunity (ENDIA) pregnancy-birth cohort investigates the developmental origins of type 1 diabetes (T1D), with recruitment between 2013 and 2019. ENDIA is the first study in the world with comprehensive data and biospecimen collection during pregnancy, at birth and through childhood from at-risk children who have a first-degree relative with T1D. Environmental exposures are thought to drive the progression to clinical T1D, with pancreatic islet autoimmunity (IA) developing in genetically susceptible individuals. The exposures and key molecular mechanisms driving this progression are unknown. Persistent IA is the primary outcome of ENDIA; defined as a positive antibody for at least one of IAA, GAD, ZnT8 or IA2 on two consecutive occasions and signifies high risk of clinical T1D.Method: A nested case-control (NCC) study design with 54 cases and 161 matched controls aims to investigate associations between persistent IA and longitudinal omics exposures in ENDIA. The NCC study will analyse samples obtained from ENDIA children who have either developed persistent IA or progressed to clinical T1D (cases) and matched control children at risk of developing persistent IA. Control children were matched on sex and age, with all four autoantibodies absent within a defined window of the case's onset date. Cases seroconverted at a median of 1.37 years (IQR 0.95, 2.56). Longitudinal omics data generated from approximately 16,000 samples of different biospecimen types, will enable evaluation of changes from pregnancy through childhood.Conclusions: This paper describes the ENDIA NCC study, omics platform design considerations and planned univariate and multivariate analyses for its longitudinal data. Methodologies for multivariate omics analysis with longitudinal data are discovery-focused and data driven. There is currently no single multivariate method tailored specifically for the longitudinal omics data that the ENDIA NCC study will generate and therefore omics analysis results will require either cross validation or independent validation.KEY MESSAGESThe ENDIA nested case-control study will utilize longitudinal omics data on approximately 16,000 samples from 190 unique children at risk of type 1 diabetes (T1D), including 54 who have developed islet autoimmunity (IA), followed during pregnancy, at birth and during early childhood, enabling the developmental origins of T1D to be explored.
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Affiliation(s)
- Helena Oakey
- Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Lynne C Giles
- School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia
| | - Rebecca L Thomson
- Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Kim-Anh Lê Cao
- Melbourne Integrative Genomics, School of Mathematics and Statistics, University of Melbourne, Melbourne, Victoria, Australia
| | - Pat Ashwood
- Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - James D Brown
- Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Emma J Knight
- Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Simon C Barry
- Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Maria E Craig
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia
| | - Peter G Colman
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Elizabeth A Davis
- Telethon Kids Institute Centre for Child Health Research, The University of Western Australia, Perth, Western Australia, Australia
| | - Emma E Hamilton-Williams
- Faculty of Medicine, Frazer Institute, The University of Queensland Translational Research Institute, Brisbane, Queensland, Australia
| | - Leonard C Harrison
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, Victoria, Australia
| | - Aveni Haynes
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Ki Wook Kim
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Kylie-Ann Mallitt
- Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
- School of Clinical Medicine - Psychiatry and Mental Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Kelly McGorm
- Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Grant Morahan
- Centre for Diabetes Research, Harry Perkins Institute of Medical Research, The University of Western Australia, Perth, Western Australia, Australia
| | - William D Rawlinson
- Virology Research Laboratory, Serology and Virology Division, South Eastern Area Laboratory Services Microbiology, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Richard O Sinnott
- Melbourne eResearch Group, School of Computing and Information Services, University of Melbourne, Melbourne, Victoria, Australia
| | - Georgia Soldatos
- Diabetes and Vascular Medicine Unit, Monash Health, Melbourne, Victoria, Australia
| | - John M Wentworth
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
| | - Jennifer J Couper
- Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
- Endocrinology and Diabetes Centre, Women's and Children's Hospital, Adelaide, South Australia, Australia
| | - Megan A S Penno
- Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
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3
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Brenu EW, Harris M, Hamilton-Williams EE. Circulating biomarkers during progression to type 1 diabetes: A systematic review. Front Endocrinol (Lausanne) 2023; 14:1117076. [PMID: 36817583 PMCID: PMC9935596 DOI: 10.3389/fendo.2023.1117076] [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: 12/06/2022] [Accepted: 01/25/2023] [Indexed: 02/05/2023] Open
Abstract
AIM Progression to type 1 diabetes (T1D) is defined in stages and clinical disease is preceded by a period of silent autoimmunity. Improved prediction of the risk and rate of progression to T1D is needed to reduce the prevalence of diabetic ketoacidosis at presentation as well as for staging participants for clinical trials. This systematic review evaluates novel circulating biomarkers associated with future progression to T1D. METHODS PubMed, Ovid, and EBSCO databases were used to identify a comprehensive list of articles. The eligibility criteria included observational studies that evaluated the usefulness of circulating markers in predicting T1D progression in at-risk subjects <20 years old. RESULTS Twenty-six studies were identified, seventeen were cohort studies and ten were case control studies. From the 26 studies, 5 found evidence for protein and lipid dysregulation, 11 identified molecular markers while 12 reported on changes in immune parameters during progression to T1D. An increased risk of T1D progression was associated with the presence of altered gene expression, immune markers including regulatory T cell dysfunction and higher short-lived effector CD8+ T cells in progressors. DISCUSSION Several circulating biomarkers are dysregulated before T1D diagnosis and may be useful in predicting either the risk or rate of progression to T1D. Further studies are required to validate these biomarkers and assess their predictive accuracy before translation into broader use. SYSTEMATIC REVIEW REGISTRATION https://www.crd.york.ac.uk/prospero, identifier (CRD42020166830).
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Affiliation(s)
- Ekua W. Brenu
- School of Medicine, University of Notre Dame, Sydney, NSW, Australia
| | - Mark Harris
- Endocrinology Department, Queensland Children’s Hospital, South Brisbane, QLD, Australia
| | - Emma E. Hamilton-Williams
- Frazer Institute, The University of Queensland, Woolloongabba, QLD, Australia
- *Correspondence: Emma E. Hamilton-Williams,
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Okada M, Zhang V, Loaiza Naranjo JD, Tillett BJ, Wong FS, Steptoe RJ, Bergot AS, Hamilton-Williams EE. Islet-specific CD8 + T cells gain effector function in the gut lymphoid tissues via bystander activation not molecular mimicry. Immunol Cell Biol 2023; 101:36-48. [PMID: 36214093 PMCID: PMC10092732 DOI: 10.1111/imcb.12593] [Citation(s) in RCA: 1] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 09/14/2022] [Accepted: 10/08/2022] [Indexed: 11/30/2022]
Abstract
Type 1 diabetes (T1D) is caused by aberrant activation of autoreactive T cells specific for the islet beta cells. How islet-specific T cells evade tolerance to become effector T cells is unknown, but it is believed that an altered gut microbiota plays a role. Possible mechanisms include bystander activation of autoreactive T cells in the gut or "molecular mimicry" from cross-reactivity between gut microbiota-derived peptides and islet-derived epitopes. To investigate these mechanisms, we use two islet-specific CD8+ T cell clones and the non-obese diabetic mouse model of type 1 diabetes. Both insulin-specific G9C8 cells and IGRP-specific 8.3 cells underwent early activation and proliferation in the pancreatic draining lymph nodes but not in the Peyer's patches or mesenteric lymph nodes. Mutation of the endogenous epitope for G9C8 cells abolished their CD69 upregulation and proliferation, ruling out G9C8 cell activation by a gut microbiota derived peptide and molecular mimicry. However, previously activated islet-specific effector memory cells but not naïve cells migrated into the Peyer's patches where they increased their cytotoxic function. Oral delivery of butyrate, a microbiota derived anti-inflammatory metabolite, reduced IGRP-specific cytotoxic function. Thus, while initial activation of islet-specific CD8+ T cells occurred in the pancreatic lymph nodes, activated cells trafficked through the gut lymphoid tissues where they gained additional effector function via non-specific bystander activation influenced by the gut microbiota.
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Affiliation(s)
- Mirei Okada
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Vivian Zhang
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Jeniffer D Loaiza Naranjo
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Bree J Tillett
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - F Susan Wong
- Division of Infection and Immunity and Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff, UK
| | - Raymond J Steptoe
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Anne-Sophie Bergot
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
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5
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Gavin PG, Kim KW, Craig ME, Hill MM, Hamilton-Williams EE. Multi-omic interactions in the gut of children at the onset of islet autoimmunity. Microbiome 2022; 10:230. [PMID: 36527134 PMCID: PMC9756488 DOI: 10.1186/s40168-022-01425-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 11/11/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND The gastrointestinal ecosystem is a highly complex environment with a profound influence on human health. Inflammation in the gut, linked to an altered gut microbiome, has been associated with the development of multiple human conditions including type 1 diabetes (T1D). Viruses infecting the gastrointestinal tract, especially enteroviruses, are also thought to play an important role in T1D pathogenesis possibly via overlapping mechanisms. However, it is not known whether the microbiome and virome act together or which risk factor may be of greater importance at the time when islet autoimmunity is initiated. RESULTS Here, we apply an integrative approach to combine comprehensive fecal virome, microbiome, and metaproteome data sampled before and at the onset of islet autoimmunity in 40 children at increased risk of T1D. We show strong age-related effects, with microbial and metaproteome diversity increasing with age while host antibody number and abundance declined with age. Mastadenovirus, which has been associated with a reduced risk of T1D, was associated with profound changes in the metaproteome indicating a functional shift in the microbiota. Multi-omic factor analysis modeling revealed a cluster of proteins associated with carbohydrate transport from the genus Faecalibacterium were associated with islet autoimmunity. CONCLUSIONS These findings demonstrate the interrelatedness of the gut microbiota, metaproteome and virome in young children. We show a functional remodeling of the gut microbiota accompanies both islet autoimmunity and viral infection with a switch in function in Faecalibacterium occurring at the onset of islet autoimmunity. Video Abstract.
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Affiliation(s)
- Patrick G Gavin
- Frazer Institute, The University of Queensland, Woolloongabba, QLD, Australia
- Present Address: Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Present Address: Harvard Medical School, Boston, MA, USA
| | - Ki Wook Kim
- Virology Research Laboratory, Prince of Wales Hospital Randwick, Sydney, Australia
- School of Clinical Medicine, Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - Maria E Craig
- Virology Research Laboratory, Prince of Wales Hospital Randwick, Sydney, Australia
- School of Clinical Medicine, Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
- Institute of Endocrinology and Diabetes, Children's Hospital at Westmead, Sydney, Australia
- Discipline of Child and Adolescent Health, University of Sydney, Sydney, Australia
| | - Michelle M Hill
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
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Bell KJ, Saad S, Tillett BJ, McGuire HM, Bordbar S, Yap YA, Nguyen LT, Wilkins MR, Corley S, Brodie S, Duong S, Wright CJ, Twigg S, de St Groth BF, Harrison LC, Mackay CR, Gurzov EN, Hamilton-Williams EE, Mariño E. Metabolite-based dietary supplementation in human type 1 diabetes is associated with microbiota and immune modulation. Microbiome 2022; 10:9. [PMID: 35045871 PMCID: PMC8772108 DOI: 10.1186/s40168-021-01193-9] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [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: 10/28/2021] [Accepted: 11/04/2021] [Indexed: 05/04/2023]
Abstract
BACKGROUND Short-chain fatty acids (SCFAs) produced by the gut microbiota have beneficial anti-inflammatory and gut homeostasis effects and prevent type 1 diabetes (T1D) in mice. Reduced SCFA production indicates a loss of beneficial bacteria, commonly associated with chronic autoimmune and inflammatory diseases, including T1D and type 2 diabetes. Here, we addressed whether a metabolite-based dietary supplement has an impact on humans with T1D. We conducted a single-arm pilot-and-feasibility trial with high-amylose maize-resistant starch modified with acetate and butyrate (HAMSAB) to assess safety, while monitoring changes in the gut microbiota in alignment with modulation of the immune system status. RESULTS HAMSAB supplement was administered for 6 weeks with follow-up at 12 weeks in adults with long-standing T1D. Increased concentrations of SCFA acetate, propionate, and butyrate in stools and plasma were in concert with a shift in the composition and function of the gut microbiota. While glucose control and insulin requirements did not change, subjects with the highest SCFA concentrations exhibited the best glycemic control. Bifidobacterium longum, Bifidobacterium adolescentis, and vitamin B7 production correlated with lower HbA1c and basal insulin requirements. Circulating B and T cells developed a more regulatory phenotype post-intervention. CONCLUSION Changes in gut microbiota composition, function, and immune profile following 6 weeks of HAMSAB supplementation were associated with increased SCFAs in stools and plasma. The persistence of these effects suggests that targeting dietary SCFAs may be a mechanism to alter immune profiles, promote immune tolerance, and improve glycemic control for the treatment of T1D. TRIAL REGISTRATION ACTRN12618001391268. Registered 20 August 2018, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375792 Video Abstract.
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Affiliation(s)
- Kirstine J Bell
- Charles Perkins Centre, University of Sydney, Camperdown, Sydney, New South Wales, 2050, Australia
- Faculty of Medicine and Health, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Sonia Saad
- Kolling Institute of Medical Research, Royal North Shore Hospital, Sydney Medical School, University of Sydney, St Leonards, Sydney, New South Wales, Australia
| | - Bree J Tillett
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, Brisbane, Queensland, 4102, Australia
| | - Helen M McGuire
- Charles Perkins Centre, University of Sydney, Camperdown, Sydney, New South Wales, 2050, Australia
- Discipline of Pathology, Faculty of Medicine and Health, The University of Sydney, Camperdown, Sydney, New South Wales, 2050, Australia
- Ramaciotti Facility for Human Systems Biology, The University of Sydney, Camperdown, Sydney, New South Wales, 2050, Australia
| | - Sara Bordbar
- Infection and Immunity Program, Biomedicine Discovery Institute, Department of Biochemistry, Monash University, Melbourne, Victoria, 3800, Australia
| | - Yu Anne Yap
- Infection and Immunity Program, Biomedicine Discovery Institute, Department of Biochemistry, Monash University, Melbourne, Victoria, 3800, Australia
| | - Long T Nguyen
- Kolling Institute of Medical Research, Royal North Shore Hospital, Sydney Medical School, University of Sydney, St Leonards, Sydney, New South Wales, Australia
| | - Marc R Wilkins
- Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Susan Corley
- Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Shannon Brodie
- Charles Perkins Centre, University of Sydney, Camperdown, Sydney, New South Wales, 2050, Australia
| | - Sussan Duong
- Charles Perkins Centre, University of Sydney, Camperdown, Sydney, New South Wales, 2050, Australia
| | - Courtney J Wright
- Charles Perkins Centre, University of Sydney, Camperdown, Sydney, New South Wales, 2050, Australia
- Faculty of Medicine and Health, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Stephen Twigg
- Charles Perkins Centre, University of Sydney, Camperdown, Sydney, New South Wales, 2050, Australia
- Faculty of Medicine and Health, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Barbara Fazekas de St Groth
- Charles Perkins Centre, University of Sydney, Camperdown, Sydney, New South Wales, 2050, Australia
- Discipline of Pathology, Faculty of Medicine and Health, The University of Sydney, Camperdown, Sydney, New South Wales, 2050, Australia
- Ramaciotti Facility for Human Systems Biology, The University of Sydney, Camperdown, Sydney, New South Wales, 2050, Australia
| | - Leonard C Harrison
- Walter and Eliza Hall Institute of Medical Research, Parkville, Melbourne, Victoria, 3052, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, Victoria, 3010, Australia
| | - Charles R Mackay
- Infection and Immunity Program, Biomedicine Discovery Institute, Department of Biochemistry, Monash University, Melbourne, Victoria, 3800, Australia
| | - Esteban N Gurzov
- Signal Transduction and Metabolism Laboratory, Université libre de Bruxelles, 1070, Brussels, Belgium
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, Brisbane, Queensland, 4102, Australia.
| | - Eliana Mariño
- Infection and Immunity Program, Biomedicine Discovery Institute, Department of Biochemistry, Monash University, Melbourne, Victoria, 3800, Australia.
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7
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Rødahl I, Gotley J, Andersen SB, Yu M, Mehdi AM, Christ AN, Hamilton-Williams EE, Frazer IH, Lukowski SW, Chandra J. Acquisition of murine splenic myeloid cells for protein and gene expression profiling by advanced flow cytometry and CITE-seq. STAR Protoc 2021; 2:100842. [PMID: 34585169 PMCID: PMC8456112 DOI: 10.1016/j.xpro.2021.100842] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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] [Indexed: 11/30/2022] Open
Abstract
Here, we outline detailed protocols to isolate and profile murine splenic dendritic cells (DCs) through advanced flow cytometry of the myeloid compartment and single-cell transcriptomic profiling with integrated cell surface protein expression through CITE-seq. This protocol provides a general transferrable road map for different tissues and species. For complete details on the use and execution of this protocol, please refer to Lukowski et al. (2021). Protocol to obtain integrated single-cell gene and protein expression data Optimized flow cytometry panel for confident delineation of six main myeloid lineages Gating strategy identifies large cell state heterogeneity within each lineage
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Affiliation(s)
- Inga Rødahl
- Center for Infectious Medicine, Department of Medicine, Karolinska Institute, Karolinska University Hospital Huddinge, 141 86 Stockholm, Sweden.,The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - James Gotley
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Stacey B Andersen
- The Institute for Molecular Bioscience, The University of Queensland, Woolloongabba, QLD 4067, Australia
| | - Meihua Yu
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Ahmed M Mehdi
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Angelika N Christ
- The Institute for Molecular Bioscience, The University of Queensland, Woolloongabba, QLD 4067, Australia
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Ian H Frazer
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Samuel W Lukowski
- The Institute for Molecular Bioscience, The University of Queensland, Woolloongabba, QLD 4067, Australia
| | - Janin Chandra
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia
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8
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Buckle I, Loaiza Naranjo JD, Bergot AS, Zhang V, Talekar M, Steptoe RJ, Thomas R, Hamilton-Williams EE. Tolerance induction by liposomes targeting a single CD8 epitope IGRP 206-214 in a model of type 1 diabetes is impeded by co-targeting a CD4 + islet epitope. Immunol Cell Biol 2021; 100:33-48. [PMID: 34668580 DOI: 10.1111/imcb.12506] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/06/2021] [Accepted: 10/18/2021] [Indexed: 12/01/2022]
Abstract
The autoimmune disease type 1 diabetes is predominantly mediated by CD8+ cytotoxic T-cell destruction of islet beta cells, of which islet-specific glucose-6-phosphatase catalytic subunit-related protein (IGRP)206-214 is a dominant target antigen specificity. Previously, we found that a liposome-based antigen-specific immunotherapy encapsulating the CD4+ T-cell islet epitope 2.5mim together with the nuclear factor-κB inhibitor calcitriol induced regulatory T cells and protected from diabetes in NOD mice. Here we investigated whether the same system delivering IGRP206-214 could induce antigen-specific CD8+ T-cell-targeted immune regulation and delay diabetes. Subcutaneous administration of IGRP206-214 /calcitriol liposomes transiently activated and expanded IGRP-specific T-cell receptor transgenic 8.3 CD8+ T cells. Liposomal co-delivery of calcitriol was required to optimally suppress endogenous IGRP-specific CD8+ T-cell interferon-γ production and cytotoxicity. Concordantly, a short course of IGRP206-214 /calcitriol liposomes delayed diabetes progression and reduced insulitis. However, when IGRP206-214 /calcitriol liposomes were delivered together with 2.5mim /calcitriol liposomes, disease protection was not observed and the regulatory effect of 2.5mim /calcitriol liposomes was abrogated. Thus, tolerogenic liposomes that target either a dominant CD8+ or a CD4+ T-cell islet epitope can delay diabetes progression but combining multiple epitopes does not enhance protection.
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Affiliation(s)
- Irina Buckle
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Jeniffer D Loaiza Naranjo
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Anne-Sophie Bergot
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Vivian Zhang
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Meghna Talekar
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Raymond J Steptoe
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Ranjeny Thomas
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
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9
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Musthaffa Y, Hamilton-Williams EE, Nel HJ, Bergot AS, Mehdi AM, Harris M, Thomas R. Proinsulin-specific T-cell responses correlate with estimated c-peptide and predict partial remission duration in type 1 diabetes. Clin Transl Immunology 2021; 10:e1315. [PMID: 34336205 PMCID: PMC8312239 DOI: 10.1002/cti2.1315] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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: 02/18/2021] [Revised: 05/20/2021] [Accepted: 06/27/2021] [Indexed: 12/11/2022] Open
Abstract
Objective Type 1 diabetes (T1D) is an autoimmune disorder in which autoreactive T cells destroy insulin-producing β-cells. Interventions that preserve β-cell function represent a fundamental therapeutic goal in T1D and biomarkers that predict and monitor β-cell function, and changes in islet autoantigenic signatures are needed. As proinsulin and neoantigens derived from proinsulin peptides (hybrid insulin peptides, HIPs) are important T1D autoantigens, we analysed peripheral blood CD4+ T-cell autoantigen-specific proliferative responses and their relationship to estimated β-cell function. Methods We recruited 72 people with and 42 without T1D, including 17 pre-diabetic islet antibody-positive and 9 antibody-negative first-degree relatives and 16 unrelated healthy controls with T1D-risk HLA types. We estimated C-peptide level at 3-month intervals for 2 years post-diagnosis and measured CD4+ T-cell proliferation to proinsulin epitopes and HIPs using an optimised bioassay. Results We show that CD4+ T-cell proliferation to any islet peptide and to multiple epitopes were significantly more frequent in pre-diabetic islet antibody-positive siblings and participants with T1D ≤ 3 months of duration, than in participants with T1D > 3 months or healthy controls. Among participants with T1D and first-degree relatives, CD4+ T-cell proliferation occurred most frequently in response to proinsulin33-63 (full-length C-peptide). Proinsulin33-63-specific responses were associated with HLA-DR3-DQ2 and/or HLA-DR4/DQ8. In children with T1D, proinsulin33-63-specific T-cell proliferation positively associated with concurrent estimated C-peptide and predicted survival in honeymoon. Conclusion CD4+ T-cell proliferative responses to proinsulin-containing autoantigens are common before and immediately after diagnosis of T1D but decline thereafter. Proinsulin33-63-specific CD4+ T-cell response is a novel marker of estimated residual endogenous β-cell function and predicts a better 2-year disease outcome.
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Affiliation(s)
- Yassmin Musthaffa
- Department of Endocrinology and Diabetes Queensland Children's Hospital South Brisbane QLD Australia.,The University of Queensland Diamantina Institute The University of Queensland Brisbane QLD Australia
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute The University of Queensland Brisbane QLD Australia
| | - Hendrik J Nel
- The University of Queensland Diamantina Institute The University of Queensland Brisbane QLD Australia
| | - Anne-Sophie Bergot
- The University of Queensland Diamantina Institute The University of Queensland Brisbane QLD Australia
| | - Ahmed M Mehdi
- The University of Queensland Diamantina Institute The University of Queensland Brisbane QLD Australia
| | - Mark Harris
- Department of Endocrinology and Diabetes Queensland Children's Hospital South Brisbane QLD Australia.,The University of Queensland Diamantina Institute The University of Queensland Brisbane QLD Australia
| | - Ranjeny Thomas
- The University of Queensland Diamantina Institute The University of Queensland Brisbane QLD Australia
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10
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Gavin PG, Wong J, Loo D, Zipris D, Hill MM, Hamilton-Williams EE. Metaproteomic sample preparation methods bias the recovery of host and microbial proteins according to taxa and cellular compartment. J Proteomics 2021; 240:104219. [PMID: 33831598 DOI: 10.1016/j.jprot.2021.104219] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 03/26/2021] [Accepted: 03/27/2021] [Indexed: 02/07/2023]
Abstract
Faecal proteomics studies have focussed on identification of microbial proteins, however; stool represents a valuable resource to interrogate the host interactions with the microbiota without the need for invasive intestinal biopsies. As the widely used enrichment method (differential centrifugation, DC) enriches for microbial proteins, we compared two other methods for enrichment of host proteins, termed 'host enriched' (HE) and ALL (all proteins). The HE and ALL protocols identified 1.8-fold more host proteins than DC while detecting a similar number of microbial proteins, but the methods had limited overlap in the specific microbial proteins detected. To maximize identification of both host and microbial proteins, samples were subjected to HE and the remaining material was used to perform DC. These two fractions displayed large differences in relative taxonomic abundance and cellular compartmentalization, with proteins from Bacteroidales and extracellular vesicles were enriched in the soluble HE component. The combination of data generated from these two fractions may allow identification of more distinct proteins than simply performing samples in duplicate or more complex fractionation techniques, or a single fraction could be chosen to suit the experimental hypothesis. SIGNIFICANCE: We compared how different stool protein preparation methods influenced the taxonomic and functional characteristics of microbial and host proteins identified. Surprisingly, a method designed to enrich for host proteins recovered a similar number of microbial protein groups to the method that specifically enriched intact bacterial cells. However, the taxonomic and subcellular origin of the microbial proteins differed considerably between the methods. By implementing a two-step method, we could maximize recovery of both host and microbial proteins derived from different cellular compartments and taxa.
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Affiliation(s)
- Patrick G Gavin
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Justin Wong
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Dorothy Loo
- Translational Research Institute, Woolloongabba, QLD, Australia
| | - Danny Zipris
- Innate Biotechnologies, LLC, Denver, CO 80231, United States of America
| | - Michelle M Hill
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia; Correspondence should be addressed to A/Prof Emma Hamilton-Williams, The University of Queensland Diamantina Institute, 37 Kent St, Woolloongabba, QLD 4102, Australia.
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11
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Hamilton-Williams EE, Lorca GL, Norris JM, Dunne JL. A Triple Threat? The Role of Diet, Nutrition, and the Microbiota in T1D Pathogenesis. Front Nutr 2021; 8:600756. [PMID: 33869260 PMCID: PMC8046917 DOI: 10.3389/fnut.2021.600756] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [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: 08/31/2020] [Accepted: 03/08/2021] [Indexed: 12/11/2022] Open
Abstract
In recent years the role of the intestinal microbiota in health and disease has come to the forefront of medical research. Alterations in the intestinal microbiota and several of its features have been linked to numerous diseases, including type 1 diabetes (T1D). To date, studies in animal models of T1D, as well as studies in human subjects, have linked several intestinal microbiota alterations with T1D pathogenesis. Features that are most often linked with T1D pathogenesis include decreased microbial diversity, the relative abundance of specific strains of individual microbes, and altered metabolite production. Alterations in these features as well as others have provided insight into T1D pathogenesis and shed light on the potential mechanism by which the microbiota plays a role in T1D pathogenesis, yet the underlying factors leading to these alterations remains unknown. One potential mechanism for alteration of the microbiota is through diet and nutrition. Previous studies have shown associations of diet with islet autoimmunity, but a direct contributing factor has yet to be identified. Diet, through introduction of antigens and alteration of the composition and function of the microbiota, may elicit the immune system to produce autoreactive responses that result in the destruction of the beta cells. Here, we review the evidence associating diet induced changes in the intestinal microbiota and their contribution to T1D pathogenesis. We further provide a roadmap for determining the effect of diet and other modifiable factors on the entire microbiota ecosystem, including its impact on both immune and beta cell function, as it relates to T1D. A greater understanding of the complex interactions between the intestinal microbiota and several interacting systems in the body (immune, intestinal integrity and function, metabolism, beta cell function, etc.) may provide scientifically rational approaches to prevent development of T1D and other childhood immune and allergic diseases and biomarkers to evaluate the efficacy of interventions.
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Affiliation(s)
- Emma E. Hamilton-Williams
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Graciela L. Lorca
- Microbiology and Cell Science Department, Genetics Institute, Institute of Food and Agricultural Science, University of Florida, Gainesville, FL, United States
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
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12
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Yap YA, McLeod KH, McKenzie CI, Gavin PG, Davalos-Salas M, Richards JL, Moore RJ, Lockett TJ, Clarke JM, Eng VV, Pearson JS, Hamilton-Williams EE, Mackay CR, Mariño E. An acetate-yielding diet imprints an immune and anti-microbial programme against enteric infection. Clin Transl Immunology 2021; 10:e1233. [PMID: 33489123 PMCID: PMC7809703 DOI: 10.1002/cti2.1233] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [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: 01/15/2020] [Revised: 11/16/2020] [Accepted: 12/09/2020] [Indexed: 12/19/2022] Open
Abstract
Objectives During gastrointestinal infection, dysbiosis can result in decreased production of microbially derived short‐chain fatty acids (SCFAs). In response to the presence of intestinal pathogens, we examined whether an engineered acetate‐ or butyrate‐releasing diet can rectify the deficiency of SCFAs and lead to the resolution of enteric infection. Methods We tested whether a high acetate‐ or butyrate‐producing diet (HAMSA or HAMSB, respectively) condition Citrobacterrodentium infection in mice and assess its impact on host‐microbiota interactions. We analysed the adaptive and innate immune responses, changes in gut microbiome function, epithelial barrier function and the molecular mechanism via metabolite sensing G protein‐coupled receptor 43 (GPR43) and IL‐22 expression. Results HAMSA diet rectified the deficiency in acetate production and protected against enteric infection. Increased SCFAs affect the expression of pathogen virulence genes. HAMSA diet promoted compositional and functional changes in the gut microbiota during infection similar to healthy microbiota from non‐infected mice. Bacterial changes were evidenced by the production of proteins involved in acetate utilisation, starch and sugar degradation, amino acid biosynthesis, carbohydrate transport and metabolism. HAMSA diet also induced changes in host proteins critical in glycolysis, wound healing such as GPX1 and epithelial architecture such as EZR1 and PFN1. Dietary acetate assisted in rapid epithelial repair, as shown by increased colonic Muc‐2, Il‐22, and anti‐microbial peptides. We found that acetate increased numbers of colonic IL‐22 producing TCRαβ+CD8αβ+ and TCRγδ+CD8αα+ intraepithelial lymphocytes expressing GPR43. Conclusion HAMSA diet may be an effective therapeutic approach for fighting inflammation and enteric infections and offer a safe alternative that may impact on human health.
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Affiliation(s)
- Yu Anne Yap
- Department of Biochemistry and Molecular Biology Infection and Immunity Program Biomedicine Discovery Institute Monash University Clayton, Melbourne VIC Australia
| | - Keiran H McLeod
- Department of Biochemistry and Molecular Biology Infection and Immunity Program Biomedicine Discovery Institute Monash University Clayton, Melbourne VIC Australia
| | - Craig I McKenzie
- Department of Biochemistry and Molecular Biology Infection and Immunity Program Biomedicine Discovery Institute Monash University Clayton, Melbourne VIC Australia
| | - Patrick G Gavin
- The University of Queensland Diamantina Institute The University of Queensland Brisbane QLD Australia
| | - Mercedes Davalos-Salas
- Department of Biochemistry and Molecular Biology Infection and Immunity Program Biomedicine Discovery Institute Monash University Clayton, Melbourne VIC Australia
| | - James L Richards
- Department of Biochemistry and Molecular Biology Infection and Immunity Program Biomedicine Discovery Institute Monash University Clayton, Melbourne VIC Australia
| | - Robert J Moore
- Department of Microbiology Infection and Immunity Program Biomedicine Discovery Institute Monash University Clayton, Melbourne VIC Australia.,School of Science RMIT University Bundoora VIC Australia
| | | | | | - Vik Ven Eng
- Department of Microbiology Infection and Immunity Program Biomedicine Discovery Institute Monash University Clayton, Melbourne VIC Australia.,Centre for Innate Immunity and Infectious Diseases Hudson Institute of Medical Research Clayton, Melbourne VIC Australia
| | - Jaclyn S Pearson
- Department of Microbiology Infection and Immunity Program Biomedicine Discovery Institute Monash University Clayton, Melbourne VIC Australia.,Centre for Innate Immunity and Infectious Diseases Hudson Institute of Medical Research Clayton, Melbourne VIC Australia.,Department of Molecular and Translational Research Monash University Clayton, Melbourne VIC Australia
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute The University of Queensland Brisbane QLD Australia
| | - Charles R Mackay
- Department of Microbiology Infection and Immunity Program Biomedicine Discovery Institute Monash University Clayton, Melbourne VIC Australia
| | - Eliana Mariño
- Department of Biochemistry and Molecular Biology Infection and Immunity Program Biomedicine Discovery Institute Monash University Clayton, Melbourne VIC Australia
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13
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Musthaffa Y, Nel HJ, Ramnoruth N, Patel S, Hamilton-Williams EE, Harris M, Thomas R. Optimization of a Method to Detect Autoantigen-Specific T-Cell Responses in Type 1 Diabetes. Front Immunol 2020; 11:587469. [PMID: 33424839 PMCID: PMC7793893 DOI: 10.3389/fimmu.2020.587469] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 07/26/2020] [Accepted: 11/02/2020] [Indexed: 12/02/2022] Open
Abstract
The development of tolerizing therapies aiming to inactivate autoreactive effector T-cells is a promising therapeutic approach to control undesired autoimmune responses in human diseases such as Type 1 Diabetes (T1D). A critical issue is a lack of sensitive and reproducible methods to analyze antigen-specific T-cell responses, despite various attempts. We refined a proliferation assay using the fluorescent dye 5,6-carboxylfluorescein diacetate succinimidyl ester (CFSE) to detect responding T-cells, highlighting the fundamental issues to be taken into consideration to monitor antigen-specific responses in patients with T1D. The critical elements that maximize detection of antigen-specific responses in T1D are reduction of blood storage time, standardization of gating parameters, titration of CFSE concentration, selecting the optimal CFSE staining duration and the duration of T-cell stimulation, and freezing in medium containing human serum. Optimization of these elements enables robust, reproducible application to longitudinal cohort studies or clinical trial samples in which antigen-specific T-cell responses are relevant, and adaptation to other autoimmune diseases.
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Affiliation(s)
- Yassmin Musthaffa
- Department of Endocrinology and Diabetes, Queensland Children's Hospital, South Brisbane, QLD, Australia.,The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Hendrik J Nel
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Nishta Ramnoruth
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Swati Patel
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Mark Harris
- Department of Endocrinology and Diabetes, Queensland Children's Hospital, South Brisbane, QLD, Australia.,The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Ranjeny Thomas
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
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14
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Abstract
PURPOSE OF REVIEW Antigen-specific immunotherapy (ASI) is a long sought-after goal for type 1 diabetes (T1D), with the potential of greater long-term safety than non-specific immunotherapy. We review the most recent advances in identification of target islet epitopes, delivery platforms and the ongoing challenges. RECENT FINDINGS It is now recognised that human proinsulin contains a hotspot of epitopes targeted in people with T1D. Beta-cell neoantigens are also under investigation as ASI target epitopes. Consideration of the predicted HLA-specificity of the target antigen for subject selection is now being incorporated into trial design. Cell-free ASI approaches delivering antigen with or without additional immunomodulatory agents can induce antigen-specific regulatory T cell responses, including in patients and many novel nanoparticle-based platforms are under development. ASI for T1D is rapidly advancing with a number of modalities currently being trialled in patients and many more under development in preclinical models.
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Affiliation(s)
- Jeniffer D Loaiza Naranjo
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, 4102, Australia
| | - Anne-Sophie Bergot
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, 4102, Australia
| | - Irina Buckle
- Mater Research Institute UQ, The University of Queensland, Woolloongabba, QLD, 4102, Australia
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, 4102, Australia.
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15
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Bergot AS, Buckle I, Cikaluru S, Naranjo JL, Wright CM, Zheng G, Talekar M, Hamilton-Williams EE, Thomas R. Regulatory T Cells Induced by Single-Peptide Liposome Immunotherapy Suppress Islet-Specific T Cell Responses to Multiple Antigens and Protect from Autoimmune Diabetes. J Immunol 2020; 204:1787-1797. [PMID: 32111734 DOI: 10.4049/jimmunol.1901128] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 01/27/2020] [Indexed: 12/20/2022]
Abstract
Ag-specific tolerizing immunotherapy is considered the optimal strategy to control type 1 diabetes, a childhood disease involving autoimmunity toward multiple islet antigenic peptides. To understand whether tolerizing immunotherapy with a single peptide could control diabetes driven by multiple Ags, we coencapsulated the high-affinity CD4+ mimotope (BDC2.5mim) of islet autoantigen chromogranin A (ChgA) with or without calcitriol (1α,25-dihydroxyvitamin D3) into liposomes. After liposome administration, we followed the endogenous ChgA-specific immune response with specific tetramers. Liposome administration s.c., but not i.v., induced ChgA-specific Foxp3+ and Foxp3- PD1+ CD73+ ICOS+ IL-10+ peripheral regulatory T cells in prediabetic mice, and liposome administration at the onset of hyperglycemia significantly delayed diabetes progression. After BDC2.5mim/calcitriol liposome administration, adoptive transfer of CD4+ T cells suppressed the development of diabetes in NOD severe combined immunodeficiency mice receiving diabetogenic splenocytes. After BDC2.5mim/calcitriol liposome treatment and expansion of ChgA-specific peripheral regulatory T cells. IFN-γ production and expansion of islet-specific glucose-6-phosphatase catalytic subunit-related protein-specific CD8+ T cells were also suppressed in pancreatic draining lymph node, demonstrating bystander tolerance at the site of Ag presentation. Thus, liposomes encapsulating the single CD4+ peptide, BDC2.5mim, and calcitriol induce ChgA-specific CD4+ T cells that regulate CD4+ and CD8+ self-antigen specificities and autoimmune diabetes in NOD mice.
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Affiliation(s)
- Anne-Sophie Bergot
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Queensland 4102, Australia
| | - Irina Buckle
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Queensland 4102, Australia
| | - Sumana Cikaluru
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Queensland 4102, Australia
| | - Jennifer Loaiza Naranjo
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Queensland 4102, Australia
| | - Casey Maree Wright
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Queensland 4102, Australia
| | - Guoliang Zheng
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Queensland 4102, Australia
| | - Meghna Talekar
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Queensland 4102, Australia
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Queensland 4102, Australia
| | - Ranjeny Thomas
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Queensland 4102, Australia
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16
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Craig ME, Kim KW, Isaacs SR, Penno MA, Hamilton-Williams EE, Couper JJ, Rawlinson WD. Early-life factors contributing to type 1 diabetes. Diabetologia 2019; 62:1823-1834. [PMID: 31451871 DOI: 10.1007/s00125-019-4942-x] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 05/21/2019] [Indexed: 12/17/2022]
Abstract
The incidence of type 1 diabetes has increased since the mid-twentieth century at a rate that is too rapid to be attributed to genetic predisposition alone. While the disease can occur at any age, mounting evidence from longitudinal cohort studies of at-risk children indicate that type 1 diabetes associated autoantibodies can be present from the first year of life, and that those who develop type 1 diabetes at a young age have a more aggressive form of the disease. This corroborates the hypothesis that environmental exposures in early life contribute to type 1 diabetes risk, whether related to maternal influences on the fetus during pregnancy, neonatal factors or later effects during infancy and early childhood. Studies to date show a range of environmental triggers acting at different time points, suggesting a multifactorial model of genetic and environmental factors in the pathogenesis of type 1 diabetes, which integrally involves a dialogue between the immune system and pancreatic beta cells. For example, breastfeeding may have a weak protective effect on type 1 diabetes risk, while use of an extensively hydrolysed formula does not. Additionally, exposure to being overweight pre-conception, both in utero and postnatally, is associated with increased risk of type 1 diabetes. Epidemiological, clinical and pathological studies in humans support a role for viral infections, particularly enteroviruses, in type 1 diabetes, but definitive proof is lacking. The role of the early microbiome and its perturbations in islet autoimmunity and type 1 diabetes is the subject of investigation in ongoing cohort studies. Understanding the interactions between environmental exposures and the human genome and metagenome, particularly across ethnically diverse populations, will be critical for the development of future strategies for primary prevention of type 1 diabetes.
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Affiliation(s)
- Maria E Craig
- School of Women's and Children's Health, University of New South Wales Faculty of Medicine, Sydney, NSW, Australia.
- Institute of Endocrinology and Diabetes, Children's Hospital at Westmead, Locked Bag 4001, Westmead, Sydney, NSW, 2145, Australia.
- Discipline of Child and Adolescent Health, University of Sydney, Sydney, NSW, Australia.
| | - Ki Wook Kim
- School of Women's and Children's Health, University of New South Wales Faculty of Medicine, Sydney, NSW, Australia
- Virology Research Laboratory, Prince of Wales Hospital Randwick, Sydney, NSW, Australia
| | - Sonia R Isaacs
- School of Women's and Children's Health, University of New South Wales Faculty of Medicine, Sydney, NSW, Australia
- Virology Research Laboratory, Prince of Wales Hospital Randwick, Sydney, NSW, Australia
| | - Megan A Penno
- Robinson Research Institute, School of Paediatrics and Reproductive Health, University of Adelaide, Adelaide, SA, Australia
- Department of Endocrinology and Diabetes, Women's and Children's Hospital, Adelaide, SA, Australia
| | - Emma E Hamilton-Williams
- University of Queensland Diamantina Institute, University of Queensland, Translational Research Institute, Brisbane, QLD, Australia
| | - Jennifer J Couper
- Robinson Research Institute, School of Paediatrics and Reproductive Health, University of Adelaide, Adelaide, SA, Australia
- Department of Endocrinology and Diabetes, Women's and Children's Hospital, Adelaide, SA, Australia
| | - William D Rawlinson
- School of Women's and Children's Health, University of New South Wales Faculty of Medicine, Sydney, NSW, Australia
- Virology Research Laboratory, Prince of Wales Hospital Randwick, Sydney, NSW, Australia
- Serology and Virology Division, NSW Health Pathology, Prince of Wales Hospital, Sydney, NSW, Australia
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Abstract
PURPOSE OF REVIEW Evidence is mounting that disturbances in the gut microbiota play a role in the rising incidence of type 1 diabetes (T1D) and new technologies are expanding our ability to understand microbial function and host interactions. Longitudinal data from large cohorts of children at risk of T1D are nor solidifying our understanding of the function of the microbiota in this disease. RECENT FINDINGS Although taxonomic changes in the gut microbiota associated with T1D are relatively modest, a functional defect in production of short-chain fatty acids (SCFAs) remains as a unifying feature across multiple studies and populations. Dysbiosis of the microbiota in T1D has been linked to decreased gut barrier and exocrine pancreas function. We explore factors contributing to the disturbed microbiota in T1D such as infant diet, probiotic use and genetic risk linked to defective immune regulation. We also discuss the interplay between immunotherapy, the gut immune response and the microbiota. SUMMARY Functional alterations in the microbiota are linked to pathogenesis of T1D and these findings provide a rationale for future investigations aimed at establishing a healthy microbiota and promoting SCFA production and prevention of T1D.
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Affiliation(s)
- Patrick G Gavin
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, Queensland, Australia
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Mullaney JA, Stephens JE, Geeling BE, Hamilton-Williams EE. Early-life exposure to gut microbiota from disease-protected mice does not impact disease outcome in type 1 diabetes susceptible NOD mice. Immunol Cell Biol 2018; 97:97-103. [DOI: 10.1111/imcb.12201] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 09/04/2018] [Accepted: 09/05/2018] [Indexed: 12/14/2022]
Affiliation(s)
- Jane A Mullaney
- The University of Queensland Diamantina Institute; University of Queensland; Translational Research Institute; Brisbane QLD Australia
| | - Juliette E Stephens
- The University of Queensland Diamantina Institute; University of Queensland; Translational Research Institute; Brisbane QLD Australia
| | - Brooke E Geeling
- The University of Queensland Diamantina Institute; University of Queensland; Translational Research Institute; Brisbane QLD Australia
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute; University of Queensland; Translational Research Institute; Brisbane QLD Australia
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Gavin PG, Mullaney JA, Loo D, Cao KAL, Gottlieb PA, Hill MM, Zipris D, Hamilton-Williams EE. Intestinal Metaproteomics Reveals Host-Microbiota Interactions in Subjects at Risk for Type 1 Diabetes. Diabetes Care 2018; 41:2178-2186. [PMID: 30100563 PMCID: PMC6150433 DOI: 10.2337/dc18-0777] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 07/16/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Dysbiosis of the gut microbiota has been linked to disease pathogenesis in type 1 diabetes, yet the functional consequences to the host of this dysbiosis are unknown. We investigated the functional interactions between the microbiota and the host associated with type 1 diabetes disease risk. RESEARCH DESIGN AND METHODS We performed a cross-sectional analysis of stool samples from subjects with recent-onset type 1 diabetes (n = 33), islet autoantibody-positive subjects (n = 17), low-risk autoantibody-negative subjects (n = 29), and healthy subjects (n = 22). Metaproteomic analysis was used to identify gut- and pancreas-derived host and microbial proteins, and these data were integrated with sequencing-based microbiota profiling. RESULTS Both human (host-derived) proteins and microbial-derived proteins could be used to differentiate new-onset and islet autoantibody-positive subjects from low-risk subjects. Significant alterations were identified in the prevalence of host proteins associated with exocrine pancreas output, inflammation, and mucosal function. Integrative analysis showed that microbial taxa associated with host proteins involved in maintaining function of the mucous barrier, microvilli adhesion, and exocrine pancreas were depleted in patients with new-onset type 1 diabetes. CONCLUSIONS These data support that patients with type 1 diabetes have increased intestinal inflammation and decreased barrier function. They also confirmed that pancreatic exocrine dysfunction occurs in new-onset type 1 diabetes and show for the first time that this dysfunction is present in high-risk individuals before disease onset. The data identify a unique type 1 diabetes-associated signature in stool that may be useful as a means to monitor disease progression or response to therapies aimed at restoring a healthy microbiota.
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Affiliation(s)
- Patrick G Gavin
- The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
| | - Jane A Mullaney
- The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
| | - Dorothy Loo
- Translational Research Institute, Brisbane, Queensland, Australia
| | - Kim-Anh Lê Cao
- The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
| | - Peter A Gottlieb
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, CO
| | - Michelle M Hill
- The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
| | - Danny Zipris
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, CO
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
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Mullaney JA, Stephens JE, Costello ME, Fong C, Geeling BE, Gavin PG, Wright CM, Spector TD, Brown MA, Hamilton-Williams EE. Correction to: Type 1 diabetes susceptibility alleles are associated with distinct alterations in the gut microbiota. Microbiome 2018; 6:51. [PMID: 29558994 PMCID: PMC5859709 DOI: 10.1186/s40168-018-0438-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 03/12/2018] [Indexed: 06/08/2023]
Abstract
Following publication of the original article [1] it came to the attention of the Production Editor that Figs. 1 and 2 had not been replaced with the newly revised figures supplied by the authors (the originals being unusable due to poor quality image and text).
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Affiliation(s)
- Jane A Mullaney
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, QLD, Brisbane, Australia
- AgResearch Limited, Grasslands Research Centre, Palmerston North, New Zealand
| | - Juliette E Stephens
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, QLD, Brisbane, Australia
| | - Mary-Ellen Costello
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, QLD, Brisbane, Australia
| | - Cai Fong
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, QLD, Brisbane, Australia
| | - Brooke E Geeling
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, QLD, Brisbane, Australia
| | - Patrick G Gavin
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, QLD, Brisbane, Australia
| | - Casey M Wright
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, QLD, Brisbane, Australia
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Matthew A Brown
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, QLD, Brisbane, Australia
| | - Emma E Hamilton-Williams
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, QLD, Brisbane, Australia.
- Translational Research Institute, The University of Queensland Diamantina Institute, 37 Kent St, Woolloongabba, QLD, 4102, Australia.
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Mehdi AM, Hamilton-Williams EE, Cristino A, Ziegler A, Bonifacio E, Le Cao KA, Harris M, Thomas R. A peripheral blood transcriptomic signature predicts autoantibody development in infants at risk of type 1 diabetes. JCI Insight 2018. [PMID: 29515040 DOI: 10.1172/jci.insight.98212] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Autoimmune-mediated destruction of pancreatic islet β cells results in type 1 diabetes (T1D). Serum islet autoantibodies usually develop in genetically susceptible individuals in early childhood before T1D onset, with multiple islet autoantibodies predicting diabetes development. However, most at-risk children remain islet-antibody negative, and no test currently identifies those likely to seroconvert. We sought a genomic signature predicting seroconversion risk by integrating longitudinal peripheral blood gene expression profiles collected in high-risk children included in the BABYDIET and DIPP cohorts, of whom 50 seroconverted. Subjects were followed for 10 years to determine time of seroconversion. Any cohort effect and the time of seroconversion were corrected to uncover genes differentially expressed (DE) in seroconverting children. Gene expression signatures associated with seroconversion were evident during the first year of life, with 67 DE genes identified in seroconverting children relative to those remaining antibody negative. These genes contribute to T cell-, DC-, and B cell-related immune responses. Near-birth expression of ADCY9, PTCH1, MEX3B, IL15RA, ZNF714, TENM1, and PLEKHA5, along with HLA risk score predicted seroconversion (AUC 0.85). The ubiquitin-proteasome pathway linked DE genes and T1D susceptibility genes. Therefore, a gene expression signature in infancy predicts risk of seroconversion. Ubiquitination may play a mechanistic role in diabetes progression.
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Affiliation(s)
- Ahmed M Mehdi
- The University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Translational Research Institute, Woolloongabba, Australia
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Translational Research Institute, Woolloongabba, Australia
| | - Alexandre Cristino
- The University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Translational Research Institute, Woolloongabba, Australia
| | - Anette Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum Munchen, Neuherberg, and Forschergruppe Diabetes, Klinikum rechts der Isar, Institut für Diabetesforschung, Neuherberg, Germany
| | - Ezio Bonifacio
- CRTD-DFG Research Center for Regenerative Therapies Dresden, Medical Faculty Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Kim-Anh Le Cao
- The University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Translational Research Institute, Woolloongabba, Australia
| | - Mark Harris
- The University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Translational Research Institute, Woolloongabba, Australia.,Lady Cilento Children's Hospital, South Brisbane, Australia
| | - Ranjeny Thomas
- The University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Translational Research Institute, Woolloongabba, Australia
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Mullaney JA, Stephens JE, Costello ME, Fong C, Geeling BE, Gavin PG, Wright CM, Spector TD, Brown MA, Hamilton-Williams EE. Type 1 diabetes susceptibility alleles are associated with distinct alterations in the gut microbiota. Microbiome 2018; 6:35. [PMID: 29454391 PMCID: PMC5816355 DOI: 10.1186/s40168-018-0417-4] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [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: 07/26/2017] [Accepted: 01/26/2018] [Indexed: 05/29/2023]
Abstract
BACKGROUND Dysbiosis of the gut microbiota has been implicated in the pathogenesis of many autoimmune conditions including type 1 diabetes (T1D). It is unknown whether changes in the gut microbiota observed in T1D are due to environmental drivers, genetic risk factors, or both. Here, we have performed an analysis of associations between the gut microbiota and T1D genetic risk using the non-obese diabetic (NOD) mouse model of T1D and the TwinsUK cohort. RESULTS Through the analysis of five separate colonies of T1D susceptible NOD mice, we identified similarities in NOD microbiome that were independent of animal facility. Introduction of disease protective alleles at the Idd3 and Idd5 loci (IL2, Ctla4, Slc11a1, and Acadl) resulted in significant alterations in the NOD microbiome. Disease-protected strains exhibited a restoration of immune regulatory pathways within the gut which could also be reestablished using IL-2 therapy. Increased T1D disease risk from IL-2 pathway loci in the TwinsUK cohort of human subjects resulted in some similar microbiota changes to those observed in the NOD mouse. CONCLUSIONS These findings demonstrate for the first time that type 1 diabetes-associated genetic variants that restore immune tolerance to islet antigens also result in functional changes in the gut immune system and resultant changes in the microbiota.
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Affiliation(s)
- Jane A. Mullaney
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, Brisbane, QLD Australia
- AgResearch Limited, Grasslands Research Centre, Palmerston North, New Zealand
| | - Juliette E. Stephens
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, Brisbane, QLD Australia
| | - Mary-Ellen Costello
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Brisbane, QLD Australia
| | - Cai Fong
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, Brisbane, QLD Australia
| | - Brooke E. Geeling
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, Brisbane, QLD Australia
| | - Patrick G. Gavin
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, Brisbane, QLD Australia
| | - Casey M. Wright
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, Brisbane, QLD Australia
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, SE1 7EH UK
| | - Matthew A. Brown
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Brisbane, QLD Australia
| | - Emma E. Hamilton-Williams
- Translational Research Institute, The University of Queensland Diamantina Institute, University of Queensland, Brisbane, QLD Australia
- Translational Research Institute, The University of Queensland Diamantina Institute, 37 Kent St, Woolloongabba, QLD 4102 Australia
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Reeves PLS, Rudraraju R, Wong FS, Hamilton-Williams EE, Steptoe RJ. Antigen presenting cell-targeted proinsulin expression converts insulin-specific CD8 + T-cell priming to tolerance in autoimmune-prone NOD mice. Eur J Immunol 2017; 47:1550-1561. [PMID: 28665492 DOI: 10.1002/eji.201747089] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 05/25/2017] [Accepted: 06/23/2017] [Indexed: 11/07/2022]
Abstract
Type 1 diabetes (T1D) results from autoimmune destruction of insulin-producing pancreatic β cells. Therapies need to incorporate strategies to overcome the genetic defects that impair induction or maintenance of peripheral T-cell tolerance and contribute to disease development. We tested whether the enforced expression of an islet autoantigen in antigen-presenting cells (APC) counteracted peripheral T-cell tolerance defects in autoimmune-prone NOD mice. We observed that insulin-specific CD8+ T cells transferred to mice in which proinsulin was transgenically expressed in APCs underwent several rounds of division and the majority were deleted. Residual insulin-specific CD8+ T cells were rendered unresponsive and this was associated with TCR downregulation, loss of tetramer binding and expression of a range of co-inhibitory molecules. Notably, accumulation and effector differentiation of insulin-specific CD8+ T cells in pancreatic lymph nodes was prominent in non-transgenic recipients but blocked by transgenic proinsulin expression. This shift from T-cell priming to T-cell tolerance exemplifies the tolerogenic capacity of autoantigen expression by APC and the capacity to overcome genetic tolerance defects.
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Affiliation(s)
- Peta L S Reeves
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Australia
| | - Rajeev Rudraraju
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Australia
| | - F Susan Wong
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, Wales, UK
| | - Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Australia
| | - Raymond J Steptoe
- The University of Queensland Diamantina Institute, University of Queensland, Brisbane, Australia
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Reeves PL, Rudraraju R, Liu X, Wong FS, Hamilton-Williams EE, Steptoe RJ. APC-targeted proinsulin expression inactivates insulin-specific memory CD8 + T cells in NOD mice. Immunol Cell Biol 2017; 95:765-774. [PMID: 28611473 DOI: 10.1038/icb.2017.48] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 06/05/2017] [Accepted: 06/06/2017] [Indexed: 12/18/2022]
Abstract
Type 1 diabetes (T1D) results from T-cell-mediated autoimmune destruction of pancreatic β cells. Effector T-cell responses emerge early in disease development and expand as disease progresses. Following β-cell destruction, a long-lived T-cell memory is generated that represents a barrier to islet transplantation and other cellular insulin-replacement therapies. Development of effective immunotherapies that control or ablate β-cell destructive effector and memory T-cell responses has the potential to prevent disease progression and recurrence. Targeting antigen expression to antigen-presenting cells inactivates cognate CD8+ effector and memory T-cell responses and has therapeutic potential. Here we investigated this in the context of insulin-specific responses in the non-obese diabetic mouse where genetic immune tolerance defects could impact on therapeutic tolerance induction. Insulin-specific CD8+ memory T cells transferred to mice expressing proinsulin in antigen-presenting cells proliferated in response to transgenically expressed proinsulin and the majority were rapidly deleted. A small proportion of transferred insulin-specific Tmem remained undeleted and these were antigen-unresponsive, exhibited reduced T cell receptor (TCR) expression and H-2Kd/insB15-23 tetramer binding and expressed co-inhibitory molecules. Expression of proinsulin in antigen-presenting cells also abolished the diabetogenic capacity of CD8+ effector T cells. Therefore, destructive insulin-specific CD8+ T cells are effectively inactivated by enforced proinsulin expression despite tolerance defects that exist in diabetes-prone NOD mice. These findings have important implications in developing immunotherapeutic approaches to T1D and other T-cell-mediated autoimmune diseases.
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Affiliation(s)
- Peta Ls Reeves
- The University of Queensland Diamantina Institute, Brisbane, Queensland, Australia
| | - Rajeev Rudraraju
- The University of Queensland Diamantina Institute, Brisbane, Queensland, Australia
| | - Xiao Liu
- The University of Queensland Diamantina Institute, Brisbane, Queensland, Australia
| | - F Susan Wong
- Institute of Molecular &Experimental Medicine, Cardiff University School of Medicine, Cardiff, Wales
| | | | - Raymond J Steptoe
- The University of Queensland Diamantina Institute, Brisbane, Queensland, Australia
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Hamilton-Williams EE, Bergot AS, Reeves PLS, Steptoe RJ. Maintenance of peripheral tolerance to islet antigens. J Autoimmun 2016; 72:118-25. [PMID: 27255733 DOI: 10.1016/j.jaut.2016.05.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2016] [Revised: 05/19/2016] [Accepted: 05/23/2016] [Indexed: 01/04/2023]
Abstract
Reestablishment of immune tolerance to the insulin-producing beta cells is the desired goal for type 1 diabetes (T1D) treatment and prevention. Immune tolerance to multiple islet antigens is defective in individuals with T1D, but the mechanisms involved are multifaceted and may involve loss of thymic and peripheral tolerance. In this review we discuss our current understanding of the varied mechanisms by which peripheral tolerance to islet antigens is maintained in healthy individuals where genetic protection from T1D is present and how this fails in those with genetic susceptibility to disease. Novel findings in regards to expression of neo-islet antigens, non-classical regulatory cell subsets and the impact of specific genetic variants on tolerance induction are discussed.
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Affiliation(s)
- Emma E Hamilton-Williams
- The University of Queensland Diamantina Institute, University of Queensland, Translational Research Institute, Brisbane, QLD, Australia.
| | - Anne-Sophie Bergot
- The University of Queensland Diamantina Institute, University of Queensland, Translational Research Institute, Brisbane, QLD, Australia
| | - Peta L S Reeves
- The University of Queensland Diamantina Institute, University of Queensland, Translational Research Institute, Brisbane, QLD, Australia
| | - Raymond J Steptoe
- The University of Queensland Diamantina Institute, University of Queensland, Translational Research Institute, Brisbane, QLD, Australia
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Hamilton-Williams EE, Rainbow DB, Cheung J, Christensen M, Lyons PA, Peterson LB, Steward CA, Sherman LA, Wicker LS. Fine mapping of type 1 diabetes regions Idd9.1 and Idd9.2 reveals genetic complexity. Mamm Genome 2013; 24:358-75. [PMID: 23934554 PMCID: PMC3824839 DOI: 10.1007/s00335-013-9466-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2013] [Accepted: 07/02/2013] [Indexed: 12/01/2022]
Abstract
Nonobese diabetic (NOD) mice congenic for C57BL/10 (B10)-derived genes in the Idd9 region of chromosome 4 are highly protected from type 1 diabetes (T1D). Idd9 has been divided into three protective subregions (Idd9.1, 9.2, and 9.3), each of which partially prevents disease. In this study we have fine-mapped the Idd9.1 and Idd9.2 regions, revealing further genetic complexity with at least two additional subregions contributing to protection from T1D. Using the NOD sequence from bacterial artificial chromosome clones of the Idd9.1 and Idd9.2 regions as well as whole-genome sequence data recently made available, sequence polymorphisms within the regions highlight a high degree of polymorphism between the NOD and B10 strains in the Idd9 regions. Among numerous candidate genes are several with immunological importance. The Idd9.1 region has been separated into Idd9.1 and Idd9.4, with Lck remaining a candidate gene within Idd9.1. One of the Idd9.2 regions contains the candidate genes Masp2 (encoding mannan-binding lectin serine peptidase 2) and Mtor (encoding mammalian target of rapamycin). From mRNA expression analyses, we have also identified several other differentially expressed candidate genes within the Idd9.1 and Idd9.2 regions. These findings highlight that multiple, relatively small genetic effects combine and interact to produce significant changes in immune tolerance and diabetes onset.
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Affiliation(s)
- Emma E Hamilton-Williams
- Department of Immunology and Microbial Sciences, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA
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Lin X, Hamilton-Williams EE, Rainbow DB, Hunter KM, Dai YD, Cheung J, Peterson LB, Wicker LS, Sherman LA. Genetic interactions among Idd3, Idd5.1, Idd5.2, and Idd5.3 protective loci in the nonobese diabetic mouse model of type 1 diabetes. J Immunol 2013; 190:3109-20. [PMID: 23427248 DOI: 10.4049/jimmunol.1203422] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
In the NOD mouse model of type 1 diabetes, insulin-dependent diabetes (Idd) loci control the development of insulitis and diabetes. Independently, protective alleles of Idd3/Il2 or Idd5 are able to partially protect congenic NOD mice from insulitis and diabetes, and to partially tolerize islet-specific CD8(+) T cells. However, when the two regions are combined, mice are almost completely protected, strongly suggesting the existence of genetic interactions between the two loci. Idd5 contains at least three protective subregions/causative gene candidates, Idd5.1/Ctla4, Idd5.2/Slc11a1, and Idd5.3/Acadl, yet it is unknown which of them interacts with Idd3/Il2. Through the use of a series of novel congenic strains containing the Idd3/Il2 region and different combinations of Idd5 subregion(s), we defined these genetic interactions. The combination of Idd3/Il2 and Idd5.3/Acadl was able to provide nearly complete protection from type 1 diabetes, but all three Idd5 subregions were required to protect from insulitis and fully restore self-tolerance. By backcrossing a Slc11a1 knockout allele onto the NOD genetic background, we have demonstrated that Slc11a1 is responsible for the diabetes protection resulting from Idd5.2. We also used Slc11a1 knockout-SCID and Idd5.2-SCID mice to show that both loss-of-function alleles provide protection from insulitis when expressed on the SCID host alone. These results lend further support to the hypothesis that Slc11a1 is Idd5.2.
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Affiliation(s)
- Xiaotian Lin
- Department of Immunology and Microbial Sciences, The Scripps Research Institute, La Jolla, CA 92037, USA
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Maine CJ, Hamilton-Williams EE, Cheung J, Stanford SM, Bottini N, Wicker LS, Sherman LA. PTPN22 alters the development of regulatory T cells in the thymus. J Immunol 2012; 188:5267-75. [PMID: 22539785 DOI: 10.4049/jimmunol.1200150] [Citation(s) in RCA: 88] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PTPN22 encodes a tyrosine phosphatase that inhibits Src-family kinases responsible for Ag receptor signaling in lymphocytes and is strongly linked with susceptibility to a number of autoimmune diseases. As strength of TCR signal is critical to the thymic selection of regulatory T cells (Tregs), we examined the effect of murine PTPN22 deficiency on Treg development and function. In the thymus, numbers of pre-Tregs and Tregs increased inversely with the level of PTPN22. This increase in Tregs persisted in the periphery and could play a key part in the reduced severity observed in the PTPN22-deficient mice of experimental autoimmune encephalomyelitis, a mouse model of multiple sclerosis. This could explain the lack of association of certain autoimmune conditions with PTPN22 risk alleles.
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Affiliation(s)
- Christian J Maine
- Department of Immunology and Microbial Sciences, The Scripps Research Institute, La Jolla, CA 92037, USA
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Abstract
Type 1 diabetes genes within the interleukin (IL)-2, cytotoxic T-lymphocyte--associated protein 4 (CTLA-4), and natural resistance-associated macrophage protein (NRAMP1) pathways influence development of autoimmune diabetes in humans and NOD mice. In NOD mice, when present together, protective alleles encoding IL-2, Idd3 candidate gene, CTLA-4, NRAMP1, and acetyl-coenzyme A dehydrogenase, long-chain (ACADL) (candidate genes for the Idd5.1, Idd5.2, and Idd5.3 subregions) provide nearly complete diabetes protection. To define where the protective alleles of Idd3 and the Idd5 subregions must be present to protect from diabetes and tolerize islet-specific CD8(+) T cells, SCID mice were reconstituted so that the host and lymphocytes expressed various combinations of protective and susceptibility alleles at Idd3 and Idd5. Although protective Idd3 alleles in the lymphocytes and protective Idd5 alleles in the SCID host contributed most significantly to CD8 tolerance, both were required together in both lymphocyte and nonlymphocyte cells to recapitulate the potent diabetes protection observed in intact Idd3/5 mice. We conclude that genetic regions involved in autoimmune disease are not restricted in their influence to individual cell types. Even a single protective gene product, such as IL-2, must be expressed in both the lymphocytes and dendritic cells to exert its full extent of disease protection. These studies highlight the pleiotropic effects of genes that determine autoimmune disease susceptibility.
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Affiliation(s)
- Emma E. Hamilton-Williams
- Department of Immunology and Microbial Sciences, The Scripps Research Institute, La Jolla, California
| | - Jocelyn Cheung
- Department of Immunology and Microbial Sciences, The Scripps Research Institute, La Jolla, California
| | - Daniel B. Rainbow
- Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, U.K
| | - Kara M. Hunter
- Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, U.K
| | - Linda S. Wicker
- Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, U.K
| | - Linda A. Sherman
- Department of Immunology and Microbial Sciences, The Scripps Research Institute, La Jolla, California
- Corresponding author: Linda A. Sherman,
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Hamilton-Williams EE, Wong SJ, Martinez X, Rainbow DB, Hunter KM, Wicker LS, Sherman LA. Idd9.2 and Idd9.3 protective alleles function in CD4+ T-cells and nonlymphoid cells to prevent expansion of pathogenic islet-specific CD8+ T-cells. Diabetes 2010; 59:1478-86. [PMID: 20299469 PMCID: PMC2874709 DOI: 10.2337/db09-1801] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Multiple type 1 diabetes susceptibility genes have now been identified in both humans and mice, yet mechanistic understanding of how they impact disease pathogenesis is still minimal. We have sought to dissect the cellular basis for how the highly protective mouse Idd9 region limits the expansion of autoreactive CD8(+) T-cells, a key cell type in destruction of the islets. RESEARCH DESIGN AND METHODS We assess the endogenous CD8(+) T-cell repertoire for reactivity to the islet antigen glucose-6-phosphatase-related protein (IGRP). Through the use of adoptively transferred T-cells, bone marrow chimeras, and reconstituted severe combined immunodeficient mice, we identify the protective cell types involved. RESULTS IGRP-specific CD8(+) T-cells are present at low frequency in the insulitic lesions of Idd9 mice and could not be recalled in the periphery by viral expansion. We show that Idd9 genes act extrinsically to the CD8(+) T-cell to prevent the massive expansion of pathogenic effectors near the time of disease onset that occurs in NOD mice. The subregions Idd9.2 and Idd9.3 mediated this effect. Interestingly, the Idd9.1 region, which provides significant protection from disease, did not prevent the expansion of autoreactive CD8(+) T-cells. Expression of Idd9 genes was required by both CD4(+) T-cells and a nonlymphoid cell to induce optimal tolerance. CONCLUSIONS Idd9 protective alleles are associated with reduced expansion of IGRP-specific CD8(+) T-cells. Intrinsic expression of protective Idd9 alleles in CD4(+) T-cells and nonlymphoid cells is required to achieve an optimal level of tolerance. Protective alleles in the Idd9.2 congenic subregion are required for the maximal reduction of islet-specific CD8(+) T-cells.
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Affiliation(s)
- Emma E. Hamilton-Williams
- Department of Immunology and Microbial Sciences, The Scripps Research Institute, La Jolla, California; and
| | - S.B. Justin Wong
- Department of Immunology and Microbial Sciences, The Scripps Research Institute, La Jolla, California; and
| | - Xavier Martinez
- Department of Immunology and Microbial Sciences, The Scripps Research Institute, La Jolla, California; and
| | - Daniel B. Rainbow
- Juveniles Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, U.K
| | - Kara M. Hunter
- Juveniles Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, U.K
| | - Linda S. Wicker
- Juveniles Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, U.K
| | - Linda A. Sherman
- Department of Immunology and Microbial Sciences, The Scripps Research Institute, La Jolla, California; and
- Corresponding author: Linda A. Sherman,
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Hamilton-Williams EE, Martinez X, Clark J, Howlett S, Hunter KM, Rainbow DB, Wen L, Shlomchik MJ, Katz JD, Beilhack GF, Wicker LS, Sherman LA. Expression of diabetes-associated genes by dendritic cells and CD4 T cells drives the loss of tolerance in nonobese diabetic mice. J Immunol 2009; 183:1533-41. [PMID: 19592648 DOI: 10.4049/jimmunol.0900428] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
In humans and NOD mice, defects in immune tolerance result in the spontaneous development of type-1-diabetes. Recent studies have ascribed a breakdown in tolerance to dysfunction in regulatory T cells that is secondary to reduced IL-2 production by T cells having the NOD diabetes susceptibility region insulin-dependent diabetes 3 (Idd3). In this study, we demonstrate a peripheral tolerance defect in the dendritic cells of NOD mice that is independent of regulatory T cells. NOD CD8 T cells specific for islet Ags fail to undergo deletion in the pancreatic lymph nodes. Deletion was promoted by expression of the protective alleles of both Idd3 (Il2) and Idd5 in dendritic cells. We further identify a second tolerance defect that involves endogenous CD4 T cell expression of the disease-promoting NOD alleles of these genetic regions. Pervasive insulitis can be reduced by expression of the Idd3 and Idd5 protective alleles by either the Ag-presenting cell or lymphocytes.
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Affiliation(s)
- Emma E Hamilton-Williams
- Department of Immunology and Microbial Sciences, The Scripps Research Institute, La Jolla, CA 92037, USA
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Heymann F, Meyer-Schwesinger C, Hamilton-Williams EE, Hammerich L, Panzer U, Kaden S, Quaggin SE, Floege J, Gröne HJ, Kurts C. Kidney dendritic cell activation is required for progression of renal disease in a mouse model of glomerular injury. J Clin Invest 2009. [DOI: 10.1172/jci38399c1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Heymann F, Meyer-Schwesinger C, Hamilton-Williams EE, Hammerich L, Panzer U, Kaden S, Quaggin SE, Floege J, Gröne HJ, Kurts C. Kidney dendritic cell activation is required for progression of renal disease in a mouse model of glomerular injury. J Clin Invest 2009; 119:1286-97. [PMID: 19381017 DOI: 10.1172/jci38399] [Citation(s) in RCA: 168] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2008] [Accepted: 03/25/2009] [Indexed: 01/31/2023] Open
Abstract
The progression of kidney disease to renal failure correlates with infiltration of mononuclear immune cells into the tubulointerstitium. These infiltrates contain macrophages, DCs, and T cells, but the role of each cell type in disease progression is unclear. To investigate the underlying immune mechanisms, we generated transgenic mice that selectively expressed the model antigens ovalbumin and hen egg lysozyme in glomerular podocytes (NOH mice). Coinjection of ovalbumin-specific transgenic CD8+ CTLs and CD4+ Th cells into NOH mice resulted in periglomerular mononuclear infiltrates and inflammation of parietal epithelial cells, similar to lesions frequently observed in human chronic glomerulonephritis. Repetitive T cell injections aggravated infiltration and caused progression to structural and functional kidney damage after 4 weeks. Mechanistic analysis revealed that DCs in renal lymph nodes constitutively cross-presented ovalbumin and activated CTLs. These CTLs released further ovalbumin for CTL activation in the lymph nodes and for simultaneous presentation to Th cells by distinct DC subsets residing in the kidney tubulointerstitium. Crosstalk between tubulointerstitial DCs and Th cells resulted in intrarenal cytokine and chemokine production and in recruitment of more CTLs, monocyte-derived DCs, and macrophages. The importance of DCs was established by the fact that DC depletion rapidly resolved established kidney immunopathology. These findings demonstrate that glomerular antigen-specific CTLs and Th cells can jointly induce renal immunopathology and identify kidney DCs as a mechanistic link between glomerular injury and the progression of kidney disease.
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Affiliation(s)
- Felix Heymann
- Institutes for Molecular Medicine and Experimental Immunology, Friedrich-Wilhelms-Universität, Bonn, Germany
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Kurts C, Ludwig-Portugall I, Hamilton-Williams EE, Gottschalk C, Gotot J. Antigen-specific suppression of non-lymphoid tissue auto-antibody production by CD25+ FoxP3+ regulatory T cells (89.22). The Journal of Immunology 2009. [DOI: 10.4049/jimmunol.182.supp.89.22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Abstract
To study how peripheral B cell tolerance against non-lymphoid tissue autoantigens is maintained, we generated transgenic RIP-OVA/HEL (ROH) mice expressing the model antigens, OVA and HEL, in pancreatic islet beta cells. Immunization with OVA/HEL/aluminiumhydroxide induced IgG auto-Ab titers that were much lower than in non-transgenic controls. Depletion of CD25+ cells during immunization completely restored auto-Ab production but did not affect titers against foreign antigens, indicating regulatory tolerance. Purified CD25+ FoxP3+ CD4+ T cells from ROH mice transferred B cell suppression into non-transgenic recipients. CD25+ cells also suppressed naïve transgenic HEL-specific B cells adoptively transferred into ROH mice, confirming peripheral B cell tolerance. B cell suppression mechanistically involved inhibiting the proliferation of autoreactive B cells, inducing their apoptosis after immunization with autoantigen, suppressing antibody secretion per B cell and downregulating IgMa and MHC II B cell surface expression in the autoantigen-draining lymph node. We conclude that CD25+ FoxP3+ regulatory T cells were necessary and sufficient to specifically suppress auto-Ab production against pancreatic islet cell antigens.
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Ludwig-Portugall I, Hamilton-Williams EE, Gotot J, Kurts C. CD25+ T(reg) specifically suppress auto-Ab generation against pancreatic tissue autoantigens. Eur J Immunol 2009; 39:225-33. [PMID: 19130585 DOI: 10.1002/eji.200838699] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
To study B-cell tolerance against non-lymphoid tissue autoantigens, we generated transgenic rat insulin promoter (RIP)-OVA/hen egg lysozyme (HEL) mice expressing the model antigens, OVA and HEL, in pancreatic islets. Their vaccination with OVA or HEL induced far less auto-Ab titers compared with non-transgenic controls. Depletion of CD25(+) cells during immunization completely restored auto-Ab production, but did not affect antibodies against a foreign control antigen. Depletion at later time-points was not effective. OVA-specific CD25(+) FoxP3(+) T(reg) were more frequent in the autoantigen-draining pancreatic LN than in other secondary lymphatics of RIP-OVA/HEL mice. Consistently, B cells were suppressed in that LN and also in the spleen, which is known to concentrate circulating antigen, such as the antigens used for vaccination. Suppression involved preventing expansion of autoreactive B cells in response to autoantigen, reducing antibody production per B-cell and isotype changes. These findings demonstrate that CD25(+) T(reg) suppress auto-Ab production against non-lymphoid tissue antigens in an antigen-specific manner.
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Affiliation(s)
- Isis Ludwig-Portugall
- Institute of Molecular Medicine and Experimental Immunology, Friedrich-Wilhelms-Universität, Bonn, Germany.
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Hamilton-Williams EE, Martinez X, Hunter KM, Rainbow D, Wicker LS, Sherman LA. F.1. Expression of the Diabetes Associated Alleles of Idd3 and Idd5 in DCs Drives Loss of Tolerance in NOD Mice. Clin Immunol 2009. [DOI: 10.1016/j.clim.2009.03.270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Ludwig-Portugall I, Hamilton-Williams EE, Gottschalk C, Kurts C. Cutting edge: CD25+ regulatory T cells prevent expansion and induce apoptosis of B cells specific for tissue autoantigens. J Immunol 2008; 181:4447-51. [PMID: 18802046 DOI: 10.4049/jimmunol.181.7.4447] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
To study the role of CD25(+) regulatory T cells (T(regs)) in peripheral B cell tolerance, we generated transgenic rat insulin promoter RIP-OVA/HEL mice expressing the model Ags OVA and HEL in pancreatic islet beta cells (where RIP is rat insulin promoter and HEL is hen egg lysozyme). Adoptively transferred transgenic OVA-specific CD4(+) and CD8(+) T cells proliferated only in the autoantigen-draining pancreatic lymph node (PLN), demonstrating pancreas-specific Ag expression. Transferred HEL-specific transgenic B cells (IgHEL cells) disappeared within 3 wk from transgenic but not from nontransgenic mice immunized with autoantigen. Depletion of CD25(+) FoxP3(+) cells completely restored IgHEL cell numbers. T(reg) exerted an analogous suppressive effect on endogenous HEL-specific autoreactive B cells. T(regs) acted by inhibiting the proliferation of IgHEL cells in the spleen and PLN and by systemic induction of their apoptosis. Furthermore, they reduced BCR and MHC II surface expression on IgHEL cells in the PLN. These findings demonstrate that autoreactive B cells specific for a nonlymphoid tissue autoantigen are controlled by T(regs).
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Affiliation(s)
- Isis Ludwig-Portugall
- Institute of Molecular Medicine and Experimental Immunology, Friedrich-Wilhelms-Universität, Bonn, Germany.
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Hamilton-Williams EE, Martinez X, Lyman M, Hunter K, Wicker LS, Sherman LA. The use of idd congenic mice to identify checkpoints of peripheral tolerance to islet antigen. Ann N Y Acad Sci 2007; 1103:118-27. [PMID: 17376833 DOI: 10.1196/annals.1394.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [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] [Indexed: 11/12/2022]
Abstract
Type 1 diabetes (T1D) occurs because of lack of T cell tolerance to islet antigens. We hypothesized that critical genetic susceptibility loci that control progression to T1D, designated as insulin-dependent diabetes (Idd) loci, would be responsible for preventing CD8 T cell tolerance. To test this hypothesis, we have used two different congenic non-obese diabetic (NOD) mice that are highly protected from the occurrence of T1D because they express protective alleles at Idd3 and Idd5.1, 5.2, 5.3 (Idd3/5 mice), or at Idd9.1, 9.2, and 9.3 (Idd9 mice). By examining the CD8 T response to two different islet-expressed antigens, we have determined that CD8 T tolerance is restored in both strains of mice. However, tolerance occurs at different checkpoints in each strain. In Idd3/5 mice, islet-antigen-specific CD8 T cells are eliminated in the pancreatic lymph nodes, where they are first activated by cross-presented islet antigens. In contrast, in Idd9 mice autoreactive CD8 T cells accumulate at this site and are not tolerized until after they enter the pancreas. We are currently identifying the cell types and mechanisms that are critical for tolerance induction at each checkpoint.
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Affiliation(s)
- Emma E Hamilton-Williams
- Department of Immunology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
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Benke D, Krüger T, Lang A, Hamilton-Williams EE, Kurts C. Inclusion of Brefeldin A during dendritic cell isolation allows in vitro detection of cross-presented self-antigens. J Immunol Methods 2006; 310:12-9. [PMID: 16510151 DOI: 10.1016/j.jim.2005.10.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2005] [Revised: 10/19/2005] [Accepted: 10/27/2005] [Indexed: 10/25/2022]
Abstract
The mechanism of cross-presentation enables dendritic cells (DC) to induce immunity against intracellular pathogens and to tolerize autoreactive CD8 T cells. The antigen-presenting cells (APCs) responsible for cross-presentation of self-antigens have been identified as CD8alpha(+) CD11c(+) DC. Isolation of these cells has been notoriously difficult, and the resulting responses of T cell hybridomas were too low to permit further studies. Here, we demonstrate that inclusion of Brefeldin A (BfA), an agent reported to block MHC class I-peptide complex turnover on the cell surface, during DC isolation from transgenic RIP-mOVA mice facilitated activation and proliferation of naïve OVA-specific CD8(+) T cells in vitro. CD8alpha(+) DC were more efficient than CD8alpha(-) CD11c(+). BfA also reversibly preserved expression of costimulatory molecules by DC, as evidenced by their expression of costimulatory markers and by an increased stimulatory capacity of DC matured in vivo by LPS. We conclude that the use of BfA notably improves sensitivity of detection of cross-presented self-antigens.
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Affiliation(s)
- Dirk Benke
- Department of Cardiology, University clinic of the Rheinisch-Westfälische Technische Hochschule, Aachen, Germany.
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Hamilton-Williams EE, Lang A, Benke D, Davey GM, Wiesmüller KH, Kurts C. Cutting edge: TLR ligands are not sufficient to break cross-tolerance to self-antigens. J Immunol 2005; 174:1159-63. [PMID: 15661868 DOI: 10.4049/jimmunol.174.3.1159] [Citation(s) in RCA: 54] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Cross-presentation of peripheral self-Ags by dendritic cells (DC) can induce deletion of autoreactive CTL by a mechanism termed cross-tolerance. Activation of DC by microbial TLR ligands is thought to result in adaptive immunity. However, activation of tolerogenic DC may cause autoimmunity by stimulating instead of deleting autoreactive CTL. To investigate this scenario, we have monitored the response of autoreactive CTL in specific for the transgenic self Ag, OVA, expressed in pancreatic islets of RIP-mOVA mice injected with ligands of TLR2, 3, 4, and 9. This somewhat enhanced proliferation and cytokine production, and moderately reduced the CTL number able to induce autoimmunity. Nevertheless, physiological CTL numbers were deleted before disease ensued, unless specific CD4 T cell help was provided. In conclusion, DC activation by TLR ligands was insufficient to break peripheral cross-tolerance in the absence of specific CD4 T cell help, and triggered autoimmunity by stimulating the early effector phase of autoreactive CTL only when their precursor frequency was extremely high.
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MESH Headings
- Adoptive Transfer
- Animals
- Autoantigens/immunology
- CD8-Positive T-Lymphocytes/immunology
- Diabetes Mellitus, Experimental/genetics
- Diabetes Mellitus, Experimental/immunology
- Insulin/genetics
- Ligands
- Lymphocyte Activation/immunology
- Lymphocyte Count
- Membrane Glycoproteins/metabolism
- Membrane Glycoproteins/physiology
- Mice
- Mice, Knockout
- Mice, Transgenic
- Promoter Regions, Genetic/immunology
- Rats
- Receptors, Cell Surface/metabolism
- Receptors, Cell Surface/physiology
- Self Tolerance/immunology
- Stem Cells/immunology
- Stem Cells/pathology
- T-Lymphocytes, Cytotoxic/immunology
- T-Lymphocytes, Helper-Inducer/immunology
- T-Lymphocytes, Helper-Inducer/pathology
- Toll-Like Receptor 2
- Toll-Like Receptors
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Affiliation(s)
- Emma E Hamilton-Williams
- Institute of Molecular Medicine and Experimental Immunology, Friedrich-Wilhelms-Universität, Bonn, Germany
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Krüger T, Benke D, Eitner F, Lang A, Wirtz M, Hamilton-Williams EE, Engel D, Giese B, Müller-Newen G, Floege J, Kurts C. Identification and functional characterization of dendritic cells in the healthy murine kidney and in experimental glomerulonephritis. J Am Soc Nephrol 2004; 15:613-21. [PMID: 14978163 DOI: 10.1097/01.asn.0000114553.36258.91] [Citation(s) in RCA: 203] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
The kidney tubulointerstitium contains numerous bone marrow-derived antigen-presenting cells, which are often referred to as resident tissue macrophages, although several previous studies had demonstrated characteristics of dendritic cells (DC). In this study, we describe a subset of tubulointerstitial cells expressing the DC marker CD11c. A protocol was established to isolate these cells for in vitro analysis. Renal CD11c(+) cells resembled splenic DC, but not peritoneal macrophages, in morphology, lysosomal content, phagocytic activity, microbicidal effector functions, expression of T cell costimulatory molecules, and ability to activate T cells. Nevertheless, many CD11c(+) renal cells expressed low or intermediate levels of F4/80 and CD11b, indicating that both markers are not absolutely specific for macrophages in the kidney. Subpopulations of renal DC could be distinguished based on their expression of MHC class II and costimulatory molecules and may represent different maturation stages. In nephrotoxic glomerulonephritis, increased numbers of CD11c(+) cells showing DC functionality were found in the tubulointerstitium. Focal accumulation was seen within tubulointerstitial mononuclear infiltrates and adjacent to, but not within, inflamed glomeruli. These results are the first to identify and characterize renal CD11c(+) cells as DC and to demonstrate marked changes in experimental glomerulonephritis.
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Affiliation(s)
- Thilo Krüger
- Department of Nephrology and Clinical Immunology, University Clinic of Aachen, Aachen, Germany
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Abstract
Type 1 diabetes occurs as a result of an autoimmune attack on the insulin-producing beta cells. Although CD8 T cells have been implicated both early and late in this process, the requirement for direct interaction between these cells and MHC class I on the beta cells has not been demonstrated. By using nonobese diabetic mice lacking beta cell class I expression, we show that both initiation and progression of insulitis proceeds unperturbed. However, without beta cell class I expression, the vast majority of these mice do not develop hyperglycemia. These findings demonstrate that a direct interaction between CD8 T cells and beta cells is not required for initiation or early disease progression. The requirement for class I on beta cells is a relatively late checkpoint in the development of diabetes.
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Affiliation(s)
- Emma E Hamilton-Williams
- John Curtin School of Medical Research, Australian National University, Canberra 2601, Australia
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Hamilton-Williams EE, Serreze DV, Charlton B, Johnson EA, Marron MP, Mullbacher A, Slattery RM. Transgenic rescue implicates beta2-microglobulin as a diabetes susceptibility gene in nonobese diabetic (NOD) mice. Proc Natl Acad Sci U S A 2001; 98:11533-8. [PMID: 11572996 PMCID: PMC58764 DOI: 10.1073/pnas.191383798] [Citation(s) in RCA: 85] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Type 1 diabetes in both humans and nonobese diabetic (NOD) mice results from T-cell-mediated autoimmune destruction of insulin-producing pancreatic beta cells. Linkage studies have shown that type 1 diabetes in NOD mice is a polygenic disease involving more than 15 chromosomal susceptibility regions. Despite extensive investigation, the identification of individual susceptibility genes either within or outside the major histocompatibility complex region has proven problematic because of the limitations of linkage analysis. In this paper, we provide evidence implicating a single diabetes susceptibility gene, which lies outside the major histocompatibility complex region. Using allelic reconstitution by transgenic rescue, we show that NOD mice expressing the beta(2) microglobulin (beta(2)M)(a) allele develop diabetes, whereas NOD mice expressing a murine beta(2)M(b) or human allele are protected. The murine beta(2)M(a) allele differs from the beta(2)M(b) allele only at a single amino acid. Mechanistic studies indicate that the absence of the NOD beta(2)M(a) isoform on nonhematopoietic cells inhibits the development or activation of diabetogenic T cells.
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