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Fanaropoulou NM, Tsatsani GC, Koufakis T, Kotsa K. Teplizumab: promises and challenges of a recently approved monoclonal antibody for the prevention of type 1 diabetes or preservation of residual beta cell function. Expert Rev Clin Immunol 2024; 20:185-196. [PMID: 37937833 DOI: 10.1080/1744666x.2023.2281990] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 11/07/2023] [Indexed: 11/09/2023]
Abstract
INTRODUCTION Type 1 diabetes (T1D) is a chronic autoimmune endocrinopathy with increasing incidence that results in the depletion of pancreatic beta cells and exogenous insulin dependence. Despite technological advances in insulin delivery, disease control remains suboptimal, while previous immunotherapy options have failed to prevent T1D. Recently, teplizumab, an immunomodulating monoclonal antibody, was approved to delay or prevent T1D. AREAS COVERED Five randomized controlled trials have tested different regimens of administration, mostly 14-day schemes with dose escalation. In participants with new-onset T1D, teplizumab delayed C-peptide decline, improved glycemic control, and reduced insulin demand for a median of 1 or 2 years. Studies in at-risk relatives of patients showed a decrease in T1D incidence during 2 years of follow-up. Subgroups of responders with unique metabolic and immunological characteristics were identified. Mild to moderate adverse effects were reported, including transient rash, cytopenia, nausea, vomiting, and infections. EXPERT OPINION Teplizumab marks a turning point in T1D therapy. Areas of future research include the ideal population for screening, cost-effectiveness, and challenges in treatment accessibility. More studies are essential to evaluate the ideal duration of the regimen, the potential benefit of combinations with other drugs, and to identify endophenotypes with a high probability of response.
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Affiliation(s)
- Nina Maria Fanaropoulou
- School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Georgia C Tsatsani
- School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Theocharis Koufakis
- Second Propaedeutic Department of Internal Medicine, Hippokration General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Kalliopi Kotsa
- Division of Endocrinology and Metabolism and Diabetes Center, First Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
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2
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Ettinger RA, Buitinga M, Vandamme C, Afonso G, Gomez R, Arribas-Layton D, Bissenova S, Speake C, Reijonen H, Kinnunen T, Overbergh L, Mallone R, Kwok WW, James EA. Technical Validation and Utility of an HLA Class II Tetramer Assay for Type 1 Diabetes: A Multicenter Study. J Clin Endocrinol Metab 2023; 109:183-196. [PMID: 37474341 DOI: 10.1210/clinem/dgad434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 06/28/2023] [Accepted: 06/17/2023] [Indexed: 07/22/2023]
Abstract
CONTEXT Validated assays to measure autoantigen-specific T-cell frequency and phenotypes are needed for assessing the risk of developing diabetes, monitoring disease progression, evaluating responses to treatment, and personalizing antigen-based therapies. OBJECTIVE Toward this end, we performed a technical validation of a tetramer assay for HLA-DRA-DRB1*04:01, a class II allele that is strongly associated with susceptibility to type 1 diabetes (T1D). METHODS HLA-DRA-DRB1*04:01-restricted T cells specific for immunodominant epitopes from islet cell antigens GAD65, IGRP, preproinsulin, and ZnT8, and a reference influenza epitope, were enumerated and phenotyped in a single staining tube with a tetramer assay. Single and multicenter testing was performed, using a clone-spiked specimen and replicate samples from T1D patients, with a target coefficient of variation (CV) less than 30%. The same assay was applied to an exploratory cross-sectional sample set with 24 T1D patients to evaluate the utility of the assay. RESULTS Influenza-specific T-cell measurements had mean CVs of 6% for the clone-spiked specimen and 11% for T1D samples in single-center testing, and 20% and 31%, respectively, for multicenter testing. Islet-specific T-cell measurements in these same samples had mean CVs of 14% and 23% for single-center and 23% and 41% for multicenter testing. The cross-sectional study identified relationships between T-cell frequencies and phenotype and disease duration, sex, and autoantibodies. A large fraction of the islet-specific T cells exhibited a naive phenotype. CONCLUSION Our results demonstrate that the assay is reproducible and useful to characterize islet-specific T cells and identify correlations between T-cell measures and clinical traits.
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Affiliation(s)
- Ruth A Ettinger
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA 98101, USA
| | - Mijke Buitinga
- Laboratory for Clinical and Experimental Endocrinology, KU Leuven, 3000 Leuven, Belgium
| | - Céline Vandamme
- Department of Clinical Microbiology, Institute of Clinical Medicine, University of Eastern Finland, 70210 Kuopio, Finland
| | - Georgia Afonso
- Diabetes and Autoimmunity Research Laboratory, Université Paris Cité, Institut Cochin, CNRS, INSERM, 75014 Paris, France
| | - Rebecca Gomez
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA 98101, USA
| | - David Arribas-Layton
- Department of Immunology and Theranostics, City of Hope Medical Center, Beckman Research Institute, Duarte, CA 91010, USA
| | - Samal Bissenova
- Laboratory for Clinical and Experimental Endocrinology, KU Leuven, 3000 Leuven, Belgium
| | - Cate Speake
- Center for Interventional Immunology, Benaroya Research Institute, Seattle, WA 98101, USA
| | - Helena Reijonen
- Department of Immunology and Theranostics, City of Hope Medical Center, Beckman Research Institute, Duarte, CA 91010, USA
| | - Tuure Kinnunen
- Department of Clinical Microbiology, Institute of Clinical Medicine, University of Eastern Finland, 70210 Kuopio, Finland
- Eastern Finland Laboratory Centre (ISLAB), 70210 Kuopio, Finland
| | - Lut Overbergh
- Laboratory for Clinical and Experimental Endocrinology, KU Leuven, 3000 Leuven, Belgium
| | - Roberto Mallone
- Diabetes and Autoimmunity Research Laboratory, Université Paris Cité, Institut Cochin, CNRS, INSERM, 75014 Paris, France
- Department of Internal Medicine, Assistance Publique Hôpitaux de Paris, Service de Diabétologie et Immunologie Clinique, Cochin Hospital, 75014 Paris, France
| | - William W Kwok
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA 98101, USA
| | - Eddie A James
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA 98101, USA
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Shapiro MR, Dong X, Perry DJ, McNichols JM, Thirawatananond P, Posgai AL, Peters LD, Motwani K, Musca RS, Muir A, Concannon P, Jacobsen LM, Mathews CE, Wasserfall CH, Haller MJ, Schatz DA, Atkinson MA, Brusko MA, Bacher R, Brusko TM. Human immune phenotyping reveals accelerated aging in type 1 diabetes. JCI Insight 2023; 8:e170767. [PMID: 37498686 PMCID: PMC10544250 DOI: 10.1172/jci.insight.170767] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 07/19/2023] [Indexed: 07/29/2023] Open
Abstract
The proportions and phenotypes of immune cell subsets in peripheral blood undergo continual and dramatic remodeling throughout the human life span, which complicates efforts to identify disease-associated immune signatures in type 1 diabetes (T1D). We conducted cross-sectional flow cytometric immune profiling on peripheral blood from 826 individuals (stage 3 T1D, their first-degree relatives, those with ≥2 islet autoantibodies, and autoantibody-negative unaffected controls). We constructed an immune age predictive model in unaffected participants and observed accelerated immune aging in T1D. We used generalized additive models for location, shape, and scale to obtain age-corrected data for flow cytometry and complete blood count readouts, which can be visualized in our interactive portal (ImmScape); 46 parameters were significantly associated with age only, 25 with T1D only, and 23 with both age and T1D. Phenotypes associated with accelerated immunological aging in T1D included increased CXCR3+ and programmed cell death 1-positive (PD-1+) frequencies in naive and memory T cell subsets, despite reduced PD-1 expression levels on memory T cells. Phenotypes associated with T1D after age correction were predictive of T1D status. Our findings demonstrate advanced immune aging in T1D and highlight disease-associated phenotypes for biomarker monitoring and therapeutic interventions.
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Affiliation(s)
- Melanie R. Shapiro
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
| | - Xiaoru Dong
- Diabetes Institute and
- Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
| | - Daniel J. Perry
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
| | - James M. McNichols
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
| | - Puchong Thirawatananond
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
| | - Amanda L. Posgai
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
| | - Leeana D. Peters
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
| | - Keshav Motwani
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
| | - Richard S. Musca
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
| | - Andrew Muir
- Department of Pediatrics, Emory University, Atlanta, Georgia, USA
| | - Patrick Concannon
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
- Genetics Institute and
| | - Laura M. Jacobsen
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Clayton E. Mathews
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
| | - Clive H. Wasserfall
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
| | - Michael J. Haller
- Diabetes Institute and
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Desmond A. Schatz
- Diabetes Institute and
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Mark A. Atkinson
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Maigan A. Brusko
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
| | - Rhonda Bacher
- Diabetes Institute and
- Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
| | - Todd M. Brusko
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and
- Diabetes Institute and
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
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Jacobsen LM, Diggins K, Blanchfield L, McNichols J, Perry DJ, Brant J, Dong X, Bacher R, Gersuk VH, Schatz DA, Atkinson MA, Mathews CE, Haller MJ, Long SA, Linsley PS, Brusko TM. Responders to low-dose ATG induce CD4+ T cell exhaustion in type 1 diabetes. JCI Insight 2023; 8:e161812. [PMID: 37432736 PMCID: PMC10543726 DOI: 10.1172/jci.insight.161812] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/06/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUNDLow-dose anti-thymocyte globulin (ATG) transiently preserves C-peptide and lowers HbA1c in individuals with recent-onset type 1 diabetes (T1D); however, the mechanisms of action and features of the response remain unclear. Here, we characterized the post hoc immunological outcomes of ATG administration and their potential use as biomarkers of metabolic response to therapy (i.e., improved preservation of endogenous insulin production).METHODSWe assessed gene and protein expression, targeted gene methylation, and cytokine concentrations in peripheral blood following treatment with ATG (n = 29), ATG plus granulocyte colony-stimulating factor (ATG/G-CSF, n = 28), or placebo (n = 31).RESULTSTreatment with low-dose ATG preserved regulatory T cells (Tregs), as measured by stable methylation of FOXP3 Treg-specific demethylation region (TSDR) and increased proportions of CD4+FOXP3+ Tregs (P < 0.001) identified by flow cytometry. While treatment effects were consistent across participants, not all maintained C-peptide. Responders exhibited a transient rise in IL-6, IP-10, and TNF-α (P < 0.05 for all) 2 weeks after treatment and a durable CD4+ exhaustion phenotype (increased PD-1+KLRG1+CD57- on CD4+ T cells [P = 0.011] and PD1+CD4+ Temra MFI [P < 0.001] at 12 weeks, following ATG and ATG/G-CSF, respectively). ATG nonresponders displayed higher proportions of senescent T cells (at baseline and after treatment) and increased methylation of EOMES (i.e., less expression of this exhaustion marker).CONCLUSIONAltogether in these exploratory analyses, Th1 inflammation-associated serum and CD4+ exhaustion transcript and cellular phenotyping profiles may be useful for identifying signatures of clinical response to ATG in T1D.TRIAL REGISTRATIONClinicalTrials.gov NCT02215200.FUNDINGThe Leona M. and Harry B. Helmsley Charitable Trust (2019PG-T1D011), the NIH (R01 DK106191 Supplement, K08 DK128628), NIH TrialNet (U01 DK085461), and the NIH NIAID (P01 AI042288).
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Affiliation(s)
- Laura M. Jacobsen
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, Florida, USA
| | - Kirsten Diggins
- Benaroya Research Institute at Virginia Mason, Seattle, Washington, USA
| | - Lori Blanchfield
- Benaroya Research Institute at Virginia Mason, Seattle, Washington, USA
| | - James McNichols
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, Florida, USA
| | - Daniel J. Perry
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, Florida, USA
| | - Jason Brant
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, Florida, USA
| | - Xiaoru Dong
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, Florida, USA
- Department of Biostatistics, University of Florida, Gainesville, Florida, USA
| | - Rhonda Bacher
- Department of Biostatistics, University of Florida, Gainesville, Florida, USA
| | - Vivian H. Gersuk
- Benaroya Research Institute at Virginia Mason, Seattle, Washington, USA
| | - Desmond A. Schatz
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Mark A. Atkinson
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, Florida, USA
| | - Clayton E. Mathews
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, Florida, USA
| | - Michael J. Haller
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - S. Alice Long
- Benaroya Research Institute at Virginia Mason, Seattle, Washington, USA
| | - Peter S. Linsley
- Benaroya Research Institute at Virginia Mason, Seattle, Washington, USA
| | - Todd M. Brusko
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, Florida, USA
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5
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Law JC, Watts TH. Considerations for Choosing T Cell Assays during a Pandemic. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 211:169-174. [PMID: 37399079 DOI: 10.4049/jimmunol.2300129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 03/15/2023] [Indexed: 07/05/2023]
Abstract
The appropriate immunosurveillance tools are foundational for the creation of therapeutics, vaccines, and containment strategies when faced with outbreaks of novel pathogens. During the COVID-19 pandemic, there was an urgent need to rapidly assess immune memory following infection or vaccination. Although there have been attempts to standardize cellular assays more broadly, methods for measuring cell-mediated immunity remain variable across studies. Commonly used methods include ELISPOT, intracellular cytokine staining, activation-induced markers, cytokine secretion assays, and peptide-MHC tetramer staining. Although each assay offers unique and complementary information on the T cell response, there are challenges associated with standardizing these assays. The choice of assay can be driven by sample size, the need for high throughput, and the information sought. A combination of approaches may be optimal. This review describes the benefits and limitations of commonly used methods for assessing T cell immunity across SARS-CoV-2 studies.
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Affiliation(s)
- Jaclyn C Law
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Tania H Watts
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
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6
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Poloni C, Schonhofer C, Ivison S, Levings MK, Steiner TS, Cook L. T-cell activation-induced marker assays in health and disease. Immunol Cell Biol 2023; 101:491-503. [PMID: 36825901 PMCID: PMC10952637 DOI: 10.1111/imcb.12636] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 02/18/2023] [Accepted: 02/22/2023] [Indexed: 02/25/2023]
Abstract
Activation-induced marker (AIM) assays have proven to be an accessible and rapid means of antigen-specific T-cell detection. The method typically involves short-term incubation of whole blood or peripheral blood mononuclear cells with antigens of interest, where autologous antigen-presenting cells process and present peptides in complex with major histocompatibility complex (MHC) molecules. Recognition of peptide-MHC complexes by T-cell receptors then induces upregulation of activation markers on the T cells that can be detected by flow cytometry. In this review, we highlight the most widely used activation markers for assays in the literature while identifying nuances and potential downfalls associated with the technique. We provide a summary of how AIM assays have been used in both discovery science and clinical studies, including studies of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunity. This review primarily focuses on AIM assays using human blood or peripheral blood mononuclear cell samples, with some considerations noted for tissue-derived T cells and nonhuman samples. AIM assays are a powerful tool that enables detailed analysis of antigen-specific T-cell frequency, phenotype and function without needing to know the precise antigenic peptides and their MHC restriction elements, enabling a wider analysis of immunity generated following infection and/or vaccination.
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Affiliation(s)
- Chad Poloni
- Division of Infectious Diseases, Department of MedicineUniversity of British ColumbiaVancouverBCCanada
- BC Children's Hospital Research InstituteVancouverBCCanada
| | - Cole Schonhofer
- Division of Infectious Diseases, Department of MedicineUniversity of British ColumbiaVancouverBCCanada
- BC Children's Hospital Research InstituteVancouverBCCanada
| | - Sabine Ivison
- BC Children's Hospital Research InstituteVancouverBCCanada
- Department of SurgeryUniversity of British ColumbiaVancouverBCCanada
| | - Megan K Levings
- BC Children's Hospital Research InstituteVancouverBCCanada
- Department of SurgeryUniversity of British ColumbiaVancouverBCCanada
| | - Theodore S Steiner
- Division of Infectious Diseases, Department of MedicineUniversity of British ColumbiaVancouverBCCanada
- BC Children's Hospital Research InstituteVancouverBCCanada
| | - Laura Cook
- Division of Infectious Diseases, Department of MedicineUniversity of British ColumbiaVancouverBCCanada
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneAustralia
- Department of Critical Care, Melbourne Medical SchoolUniversity of MelbourneMelbourneAustralia
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Krishnamurthy B, Lacorcia M, Kay TWH, Thomas HE, Mannering SI. Monitoring immunomodulation strategies in type 1 diabetes. Front Immunol 2023; 14:1206874. [PMID: 37346035 PMCID: PMC10279879 DOI: 10.3389/fimmu.2023.1206874] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 05/26/2023] [Indexed: 06/23/2023] Open
Abstract
Type 1 diabetes (T1D) is a T-cell mediated autoimmune disease. Short-term treatment with agents targeting T cells, B cells and inflammatory cytokines to modify the disease course resulted in a short-term pause in disease activity. Lessons learnt from these trials will be discussed in this review. It is expected that effective disease-modifying agents will become available for use in earlier stages of T1D. Progress has been made to analyze antigen-specific T cells with standardization of T cell assay and discovery of antigen epitopes but there are many challenges. High-dimensional profiling of gene, protein and TCR expression at single cell level with innovative computational tools should lead to novel biomarker discovery. With this, assays to detect, quantify and characterize the phenotype and function of antigen-specific T cells will continuously evolve. An improved understanding of T cell responses will help researchers and clinicians to better predict disease onset, and progression, and the therapeutic efficacy of interventions to prevent or arrest T1D.
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Affiliation(s)
- Balasubramanian Krishnamurthy
- Immunology and Diabetes Unit, St Vincent’s Institute, Fitzroy, VIC, Australia
- Department of Medicine, St Vincent’s Hospital, University of Melbourne, Fitzroy, VIC, Australia
| | - Matthew Lacorcia
- Immunology and Diabetes Unit, St Vincent’s Institute, Fitzroy, VIC, Australia
| | - Thomas W. H. Kay
- Immunology and Diabetes Unit, St Vincent’s Institute, Fitzroy, VIC, Australia
- Department of Medicine, St Vincent’s Hospital, University of Melbourne, Fitzroy, VIC, Australia
| | - Helen E. Thomas
- Immunology and Diabetes Unit, St Vincent’s Institute, Fitzroy, VIC, Australia
- Department of Medicine, St Vincent’s Hospital, University of Melbourne, Fitzroy, VIC, Australia
| | - Stuart I. Mannering
- Immunology and Diabetes Unit, St Vincent’s Institute, Fitzroy, VIC, Australia
- Department of Medicine, St Vincent’s Hospital, University of Melbourne, Fitzroy, VIC, Australia
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8
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Arif S, Domingo-Vila C, Pollock E, Christakou E, Williams E, Tree TIM. Monitoring islet specific immune responses in type 1 diabetes clinical immunotherapy trials. Front Immunol 2023; 14:1183909. [PMID: 37283770 PMCID: PMC10240960 DOI: 10.3389/fimmu.2023.1183909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/02/2023] [Indexed: 06/08/2023] Open
Abstract
The number of immunotherapeutic clinical trials in type 1 diabetes currently being conducted is expanding, and thus there is a need for robust immune-monitoring assays which are capable of detecting and characterizing islet specific immune responses in peripheral blood. Islet- specific T cells can serve as biomarkers and as such can guide drug selection, dosing regimens and immunological efficacy. Furthermore, these biomarkers can be utilized in patient stratification which can then benchmark suitability for participation in future clinical trials. This review focusses on the commonly used immune-monitoring techniques including multimer and antigen induced marker assays and the potential to combine these with single cell transcriptional profiling which may provide a greater understanding of the mechanisms underlying immuno-intervention. Although challenges remain around some key areas such as the need for harmonizing assays, technological advances mean that multiparametric information derived from a single sample can be used in coordinated efforts to harmonize biomarker discovery and validation. Moreover, the technologies discussed here have the potential to provide a unique insight on the effect of therapies on key players in the pathogenesis of T1D that cannot be obtained using antigen agnostic approaches.
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Casu A, Grippo PJ, Wasserfall C, Sun Z, Linsley PS, Hamerman JA, Fife BT, Lacy-Hulbert A, Toledo FGS, Hart PA, Papachristou GI, Bellin MD, Yadav D, Laughlin MR, Goodarzi MO, Speake C. Evaluating the Immunopathogenesis of Diabetes After Acute Pancreatitis in the Diabetes RElated to Acute Pancreatitis and Its Mechanisms Study: From the Type 1 Diabetes in Acute Pancreatitis Consortium. Pancreas 2022; 51:580-585. [PMID: 36206462 PMCID: PMC9555855 DOI: 10.1097/mpa.0000000000002076] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
ABSTRACT The association between acute pancreatitis (AP) and diabetes mellitus (DM) has long been established, with the initial descriptions of AP patients presenting with DM after a bout of AP published in the 1940s and 50s. However, the potential mechanisms involved, particularly those components related to the immune system, have not been well defined. The Diabetes RElated to Acute pancreatitis and its Mechanisms (DREAM) study is a multicenter clinical study designed to understand the frequency and phenotype of DM developing after AP. This article describes one objective of the DREAM study: to determine the immunologic mechanisms of DM after AP, including the contribution of β-cell autoimmunity. This component of the study will assess the presence of islet autoimmunity, as well as the magnitude and kinetics of the innate and adaptive immune response at enrollment and during longitudinal follow-up after 1 or more episodes of AP. Finally, DREAM will evaluate the relationship between immune features, DM development, and pancreatitis etiology and severity.
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Affiliation(s)
- Anna Casu
- From the Translational Research Institute, AdventHealth Orlando, Orlando, FL
| | - Paul J Grippo
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Illinois-Chicago, Chicago, IL
| | - Clive Wasserfall
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL
| | - Zhaoli Sun
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Peter S Linsley
- Center for Systems Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA
| | - Jessica A Hamerman
- Center for Fundamental Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA
| | - Brian T Fife
- Department of Medicine, Center for Immunology, University of Minnesota, Minneapolis, MN
| | - Adam Lacy-Hulbert
- Center for Fundamental Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA
| | - Frederico G S Toledo
- Division of Endocrinology and Metabolism, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Phil A Hart
- Division of Gastroenterology, Hepatology, and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH
| | - Georgios I Papachristou
- Division of Gastroenterology, Hepatology, and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH
| | | | - Dhiraj Yadav
- Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Maren R Laughlin
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Cate Speake
- Diabetes Clinical Research Program, Center for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA
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