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Grattoni A, Korbutt G, Tomei AA, García AJ, Pepper AR, Stabler C, Brehm M, Papas K, Citro A, Shirwan H, Millman JR, Melero-Martin J, Graham M, Sefton M, Ma M, Kenyon N, Veiseh O, Desai TA, Nostro MC, Marinac M, Sykes M, Russ HA, Odorico J, Tang Q, Ricordi C, Latres E, Mamrak NE, Giraldo J, Poznansky MC, de Vos P. Harnessing cellular therapeutics for type 1 diabetes mellitus: progress, challenges, and the road ahead. Nat Rev Endocrinol 2025; 21:14-30. [PMID: 39227741 PMCID: PMC11938328 DOI: 10.1038/s41574-024-01029-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/06/2024] [Indexed: 09/05/2024]
Abstract
Type 1 diabetes mellitus (T1DM) is a growing global health concern that affects approximately 8.5 million individuals worldwide. T1DM is characterized by an autoimmune destruction of pancreatic β cells, leading to a disruption in glucose homeostasis. Therapeutic intervention for T1DM requires a complex regimen of glycaemic monitoring and the administration of exogenous insulin to regulate blood glucose levels. Advances in continuous glucose monitoring and algorithm-driven insulin delivery devices have improved the quality of life of patients. Despite this, mimicking islet function and complex physiological feedback remains challenging. Pancreatic islet transplantation represents a potential functional cure for T1DM but is hindered by donor scarcity, variability in harvested cells, aggressive immunosuppressive regimens and suboptimal clinical outcomes. Current research is directed towards generating alternative cell sources, improving transplantation methods, and enhancing cell survival without chronic immunosuppression. This Review maps the progress in cell replacement therapies for T1DM and outlines the remaining challenges and future directions. We explore the state-of-the-art strategies for generating replenishable β cells, cell delivery technologies and local targeted immune modulation. Finally, we highlight relevant animal models and the regulatory aspects for advancing these technologies towards clinical deployment.
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Affiliation(s)
- Alessandro Grattoni
- Department of Nanomedicine, Houston Methodist Research Institute, Houston, TX, USA.
- Department of Surgery, Houston Methodist Hospital, Houston, TX, USA.
- Department of Radiation Oncology, Houston Methodist Hospital, Houston, TX, USA.
| | - Gregory Korbutt
- Alberta Diabetes Institute, University of Alberta, Edmonton, Alberta, Canada
- Department of Surgery, University of Alberta, Edmonton, Alberta, Canada
| | - Alice A Tomei
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
- Department of Biomedical Engineering, University of Miami, Miami, FL, USA
- Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
- Department of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Andrés J García
- Woodruff School of Mechanical Engineering and Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, USA
| | - Andrew R Pepper
- Department of Surgery, University of Alberta, Edmonton, Alberta, Canada
| | - Cherie Stabler
- J. Crayton Pruitt Family Department of Biomedical Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL, USA
- Diabetes Institute, University of Florida, Gainesville, FL, USA
| | - Michael Brehm
- Program in Molecular Medicine, Diabetes Center of Excellence, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Klearchos Papas
- Department of Surgery, The University of Arizona, Tucson, AZ, USA
| | - Antonio Citro
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Haval Shirwan
- Department of Pediatrics, Ellis Fischel Cancer Center, School of Medicine, University of Missouri, Columbia, MO, USA
| | - Jeffrey R Millman
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Juan Melero-Martin
- Department of Cardiac Surgery, Boston Children's Hospital, Boston, MA, USA
- Department of Surgery, Harvard Medical School, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
| | - Melanie Graham
- Department of Surgery, University of Minnesota, Minneapolis, MN, USA
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN, USA
| | - Michael Sefton
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
| | - Minglin Ma
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA
| | - Norma Kenyon
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
- Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Omid Veiseh
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Tejal A Desai
- University of California, San Francisco, Department of Bioengineering and Therapeutic Sciences, San Francisco, CA, USA
- Brown University, School of Engineering, Providence, RI, USA
| | - M Cristina Nostro
- McEwen Stem Cell Institute, University Health Network, Toronto, ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON, Canada
| | | | - Megan Sykes
- Department of Medicine, Columbia Center for Translational Immunology, Columbia University, New York, NY, USA
- Department of Microbiology and Immunology, Columbia University, New York, NY, USA
- Department of Surgery, Columbia University, New York, NY, USA
| | - Holger A Russ
- Diabetes Institute, University of Florida, Gainesville, FL, USA
- Department of Pharmacology and Therapeutics, University of Florida, Gainesville, FL, USA
| | - Jon Odorico
- UW Health Transplant Center, Madison, WI, USA
- Division of Transplantation, Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Qizhi Tang
- Diabetes Center, University of California San Francisco, San Francisco, CA, USA
- Department of Surgery, University of California San Francisco, San Francisco, CA, US
- Gladstone Institute of Genomic Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Camillo Ricordi
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
- Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Esther Latres
- Research Department, Breakthrough T1D, New York, NY, USA
| | | | - Jaime Giraldo
- Research Department, Breakthrough T1D, New York, NY, USA.
| | - Mark C Poznansky
- Vaccine and Immunotherapy Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Paul de Vos
- Immunoendocrinology, Division of Medical Biology, Department of Pathology and Medical Biology, University of Groningen and University Medical Center Groningen, Groningen, Netherlands.
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Purcell AW, Sechi S, DiLorenzo TP. The Evolving Landscape of Autoantigen Discovery and Characterization in Type 1 Diabetes. Diabetes 2019; 68:879-886. [PMID: 31010879 PMCID: PMC6477901 DOI: 10.2337/dbi18-0066] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 01/29/2019] [Indexed: 12/20/2022]
Abstract
Type 1 diabetes (T1D) is an autoimmune disease that is caused, in part, by T cell-mediated destruction of insulin-producing β-cells. High risk for disease, in those with genetic susceptibility, is predicted by the presence of two or more autoantibodies against insulin, the 65-kDa form of glutamic acid decarboxylase (GAD65), insulinoma-associated protein 2 (IA-2), and zinc transporter 8 (ZnT8). Despite this knowledge, we still do not know what leads to the breakdown of tolerance to these autoantigens, and we have an incomplete understanding of T1D etiology and pathophysiology. Several new autoantibodies have recently been discovered using innovative technologies, but neither their potential utility in monitoring disease development and treatment nor their role in the pathophysiology and etiology of T1D has been explored. Moreover, neoantigen generation (through posttranslational modification, the formation of hybrid peptides containing two distinct regions of an antigen or antigens, alternative open reading frame usage, and translation of RNA splicing variants) has been reported, and autoreactive T cells that target these neoantigens have been identified. Collectively, these new studies provide a conceptual framework to understand the breakdown of self-tolerance, if such modifications occur in a tissue- or disease-specific context. A recent workshop sponsored by the National Institute of Diabetes and Digestive and Kidney Diseases brought together investigators who are using new methods and technologies to identify autoantigens and characterize immune responses toward these proteins. Researchers with diverse expertise shared ideas and identified resources to accelerate antigen discovery and the detection of autoimmune responses in T1D. The application of this knowledge will direct strategies for the identification of improved biomarkers for disease progression and treatment response monitoring and, ultimately, will form the foundation for novel antigen-specific therapeutics. This Perspective highlights the key issues that were addressed at the workshop and identifies areas for future investigation.
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Affiliation(s)
- Anthony W Purcell
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Salvatore Sechi
- Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Teresa P DiLorenzo
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY
- Division of Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
- Einstein-Mount Sinai Diabetes Research Center, Albert Einstein College of Medicine, Bronx, NY
- Fleischer Institute for Diabetes and Metabolism, Albert Einstein College of Medicine, Bronx, NY
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4
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Zamboni WC, Szebeni J, Kozlov SV, Lucas AT, Piscitelli JA, Dobrovolskaia MA. Animal models for analysis of immunological responses to nanomaterials: Challenges and considerations. Adv Drug Deliv Rev 2018; 136-137:82-96. [PMID: 30273617 DOI: 10.1016/j.addr.2018.09.012] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 09/21/2018] [Accepted: 09/26/2018] [Indexed: 12/19/2022]
Abstract
Nanotechnology provides many solutions to improve conventional drug delivery and has a unique niche in the areas related to the specific targeting of the immune system, such as immunotherapies and vaccines. Preclinical studies in this field rely heavily on the combination of in vitro and in vivo methods to assess the safety and efficacy of nanotechnology platforms, nanoparticle-formulated drugs, and vaccines. While certain types of toxicities can be evaluated in vitro and good in vitro-in vivo correlation has been demonstrated for such tests, animal studies are still needed to address complex biological questions and, therefore, provide a unique contribution to establishing nanoparticle safety and efficacy profiles. The genetic, metabolic, mechanistic, and phenotypic diversity of currently available animal models often complicates both the animal choice and the interpretation of the results. This review summarizes current knowledge about differences in the immune system function and immunological responses of animals commonly used in preclinical studies of nanomaterials. We discuss challenges, highlight current gaps, and propose recommendations for animal model selection to streamline preclinical analysis of nanotechnology formulations.
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Affiliation(s)
- William C Zamboni
- UNC Eshelman School of Pharmacy, UNC Lineberger Comprehensive Cancer Center, Carolina Center of Cancer Nanotechnology Excellence, the University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
| | - Janos Szebeni
- Nanomedicine Research and Education Center, Institute of Pathophysiology, Semmelweis University and SeroScience Ltd, Nagyvárad tér 4, 1089 Budapest, Hungary; Department of Nanobiotechnology and Regenerative Medicine, Faculty of Health, Miskolc University, Miskolc, Hungary
| | - Serguei V Kozlov
- Laboratory of Animal Sciences Program, Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Andrew T Lucas
- UNC Eshelman School of Pharmacy, UNC Lineberger Comprehensive Cancer Center, Carolina Center of Cancer Nanotechnology Excellence, the University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Joseph A Piscitelli
- UNC Eshelman School of Pharmacy, UNC Lineberger Comprehensive Cancer Center, Carolina Center of Cancer Nanotechnology Excellence, the University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Marina A Dobrovolskaia
- Nanotechnology Characterization Laboratory, Cancer Research Technology Program, Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, United States.
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Racine JJ, Stewart I, Ratiu J, Christianson G, Lowell E, Helm K, Allocco J, Maser RS, Chen YG, Lutz CM, Roopenian D, Schloss J, DiLorenzo TP, Serreze DV. Improved Murine MHC-Deficient HLA Transgenic NOD Mouse Models for Type 1 Diabetes Therapy Development. Diabetes 2018; 67:923-935. [PMID: 29472249 PMCID: PMC5909999 DOI: 10.2337/db17-1467] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 02/12/2018] [Indexed: 02/04/2023]
Abstract
Improved mouse models for type 1 diabetes (T1D) therapy development are needed. T1D susceptibility is restored to normally resistant NOD.β2m-/- mice transgenically expressing human disease-associated HLA-A*02:01 or HLA-B*39:06 class I molecules in place of their murine counterparts. T1D is dependent on pathogenic CD8+ T-cell responses mediated by these human class I variants. NOD.β2m-/--A2.1 mice were previously used to identify β-cell autoantigens presented by this human class I variant to pathogenic CD8+ T cells and for testing therapies to attenuate such effectors. However, NOD.β2m-/- mice also lack nonclassical MHC I family members, including FcRn, required for antigen presentation, and maintenance of serum IgG and albumin, precluding therapies dependent on these molecules. Hence, we used CRISPR/Cas9 to directly ablate the NOD H2-Kd and H2-Db classical class I variants either individually or in tandem (cMHCI-/-). Ablation of the H2-Ag7 class II variant in the latter stock created NOD mice totally lacking in classical murine MHC expression (cMHCI/II-/-). NOD-cMHCI-/- mice retained nonclassical MHC I molecule expression and FcRn activity. Transgenic expression of HLA-A2 or -B39 restored pathogenic CD8+ T-cell development and T1D susceptibility to NOD-cMHCI-/- mice. These next-generation HLA-humanized NOD models may provide improved platforms for T1D therapy development.
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