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dc.contributor.authorKhosravi-Maharlooei, Mohsen
dc.contributor.authorMadley, Rachel
dc.contributor.authorBorsotti, Chiara
dc.contributor.authorFerreira, Leonardo M. R.
dc.contributor.authorSharp, Robert C.
dc.contributor.authorBrehm, Michael A.
dc.contributor.authorGreiner, Dale L.
dc.contributor.authorParent, Audrey V.
dc.contributor.authorAnderson, Mark S.
dc.contributor.authorSykes, Megan
dc.contributor.authorCreusot, Remi J.
dc.date2022-08-11T08:11:04.000
dc.date.accessioned2022-08-23T17:30:32Z
dc.date.available2022-08-23T17:30:32Z
dc.date.issued2021-12-10
dc.date.submitted2022-05-19
dc.identifier.citation<p>Khosravi-Maharlooei M, Madley R, Borsotti C, Ferreira LMR, Sharp RC, Brehm MA, Greiner DL, Parent AV, Anderson MS, Sykes M, Creusot RJ. Modeling human T1D-associated autoimmune processes. Mol Metab. 2022 Feb;56:101417. doi: 10.1016/j.molmet.2021.101417. Epub 2021 Dec 10. PMID: 34902607; PMCID: PMC8739876. <a href="https://doi.org/10.1016/j.molmet.2021.101417">Link to article on publisher's site</a></p>
dc.identifier.issn2212-8778 (Linking)
dc.identifier.doi10.1016/j.molmet.2021.101417
dc.identifier.pmid34902607
dc.identifier.urihttp://hdl.handle.net/20.500.14038/50538
dc.description.abstractBACKGROUND: Type 1 diabetes (T1D) is an autoimmune disease characterized by impaired immune tolerance to beta-cell antigens and progressive destruction of insulin-producing beta-cells. Animal models have provided valuable insights for understanding the etiology and pathogenesis of this disease, but they fall short of reflecting the extensive heterogeneity of the disease in humans, which is contributed by various combinations of risk gene alleles and unique environmental factors. Collectively, these factors have been used to define subgroups of patients, termed endotypes, with distinct predominating disease characteristics. SCOPE OF REVIEW: Here, we review the gaps filled by these models in understanding the intricate involvement and regulation of the immune system in human T1D pathogenesis. We describe the various models developed so far and the scientific questions that have been addressed using them. Finally, we discuss the limitations of these models, primarily ascribed to hosting a human immune system (HIS) in a xenogeneic recipient, and what remains to be done to improve their physiological relevance. MAJOR CONCLUSIONS: To understand the role of genetic and environmental factors or evaluate immune-modifying therapies in humans, it is critical to develop and apply models in which human cells can be manipulated and their functions studied under conditions that recapitulate as closely as possible the physiological conditions of the human body. While microphysiological systems and living tissue slices provide some of these conditions, HIS mice enable more extensive analyses using in vivo systems.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=34902607&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rightsCopyright 2021 The Author(s). Published by Elsevier GmbH. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAutoimmunity
dc.subjectBeta cell destruction
dc.subjectDisease modeling
dc.subjectHumanized mice
dc.subjectIn vitro models
dc.subjectType 1 diabetes
dc.subjectUMCCTS funding
dc.subjectDisease Modeling
dc.subjectEndocrine System Diseases
dc.subjectEndocrinology
dc.subjectEndocrinology, Diabetes, and Metabolism
dc.subjectImmune System Diseases
dc.subjectNutritional and Metabolic Diseases
dc.subjectTranslational Medical Research
dc.titleModeling human T1D-associated autoimmune processes
dc.typeJournal Article
dc.source.journaltitleMolecular metabolism
dc.source.volume56
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1293&amp;context=umccts_pubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/umccts_pubs/283
dc.identifier.contextkey29264564
refterms.dateFOA2022-08-23T17:30:33Z
html.description.abstract<p>BACKGROUND: Type 1 diabetes (T1D) is an autoimmune disease characterized by impaired immune tolerance to beta-cell antigens and progressive destruction of insulin-producing beta-cells. Animal models have provided valuable insights for understanding the etiology and pathogenesis of this disease, but they fall short of reflecting the extensive heterogeneity of the disease in humans, which is contributed by various combinations of risk gene alleles and unique environmental factors. Collectively, these factors have been used to define subgroups of patients, termed endotypes, with distinct predominating disease characteristics.</p> <p>SCOPE OF REVIEW: Here, we review the gaps filled by these models in understanding the intricate involvement and regulation of the immune system in human T1D pathogenesis. We describe the various models developed so far and the scientific questions that have been addressed using them. Finally, we discuss the limitations of these models, primarily ascribed to hosting a human immune system (HIS) in a xenogeneic recipient, and what remains to be done to improve their physiological relevance.</p> <p>MAJOR CONCLUSIONS: To understand the role of genetic and environmental factors or evaluate immune-modifying therapies in humans, it is critical to develop and apply models in which human cells can be manipulated and their functions studied under conditions that recapitulate as closely as possible the physiological conditions of the human body. While microphysiological systems and living tissue slices provide some of these conditions, HIS mice enable more extensive analyses using in vivo systems.</p>
dc.identifier.submissionpathumccts_pubs/283
dc.contributor.departmentProgram in Molecular Medicine, Diabetes Center of Excellence
dc.source.pages101417


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Copyright 2021 The Author(s). Published by Elsevier GmbH. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Except where otherwise noted, this item's license is described as Copyright 2021 The Author(s). Published by Elsevier GmbH. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).