35
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Comparative Analysis of Protocols to Induce Human CD4+Foxp3+ Regulatory T Cells by Combinations of IL-2, TGF-beta, Retinoic Acid, Rapamycin and Butyrate

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Regulatory T cells (Tregs) suppress other immune cells and are critical mediators of peripheral tolerance. Therapeutic manipulation of Tregs is subject to numerous clinical investigations including trials for adoptive Treg transfer. Since the number of naturally occurring Tregs (nTregs) is minute, it is highly desirable to develop a complementary approach of inducing Tregs (iTregs) from naïve T cells. Mouse studies exemplify the importance of peripherally induced Tregs as well as the applicability of iTreg transfer in different disease models. Yet, procedures to generate iTregs are currently controversial, particularly for human cells. Here we therefore comprehensively compare different established and define novel protocols of human iTreg generation using TGF-β in combination with other compounds. We found that human iTregs expressed several Treg signature molecules, such as Foxp3, CTLA-4 and EOS, while exhibiting low expression of the cytokines Interferon-γ, IL-10 and IL-17. Importantly, we identified a novel combination of TGF-β, retinoic acid and rapamycin as a robust protocol to induce human iTregs with superior suppressive activity in vitro compared to currently established induction protocols. However, iTregs generated by these protocols did not stably retain Foxp3 expression and did not suppress in vivo in a humanized graft- versus-host-disease mouse model, highlighting the need for further research to attain stable, suppressive iTregs. These results advance our understanding of the conditions enabling human iTreg generation and may have important implications for the development of adoptive transfer strategies targeting autoimmune and inflammatory diseases.

          Related collections

          Most cited references67

          • Record: found
          • Abstract: found
          • Article: not found

          Regulatory T cell lineage specification by the forkhead transcription factor foxp3.

          Regulatory T cell-mediated dominant tolerance has been demonstrated to play an important role in the prevention of autoimmunity. Here, we present data arguing that the forkhead transcription factor Foxp3 acts as the regulatory T cell lineage specification factor and mediator of the genetic mechanism of dominant tolerance. We show that expression of Foxp3 is highly restricted to the subset alphabeta of T cells and, irrespective of CD25 expression, correlates with suppressor activity. Induction of Foxp3 expression in nonregulatory T cells does not occur during pathogen-driven immune responses, and Foxp3 deficiency does not impact the functional responses of nonregulatory T cells. Furthermore, T cell-specific ablation of Foxp3 is sufficient to induce the identical early onset lymphoproliferative syndrome observed in Foxp3-deficient mice. Analysis of Foxp3 expression during thymic development suggests that this mechanism is not hard-wired but is dependent on TCR/MHC ligand interactions.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A function for interleukin 2 in Foxp3-expressing regulatory T cells.

            Regulatory T cells (T(reg) cells) expressing the forkhead family transcription factor Foxp3 are critical mediators of dominant immune tolerance to self. Most T(reg) cells constitutively express the high-affinity interleukin 2 (IL-2) receptor alpha-chain (CD25); however, the precise function of IL-2 in T(reg) cell biology has remained controversial. To directly assess the effect of IL-2 signaling on T(reg) cell development and function, we analyzed mice containing the Foxp3(gfp) knock-in allele that were genetically deficient in either IL-2 (Il2(-/-)) or CD25 (Il2ra(-/-)). We found that IL-2 signaling was dispensable for the induction of Foxp3 expression in thymocytes from these mice, which indicated that IL-2 signaling does not have a nonredundant function in the development of T(reg) cells. Unexpectedly, Il2(-/-) and Il2ra(-/-) T(reg) cells were fully able to suppress T cell proliferation in vitro. In contrast, Foxp3 was not expressed in thymocytes or peripheral T cells from Il2rg(-/-) mice. Gene expression analysis showed that IL-2 signaling was required for maintenance of the expression of genes involved in the regulation of cell growth and metabolism. Thus, IL-2 signaling seems to be critically required for maintaining the homeostasis and competitive fitness of T(reg) cells in vivo.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Interleukin-2 and regulatory T cells in graft-versus-host disease.

              Dysfunction of regulatory T (Treg) cells has been detected in diverse inflammatory disorders, including chronic graft-versus-host disease (GVHD). Interleukin-2 is critical for Treg cell growth, survival, and activity. We hypothesized that low-dose interleukin-2 could preferentially enhance Treg cells in vivo and suppress clinical manifestations of chronic GVHD. In this observational cohort study, patients with chronic GVHD that was refractory to glucocorticoid therapy received daily low-dose subcutaneous interleukin-2 (0.3×10(6), 1×10(6), or 3×10(6) IU per square meter of body-surface area) for 8 weeks. The end points were safety and clinical and immunologic response. After a 4-week hiatus, patients with a response could receive interleukin-2 for an extended period. A total of 29 patients were enrolled. None had progression of chronic GVHD or relapse of a hematologic cancer. The maximum tolerated dose of interleukin-2 was 1×10(6) IU per square meter. The highest dose level induced unacceptable constitutional symptoms. Of the 23 patients who could be evaluated for response, 12 had major responses involving multiple sites. The numbers of CD4+ Treg cells were preferentially increased in all patients, with a peak median value, at 4 weeks, that was more than eight times the baseline value (P<0.001), without affecting CD4+ conventional T (Tcon) cells. The Treg:Tcon ratio increased to a median of more than five times the baseline value (P<0.001). The Treg cell count and Treg:Tcon ratio remained elevated at 8 weeks (P<0.001 for both comparisons with baseline values), then declined when the patients were not receiving interleukin-2. The increased numbers of Treg cells expressed the transcription factor forkhead box P3 (FOXP3) and could inhibit autologous Tcon cells. Immunologic and clinical responses were sustained in patients who received interleukin-2 for an extended period, permitting the glucocorticoid dose to be tapered by a mean of 60% (range, 25 to 100). Daily low-dose interleukin-2 was safely administered in patients with active chronic GVHD that was refractory to glucocorticoid therapy. Administration was associated with preferential, sustained Treg cell expansion in vivo and amelioration of the manifestations of chronic GVHD in a substantial proportion of patients. (Funded by a Dana-Farber Dunkin' Donuts Rising Star award and others; ClinicalTrials.gov number, NCT00529035.).
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                17 February 2016
                2016
                : 11
                : 2
                : e0148474
                Affiliations
                [1 ]Unit of Computational Medicine, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet & Karolinska University Hospital, Stockholm, Sweden
                [2 ]Division of Immunogenetics, Tumor Immunology Program, German Cancer Research Center (DKFZ), Heidelberg, Germany
                University of Lisbon, PORTUGAL
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Wrote the paper: AS. Designed the project: AS. Performed, designed and analyzed all experiments: AS. Provided technical assistance with in vitro and in vivo experiments: ME. Helped with experimental design and performance of in vivo experiments: MS HW. Supervised research and helped with project design: JT. Edited the manuscript: JT HW ME MS.

                Article
                PONE-D-14-38214
                10.1371/journal.pone.0148474
                4757416
                26886923
                6fbc0eeb-17ec-487c-9ba9-afffa3389452
                © 2016 Schmidt et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 August 2014
                : 19 January 2016
                Page count
                Figures: 6, Tables: 0, Pages: 31
                Funding
                This research was supported by a Marie Curie Intra European Fellowship within the 7th European Community Framework Programme (FP7-PEOPLE-2012-IEF; to AS), Dr. Åke Olssons Foundation (AS), KI Research Foundations (AS; JT), Swedish Research Council (JT), CERIC Linné Center (JT), AFA insurance (JT), Stockholm County Council (JT), and Torsten Söderberg Foundation (JT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and life sciences
                Cell biology
                Cellular types
                Animal cells
                Blood cells
                White blood cells
                T cells
                Regulatory T cells
                Biology and life sciences
                Cell biology
                Cellular types
                Animal cells
                Immune cells
                White blood cells
                T cells
                Regulatory T cells
                Biology and life sciences
                Immunology
                Immune cells
                White blood cells
                T cells
                Regulatory T cells
                Medicine and health sciences
                Immunology
                Immune cells
                White blood cells
                T cells
                Regulatory T cells
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Animal Cells
                Blood Cells
                White Blood Cells
                T Cells
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Animal Cells
                Immune Cells
                White Blood Cells
                T Cells
                Biology and Life Sciences
                Immunology
                Immune Cells
                White Blood Cells
                T Cells
                Medicine and Health Sciences
                Immunology
                Immune Cells
                White Blood Cells
                T Cells
                Research and Analysis Methods
                Model Organisms
                Animal Models
                Mouse Models
                Research and Analysis Methods
                Specimen Preparation and Treatment
                Staining
                Cell Staining
                Research and Analysis Methods
                Spectrum Analysis Techniques
                Spectrophotometry
                Cytophotometry
                Flow Cytometry
                Biology and Life Sciences
                Physiology
                Immune Physiology
                Cytokines
                Medicine and Health Sciences
                Physiology
                Immune Physiology
                Cytokines
                Biology and Life Sciences
                Immunology
                Immune System
                Innate Immune System
                Cytokines
                Medicine and Health Sciences
                Immunology
                Immune System
                Innate Immune System
                Cytokines
                Biology and Life Sciences
                Developmental Biology
                Molecular Development
                Cytokines
                Biology and life sciences
                Cell biology
                Chromosome biology
                Chromatin
                Chromatin modification
                DNA methylation
                Biology and life sciences
                Genetics
                Epigenetics
                Chromatin
                Chromatin modification
                DNA methylation
                Biology and life sciences
                Genetics
                Gene expression
                Chromatin
                Chromatin modification
                DNA methylation
                Biology and life sciences
                Genetics
                DNA
                DNA modification
                DNA methylation
                Biology and life sciences
                Biochemistry
                Nucleic acids
                DNA
                DNA modification
                DNA methylation
                Biology and life sciences
                Genetics
                Epigenetics
                DNA modification
                DNA methylation
                Biology and life sciences
                Genetics
                Gene expression
                DNA modification
                DNA methylation
                Biology and Life Sciences
                Developmental Biology
                Cell Differentiation
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article