Regulatory vs. inflammatory cytokine T-cell responses to mutated insulin peptides in healthy and type 1 diabetic subjects
Certain class II MHC (MHCII) alleles in mice and humans confer risk for or protection from type 1 diabetes (T1D). Insulin is a major autoantigen in T1D, but how its peptides are presented to CD4 T cells by MHCII risk alleles has been controversial. In the mouse model of T1D, CD4 T cells respond to i...
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Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 112; no. 14; pp. 4429 - 4434 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
National Academy of Sciences
07.04.2015
National Acad Sciences |
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Abstract | Certain class II MHC (MHCII) alleles in mice and humans confer risk for or protection from type 1 diabetes (T1D). Insulin is a major autoantigen in T1D, but how its peptides are presented to CD4 T cells by MHCII risk alleles has been controversial. In the mouse model of T1D, CD4 T cells respond to insulin B-chain peptide (B:9–23) mimotopes engineered to bind the mouse MHCII molecule, IA ᵍ⁷, in an unfavorable position or register. Because of the similarities between IA ᵍ⁷ and human HLA-DQ T1D risk alleles, we examined control and T1D subjects with these risk alleles for CD4 T-cell responses to the same natural B:9–23 peptide and mimotopes. A high proportion of new-onset T1D subjects mounted an inflammatory IFN-γ response much more frequently to one of the mimotope peptides than to the natural peptide. Surprisingly, the control subjects bearing an HLA-DQ risk allele also did. However, these control subjects, especially those with only one HLA-DQ risk allele, very frequently made an IL-10 response, a cytokine associated with regulatory T cells. T1D subjects with established disease also responded to the mimotope rather than the natural B:9–23 peptide in proliferation assays and the proliferating cells were highly enriched in certain T-cell receptor sequences. Our results suggest that the risk of T1D may be related to how an HLA-DQ genotype determines the balance of T-cell inflammatory vs. regulatory responses to insulin, having important implications for the use and monitoring of insulin-specific therapies to prevent diabetes onset.
Significance Certain class II major histocompatibility alleles confer disease risk for type 1 diabetes (T1D). Insulin-specific and other autoantibodies often precede T1D development, but major efforts at disease prevention using insulin preparations (subcutaneous, oral, and intranasal) to induce tolerance have not been effective. Measuring insulin-specific T-cell responses from the peripheral blood has been a challenging feat but would allow for assessment of therapeutic response in these trials. In our study, we report CD4 T-cell responses to a mutated insulin B-chain peptide in new-onset and established T1D as well as control subjects dependent on HLA-DQ genotype. Our results have important implications for the application and monitoring of insulin-specific therapies to prevent diabetes onset. |
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AbstractList | Certain class II MHC (MHCII) alleles in mice and humans confer risk for or protection from type 1 diabetes (T1D). Insulin is a major autoantigen in T1D, but how its peptides are presented to CD4 T cells by MHCII risk alleles has been controversial. In the mouse model of T1D, CD4 T cells respond to insulin B-chain peptide (B:9–23) mimotopes engineered to bind the mouse MHCII molecule, IA ᵍ⁷, in an unfavorable position or register. Because of the similarities between IA ᵍ⁷ and human HLA-DQ T1D risk alleles, we examined control and T1D subjects with these risk alleles for CD4 T-cell responses to the same natural B:9–23 peptide and mimotopes. A high proportion of new-onset T1D subjects mounted an inflammatory IFN-γ response much more frequently to one of the mimotope peptides than to the natural peptide. Surprisingly, the control subjects bearing an HLA-DQ risk allele also did. However, these control subjects, especially those with only one HLA-DQ risk allele, very frequently made an IL-10 response, a cytokine associated with regulatory T cells. T1D subjects with established disease also responded to the mimotope rather than the natural B:9–23 peptide in proliferation assays and the proliferating cells were highly enriched in certain T-cell receptor sequences. Our results suggest that the risk of T1D may be related to how an HLA-DQ genotype determines the balance of T-cell inflammatory vs. regulatory responses to insulin, having important implications for the use and monitoring of insulin-specific therapies to prevent diabetes onset. Certain class II MHC (MHCII) alleles in mice and humans confer risk for or protection from type 1 diabetes (T1D). Insulin is a major autoantigen in T1D, but how its peptides are presented to CD4 T cells by MHCII risk alleles has been controversial. In the mouse model of T1D, CD4 T cells respond to insulin B-chain peptide (B:9–23) mimotopes engineered to bind the mouse MHCII molecule, IA ᵍ⁷, in an unfavorable position or register. Because of the similarities between IA ᵍ⁷ and human HLA-DQ T1D risk alleles, we examined control and T1D subjects with these risk alleles for CD4 T-cell responses to the same natural B:9–23 peptide and mimotopes. A high proportion of new-onset T1D subjects mounted an inflammatory IFN-γ response much more frequently to one of the mimotope peptides than to the natural peptide. Surprisingly, the control subjects bearing an HLA-DQ risk allele also did. However, these control subjects, especially those with only one HLA-DQ risk allele, very frequently made an IL-10 response, a cytokine associated with regulatory T cells. T1D subjects with established disease also responded to the mimotope rather than the natural B:9–23 peptide in proliferation assays and the proliferating cells were highly enriched in certain T-cell receptor sequences. Our results suggest that the risk of T1D may be related to how an HLA-DQ genotype determines the balance of T-cell inflammatory vs. regulatory responses to insulin, having important implications for the use and monitoring of insulin-specific therapies to prevent diabetes onset. Significance Certain class II major histocompatibility alleles confer disease risk for type 1 diabetes (T1D). Insulin-specific and other autoantibodies often precede T1D development, but major efforts at disease prevention using insulin preparations (subcutaneous, oral, and intranasal) to induce tolerance have not been effective. Measuring insulin-specific T-cell responses from the peripheral blood has been a challenging feat but would allow for assessment of therapeutic response in these trials. In our study, we report CD4 T-cell responses to a mutated insulin B-chain peptide in new-onset and established T1D as well as control subjects dependent on HLA-DQ genotype. Our results have important implications for the application and monitoring of insulin-specific therapies to prevent diabetes onset. Certain class II MHC (MHCII) alleles in mice and humans confer risk for or protection from type 1 diabetes (T1D). Insulin is a major autoantigen in T1D, but how its peptides are presented to CD4 T cells by MHCII risk alleles has been controversial. In the mouse model of T1D, CD4 T cells respond to insulin B-chain peptide (B:9-23) mimotopes engineered to bind the mouse MHCII molecule, IA(g7), in an unfavorable position or register. Because of the similarities between IA(g7) and human HLA-DQ T1D risk alleles, we examined control and T1D subjects with these risk alleles for CD4 T-cell responses to the same natural B:9-23 peptide and mimotopes. A high proportion of new-onset T1D subjects mounted an inflammatory IFN-γ response much more frequently to one of the mimotope peptides than to the natural peptide. Surprisingly, the control subjects bearing an HLA-DQ risk allele also did. However, these control subjects, especially those with only one HLA-DQ risk allele, very frequently made an IL-10 response, a cytokine associated with regulatory T cells. T1D subjects with established disease also responded to the mimotope rather than the natural B:9-23 peptide in proliferation assays and the proliferating cells were highly enriched in certain T-cell receptor sequences. Our results suggest that the risk of T1D may be related to how an HLA-DQ genotype determines the balance of T-cell inflammatory vs. regulatory responses to insulin, having important implications for the use and monitoring of insulin-specific therapies to prevent diabetes onset. Certain class II MHC (MHCII) alleles in mice and humans confer risk for or protection from type 1 diabetes (T1D). Insulin is a major autoantigen in T1D, but how its peptides are presented to CD4 T cells by MHCII risk alleles has been controversial. In the mouse model of T1D, CD4 T cells respond to insulin B-chain peptide (B:9-23) mimotopes engineered to bind the mouse MHCII molecule, IA..., in an unfavorable position or register. Because of the similarities between IA... and human HLA-DQ T1D risk alleles, we examined control and T1D subjects with these risk alleles for CD4 T-cell responses to the same natural B:9-23 peptide and mimotopes. A high proportion of new-onset T1D subjects mounted an inflammatory IFN-... response much more frequently to one of the mimotope peptides than to the natural peptide. Surprisingly, the control subjects bearing an HLA-DQ risk allele also did. However, these control subjects, especially those with only one HLA-DQ risk allele, very frequently made an IL-10 response, a cytokine associated with regulatory T cells. T1D subjects with established disease also responded to the mimotope rather than the natural B:9-23 peptide in proliferation assays and the proliferating cells were highly enriched in certain T-cell receptor sequences. Our results suggest that the risk of T1D may be related to how an HLA-DQ genotype determines the balance of T-cell inflammatory vs. regulatory responses to insulin, having important implications for the use and monitoring of insulin-specific therapies to prevent diabetes onset. (ProQuest: ... denotes formulae/symbols omitted.) Certain class II major histocompatibility alleles confer disease risk for type 1 diabetes (T1D). Insulin-specific and other autoantibodies often precede T1D development, but major efforts at disease prevention using insulin preparations (subcutaneous, oral, and intranasal) to induce tolerance have not been effective. Measuring insulin-specific T-cell responses from the peripheral blood has been a challenging feat but would allow for assessment of therapeutic response in these trials. In our study, we report CD4 T-cell responses to a mutated insulin B-chain peptide in new-onset and established T1D as well as control subjects dependent on HLA-DQ genotype. Our results have important implications for the application and monitoring of insulin-specific therapies to prevent diabetes onset. Certain class II MHC (MHCII) alleles in mice and humans confer risk for or protection from type 1 diabetes (T1D). Insulin is a major autoantigen in T1D, but how its peptides are presented to CD4 T cells by MHCII risk alleles has been controversial. In the mouse model of T1D, CD4 T cells respond to insulin B-chain peptide (B:9–23) mimotopes engineered to bind the mouse MHCII molecule, IA g7 , in an unfavorable position or register. Because of the similarities between IA g7 and human HLA-DQ T1D risk alleles, we examined control and T1D subjects with these risk alleles for CD4 T-cell responses to the same natural B:9–23 peptide and mimotopes. A high proportion of new-onset T1D subjects mounted an inflammatory IFN-γ response much more frequently to one of the mimotope peptides than to the natural peptide. Surprisingly, the control subjects bearing an HLA-DQ risk allele also did. However, these control subjects, especially those with only one HLA-DQ risk allele, very frequently made an IL-10 response, a cytokine associated with regulatory T cells. T1D subjects with established disease also responded to the mimotope rather than the natural B:9–23 peptide in proliferation assays and the proliferating cells were highly enriched in certain T-cell receptor sequences. Our results suggest that the risk of T1D may be related to how an HLA-DQ genotype determines the balance of T-cell inflammatory vs. regulatory responses to insulin, having important implications for the use and monitoring of insulin-specific therapies to prevent diabetes onset. Certain class II MHC (MHCII) alleles in mice and humans confer risk for or protection from type 1 diabetes (T1D). Insulin is a major autoantigen in T1D, but how its peptides are presented to CD4 T cells by MHCII risk alleles has been controversial. In the mouse model of T1D, CD4 T cells respond to insulin B-chain peptide (B:9-23) mimotopes engineered to bind the mouse MHCII molecule, IA(g7), in an unfavorable position or register. Because of the similarities between IA(g7) and human HLA-DQ T1D risk alleles, we examined control and T1D subjects with these risk alleles for CD4 T-cell responses to the same natural B:9-23 peptide and mimotopes. A high proportion of new-onset T1D subjects mounted an inflammatory IFN-γ response much more frequently to one of the mimotope peptides than to the natural peptide. Surprisingly, the control subjects bearing an HLA-DQ risk allele also did. However, these control subjects, especially those with only one HLA-DQ risk allele, very frequently made an IL-10 response, a cytokine associated with regulatory T cells. T1D subjects with established disease also responded to the mimotope rather than the natural B:9-23 peptide in proliferation assays and the proliferating cells were highly enriched in certain T-cell receptor sequences. Our results suggest that the risk of T1D may be related to how an HLA-DQ genotype determines the balance of T-cell inflammatory vs. regulatory responses to insulin, having important implications for the use and monitoring of insulin-specific therapies to prevent diabetes onset.Certain class II MHC (MHCII) alleles in mice and humans confer risk for or protection from type 1 diabetes (T1D). Insulin is a major autoantigen in T1D, but how its peptides are presented to CD4 T cells by MHCII risk alleles has been controversial. In the mouse model of T1D, CD4 T cells respond to insulin B-chain peptide (B:9-23) mimotopes engineered to bind the mouse MHCII molecule, IA(g7), in an unfavorable position or register. Because of the similarities between IA(g7) and human HLA-DQ T1D risk alleles, we examined control and T1D subjects with these risk alleles for CD4 T-cell responses to the same natural B:9-23 peptide and mimotopes. A high proportion of new-onset T1D subjects mounted an inflammatory IFN-γ response much more frequently to one of the mimotope peptides than to the natural peptide. Surprisingly, the control subjects bearing an HLA-DQ risk allele also did. However, these control subjects, especially those with only one HLA-DQ risk allele, very frequently made an IL-10 response, a cytokine associated with regulatory T cells. T1D subjects with established disease also responded to the mimotope rather than the natural B:9-23 peptide in proliferation assays and the proliferating cells were highly enriched in certain T-cell receptor sequences. Our results suggest that the risk of T1D may be related to how an HLA-DQ genotype determines the balance of T-cell inflammatory vs. regulatory responses to insulin, having important implications for the use and monitoring of insulin-specific therapies to prevent diabetes onset. Certain class II MHC (MHCII) alleles in mice and humans confer risk for or protection from type 1 diabetes (T1D). Insulin is a major autoantigen in T1D, but how its peptides are presented to CD4 T cells by MHCII risk alleles has been controversial. In the mouse model of T1D, CD4 T cells respond to insulin B-chain peptide (B:9–23) mimotopes engineered to bind the mouse MHCII molecule, IAg7, in an unfavorable position or register. Because of the similarities between IAg7and human HLA-DQ T1D risk alleles, we examined control and T1D subjects with these risk alleles for CD4 T-cell responses to the same natural B:9–23 peptide and mimotopes. A high proportion of new-onset T1D subjects mounted an inflammatory IFN-γ response much more frequently to one of the mimotope peptides than to the natural peptide. Surprisingly, the control subjects bearing an HLA-DQ risk allele also did. However, these control subjects, especially those with only one HLA-DQ risk allele, very frequently made an IL-10 response, a cytokine associated with regulatory T cells. T1D subjects with established disease also responded to the mimotope rather than the natural B:9–23 peptide in proliferation assays and the proliferating cells were highly enriched in certain T-cell receptor sequences. Our results suggest that the risk of T1D may be related to how an HLA-DQ genotype determines the balance of T-cell inflammatory vs. regulatory responses to insulin, having important implications for the use and monitoring of insulin-specific therapies to prevent diabetes onset. |
Author | Snell-Bergeona, Janet K. Davidson, Howard W. Gottlieb, Peter Kappler, John W. Carol, Kiekhaefer Nakayama, Maki McDaniel, Kristen Rewers, Marian Yu, Liping Fitzgerald-Miller, Lisa Michels, Aaron |
Author_xml | – sequence: 1 givenname: Maki surname: Nakayama fullname: Nakayama, Maki organization: Barbara Davis Center for Childhood Diabetes, and Program in Structural Biology and Biophysics,University of Colorado School of Medicine, Aurora, CO 80045 – sequence: 2 givenname: Kristen surname: McDaniel fullname: McDaniel, Kristen organization: Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO 80045 – sequence: 3 givenname: Lisa surname: Fitzgerald-Miller fullname: Fitzgerald-Miller, Lisa organization: Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO 80045 – sequence: 4 givenname: Kiekhaefer surname: Carol fullname: Carol, Kiekhaefer organization: Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO 80045 – sequence: 5 givenname: Janet K. surname: Snell-Bergeona fullname: Snell-Bergeona, Janet K. organization: Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO 80045 – sequence: 6 givenname: Howard W. surname: Davidson fullname: Davidson, Howard W. organization: Barbara Davis Center for Childhood Diabetes, and Program in Structural Biology and Biophysics,University of Colorado School of Medicine, Aurora, CO 80045 – sequence: 7 givenname: Marian surname: Rewers fullname: Rewers, Marian organization: Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO 80045 – sequence: 8 givenname: Liping surname: Yu fullname: Yu, Liping organization: Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO 80045 – sequence: 9 givenname: Peter surname: Gottlieb fullname: Gottlieb, Peter organization: Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO 80045 – sequence: 10 givenname: John W. surname: Kappler fullname: Kappler, John W. organization: Department of Immunology and Microbiology, Program in Structural Biology and Biophysics,University of Colorado School of Medicine, Aurora, CO 80045; Department of Biomedical Research, Howard Hughes Medical Institute, National Jewish Health, Denver, CO 80206 – sequence: 11 givenname: Aaron surname: Michels fullname: Michels, Aaron organization: Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO 80045 |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25831495$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1016/S1074-7613(00)80220-4 10.1073/pnas.1113954108 10.1016/S0140-6736(08)60765-5 10.1001/jama.2013.6285 10.1016/S0140-6736(08)61309-4 10.2337/db10-1419 10.1056/NEJMra0808284 10.1073/pnas.1323436111 10.1038/nri1805 10.1172/JCI19585 10.1002/dmrr.1252 10.1016/S0140-6736(13)60591-7 10.2337/db14-0858 10.1016/S0140-6736(09)60568-7 10.1126/science.288.5465.505 10.1056/NEJMoa012350 10.1073/pnas.1006545107 10.1084/jem.20110574 10.1111/dme.12100 10.2337/diacare.28.7.1630 10.1172/JCI8525 10.1172/JCI31368 10.1073/pnas.1416864111 10.1007/BF01719235 10.1073/pnas.0508621102 10.4049/jimmunol.172.10.5967 10.1073/pnas.94.6.2518 10.1038/nature03625 10.1038/ng.381 10.2337/db12-0057 10.2337/db12-1214 10.2337/db08-0753 10.1038/88694 10.1038/nature03523 |
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DocumentTitleAlternate | Insulin T-cell responses in health and T1D |
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Keywords | CD4 T cells autoimmunity insulin self-tolerance diabetes |
Language | English |
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Notes | http://dx.doi.org/10.1073/pnas.1502967112 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 Contributed by John W. Kappler, February 13, 2015 (sent for review October 10, 2014; reviewed by Mark Peakman and Jay Skyler) Reviewers: M.P., King's College London; and J.S., University of Miami. Author contributions: M.N., P.G., J.W.K., and A.M. designed research; K.M., L.F.-M., C.K., and L.Y. performed research; M.N., J.K.S.-B., J.W.K., and A.M. analyzed data; and M.N., H.W.D., M.R., P.G., J.W.K., and A.M. wrote the paper. |
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References | e_1_3_3_17_2 e_1_3_3_16_2 e_1_3_3_19_2 e_1_3_3_18_2 e_1_3_3_13_2 e_1_3_3_12_2 e_1_3_3_15_2 e_1_3_3_14_2 e_1_3_3_35_2 e_1_3_3_32_2 e_1_3_3_33_2 e_1_3_3_11_2 e_1_3_3_30_2 e_1_3_3_10_2 e_1_3_3_31_2 e_1_3_3_6_2 e_1_3_3_5_2 e_1_3_3_8_2 e_1_3_3_7_2 e_1_3_3_28_2 e_1_3_3_9_2 e_1_3_3_27_2 e_1_3_3_29_2 e_1_3_3_24_2 e_1_3_3_23_2 e_1_3_3_26_2 Yu L (e_1_3_3_34_2) 1996; 81 e_1_3_3_25_2 e_1_3_3_2_2 e_1_3_3_20_2 e_1_3_3_1_2 e_1_3_3_4_2 e_1_3_3_22_2 e_1_3_3_3_2 e_1_3_3_21_2 19369670 - N Engl J Med. 2009 Apr 16;360(16):1646-54 19481249 - Lancet. 2009 Jun 13;373(9680):2027-33 10775108 - Science. 2000 Apr 21;288(5465):505-11 24550292 - Proc Natl Acad Sci U S A. 2014 Feb 18;111(7):2656-61 12037147 - N Engl J Med. 2002 May 30;346(22):1685-91 2010218 - Immunogenetics. 1991;33(3):163-70 15983312 - Diabetes Care. 2005 Jul;28(7):1630-5 21949373 - Proc Natl Acad Sci U S A. 2011 Oct 4;108(40):16729-34 18502302 - Lancet. 2008 May 24;371(9626):1777-82 10894169 - Immunity. 2000 Jun;12(6):699-710 19430480 - Nat Genet. 2009 Jun;41(6):703-7 25157096 - Diabetes. 2015 Jan;64(1):172-82 9122227 - Proc Natl Acad Sci U S A. 1997 Mar 18;94(6):2518-21 24089515 - Diabetes. 2014 Jan;63(1):237-47 16557259 - Nat Rev Immunol. 2006 Apr;6(4):271-82 23780460 - JAMA. 2013 Jun 19;309(23):2473-9 23231526 - Diabet Med. 2013 Feb;30(2):161-9 15889096 - Nature. 2005 May 12;435(7039):224-8 17607359 - J Clin Invest. 2007 Jul;117(7):1835-43 20534455 - Proc Natl Acad Sci U S A. 2010 Jun 15;107(24):10978-83 11376336 - Nat Immunol. 2001 Jun;2(6):501-7 22069260 - Diabetes Metab Res Rev. 2011 Nov;27(8):784-9 8954025 - J Clin Endocrinol Metab. 1996 Dec;81(12):4264-7 15889095 - Nature. 2005 May 12;435(7039):220-3 16339897 - Proc Natl Acad Sci U S A. 2005 Dec 20;102(51):18425-30 18647951 - Diabetes. 2008 Oct;57(10):2858-61 21307077 - Diabetes. 2011 Mar;60(3):1045-9 22517648 - Diabetes. 2012 May;61(5):976-8 14755342 - J Clin Invest. 2004 Feb;113(3):451-63 23890997 - Lancet. 2014 Jan 4;383(9911):69-82 11160133 - J Clin Invest. 2001 Jan;107(2):173-80 15128778 - J Immunol. 2004 May 15;172(10):5967-72 21690251 - J Exp Med. 2011 Jul 4;208(7):1501-10 25267644 - Proc Natl Acad Sci U S A. 2014 Oct 14;111(41):14840-5 18814906 - Lancet. 2008 Nov 15;372(9651):1746-55 |
References_xml | – ident: e_1_3_3_18_2 doi: 10.1016/S1074-7613(00)80220-4 – ident: e_1_3_3_12_2 doi: 10.1073/pnas.1113954108 – ident: e_1_3_3_2_2 doi: 10.1016/S0140-6736(08)60765-5 – ident: e_1_3_3_4_2 doi: 10.1001/jama.2013.6285 – ident: e_1_3_3_7_2 doi: 10.1016/S0140-6736(08)61309-4 – ident: e_1_3_3_33_2 doi: 10.2337/db10-1419 – ident: e_1_3_3_15_2 doi: 10.1056/NEJMra0808284 – volume: 81 start-page: 4264 year: 1996 ident: e_1_3_3_34_2 article-title: Antiislet autoantibodies usually develop sequentially rather than simultaneously publication-title: J Clin Endocrinol Metab – ident: e_1_3_3_31_2 doi: 10.1073/pnas.1323436111 – ident: e_1_3_3_17_2 doi: 10.1038/nri1805 – ident: e_1_3_3_26_2 doi: 10.1172/JCI19585 – ident: e_1_3_3_32_2 doi: 10.1002/dmrr.1252 – ident: e_1_3_3_1_2 doi: 10.1016/S0140-6736(13)60591-7 – ident: e_1_3_3_29_2 doi: 10.2337/db14-0858 – ident: e_1_3_3_3_2 doi: 10.1016/S0140-6736(09)60568-7 – ident: e_1_3_3_19_2 doi: 10.1126/science.288.5465.505 – ident: e_1_3_3_5_2 doi: 10.1056/NEJMoa012350 – ident: e_1_3_3_11_2 doi: 10.1073/pnas.1006545107 – ident: e_1_3_3_13_2 doi: 10.1084/jem.20110574 – ident: e_1_3_3_30_2 doi: 10.1111/dme.12100 – ident: e_1_3_3_6_2 doi: 10.2337/diacare.28.7.1630 – ident: e_1_3_3_8_2 doi: 10.1172/JCI8525 – ident: e_1_3_3_10_2 doi: 10.1172/JCI31368 – ident: e_1_3_3_23_2 doi: 10.1073/pnas.1416864111 – ident: e_1_3_3_35_2 doi: 10.1007/BF01719235 – ident: e_1_3_3_24_2 doi: 10.1073/pnas.0508621102 – ident: e_1_3_3_25_2 doi: 10.4049/jimmunol.172.10.5967 – ident: e_1_3_3_21_2 doi: 10.1073/pnas.94.6.2518 – ident: e_1_3_3_28_2 doi: 10.1038/nature03625 – ident: e_1_3_3_16_2 doi: 10.1038/ng.381 – ident: e_1_3_3_22_2 doi: 10.2337/db12-0057 – ident: e_1_3_3_27_2 doi: 10.2337/db12-1214 – ident: e_1_3_3_14_2 doi: 10.2337/db08-0753 – ident: e_1_3_3_20_2 doi: 10.1038/88694 – ident: e_1_3_3_9_2 doi: 10.1038/nature03523 – reference: 16339897 - Proc Natl Acad Sci U S A. 2005 Dec 20;102(51):18425-30 – reference: 18814906 - Lancet. 2008 Nov 15;372(9651):1746-55 – reference: 21307077 - Diabetes. 2011 Mar;60(3):1045-9 – reference: 24089515 - Diabetes. 2014 Jan;63(1):237-47 – reference: 15889095 - Nature. 2005 May 12;435(7039):220-3 – reference: 15889096 - Nature. 2005 May 12;435(7039):224-8 – reference: 19369670 - N Engl J Med. 2009 Apr 16;360(16):1646-54 – reference: 11160133 - J Clin Invest. 2001 Jan;107(2):173-80 – reference: 2010218 - Immunogenetics. 1991;33(3):163-70 – reference: 23780460 - JAMA. 2013 Jun 19;309(23):2473-9 – reference: 25267644 - Proc Natl Acad Sci U S A. 2014 Oct 14;111(41):14840-5 – reference: 22517648 - Diabetes. 2012 May;61(5):976-8 – reference: 24550292 - Proc Natl Acad Sci U S A. 2014 Feb 18;111(7):2656-61 – reference: 12037147 - N Engl J Med. 2002 May 30;346(22):1685-91 – reference: 18647951 - Diabetes. 2008 Oct;57(10):2858-61 – reference: 18502302 - Lancet. 2008 May 24;371(9626):1777-82 – reference: 25157096 - Diabetes. 2015 Jan;64(1):172-82 – reference: 10775108 - Science. 2000 Apr 21;288(5465):505-11 – reference: 22069260 - Diabetes Metab Res Rev. 2011 Nov;27(8):784-9 – reference: 8954025 - J Clin Endocrinol Metab. 1996 Dec;81(12):4264-7 – reference: 15128778 - J Immunol. 2004 May 15;172(10):5967-72 – reference: 14755342 - J Clin Invest. 2004 Feb;113(3):451-63 – reference: 10894169 - Immunity. 2000 Jun;12(6):699-710 – reference: 17607359 - J Clin Invest. 2007 Jul;117(7):1835-43 – reference: 21690251 - J Exp Med. 2011 Jul 4;208(7):1501-10 – reference: 23890997 - Lancet. 2014 Jan 4;383(9911):69-82 – reference: 16557259 - Nat Rev Immunol. 2006 Apr;6(4):271-82 – reference: 11376336 - Nat Immunol. 2001 Jun;2(6):501-7 – reference: 9122227 - Proc Natl Acad Sci U S A. 1997 Mar 18;94(6):2518-21 – reference: 20534455 - Proc Natl Acad Sci U S A. 2010 Jun 15;107(24):10978-83 – reference: 15983312 - Diabetes Care. 2005 Jul;28(7):1630-5 – reference: 19481249 - Lancet. 2009 Jun 13;373(9680):2027-33 – reference: 19430480 - Nat Genet. 2009 Jun;41(6):703-7 – reference: 21949373 - Proc Natl Acad Sci U S A. 2011 Oct 4;108(40):16729-34 – reference: 23231526 - Diabet Med. 2013 Feb;30(2):161-9 |
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Snippet | Certain class II MHC (MHCII) alleles in mice and humans confer risk for or protection from type 1 diabetes (T1D). Insulin is a major autoantigen in T1D, but... Certain class II major histocompatibility alleles confer disease risk for type 1 diabetes (T1D). Insulin-specific and other autoantibodies often precede T1D... |
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SubjectTerms | Adolescent Adult alleles Amino Acid Sequence Animals autoantibodies Autoantibodies - metabolism Biological Sciences CD4-positive T-lymphocytes CD4-Positive T-Lymphocytes - metabolism Child Cytokines Cytokines - metabolism Diabetes Diabetes Mellitus, Type 1 - metabolism disease prevention Female Genotype HLA-DQ Antigens - genetics Humans Inflammation - metabolism Insulin Insulin - genetics Insulin - metabolism insulin-dependent diabetes mellitus Interferon-gamma - metabolism Interleukin-10 - metabolism Male Mice Mice, Inbred NOD Middle Aged Molecular Sequence Data monitoring Mutation Peptides Receptors, Antigen, T-Cell - metabolism risk Risk assessment Sequence Homology, Amino Acid T cell receptors Young Adult |
Title | Regulatory vs. inflammatory cytokine T-cell responses to mutated insulin peptides in healthy and type 1 diabetic subjects |
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