Abstract
Aims
The development of the immune phenotype in patients with type 1 diabetes (T1D) during the first year following disease onset remains poorly described, and studies analysing the longitudinal development of a complex set of immunological and metabolic parameters are missing. Thus, we aim to provide such complex view in a cohort of 38 children with new onset T1D who were prospectively followed for 1 year.
Methods
All subjects were tested for a set of immunological parameters (complete blood count; serum immunoglobulins; and T, B and dendritic cells), HbA1c and daily insulin dose at baseline and at 6 and 12 months after T1D diagnosis. A mixed meal tolerance test was administered to each of the subjects 12 months after diagnosis, and the C-peptide area under the curve (AUC) was noted and was then tested for association with all immunological parameters.
Results
A gradual decrease in leukocytes (adjusted p = 0.0012) was reflected in a significant decrease in neutrophils (adjusted p = 0.0061) over the post-onset period, whereas Tregs (adjusted p = 0.0205) and originally low pDCs (adjusted p < 0.0001) increased. The expression of the receptor for BAFF (BAFFR) on B lymphocytes (adjusted p = 0.0127) markedly increased after onset. No immunological parameters were associated with C-peptide AUC; however, we observed a linear increase in C-peptide AUC with the age of the patients (p < 0.0001).
Conclusions
Our study documents substantial changes in the innate and adaptive immune system over the first year after disease diagnosis but shows no association between immunological parameters and residual beta-cell activity. The age of patients remains the best predictor of C-peptide AUC, whereas the role of the immune system remains unresolved.
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Abbreviations
- ADA:
-
American Diabetes Association
- ANOVA:
-
Analysis of variance
- AUC:
-
Area under curve
- BAFFR:
-
B-cell activating factor receptor
- BE:
-
Base excess
- BMI:
-
Body mass index
- CD:
-
Cluster of differentiation
- ELISA:
-
Enzyme-linked immunosorbent assay
- GAD65:
-
Glutamate decarboxylase isoform 65
- HbA1c:
-
Haemoglobin A1C
- IA2:
-
Islet antigen 2
- IAA:
-
Insulin autoantibodies
- IFCC:
-
International Federation of Clinical Chemistry
- IFNγ:
-
Interferon γ
- IDAA1c:
-
Insulin dose-adjusted HbA1c
- mDC:
-
Myeloid dendritic cell
- MFI:
-
Mean fluorescence intensity
- MMTT:
-
Mixed meal tolerance test
- PBMC:
-
Peripheral blood mononuclear cell
- pDC:
-
Plasmacytoid dendritic cell
- PMA:
-
Phorbol myristate acetate
- SD:
-
Standard deviation
- T1D:
-
Type 1 diabetes
- TDD:
-
Total daily insulin dose
- Treg:
-
T regulatory lymphocyte
- Th17:
-
T-helper 17 lymphocytes
- Th1:
-
T-helper 1 lymphocytes
- ZnT8:
-
Zinc transporter 8
References
Atkinson MA, Eisenbarth GS, Michels AW (2014) Type 1 diabetes. Lancet 383:69–82. https://doi.org/10.1016/S0140-6736(13)60591-7
Keenan HA, Sun JK, Levine J et al (2010) Residual insulin production and pancreatic ß-cell turnover after 50 years of diabetes: Joslin Medalist Study. Diabetes 59:2846–2853. https://doi.org/10.2337/db10-0676
Greenbaum CJ, Beam CA, Boulware D et al (2012) Fall in C-peptide during first 2 years from diagnosis: evidence of at least two distinct phases from composite type 1 diabetes TrialNet data. Diabetes 61:2066–2073. https://doi.org/10.2337/db11-1538
Arif S, Leete P, Nguyen V et al (2014) Blood and islet phenotypes indicate immunological heterogeneity in type 1 diabetes. Diabetes 63:3835–3845. https://doi.org/10.2337/db14-0365
Krogvold L, Wiberg A, Edwin B et al (2016) Insulitis and characterisation of infiltrating T cells in surgical pancreatic tail resections from patients at onset of type 1 diabetes. Diabetologia 59:492–501. https://doi.org/10.1007/s00125-015-3820-4
Willcox A, Richardson SJ, Bone AJ et al (2009) Analysis of islet inflammation in human type 1 diabetes. Clin Exp Immunol 155:173–181. https://doi.org/10.1111/j.1365-2249.2008.03860.x
Oras A, Peet A, Giese T et al (2019) A study of 51 subtypes of peripheral blood immune cells in newly diagnosed young type 1 diabetes patients. Clin Exp Immunol. https://doi.org/10.1111/cei.13332
Valle A, Giamporcaro GM, Scavini M et al (2013) Reduction of circulating neutrophils precedes and accompanies type 1 diabetes. Diabetes 62:2072–2077. https://doi.org/10.2337/db12-1345
Diana J, Simoni Y, Furio L et al (2013) Crosstalk between neutrophils, B-1a cells and plasmacytoid dendritic cells initiates autoimmune diabetes. Nat Med 19:65–73. https://doi.org/10.1038/nm.3042
Antonelli A, Fallahi P, Ferrari SM et al (2008) Serum Th1 (CXCL10) and Th2 (CCL2) chemokine levels in children with newly diagnosed Type 1 diabetes: A longitudinal study. Diabet Med 25:1349–1353. https://doi.org/10.1111/j.1464-5491.2008.02577.x
Pfleger C, Kaas A, Hansen L et al (2008) Relation of circulating concentrations of chemokine receptor CCR5 ligands to C-peptide, proinsulin and HbA1c and disease progression in type 1 diabetes. Clin Immunol 128:57–65. https://doi.org/10.1016/j.clim.2008.03.458
Nurten E, Vogel M, Michael Kapellen T et al (2018) Omentin-1 and NAMPT serum concentrations are higher and CK-18 levels are lower in children and adolescents with type 1 diabetes when compared to healthy age, sex and BMI matched controls. J Pediatr Endocrinol Metab 31:959–969. https://doi.org/10.1515/jpem-2018-0353
Fitas AL, Martins C, Borrego LM et al (2018) Immune cell and cytokine patterns in children with type 1 diabetes mellitus undergoing a remission phase: a longitudinal study. Pediatr Diabetes 19:963–971
Moya R, Robertson HK, Payne D et al (2016) A pilot study showing associations between frequency of CD4+memory cell subsets at diagnosis and duration of partial remission in type 1 diabetes. Clin Immunol 166–167:72–80. https://doi.org/10.1016/j.clim.2016.04.012
ADA (2019) 2. Classification and diagnosis of diabetes: Standards of medical care in diabetes. Diabetes Care 42:S13–S28. https://doi.org/10.2337/dc19-S002
Petruzelkova L, Ananieva-Jordanova R, Vcelakova J et al (2014) The dynamic changes of zinc transporter 8 autoantibodies in Czech children from the onset of Type 1 diabetes mellitus. Diabet Med 31:165–171. https://doi.org/10.1111/dme.12308
Mortensen HB, Hougaard P, Swift P et al (2009) New definition for the partial remission period in children and adolescents with type 1 diabetes. Diabetes Care 32:1384–1390. https://doi.org/10.2337/dc08-1987
Bloomfield M, Kanderová V, Paračková Z et al (2018) Utility of ruxolitinib in a child with chronic mucocutaneous candidiasis caused by a novel STAT1 gain-of-function mutation. J Clin Immunol 38:589–601. https://doi.org/10.1007/s10875-018-0519-6
Parackova Z, Kayserova J, Danova K et al (2016) T regulatory lymphocytes in type 1 diabetes: Impaired CD25 expression and IL-2 induced STAT5 phosphorylation in pediatric patients. Autoimmunity 49:523–531. https://doi.org/10.1080/08916934.2016.1217998
Kayserova J, Vcelakova J, Stechova K et al (2014) Decreased dendritic cell numbers but increased TLR9-mediated interferon-alpha production in first degree relatives of type 1 diabetes patients. Clin Immunol 153:49–55. https://doi.org/10.1016/j.clim.2014.03.018
Klocperk A, Mejstříková E, Kayserová J et al (2015) Low marginal zone-like B lymphocytes and natural antibodies characterize skewed B-lymphocyte subpopulations in del22q11 DiGeorge patients. Clin Immunol 161:144–149
Vuckovic S, Withers G, Harris M et al (2007) Decreased blood dendritic cell counts in type 1 diabetic children. Clin Immunol 123:281–288. https://doi.org/10.1016/j.clim.2007.03.002
Thompson WS, Pekalski ML, Simons HZ et al (2014) Multi-parametric flow cytometric and genetic investigation of the peripheral B cell compartment in human type 1 diabetes. Clin Exp Immunol 177:571–585. https://doi.org/10.1111/cei.12362
Deng C, Xiang Y, Tan T et al (2016) Altered peripheral B-lymphocyte subsets in type 1 diabetes and latent autoimmune diabetes in adults. Diabetes Care 39:434–440. https://doi.org/10.2337/dc15-1765
Kumar P, Natarajan K, Shanmugam N (2014) High glucose driven expression of pro-inflammatory cytokine and chemokine genes in lymphocytes: Molecular mechanisms of IL-17 family gene expression. Cell Signal 26:528–539. https://doi.org/10.1016/j.cellsig.2013.11.031
Han XQ, Gong ZJ, Xu SQ et al (2014) Advanced glycation end products promote differentiation of CD4+T helper cells toward pro-inflammatory response. J Huazhong Univ Sci Technol Med Sci 34:10–17. https://doi.org/10.1007/s11596-014-1224-1
Dáňová K, Grohová A, Strnadová P et al (2017) Tolerogenic dendritic cells from poorly compensated type 1 diabetes patients have decreased ability to induce stable antigen-specific T Cell hyporesponsiveness and generation of suppressive regulatory T cells. J Immunol 198:729–740. https://doi.org/10.4049/jimmunol.1600676
Mathieu C, Lahesmaa R, Bonifacio E et al (2018) Immunological biomarkers for the development and progression of type 1 diabetes. Diabetologia 61:2252–2258. https://doi.org/10.1007/s00125-018-4726-8
Erener S, Marwaha A, Tan R et al (2017) Profiling of circulating microRNAs in children with recent onset of type 1 diabetes. JCI Insight 2:1–13. https://doi.org/10.1172/jci.insight.89656
Olsen JA, Kenna LA, Spelios MG et al (2016) Circulating differentially methylated amylin DNA as a biomarker of β-cell loss in type 1 diabetes. PLoS ONE 11:1–15. https://doi.org/10.1371/journal.pone.0152662
Vecchio F, Lo Buono N, Stabilini A et al (2018) Abnormal neutrophil signature in the blood and pancreas of presymptomatic and symptomatic type 1 diabetes. JCI Insight 3:1–17. https://doi.org/10.1172/JCI.INSIGHT.122146
Newby BN, Brusko TM, Zou B et al (2017) Type 1 interferons potentiate human CD8+ T-cell cytotoxicity through a STAT4- and Granzyme B-dependent pathway. Diabetes 66:3061–3071. https://doi.org/10.2337/db17-0106
Coppieters KT, Dotta F, Amirian N et al (2012) Demonstration of islet-autoreactive CD8 T cells in insulitic lesions from recent onset and long-term type 1 diabetes patients. J Exp Med 209:51–60. https://doi.org/10.1084/jem.20111187
Katz JD, Benoist C, Mathis D (1995) T helper cell subsets in insulin-dependent diabetes. Science 80(268):1185–1188. https://doi.org/10.5194/acp-14-1587-2014
Knoop J, Gavrisan A, Kuehn D et al (2018) GM-CSF producing autoreactive CD4+ T cells in type 1 diabetes. Clin Immunol 188:23–30. https://doi.org/10.1016/j.clim.2017.12.002
Lippens C, Duraes FV, Dubrot J et al (2016) IDO-orchestrated crosstalk between pDCs and Tregs inhibits autoimmunity. J Autoimmun 75:39–49. https://doi.org/10.1016/j.jaut.2016.07.004
Gehrie E, van der Touw W, Bromberg JS, Ochando JC (2011) Plasmacytoid dendritic cells in tolerance. Methods Mol Biol 677:127–147. https://doi.org/10.1007/978-1-60761-869-0_9
Beaudoin L, Diana J, Ghazarian L et al (2014) Plasmacytoid dendritic cells license regulatory T cells, upon iNKT-cell stimulation, to prevent autoimmune diabetes. Eur J Immunol 44:1454–1466. https://doi.org/10.1002/eji.201343910
Rodriguez-Segade S, Camiña MF, Carnero A et al (1996) High serum IgA concentrations in patients with diabetes mellitus: agewise distribution and relation to chronic complications. Clin Chem 42:1064–1067
Smith WI, Rabin BS, Huellmantel A et al (1978) Immunopathology of juvenile-onset diabetes mellitus. I. IgA deficiency and juvenile diabetes Diabetes 27:1092–1097. https://doi.org/10.2337/diab.27.11.1092
De Goffau MC, Fuentes S, Van Den Bogert B et al (2014) Aberrant gut microbiota composition at the onset of type 1 diabetes in young children. Diabetologia 57:1569–1577. https://doi.org/10.1007/s00125-014-3274-0
Vatanen T, Franzosa EA, Schwager R et al (2018) The human gut microbiome in early-onset type 1 diabetes from the TEDDY study. Nature 562:589. https://doi.org/10.1038/s41586-018-0620-2
Leete P, Willcox A, Krogvold L et al (2016) Differential insulitic profiles determine the extent of β-cell destruction and the age at onset of type 1 diabetes. Diabetes 65:1362–1369. https://doi.org/10.2337/db15-1615
Barker A, Lauria A, Schloot N et al (2014) Age-dependent decline of β-cell function in type 1 diabetes after diagnosis: a multi-centre longitudinal study. Diabetes Obes Metab 16:262–267. https://doi.org/10.1111/dom.12216
Shields BM, McDonald TJ, Oram R et al (2018) C-peptide decline in type 1 diabetes has two phases: an initial exponential fall and a subsequent stable phase. Diabetes Care 41:1486–1492. https://doi.org/10.2337/dc18-0465
Hao W, Gitelman S, Di Meglio LA et al (2016) Fall in C-peptide during first 4 years from diagnosis of type 1 diabetes: variable relation to age, HbA1c, and insulin dose. Diabetes Care 39:1664–1670. https://doi.org/10.2337/dc16-0360
Steck AK, Johnson K, Barriga KJ et al (2011) Age of islet autoantibody appearance and mean levels of insulin, but not GAD or IA-2 autoantibodies, predict age of diagnosis of type 1 diabetes: Diabetes autoimmunity study in the young. Diabetes Care 34:1397–1399. https://doi.org/10.2337/dc10-2088
Jacobsen LM, Larsson HE, Tamura RN et al (2019) Predicting progression to type 1 diabetes from ages 3 to 6 in islet autoantibody positive TEDDY children. Pediatr Diabetes 20:263–270. https://doi.org/10.1111/pedi.12812
Dabelea D, D’Agostino RB, Mayer-Davis EJ et al (2006) Testing the accelerator hypothesis: body size, beta-cell function, and age at onset of type 1 (autoimmune) diabetes. Diabetes Care 29:290–294
Lorini R, Vanelli M (1996) Normal values of first-phase insulin response to intravenous glucose in healthy Italian children and adolescents. The Prediabetes Study Group of the Italian Society for Pediatric Endocrinology and Diabetology (SIEDP). J Pediatr Endocrinol Metab 9:163–167
Bacha F, Klinepeter Bartz S (2016) Insulin resistance, role of metformin and other non-insulin therapies in pediatric type 1 diabetes. Pediatr Diabetes 17:545–558. https://doi.org/10.1111/pedi.12337
Funding
This study was funded in part by a grant from the Czech Ministry of Health AZV 16-32838A and by the Institutional Support of Research Organization 00064203 (University Hospital Motol).
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AK and LP designed the study; produced, analysed and interpreted the data; and wrote the manuscript. MP performed the bioinformatical analysis. MR and JS performed the experiments and produced the data. JK designed the study. SP, SK and ZS provided patient material and co-wrote the manuscript. AS designed the study, interpreted the data and co-wrote the manuscript.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (Ethics Committees of the University Hospital Motol and 2nd Faculty of Medicine, Charles University in Prague, Czech Republic) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
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Klocperk, A., Petruzelkova, L., Pavlikova, M. et al. Changes in innate and adaptive immunity over the first year after the onset of type 1 diabetes. Acta Diabetol 57, 297–307 (2020). https://doi.org/10.1007/s00592-019-01427-1
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DOI: https://doi.org/10.1007/s00592-019-01427-1