Preproinsulin is a target T cell autoantigen in human Type 1 diabetes. This study analyses the phenotype and epitope recognition of preproinsulin reactive T cells in subjects with a high genetic risk of diabetes [HLA-DRB1*04, DQ8 with Ab+ (autoantibody-positive) or without islet autoantibodies (control subjects)], and in HLA-matched diabetic patients.
A preproinsulin peptide library approach was used to screen for cytokine profiles and epitope specificities in human peripheral blood lymphocytes, and CD4+CD45RA− and CD4+CD45RA+ T cell subfractions, representing memory and naive and recently primed T cells respectively.
In CD4+ T cell subsets we identified immunodominant epitopes and cytokine production patterns that differed profoundly between patients, Ab+ subjects and non-diabetic HLA-matched control subjects. In Ab+ subjects, a C-peptide epitope C13–29 and insulin B-chain epitope B11–27 were preferentially recognised, whereas insulin-treated Type 1 diabetic patients reacted to native insulin and B-chain epitope B1–16. In peripheral blood lymphocytes of Ab+ subjects, an increase in T helper (Th) 1 (IFNγ, IL-2) and Th2 (IL-4) cytokines was detectable, wheras in CD45RA+ and CD45RA− subsets, IL-4 and IL-10 phenotypes dominated, compatible with the contribution of non-CD4 cells to IFNγ content. In insulin-treated Type 1 diabetic patients, naive and recently primed CD4+ cells were characterised by increasd IFNγ, TNFα, and IL-5.
Our data show that T cell reactivity to preproinsulin in CD45RA subsets is Th2-dominant in Ab+ subjects, challenging the Th1 paradigm in Type 1 diabetes. Characteristic immunodominant epitopes and cytokine patterns distinguish diabetic patients and Ab+ subjects from HLA-matched healthy individuals. This could prove useful in monitoring of T-cell immunity in clinical diabetes intervention trials.
In Type 1 diabetes pancreatic beta cells expressing insulin and other autoantigens are targeted by T-cell-mediated autoimmune destruction. Autoantibodies to proinsulin and insulin precede clinical disease manifestation [1, 2]. Although T cells and T cell clones specific for insulin have been isolated from peripheral blood of patients with Type 1 diabetes and of healthy control subjects [3, 4, 5, 6, 7, 8, 9], the degree of proliferative responses has consistently been lower than that of other candidate autoantigens. The quality of cellular autoimmunity against preproinsulin (PPI) has never been studied.
The individual role of autoreactive T cells in the pathogenesis of Type 1 diabetes is unclear. Several subsets of T cells, in particular CD4+ T helper (Th) cells and recently activated cells, are increased in the peripheral blood of Type 1 diabetic patients [5, 10, 11, 12]. Yet the functional implications of these abnormalities are largely unidentified. One suggestion is that a particular subset of T cells could be responsible for the autoreactivity . However, the relevant study also provided evidence that distinct subsets of lymphocytes can down-regulate T-cell autoreactivity, which could explain the limited extent of T-cell proliferative response to insulin.
T cells can exert their regulatory functions via the release of anti-inflammatory cytokines and are classified according to their cell-surface markers and cytokine patterns. Memory cells respond efficiently to recall antigens, have less stringent requirements for activation, and are able to secrete a more extensive set of cytokines than naive cells . Expression of the RA isoform of CD45 (a phosphatase involved in cell signalling) and a chemokine receptor (CCR7) that controls homing to secondary lymphoid organs divides human Th cells into naive cells and two subsets of memory cells, central memory and effector memory. Naive T cells and central memory cells secrete IL-2 only, whereas effector memory cells secrete high levels of IFNγ, IL-4 and IL-5, and moderately reduced levels of IL-2. Moreover, Th cells belong to different cytokine effector classes . Th1 cells, which predominantly secrete IFNγ and TNFα and direct immune responses towards cell-mediated immunity, are thought to contribute to the pathogenesis of organ-specific autoimmune diseases. In contrast, Th2 cells, which preferentially produce IL-4, IL-5 and IL-10 and provide efficient help for B-cell activation and induction of humoral immune responses, are not considered to be pathogenic and could be associated with regulatory responses.
We have recently shown that a proliferative response of CD45RO+ memory Th cells to proinsulin in Type 1 diabetic patients’ offspring who are positive for HLA-DRB1*04 and DQB1*0302 (DRB1*04, DQ8) is directed primarily against the C-peptide epitope C18-A1 . On the epitope level, another study identified an insulin B-chain peptide (residues 9–23) as a disease-associated epitope of IFN-γ producing mononuclear leucocytes .
Our study focused on overlapping synthetic peptides of PPI, a candidate target autoantigen of T-cell-mediated autoimmunity in Type 1 diabetes. Our aim was to determine immunogenicity, as well as immunodominance at the peptide epitope level. Secondly, we tried to identify the nature of the cellular autoimmune response by measuring Th1 and Th2 cytokines in peripheral blood mononuclear cells (PBMC) and two distinct subsets of T cells separated on the basis of their surface expression of CD45 isotypes. Earlier findings have suggested that lymphocytes expressing CD45RA+ harbour regulatory activity . Thirdly, we tested homogeneous populations of unrelated individuals selected for high-risk disease-associated DRB1*04, DQ8 haplotype in (i) healthy subjects without family history of Type 1 diabetes, (ii) autoantibody-positive (Ab+) subjects, and (iii) subjects with recent onset of Type 1 diabetes.
In a cross-sectional approach we mapped the naturally occurring response of the CD45RA− memory and CD45RA+ naive and recently primed Th-cell subsets as defined by cytokines to a peptide array of PPI. We describe distinct proliferation and cytokine patterns of Th-cell subsets primed in vivo and associated with increased genetic risk alone (control subjects) or, in combination, with autoimmunity (Ab+ subjects) or overt Type 1 diabetes (patients).
Subjects and methods
A total of 35 subjects who were positive for HLA-DRB1*04, DQ8 were analysed (Table 1). The group consisted of: 11 healthy control subjects with no family history of Type 1 diabetes (median age 22 years, range 2–43 years); 12 Ab+ school children from the Karlsburg Type 1 diabetes risk study  and with no family history of Type 1 diabetes (median age 20 years, range 8–24 years); and 12 patients with Type 1 diabetes (median age 26 years, range 2–56 years; median duration of insulin treatment 6 months, range 1–12 months). Of the 12 Ab+ individuals, 9 were classified as ‘high risk’ subjects, as they were positive for more than one additional antibody specificity, i.e. insulin autoantibodies, antibodies against GAD or islet thyrosine phosphatase (IA-2A) and/or had a high titre of cytoplasmic islet cell antibodies (ICA, >20 JDF-U) [18, 19]. Informed consent was obtained from all individuals prior to analysis, and studies were carried out in accordance with the Declaration of Helsinki.
HLA typing of DRB1* and DQB1* alleles was done using a locus-specific PCR amplification procedure as described elsewhere .
The autoantibody assays have been described in detail [17, 21]. Briefly, GAD and IA-2A were measured by fluid-phase 125I-antigen binding assays using recombinant human GAD65 (Diamyd Diagnostics, Stockholm, Sweden) and recombinant human IA-2ic (BRAHMS Diagnostica, Berlin, Germany). Levels of GAD and IA-2A were expressed as arbitrary Karlsburg units (KU/l), derived from an in-house standard serum pool. The anti-GAD assay has a diagnostic sensitivity and specificity of 88% and 96% respectively. The anti-IA-2 assay achieved 58% diagnostic sensitivity and 100% specificity in the 1st Diabetes Antibody Standardization Program (DASP) proficiency evaluation 2001 of the Immunology of Diabetes Society (IDS) and the Centers for Disease Control and Prevention (CDC).
Insulin autoantibodies and insulin antibodies were measured by an established microassay  using protein A method. The 99th percentile as cut-off was calculated from 991 healthy schoolchildren. Serum concentration of GAD and IA-2A calculated via in-house standard serum is given as Karlsburg units per litre (KU/l) and insulin autoantibodies analysed by microassay  are given in µU/l.
Islet cell antibodies were measured by indirect immunofluorescence on cryosections of human pancreas after overnight incubation at 4°C. The detection limit was 5 JDF units. Levels of ICA at or above 20 JDF units were considered to be positive. The assay achieved an analytical sensitivity and specificity of 100% in the 13th ICA Workshop 1998.
Cell separation and enrichment of CD45RA− memory and CD45RA+ naive and recently primed Th cells
Peripheral blood mononuclear cells were isolated from heparinised blood by Ficoll-paque (Pharmacia, Freiburg, Germany) density centrifugation, aliquoted, and cryopreserved in liquid nitrogen until use. Enrichment of CD45RA− memory and CD45RA+ naive and recently primed Th cells from PBMC of all investigated persons was done in two steps using a CD4+ T-cell isolation kit (Miltenyi Biotec, Auburn, Calif., USA). First, CD4+ cells were enriched by depletion of all non-CD4 (CD8, CD11b, CD16, CD19, CD36 and CD56) cells. Then CD45RA− memory cells were enriched by depletion of CD45RA+ cells using CD45RA MicroBeads. Positively sorted CD45RA+ cells were released from the column, and CD45RA+ and CD45RA− cells were counted and adjusted to 4×105 cells per millilitre in IMDM Glutamax medium (GibcoBRL, Eggenstein, Germany). The mean purity of CD45RA+ and CD45RA− cells was 96.8% and 94.7% respectively, as defined by FACS analysis, and the viability of both cell subsets was 99%, as determined by tripan blue exclusion. As the CD45RA+ cell population was positively sorted, it also contained the recently activated CD45RA+/RO+ cell population [12, 13]. Of the total PBMC of investigated individuals an average of 12.06±6.7% were CD4+ cells, 69.67±16.9% were CD45RA− and 38.2±16.5 were CD45RA+ cells.
Autoantigens, peptides and control antigens
Human proinsulin (86 amino acids, aa; a kind gift of Eli Lilly, Indianapolis, Ind., USA) and insulin (51 aa; a kind gift of Aventis, Frankfurt, Germany) were tested simultaneously with 21 overlapping PPI peptides. Preproinsulin peptides were 16 to 17 amino acids long and overlapped by 12 amino acids. They were synthesised according to the primary PPI structure (GenBank accession number P01308). All antigens and peptides were highly purified and did not contain significant levels of endotoxin as determined by the Limulus lysate assay (<0.06 EU/ml at 10 µg peptide/ml). In each Th-cell assay, control peptide CASSSDRLGNQPQHF (T-cell antigen receptor peptide, see ), tetanus toxoid (Connaught Laboratories, Toronto, Ont, Canada) and phytohaemagglutinin M (Difco, Michigan, Ill., USA) were included.
The proliferation assay, which has been described , was modified for enriched Th-cell subpopulations and is currently being evaluated in our laboratory as part of the ongoing Second International Workshop for Standardization of T-cell assays . Briefly, microtitre plates were prepared as follows and stored at −80°C until use. Autoantigens, peptides or control antigens (50 µl per well) were plated in triplicate. Proinsulin and insulin were used at 10 µg/ml, PPI peptides at 5 µg/ml, tetanus toxoid at 1 µg/ml, control peptide at 5 µg/ml, and phytohaemagglutinin M at a concentration of 0.01%. On the day of the test, plates were thawed and 100 µl of autologous PBMC were plated per well as antigen-presenting cells (irradiated 40 Gy). Finally, 100 µl of CD45RA− memory cells or CD45RA+ naive and recently primed cells were added per well and incubated for 5 days at 37°C and 6% CO2. Then 3HTdR was added and after 16 h the cells were harvested. The results are expressed as stimulation index (SI), i.e. counts per min in the presence of antigen, divided by counts per min in the medium alone. The intra-assay coefficient variation of SIs on five replicate tests was 28%, and the inter-assay variation on two replicate tests was 18%.
To measure the level of TNFα, IFNγ, IL-2, IL-4, IL-5 and IL-10 secreted after stimulation with proinsulin, insulin and 21 overlapping PPI peptides, 175 µl of supernatant was taken from each well on day 5 of culture followed by addition of 3H-TdR. Supernatants of replicate cultures were pooled and stored at −20°C until assay. They were analysed according to the manufacturer’s instructions, using an antigen-capture ELISA from PharMingen (San Diego, Calif., USA). Detection limits for each cytokine were 19.5 pg/ml for TNFα, 34.2 pg/ml for IFNγ, 9.8 pg/ml for IL-2, 19.5 pg/ml for IL-4, 48.8 pg/ml for IL-5 and 4.9 pg/ml for IL-10. Heterophile antibodies (e.g. Ig cross-reactive substances) from human serum samples which have been reported to interfere with cytokine assays  were excluded in our cell culture medium (contains 7% human serum pool) by measuring anti-Fc receptor antibodies (below the cut-off of 0.7 U/ml) and by control cytokine measurements using the correct capture and detection reagent pairs (e.g. anti-IL-4 and anti-IL-4) in comparison to the signal detected with antibody mismatch pairs (e.g. anti-IL-4 and anti-TNFα, capture and detection respectively), which gave a signal below the detection limit of 19.5 pg/ml. Quantification of spontaneous cytokine release was done by incubating the cells of each individual under the same conditions as PPI peptides in the absence of antigen. Positive cytokine responses were defined as two adjacent peptide (antigen)-stimulated wells, which gave responses greater than the mean +2 SD of unstimulated wells. The amount of secreted cytokines was expressed in pg/ml.
Proliferation data were analysed using the SPSS software package (SPSS Software, Munich, Germany). The non-parametric Mann-Whitney U test for unpaired observations, with an appropriate adjustment to the significance level for multiple comparisons, was used. Cytokine data were analysed by general linear models, which allow for unbalanced and dependent data, using the statistical software SAS 8.2 (SAS, Heidelberg, Germany) (compound symmetry was assumed for the structure of the covariance matrix). The results section presents p values and differences of model-predicted means with 95% CIs. The CIs were adjusted for multiple comparisons (Tuker-Kramer adjustment). Differences in the prevalence of Th-cell proliferation and changes in cytokine levels between the groups were compared by Fisher’s exact test. Differences were considered to be significant at a p value of less than 0.05.
Proliferative responses in PBMC and Th-cell subsets
In unsorted PBMC proliferative responses to either proinsulin, insulin or PPI peptides were low and did not differ between the groups tested (Fig. 1). After sorting of PBMC into two Th-cell subsets, CD45RA+ naive and recently primed cells and CD45RA− memory cells, greater proliferation was observed, especially in subjects with islet autoimmunity (patients and Ab+ subjects).
In naive and recently primed cells Type 1 diabetic patients displayed a different reactivity pattern to that of non-diabetic Ab+ and control subjects. They reacted more strongly than both other groups to native insulin and proinsulin (9/24, 38% vs 1/24, 4% and 4/22, 18% respectively, p<0.008) and to PPI peptides (39/166, 23% vs 25/252, 10% and 19/197, 10% respectively, p<0.0003). Proliferative responses were distributed over the whole PPI molecule with high variability in individual subjects. Peptide B1–16 was most common. Frequency and magnitude of the response to this peptide was higher in patients than in Ab+ and control subjects (p<0.0002 and p<0.03 respectively). In Ab+ subjects the responses to C13–29 were more frequent in naive and recently primed cells than in the other two groups (5/12 vs 0/23 respectively, p<0.005).
Compared to control subjects, memory cell proliferative response of Ab+ subjects and Type 1 diabetic patients was more frequent to proinsulin and insulin (0/11 vs 12/24 respectively, p<0.003) and to PPI peptides (11/197 vs 81/418 respectively, p<0.000003). In Ab+ subjects and Type 1 diabetic patients the responses were randomly distributed over the whole PPI molecule. However, in Ab+ subjects two peptides displayed higher responses, B11–27 and C13–29. Frequency and magnitude of the response to peptides B11–27 and C13–29 were strongest in Ab+ subjects compared to both other groups (p<0.0003 and p<0.03, and p<0.007 and p<0.03 respectively). Peptide C13–29 overlaps peptide C18-A1, which was previously identified as a major epitope of DRB1*0401 transgenic mice and DRB1*0401 positive human subjects by 12 amino acids. Peptide B11–27 largely overlaps B9–23, which was previously identified as an immunodominant epitope in mice and humans.
Recognition of multiple peptides (>2) was more pronounced in memory cells of Ab+ subjects than in control subjects (p<0.006), whereas no difference between the three groups was found in naive and recently activated cells.
Cytokine responses in PBMC and Th-cell subsets
Cytokine analysis of PBMC and two Th-cell subsets showed that pro-inflammatory and anti-inflammatory cytokines (Th1/Th2) are produced in response to PPI peptides. However, differences in quality and quantity of the responses were observed in the three groups of subjects.
In Ab+ subjects the highest levels of cytokine responses, compared to the other two groups (Fig. 2), were present in PBMC after stimulation with PPI peptides characterised by an increase in production of IFNγ (p<0.0005), IL-2 (p<0.0005) and IL-4 (p<0.0005). The simultaneous increase in IFNγ and IL-4 in Ab+ subjects correlated strongly with the increased number of PPI peptides recognised per subject (r=0.8, p<0.003). As a result, Th0 phenotype of cytokine responses to PPI peptides was higher in Ab+ individuals than in patients (42/252, 17% vs 17/252, 7% respectively, p<0.005) and control subjects (17/231, 7%, p<0.005) (Fig. 3). Cytokine responses to native insulin were characterised by higher IFNγ levels than in control subjects (p<0.02).
After sorting of PBMC into naive and recently primed or memory Th-cell subsets, marked differences were observed in Ab+ subjects, compared to those of patients and control subjects (Fig. 2), with regard to Th1 type cytokines. IFNγ and TNFα were decreased in both cell subsets (p<0.0001) (Fig. 2). Hence, Th2 and T regulatory (Tr) phenotypes, characterised by IL-4 and IL-10, predominated in cell subsets of Ab+ subjects (Fig. 3). In memory cells of Ab+ subjects Th2/Tr responses to PPI peptides were greater than in patients and control subjects (p<0.0005 and p<0.005, Fig. 3).
In Ab+ subjects IL-5 concentrations were consistently lower in PBMC (p<0.0005) and in both Th-cell subsets (p<0.0001) than in the other two groups (Fig. 2).
In insulin-treated Type 1 diabetic patients naive and recently activated cells had increased production of IFNγ (p<0.0005), TNFα (p<0.0005), IL-5 (p<0.0005) and IL-10 (p<0.005) compared with control and Ab+ subjects (Fig. 2). Consequently, mainly Th0 cytokine response phenotype to PPI peptides evolved. This was more frequent in patients than in Ab+ and control subjects (p<0.0005) (Fig. 3). In memory cells of the patients Th2/Tr responses were more frequent than in control subjects (p<0.0005) and Th1 and Th0 responses were more frequent than in Ab+ subjects (p<0.005 and p<0.0005).
An increased response of IFNγ (p<0.005) accompanied by a similarly increased production of IL-10 (p<0.005) in memory Th cells in control subjects led to mainly Th0 cytokine response phenotype. In PBMC and naive and recently activated cells of the control subjects Th2/Tr responses predominated (Fig. 2, Fig. 3).
The three groups of subjects showed no difference in spontaneous cytokine release in PBMC or any of the cell subsets for any of the cytokines tested.
Quality of proliferative and cytokine responses to commonly recognised PPI epitopes
Although proliferative responses to PPI peptides were generally randomly distributed over the molecule in Th-cell subsets of Ab+ subjects, three peptides showed increased proliferation (Fig. 1): (i) peptide C13–29 in both cell subsets; (ii) peptide B11–27 in memory cells of Ab+ subjects; and (iii) peptide B1–16 in naive and recently primed cells of the patients.
No obvious association of specific cytokine patterns with increased proliferation was found (Fig. 4). However, increased proliferation in Ab+ subjects in response to peptide C13–29 was predominantly associated with Th2/Tr-type response and decreased levels of IFNγ (memory cells: p<0.006; naive and recently primed cells: p<0.02) and IL-5 (memory cells: p<0.02; naive and recently primed cells: p<0.002) in both Th-cell subsets (Fig. 4a, c). Increased proliferation in response to peptide B11–27 in memory cells of Ab+ subjects and to peptide B1–16 in naive and recently primed cells of the patients was associated with all three types of Th response. No difference in cytokine levels between the three groups of subjects was seen (Fig. 4b, d).
We tested the hypothesis that, due to in vivo priming during the spontaneous autoimmune response, differences in the quality and quantity of T-cell responses occur in Type 1 diabetic patients with islet-cell autoimmunity, when compared with healthy HLA-matched control subjects. If autoreactive PPI epitope-specific T cells are involved in the development of Type 1 diabetes, they should show increased proliferation and an activated peripheral memory cell differentiation state characterised by high IFNγ, IL-4 and IL-5 production . On the other hand, in control subjects, cells are expected to be predominantly of the immunoregulatory (Tr1) or suppressive phenotype, which proliferate poorly and secrete high levels of IL-10 and considerable levels of TGFβ and IL-5  or IL-4 and IL-10 .
In animal models of Type 1 diabetes it has been suggested that pro-inflammatory cytokine responses (IFNγ) drive disease progression and anti-inflammatory Th2 responses (IL-4, IL-10) drive disease protection [15, 28]. Yet, the multiple pro- and anti-inflammatory effects of most cytokines, depending on the target cell type (PBMC, i.e. pancreatic islets), disease, and many other factors, should be taken into consideration. To detect the entire in vivo primed PPI-specific repertoire we used overlapping PPI peptides (16 amino acids long) that can bind directly to major histocompatibility complex class II molecules, and hence favour the detection of CD4 cells. To be able to compare T-cell responses to the single peptide epitopes we strictly selected all three groups of subjects for the expression of the DRB1*04, DQ8 haplotype associated with high risk for Type 1 diabetes.
In previous studies using unsorted PBMC of randomly selected diabetic patients or individuals at risk and non-diabetic control subjects no differences were found in the extent of immunogenicity of proinsulin, insulin or overlapping peptides [4, 6, 29]. We, however, sorted PBMC, consisting of many different cell types, into two clearly defined Th-cell subsets, memory (CD45RA−) and naive and recently primed (CD45RA+) cells. This enabled us to detect responses which were previously undetectable due to the contribution of numerous cell types in the periphery. Our study showed increased proliferation and preferential recognition of three peptide epitopes in autoimmune subjects, while Ab+ subjects reacted to C13–29 (both cell subsets) and to B11–27 (memory cells), and patients reacted to B1–16 (naive and recently primed cells). Increased proliferation in response to peptide C13–29 was associated in Th-cell subsets of Ab+ subjects with decreased Th1 cytokine levels and predominantly Th2/Tr-type responses. Interestingly, peptide C13–29 overlaps C18-A1 by 12 amino acids, which was previously identified as immunodominant epitope in DRB1*04, DQB1*0302-positive subjects with and without autoimmunity  and in DRB1*0401 transgenic mice , and peptide B11–27 largely overlaps B9–23, which was previously identified as immunodominant epitope in mice  and man [9, 16]. Moreover, a T-cell clone specific for peptide B11–27 has been isolated from recent onset Type 1 diabetic patients using whole insulin as an antigenic stimulus . Proinsulin B-cell epitopes have also been located in C-peptide as well as in signal peptide regions, implying strong immunogenicity of these regions in individuals with a genetic background associated with Type 1 diabetes [32, 33]. Peptides C13–29 and B11–27 have high binding affinity to DRB1*0401 and DQ8 respectively [16, 34, 35].
Cytokine responses of Type 1 diabetic patients to peptide B1–16 were higher for IFNγ, IL-4 and IL-10 than in the other two groups. Interestingly, insulin B-cell epitope B1–3 is situated in the same overlapping region  and anti-insulin antibodies appear predominantly in DRB1*04-positive subjects [37, 38]. This implies a strong immunogenicity of this region in individuals with a disease-associated genetic background. As in our study healthy control subjects were completely matched for HLA-DRB1*04, DQ8 haplotype with Ab+ subjects and Type 1 diabetic patients, our results indicate that reactivity to these peptides is associated with islet autoimmunity rather than genetic predisposition to Type 1 diabetes. This is consistent with another study , which found the most pronounced immune reactivity to insulin in recently activated cells of Type 1 diabetic patients. Our study provides further evidence for the presence of PPI peptide-specific autoimmunity in lymphocyte subsets in humans.
The degree of determinant spreading, i.e. the number of peptides recognised per subject, also distinguished the groups. Response to multiple epitopes (>2) was more frequent in memory cells of the two groups of subjects with Type 1 diabetes autoimmunity than in the HLA-matched control subjects. It has been shown that inter-molecular epitope spreading of T-cell responses to various beta-cell antigens, as well as intra-molecular epitope spreading to different epitopes of the proinsulin molecule, is a common feature of disease progression in Type 1 diabetes [4, 9, 39]. Our results added to these findings by showing that cells responsible for intra-molecular PPI epitope spreading are found within the memory Th-cell subset. This indicates that the response was already primed in vivo in the course of Type 1 diabetes autoimmunity.
Our study showed that Th1 and Th2/Tr cytokines were produced in response to PPI. However, the quality and pattern of cytokine levels in PBMC and both Th-cell subsets differed considerably between subjects with islet autoimmunity and control subjects. The PBMC of Ab+ subjects had an increased overall cytokine level, which contributed to the dominance of the Th0 phenotype of the PPI peptide response. In sorted Th-cell subsets IL-4 and IL-10 responses predominated. This was caused by a selective decrease in IFNγ and TNFα, which was especially pronounced in memory cells. A decrease in the level of these cytokines after sorting into two Th-cell subsets provides additional evidence that other cell types, which are present in PBMC and have been depleted by cell sorting, are actively involved in the autoimmune responses to PPI in vivo. Indeed, in mice with spontaneous onset of autoimmune diabetes, CD8 T cells together with CD4 T cells are required for diabetes to occur , and both CD8 T-cell subsets, CD45RA+ (effector) and CD45RA− (memory), have been shown to secrete high amounts of IFNγ and TNFα .
In our study cytokine responses in Ab+ subjects had no IL-5 response at all in PBMC and both Th subsets. In contrast, in Type 1 diabetic patients treated with exogenous insulin for a median duration of 6 months naive and recently activated cells had a marked increase in IL-5, but memory cells did not. Interestingly, a recent study described new CD4+ regulatory T cells in NOD mice, which were generated by immunisation with pathogenic GAD65524–543 peptide producing high levels of IL-5 and IFNγ . Also IL-5 has been reported to be indicative of specific tolerance induction and immune deviation after nasal administration of GAD65 peptides in NOD mice .
Overall, our study shows that in subjects with an increased genetic risk of Type 1 diabetes immune responses to PPI peptides are vigorous. These are masked in unsorted PBMC largely due to the contribution of different cell types. In early stages of naturally occurring islet autoimmunity (Ab+ individuals) a massive increase in peripheral cytokine levels is present (except IL-5), which could not be detected in sorted Th-cell subsets. This indicates a contribution of cell types other than CD4+ cells. In Th-cell subsets of Ab+ subjects low cytokine levels of predominantly Th2/Tr phenotype and increased proliferation in response to C13–29 and B11–27 are present. After cessation of insulitis and exposure to exogenous insulin (Type 1 diabetic patients) an increase in IFNγ, TNFα, IL-5 and IL-10 levels and shift towards Th0 and Th2/Tr type of responses occur, accompanied by increased proliferation in response to B1–16. Although these specific differences could be due to the natural course of the disease, they could be the consequence of exogenous insulin treatment. It has been shown that insulin can modify T-cell autoimmunity in experimental models of Type 1 diabetes [44, 45] and in humans .
Together our results support the hypothesis that human Type 1 diabetes is not exclusively associated with Th1-mediated autoimmunity, and that Th1 and Th2 cells, as well as their respective mediators participate and cooperate in pancreatic islet beta-cell destruction (protection). This indicates that different cell subsets are activated in naturally occurring islet autoimmunity (Ab+ subjects) compared to insulin-treated Type 1 diabetic patients or disease-control subjects. Whether whole antigen or peptide epitope therapy before the onset of diabetes can induce non-destructive or protective T-cell subsets is not clear.
peripheral blood mononuclear cells
T helper cells
islet cell antibodies
islet thyrosine phosphatase
T regulatory cells
Bohmer K, Keilacker H, Kuglin B et al. (1991) Proinsulin autoantibodies are more closely associated with Type 1 (insulin-dependent) diabetes mellitus than insulin autoantibodies. Diabetologia 34:830–834
Yu L, Robles DT, Abiru N et al. (2000) Early expression of antiinsulin autoantibodies of humans and the NOD mouse: evidence for early determination of subsequent diabetes. Proc Natl Acad Sci USA 97:1701–1706
Keller RJ (1990) Cellular immunity to human insulin in individuals at high risk for the development of type I diabetes mellitus. J Autoimmun 3:321–327
Durinovic-Belló I, Hummel M, Ziegler AG (1996) Cellular immune response to diverse islet cell antigens in IDDM. Diabetes 45:795–800
Petersen LD, Duinkerken G, Bruining GJ, Lier RA van, Vries RR de, Roep BO (1996) Increased numbers of in vivo activated T cells in patients with recent onset insulin-dependent diabetes mellitus. J Autoimmun 9:731–737
Schloot NC, Roep BO, Wegmann D et al. (1997) Altered immune response to insulin in newly diagnosed compared to insulin-treated diabetic patients and healthy control subjects. Diabetologia 40:564–572
Schloot NC, Willemen S, Duinkerken G, Vries RR de, Roep BO (1998) Cloned T cells from a recent onset IDDM patient reactive with insulin B-chain. J Autoimmun 11:169–175
Naquet P, Ellis J, Tibensky D et al. (1988) T cell autoreactivity to insulin in diabetic and related non-diabetic individuals. J Immunol 140:2569–2578
Durinovic-Belló I, Boehm BO, Ziegler AG (2002) Predominantly recognized proinsulin T helper cell epitopes in individuals with and without islet cell autoimmunity. J Autoimmun 18:55–66
Ilonen J, Surcel HM, Kaar ML (1991) Abnormalities within CD4 and CD8 T lymphocytes subsets in Type 1 (insulin-dependent) diabetes. Clin Exp Immunol 85:278–281
Peakman M, Alviggi L, Hussain MJ et al. (1994) Increased expression of T-cell markers of immunological memory associated with protection from type I diabetes. A study of identical twins. Diabetes 43:712–717
Smerdon RA, Peakman M, Hussain MJ et al. (1993) Increase in simultaneous coexpression of naive and memory lymphocyte markers at diagnosis of IDDM. Diabetes 42:127–133
Peterson LD, Keur M van der, Vries RR de, Roep BO (1999) Autoreactive and immunoregulatory T-cell subsets in insulin-dependent diabetes mellitus. Diabetologia 42:443–449
Sallusto F, Lenig D, Forster R, Lipp M, Lanzavecchia A (1999) Two subsets of memory T lymphocytes with distinct homing potentials and effector functions. Nature 401:708–712
Liblau RS, Singer SM, McDevitt HO (1995) Th1 and Th2 CD4+ T cells in the pathogenesis of organ-specific autoimmune diseases. Immunol Today 16:34–38
Alleva DG, Crowe PD, Jin L et al. (2001) A disease-associated cellular immune response in Type 1 diabetics to an immunodominant epitope of insulin. J Clin Invest 107:173–180
Strebelow M, Schlosser M, Ziegler B, Rjasanowski I, Ziegler M (1999) Karlsburg Type I diabetes risk study of a general population: frequencies and interactions of the four major Type I diabetes-associated autoantibodies studied in 9419 schoolchildren. Diabetologia 42:661–670
Bingley PJ, Christie MR, Bonifacio E et al. (1994) Combined analysis of autoantibodies improves prediction of IDDM in islet cell antibody-positive relatives. Diabetes 43:1304–1310
Verge CF, Gianani R, Kawasaki E et al. (1996) Prediction of type I diabetes in first-degree relatives using a combination of insulin, GAD, and ICA512bdc/IA-2 autoantibodies. Diabetes 45:926–933
Erlich H, Bugawan T, Begovich AB et al. (1991) HLA-DR, DQ and DP typing using PCR amplification and immobilized probes. Eur J Immunogenet 18:33–55
Schlosser M, Strebelow M, Wassmuth R et al. (2002) The Karlsburg Type 1 diabetes risk study of a normal schoolchild population: association of beta-cell autoantibodies and human leukocyte antigen-DQB1 alleles in antibody-positive individuals. J Clin Endocrinol Metab 87:2254–2261
Williams AJ, Bingley PJ, Bonifacio E, Palmer JP, Gale EA (1997) A novel micro-assay for insulin autoantibodies. J Autoimmun 10:473–478
Durinovic-Belló I, Steinle A, Ziegler AG, Schendel DJ (1994) HLA-DQ-restricted, islet-specific T-cell clones of a type I diabetic patient. T-cell receptor sequence similarities to insulitis-inducing T-cells of nonobese diabetic mice. Diabetes 43:1318–1325
Peakman M, Tree TI, Endl J, Endert P van, Atkinson MA, Roep BO (2001) Characterization of preparations of GAD65, proinsulin, and the islet tyrosine phosphatase IA-2 for use in detection of autoreactive T-Cells in Type 1 diabetes: report of phase II of the Second International Immunology of Diabetes Society Workshop for Standardization of T-cell Assays in Type 1 diabetes. Diabetes 50:1749–1754
She JX, Ellis TM, Wilson SB et al. (1999) Heterophile antibodies segregate in families and are associated with protection from Type 1 diabetes. Proc Natl Acad Sci USA 96:8116–8119
Bacchetta R, Sartirana C, Levings MK, Bordignon C, Narula S, Roncarolo MG (2002) Growth and expansion of human T regulatory Type 1 cells are independent from TCR activation but require exogenous cytokines. Eur J Immunol 32:2237–2245
Maron R, Melican NS, Weiner HL (1999) Regulatory Th2-type T cell lines against insulin and GAD peptides derived from orally- and nasally-treated NOD mice suppress diabetes. J Autoimmun 12:251–258
Tian J, Lehmann PV, Kaufman DL (1997) Determinant spreading of T helper cell 2 (Th2) responses to pancreatic islet autoantigens. J Exp Med 186:2039–2043
Ellis T, Jodoin E, Ottendorfer E et al. (1999) Cellular immune responses against proinsulin: no evidence for enhanced reactivity in individuals with IDDM. Diabetes 48:299–303
Congia M, Patel S, Cope AP, De Virgiliis S, Sonderstrup G (1998) T cell epitopes of insulin defined in HLA-DR4 transgenic mice are derived from preproinsulin and proinsulin. Proc Natl Acad Sci USA 95:3833–3838
Daniel D, Gill RG, Schloot N, Wegmann D (1995) Epitope specificity, cytokine production profile and diabetogenic activity of insulin-specific T cell clones isolated from NOD mice. Eur J Immunol 25:1056–1062
Walter M, Berg H, Northemann W (1994) Mapping of antigenic epitopes within the recombinant human preproinsulin related to insulin-dependent diabetes mellitus. J Clin Lab Anal 8:163–166
Berg H, Walter M, Mauch L, Seissler J, Northemann W (1993) Recombinant human preproinsulin. Expression, purification and reaction with insulin autoantibodies in sera from patients with insulin-dependent diabetes mellitus. J Immunol Methods 164:221–231
Kwok WW, Nepom GT, Raymond FC (1995) HLA-DQ polymorphisms are highly selective for peptide binding interactions. J Immunol 155:2468–2476
Geluk A, Meijgaarden KE van, Schloot NC, Drijfhout JW, Ottenhoff TH, Roep BO (1998) HLA-DR binding analysis of peptides from islet antigens in IDDM. Diabetes 47:1594–1601
Castano L, Ziegler AG, Ziegler R, Shoelson S, Eisenbarth GS (1993) Characterization of insulin autoantibodies in relatives of patients with type I diabetes. Diabetes 42:1202–1209
Ziegler AG, Standl E, Albert E, Mehnert H (1991) HLA-associated insulin autoantibody formation in newly diagnosed type I diabetic patients. Diabetes 40:1146–1149
Ziegler R, Alper CA, Awdeh ZL et al. (1991) Specific association of HLA-DR4 with increased prevalence and level of insulin autoantibodies in first-degree relatives of patients with type I diabetes. Diabetes 40:709–714
Brooks-Worrell B, Gersuk VH, Greenbaum C, Palmer JP (2001) Intermolecular antigen spreading occurs during the preclinical period of human Type 1 diabetes. J Immunol 166:5265–5270
Miller BJ, Appel MC, O’Neil JJ, Wicker LS (1988) Both the Lyt-2+ and L3T4+ T cell subsets are required for the transfer of diabetes in nonobese diabetic mice. J Immunol 140:52–58
Hamann D, Baars PA, Rep MH et al. (1997) Phenotypic and functional separation of memory and effector human CD8+ T cells. J Exp Med 186:1407–1418
Quinn A, McInerney B, Reich EP, Kim O, Jensen KP, Sercarz EE (2001) Regulatory and effector CD4 T cells in nonobese diabetic mice recognize overlapping determinants on glutamic acid decarboxylase and use distinct V beta genes. J Immunol 166:2982–2991
Tian J, Atkinson MA, Clare-Salzler M et al. (1996) Nasal administration of glutamate decarboxylase (GAD65) peptides induces Th2 responses and prevents murine insulin-dependent diabetes. J Exp Med 183:1561–1567
Tian J, Chau C, Kaufman DL (1998) Insulin selectively primes Th2 responses and induces regulatory tolerance to insulin in pre-diabetic mice. Diabetologia 41:237–240
Karges W, Pechhold K, Al-Dahouk S et al. (2002) Induction of autoimmune diabetes through insulin (but not GAD65) DNA vaccination in nonobese diabetic and in RIP-B7.1 mice. Diabetes 51:3237–3244
This work was supported by grants from the German Research Foundation (SFB 518 to I. Durinovic-Belló, W. Karges and B.O. Boehm, and GRK460 studentship to S. Rosinger), the Eli Lilly Foundation International (to I. Durinovic-Belló), German Diabetes Foundation and Foundation The Diabetic Child (to I. Durinovic-Belló), and the German Diabetes Association (to I. Durinovic-Belló and S. Rosinger). We thank Dr. G. Seipke (Aventis, Frankfurt, Germany) and E. Lilly Company (Bad Homburg, Germany) for supplying us with insulin and proinsulin, C. Löliger (University Hospital Eppendorf, Hamburg, Germany) for HLA typing, and H.-J. Schreckling, B. Feldmann and M. Kuhn-Halder for clinical care of the patients.
W. Karges and B.O. Boehm contributed equally to this article
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Durinovic-Belló, I., Schlosser, M., Riedl, M. et al. Pro- and anti-inflammatory cytokine production by autoimmune T cells against preproinsulin in HLA-DRB1*04, DQ8 Type 1 diabetes. Diabetologia 47, 439–450 (2004). https://doi.org/10.1007/s00125-003-1315-1
- T cell subsets