T-Cell Responses to Islet Antigens Improves Detection of Autoimmune Diabetes and Identifies Patients With More Severe β-Cell Lesions in Phenotypic Type 2 Diabetes

RESEARCH DESIGN AND METHODS

Thirty-six phenotypic type 2 diabetic patients within 5 years of diagnosis were studied. The patients were obtained from a prospective study comparing the effect of rosiglitazone and glyburide on β-cell function. A type 2 diabetic phenotype required the onset of diabetes between ages 35 and 70 years, no history of ketonuria or ketoacidosis, and initially no requirement for insulin for glycemic control. Written informed consent was obtained from each patient before study enrollment. Blood was drawn from patients after a 2-week washout period from all medication. All patients were required to have A1C between 6 and 10% and fasting C-peptide ≥0.80 ng/ml. The cut point of 0.8 ng/ml was chosen because we wanted patients in the drug study who, at least in the beginning of the study, could be treated with oral agents and not require insulin therapy. Exclusion criteria included a history of chronic pancreatitis or other secondary cause of diabetes, treatment with systemic corticosteroids, concurrent severe systemic illness, renal insufficiency, or hepatic dysfunction. Diabetes-associated Abs and T-cell proliferative responses to islet antigens were assessed to classify the patients. The Abs measured were GAD Abs, Abs to the tyrosine phosphatase IA-2 (IA-2Abs), ICAs, and IAAs. T-cell responses were measured using cellular immunoblotting. The patients are enrolled in a drug study and are seen every 3 months with blood samples taken. The definition for positivity or negativity is “for two consecutive time points.” However, the C-peptide data presented in this article are from the baseline visit of the patients. At the baseline visit patients were taking no diabetes drugs (2-week washout period), and the C-peptide at this time point was used because the drugs to which the patients were randomly assigned could differentially affect their C-peptide results. The study is ongoing, and follow-up C-peptide data for these patients will be analyzed when the study is completed. β-Cell function was measured using fasting and glucagon-stimulated C-peptide. Demographic information such as age, weight, height, and duration of diabetes was also obtained.

RESULTS

Diabetes Abs.

Seventeen of the 36 patients were Ab⁺. Of these 17 patients, 9 (52.9%) were GAD Ab⁺, 8 (47.1%) were ICA⁺, 5 (29.4%) were IA-2Ab⁺, and 1 (5.9%) was IAA⁺ (Fig. 1). Five (29.4%) patients were GAD Ab⁺ only, 4 (23.5%) were ICA⁺ only, 3 (17.6%) were IA-2Ab⁺ only, and 1 (5.9%) was IAA⁺ only. Four patients (23.5%) were ICA⁺ and GAD Ab⁺, and 2 of these patients were also IA-2Ab⁺.

• Download figure
• Open in new tab
• Download powerpoint

FIG. 1.

Different autoantibodies in 17 Ab⁺ patients.

To summarize, 13 patients (76.4%) were positive for one Ab, 2 (11.7%) were positive for two Abs, and 2 (11.7%) were positive for three Abs. None of the patients were positive for all four Abs.

T-cell proliferative responses.

Of the 36 patients, 23 patients demonstrated positive PBMC responses to islet proteins (T-cell⁺) and 13 showed negative PBMC responses (T-cell⁻) (Fig. 2).

• Download figure
• Open in new tab
• Download powerpoint

FIG. 2.

Blot section positivity in 36 phenotypic type 2 diabetes patients using cellular immunoblotting.

β-Cell function.

Irrespective of T-cell proliferative responses, no statistical difference was observed in fasting and glucagon-stimulated C-peptide levels between the Ab⁻ and Ab⁺ groups (Fig. 3). Irrespective of autoantibody status, T-cell⁺ patients had significantly lower glucagon-stimulated C-peptide compared with T-cell⁻ patients, although no significant difference was observed in fasting C-peptide secretion between the two groups (Fig. 4). Data are summarized in Table 1.

• Download figure
• Open in new tab
• Download powerpoint

FIG. 3.

Fasting and glucagon-stimulated plasma C-peptide in Ab⁻ (n = 17) and Ab⁺ (n = 19) patients independent of T-cell reactivity. Vertical bars with dots represent mean ± SD.

• Download figure
• Open in new tab
• Download powerpoint

FIG. 4.

Fasting and glucagon-stimulated plasma C-peptide in T-cell⁻ (n = 13) and T-cell⁺ (n = 23) patients independent of autoantibody status. Vertical bars with dots represent mean ± SD.

View this table:

• View inline
• View popup

TABLE 1

β-Cell function in Ab⁺/Ab⁻ and T-cell⁺/T-cell⁻ groups

We further divided the T-cell⁺ patients into three categories (4–6 blots positive, 7–11 blots positive, and 14–18 blots positive); there were no significant differences in fasting or glucagon stimulated C-peptide levels in the patients within the three groups. If we divided the subjects into low (4–6 blots positive) or high (7–18 blots positive) categories, again there were no significant differences in the fasting or glucagon-stimulated C-peptide responses between the two groups.

DISCUSSION

Type 1.5 diabetes, like type 1 diabetes, is considered an autoimmune disease characterized by the presence of Abs and autoreactive T-cells to islet proteins. Previously, using cellular immunoblotting, we demonstrated that T-cells in type 1 diabetic patients are responsive to a wide spectrum of islet proteins. This particular T-cell assay was developed in our laboratory for type 1 diabetic patients and, as mentioned above, has been validated by the Immune Tolerance Network where it was able to distinguish type 1 diabetic from control subjects with a specificity of 83% and a sensitivity of 91% (33). Using the same assay, we demonstrated that type 1.5 diabetic patients also show T-cell reactivity to islet proteins (11). In the study reported here, we investigated how β-cell function in type 1.5 diabetes correlates with T-cell reactivity to islet proteins and Ab status.

In our study, T-cell reactivity and Abs were used to identify type 1.5 diabetic patients. First, we identified type 1.5 diabetes based on the presence of Abs. Of 36 phenotypic type 2 diabetic patients, 19 patients were negative and 17 were positive for Abs (ICAs, GAD Abs, IAAs, and IA-2Abs). No significant difference was observed in fasting and glucagon-stimulated C-peptide levels at baseline between the two groups. This is in agreement with some previous studies that also did not find a difference in C-peptide levels between type 1.5 and type 2 diabetes (20–24).

However, there are other studies that have reported differences in fasting C-peptide levels between type 1.5 and type 2 diabetes. These studies differ greatly from one another and from our study. Minimum age criteria for patients in the studies vary. For example, the studies by Gottsater et al. (12) and Torn et al. (13) included patients aged ≥15 years of age. The study by Borg et al. (14) had patients aged >20 years old, whereas Turner et al. (15) and Hosszufalusi et al. (16) included patients aged >25 years old. The study by Monge et al. (17) included patients aged >50 years. Because of the young age of the patients in some of the studies, it is possible that type 1 diabetic patients who are usually Ab⁺ with lower β-cell function were included. In contrast, in our study, we included only phenotypic type 2 diabetic patients who were aged between 35 and 70 years to assess β-cell function in relation to Ab and T-cell reactivity status.

In our study we also included four autoantibodies to determine whether patients were Ab⁺ or Ab⁻. However, the Abs (ICAs, GAD Abs, IA-2Abs, and IAAs) were originally discovered in type 1 diabetic patients. We have reported differences in both Ab and T-cell reactivity to islet proteins between type 1 and type 1.5 diabetic patients (10). Therefore, there is still a possibility in our current study that patients identified as Ab⁻ may indeed demonstrate Abs to unknown islet antigens. Although Ab reactivity to unidentified islet proteins is a definite possibility, the inclusion of ICAs helps address this issue. Sera positive for ICAs are recognized to frequently contain Abs to antigens other than GAD, IA-2, and insulin. Therefore, we believe that assaying patients for all four autoantibodies is the best attempt available at this time for identifying a patient's Ab status.

Furthermore, many of the patients in other studies (12,14,16,18,19) were taking insulin at the time of diagnosis or required insulin within a few years of diagnosis. Again, this could lead to skewing of results because the majority of insulin-treated subjects were in the Ab⁺ group and probably had lower β-cell function that required treatment with insulin. In contrast, we excluded any patient who required insulin for glycemic control and patients with a history of ketoacidosis or ketonuria to avoid including any adult type 1 diabetic subjects.

Abs measured for classification of type 1.5 diabetes in previous studies were also not the same. Most studies measured GAD Abs and sometimes ICAs or IA-2Abs. The studies by Arikan et al. (19), Yang et al. (24), and Birkeland et al. (21) measured only GAD Abs. The U.K. Prospective Diabetes Study (UKPDS) (15) and the studies by Gottsater et al. (12) and Monge et al. (17) measured GAD Abs and ICAs. The studies by Borg et al. (14), Hosszufalusi et al. (16), and Tuomi et al. (18) measured three autoantibodies: GAD Abs, ICAs, and IA-2Abs. None of the studies measured all four autoantibodies. In all of the other studies, classification of type 1.5 diabetes was based on measurement of autoantibodies at only one point. In contrast, in our study, we checked patients for all four autoantibodies (GAD Abs, IA-2Abs, ICAs, and IAAs) to decrease misclassification of patients as having type 1.5 diabetes versus type 2 diabetes. We considered a patient Ab⁺ if he or she had positive titers for the same antibody for two consecutive time points. We believe this to be a better way to ensure consistent Ab positivity in patients because we have seen that antibody titers can fluctuate, especially if they are borderline. We also restricted the duration of diabetes to 5 years in an attempt to maximize the sensitivity of antibody screening as a marker of type 1.5 diabetes. Restricting the analysis to patients with more recently diagnosed diabetes lessens the possibility of a misclassification of type 1.5 diabetes as type 2 diabetes because of reversion to an Ab⁻ status with increasing duration of diabetes. Such a reversion has been observed in type 1.5 diabetes over time (14).

Another confounding factor is the time from diagnosis of hyperglycemia. β-Cell function decreases with time and may decline relatively faster in Ab⁺ patients compared with Ab⁻ patients. One large population-based study involving 1,122 type 2 diabetic patients performed by Tuomi et al. (18) showed that GAD Ab⁺ patients had significantly lower fasting C-peptide levels than GAD Ab⁻ type 2 diabetic patients. The duration of diabetes was 81.6 and 68.4 months, respectively (18). This difference in duration of diabetes may account for at least some of the lower C-peptide levels in the GAD Ab⁺ patients. In our study, all patients were required to have A1C between 6 and 10% and fasting C-peptide ≥0.80 ng/ml. The cut point of 0.8 ng/ml was chosen because we wanted patients in the drug study who, at least in the beginning of the study, could be treated with oral agents and not require insulin therapy. Moreover, the mean duration of diabetes was 30.0 and 30.2 months, respectively, in our patients. Therefore, the patients in this study are hypothesized to be earlier in the course of their disease progression based on higher A1C and C-peptide inclusion criteria. If this is the case, then our results would demonstrate that the T-cell responses can identify patients with a more severe β-cell lesion before detection by Abs. Because type 1.5 diabetes, like type 1 diabetes, is believed to be cell mediated, the fact that T-cells can identify patients with a more severe β-cell lesion earlier would be reasonable. Whether the C-peptide differences are detected by T-cells earlier than they are detected by Abs or irrespective of Abs remains to be decided. Future studies should help answer this question. However, the results in this study demonstrate that T-cells are able to identify patients with a more severe β-cell lesion irrespective of Abs.

In our study, we focused on the presence or absence of T-cell and Ab reactivity (positive for at least two consecutive time points) and the relationship to fasting and stimulated C-peptide. We found significantly lower (P < 0.0035) stimulated C-peptide responses correlated with T-cell positivity to islet proteins and not Ab positivity alone. We further investigated the relationship between the magnitude of T-cell and C-peptide responses by separating the patients with T-cell⁺ responses into those with either low, medium, or high numbers of blot sections positive. We observed that neither fasting or glucagon-stimulated C-peptide correlated with the magnitude of T-cell responses but rather with the presence or absence of T-cell reactivity. Moreover, we further separated the patients into four groups on the basis of both their autoantibody status and T-cell status (Ab⁻T-cell⁻, Ab⁺T-cell⁻, Ab⁻T-cell⁺, and Ab⁺T-cell⁺): 8 patients were Ab⁻T-cell⁻, 5 patients were Ab⁺T-cell⁻, 11 patients were Ab⁻T-cell⁺, and 12 patients were Ab⁺T-cell⁺. The stimulated C-peptide responses demonstrated significant differences between the Ab⁺T-cell⁺ (mean 5.1 ng/ml) and Ab⁺T-cell⁻ (mean 8.2 ng/ml) patients with P < 0.01 and between Ab⁺T-cell⁺ (mean 5.1 ng/ml) and Ab⁻T-cell⁻ (mean 7.3 ng/ml) patients with P < 0.03. Stimulated C-peptide in Ab⁺T-cell⁻ and Ab⁻T-cell⁻ patients was not significantly different (P = 0.47). Thus, just the presence of autoimmunity as observed by Ab positivity alone did not identify the patients with more severe β-cell lesions.

We also questioned whether differences in insulin resistance (using homeostasis model assessment) might also contribute to our results. However, there was no significant difference between T-cell⁺ or T-cell⁻ subjects in their insulin sensitivity. Thus, a more severe β-cell lesion appears to correlate with the presence or absence of T-cell reactivity and cannot be explained in this study by differences in insulin sensitivity or magnitude of the T-cell response. We believe we have demonstrated that glucagon-stimulated C-peptide secretion is different in patients with and without autoimmunity as determined using T-cell assays, whereas this difference is not seen using only autoantibody assays. Therefore, we believe that cellular immunoblotting can identify patients with a more severe β-cell lesion irrespective of whether the patient is positive or negative for Abs to islet proteins. Consequently, we conclude that T-cell reactivity may be a better marker than Abs in detecting β-cell dysfunction in type 1.5 diabetes.