Literature DB >> 21610124

Long-term outcome of individuals treated with oral insulin: diabetes prevention trial-type 1 (DPT-1) oral insulin trial.

Kendra Vehik1, David Cuthbertson, Holly Ruhlig, Desmond A Schatz, Mark Peakman, Jeffrey P Krischer.   

Abstract

OBJECTIVE: To evaluate the long-term intervention effects of oral insulin on the development of type 1 diabetes and to assess the rate of progression to type 1 diabetes before and after oral insulin treatment was stopped in the Diabetes Prevention Trial-Type 1 (DPT-1). RESEARCH DESIGN AND METHODS: The follow-up included subjects who participated in the early intervention of oral insulin (1994-2003) to prevent or delay type 1 diabetes. A telephone survey was conducted in 2009 to determine whether diabetes had been diagnosed and, if not, an oral glucose tolerance test (OGTT), hemoglobin A1c (HbA1c), and autoantibody levels were obtained on all subjects who agreed to participate.
RESULTS: Of 372 subjects randomized, 97 developed type 1 diabetes before follow-up; 75% of the remaining 275 subjects were contacted. In the interim, 77 subjects had been diagnosed with type 1 diabetes and 54 of the remainder have had an OGTT; 10 of these were diagnosed with type 1 diabetes, subsequently. Among individuals meeting the original criteria for insulin autoantibodies (IAAs) (≥80 nU/mL), the overall benefit of oral insulin remained significant (P=0.05). However, the hazard rate in this group increased (from 6.4% [95% CI 4.5-9.1] to 10.0% [7.1-14.1]) after cessation of therapy, which approximated the rate of individuals treated with placebo (10.2% [7.1-14.6]).
CONCLUSIONS: Overall, the oral insulin treatment effect in individuals with confirmed IAA≥80 nU/mL appeared to be maintained with additional follow-up; however, once therapy stopped, the rate of developing diabetes in the oral insulin group increased to a rate similar to that in the placebo group.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21610124      PMCID: PMC3120180          DOI: 10.2337/dc11-0523

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


In the Diabetes Prevention Trial–Type 1 (DPT-1), conducted from 1994 to 2003, oral insulin or placebo was administered to nonaffected relatives of type 1 probands ascertained to have a 26–50% risk of developing diabetes over a 5-year period (1,2). In this trial, 103,391 relatives of type 1 diabetic patients were screened and 97,273 samples for antibodies (Abs) were analyzed. There were 372 subjects enrolled and randomized. After approximately one-third of the subjects were recruited, the insulin autoantibody (IAA) entry criteria were lowered from 80 to 39 nU/mL. At study end, there was no beneficial effect observed overall (1). However, it was noted that oral insulin resulted in a significant delay in type 1 diabetes (P = 0.04) in individuals recruited before the change in eligibility criteria (i.e., having an IAA level ≥80 nU/mL) and all those accrued who met the original eligibility criteria (IAA level ≥80 nU/mL) (P = 0.015); the annualized type 1 diabetes rate was 6.2% during oral insulin treatment and 10.4% with placebo, with a delay in diabetes progression by 4.5 years (1). In this follow-up study, we evaluated the long-term effects of oral insulin on the development of type 1 diabetes and assessed the rate of progression to type 1 diabetes before and after oral insulin treatment was stopped.

RESEARCH DESIGN AND METHODS

Screening, staging, and randomization of DPT-1 subjects and other study methods have been described (1). The original double-masked oral insulin trial enrolled 372 subjects with a projected 5-year risk of diabetes of 26–50% (60% male, 88% Caucasian, median age 10.3 years) between 1994 and 2002 (median follow-up of 4.3 years). Participants were randomly assigned to 7.5 mg oral insulin or placebo intervention once a day.

Follow-up study

In 2009, the Type 1 Diabetes TrialNet Network funded a follow-up study of the DPT-1 oral insulin trial subjects to determine whether the beneficial effect was prolonged. Each of the eight DPT-1 centers contacted those subjects eligible for recontact on the basis of the following criteria: 1) they were diabetes-free at time of last contact and 2) they agreed to future contact on the DPT-1 consent form. The study was completed in two phases. Phase 1 consisted of a questionnaire follow-up by phone to eligible subjects to determine current diabetes status, date of diagnosis, diabetes treatment, symptoms at time of diagnosis, most recent diabetes-associated laboratory work before diagnosis, and willingness to return for a clinical visit if diabetes-free. Subjects who were diabetes-free were eligible for phase 2, which consisted of an in-person clinic visit for a one-time oral glucose tolerance test (OGTT) to assess glycemic status, hemoglobin A1c (HbA1c), C-peptide, and Ab testing. The protocol was approved by the institutional review boards at participating locations, and all participants provided written informed consent.

Laboratory measures

All test procedures and assays performed have been described (3). The TrialNet biochemical antibody laboratory had sensitivities and specificities of 76/99% for GAD, 64/100% for islet cell antibody (ICA)512, and 58/99% for micro-IAA (mIAA) on the basis of the 2005 Diabetes Antibody Standardization Program (4). The OGTT includes samples for glucose and C-peptide levels at 0, 30, 60, 90, and 120 min. HbA1c was measured in a single reference laboratory.

Statistical analysis

Data were analyzed using the Statistical Analysis System Software (version 9.2; SAS Institute, Cary, NC). All variables not normally distributed were log-transformed for analysis. The area under the curve (AUC) C-peptide was calculated using the trapezoid rule. The intention-to-treat principle was used for this analysis. Kaplan-Meier life tables were used to determine the time to type 1 diabetes onset by treatment group and were compared using the log-rank χ2 statistic. Categorical variables were analyzed using Pearson χ2 tests or Fisher exact test. Mean differences were tested using ANOVA. Data were summarized using mean (SD) or median (interquartile range). All tests for significance were two-tailed. Cox proportional hazards models were used to estimate the risk for type 1 diabetes by treatment adjusted for time on study and time since treatment ended.

RESULTS

Of the 372 subjects who participated in the original DPT-1 study, 275 were eligible for the follow-up study; 97 developed type 1 diabetes at the end of the study in 2003 (0.02 [Q1–Q3: 0–0.5] median years after treatment to type 1 diabetes diagnosis) (Fig. 1). Through the 2009 follow-up study, 206 (75%) of the eligible subjects were contacted with the median follow-up time of 9.1 years (107 were on oral insulin and 99 were on placebo). A total of 37% (n = 77) had developed type 1 diabetes (median 3.7 [2.0–5.3] years after treatment to type 1 diabetes diagnosis); 71% (n = 92, 49 were on oral insulin and 44 on placebo during trial) of the 129 subjects diabetes-free on contact agreed to a clinic visit to complete an OGTT, HbA1c, and Ab testing and 59% (n = 54) completed a follow-up clinic visit. Of these (28 were on oral insulin and 26 on placebo during the trial), OGTT testing identified 26% (n = 14) with impaired glucose tolerance, 11% (n = 6) with asymptomatic type 1 diabetes, and 7% (n = 4) with symptomatic type 1 diabetes. There were no significant changes between baseline and follow-up measures of HbA1c (P = 0.99), GAD65 positivity (P = 0.11), mIAA positivity (P = 0.99), or ICA512 positivity (P = 0.43) in subjects who completed a follow-up visit. Significant changes were noted for mean C-peptide AUC during OGTT (baseline AUC: 491 [SD 185]; follow-up AUC: 647 [SD 233], P < 0.0001) and ICA positivity (P < 0.0001), where all 54 subjects were ICA positive at baseline and 19 (35%) reverted to being ICA negative at the follow-up visit.
Figure 1

Flow diagram of all subjects recruited into the original DPT-1 study and results of the follow-up study. IVGTT, intravenous glucose tolerance test; T1D, type 1 diabetes.

Flow diagram of all subjects recruited into the original DPT-1 study and results of the follow-up study. IVGTT, intravenous glucose tolerance test; T1D, type 1 diabetes. Over the entire study and follow-up, individuals who did not develop type 1 diabetes (n = 198) had a significantly lower median ICA titer (80 vs. 160 Juvenile Diabetes Foundation Units, P < 0.0001), lower mean IAA titer (309.3 vs. 426.5 nU/mL, P = 0.02), lower proportion with ICA512 (45 vs. 60%, P = 0.004), higher mean first-phase insulin response (173.1 vs. 145.6 µU/mL, P = 0.002), higher mean C-peptide peak (5.7 vs. 5.1 ng/mL, P = 0.003), higher mean C-peptide AUC (530.1 vs. 470.7, P = 0.005) measured by OGTT, were more likely to be black or Hispanic (10.5 vs. 4.5%, P = 0.03), and were older at time of randomization in study (median age 11 vs. 9 years, P < 0.0001) compared with individuals who developed type 1 diabetes (n = 174). Table 1 provides the baseline characteristics at the time of randomization into the DPT-1 study of the subjects eligible for the follow-up study by whether or not contact was achieved. Individuals contacted were more likely to be white (P < 0.0001) compared with those unable to be contacted.
Table 1

Baseline characteristics (at time of randomization) of subjects eligible for follow-up study

Subjects contacted in DPT-1 follow-upSubjects unable to contact in DPT-1 follow-upP
n20669
Median age‡10 (7–14)11 (8–16)0.0962
Average first-phase insulin response (μU/mL)*158.7 (93.6)182.4 (75.2)0.0574
Race†<0.0001
 White193 (93.6)52 (75.3)
 African American1 (0.4)4 (5.8)
 Hispanic5 (2.4)12 (17.3)
 Other7 (3.2)1 (1.4)
Sex†0.9082
 Male127 (61.6)42 (60.8)
 Female79 (38.3)27 (39.1)
Relationship to index patient with diabetes†0.1139
 Sibling108 (52.4)47 (68.1)
 Offspring63 (30.5)13 (18.8)
 Parent13 (6.3)2 (2.9)
 Second-degree relative22 (10.6)7 (10.1)
Antibody levels
 Median ICA (Juvenile Diabetes Foundation Units)‡80 (40–160)40 (20–160)0.1175
 Mean IAA (nU/mL)*329.59 (411.6)349.48 (671.0)0.7703
GAD antibodies†0.8384
 Positive146 (74.9)51 (76.1)
 Negative49 (25.1)16 (23.9)
ICA512 antibodies†0.5207
 Positive93 (47.7)35 (52.2)
 Negative102 (52.3)32 (47.8)
mIAA antibodies†0.7028
 Positive13 (20.3)6 (24.0)
 Negative51 (79.7)19 (76.0)
HbA1c (%)*5.31 (0.38)5.36 (0.36)0.3095
C-peptide AUC (during OGTT)*505.77 (208.0)532.75 (190.4)0.3447

Data are *mean (SD), †n (%), or ‡median (interquartile range).

Baseline characteristics (at time of randomization) of subjects eligible for follow-up study Data are *mean (SD), †n (%), or ‡median (interquartile range). Figure 2 shows the Kaplan-Meier curve from the start of the DPT-1 to the end of the follow-up for both the entire oral insulin population (Fig. 2, n = 372) and subjects with a baseline confirmed IAA ≥80 nU/mL (Fig. 2, n = 263). The overall median follow-up was 9.1 (Q1–Q3: 8.7–10.1) years. The annualized rate of type 1 diabetes development for the entire population was 7.4% per year in the oral insulin group and 8.2% in the placebo group (hazard ratio [HR] 1.125, 95% CI 0.837–1.511; P = 0.436). In subjects with a baseline confirmed IAA level ≥80 nU/mL, the annualized rate of type 1 diabetes development was 7.7% per year in the oral insulin group and 10.1% in the placebo group (HR 1.384, 95% CI 0.995–1.925; P = 0.052). Even after discontinuing oral insulin treatment, individuals with a confirmed IAA level ≥80 nU/mL who received oral insulin appeared to benefit overall by significantly delaying type 1 diabetes onset by 2.2 years.
Figure 2

A: Time to type 1 diabetes for the entire DPT-1 population from 1994 to 2009. B: Time to type 1 diabetes for subjects with a baseline IAA level confirmed ≥80 nU/mL from 1994 to 2009. (A high-quality color representation of this figure is available in the online issue.)

A: Time to type 1 diabetes for the entire DPT-1 population from 1994 to 2009. B: Time to type 1 diabetes for subjects with a baseline IAA level confirmed ≥80 nU/mL from 1994 to 2009. (A high-quality color representation of this figure is available in the online issue.) Figure 3 breaks down the patient subgroups with confirmed IAAs ≥80 nU/mL into the following: time on (all subjects treated with oral insulin) and off (only subjects contacted through the follow-up) treatment for the oral insulin group (Fig. 3) and time on (monitored on study receiving placebo) and off (only subjects contacted through follow-up and no longer monitored on study) treatment for the placebo group (Fig. 3). There were 130 subjects who received oral insulin during the study, and 97 (75%) of those subjects were contacted in the follow-up; 133 subjects received placebo and 85 (64%) were contacted in the follow-up. The annualized rate of diabetes while on oral insulin was 6.2%; after treatment ended, the rate increased to 9.5%, a rate similar to the placebo group (HR 1.492, 95% CI 0.911–2.444; P = 0.110). Figure 3 clearly shows that the reduced rate of diabetes development depicted in Fig. 2 is only apparent during the time the subjects received oral insulin. During the time on oral insulin compared with after oral insulin treatment, type 1 diabetes onset was delayed by 3.9 years. After oral insulin ended, the median estimated survival for subjects treated was similar to placebo during the original trial (6.32 years for placebo vs. 6.94 years for oral insulin after oral insulin treatment ended). Figure 3 shows the proportion of the placebo group without diabetes while on study and off study. The annual type 1 diabetes rate on study was 10.4% and off study was 9.7% (HR 0.826, 95% CI 0.513–1.330; P = 0.431). The hazard rate remained relatively constant for subjects in the placebo group over the study and follow-up periods.
Figure 3

Proportion of subjects with IAA levels confirmed ≥80 nU/mL who are diabetes-free by time of study and after study. A: Oral insulin treatment group (where “on treatment [Trt]” is defined as time receiving oral insulin). B: Placebo group (where “monitored” is defined as time receiving placebo and “not monitored” is defined as time no longer receiving placebo and monitored by study). (A high-quality color representation of this figure is available in the online issue.)

Proportion of subjects with IAA levels confirmed ≥80 nU/mL who are diabetes-free by time of study and after study. A: Oral insulin treatment group (where “on treatment [Trt]” is defined as time receiving oral insulin). B: Placebo group (where “monitored” is defined as time receiving placebo and “not monitored” is defined as time no longer receiving placebo and monitored by study). (A high-quality color representation of this figure is available in the online issue.) Figure 4 shows the proportion of subjects diabetes-free in the subgroup who did not have confirmed IAA ≥80 nU/mL for those who received oral insulin (Fig. 4) or placebo (Fig. 4). In Fig. 4, the annualized type 1 diabetes rate for the time on oral insulin was 6.9 and 4.5% during the follow-up time after therapy was withdrawn (HR 0.817, 95% CI 0.330–2.022; P = 0.661). Figure 4 describes the proportion of subjects in the placebo group diabetes-free both during study and after study. The annualized rate was 2.7% during the study and 4.2% after study (HR 1.379, 95% CI 0.444–4.286; P = 0.577).
Figure 4

Proportion of subjects with IAA levels not confirmed ≥80 nU/mL who are diabetes-free by time of study and after study. A: Oral insulin treatment group (where “on treatment [Trt]” is defined as time receiving oral insulin). B: Placebo group (where “monitored” is defined as time receiving placebo and “not monitored” is defined as time no longer receiving placebo and monitored by study). (A high-quality color representation of this figure is available in the online issue.)

Proportion of subjects with IAA levels not confirmed ≥80 nU/mL who are diabetes-free by time of study and after study. A: Oral insulin treatment group (where “on treatment [Trt]” is defined as time receiving oral insulin). B: Placebo group (where “monitored” is defined as time receiving placebo and “not monitored” is defined as time no longer receiving placebo and monitored by study). (A high-quality color representation of this figure is available in the online issue.)

CONCLUSIONS

The follow-up of the DPT-1 study showed that level of IAA titer is associated with responsiveness to oral insulin. The overall oral insulin effect in individuals with confirmed IAA levels ≥80 nU/mL was maintained with additional follow-up; however, once oral insulin was stopped, the rate of developing diabetes in the oral insulin group became similar to the rate in the placebo group. This regression provides evidence that subjects with IAA levels ≥80 nU/mL who received oral insulin before type 1 diabetes onset have delayed progression while on oral insulin, but once treatment ended, the risk of type 1 diabetes increased to the level observed in the placebo group. Because the loss of benefit coincided with the discontinued oral insulin, it is hypothesized that the immunological effect is tied temporally to the insulin intervention. In contrast, individuals with IAA levels <80 nU/mL displayed the opposite effect with a nonstatistically significant increasing risk of type 1 diabetes with oral insulin, while similarly the effect is attenuated, once therapy stopped. The mechanism through which oral insulin mediates the apparent treatment response is unclear, but tolerance induction through this route may operate via effects on the adaptive immune system (5). Several nonclinical studies of the response to oral antigen have identified the induction of T cells that are associated with, and can adoptively transfer, protection from autoimmune disease (6). These cells are typically antigen specific, are CD4+, secrete the immune suppressive cytokines interleukin (IL)-10 and transforming growth factor (TGF)-β (7,8), and have been termed TH3 cells or regulatory T cells (Tregs) (9). In other settings in which antigen-induced tolerance was achieved via a mucosal route (intranasal), there is evidence of activation-induced cell death of responder T cells (10), a possibility that should be explored in future studies of oral antigen administration. Preliminary evidence has recently shown that these processes could be counterproductive, at least theoretically, if Tregs are also deleted or sequestered (M. von Herrath, personal communication) and that the balance of induction/deletion is strongly influenced by the dose (frequency), with more frequent dosing being more harmful (11–13). A further intriguing, and hitherto unexplained, finding of the oral insulin study has been the reliance of the therapeutic effect on the presence of high levels of IAAs. It is possible that the mechanistic pathway requires the induction of adaptive Tregs from cohorts of preexisting insulin-specific T cells, or perhaps that antigen presentation by insulin-specific B cells is important (14). In summary, the T-cell field has matured sufficiently to allow rational hypotheses as to the mechanistic effects of oral insulin to be proposed and examined experimentally. In previous mouse model studies, such as those that influenced the initiation of the DPT-1 study (15–17), oral insulin therapy was successful in preventing type 1 diabetes onset; however, therapy was dose dependent, with a reduction in insulitis seen at lower doses (1 mg), disappearing at higher doses (5 mg) (18). Although the majority of human studies reported no beneficial effect (1,19,20), one study (21) that focused on evaluating time of intervention, antigen dosing, and administration interval reported that oral insulin given in low doses (1 mg) delays β-cell failure in new-onset patients >20 years of age. This double-blind placebo-controlled study randomized 191 subjects who were 5–60 years of age to receive 1 mg insulin dose, 10 mg insulin dose, or placebo. Ergun-Longmire et al. (21) demonstrated that age and duration of diabetes in combination with different immunological and metabolic markers have varying responsiveness to varying doses of oral insulin. The addition of the DPT-1 follow-up study finding that IAA titer is associated with drug therapy responsiveness will have a considerable impact on future human studies, such as those with antigen-specific immunotherapy, where understanding that variation in biomarker levels may have a large impact on immunotherapy success (22). The results of the randomized clinical trials designed to delay or prevent type 1 diabetes progression to date have indicated that timing of intervention, dosing and frequency, age at diagnosis, baseline C-peptide level, and number and type of Ab are important factors that need further investigation when designing effective treatment interventions. This study of a subgroup within the DPT-1 study provided new evidence that IAA titer affects responsiveness to oral insulin therapy. These results and advances in the immunological field (i.e., antigen-specific immunotherapy) using the TrialNet Network will provide ample opportunity to retest this hypothesis as well as others that evaluate varying dose and frequency of oral insulin therapy, evaluate other immunologic and metabolic biomarkers, and assess responsiveness to drug therapy as a prevention strategy in type 1 diabetes.
  22 in total

Review 1.  Regulating the immune response to transplants. a role for CD4+ regulatory cells?

Authors:  H Waldmann; S Cobbold
Journal:  Immunity       Date:  2001-04       Impact factor: 31.745

2.  Autoreactive T cell responses show proinflammatory polarization in diabetes but a regulatory phenotype in health.

Authors:  Sefina Arif; Timothy I Tree; Thomas P Astill; Jennifer M Tremble; Amanda J Bishop; Colin M Dayan; Bart O Roep; Mark Peakman
Journal:  J Clin Invest       Date:  2004-02       Impact factor: 14.808

3.  Coupling of oral human or porcine insulin to the B subunit of cholera toxin (CTB) overcomes critical antigenic differences for prevention of type I diabetes.

Authors:  J S Petersen; S Bregenholt; V Apostolopolous; D Homann; T Wolfe; A Hughes; K De Jongh; M Wang; T Dyrberg; M G Von Herrath
Journal:  Clin Exp Immunol       Date:  2003-10       Impact factor: 4.330

4.  No effect of oral insulin on residual beta-cell function in recent-onset type I diabetes (the IMDIAB VII). IMDIAB Group.

Authors:  P Pozzilli; D Pitocco; N Visalli; M G Cavallo; R Buzzetti; A Crinò; S Spera; C Suraci; G Multari; M Cervoni; M L Manca Bitti; M C Matteoli; G Marietti; F Ferrazzoli; M R Cassone Faldetta; C Giordano; M Sbriglia; E Sarugeri; G Ghirlanda
Journal:  Diabetologia       Date:  2000-08       Impact factor: 10.122

5.  Effects of insulin in relatives of patients with type 1 diabetes mellitus.

Authors: 
Journal:  N Engl J Med       Date:  2002-05-30       Impact factor: 91.245

Review 6.  Antigen-specific immunotherapy: oral tolerance and subcutaneous immunization in the treatment of insulin-dependent diabetes.

Authors:  A Muir; D Schatz; N Maclaren
Journal:  Diabetes Metab Rev       Date:  1993-12

7.  Oral insulin administration and residual beta-cell function in recent-onset type 1 diabetes: a multicentre randomised controlled trial. Diabète Insuline Orale group.

Authors:  L Chaillous; H Lefèvre; C Thivolet; C Boitard; N Lahlou; C Atlan-Gepner; B Bouhanick; A Mogenet; M Nicolino; J C Carel; P Lecomte; R Maréchaud; P Bougnères; B Charbonnel; P Saï
Journal:  Lancet       Date:  2000-08-12       Impact factor: 79.321

Review 8.  Antigen-specific immunotherapy of autoimmune and allergic diseases.

Authors:  Catherine A Sabatos-Peyton; Johan Verhagen; David C Wraith
Journal:  Curr Opin Immunol       Date:  2010-09-17       Impact factor: 7.486

9.  Suppression of diabetes in nonobese diabetic mice by oral administration of porcine insulin.

Authors:  Z J Zhang; L Davidson; G Eisenbarth; H L Weiner
Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-15       Impact factor: 11.205

10.  Oral administration of human insulin to NOD mice generates CD4+ T cells that suppress adoptive transfer of diabetes.

Authors:  I Bergerot; N Fabien; V Maguer; C Thivolet
Journal:  J Autoimmun       Date:  1994-10       Impact factor: 7.094

View more
  36 in total

Review 1.  Can we prevent type 1 diabetes?

Authors:  Giovanna Beauchamp; Michael J Haller
Journal:  Curr Diab Rep       Date:  2015-11       Impact factor: 4.810

2.  Prevention: Nipped in the bud.

Authors:  Scott P Edwards
Journal:  Nature       Date:  2012-05-17       Impact factor: 49.962

3.  Protective role of adenovirus vector-mediated interleukin-10 gene therapy on endogenous islet β-cells in recent-onset type 1 diabetes in NOD mice.

Authors:  Cheng Li; Lijuan Zhang; Yanyan Chen; Xiaojie Lin; Tang Li
Journal:  Exp Ther Med       Date:  2016-03-15       Impact factor: 2.447

Review 4.  Type 1 diabetes: A predictable disease.

Authors:  Kimber M Simmons; Aaron W Michels
Journal:  World J Diabetes       Date:  2015-04-15

Review 5.  Efficacy and safety of oral insulin compared to subcutaneous insulin: a systematic review and meta-analysis.

Authors:  V Akbari; F Hendijani; A Feizi; J Varshosaz; Z Fakhari; S Morshedi; S A Mostafavi
Journal:  J Endocrinol Invest       Date:  2015-06-24       Impact factor: 4.256

Review 6.  Lessons from type 1 diabetes for understanding natural history and prevention of autoimmune disease.

Authors:  Kimber Simmons; Aaron W Michels
Journal:  Rheum Dis Clin North Am       Date:  2014-09-02       Impact factor: 2.670

Review 7.  Immune Mechanisms and Pathways Targeted in Type 1 Diabetes.

Authors:  Laura M Jacobsen; Brittney N Newby; Daniel J Perry; Amanda L Posgai; Michael J Haller; Todd M Brusko
Journal:  Curr Diab Rep       Date:  2018-08-30       Impact factor: 4.810

8.  Complex dietary polysaccharide modulates gut immune function and microbiota, and promotes protection from autoimmune diabetes.

Authors:  Radhika Gudi; Nicolas Perez; Benjamin M Johnson; M Hanief Sofi; Robert Brown; Songhua Quan; Subha Karumuthil-Melethil; Chenthamarakshan Vasu
Journal:  Immunology       Date:  2019-03-07       Impact factor: 7.397

9.  Serum titres of anti-glutamic acid decarboxylase-65 and anti-IA-2 autoantibodies are associated with different immunoregulatory milieu in newly diagnosed type 1 diabetes patients.

Authors:  M Andrade Lima Gabbay; M N Sato; A J S Duarte; S A Dib
Journal:  Clin Exp Immunol       Date:  2012-04       Impact factor: 4.330

Review 10.  The IL-2/IL-2R system: from basic science to therapeutic applications to enhance immune regulation.

Authors:  Allison L Bayer; Alberto Pugliese; Thomas R Malek
Journal:  Immunol Res       Date:  2013-12       Impact factor: 2.829

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.