Individual and diabetes presentation characteristics associated with partial remission status in children and adults evaluated up to 12 months following diagnosis of type 1 diabetes: An ADDRESS-2 (After Diagnosis Diabetes Research Support System-2) study analysis

2019 ◽  
Vol 155 ◽  
pp. 107789 ◽  
Author(s):  
Anna Humphreys ◽  
Vassiliki Bravis ◽  
Akaal Kaur ◽  
Helen C. Walkey ◽  
Ian F. Godsland ◽  
...  
BMJ Open ◽  
2017 ◽  
Vol 7 (7) ◽  
pp. e013956 ◽  
Author(s):  
Helen C Walkey ◽  
Akaal Kaur ◽  
Vassiliki Bravis ◽  
Ian F Godsland ◽  
Shivani Misra ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1696-P
Author(s):  
SHIVANI MISRA ◽  
AKAAL KAUR ◽  
IAN F. GODSLAND ◽  
HELEN C. WALKEY ◽  
DESMOND G. JOHNSTON ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 209-OR ◽  
Author(s):  
ANA MARIA ARBELAEZ ◽  
STEFANI O’DONOGHUE ◽  
NELLY MAURAS ◽  
BRUCE A. BUCKINGHAM ◽  
NEIL H. WHITE ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Sharad Purohit ◽  
Ashok Sharma ◽  
Jin-Xiong She

Complex interactions between a series of environmental factors and genes result in progression to clinical type 1 diabetes in genetically susceptible individuals. Despite several decades of research in the area, these interactions remain poorly understood. Several studies have yielded associations of certain foods, infections, and immunizations with the onset and progression of diabetes autoimmunity, but most findings are still inconclusive. Environmental triggers are difficult to identify mainly due to (i) large number and complex nature of environmental exposures, including bacteria, viruses, dietary factors, and environmental pollutants, (ii) reliance on low throughput technology, (iii) less efforts in quantifying host response, (iv) long silent period between the exposure and clinical onset of T1D which may lead to loss of the exposure fingerprints, and (v) limited sample sets. Recent development in multiplex technologies has enabled systematic evaluation of different classes of molecules or macroparticles in a high throughput manner. However, the use of multiplex assays in type 1 diabetes research is limited to cytokine assays. In this review, we will discuss the potential use of multiplex high throughput technologies in identification of environmental triggers and host response in type 1 diabetes.


2009 ◽  
Vol 29 (2) ◽  
pp. 85 ◽  
Author(s):  
VR Rao ◽  
Oindrila Raha ◽  
Subhankar Chowdhury ◽  
Samir Dasgupta ◽  
P Raychaudhuri ◽  
...  

Author(s):  
Emine Ayça Cimbek ◽  
Aydın Bozkır ◽  
Deniz Usta ◽  
Nazım Ercüment Beyhun ◽  
Ayşenur Ökten ◽  
...  

Abstract Objectives Most patients with type 1 diabetes (T1D) experience a transient phase of partial remission (PR). This study aimed to identify the demographic and clinical factors associated with PR. Methods This was a longitudinal retrospective cohort study of 133 children and adolescents with T1D. PR was defined by the gold standard insulin dose-adjusted hemoglobin A1c (HbA1c) (IDAA1c) of ≤9. Results Remission was observed in 77 (57.9%) patients. At diagnosis, remitters had significantly higher pH (7.3 ± 0.12 vs. 7.23 ± 0.15, p=0.003), higher C-peptide levels (0.45 ± 0.31 ng/mL vs. 0.3 ± 0.22, p=0.003), and they were significantly older (9.3 ± 3.6 years vs. 7.3 ± 4.2, p=0.008) compared with non-remitters. PR developed more frequently in patients without diabetic ketoacidosis (DKA) (p=0.026) and with disease onset after age 5 (p=0.001). Patients using multiple daily insulin regimen were more likely to experience PR than those treated with a twice daily regimen (63.9 vs. 32%, p=0.004). Only age at onset was an independent predictor of PR (OR: 1.12, 95% CI: 1-1.25; p=0.044). Remitters had lower HbA1c levels and daily insulin requirement from diagnosis until one year after diagnosis (p<0.001). PR recurred in 7 (9%) patients. The daily insulin requirement at three months was lower in remitters with PR recurrence compared to those without (0.23 ± 0.14 vs. 0.4 ± 0.17 U/kg/day, p=0.014). Conclusions Addressing factors associated with the occurrence of PR could provide a better comprehension of metabolic control in T1D. The lack of DKA and higher C-peptide levels may influence PR, but the main factor associated with PR presence was older age at onset. PR may recur in a small proportion of patients.


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