Anti-endothelial and anti-neuronal effects from auto-antibodies in subsets of adult diabetes having a cluster of microvascular complications

2011 ◽  
Vol 93 (1) ◽  
pp. 95-105 ◽  
Author(s):  
Mark B. Zimering ◽  
Janet Alder ◽  
Zui Pan ◽  
Robert J. Donnelly
Author(s):  
David Levy

Adolescence and emerging childhood forms an increasing proportion of the lifespan of urbanized individuals. Glycaemic control worsens during adolescence; physiology and psychology contribute. A1C levels peak around 9% (75 mmol/mol) before declining from late teens onwards. However, unchanging glycaemia (tracking) is common. Glycaemia has generally improved in the past 10–15 years, but significant differences between and within countries persist. Microvascular complications are prevalent at this stage, but have probably also decreased with time. During this important period, the stage can be set for premature macrovascular disease (early onset hypertension, arterial stiffening, dyslipidaemia, and smoking). Exercise reduces the risk of microvascular complications. Smoking is as common in young Type 1 patients than in the general population. Efforts at smoking cessation need reinforcing. Glycaemic control during university does not improve. Transition from paediatric to adult diabetes services is often unsatisfactory; clinics should implement simple procedures focusing on accessibility, flexibility, and improved communications.


2021 ◽  
Vol 12 ◽  
Author(s):  
Olena Fedotkina ◽  
Oksana Sulaieva ◽  
Turkuler Ozgumus ◽  
Liubov Cherviakova ◽  
Nadiya Khalimon ◽  
...  

BackgroundPresently, persons with diabetes are classified as having type 1 (T1D) or type 2 diabetes (T2D) based on clinical diagnosis. However, adult patients exhibit diverse clinical representations and this makes treatment approaches challenging to personalize. A recent Scandinavian study proposed a novel classification of adult diabetes into five clusters based on disease pathophysiology and risk of vascular complications. The current study aimed to characterize new subgroups of adult diabetes using this strategy in a defined population from northern Ukraine.MethodsWe analyzed 2,140 patients with established diabetes from the DOLCE study (n = 887 with new-onset diabetes and n = 1,253 with long duration). We used the k-means approach to perform clustering analyses using BMI, age at onset of diabetes, HbA1c, insulin secretion (HOMA2-B), and insulin resistance (HOMA2-IR) indices and glutamic acid decarboxylase antibodies (GADA) levels. Risks of macro- (myocardial infarction or stroke) and microvascular [retinopathy, chronic kidney disease (CKD) and neuropathy] complications and associations of genetic variants with specific clusters were studied using logistic regression adjusted for age, sex, and diabetes duration.ResultsSevere autoimmune diabetes (SAID, 11 and 6%) and severe insulin-deficient diabetes (SIDD, 25 and 14%) clusters were twice as prevalent in patients with long-term as compared to those with new-onset diabetes. Patients with long duration in both SAID and SIDD clusters had highest risks of proliferative retinopathy, and elevated risks of CKD. Long-term insulin-resistant obese diabetes 1 (IROD1) subgroup had elevated risks of CKD, while insulin-resistant obese diabetes 2 (IROD2) cluster exhibited the highest HOMA2-B, lowest HbA1c, and lower prevalence of all microvascular complications as compared to all other clusters. Genetic analyses of IROD2 subgroup identified reduced frequency of the risk alleles in the TCF7L2 gene as compared to all other clusters, cumulatively and individually (p = 0.0001).ConclusionThe novel reclassification algorithm of patients with adult diabetes was reproducible in this population from northern Ukraine. It may be beneficial for the patients in the SIDD subgroup to initiate earlier insulin treatment or other anti-diabetic modalities to preserve β-cell function. Long-term diabetes cases with preserved β-cell function and lower risk for microvascular complications represent an interesting subgroup of patients for further investigations of protective mechanisms.


2017 ◽  
Author(s):  
Yuliya Dydyshka ◽  
Alla Shepelkevich ◽  
Vladislav Yurkovets ◽  
Elena Brutskaya-Stempkovskaya ◽  
Marina Mantachik

2011 ◽  
Vol 4 (2) ◽  
pp. 12-14
Author(s):  
Dr Yash Patel ◽  
◽  
Dr Ashay Shingare ◽  
Dr Gautam Kalita ◽  
Dr Vinaya Bhandari

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 38-LB
Author(s):  
ANDRZEJ S. JANUSZEWSKI ◽  
EMMA S. SCOTT ◽  
MUGDHA JOGLEKAR ◽  
LUKE CARROLL ◽  
RYAN FARR ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 563-P
Author(s):  
AMMIRA S. AKIL ◽  
SUJITHA SUBASH PADMAJEYA ◽  
LAILA A. JERMAN ◽  
ALYA AL-KURBI ◽  
AMAL M. HUSSEIN ◽  
...  

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