CRP and IL-6 concentrations are associated with poor glycemic control despite preservedβ-cell function during the first year after diagnosis of type 1 diabetes

2004 ◽  
Vol 20 (3) ◽  
pp. 205-210 ◽  
Author(s):  
Anna Schölin ◽  
Agneta Siegbahn ◽  
Lars Lind ◽  
Christian Berne ◽  
Göran Sundkvist ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Cell Function ◽  
Poor Glycemic Control ◽  
First Year

Variation within thePPARGgene is associated with residual beta-cell function and glycemic control in children and adolescents during the first year of clinical type 1 diabetes

2008 ◽  
Vol 9 (4pt1) ◽  
pp. 297-302 ◽  
Author(s):  
Sven Pörksen ◽  
Lotte B Nielsen ◽  
Henrik B Mortensen ◽  
Thomas Danne ◽  
Mirjana Kocova ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Beta Cell ◽  
Children And Adolescents ◽  
Beta Cell Function ◽  
Cell Function ◽  
First Year ◽  
Clinical Type

836-P: Cannabis Use in Adults with Type 1 Diabetes (T1D) Is Associated with Poor Glycemic Control and Increased Risk for Diabetic Ketoacidosis (DKA)

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 836-P ◽  
Author(s):  
VIRAL N. SHAH ◽  
DANIEL D. TAYLOR ◽  
NICOLE C. FOSTER ◽  
ROY BECK ◽  
HALIS K. AKTURK ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Diabetic Ketoacidosis ◽  
Cannabis Use ◽  
Poor Glycemic Control ◽  
Increased Risk

scholarly journals Postexercise Glycemic Control in Type 1 Diabetes Is Associated With Residual β-Cell Function

Diabetes Care ◽  
2020 ◽  
Vol 43 (10) ◽  
pp. 2362-2370 ◽  
Author(s):  
Guy S. Taylor ◽  
Kieran Smith ◽  
Tess E. Capper ◽  
Jadine H. Scragg ◽  
Ayat Bashir ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Cell Function ◽  
Β Cell ◽  
Β Cell Function

scholarly journals Poor glycemic control is associated with low BMD detected in premenopausal women with type 1 diabetes

2008 ◽  
Vol 20 (6) ◽  
pp. 923-933 ◽  
Author(s):  
K. K. Danielson ◽  
M. E. Elliott ◽  
T. LeCaire ◽  
N. Binkley ◽  
M. Palta
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Premenopausal Women ◽  
Poor Glycemic Control

scholarly journals Genetic Risk Score Modelling for Disease Progression in New-Onset Type 1 Diabetes Patients: Increased Genetic Load of Islet-Expressed and Cytokine-Regulated Candidate Genes Predicts Poorer Glycemic Control

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Caroline A. Brorsson ◽  
Lotte B. Nielsen ◽  
Marie Louise Andersen ◽  
Simranjeet Kaur ◽  
Regine Bergholdt ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Disease Progression ◽  
Candidate Genes ◽  
Risk Score ◽  
Genetic Risk ◽  
Cell Function ◽  
Genetic Risk Score ◽  
Newly Diagnosed

Genome-wide association studies (GWAS) have identified over 40 type 1 diabetes risk loci. The clinical impact of these loci onβ-cell function during disease progression is unknown. We aimed at testing whether a genetic risk score could predict glycemic control and residualβ-cell function in type 1 diabetes (T1D). As gene expression may represent an intermediate phenotype between genetic variation and disease, we hypothesized that genes within T1D loci which are expressed in islets and transcriptionally regulated by proinflammatory cytokines would be the best predictors of disease progression. Two-thirds of 46 GWAS candidate genes examined were expressed in human islets, and 11 of these significantly changed expression levels following exposure to proinflammatory cytokines (IL-1β+ IFNγ+ TNFα) for 48 h. Using the GWAS single nucleotide polymorphisms (SNPs) from each locus, we constructed a genetic risk score based on the cumulative number of risk alleles carried in children with newly diagnosed T1D. With each additional risk allele carried, HbA1c levels increased significantly within first year after diagnosis. Network and gene ontology (GO) analyses revealed that several of the 11 candidate genes have overlapping biological functions and interact in a common network. Our results may help predict disease progression in newly diagnosed children with T1D which can be exploited for optimizing treatment.

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