scholarly journals The Association between Treatment Modality, Lipid Profile, Metabolic Control in Children with Type 1 Diabetes and Celiac Disease—Data from the International Sweet Registry

Nutrients ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 4473
Author(s):  
Monica Marino ◽  
Alexander J. Eckert ◽  
Shoshana Tell ◽  
Nevena Krnic ◽  
Grazyna Deja ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Celiac Disease ◽  
Lipid Profile ◽  
Metabolic Control ◽  
Treatment Modality ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Diabetes Duration ◽  
Cross Sectional

Background and Aims: A higher frequency of dyslipidemia is reported in children with type 1 diabetes (T1D) and celiac disease (CD). Recently, continuous subcutaneous insulin infusion (CSII) has been associated with better lipid profiles in patients with T1D. The aim of this study was to investigate the association between treatment modality and lipid profile, metabolic control, and body mass index (BMI)-SDS in children with both T1D and CD. Methods: Cross-sectional study in children registered in the international SWEET database in November 2020. Inclusion criteria were children (2–18 years) with T1D and CD with available data on treatment modality (CSII and injections therapy, IT), triglyceride, total cholesterol, HDL, LDL, dyslipidemia, HbA1c, and BMI-SDS. Overweight/obesity was defined as > +1 BMI-SDS for age. Data were analyzed by linear and logistical regression models with adjustment for age, gender, and diabetes duration. Results: In total 1009 children with T1D and CD (female 54%, CSII 54%, age 13.9 years ±3.6, diabetes duration 7.2 years ±4.1, HbA1c 7.9% ±1.4) were included. Significant differences between children treated with CSII vs. IT were respectively found; HDL 60.0 mg/dL vs. 57.8 mg/dL, LDL 89.4 mg/dL vs. 94.2 mg/dL, HbA1c 7.7 vs. 8.1%, BMI-SDS 0.4 vs. 0.6, overweight and obesity 17% vs. 26% (all p < 0.05). Conclusions: CSII is associated with higher HDL and lower LDL, HbA1c, BMI-SDS, and percentage of overweight and obesity compared with IT in this study. Further prospective studies are required to determine whether CSII improves lipid profile, metabolic control and normalize body weight in children with both T1D and CD.

scholarly journals Insulin micro-secretion in Type 1 diabetes and related microRNA profiles

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Andrzej S. Januszewski ◽  
Yoon Hi Cho ◽  
Mugdha V. Joglekar ◽  
Ryan J. Farr ◽  
Emma S. Scott ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Cross Sectional Study ◽  
Diabetes Duration ◽  
Adult Onset ◽  
Sectional Study ◽  
Childhood Onset ◽  
Cross Sectional ◽  
C Peptide ◽  
Adult Onset Diabetes

AbstractThe aim of this cross-sectional study was to compare plasma C-peptide presence and levels in people without diabetes (CON) and with Type 1 diabetes and relate C-peptide status to clinical factors. In a subset we evaluated 50 microRNAs (miRs) previously implicated in beta-cell death and associations with clinical status and C-peptide levels. Diabetes age of onset was stratified as adult (≥ 18 y.o) or childhood (< 18 y.o.), and diabetes duration was stratified as ≤ 10 years, 10–20 years and > 20 years. Plasma C-peptide was measured by ultrasensitive ELISA. Plasma miRs were quantified using TaqMan probe-primer mix on an OpenArray platform. C-peptide was detectable in 55.3% of (n = 349) people with diabetes, including 64.1% of adults and 34.0% of youth with diabetes, p < 0.0001 and in all (n = 253) participants without diabetes (CON). C-peptide levels, when detectable, were lower in the individuals with diabetes than in the CON group [median lower quartile (LQ)–upper quartile (UQ)] 5.0 (2.6–28.7) versus 650.9 (401.2–732.4) pmol/L respectively, p < 0.0001 and lower in childhood versus adult-onset diabetes [median (LQ–UQ) 4.2 (2.6–12.2) pmol/L vs. 8.0 (2.3–80.5) pmol/L, p = 0.02, respectively]. In the childhood-onset group more people with longer diabetes duration (> 20 years) had detectable C-peptide (60%) than in those with shorter diabetes duration (39%, p for trend < 0.05). Nine miRs significantly correlated with detectable C-peptide levels in people with diabetes and 16 miRs correlated with C-peptide levels in CON. Our cross-sectional study results are supportive of (a) greater beta-cell function loss in younger onset Type 1 diabetes; (b) persistent insulin secretion in adult-onset diabetes and possibly regenerative secretion in childhood-onset long diabetes duration; and (c) relationships of C-peptide levels with circulating miRs. Confirmatory clinical studies and related basic science studies are merited.

scholarly journals Prevalence of Celiac Disease in Omani Children with Type 1 Diabetes Mellitus: A Cross Sectional Study

2013 ◽  
Vol 28 (4) ◽  
pp. 260-263 ◽  
Author(s):  
Siham Al-Sinani ◽  
Sharef Waadallah Sharef ◽  
Saif Al-Yaarubi ◽  
Ibrahim Al-Zakwani ◽  
Khalid Al-Naamani ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Celiac Disease ◽  
Type 1 Diabetes Mellitus ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Exhaled volatile substances in children suffering from type 1 diabetes mellitus: results from a cross-sectional study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Phillip Trefz ◽  
Juliane Obermeier ◽  
Ruth Lehbrink ◽  
Jochen K. Schubert ◽  
Wolfram Miekisch ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Metabolic Control ◽  
Cross Sectional Study ◽  
Healthy Controls ◽  
Sectional Study ◽  
Cross Sectional ◽  
Non Invasive

Abstract Monitoring metabolic adaptation to type 1 diabetes mellitus in children is challenging. Analysis of volatile organic compounds (VOCs) in exhaled breath is non-invasive and appears as a promising tool. However, data on breath VOC profiles in pediatric patients are limited. We conducted a cross-sectional study and applied quantitative analysis of exhaled VOCs in children suffering from type 1 diabetes mellitus (T1DM) (n = 53) and healthy controls (n = 60). Both groups were matched for sex and age. For breath gas analysis, a very sensitive direct mass spectrometric technique (PTR-TOF) was applied. The duration of disease, the mode of insulin application (continuous subcutaneous insulin infusion vs. multiple daily insulin injection) and long-term metabolic control were considered as classifiers in patients. The concentration of exhaled VOCs differed between T1DM patients and healthy children. In particular, T1DM patients exhaled significantly higher amounts of ethanol, isopropanol, dimethylsulfid, isoprene and pentanal compared to healthy controls (171, 1223, 19.6, 112 and 13.5 ppbV vs. 82.4, 784, 11.3, 49.6, and 5.30 ppbV). The most remarkable differences in concentrations were found in patients with poor metabolic control, i.e. those with a mean HbA1c above 8%. In conclusion, non-invasive breath testing may support the discovery of basic metabolic mechanisms and adaptation early in the progress of T1DM.

scholarly journals Changes from 1986 to 2018 in the Prevalence of Obesity and Overweight, Metabolic Control and Treatment in Children with Type 1 Diabetes Mellitus

2021 ◽  
Author(s):  
María Teresa Pastor-Fajardo ◽  
María Teresa Fajardo-Giménez ◽  
Vicente Bosch-Giménez ◽  
José Pastor-Rosado
Keyword(s):  
Type 1 Diabetes ◽  
Children And Adolescents ◽  
Metabolic Control ◽  
Overweight And Obesity ◽  
World Health ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Diabetic Children ◽  
Health Organization

Abstract Background: In recent decades, a global increase in the prevalence of childhood overweight and obesity has been observed in children and adolescents with type 1 diabetes.Methods: This retrospective, cross-sectional, population study examined three groups (1986, 2007, and 2018) of children and adolescents aged <16 years diagnosed with type 1 diabetes. Overweight and obesity were defined according to the World Health Organization recommendations.Results: The prevalence of overweight and obesity in diabetic children and adolescents was 30.2% (95% CI: 23.1-38.3). There was a significant increase from 1986 to 2007 (11.9% to 41.7%, p=0.002) and from 1986 to 2018 (11.9% to 34.8%, p=0.012), but no significant differences were found from 2007 to 2018 (41.7% to 34.8%, p=0.492). The age at diagnosis was lower in the group with excess body mass (p=0.037). No significant differences were observed in age (p=0.690), duration of diabetes (p=0.163), distribution according to sex (p=0.452), metabolic control (HbA1c, p=0.909), or insulin units kg/day (p=0.566), in diabetic patients with overweight or obesity. From 2007 to 2018, the use of insulin analogs (p=0.009) and a higher number of insulin doses (p=0.007) increased significantly, with no increase in the prevalence of overweight and obesity.Conclusions: The evolution of the prevalence of overweight and obesity in diabetic children and adolescents during the study period is a reflection of the epidemic of childhood obesity in a global obesogenic environment.

Celiac disease in children with type 1 diabetes varies around the world: An international, cross‐sectional study of 57 375 patients from the SWEET registry

2020 ◽  
Author(s):  
Anna Taczanowska ◽  
Anke Schwandt ◽  
Shazhan Amed ◽  
Péter Tóth‐Heyn ◽  
Christina Kanaka‐Gantenbein ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Celiac Disease ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The World

scholarly journals High prevalence of celiac disease among Saudi children with type 1 diabetes: a prospective cross-sectional study

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Abdulrahman Al-Hussaini ◽  
Nimer Sulaiman ◽  
Musa Al-Zahrani ◽  
Ahmed Alenizi ◽  
Imad El Haj
Keyword(s):  
Type 1 Diabetes ◽  
Celiac Disease ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
High Prevalence

scholarly journals The First Phase Registration of Type 1 Diabetes in Yazd, Iran

2021 ◽  
Author(s):  
Maryam Askari ◽  
Nasim Namiranian ◽  
Hassan ali Mahmoudi Kohani ◽  
Seied Mohammad Reza Aghaee- Meybody ◽  
Saeed hossein Khalilzade ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Confidence Interval ◽  
Type 1 Diabetes Mellitus ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Sectional Study ◽  
Cross Sectional ◽  
Statistical Software

Objective: The aim of this study was registration of type 1 diabetes mellitus (T1DM) in Yazd (the first phase of registration). Materials and Methods: This study was a cross-sectional study on the first phase registration of T1DM in Yazd, Iran. Participants in this study included all patients diagnosed with T1DM by an endocrinologist. Data were analyzed by SPSS20 statistical software. Non-parametric tests were used in this study. Median ± Range was used to describe the data. Stata 13 software was used to calculate the confidence interval for the prevalence. Results: Yazd T1DM registry (YT1DMR) was conducted from June 2018 to August 2020. All new and old cases of T1DM were registered. YT1DMR was able to identify 158 T1DM and it registered the data of 128 patients. The age of the participants was between 2.5 - 57 years old. Median ± Range of age in these participants was calculated 17 ± 54.5. In terms of gender, (57.81%, CI= 48.76-66.48) of these patients were male. The prevalence of overweight and obesity in these patients was 17.32 (CI= 11.18- 25.04) and 6.29% (CI= 2.75-12.03), respectively. Conclusion: In the future, all patients with T1DM in Yazd province are expected to enroll in the YT1DMR and be followed up.

scholarly journals Galectin-3, metalloproteinase-2 and cardiovascular disease were independently associated with metalloproteinase-14 in patients with type 1 diabetes: a cross sectional study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Eva Olga Melin ◽  
Jonatan Dereke ◽  
Magnus Hillman
Keyword(s):  
Cardiovascular Disease ◽  
Type 1 Diabetes ◽  
Abdominal Obesity ◽  
Antihypertensive Drugs ◽  
Cross Sectional Study ◽  
Diabetes Duration ◽  
Self Report ◽  
Cross Sectional ◽  
Galectin 3

Abstract Background Type 1 diabetes (T1D) is a major risk factor for cardiovascular disease (CVD). Matrix metalloproteinase-14 (MMP-14) is involved in the development of atherosclerosis and CVD. The main aim was to explore the associations between MMP-14 and selected inflammatory and metabolic variables, CVD, depression, physical activity, smoking and medication in patients with T1D. The secondary aim was to explore associations with CVD. Methods Cross-sectional design. The participants were consecutively recruited from one specialist diabetes out-patient clinic. Depression was assessed by a self-report instrument. Blood samples, anthropometrics and blood pressure were collected, supplemented with data from electronic health records. High MMP-14 was defined as  ≥  5.81 ng/mL. Non-parametric tests, Chi2 tests and multiple logistic regression analyses were performed. Results Two hundred and sixty-eighth T1D patients aged 18–59 years participated (men 58%, high MMP-14 25%, CVD 3%). Sixty-seven patients with high MMP-14, compared to 201 patients with lower MMP-14, had higher prevalence of CVD (8% versus 1%, p  =  0.012), and had higher levels of galectin-3 (p  <  0.001) and MMP-2 (p  =  0.018). Seven patients with CVD, compared to 261 without, were older (p  =  0.003), had longer diabetes duration (p  =  0.027), and had higher prevalence of high MMP-14 (71% versus 24%, p  =  0.012), abdominal obesity (p  =  0.014), depression (p  =  0.022), usage of antidepressants (p  =  0.008), antihypertensive drugs (p  =  0.037) and statins (p  =  0.049). Galectin-3 (per ng/mL) [adjusted odds ratio (AOR) 2.19, p  <  0.001], CVD (AOR 8.1, p  =  0.027), and MMP-2 (per ng/mL) (AOR 1.01, p  =  0.044) were associated with high MMP-14. Depression (AOR 17.4, p  =  0.006), abdominal obesity (15.8, p  =  0.006), high MMP-14 (AOR 14.2, p  =  0.008), and diabetes duration (AOR 1.10, p  =  0.012) were associated with CVD. Conclusions The main findings of this study were that galecin-3, MMP-2, and CVD were independently associated with high levels of MMP-14 in T1D patients. The association between MMP-14 and galectin-3 is a new finding. No traditional risk factors for CVD were associated with MMP-14. Depression, abdominal obesity and MMP-14 were independently associated with CVD.

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