Plasma Irisin Levels in Subjects with Type 1 Diabetes: Comparison with Healthy Controls

2018 ◽  
Vol 50 (11) ◽  
pp. 803-810 ◽  
Author(s):  
Anastasios Tentolouris ◽  
Ioanna Eleftheriadou ◽  
Dimitrios Tsilingiris ◽  
Ioanna Anastasiou ◽  
Ourania Kosta ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Multivariate Analysis ◽  
Waist Circumference ◽  
Univariate Analysis ◽  
Cross Sectional Study ◽  
Healthy Controls ◽  
Serum Triglycerides ◽  
Cross Sectional

AbstractIrisin is a myokine that increases energy expenditure. In this cross-sectional study, we examined for differences in plasma irisin concentrations between subjects with type 1 diabetes mellitus and healthy individuals and searched for associations between plasma irisin levels and clinical and biochemical characteristics as well as self-reported physical activity. A total of 79 subjects with type 1 diabetes [age 38.2±12.5 years, men/women (n): 27/52], were consecutively recruited. Moreover, 53 healthy controls, matched for age and body mass index with those with diabetes were recruited. Plasma irisin was measured with ELISA. Participants were asked about their physical activity during the last week. We also measured trunk and visceral fat. Circulating irisin levels were lower in subjects with diabetes than in controls [median value (interquartile range): 53.0 (35.2, 106.3) vs. 178.1 (42.6, 641.6) ng/ml, respectively, p<0.001]. In the group of diabetes, univariate analysis showed that irisin levels were associated with waist circumference (beta=–0.283, p=0.023), serum triglycerides (beta=–0.282, p=0.031), and trunk fat (beta=–0.324, p=0.012). In multivariate analysis after adjustment for potential confounders, irisin levels were associated independently only with waist circumference (beta=–0.403, p=0.005). Among controls, multivariate analysis demonstrated that irisin levels were associated with pack-years of smoking (beta=–0.563, p=0.012) and fasting triglycerides (beta=–0.338, p=0.041). Circulating irisin levels were lower in subjects with diabetes in comparison with healthy-matched controls. In conclusion, plasma irisin concentrations in subjects with diabetes were associated with waist circumference, while in controls with serum triglycerides and pack-years of smoking.

scholarly journals Association Between Physical Activity Level and Cardiovascular Risk Factors in Adolescents Living with Type 1 Diabetes: A Cross-sectional Study

2020 ◽  
Author(s):  
Nana Wu ◽  
Shannon Bredin ◽  
Veronica Jamnik ◽  
Michael Koehle ◽  
Yanfei Guan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 1 Diabetes ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Cross Sectional Study ◽  
Healthy Controls ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background: Type 1 diabetes (T1D) is associated with a high risk of cardiovascular disease (CVD) and an increased rate of premature mortality from CVD. Regular physical activity can improve overall health and wellbeing and plays an important role in primary and secondary prevention of CVD. Methods: This cross-sectional study assessed cardiovascular risk factors, physical activity, and fitness (and their associations) in young individuals living with T1D and healthy controls. Primary outcomes included blood pressure, lipid profiles, and physical activity (accelerometry). We included a total of 48 individuals living with T1D and 19 healthy controls, aged 12 to 17 years. Statistical differences between groups were determined with chi-square, independent-samples t-tests or analysis of covariance. The associations between aerobic fitness, daily physical activity variables and cardiovascular risk factors were assessed with univariate and multivariate linear regression analysis.Results: In comparison to healthy controls, youth living with T1D showed higher levels of total cholesterol (4.03 ± 0.81 vs. 3.14 ± 0.67 mmol·L-1, p = 0.001), low-density lipoprotein cholesterol (LDL-C) (2.31 ± 0.72 vs. 1.74 ± 0.38 mmol·L-1, p = 0.035), and triglycerides (0.89 ± 0.31 vs. 0.60 ± 0.40 mmol·L-1 p = 0.012), and lower maximal oxygen power (VO2max) (35.48 ± 8.72 vs. 44.43 ± 8.29 mL·kg-1·min-1, p = 0.003), total physical activity counts (346.87 ± 101.97 vs. 451.01 ± 133.52 counts·min-1, p = 0.004), metabolic equivalents (METs) (2.09 ± 0.41 vs. 2.41 ± 0.60 METs, p = 0.033), moderate to vigorous intensity physical activity (MVPA), and the percentage of time spent in MVPA. The level of HDL-C was positively associated with METs (β = 0.29, p = 0.030, model R2 = 0.17), and the level of triglycerides was negatively associated with physical activity counts (β = -0.001, p = 0.018, model R2 = 0.205) and METs (β = -0.359, p = 0.015, model R2 = 0.208) in persons living with T1D. Conclusions:Youth with T1D, despite their young age and short duration of diabetes, present early signs of CVD risk, as well as low physical activity levels and cardiorespiratory fitness compared to healthy controls. Regular physical activity is associated with a beneficial cardiovascular profile in T1D, including improvements in lipid profile. Thus, physical activity participation should be widely promoted in youth living with T1D.

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 Physical Activity in Adolescents with and without Type 1 Diabetes during the New Zealand COVID-19 Pandemic Lockdown of 2020

2021 ◽  
Vol 18 (9) ◽  
pp. 4475
Author(s):  
Deborah M. Telford ◽  
Dana M. Signal ◽  
Paul L. Hofman ◽  
Silmara Gusso
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
New Zealand ◽  
Cross Sectional Study ◽  
Z Score ◽  
Cross Sectional ◽  
Lifestyle Management ◽  
Health And Wellbeing ◽  
And Control

Physical activity (PA) is an important part of lifestyle management for adolescents with Type 1 diabetes (T1D). Opportunities for PA were reduced by COVID-19 restrictions. Therefore, the purpose of this cross-sectional study was to compare PA among adolescents with and without T1D during the first New Zealand (NZ) COVID-19 lockdown. PA levels of adolescents aged 11–18 years with T1D (n = 33) and healthy controls (n = 34) were assessed through self-reported and parent proxy-reported questionnaires. Overall, PA levels during lockdown were below recommended levels. PA levels did not differ between T1D and control participants (p = 0.212) nor between genders (p = 0.149). Younger adolescents tended to be more active than older adolescents (p = 0.079). PA level was negatively associated with BMI z-score (r = −0.29, p = 0.026) but was not associated with socioeconomic status (SES) or T1D-related parameters. In the T1D group, higher HbA1c was associated with lower school decile (r = −0.58, p < 0.001) and higher BMI z-score (r = 0.68, p < 0.001). Overall, young people were insufficiently active during lockdown, and some sub-groups were more affected than others by the restrictions. Pandemics are likely to be part of our future, and further studies are needed to understand their impact on the health and wellbeing of adolescents.

scholarly journals Glycemic control associated factors in type 1 diabetes mellitus patients: a cross sectional study

2015 ◽  
Vol 7 (S1) ◽  
Author(s):  
Patrícia Ramos Guzatti ◽  
Amely PS Balthazar ◽  
Maria Heloisa Busi da Silva Canalli ◽  
Thais Fagnani Machado
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Type 1 Diabetes Mellitus ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Association between central non-dipping pattern and platelet morphology in adults with type 1 diabetes without cardiovascular disease: a cross-sectional study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michal Kulecki ◽  
Dariusz Naskret ◽  
Mikolaj Kaminski ◽  
Dominika Kasprzak ◽  
Pawel Lachowski ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 1 Diabetes ◽  
Smoking Status ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Distribution Width ◽  
Non Invasive ◽  
Platelet Morphology ◽  
Oscillometric Device

AbstractThe non-dipping pattern is nighttime systolic blood pressure (SBP) fall of less than 10%. Several studies showed that the non-dipping pattern, increased mean platelet volume (MPV), and platelet distribution width (PDW) are associated with elevated cardiovascular risk. Hypertensives with the non-dipping pattern have higher MPV than the dippers but this relationship was never investigated among people with type 1 diabetes mellitus (T1DM). This study aimed to investigate the association between the central dipping pattern and platelet morphology in T1DM subjects. We measured the central and brachial blood pressure with a validated non-invasive brachial oscillometric device—Arteriograph 24—during twenty-four-hour analysis in T1DM subjects without diagnosed hypertension. The group was divided based on the central dipping pattern for the dippers and the non-dippers. From a total of 62 subjects (32 males) aged 30.1 (25.7–37) years with T1DM duration 15.0 (9.0–20) years, 36 were non-dippers. The non-dipper group had significantly higher MPV (MPV (10.8 [10.3–11.5] vs 10.4 [10.0–10.7] fl; p = 0.041) and PDW (13.2 [11.7–14.9] vs 12.3 [11.7–12.8] fl; p = 0.029) than dipper group. Multivariable logistic regression revealed that MPV (OR 3.74; 95% CI 1.48–9.45; p = 0.005) and PDW (OR 1.91; 95% CI 1.22–3.00; p = 0.005) were positively associated with central non-dipping pattern adjusting for age, sex, smoking status, daily insulin intake, and height. MPV and PDW are positively associated with the central non-dipping pattern among people with T1DM.

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.

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