Relationship of functional state of pancreas and metabolic syndrome in children

2019 ◽  
Vol 161 (1) ◽  
pp. 75-80
Author(s):  
T. A. Bokova ◽  
2014 ◽  
Vol 106 ◽  
pp. S202
Author(s):  
S. Mishra ◽  
D. Himanshu ◽  
N. Verma ◽  
K.K. Sawlani ◽  
S.C. Choudhary ◽  
...  

2013 ◽  
Vol 168 (3) ◽  
pp. 393-401 ◽  
Author(s):  
Christa C van Bunderen ◽  
Mirjam M Oosterwerff ◽  
Natasja M van Schoor ◽  
Dorly J H Deeg ◽  
Paul Lips ◽  
...  

ObjectiveHigh as well as low levels of IGF1 have been associated with cardiovascular diseases (CVD). The relationship of IGF1 with (components of) the metabolic syndrome could help to clarify this controversy. The aims of this study were: i) to investigate the association of IGF1 concentration with prevalent (components of) the metabolic syndrome; and ii) to examine the role of (components of) the metabolic syndrome in the relationship between IGF1 and incident CVD during 11 years of follow-up.MethodsData were used from the Longitudinal Aging Study Amsterdam, a cohort study in a representative sample of the Dutch older population (≥65 years). Data were available in 1258 subjects. Metabolic syndrome was determined using the definition of the US National Cholesterol Education Program Adult Treatment Panel III. CVD were ascertained by self-reports and mortality data.ResultsLevels of IGF1 in the fourth quintile were associated with prevalent metabolic syndrome compared with the lowest quintile (odds ratio: 1.59, 95% confidence interval (CI) 1.09–2.33). The middle up to the highest quintile of IGF1 was positively associated with high triglycerides in women. Metabolic syndrome was not a mediator in the U-shaped relationship of IGF1 with CVD. Both subjects without the metabolic syndrome and low IGF1 levels (hazard ratio (HR) 1.75, 95% CI 1.12–2.71) and subjects with the metabolic syndrome and high IGF1 levels (HR 2.28, 95% CI 1.21–4.28) demonstrated increased risks of CVD.ConclusionsIn older people, high-normal IGF1 levels are associated with prevalent metabolic syndrome and high triglycerides. Furthermore, this study suggests the presence of different pathomechanisms for both low and high IGF1 levels and incident CVD.


2021 ◽  
Vol 2021 (1) ◽  
pp. 17-21
Author(s):  
T.D. Zvyagintseva ◽  
◽  
Ya.K. Gamanenko ◽  

The article is devoted to the analysis of the literature on the problem of the possible relationship of Helicobacter pylori in the pathogenesis of various extragastric pathologies - diabetes mellitus, metabolic syndrome, cardiovascular diseases and multiple sclerosis. It is possible that Helicobacter pylori infection plays an independent role in the pathogenesis of these diseases.


2011 ◽  
Vol 8 (3) ◽  
pp. 46-50 ◽  
Author(s):  
I V Madyanov ◽  
V A Kichigin ◽  
T N Markova ◽  
S M Semakina ◽  
I B Bashkova

The aim. To study the functional state of adrenal cortex and thyroid gland in metabolic syndrome (MS). 186 women and 65 men were included. Blood levels of cortisol, dehydroepiandrosterone sulphate, total thyroxin, total triiodothyronine, thyroid stimulating hormone were studied in subjects with and without metabolic syndrome (IDF test) and their relation with MS components. The results. 75 (29,9%) of the 251 examined patients had MS. In the group with MS the levels of total thyroxin and dehydroepiandrosterone sulphate were decreased to 1,90±0,18 microgram/milliliter vs. 2,37±0,12 microgram/milliliter (р=0,033) in patients without MS and 2,19±0,26 nmol/l vs. 2,59±0,15 nmol/l (р=0,040), respectively. The levels of dehydroepiandrosterone sulphate were inversely correlated with the systolic blood pressure (r=-0,23, р


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Bingyang Liu ◽  
Yue Li ◽  
Jiamei Guo ◽  
Yuting Fan ◽  
Ling Li ◽  
...  

Aims. To investigate the influence of body mass index (BMI) and its change from adolescence to adulthood (ΔBMI) on the risk of metabolic syndrome (MetS) in early adulthood. Methods. We selected 931 students from 12 to 16 years of age in Liaoyang City, China. Ninety-three participants from 18 to 22 years of age with complete baseline data were available for follow-up after 5 years. Statistical analysis determined the relationship of MetS at follow-up with baseline BMI (BMIb), ΔBMI, and follow-up BMI (BMIf). Results. ΔBMI was positively correlated with the change of waist circumference (ΔWC), systolic blood pressure (ΔSBP), triglycerides (ΔTG), uric acid, and glycosylated hemoglobin (ΔHbA1c) in follow-up ( p < 0.05 ). For every 1 kg/m2 increase in BMIb, ΔBMI, and BMIf, the risk of MetS at follow-up increased 1.201-fold, 1.406-fold, and 1.579-fold, respectively. Both BMIb and ΔBMI were predictive of MetS at follow-up, with prediction thresholds of 23.47 kg/m2 and 1.95 kg/m2. The participants were divided by the predicted BMIb and ΔBMI threshold values into four study groups. Interestingly, the group with lower BMI but a higher increase in BMI presented the same metabolic derangements and Mets% of the group with higher BMI but lower Δ BMI. Conclusion. Both BMI of adolescence and ΔBMI were predictive of MetS and cardiovascular risk factors in adulthood. Control of both variables in adolescents would be more effective in decreasing the risk of MetS in young adults than control of BMI alone.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Kenji Nishimura ◽  
Taichi Murakami ◽  
Toshihiro Sakurai ◽  
Masashi Miyoshi ◽  
Kiyoe Kurahashi ◽  
...  

Abstract Circulating ApolipoproteinL1 (ApoL1) is a component of pre-β-high-density lipoprotein (HDL), however little is known about the relationship of ApoL1 with cardiometabolic factors. Considering previous studies reporting the correlation of ApoL1 to triglyceride, we have hypothesized that ApoL1 associates with insulin-related metabolism. The current study examined their associations in 126 non-diabetic subjects and 36 patients with type 2 diabetes (T2DM). Non-diabetic subjects demonstrated triglyceride (standardized coefficients [s.c.] = 0.204, p < 0.05), body mass index (s.c. =0.232, p < 0.05) and HDL cholesterol (s.c. = −0.203, p < 0.05) as independent determinant of ApoL1 levels, and the significant elevation of ApoL1 in metabolic syndrome. Lipoprotein fractionation analysis revealed the predominant distribution of ApoL1 in large HDL fraction, and the significant increase of ApoL1 in large LDL fraction in high ApoL1 samples with insulin resistance. In T2DM, ApoL1 was higher in T2DM with metabolic syndrome, however ApoL1 was lower with β cell dysfunction. Insulin significantly promotes ApoL1 synthesis and secretion in HepG2 cells. In conclusion, circulating ApoL1 may be associated with abnormal HDL metabolism in insulin resistant status. This may suggest a regulation of insulin signal on the ApoL1 level, leading to offer a novel insight to the ApoL1 biology.


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