scholarly journals Butyrylcholinesterase and diabetes mellitus in the CHE2 C5- and CHE2 C5+ phenotypes

2010 ◽  
Vol 54 (1) ◽  
pp. 60-67 ◽  
Author(s):  
Mauro M. Cwiertnia ◽  
Vânia M. Alcântara ◽  
Rosângela R. Réa ◽  
Ana Cristina R. A. Faria ◽  
Geraldo Picheth ◽  
...  

OBJECTIVE:To investigate the relationship between butyrylcholinesterase (BChE) activities (total and band specific) and diabetes mellitus. SUBJECTS AND METHODS: BChE activities (BChEA, AC 4/5, AC OF and RC5) were analyzed in 101 type 1 (DM1) and in 145 type 2 (DM2) diabetic patients, in relation to phenotype, weight and incidence of metabolic syndrome (MS) in these patients. The C4/5 and C5 complex were separated from other molecular forms (C OF) using an acid agar gel. RESULTS: The BChE activity (BChEA) and the absolute activities of C4/5 (AC4/5) and C OF (AC OF) showed a high positive correlation coefficient to weight in the CHE2 C5- group, while the relative activity of C5 complex (RC5) showed a negative correlation to weight. CONCLUSIONS: The present study suggests that the positive correlation of the BChE activities to diabetes mellitus and to insulin resistance may depend on the CHE2 locus variability. High values of BChE activities were associated with insulin resistance only in CHE2 C5- diabetic patients, while in CHE2 C5+ diabetic patients, the presence of C5 complex, especially in a relatively high proportion, leads to less fat storage and better protection against metabolic syndrome.

Medicina ◽  
2021 ◽  
Vol 57 (11) ◽  
pp. 1249
Author(s):  
Oana Irina Gavril ◽  
Lidia Iuliana Arhire ◽  
Radu Sebastian Gavril ◽  
Madalina Ioana Zota ◽  
Andreea Gherasim ◽  
...  

Background and Objectives: Non-alcoholic fatty liver disease is a worldwide significant public health problem, particularly in patients with type 2 diabetes mellitus. Identifying possible risk factors for the disease is mandatory for a better understandingand management of this condition. Patatin-like phospholipase domain-containing protein 3 (PNPLA3) has been linked to the development and evolution of fatty liver but not to insulin resistance. The aim of this study isto evaluate the relationships between PNPLA3 and fatty liver, metabolic syndrome and subclinical atherosclerosis. Materials and Methods: The study group consisted of patients with type 2 diabetes mellitus without insulin treatment. The degree of liver fat loading was assessed by ultrasonography, and subclinical atherosclerosis was assessed using carotid intima-media thickness (CIMT). PNPLA3 rs738409 genotype determination was performed by high-resolution melting analysis that allowed three standard genotypes: CC, CG, and GG. Results: Among the 92 patients, more than 90% showed various degrees of hepatic steatosis, almost 62% presented values over the normal limit for the CIMT. The majority of the included subjects met the criteria for metabolic syndrome. Genotyping of PNPLA3 in 68 patients showed that the difference between subjects without steatosis and subjects with hepatic steatosis was due to the higher frequency of genotype GG. The CC genotype was the most common in the group we studied and was significantly more frequent in the group of subjects with severe steatosis; the GG genotype was significantly more frequent in subjects with moderate steatosis; the frequency of the CG genotype was not significantly different among the groups.When we divided the group of subjects into two groups: those with no or mild steatosis and those with moderate or severe steatosis it was shown that the frequency of the GG genotype was significantly higher in the group of subjects with moderate or severe steatosis. PNPLA3 genotypes were not associated with metabolic syndrome, subclinical atherosclerosis, or insulin resistance. Conclusions: Our results suggest that PNPLA3 does not independently influence cardiovascular risk in patients with type 2 diabetes mellitus. The hypothesis that PNPLA3 may have a cardioprotective effect requires future confirmation.


Author(s):  
V Stefanovicć ◽  
M Rajicć ◽  
S Anticć ◽  
M Miticć-Zlatkovicć ◽  
S Stojiljkovicć ◽  
...  

Background: Insulin resistance characterizes type 1 diabetes mellitus with nephropathy. The molecular mechanisms of insulin resistance are not completely understood. Recently some advances have been made in identification of transmembrane glycoprotein PC-1 as a potential factor of insulin resistance. Methods: We measured urinary excretion of PC-1 (alkaline phosphodiesterase I), a potential factor of insulin resistance, and N-acetyl-β-D-glucosaminidase (NAGA) in 62 type 1 diabetic patients with different damage to the kidney. Results: In newly detected type 1 diabetes patients, before insulin therapy, urine PC-1 excretion was significantly increased (P<0·05) over the control level. However, in patients after 12·4 years of therapy, urinary PC-1 was significantly decreased (P<0·05). Decreased urine PC-1 activity (P<0·05) was found also in type 1 diabetes patients with microalbuminuria and manifest nephropathy, including those with renal failure. Urinary NAGA excretion was found to be significantly increased (P=0·001) in all but the group of type 1 diabetes patients without nephropathy. Conclusion: This study of urinary PC-1 in patients with type 1 diabetes shows increased excretion in newly detected patients with poor glycaemic control, but decreased excretion in patients with micro-/macroalbuminuria as well as in those without apparent kidney damage. In patients with primary glomerulonephritis, urinary excretion of PC-1 was significantly decreased and that of NAGA significantly increased compared with the excretion in healthy controls.


2020 ◽  
pp. 1-2
Author(s):  
Sumit Kumar ◽  
Dharmendra Prasad ◽  
Parshuram Yugal ◽  
Debarshi Jana

Background and Aims : Diabetes mellitus (DM) is a chronic disease which can evolve towards devastating micro- and macrovascular complications. DM is the most frequent cause of chronic kidney disease (CKD). Insulin resistance plays an important role in the natural history of type 1 diabetes. The purpose of the study was to determine the prevalence of CKD in T1DM and the correlation with insulin resistance (IR) in patients with CKD. Materials and Methods : The study was conducted over a period of two years (2014–2015) and included patients with DM admitted in Medicine Department of ANMMCH, Gaya, Bihar. The study design was an epidemiological, transversal, noninterventional type. Finally, the study group included 200 subjects with type 1 DM. Insulin resistance (IR) was estimated by eGDR. The subjects with eGDR ≤ 7.5mg/kg/min were considered with insulin resistance. Results : CKD was found in 44% of the patients. Analyzing statistically the presence of CKD, we found highly significant differences between patients with CKD and those without CKD regarding age and sex of the patients, the duration of diabetes, glycosylated hemoglobin (HbA1c), the estimated glucose disposal rate (eGDR), and the presence of hypertension, dyslipidemia, and hyperuricaemia. In patients with CKD, age and diabetes duration are significantly higher than in those who do not have this complication. CKD is more frequent in males than in females (50.9% men versus 34.5% women, ). From the elements of metabolic syndrome, high blood pressure, hyperuricemia, and dyslipidemia are significantly increased in diabetic patients with CKD. eGDR value (expressed as mg•kg−1•min−1) is lower in patients with CKD than in those without CKD (15.92 versus 6.42, ) indicating the fact that patients with CKD show higher insulin resistance than those without CKD. Conclusions. This study has shown that insulin resistance is associated with an increased risk of CKD, but, due to the cross-sectional design, the causal relationship cannot be assessed.


2020 ◽  
Vol 8 (B) ◽  
pp. 943-948
Author(s):  
Dinara Sheryazdanova ◽  
Yelena M. Laryushina ◽  
Larissa Muravlyova ◽  
Lyudmila G. Turgunova ◽  
Assel R. Alina ◽  
...  

BACKGROUND: The number of patients with diabetes mellitus (DM) is progressively increasing all over the world. Over the past three decades, the global burden of diabetes has increased from 30 million in 1985 to 382 million in 2015, and current trends indicate that the prevalence of diabetes grows progressively. The phenomenon of insulin resistance established in the majority of type 2 DM (T2DM) patients. T2DM is associated with β-cell deficiency, α-cell resistance to insulin, and reduced effects of incretin. However, the role of insulin and glucagon in the process of cardiovascular complications in diabetic patients is a matter of debate. AIM: Our study aims to estimate insulin resistance and the contrainsular response in patients with T2DM and acute coronary syndrome (ACS). METHODS: The 104 T2DM patients aged 18–70 years participated in the observational study carried out in the Karaganda regional cardiosurgery hospital and ambulatory. The first group included 37 patients hospitalized for ACS in the first 24 h of admission. The second group included 67 patients without ACS. Determination of insulin resistance and contrainsular response was provided using a multiplex immunological assay with XMap technology on Bioplex 3D. RESULTS: During the research, we have discovered a decreased level of glucagon and increased homeostasis model assessment of insulin resistance (HOMA-IR) in patients with T2DM diabetes and ACS. Evaluation of traditional correlation interactions of HOMA-IR and indicators of carbohydrate metabolism showed a positive correlation with fasting plasma glucose in both study groups (Group 1: R = 0.47, p = 0.003; Group 2: R = 0.41, p = 0.024). Glucagon-like peptide (GLP)-1 has a weak positive correlation with HOMA-IR only in the first group (R = 0.32, p = 0.006). Increased insulin resistance was associated with high GLP-1 levels and low glucagon. The logistic regression model established that an increased HOMA-IR index rises the chance of ACS by 10.6% (OR = 1.106 [95% CI 1.105–1.206], p = 0,021). The logistic regression model, reflecting the relation between glucagon and ACS, shows that increased glucagon reduces the ACS odds (OR = 0.989 [95% CI 0.979–0.999], p = 0.026). The adjusted regression model showed no significant influence of early presented factors on the probability of ACS. CONCLUSION: There is a trend toward elevated HOMA-IR insulin resistance index and decreased level of glucagon in diabetic patients with ACS.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Rebuma Belete ◽  
Zerihun Ataro ◽  
Ahmedmenewer Abdu ◽  
Merga Sheleme

Abstract Background The presence of metabolic syndrome among diabetes patients is frequent and is associated with an increased incidence of chronic complications and mortality. Despite several studies have been conducted, there is no overall estimation on the prevalence of metabolic syndrome among type 1 diabetic patients. Therefore, this study aimed to estimate the pooled prevalence of metabolic syndrome among patients with type 1 diabetes mellitus. Methods Medline via PubMed, CINAHL, ScienceDirect, Ovid, Google Scholar, ResearchGate and African Journals Online were searched by limiting publication period from January 2005 to October 2020. Data were extracted with a standardized format prepared in Microsoft Excel and exported to Stata 16.0 for analyses. The I2 statistic was used to check heterogeneity across the included studies. DerSimonian and Laird random-effects model was applied to estimate pooled prevalence and 95% confidence interval across studies. Funnel plot symmetry, Begg’s test and Egger’s regression test were used to determine the presence of publication bias. Subgroup and sensitivity analysis as well as meta-regression were conducted to explore the potential sources of heterogeneity. The study protocol is registered on PROSPERO with reference number: CRD42020213435. Results In this meta-analysis, a total of 27 studies with 45,811 study participants were included. The pooled prevalence of metabolic syndrome was 23.7% with substantial heterogeneity (I2 = 98.2%; P < 0.001). Geographical-based subgroup analysis revealed that the highest prevalence was observed in Australia (27.3%). As per meta-analysis of 17 studies, the pooled prevalence of metabolic syndrome in female type 1 diabetes patients (25.9%) was slightly higher than male T1DM patients (22.5%). Conclusion Nearly a quarter of the type 1 diabetes mellitus patients were affected by metabolic syndrome. Therefore, more attention should be paid to the prevention and control of the epidemic and for the reduction of the morbidity and mortality associated with metabolic syndrome among type 1 diabetes mellitus patients.


2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Mihaela Vladu ◽  
Diana Clenciu ◽  
Ion Cristian Efrem ◽  
Mircea-Cătalin Forțofoiu ◽  
Anca Amzolini ◽  
...  

Background and Aims. Diabetes mellitus (DM) is a chronic disease which can evolve towards devastating micro- and macrovascular complications. DM is the most frequent cause of chronic kidney disease (CKD). Insulin resistance plays an important role in the natural history of type 1 diabetes. The purpose of the study was to determine the prevalence of CKD in T1DM and the correlation with insulin resistance (IR) in patients with CKD.Materials and Methods. The study was conducted over a period of three years (2010–2013) and included patients with DM registered in the Clinical Centre of Diabetes, Nutrition and Metabolic Diseases of Dolj county. The study design was an epidemiological, transversal, noninterventional type. Finally, the study group included 200 subjects with type 1 DM. Insulin resistance (IR) was estimated by eGDR. The subjects with eGDR ≤ 7.5 mg/kg/min were considered with insulin resistance.Results. CKD was found in 44% of the patients. Analyzing statistically the presence of CKD, we found highly significant differences between patients with CKD and those without CKD regarding age and sex of the patients, the duration of diabetes, glycosylated hemoglobin (HbA1c), the estimated glucose disposal rate (eGDR), and the presence of hypertension, dyslipidemia, and hyperuricaemia. In patients with CKD, age and diabetes duration are significantly higher than in those who do not have this complication. CKD is more frequent in males than in females (50.9% men versus 34.5% women,p=0.022). From the elements of metabolic syndrome, high blood pressure, hyperuricemia, and dyslipidemia are significantly increased in diabetic patients with CKD. eGDR value (expressed as mg·kg−1·min−1) is lower in patients with CKD than in those without CKD (15.92 versus 6.42,p<0.001) indicating the fact that patients with CKD show higher insulin resistance than those without CKD.Conclusions.This study has shown that insulin resistance is associated with an increased risk of CKD, but, due to the cross-sectional design, the causal relationship cannot be assessed. However, the existence of this causality and the treatment benefit of insulin resistance in type 1 diabetes are issues for further discussion.


Author(s):  
Shah Namrata Vinubhai ◽  
Pardeep Agarwal ◽  
Bushra Fiza ◽  
Ramkishan Jat

Background: Serum ferritin is known as an index for body iron stores also as an inflammatory marker and it is influenced by several disease. We were looking for a correlation between HbA1c and S. Ferritin in type 2 DM. Methodology: The present study a total of 150 participants were enrolled of which 100 were confirmed cases of Type 2 Diabetes Mellitus and rest 50 age and sex matched healthy subjects constituted the control group. All were screened for HbA1c, Fasting blood sugar, Post prandial blood sugar and S.Ferritin. Results: A highly significant variation and positive correlation was observed with respect to S.Ferritin and HbA1c levels. Mean S.Ferritin was high in the subgroup with poor glycemic control. Conclusion: The fasting, post prandial sugar levels, HbA1c and S.Ferritin were significantly higher in the diabetic subjects. This study shows a positive correlation between HbA1c and S. Ferritin levels. So we can conclude that in diabetic patients S. Ferritin may serve as an independent marker of poor glycemic and metabolic control. Keywords: Serum ferritin, Type 2 Diabetes Mellitus, HbA1c.


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1674-P
Author(s):  
DAIZHI YANG ◽  
XUEYING WEI ◽  
CHAOFAN WANG ◽  
XUEYING ZHENG ◽  
SIHUI LUO ◽  
...  

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