Level of serum IL-12 and its correlation with endothelial dysfunction, insulin resistance, proinflammatory cytokines and lipid profile in newly diagnosed type 2 diabetes

2011 ◽  
Vol 94 (2) ◽  
pp. 255-261 ◽  
Author(s):  
Manish Mishra ◽  
Hemant Kumar ◽  
Surabhi Bajpai ◽  
Rakesh K. Singh ◽  
Kamlakar Tripathi
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Endothelial Dysfunction ◽  
Lipid Profile ◽  
Proinflammatory Cytokines ◽  
Newly Diagnosed

scholarly journals Value of simple clinical parameters to predict insulin resistance among newly diagnosed patients with type 2 diabetes in limited resource settings

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248469
Author(s):  
Keddagoda Gamage Piyumi Wasana ◽  
Anoja Priyadarshani Attanayake ◽  
Thilak Priyantha Weerarathna ◽  
Kamani Ayoma Perera Wijewardana Jayatilaka
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Sri Lanka ◽  
Lipid Profile ◽  
Limited Resource ◽  
Small Sample ◽  
Clinical Parameters ◽  
Fasting Insulin ◽  
Newly Diagnosed

Background Insulin resistance (IR) has been considered as a therapeutic target in the management of type 2 diabetes mellitus (T2DM). Readily available, simple and low cost measures to identify individuals with IR is of utmost importance for clinicians to plan optimal management strategies. Research on the associations between surrogate markers of IR and routine clinical and lipid parameters have not been carried out in Sri Lanka, a developing country with rising burden of T2DM with inadequate resources. Therefore, we aimed to study the utility of readily available clinical parameters such as age, body mass index (BMI), waist circumference (WC) and triglyceride to high density lipoprotein cholesterol ratio (TG/HDL-C) in the fasting lipid profile in predicting IR in a cohort of patients with newly diagnosed T2DM in Sri Lanka. Methods and findings We conducted a community based cross sectional study involving of 147 patients (age 30–60 years) with newly diagnosed T2DM in a suburban locality in Galle district, Sri Lanka. Data on age, BMI, WC, fasting plasma glucose (FPG) concentration, fasting insulin concentration and serum lipid profile were collected from each subject. The indirect IR indices namely homeostasis model assessment (HOMA), quantitative insulin sensitivity check index (QUICKI) and McAuley index (MCA) were estimated. Both clinical and biochemical parameters across the lowest and the highest fasting insulin quartiles were compared using independent sample t-test. Linear correlation analysis was performed to assess the correlation between selected clinical parameters and indirect IR indices. The area under the receiver operating characteristic (ROC) curve was obtained to calculate optimal cut-off values for the clinical markers to differentiate IR. BMI (p<0.001) and WC (p = 0.01) were significantly increased whereas age (p = 0.06) was decreased and TG/HDL-C (p = 0.28) was increased across the insulin quartiles. BMI and WC were significantly correlated (p<0.05) with HOMA, QUICKI and MCA. Out of the clinical parameters, age showed a borderline significant correlation with QUICKI and TG/HDL-C showed a significant correlation only with MCA. The area under ROC of BMI was 0.728 (95% CI 0.648–0.809; p<0.001) and for WC, it was 0.646 (95% CI 0.559–0.734; p = 0.003). The optimized cut-off value for BMI and WC were 24.91 kg/m2 and 81.5 cm respectively to differentiate the patients with IR or ID. Study limitations include small sample size due to recruitment of patients only from a limited geographical locality of the country and not totally excluding of the possibility of inclusion of some patients with slowly progressive type 1 DM or Latent onset diabetes of adulthood from the study population. Conclusions The results revealed that there was a significant positive correlation between BMI, WC and HOMA while a significant negative correlation with QUICKI and MCA among the cohort of patients with newly diagnosed T2DM. The cut-off values of BMI and WC as 24.91 kg/m2 and 81.5 cm respectively could be used as simple clinical parameters to identify IR in newly diagnosed patients with T2DM. Our results could be beneficial in rational decision making in the management of newly diagnosed patients with T2DM in limited resource settings.

Lipid profile of patients newly diagnosed with type 2 diabetes in Albania

2013 ◽  
Author(s):  
Florian Toti ◽  
Aldi Shehu ◽  
Kliti Hoti ◽  
Manjola Carcani ◽  
Adriana Lapardhaja ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Lipid Profile ◽  
Newly Diagnosed

scholarly journals Correlation Between Lipid Profile with Type 2 Diabetes Mellitus Progression

2020 ◽  
Vol 8 (2) ◽  
pp. 66-72
Author(s):  
Angiesta Pinakesty ◽  
Restu Noor Azizah
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Lipid Profile ◽  
Cholesterol Levels ◽  
Type 2 Dm ◽  
Hba1c Levels

Introduction: Diabetes mellitus (DM) is a non-communicable disease that has increased from year to year. Type 2 diabetes mellitus is not caused by lack of insulin secretion, but is caused by the failure of the body's cells to respond to the hormone insulin (insulin resistance). Insulin resistance was found to be a major contributor to atherogenic dyslipidemia. Dyslipidemia in DM risks 2 to 4 times higher than non-DM. Although dyslipidemia has a great risk for people with type 2 diabetes mellitus, this conventional risk factor only explains a portion (25%) of excess cardiovascular risk in type 2 DM. Discussion: In uncontrolled type 2 DM patients, LDL oxidation occurs faster which results from an increase in chronic blood glucose levels. Glycemic control as a determinant of DM progressivity is determined through HbA1c examination. HbA1c levels are associated with blood triglyceride levels. Meanwhile, triglyceride levels are associated with total cholesterol and HDL cholesterol levels. HbA1c levels are also associated with LDL cholesterol levels. Conclusion: There is a relationship between lipid profile and the progression of type 2 diabetes mellitus.   Keywords: type 2 diabetes mellitus, dyslipidemia, HbA1c, glycemic control, lipid profile

scholarly journals Effect of Arterial Hypertension on the ICAM-1, VCAM-1 and Е-selectin Level in Type 2 Diabetes Patients

2021 ◽  
pp. 43-47
Author(s):  
Liliia Mogylnytska
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Endothelial Dysfunction ◽  
Serum Level ◽  
Control Group ◽  
Regression Equations ◽  
Multifactor Regression ◽  
Diabetes Patients

Cardiovascular disease is the leading cause of death in diabetes mellitus. Endothelial dysfunction is the first step in the development of atherosclerotic vascular lesions, which underlies cardiovascular pathology, and adhesion molecules secreted by the endothelium during inflammatory changes are involved in the progression of this lesion. The objective: the serum level of adhesive molecules (ІCAM-1, VCAM-1, Е-selectin) in hypertensive and non-hypertensive type 2 diabetes patients as a marker of endothelial dysfunction and its relationship with other risk factors for cardiovascular disease was studied. Materials and methods. We examined 64 patients with type 2 diabetes, which were divided into two subgroups: the first subgroup – 41 hypertensive type 2 diabetes patients (age – 53,56±7,14 years, BMI – 32,2±87,4; HbA1c – 9,97±2,02%), the second subgroup – 23 nonhypertensive type 2 diabetes patients (age – 50,5±4,92 years, BMI – 25,4±5,22; HbA1c – 9,09±1,95%). The control group included 18 people without diabetes with normal blood pressure (age – 50,72±6,98 years, BMI – 24,71±4,88; HbA1c – 5,26±0,42%). The serum level was determined by immunoenzyme assay. The significance of the difference between the mean values was determined by the t-Student test. Multifactor regression analysis was used to assess the relationships between the studied factors. Results. We revealed an increase of serum levels of ІCAM-1, VCAM-1, Е-selectin in hypertensive (+71,62%, +68,42%, +66,95%, respectively) and non-hypertensive type 2 diabetes patients (+46,17%, +62,79%, +42,85%, respectively) compared with the control group (p<0,01). The serum concentration of ІCAM-1, Е-selectin was higher in hypertensive type 2 diabetes patients compared to non-hypertensive type 2 diabetes patients (+17,27%, +16,86%, respectively, p<0,01). There was a significant effect of Hb1Ac, lipids, insulin resistance on the serum level of ІCAM-1, VCAM-1, Е-selectin (p<0,01). The corresponding regression equations are derived. Conclusion. There is an increase of serum level of ІCAM-1, VCAM-1, Е-selectin in hypertensive and non-hypertensive type 2 diabetes patients, which indicates the development of endothelial dysfunction. Hypertension, hyperglycemia, dyslipidemia and insulin resistance contribute to the development of these changes.

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