scholarly journals Apolipoprotein B Is Related to Metabolic Syndrome Independently of Low Density Lipoprotein Cholesterol in Patients with Type 2 Diabetes

2015 ◽  
Vol 30 (2) ◽  
pp. 208 ◽  
Author(s):  
Younghyup Lim ◽  
Soyeon Yoo ◽  
Sang Ah Lee ◽  
Sang Ouk Chin ◽  
Dahee Heo ◽  
...  
2020 ◽  
pp. 263246362097804
Author(s):  
Rejitha Jagesh ◽  
Mathew John ◽  
Manju Manoharan Nair Jalaja ◽  
Tittu Oommen ◽  
Deepa Gopinath

Objectives: The accurate and precise measurement of low-density lipoprotein-cholesterol (LDL-C) is important in the assessment of atherosclerotic cardiovascular disease risk (ASCVD) in people with diabetes mellitus. This study aimed at comparing directly measured LDL-C with Friedewald formula (FF)-calculated LDL-C (c-LDL-C) in people with type-2 diabetes. Methods: Fasting lipid profiles of 1905 people with type-2 diabetes, whose LDL-C was estimated by direct LDL assay, were chosen for the study. In the same group, LDL-C was calculated with FF. Correlation and agreement between these methods were analyzed at various strata of triglycerides (TGs). The possibility of misclassifying people at various levels of LDL-C targets proposed in literature was calculated. Results: The mean LDL-C levels were lower in the c-LDL-C group across various TG strata. A significant correlation was found between c-LDL-C and direct LDL-C for all the study samples ( r = 0.948, P < .001) and across all TG strata. Analysis of agreement showed a positive bias for direct LDL-C which increased at higher strata of TGs. c-LDL-C underestimated ASCVD by misclassifying people at various LDL-C target levels. Conclusion: There is a difference between direct LDL-C and c-LDL-C values in people with diabetes and this may result in misclassifying ASCVD especially at lower levels of LDL-C and higher levels of TGs.


2018 ◽  
Vol 26 (2) ◽  
pp. 140-147
Author(s):  
Nahid Yeasmin ◽  
Qazi Shamima Akhter ◽  
Sayeeda Mahmuda ◽  
Sultana Yeasmin ◽  
Rumana Afroz ◽  
...  

Background: Diabetes mellitus is one of the most widespread endocrine disorders in female and its complications are increasing all over the world, leading to life threatening medical problems like cardiovascular diseases, stroke and end stage renal diseases. A correlation between hyperlipidemia and type 2 diabetes mellitus has been identified. The study was carried out to observe the correlation of serum low density lipoprotein cholesterol (LDL-C) and high density lipoprotein cholesterol (HDL-C) level with type 2 diabetes mellitus in adult female subjects.Method: This cross sectional study was conducted in the Department of Physiology, Dhaka Medical College, Dhaka, during the period of January 2011 to December 2011. Total sixty female subjects were selected with age ranging from 30 to 50 years. Among them 30 female subjects with diabetes mellitus were included from out-patient department of Endocrinology, Dhaka Medical College Hospital, Dhaka as study group (B) and 30 apparently healthy females were taken as control group (A) for comparison. Estimation of serum fasting serum LDL-C and HDL-C levels was done by enzymatic method in the department of Physiology, Dhaka Medical College Dhaka in both groups. Fasting serum insulin level was measured by ELISA method in the laboratory of National Institute of ENT, Dhaka and fasting blood glucose was estimated by glucose oxidase method in the department of Physiology, Dhaka Medical College in both groups. Data were analyzed by Unpaired Student’s- test and Pearson’s correlation co-efficient (r) test as applicable.Results: The value of fasting serum LDL-C level was significantly higher in study subjects than those of control. Again, fasting serum HDL-C level was significantly lower in study subjects in comparison to controls. In study subjects fasting serum LDL showed positive correlation and fasting serum HDL-C levels showed negative correlation with fasting blood glucose and serum insulin level.Conclusion: Present study reveals that serum insulin and blood glucose level have positive relationship with low density lipoprotein cholesterol (LDL-C) and negative relationship with high density lipoprotein cholesterol (HDL-C) levels.J Dhaka Medical College, Vol. 26, No.2, October, 2017, Page 140-147


Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Seth S Martin ◽  
Atif N Qasim ◽  
Daniel J Rader ◽  
Muredach P Reilly

Introduction: Accumulating evidence suggests that apolipoprotein B (apoB) is superior to low-density lipoprotein cholesterol (LDL-C) in prediction of cardiovascular events. Yet, an important outstanding question is whether apoB, relative to LDL, is an enhanced marker for subclinical atherosclerosis, particularly in diabetics where LDL levels may underestimate atherogenic lipid burden due to increased proportion of small, dense LDL. Hypothesis: We hypothesized that plasma apoB would be a better predictor than LDL-C of coronary artery calcification (CAC) scores in type 2 diabetics and non-type 2 diabetics. Methods: We performed cross-sectional analyses of asymptomatic Caucasians in (1) The Study of Inherited Risk of Coronary Atherosclerosis (434 men and 383 women; median age 48, non-diabetics) and (2) The Penn Diabetes Heart Study (580 men and 261 women; median age 60, type 2 diabetics). Results: Levels of apoB and LDL-C were correlated in diabetics (r=0.78, p<0.001) and non-diabetics (r=0.77, p<0.001). There was no association between LDL-C and CAC in diabetics. In non-diabetics, an association of LDL-C was lost after adjustment for total cholesterol. In contrast, after controlling for age, gender, statin therapy, and total cholesterol, levels of apoB were positively associated with CAC in diabetics [tobit regression ratio for 30 mg/dl increase in apoB 2.94 (95% CI 1.62 – 5.53), p=0.001) and had a more modest association with CAC in non-diabetics [1.67 (95% CI 1.16 – 2.32), p=0.005]. Conclusions: ApoB, but not LDL-C, predicted CAC scores, a measure of coronary atherosclerotic burden. The strength of this association was greater in diabetics than non-diabetics. Relative to LDL-C, plasma apoB levels may be particularly useful in assessing CVD risk in type 2 diabetes.


2014 ◽  
Vol 11 (6) ◽  
pp. 431-439 ◽  
Author(s):  
Ester Yeoh Chai Kheng ◽  
Sum Chee Fang ◽  
Su Chang ◽  
Serena Low Kiat Mun ◽  
Lim Su Chi ◽  
...  

Low-density lipoprotein cholesterol (LDL-C) is a major risk factor for atherosclerotic disease. Despite its limitations, Friedewald-calculated LDL-C (F-LDL-C) remains widely used for LDL-C determination. In this observational study of 1999 adults with type 2 diabetes mellitus (T2DM), we compare the accuracy of F-LDL-C to directly measured LDL-C (M-LDL-C) and derived and validated a new [SMART2D (Singapore Study of MAcro-angiopathy and Micro-Vascular Reactivity in Type 2 Diabetes)] formula to estimate LDL-C. From 1000 randomly selected patients, M-LDL-C was compared to F-LDL-C. Using multiple linear regression to identify independent predictors for M-LDL-C, the SMART2D equation was derived and subsequently validated in the next 981 patients. F-LDL-C was 0.367 (0.216) mmol/L lower than M-LDL-C. This difference was −0.009 (0.189) for SMART2D-LDL-C. Using F-LDL-C, 27% with M-LDL-C ≥2.6 mmol/L were classified as LDL-C <2.6 mmol/L, reduced to 2.1% when using SMART2D-LDL-C. With F-LDL-C, misclassification was greater when triglycerides were ≥2.2 mmol/L, especially for the lower LDL-C cut-offs (1.8 and 2.6 mmol/L), and this was markedly improved with SMART2D-LDL-C. In conclusion, in T2DM, F-LDL-C underestimates M-LDL-C, with misclassifications that may potentially have an impact on therapeutic decisions in T2DM. The SMART2D equation improves accuracy of estimate, reducing misclassifications. Trials will be needed to ascertain the clinical significance of these findings.


Sign in / Sign up

Export Citation Format

Share Document