Impact of corpulence parameters and haemoglobin A1c on metabolic control in type 2 diabetic patients: comparison of apolipoprotein B/A-I ratio with fasting and postprandial conventional lipid ratios

Diaf, Mustapha; Khaled, Meghit Boumédiène; Sellam, Feriel

doi:10.3402/ljm.v10.27400

Cited by 11 publications

(10 citation statements)

References 47 publications

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“…The interrelationship between glycemic control, renal function, lipid profile is proven by the existence of a statistically significant direct correlation between HbA1c and apo-B (r=0.188, p=0.040) and a positive statistically significant correlation (r=0.186; p=0.042) between HbA1c and Cystatin C, therefore we can consider apo-B and Cystatin C as indirect biomarkers of glycemic control, no other statistically significant association between HbA1c and other analyzed biomarkers being observed. The results are consistent with data from the medical literature, mentioning a recent study published in 2015 [8], in which the researchers examined in a type 2 diabetes population, the link between multiple glycemic control parameters including HbA1c and lipid profile biomarkers including apo-B. The results showed a strong association between circulating levels of HbA1c and apo-B.…”

Section: Discussionsupporting

confidence: 89%

Cardiovascular Risk Prediction in Type 2 Diabetes Patients

2016

Med. Con.

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Background and aims:In the study group for cardiac risk stratification purposes to apply a prediction tool based on traditional risk factors, the SCORE model. To evaluate the clinical utility of individually assessed biomarkers (nonconventional risk factors), subsequently designing an improved prediction assessment tool, by adding the biomarkers into the SCORE risk equation. Material and methods:The inclusion of the subjects and the study visits were performed in between January 2012-January 2015. A number of 120 subjects with a diagnosis of T2DM, registered at the Diabetes Centre in Bihor County, fulfilled all the inclusion criteria and completed all the study procedures. The following laboratory tests have been performed: Hba1c testing using Clover A1c Test Cartridge device, hematology panel, lipid profile, standard chemistry panel, special chemistry panel, urine analysis. For CV risk assessment Heart Score risk calculator using 5 conventional cardiovascular disease risk factors was applied: age, gender, total cholesterol, systolic blood pressure, smoking status.Results: A significant positive correlation was identified in between the SCORE risk results and the HDLc values (r=-0.269; p<0.001), a positive significant correlation with albumin/creatinin ratio values (r=0.197; p=0.031) and a positive significant correlation was identified with the HbA1c values (r=0.367; p<0.001). The SCORE risk prediction model results were significantly altered by adding in the equation apo-B and HDLc values, regarding the apo-B values an increase of one single standard deviation caused the increase of the SCORE CV risk results with 0.19 standard deviations. Referring to the HDLc values an increase of one single standard deviation decreased the SCORE CV risk results with 0.26 standard deviations.Conclusions: By adding the lipoprotein associated biomarkers into the equation the prediction accuracy was improved, but clinical data regarding renal function and diabetes glycemic status need to be assessed because of the influence on the risk of cardiovascular disease.

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Section: Discussionsupporting

confidence: 89%

Cardiovascular Risk Prediction in Type 2 Diabetes Patients

2016

Med. Con.

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“…2 Recently, lipoproteins and apolipoproteins (apo) ratios have also been found as consistent predictors of atherogenic risk than lipids alone. 3 Therefore, the mosaic of modifiable CVD risk issues imply some physiological factors which include the untreated hypertension and high toal cholesterol level, as well as the increased prevalence of sedentary, the overall and/or abdominal obesity and insulin-resistant, these latter may also vary according to ethnicity, age and gender.…”

Section: Introductionmentioning

confidence: 99%

“…12,13,16,17 The apolipoproteins are slightly influenced by meals and biological variables, unlike the ordinary lipid parameters, which fluctuate widely depending on food intake. 3 Therefore, measurement of apolipoproteins does not require fasting blood samples, which represent a main advantage.…”

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confidence: 99%

Factors influencing atherogenic indices in type 2 diabetic women in northwestern Algeria

Diaf

Khaled

2016

Int J Sci Rep

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Background: Type 2 diabetic women are at higher risk of developing atherogenic dyslipidemia. The major possible risk factors are obesity, abdominal fat accumulation and poor glycaemic control. However, menopause-related changes could be another determinant. The aim of this study was to evaluate the interrelationships of these risk factors and their independent effects on atherogenic indices in type 2 diabetes women.Methods: A prospective, cross-sectional study, which includes 160 women agreed to participate in this study. Anthropometrics, biochemical parameters and blood pressure were measured. Atherogenic indices - total cholesterol-to-high-density lipoprotein cholesterol ratio (TC/HDL) and apolipoprotein (apo) B-to-apo A1 ratio, were calculated. Individual risk factors were examined in relationship to these atherogenic indices using correlation tests and logistic regression. Results: 23.12% of the participants were normal weight and 76.87% were overweight/obese. The overall mean age was 57.70±11.16 years. Diabetes duration (˃5years), anthropometric parameters, poor glycaemic control, high apo B and high level of low-density lipoprotein (LDL) were found to be significant determinants of atherogenic indices changes. The TC/HDL ratio was weakly associated with both BMI and waist circumference. However, the apo B/apo A1 ratio provided positive correlations with anthropometric parameters, especially with waist circumference (p=0.185, r=0.108, r2=0.012), and this, in both pre and post-menopausal type 2 diabetic women.Conclusions: The atherogenic risk, estimated by TC/HDL and apo B/apo A1 ratios, becomes more severe with higher anthropometric parameters (BMI and waist circumference), diabetes duration and poor glycaemic control in type 2 diabetes women and this during both premenopausal and postmenopausal periods.

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“…Though, serum cholesterol and especially LDL levels are frequently used as biochemical markers to predict the onset of the atherogenic disease. Currently, these conventional markers are being replaced by lipid-related ratios such as TC/HDL, TG/HDL, and apolipoprotein ratio essentially represented by Apo B/Apo A1 [ 14 , 19 – 22 ].…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, our results revealed an increase in TC/HDL and Apo B/Apo A1 ratios in diabetic patients comparing to non-diabetic ones. Numerous studies showed the relationship between altered lipid profiles and T2D, and it was further shown that the dyslipidaemia predisposes the diabetic patients to cardiovascular complications, especially atherosclerosis and coronary heart disease [ 14 , 22 , 27 – 30 ].…”

Section: Discussionmentioning

confidence: 99%

Associations Between Dietary Antioxidant Intake and Markers of Atherosclerosis in Middle–Aged Women From North-Western Algeria

Diaf

Khaled

2018

Front. Nutr.

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Background: The role of several dietary antioxidants in preventing the development and the progression of atherosclerosis has recently aroused considerable interest. Although they are not yet conclusive, most of the existing suggestions support this hypothesis.Objective: The aim of the present work was to investigate the intake of dietary antioxidant nutrients in relation to atherogenic indices in a group of Algerian middle aged women with and without type 2 diabetes.Methods: A cross-sectional study was conducted on a group of middle-aged women from the north western region of Algeria. Anthropometric and biochemical parameters were measured. Dietary intake was assessed using a validated 3-days food record. Atherogenic indices -total cholesterol-to-high-density lipoprotein cholesterol ratio (TC/HDL) and apolipoprotein (apo) B-to-apo A1 ratio, were calculated. Associations between antioxidants dietary intake and atherogenic indices were examined using logistic regressions.Results: 95 women with type 2 diabetes were compared to 93 non-diabetic ones. Statistical differences (p < 0.05) were revealed for body weight, height, body mass index (BMI), glycosylated hemoglobin (HbA1c) and total cholesterol levels. Furthermore, significant differences were noted for vitamin C, E and copper dietary intakes. The TC/HDL ratio was significantly associated to the highest quartiles of vitamin C in all patients; 3.519[2.405–4.408], p = 0.009 and in non-diabetic women; 3.984[1.775–7.412], p = 0.020, respectively. The odd ratios of vitamin E intakes were about 2.425[2.017–5.715], p = 0.012 in all patients and 1.843[1.877–2.731], p = 0.019 in non-diabetic group, respectively. However, the Apo B/Apo A1 ratio was more correlated to the highest quartiles of zinc and copper in non-diabetic group; OR = 0.059[0.006–0.572], p = 0.015 and 0.192[0.048–0.766], p = 0.019, respectively.Conclusion: The estimated risk of atherosclerosis measured through the TC/HDL ratio was correlated to vitamins antioxidant intake, while the probable risk assessed by the Apo B/Apo A1 ratio was more associated to the mineral profile.

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Impact of corpulence parameters and haemoglobin A1c on metabolic control in type 2 diabetic patients: comparison of apolipoprotein B/A-I ratio with fasting and postprandial conventional lipid ratios

Cited by 11 publications

References 47 publications

Cardiovascular Risk Prediction in Type 2 Diabetes Patients

Cardiovascular Risk Prediction in Type 2 Diabetes Patients

Factors influencing atherogenic indices in type 2 diabetic women in northwestern Algeria

Associations Between Dietary Antioxidant Intake and Markers of Atherosclerosis in Middle–Aged Women From North-Western Algeria

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