Imbalance of Plasma Copper and Zinc Levels and the Association Between the Cu/Zn Ratio and Lipid Peroxidation in Algerian Bipolar Patients.

Trace elements, through their interaction with biomolecules, can play an important role in the pathophysiology of bipolar disorder and protect against oxidative stress effects. The purpose of this study is to examine plasma concentration levels of zinc (Zn) and copper (Cu) of Algerian patients, diagnosed with bipolar disorder, and to compare these levels with those of healthy controls. The Cu/Zn ratio was calculated to explore a possible correlation between these elements and lipid peroxidation in the study groups. A total of 33 patients diagnosed with bipolar disorder and 38 healthy subjects participated in this study. Plasma copper and zinc concentrations were measured using a polarographic analyzer. The marker of plasma lipid peroxidation (Malondialdehyde: MDA) was determined by UV spectrophotometry. Plasma Cu concentrations were higher in patients compared to controls (p < 0.05), while the Zn level was significantly lower. Consequently, the Cu/Zn ratio was significantly different between patients and controls. Regarding MDA, no significant difference was noticed between the two study groups. However, in patients, a negative correlation was found between MDA and Cu/Zn ratio (r= -0.38, p= 0.027). These results suggested that an elevated Cu/Zn ratio is associated with attenuated lipid peroxidation in our bipolar patients.

Molecular mimicry between varicella, measles virus and Hsp60 in type 1 diabetes associated HLA-DR3/DR4 molecules.

BACKGROUND AND AIMS: Type 1 diabetes (T1D) is a multifactorial autoimmune disease that combines genetics and environmental factors. The aim of this study is to determine the environmental risk factors and to investigate how virals infections are risks factors for type 1 diabetics whom have HLA DR3/DR4 predisposition in our population. METHODS: This study includes 233 subjects, 145 diabetics and 88 controls from regions of the extreme western of Algeria. All the informations related to the disease were collected using predesigned questionnaire. Using in silico approach, we attempt to improve the understanding of this analytical result by molecular mimicry, which is associated with the breakdown of several autoimmune pathologies. RESULTS: The statistical study showed that history of varicella and measles infection and T1D related inheritance and type 2 diabetes are risk factors for T1D in the population of Tlemcen. We have determined the homologous antigenic regions between the glycoprotein "gE" of the varicella virus, the "hemagglutinin" of measles and the human protein "HSP60" at the level of their sequence and 3D structure. These cross-reactive epitopes bind to MHC class II molecules (HLA DR3/DR4) that predispose to T1D but not to MHC class II molecules (HLA DR2) that protect against T1D. This epitopes induce Th2 cells but only "hemagglutinin" and "Hsp60" can activate Th1 differentiation. This indicates their potential to destroy pancreatic cells ß. CONCLUSION: Our study can allow us to adapt biological markers to genetically predisposed T1D and to establish a preventive strategy for healthy genetic predisposed individuals in Tlemcen population.

Dietary intake of magnesium in a type 1 diabetic pediatric population.

Several studies suggest the importance of adequate magnesium intake in the prevention of diabetes and/or its complications. The main objective of this study is to determine the daily dietary intake of magnesium in type 1 Algerian pediatric diabetics. The study involved a pediatric population of 201 individuals aged from 3 to 17 years, including 96 type 1 diabetics and 105 controls. The daily dietary intake of magnesium was determined by the 24-hour recall. The correlation between the intake of magnesium and glycemic control has been assessed in diabetics. The odds ratio was used to study the relationship between dietary magnesium intake and diabetes through multinomial logistic regression. The results indicate that there are 84% of diabetics with low magnesium intake compared to 61% of controls (P = 0.001). A negative but no significant correlation was found between magnesium intake, glycemia, and HbA1c. The multinomial logistic regression model showed that daily dietary magnesium intakes, lower than EFSA adequate intake, are associated with an OR of 5.50 (1.92-15.74; P = 0.002) in adjusted model for age, sex, and BMI. It is necessary to correct the low dietary intake of magnesium by changing the eating habits of the pediatric populations in western Algeria and more particularly type 1 diabetics.

Non-HDL cholesterol predictive factor of type 2 diabetes in the city of Tlemcen.

BACKGROUND: type 2 diabetes mellitus (T2DM) is associated with disorders of lipoprotein metabolism mixed dyslipidemia. The purpose of this study is to verify whether non high density lipoprotein cholesterol (non-HDL-C) can contribute to the development of T2DM in a population in the extreme western Algeria. METHODS: The study was conducted in Tlemcen region on a sample of 1852 subjects,1059 with T2DM and 793 controls, these were evaluated for biochemical parameters, measured using standard enzyme procedures (SFBC or IFCC recommendations) on the Beckman CX7® PLC (Beckman-Coulter®, NY, USA). All the information related to the disease were collected from the patients and recorded using predesigned questionnaire. RESULTS: The logistic model retained, the two levels of non-HDL-C: 130 mg/dl < non-HDL-C≤160 mg/dl (OR = 0,69; 95% CI = 0,49-0,97, P = 0,033) and non-HDL-C>190 mg/dl (OR = 2,22; 95% CI = 1,31-3,76, P = 0,003), inbreeding (OR = 1,71; 95% CI = 1,44-2,04, P = 0,000) and the two age groups 60-70 years (OR = 2,14; 95% CI = 1,47-3,1, P ≪ 0,001) and 70 years and over (OR = 2,26; 95% CI = 1,51-3,38, P ≪ 0,001). CONCLUSIONS: The logistic model shows that non-HDL-C contributes to the development of type 2 diabetes in our population.

Predictive value of non-HDL cholesterol for cardiovascular disease in a population in far western Algeria with type 2 diabetes.

BACKGROUND: Non high density lipoprotein cholesterol (non-HDL-C) is a risk factor for cardiovascular disease (CVD) in people with type 2 diabetes. The aim of our study is to estimate the relative multivariate risk of non-HDL-C in the occurrence of CVD in a population in the extreme western Algeria with type 2 diabetes mellitus (T2DM). METHODS: Our study was carried out in western Algeria on a population of 1111 subjects, 371 cardiopaths with T2DM and 740 controls. The biochemical balance was established using standard enzymatic procedures (SFBC or IFCC recommendations) on the Beckman CX7® PLC (Beckman-Coulter®, NY, USA). Information on the pathologies was collected by means of a questionnaire. RESULTS: The logistic model retained the two levels of non-HDL-C: 130 mg/dl < non-HDL-C≤160 mg/dl (OR = 0.11; 95% CI = 0.03-0,47, P = 0.003) and 160 mg/dl < non-HDL-C≤190 mg/dl (OR = 5.02; 95% CI = 1.1-22.87, P = 0.037) and smoking (OR = 19.27; 95% CI = 3.39-109.63, P = 0.001), inbreeding (OR = 3.65; 95% CI = 1.12-11,85, P = 0.031) and the two age groups 60-70 years (OR = 2.36; 95% CI = 1.32-4.2, P<<0.01) and 70 years and over (OR = 2.26; 95% CI = 1.19-4.29, P<<0.05). CONCLUSIONS: Non-HDL-C is a powerful risk factor for the occurrence of cardiovascular disease in type 2 diabetics in the extreme western Algeria.

Hematological profile associated with type 2 diabetes mellitus.

BACKGROUND: Hematological changes affecting blood cells and the coagulation factors are shown to be associated with diabetes mellitus. We investigated some of the hematological risk factors implicated in the development of type 2 diabetes mellitus. METHODS: The study conducted in western Algeria on a sample of 1852 subjects, 1059 with type 2 diabetes and 793 witnesses, were evaluated for peripheral blood parameters using hematology analyzer. All the informations related to the disease were collected from the patients and recorded using predesigned questionnaire. RESULTS: The logistic model retained, the mean corpuscular hemoglobin concentration reveals that subjects with concentration over the normal ratio (>36 g/dl) have an exposure risk six and half times higher than subjects with normal concentration (OR = 6.59; 95% CI = 2.51-17.31, P = 0.000). As regards to the platelets blood ratio, subjects with a ratio lower are five times more exposed to type 2 diabetes compared to subjects with a normal ratio (OR = 5.01; 95% CI = 1.78-14.13, P < 0.002). Our logistic model also retained basophils ratio (OR = 2.18; 95% CI = 1.35-3.53, P < 0.001) and sedimentation rate at one hour (OR = 7.83; 95% CI = 3.39-18.06, P = 0.000). CONCLUSIONS: Hematological profile associated with type 2 diabetes mellitus retained the mean corpuscular hemoglobin concentration over the normal ratio, lower platelets blood ratio, basophils ratio and sedimentation rate at one hour.