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.

Childhood type 1 diabetes mellitus and risk factor of interactions between dietary cow's milk intake and HLA-DR3/DR4 genotype

Short-term breastfeeding and early exposure to dairy products into infant diets, may be critical factors for development of type 1 diabetes. In this study, we investigate whether cow's milk proteins are risk factors for type 1 diabetes in genetically susceptible individuals (HLA DR3/DR4) by using statistical analysis and in silico approach. In order to verify the potential risk of the early introduction of cow's milk, we conducted this study to validate the veracity of this hypothesis in our population. We included 121 subjects, 55 type 1 diabetics and 74 controls from the region of Tlemcen (Algeria). Thus, the in silico approach was performed to determine the molecular mimicry region between Bovine serum albumin and beta-lactoglobulin with self-Islet antigen 2 and glutamate decarboxylase 65 by determining their sequences and their 3D structures. The risk factors associated with type 1 diabetes in a genetically predisposed individual (HLA DR3/DR4) retained by the logistic model are: type 1 and type 2 diabetes inheritance, the early introduction of cow's milk before 6 months and breastfeeding less than 9 months. Besides, the epitopes of cow's milk proteins have the capacity to bind to predisposing HLA class II molecules (HLA DR3/DR4) and induce an immune reaction by the secretion of Interleukin 4 (Th2) and Interferon (Th1) which lead to the destruction of pancreatic beta cells. The early introduction of cow's milk proteins in susceptible individuals is considered as risk factors for the pathogenesis of T1DM. The in silico approach confirm that BSA and BLG share sequence and structure homology with IA2 and GAD65.Communicated by Ramaswamy H. Sarma.

Copper Isotopes and Copper to Zinc Ratio as Possible Biomarkers for Thyroid Cancer

Thyroid cancer is the most common endocrine cancer. There is no systematic screening for such cancer, and the current challenge is to find potential biomarkers to facilitate an early diagnosis. Copper (Cu) and zinc (Zn) are essential micronutrients involved in the proper functioning of the thyroid gland, and changes in their concentrations have been observed in the development of cancer. Previous studies have highlighted the potential ⁶⁵Cu/⁶³Cu ratio (δ⁶⁵Cu) to be a cancer biomarker. This study tests its sensitivity on plasma samples (n = 46) of Algerian patients with papillary thyroid carcinoma and a set of corresponding biopsies (n = 11). The δ⁶⁵Cu ratio in blood and tumor samples was determined using multi collector inductively coupled plasma-mass spectrometry (MC-ICP-MS), and their corresponding Cu and Zn plasma total concentrations using total reflection X-ray fluorescence (TXRF). Plasma concentrations of Cu were significantly higher (1346.1 ± 328.3 vs. 1060.5 ± 216.1 μg/L, p < 0.0001), and Zn significantly lower (942.1 ± 205.2 vs. 1027.9 ± 151.4 μg/L, p < 0.05) in thyroid cancer patients as compared to healthy controls (n = 50). Accordingly, the Cu/Zn ratio was significantly different between patients and controls (1.5 ± 0.4 vs. 1.0 ± 0.3, p < 0.0001). Furthermore, the δ⁶⁵Cu plasma levels of patients were significantly lower than healthy controls (p < 0.0001), whereas thyroid tumor tissues presented high δ⁶⁵Cu values. These results support the hypothesis that Cu isotopes and plasma trace elements may serve as suitable biomarkers of thyroid cancer diagnosis.

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 β.

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.

Selenium overexposure induces insulin resistance: In silico study

BACKGROUND AND AIMS

Several studies raise concerns about the possible association of high selenium exposure with insulin resistance and type 2 diabetes. This in silico study proposes a possible mechanism of insulin resistance in the case of overexposure to selenium.

METHOD

A study was carried out using molecular modeling, where cysteines of the insulin-receptor are replaced by selenocysteines. Calculation of the interaction energy of the receptor was performed in both cases with Auto Dock Tools and Vina 4.2 software to predict whether the substitution of amino acid could lead to destabilization of the protein-ligand complex and therefore possibly insulin resistance. Finally, the docked complex was analyzed by using BIOVIA Discovery Studio Visualizer to show the type of interactions between the ligands and insulin-receptor, and to determine the distance of the ligands from the binding site on insulin-receptor.

RESULTS

The results show that the substitution of cysteine by selenocysteine in the insulin receptor does not lead to stabilization of the complex receptor/insulin, but to its disruption.In addition, the types and the number of bonds between insulin and its receptor in the two cases are different, where 7 strong bonds between insulin and its receptor were found in the case of the cysteine complex compared to 6 weak bonds in the second case.

CONCLUSION

Findings of this study suggest that misincorporation of selenocysteines in insulin receptor could lead to destabilization of the insulin-receptor complex and therefore may possibly cause an insulin resistance.

Hematologic disorders during essential hypertension

BACKGROUND

Besides the traditional risk factors, hematological changes may be involved in the development of arterial hypertension and in its pathogenesis.

METHODS

The study, conducted on a sample of 545 subjects, 215 with hypertension and 330 witnesses, were evaluated for peripheral blood parameters in western Algeria; Logistic regression analysis was used to predict hypertension with hematological parameters.

RESULTS

The characters studied related significantly; lower red blood cell levels have a three-and-a-half-fold risk of developing hypertension compared to those who have normal red blood cell counts (OR = 3.64, 95% CI = 1.37-9.65, p < 0.05). Subjects who have mean corpuscular volume rate below 80 fl are more exposed to hypertension (OR = 13.58, 95% CI = 4.68-39.41, p = 0.000). The mean corpuscular hemoglobin concentration reveals that subjects who have a lower than normal (<27 pg) are once less exposed to hypertension (OR = 0.04, 95% CI = 0.01-0.13, p = 0.000). Subjects who have lower platelet count than normal are twelve times more exposed to hypertension (OR = 12.13, 95% CI = 1.45-101.18, P = 0.021). Finally, the increase in sedimentation rate at one hour increases the risk of hypertension by 56.63 times compared to subjects with normal sedimentation rate (OR = 56.63, 95% CI = 3.37-597.33, P = 0.001).

CONCLUSIONS

Hematological profile associated with essential hypertension retained Red blood cells ratio, mean corpuscular volume, mean corpuscular hemoglobin concentration, platelet ratio, and sedimentation rate at one hour.

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.

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.