Ginger extract and aerobic training reduces lipid profile in high-fat fed diet rats.

OBJECTIVE: Obesity, hyperglycemia and dyslipidemia, are major risk factors. However, natural therapies, dietary components, and physical activity may effect on these concerns. The aim of this study was to examine the effect of aerobic exercise and consumption of liquid ginger extract on lipid profile of Male rats with a high-fat fed diet. MATERIALS AND METHODS: 32 rats were randomly divided into 4 groups: 1) aerobic exercise, 2) Ginger extract, 3) combined aerobic exercise and Ginger extract, and 4) the control. Subjects of the first three groups received ginger extract via gavage feeding of 250 mg/kg. The exercise program was 3 sessions per week on 3 different days over 4 weeks. Total cholesterol (TC), Triglyceride (TG), HDL and LDL were measured 24-h before the first session and 24-h after the final training session. RESULTS: The concentration of TG in the control group was significantly higher than other groups. In addition, the mean concentration of TG in the aerobic exercise group was significantly lower than Ginger extract group but there was no significant difference as compared to combined aerobic exercise and ginger extract group. The combination of aerobic exercise and ginger consumption significantly reduced the TG level compared to ginger group. TC and LDL concentrations were significantly decreased in all groups compare to control. The combination of aerobic exercise and ginger extract feeding caused a significant increase in HDL levels. CONCLUSIONS: The finding of this study suggests that the combination of aerobic exercise and liquid ginger extract consumption might be an effective method of reducing lipid profiles, which will reduce the risk of cardiovascular diseases caused by high-fat diets.

Genetic diversity of Plasmodium Vivax in South of Iran: A cross-sectional study.

Despite declining the number of malaria cases in Iran, increased prevalence of malaria is supposed to be due to migration from eastern neighboring countries of Iran, which are abundant in Plasmodium vivax (P. vivax). The circumsporozoite protein (CSP) of the P. vivax, is one of the candidate antigens for antimalaria vaccine. The diversity of P. vivax populations circulating in Iran has been investigated by using circumsporozoite protein (CSP) in this study. A hundred and eighteen blood samples were collected from patients diagnosed with P. vivax malaria from south of Iran during 2007-2008. All samples were analyzed by using nested PCR/ RFLP and 18 were sequenced. Genotyping of Pvcsp gene showed that VK210 type was predominant (95%) in south of Iran. Sequence analysis of Pvcsp gene revealed 6 distinct allelic variants in VK210 type. The present data indicate that there is some degree of genetic diversity among P. vivax populations in Hormozgan province of Iran. It seems that in neighbors of Iran, VK210 type is predominant, probably due to similar vector of malaria in these regions.

The effect of relaxin on the musculoskeletal system.

Relaxin is a hormone structurally related to insulin and insulin-like growth factor, which exerts its regulatory effect on the musculoskeletal and other systems through binding to its receptor in various tissues, mediated by different signaling pathways. Relaxin alters the properties of cartilage and tendon by activating collagenase. This hormone is also involved in bone remodeling and healing of injured ligaments and skeletal muscle. In this review, we have summarized the literature on the effect of relaxin in musculoskeletal system to provide a broad perspective for future studies in this field.

Comparison of angiogenesis in keratocystic odontogenic tumours, dentigerous cysts and ameloblastomas.

OBJECTIVE: The aim of the present study was to evaluate and compare angiogenesis in keratocystic odontogenic tumours, dentigerous cysts (DCs) and ameloblasomas using monoclonal antibody against CD34. MATERIALS AND METHODS: Microvessel density was assessed in a total of 53 cases including 20 keratocystic odontogenic tumours, 13 DCs and 20 ameloblastomas (14 solid and six unicystic variants). Microvessel density was expressed as the mean number of microvessels per high-power-field. RESULTS: Statistically significant differences in mean microvessel density were observed between keratocystic odontogenic tumours, DCs and solid ameloblastomas (P < 0.001). Mean microvessel density was significantly higher in solid ameloblastomas compared with both keratocystic odontogenic tumours and DCs; and was also significantly higher in keratocystic odontogenic tumours than in DCs. CONCLUSION: Within the limitations of the present study, it can be suggested that angiogenesis may be one of the mechanisms possibly contributing to the different biological behaviours of keratocystic odontogenic tumours, DCs and solid ameloblastomas.

Automatic detection of clustered microcalcifications in digital mammograms: Study on applying adaboost with SVM-based component classifiers.

This paper presents a computer-aided diagnosis (CAD) system for automatic detection of clustered microcalcifications (MCs) in digitized mammograms. The proposed system consists of two main steps. First, potential MC pixels in the mammograms are segmented out by using four mixed features consisting of two wavelet features and two gray level statistical features and then the potential MC pixels are labeled into potential individual MC objects by their spatial connectivity. Second, MCs are detected by extracting a set of 17 features from the potential individual MC objects. The classifier which is used in the first step is a multilayer feedforward neural network classifier but for the second step we have used Adaboost with SVM-based component classifier. Component classifiers which we used in our combining method are SVM classifiers with RBF kernel. The method was applied to a database of 40 mammograms (Nijmegen database) containing 105 clusters of MCs. A free-response operating characteristics (FROC) curve is used to evaluate the performance of CAD system. Results show that the proposed system gives quite satisfactory performance. In particular, 89.55% mean true positive detection rate is achieved at the cost of 0.921 false positive per image.