(1) Background: Plant flavonoids are efficient in preventing and treating various diseases. This study aimed to evaluate the ability of hesperidin, a flavonoid found in citrus fruits, in inhibiting lipopolysaccharide (LPS) induced inflammation, which induced lethal toxicity in vivo, and to evaluate its importance as an antitumor agent in breast cancer. The in vivo experiments revealed the protective effects of hesperidin against the negative LPS effects on the liver and spleen of male mice. (2) Methods: In the liver, the antioxidant activity was measured by estimating the concentration of glutathione (GSH) and catalase (CAT), whereas in spleen, the concentration of cytokines including IL-33 and TNF-α was measured. The in vitro expe

Background: Cadmium (Cd) is an industrial and environmental pollutant that affect adversely a number of organs in humans and other mammals.
Objectives: To study the effect of cadmium on liver of mice.
Material and Methods: Male Balb/c mice weighing 30-32 gm, 60 days old, were treated intraperitoneally (ip) with (1-10mg/kg body wt. /CdCl2). The body weight, liver weight, histological examination of liver, SEM, metal analysis along with DNA ladder for apoptosis.
Results: Cadmium induced both a time, and dose dependent increase in apoptotic, severity of necrosis. Liver weight, body weight decreased with increase of dose, while metal content was increased by increase of dose.
Conclusion: It has been concluded that cadmium caused

This study was carried out on 10 adult females of albino mice ,  aged  8 – 10 weeks and      24 – 27 gm weight . In addition to 10 males were used for mating in order to determine the effect of injection of bromocriptine on the early stages of pregnancy and this was observed by measuring the weights of some component of female  reproduction  .                                                    The animals were divided into groups

     Heat shock proteins (HSPs) are a group of intracellular proteins that promote proteins folding and unfolding under normal and/or stress conditions. In addition to their intracellular location, HSPs are found on the plasma membranes of stressed, but not normal, cells and in the extracellular milieu where they can trigger an immune response. For instance, the inducible form of heat shock protein 70 (HSPA1A) was found to be overexpressed, intra or extracellularly, by many types of stressed cells. In our study, we aim to investigate the levels of HSPA1A in the serum of untreated lung tumor patients and its expression in the tissues derived from lung tumors and chronic obstructive pulmonary diseases (COPD) and healthy

Background: IL-4 is an antibodies inflammatory cytokine which has an important role in protecting against the inflammatory reactions in most of diseases. Here, we try to highlights the role of this cytokine in chronic Rheumatic heart disease and its correlation with the extent of histopathological abnormalities.
Patients and Methods: Rheumatic mitral valve surgical fragments were taken from a total of 48 Iraqi patients with chronic rheumatic heart disease under mitral valve replacement surgery in Ibn Al- Bitar Hospital for Cardiac Surgery-Iraq-Baghdad. Paraffin embedded mitral valve tissue sections were prepared. IL-4-expressing cells were detected by using immunohistochemical staining technique and

Lung cancer is one of the most serious and prevalent diseases, causing many deaths each year. Though CT scan images are mostly used in the diagnosis of cancer, the assessment of scans is an error-prone and time-consuming task. Machine learning and AI-based models can identify and classify types of lung cancer quite accurately, which helps in the early-stage detection of lung cancer that can increase the survival rate. In this paper, Convolutional Neural Network is used to classify Adenocarcinoma, squamous cell carcinoma and normal case CT scan images from the Chest CT Scan Images Dataset using different combinations of hidden layers and parameters in CNN models. The proposed model was trained on 1000 CT Scan Images of cancerous and non-c

          In this paper, the survival function has been estimated for the patients with lung cancer using different parametric estimation methods depending on sample for completing real data which explain the period of survival for patients who were ill with the lung cancer based on the diagnosis of disease or the entire of patients in a hospital for a time of two years (starting with 2012 to the end of 2013). Comparisons between the mentioned estimation methods has been performed using statistical indicator mean squares error, concluding that the estimation of the survival function for the lung cancer by using pre-test singles stage shrinkage estimator method was the best   . <