Minia University

About: Minia University is a education organization based out in Minya, Egypt. It is known for research contribution in the topics: Population & Medicine. The organization has 4967 authors who have published 8986 publications receiving 108384 citations.

Design and implementation of a computer-aided diagnosis system for brain tumor classification

Abstract: Computer-aided diagnosis (CAD) systems have become very important for the medical diagnosis of brain tumors. The systems improve the diagnostic accuracy and reduce the required time. In this paper, a two-stage CAD system has been developed for automatic detection and classification of brain tumor through magnetic resonance images (MRIs). In the first stage, the system classifies brain tumor MRI into normal and abnormal images. In the second stage, the type of tumor is classified as benign (Noncancerous) or malignant (Cancerous) from the abnormal MRIs. The proposed CAD ensembles the following computational methods: MRI image segmentation by K-means clustering, feature extraction using discrete wavelet transform (DWT), feature reduction by applying principal component analysis (PCA). The two-stage classification has been conducted using a support vector machine (SVM). Performance evaluation of the proposed CAD has achieved promising results using a non-standard MRIs database.

Comprehensive Virtual Screening of the Antiviral Potentialities of Marine Polycyclic Guanidine Alkaloids against SARS-CoV-2 (COVID-19).

Abstract: The huge global expansion of the COVID-19 pandemic caused by the novel SARS-corona virus-2 is an extraordinary public health emergency. The unavailability of specific treatment against SARS-CoV-2 infection necessitates the focus of all scientists in this direction. The reported antiviral activities of guanidine alkaloids encouraged us to run a comprehensive in silico binding affinity of fifteen guanidine alkaloids against five different proteins of SARS-CoV-2, which we investigated. The investigated proteins are COVID-19 main protease (Mpro) (PDB ID: 6lu7), spike glycoprotein (PDB ID: 6VYB), nucleocapsid phosphoprotein (PDB ID: 6VYO), membrane glycoprotein (PDB ID: 6M17), and a non-structural protein (nsp10) (PDB ID: 6W4H). The binding energies for all tested compounds indicated promising binding affinities. A noticeable superiority for the pentacyclic alkaloids particularly, crambescidin 786 (5) and crambescidin 826 (13) has been observed. Compound 5 exhibited very good binding affinities against Mpro (ΔG = -8.05 kcal/mol), nucleocapsid phosphoprotein (ΔG = -6.49 kcal/mol), and nsp10 (ΔG = -9.06 kcal/mol). Compound 13 showed promising binding affinities against Mpro (ΔG = -7.99 kcal/mol), spike glycoproteins (ΔG = -6.95 kcal/mol), and nucleocapsid phosphoprotein (ΔG = -8.01 kcal/mol). Such promising activities might be attributed to the long ω-fatty acid chain, which may play a vital role in binding within the active sites. The correlation of c Log P with free binding energies has been calculated. Furthermore, the SAR of the active compounds has been clarified. The Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) studies were carried out in silico for the 15 compounds; most examined compounds showed optimal to good range levels of ADMET aqueous solubility, intestinal absorption and being unable to pass blood brain barrier (BBB), non-inhibitors of CYP2D6, non-hepatotoxic, and bind plasma protein with a percentage less than 90%. The toxicity of the tested compounds was screened in silico against five models (FDA rodent carcinogenicity, carcinogenic potency TD50, rat maximum tolerated dose, rat oral LD50, and rat chronic lowest observed adverse effect level (LOAEL)). All compounds showed expected low toxicity against the tested models. Molecular dynamic (MD) simulations were also carried out to confirm the stable binding interactions of the most promising compounds, 5 and 13, with their targets. In conclusion, the examined 15 alkaloids specially 5 and 13 showed promising docking, ADMET, toxicity and MD results which open the door for further investigations for them against SARS-CoV-2.

Associations between copper and zinc intakes from diet and mortality from cardiovascular disease in a large population-based prospective cohort study.

Abstract: Several studies have related cardiovascular disease (CVD) to serum concentrations of copper and zinc but not to their dietary intakes. We thought to examine the association between dietary intakes of copper and zinc with risk of mortality from CVD in a prospective study encompassing 58,646 healthy Japanese men and women aged 40-79 years. The intakes of copper and zinc were determined by a validated self-administered food frequency questionnaire, and their associations with risk of mortality from CVD were evaluated by Cox proportional hazard modelling. During 965, 970 person-years of follow-up between 1989-2009, we documented 3,388 CVD deaths [1,514 from stroke, 702 from coronary heart disease (CHD) and 1,172 from other CVD]. Copper intake was not associated with CHD mortality; however, the multivariable hazard ratios (HRs) with 95% confidence intervals (CIs) for mortality from stroke, other CVD and total CVD in the highest versus the lowest quintiles of copper intake among men were 1.78 (1.16-2.77; P-trend=0.007), 1.61 (1.01-2.81; P-trend =0.03) and 1.63 (1.21-2.33; P-trend=0.001), respectively, and those among women were 1.49 (1.00-2.19; P-trend=0.04), 1.59 (1.09-2.55; P-trend =0.02) and 1.36 (1.06-1.69; P-trend=0.01), respectively. Higher intakes of zinc was inversely associated with mortality from CHD in men; 0.68 (0.58-1.03; P-trend=0.05) but not women; 1.13 (0.71- 1.49; P-trend=0.61). No associations were observed with other mortality endpoints. In conclusion, dietary copper intake was positively associated with mortality from CVD in both genders; whereas, higher dietary zinc intake was inversely associated with mortality from CHD in men but not women.