Diseases Commons^™

Can Mirna Be The Missing Link Between Parkinson’S Disease And Pesticides?, Fatma Gobba

Theses and Dissertations

Parkinson’s disease (PD) is a common neurodegenerative condition that leads to significant morbidity and a decline in the quality of life. It develops as a consequence of the loss of dopaminergic neurons in the substantia nigra pars compacta. Nevertheless, the development of PD is influenced by environmental factors, and the intricate nature of these relationships is further complicated by a multitude of factors, including the genetic backgrounds that are specific to populations and variations in environmental exposures, such as pesticides. Pesticides, consisting of a diverse family of chemicals commonly used in both agricultural and household settings to protect crops against …

A Preliminary Investigation Of Neuroantibody Levels, Prevalence, And Environmental Factors In Patients With Neurological Dysfunction, Jihan Azar

Theses and Dissertations

Nervous system damage comprises a large proportion of diseases worldwide. It is also the most difficult to diagnose. Biomarkers for nervous system damage are needed in order to diagnose these diseases early enough to allow for intervention. In this study, we recruited patients from two Egyptian hospitals with MCI, ET and NMS and health references. Serum autoantibody levels against neural proteins and heavy metals were analyzed and compared. Immunoglobulin G (IgG) antibodies against neurofilament H (NFH), Glial Fibrillary Acidic Protein (GFAP), Myelin Basic Protein (MBP) and alpha synuclein (a-SYN) and Immunoglobulin M (IgM) antibody against neurofilament light (NFL) were among …

Repurposing Metformin And Antifolates For The Treatment Of Hepatocellular Carcinoma, Sherouk Mohamed Tawfik

Theses and Dissertations

Hepatocellular carcinoma (HCC), one of the most prevalent types of cancers worldwide, continues to maintain high levels of resistance to standard therapy. As clinical data revealed poor response rates, the need for developing new methods has increased to improve the overall wellbeing of patients with HCC. Due to its safety, wide availability and previously reported anti-cancer effects, metformin (MET) serves to be a possible therapeutic agent when combined with other well-known anti-cancer agents. The aim of this study was to investigate the potential anti-cancer effects of MET, an anti-diabetic agent, when combined with two antifolate drugs: trimethoprim (TMP) or methotrexate …

Selective Gsk3Β Inhibition Mediates An Nrf2-Independent Anti-Inflammatory Microglial Response, Mohamed H. Yousef

Theses and Dissertations

Glycogen Synthase Kinase 3 (GSK3) is associated with the proinflammatory phenotype of microglia and has been shown to act in concert with Nuclear factor kappa B (NF-κB). . GSK3 is also a suppressor of Nuclear factor erythroid 2-related factor 2 (Nrf2), the principal regulator of redox homeostasis. Agreeing with the oxidative paradigm of aging, Nrf2 is often deregulated in parainflammatory and neurodegenerative diseases. In this study, we aimed to explore a multimodal disease-modifying utility of GSK3 inhibition, beyond neuronal proteopathologies, Furthermore, we aimed to underscore the difference in therapeutic value between the two GSK3 paralogs by isoform-selective chemical inhibition.

The …

A Predictive Model For Geographical Location Using Microbiome Composition And Covid-19 Based Analysis, Ahmed Adel Aboushanab

Theses and Dissertations

The human microbiome is a main contributor for the health and welfare of the human body. It is affected by many factors like diet and hygiene. These factors differ between different populations. Testing the population-microbiome differences using healthy samples from different countries is the first objective of this study. This data was then used in training and testing machine learning models (Random Forest and L2-logistic Regression Classifiers) for the prediction of the geographical location based on the microbiome data. Random Forest Classifier had the highest accuracy. Feature importance analysis showed that the data for Proteobacteria, Actinobacteria, and Bacteroidetes improved the …

Identifying Micrornas Panel Associated With Hepatocellular Carcinoma In Serum Of Chronic Hepatitis C Patients, Areeg Dabbish

Theses and Dissertations

Introduction: early detection of hepatocellular carcinoma (HCC) will reduce morbidity and mortality rates of this poorly diagnosed widely-spread disease. Dysregulation in microRNA (miRNAs) expression is associated with HCC progression. Objective: Is to identify a panel of differentially expressed miRNAs (DE-miRNAs) to enhance HCC early prediction in hepatitis C virus (HCV) infected patients. Methodology: Candidate miRNAs were selected using bioinformatic analysis of microarray and RNA-sequencing datasets, resulting in nine DE- miRNAs (miR-142, miR-150, miR-183, miR-199a, miR-215, miR-217, miR-224, miR-424 and miR-3607). Their expressions were validated in the serum of 44 healthy individuals, 62 non-cirrhotic HCV patients, 67 cirrhotic-HCV and 72 HCV-associated …

Formulation Of Coffee Extract As Polymeric Nanoparticles And Studying Their Potential Biological Activities, Nouran Sharaf

Theses and Dissertations

Coffee extract was prepared and optimized (by solvent extraction) and subsequently entrapped into PLGA nanoparticles using single emulsion-solvent evaporation method (using Design Expert software). Dynamic Light Scattering, Scanning Electron Microscope, Fourier Transform-Infrared Spectroscopy and Folin Ciocalteau assay were used to characterize the NPs and to aid in selecting the optimum formulation conditions. The optimized NPs were in-vitro evaluated for their antimicrobial (by agar-well diffusion method), antioxidant (by DPPH assay) and anticancer (by MTT assay) activities. Finally, the release rate study was conducted for the NP sample showing the highly promising results.

The succeeded NP sample, in terms of the most …

Analysis Of Single Cell Rna-Seq Data Revealed Interferon Gamma Signaling Alteration In Severe Covid Patients, Ahmed Elbaz

Theses and Dissertations

Background: SARS-COV2 virus detected in December 2019, and was considered a pandemic in March 2020 by the WHO. Symptoms range from asymptomatic to life threatening ones. Studying cell-cell interactions in patients' blood samples may lead to novel diagnosis and treatment approaches.

Aim: This study aims to analyze single-cell RNA sequencing data to identify differences in cell-cell communications between healthy and COVID patients and differentially expressed T-cells genes that contributed to immune system antiviral activity.

Materials and methods: Single-Cell RNA sequencing data from seven COVID patients and five healthy individuals were collected from (GEO accession GSE155673). Cell types were identified and …