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Articles 1 - 9 of 9
Full-Text Articles in Disease Modeling
Metabolic Adaptation Of Staphylococcus Aureus Pathogenesis And Therapeutic Approach In Diabetic Foot Ulcers., Carol L. Baker
Metabolic Adaptation Of Staphylococcus Aureus Pathogenesis And Therapeutic Approach In Diabetic Foot Ulcers., Carol L. Baker
Theses and Dissertations
37.3 million Americans (11.2% of the US population) currently have Type 2 diabetes mellitus (T2DM) with over 1.5 million new cases being diagnosed each year. The multifactorial etiology of the patient having neuropathy, overweight/obesity, foot deformities, ischemia, and infection leads to a condition called diabetic foot ulcer (DFU). One in six patients with a DFU will require amputation with infected DFUs have a 155-fold increased risk of amputation. Staphylococcus aureus is the most common bacteria isolated from severe DFU infections that require amputation. Interestingly, diabetics are more heavily colonized with S. aureus compared to non-diabetics suggesting a unique advantageous adaptation …
In Vitro And In Vivo Diabetic Models For Assessment Of Tissue Engineered Vascular Grafts, Juan Carlos Carrillo Garcia
In Vitro And In Vivo Diabetic Models For Assessment Of Tissue Engineered Vascular Grafts, Juan Carlos Carrillo Garcia
All Dissertations
Diabetes has become one of the leading causes of lower-limb loss worldwide. Every 30 seconds, a person loses a limb due to diabetic-related vascular complications. About one-third of patients needing lower-limb bypass surgery have debilitated autologous vessels unsuitable for use, and no other good long-term options are available. These detrimental effects on the vasculature are caused mainly by the hyperglycemic and hyperlipidemic conditions derived from diabetes. Under these conditions, an increase in advanced glycation end products (AGEs) and reactive oxygen species leads to irreversible crosslinks of extracellular matrix proteins, accelerating vascular pathology through vascular stiffening, endothelial dysfunction, inflammation, atherosclerosis, fibrosis, …
Associations Between Demographic, Social Determinant, And Health Factors And Self-Management Measures Among Insured Individuals With Type 2 Diabetes, Shari Bowers-Dueker
Associations Between Demographic, Social Determinant, And Health Factors And Self-Management Measures Among Insured Individuals With Type 2 Diabetes, Shari Bowers-Dueker
Capstone Experience: Master of Public Health
Background: Ensuring that individuals with type 2 diabetes properly manage their chronic condition is a nation-wide challenge, even among individuals who have health insurance coverage and access to the treatment they need. There exist several literature sources that suggest various factors that may influence an individual’s lack of self-management of type 2 diabetes. This study investigated some of these factors by determining whether various demographic, social determinant, and health factors were associated with three self-management measures among individuals with type 2 diabetes.
Methods: The self-management measures of interest included (i) whether the annual recommended two primary care visits were attended …
Establishment Of An In Vivo Streptozotocin-Induced Type 1 Diabetes Model Recapitulating Early Brain And Retinal Fibrosis, Kia Bourdot, Lucy Dawson, Igor Kuzin, Arturo Bravo Nuevo, Zeus Antonello
Establishment Of An In Vivo Streptozotocin-Induced Type 1 Diabetes Model Recapitulating Early Brain And Retinal Fibrosis, Kia Bourdot, Lucy Dawson, Igor Kuzin, Arturo Bravo Nuevo, Zeus Antonello
Cooper Rowan Medical Journal
INTRODUCTION: Diabetes has risen to one of the top American public health concerns. The hyperglycemic state of chronic diabetes leads to microvascular and macrovascular changes that predispose patients to delayed wound healing and organ fibrosis. The validation of models to specifically detect early, quantifiable fibrotic changes seen in the diabetic state is of fundamental importance for understanding the diabetic pathophysiology and exploring earlier management options. Here, we investigated if we could detect early signs of internal fibrosis in a streptozotocin (STZ) diabetic mouse model by quantifying α-SMA expression in various organs using flow cytometry.
METHODS: We used a low-dose STZ-induced …
Determining The Link Between Advanced Glycation Endproducts (Ages), Feeding, And Metabolism, Lauren Wimer
Determining The Link Between Advanced Glycation Endproducts (Ages), Feeding, And Metabolism, Lauren Wimer
Natural Sciences and Mathematics | Biological Sciences Master's Theses
Reactive a-dicarbonyls (a-DC’s), such as methylglyoxal (MGO), are unavoidable metabolites generated during glycolysis that accumulate with age and have been linked with chronic age-related metabolic diseases such as Diabetes Mellitus. Diabetes Mellitus is generally characterized by peripheral neuropathy and sustained hyperglycemia. Chronic hyperglycemia leads to an increase in glycolysis and a downstream increase in reactive a-DC’s. The human body has a natural method of detoxifying these a-DC’s. Glycolytic cells have enzymes which can detoxify a-DC’s, but if overwhelmed, a-DC’s can accumulate and react non-enzymatically with proteins, lipids and DNA to yield a group of molecules called advanced glycation end-products (AGEs). …
Characterization Of Extracellular Vesicles From Human Diabetic Retinopathy Retinal Tissue In Vitro And From Urine Of Human Patients With Diabetic Retinopathy, Jason Mighty
Dissertations, Theses, and Capstone Projects
Diabetic Retinopathy (DR) is a neurovascular complication associated with diabetes mellitus that affects approximately 120 million people worldwide and its prevalence is expected to reach 190 million by 2030. DR diagnosis is accomplished with fundus ophthalmoscopy often when retinal damage and vision loss have already occurred. A group of biomarker being explored for early detection of diseases are extracellular vesicles (EVs), which are nanometer diameter lipid enclosed vesicles, released from all cell types and containing genetic cargo reflective of releasing cell state. EV biomarkers are currently being explored to help monitor disease predisposition, pathogenesis and response to treatment. While an …
The Influence Of Stressful Life Events On The Development Of Type 2 Diabetes, Joshua Minks
The Influence Of Stressful Life Events On The Development Of Type 2 Diabetes, Joshua Minks
Dissertations
This study examined the relationship between distress and the development of Type 2 diabetes mellitus (T2DM) in the presence of established risk factors. Distress secondary to mental health disparities, stressful life events, and work conditions has been shown to promote insulin resistance and the development of T2DM.
Subjects (N=79) diagnosed with T2DM within the previous six months were recruited from SSM Health Centers and VA Medical Centers in the greater St. Louis area. They completed the Recent Life Changes Questionnaire, ENRICHD Social Support Instrument, and a demographic survey and analyses were conducted to determine differences between the veteran …
Application Of Support Vector Machine Modeling And Graph Theory Metrics For Disease Classification, Jessica M. Rudd
Application Of Support Vector Machine Modeling And Graph Theory Metrics For Disease Classification, Jessica M. Rudd
Published and Grey Literature from PhD Candidates
Disease classification is a crucial element of biomedical research. Recent studies have demonstrated that machine learning techniques, such as Support Vector Machine (SVM) modeling, produce similar or improved predictive capabilities in comparison to the traditional method of Logistic Regression. In addition, it has been found that social network metrics can provide useful predictive information for disease modeling. In this study, we combine simulated social network metrics with SVM to predict diabetes in a sample of data from the Behavioral Risk Factor Surveillance System. In this dataset, Logistic Regression outperformed SVM with ROC index of 81.8 and 81.7 for models with …
Testing Mice At Risk Of Pancreatic Cancer For Altered Protein Pathways Found In Diabetes, Henley Cheung
Testing Mice At Risk Of Pancreatic Cancer For Altered Protein Pathways Found In Diabetes, Henley Cheung
Honors Undergraduate Theses
Pancreatic cancer is nearly asymptomatic, which can result in extensive grow and even metastasis to other organs before detection. When diagnosed at a late stage, the survival rate is 3%. Early detection is therefore the key to treating pancreatic cancer. Diabetes was identified as a risk factor for the development of pancreatic cancer, but the mechanism remains unknown. In this project, the objective was to delineate a link between diabetes and pancreatic cancer by examining their shared protein signaling pathways. In a previous study, hyper-activation of AKT1 resulted in a pre-diabetic phenotype and also increased upregulation of downstream phosphorylated mTOR …