Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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- All Subjects: Diabetes
Description
As the 7th leading cause of death in the world, with over 1.6 millions deaths attributed to it in 2016 alone, diabetes mellitus has been a rising global health concern. Type 1 diabetes is caused by lack of insulin production whereas type 2 diabetes is caused by insulin resistance. Both types of diabetes lead to increased glucose levels in the body if left untreated. This, in turn, leads to the development of a host of complications, one of which is ischemic heart disease. Accounting for the death of 16% of the world’s population, ischemic heart disease has been the leading cause of death since 2000. As of 2019, deaths from this disease have risen from 2 million to over 8.9 million globally. While medicine exists to counter the negative outcomes of diabetes mellitus, lower income nations suffer from the lack of availability and high costs of these medications. Therefore, this systematic review was performed to determine whether a non-medicinal treatment could provide similar therapeutic benefits for individuals with diabetes. Genistein is a phytoestrogen found in soy-based products, which has been potentially linked with preventing diabetes and improving diabetes-related symptoms such as hyperglycemia and abnormal insulin levels. We searched PubMed and SCOPUS using the terms ‘genistein’, ‘diabetes’, and ‘glucose’ and identified 32 peer-reviewed articles. In general, preclinical studies demonstrate that genistein decreases body weight as well as circulating glucose and triglycerides concentrations while increasing insulin levels and insulin sensitivity. It also delayed the onset of type 1 and type 2 diabetes. In contrast, clinical studies of genistein in general reported no significant relationship between genistein and body mass, circulating glucose, serum insulin, A1C concentrations, or onset of type 1 diabetes. However, genistein was found to improve insulin sensitivity, delay type 2 diabetes onset and improve serum triglyceride levels. In summary, preclinical and clinical studies suggest that genistein may help delay onset of type 2 diabetes and improve several symptoms associated with the disease. By translating these findings into clinical settings, genistein may offer a cost effective natural approach at mitigating complications associated with diabetes, although additional research is required to confirm these findings.
ContributorsJain, Rijul (Author) / Sweazea, Karen (Thesis director) / Al-Nakkash, Layla (Committee member) / Bolch, Charlotte (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-04-16
Description
Bone is an active tissue that is vital for many important bodily functions including providing support and structure, facilitating movement, producing blood cells, and storing and releasing minerals and fat. Bone is actively remodeling by resorbing old bone and forming new bone. These processes are carried about by osteoblasts and osteoclasts. When there is a balance between the processes of bone remodeling, resorption and formation, in adults, bone density is maintained and healthy. However, when bone resorption occurs at a greater rate than bone formation, bone density is reduced. This can be caused as a side effect of disease, such as the case in diabetes, or as a result of disease, such as osteoporosis. Bone health can be assessed several different ways including through dual-energy X-ray absorptiometry (DXA) scans to determine and monitor bone mineral density (BMD) or through protein assays of bone turnover marker (BTMs) to look directly at the different biochemical markers of bone remodeling. Measurement of BMD and BTM both have their benefits and downsides and a combination of both is most ideal for obtaining a holistic view of an individual’s bone health and remodeling.
ContributorsFuentes, Braegen (Author) / Swan, Dr. Pamela (Thesis director) / Johnston, Dr. Carol (Committee member) / School of Life Sciences (Contributor) / School of Art (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Birds maintain resting plasma glucose concentrations (pGlu) nearly twice that of comparably sized mammals. Despite this, birds do not incur much of the oxidative tissue damage that might be expected from a high pGlu. Their ability to stave off oxidative damage allows birds to serve as a negative model of hyperglycemia-related complications, making them ideal for the development of new diabetes treatments with the potential for human application. Previous studies conducted by the Sweazea Lab at Arizona State University aimed to use diet as a means to raise blood glucose in mourning doves (Zenaida macroura) in order to better understand the mechanisms they utilize to stave off oxidative damage. These protocols used dietary interventions—a 60% high fat (HF) “chow” diet, and a high carbohydrate (HC) white bread diet—but were unsuccessful in inducing pathologies. Based on this research, we hypothesized that a model of an urban diet (high in fat, refined carbohydrates, and sodium) might impair vasodilation, as the effect of this diet on birds is currently unknown. We found that tibial vasodilation was significantly impaired in birds fed an urban diet compared to those fed a seed diet. Unexpectedly, vasodilation in the urban diet group was comparable to data of wild-caught birds from previous research, possibly indicating that the birds had already been eating a diet similar to this study’s urban diet before they were caught. This may constitute evidence that the seed diet improved vasodilation while the urban diet more closely mimicked the diet of the birds before the trial, suggesting that the model of the urban diet acted as the control diet in this context. This study is the first step in elucidating avian mechanisms for dealing with diabetogenic diets and has potential to aid in the development of treatments for humans with metabolic syndrome.
ContributorsRenner, Michael William (Author) / Sweazea, Karen (Thesis director) / Johnston, Carol (Committee member) / Basile, Anthony (Committee member) / Dean, W.P. Carey School of Business (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Introduction: Diabetes Mellitus (DM) is a significant health problem in the United States, with over 20 million adults diagnosed with the condition. Type 2 Diabetes Mellitus, characterized by insulin resistance, in particular has been associated with various adverse conditions such as chronic kidney disease and peripheral artery disease. The presence of Type 2 Diabetes in an individual is also associated with various risk factors such as genetic markers and ethnicity. Native Americans, in particular, are more susceptible to Type 2 Diabetes Mellitus, with Native Americans having over two times the likelihood to present with Type 2 DM than non Hispanic whites. Of worry is the Pima Indian population in Arizona, which has the highest prevalence of Type 2 DM in the world. There have been many risk factors associated with the population such as genetic markers and lifestyle changes, but there has not been much research on the utilization of raw data to find the most pertinent factors for diabetes incidence.
Objective: There were three main objectives of the study. One objective was to elucidate potential new relationships via linear regression. Another objective was to determine which factors were indicative of Type 2 DM in the population. Finally, the last objective was to compare the incidence of Type 2 DM in the dataset to trends seen elsewhere.
Methods: The dataset was uploaded from an open source site with citation onto Python. The dataset, created in 1990, was composed of 768 female patients across 9 different attributes (Number of Pregnancies, Plasma Glucose Levels, Systolic Blood Pressure, Triceps Skin Thickness, Insulin Levels, BMI, Diabetes Pedigree Function, Age and Diabetes Presence (0 or 1)). The dataset was then cleaned using mean or median imputation. Post cleaning, linear regression was done to assess the relationships between certain factors in the population and assessed via the probability statistic for significance, with the exclusion of the Diabetes Pedigree Function and Diabetes Presence. Reverse stepwise logistic regression was used to determine the most pertinent factors for Type 2 DM via the Akaike Information Criterion and through the statistical significance in the model. Finally, data from the Center of Disease Control (CDC) Diabetes Surveillance was assessed for relationships with Female DM Percenatge in Pinal County through Obesity or through Physical Inactivity via simple logistic regression for statistical significance.
Results: The majority of the relationships found were statistically significant with each other. The most pertinent factors of Type 2 DM in the dataset were the number of pregnancies, the plasma glucose levels as well as the Blood Pressure. Via the USDS Data from the CDC, the relationships between Female DM Percentage and the obesity and inactivity percentages were statistically significant.
Conclusion: The trends found in the study matched the trends found in the literature. Per the results, recommendations for better diabetes control include more medical education as well as better blood sugar monitoring.With more analysis, there can be more done for checking other factors such as genetic factors and epidemiological analysis. In conclusion, the study accomplished its main objectives.
Objective: There were three main objectives of the study. One objective was to elucidate potential new relationships via linear regression. Another objective was to determine which factors were indicative of Type 2 DM in the population. Finally, the last objective was to compare the incidence of Type 2 DM in the dataset to trends seen elsewhere.
Methods: The dataset was uploaded from an open source site with citation onto Python. The dataset, created in 1990, was composed of 768 female patients across 9 different attributes (Number of Pregnancies, Plasma Glucose Levels, Systolic Blood Pressure, Triceps Skin Thickness, Insulin Levels, BMI, Diabetes Pedigree Function, Age and Diabetes Presence (0 or 1)). The dataset was then cleaned using mean or median imputation. Post cleaning, linear regression was done to assess the relationships between certain factors in the population and assessed via the probability statistic for significance, with the exclusion of the Diabetes Pedigree Function and Diabetes Presence. Reverse stepwise logistic regression was used to determine the most pertinent factors for Type 2 DM via the Akaike Information Criterion and through the statistical significance in the model. Finally, data from the Center of Disease Control (CDC) Diabetes Surveillance was assessed for relationships with Female DM Percenatge in Pinal County through Obesity or through Physical Inactivity via simple logistic regression for statistical significance.
Results: The majority of the relationships found were statistically significant with each other. The most pertinent factors of Type 2 DM in the dataset were the number of pregnancies, the plasma glucose levels as well as the Blood Pressure. Via the USDS Data from the CDC, the relationships between Female DM Percentage and the obesity and inactivity percentages were statistically significant.
Conclusion: The trends found in the study matched the trends found in the literature. Per the results, recommendations for better diabetes control include more medical education as well as better blood sugar monitoring.With more analysis, there can be more done for checking other factors such as genetic factors and epidemiological analysis. In conclusion, the study accomplished its main objectives.
ContributorsKondury, Kasyap Krishna (Author) / Scotch, Matthew (Thesis director) / Aliste, Marcela (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The aim of this paper is to investigate the B-casein fractions in Scandinavian and Icelandic milk for evidence to either support or refute the claim that the A1 variant of B-casein is diabetogenic in adolescent populations. Based on the theory that differences in milk protein composition explain a lower incidence of Type 1 Diabetes (T1D) in Iceland when compared to surrounding Nordic countries, an informative poster was created so that a more educated decision can be made by those wishing to take preventative measures against the incidence of the disease. This paper includes a basic background behind the epidemiology of T1D and the Nordic Nutrition Recommendations. Next, comparison between milk protein composition and consumption in Iceland against the other Nordic countries is performed through an in-depth literature review. The review was conducted using PubMed databases until December of 2018. Key findings of this investigation raise concerns regarding the decision between optimizing milk producing rates or breeding for milk devoid of diabetogenic proteins. The current literature on the impact of cattle genetics on the protein composition of milk sheds light on the safety of Icelandic dairy and the resulting health of their population. Icelandic dairy has been evidenced to contain lower levels of A1 b-casein and is considered less diabetogenic. For these reasons, this author would recommend the consumption of Icelandic dairy products over those from other regions.
ContributorsThunberg, Carly Marie (Author) / Morse, Lisa (Thesis director) / Grgich, Traci (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Glucocorticoids are a class of corticosteroids that bind to glucocorticoid receptors
within cells that result in changes in the metabolism of carbohydrates and immune functions.
Ingesting glucocorticoids has also been linked to insulin resistance, a main feature of Type 2
diabetes. Experiments including polymerase chain reaction, western blotting, and glycogen
synthase analysis were conducted to determine if exposure to higher doses of dexamethasone, a
glucocorticoid, induces insulin resistance in cultured rat skeletal muscle via interaction with
thioredoxin-interacting protein (TXNIP). Treatment with dexamethasone was shown to cause
mild increases in TXNIP while a definitive increase or decrease in insulin signaling was unable
to be determined.
within cells that result in changes in the metabolism of carbohydrates and immune functions.
Ingesting glucocorticoids has also been linked to insulin resistance, a main feature of Type 2
diabetes. Experiments including polymerase chain reaction, western blotting, and glycogen
synthase analysis were conducted to determine if exposure to higher doses of dexamethasone, a
glucocorticoid, induces insulin resistance in cultured rat skeletal muscle via interaction with
thioredoxin-interacting protein (TXNIP). Treatment with dexamethasone was shown to cause
mild increases in TXNIP while a definitive increase or decrease in insulin signaling was unable
to be determined.
ContributorsCusimano, Jason A (Author) / Sweazea, Karen (Thesis director) / Reaven, Peter (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Diabetes mellitus impacts nations across the globe, and the incidence is increasing at an alarming rate, especially among low and middle income countries (World Health Organization, 2020). Mexico faces specific challenges in the diabetes epidemic that creates a disproportionate increase in premature mortality as well as healthcare costs (Arredondo & Reyes, 2013). The rural residents of Naco, Mexico face additional barriers related to healthcare access and education; these barriers elevate the importance of diabetes management and prevention strategies (Valenzuela et al., 2003). This paper will evaluate community-based diabetes interventions relevant to the Mexican community and identify characteristics of successful interventions. The health impact, role, structure, and development of community gardens in Naco will be evaluated using multiple community-based frameworks followed by clear translatable recommendations for stakeholders.
ContributorsBerns, Amber Marie (Author) / Murphy, Ana Orrantia (Thesis director) / Rascón, Aliria Muñoz (Committee member) / Edson College of Nursing and Health Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05