Skin cancer diagnoses and deaths continue to increase every year. With basal cell carcinoma (BCC) being the most common type of skin cancer diagnoses, establishing protective measurements against it are important. Surprisingly, sunscreen may not be as effective at protecting against basal cell carcinoma as it is for another non-melanoma type of skin cancer: squamous cell carcinoma. This paper aims to identify some differences between the two non-melanoma type cancers to find probable reasons sunscreen may be more effective at protecting against one over the other, as well as to find new solutions to protect against basal cell carcinoma. The results conclude that basal cell carcinoma does have UV-induced pathogenesis, in which case sunscreen is protective; however, it also revealed the need for ingredient studies and more sunscreen efficacy studies to determine other BCC pathogenesis pathways. Lastly, aided by dermatologist interviews, current interventions were established in order to provide greater protection against skin cancer. These include reforming the way commercials portray sunscreen to better educate the public about proper application and re-application, genetic testing for high-risk BCC markers, and an emphasis on sun education to the mothers of children.

Telehealth is the use of information and communications technology by healthcare professionals to provide care to patients. When this technology is being used specifically for genetic services, it is called telegenetics. Previous studies that examine the small-scale use of telegenetics for the field of genetic counseling have shown that the technology may provide a way to address the problem of patient access to genetic counseling services, assuming its efficacy. Patients are satisfied with telegenetics, but genetic counselors hold more reservations. Because of this and the many regulatory barriers in its way, telegenetics was only slowly being adopted when the coronavirus was declared a pandemic in March 2020. The pandemic forced a switch to telegenetics at a scale never seen before. This study begins with a literature review to assess the situation of telegenetics before and during the pandemic. It then surveys practicing genetic counselors in Arizona in order to reveal what they think about telegenetics when it is the encouraged, and sometimes only, modality. Since the literature review revealed that genetic counselors, not patients, are the ones with concerns, it is important to hear their points of view. This study reveals that genetic counselors want telegenetics as an option but not as a replacement for in-person appointments. All respondents agreed that increased patient access is the main benefit of telegenetics. There are reported challenges that must be overcome, but genetic counselors in Arizona overwhelming believe that telegenetics use will be continued in the future.

People of color, and more especially Black Americans, make up a minuscule portion of annual National Park visitation. This podcast is a look into the prejudiced history surrounding the formation of the national parks, the modern theories surrounding continuing lack of park diversity, and personal accounts of where the movement for outdoor equality is going and where your support should go. This all culminates into a project that aims to understand why this statistic exists as it is and present it through podcast.

Bermuda Land Snails make up a genus called Poecilozonites that is endemic to Bermuda and is extensively present in its fossil record. These snails were also integral to the creation of the theory of punctuated equilibrium. The DNA of mollusks is difficult to sequence because of a class of proteins called mucopolysaccharides that are present in high concentrations in mollusk tissue, and are not removed with standard DNA extraction methods. They inhibit Polymerase Chain Reactions (PCRs) and interfere with Next Generation Sequencing methods. This paper will discuss the DNA extraction methods that were designed to remove the inhibitory proteins that were tested on another gastropod species (Pomacea canaliculata). These were chosen because they are invasive and while they are not pulmonates, they are similar enough to Bermuda Land Snails to reliably test extraction methods. The methods that were tested included two commercially available kits: the Qiagen Blood and Tissue Kit and the Omega Biotek Mollusc Extraction Kit, and one Hexadecyltrimethylammonium Bromide (CTAB) Extraction method that was modified for use on mollusk tissue. The Blood and Tissue kit produced some DNA, the mollusk kit produced almost none, and the CTAB Extraction Method produced the highest concentrations on average, and may prove to be the most viable option for future extractions. PCRs attempted with the extracted DNA have all failed, though it is likely due to an issue with reagents. Further spectrographic analysis of the DNA from the test extractions has shown that they were successful at removing mucopolysaccharides. When the protocol is optimized, it will be used to extract DNA from the tissue from six individuals from each of the two extant species of Bermuda Land Snails. This DNA will be used in several experiments involving Next Generation Sequencing, with the goal of assembling a variety of genome data. These data will then be used to a construct reference genome for Bermuda Land Snails. The genomes generated by this project will be used in population genetic analyses between individuals of the same species, and between individuals of different species. These analyses will then be used to aid in conservation efforts for the species.

Food insecurity is a major issue within the United States. Millions of households experience limited food availability, especially in regions deemed food deserts. Food deserts are geographical regions across the United States that possess limited access to grocery stores or supermarkets, and thus limited access to healthy food options. Individuals living in food deserts are at an increased risk of developing a mental illness, including depression, bipolar disorder, Alzheimer’s Disease, and Attentional Deficit Hyperactivity Disorder (ADHD). Mental health is often associated with one’s environment or genetic susceptibility, and treatments are often focused on psychotherapeutic methods and prescription medication. In investigating food deserts and diets characteristic of food deserts, one can begin to make connections between food and mental health. Dietary patterns that exhibit greater concentrations of fats and sugars are associated with many of the symptoms of common mood disorders and are significant in producing biological indicators, like inflammation, which is identified in various neurodegenerative disorders. Brain foods like vitamins and omega-3 fatty acids among others, provide a unique lens into the ways the food and the brain interact, specifically through a concept termed the gut-brain axis. Research surrounding these connections, especially in a newer field called nutritional psychiatry, inform the ways in which researchers, scholars, and medical professionals understand mental health and food insecurity. These connections may also prompt future research in the field focused on food-based treatments and the use of food as a preventative form of medicine.

Hundreds of thousands of people die annually from malaria; a protozoan of the genus Plasmodium is responsible for this mortality. The Plasmodium parasite undergoes several life stages within the mosquito vector, the transition between which require passage across the lumen of the mosquito midgut. It has been observed that in about 15% of parasites that develop ookinetes in the mosquito abdomen, sporozoites never develop in the salivary glands, indicating that passage across the midgut lumen is a significant barrier in parasite development (Gamage-Mendis et al., 1993). We aim to investigate a possible correlation between passage through the midgut lumen and drug-resistance trends in Plasmodium falciparum parasites. This study contains a total of 1024 Anopheles mosquitoes: 187 Anopheles gambiae and 837 Anopheles funestus samples collected in high malaria transmission areas of Mozambique between March and June of 2016. Sanger sequencing will be used to determine the prevalence of known resistance alleles for anti-malarial drugs: chloroquine resistance transporter (pfcrt), multidrug resistance (pfmdr1) gene, dihydropteroate synthase (pfdhps) and dihydrofolate reductase (pfdhfr). We compare prevalence of resistance between abdomen and head/thorax in order to determine whether drug resistant parasites are disproportionately hindered during their passage through the midgut lumen. A statistically significant difference between resistance alleles in the two studied body sections supports the efficacy of new anti-malarial gene surveillance strategies in areas of high malaria transmission.

In mid-March of 2020, Arizona State University transformed one of its research labs into ASU Biodesign Clinical Testing Laboratory (ABCTL) to meet the testing needs of the surrounding community during the COVID-19 pandemic. The lab uses RT-qPCR, or reverse transcription polymerase chain reaction, to match the components of a biosample to a portion of the SARS-CoV-2 genome. The ABCTL uses the TaqPath™ COVID-19 Combo Kit, which has undergone many different types of efficacy and efficiency tests and can successfully denote saliva samples as positive even when an individual is infected with various emerging strains of the SARS-CoV-2. Samples are collected by volunteers at testing sites with stringent biosafety precautions and processed in the lab using specific guidelines. As the pandemic eventually becomes less demanding, the ABCTL plans to utilize the Devil’s Drop-off program at various school districts around Arizona to increase testing availability, transfer to the SalivaDirect method, and provide other forms of pathogen testing to distinguish COVID-19 from other types of infections in the ASU community.

In females, critical hormonal shifts occur during puberty, menstruation, pregnancy, and <br/>menopause. The fluctuating ovarian hormone levels across a woman’s lifespan likely contribute <br/>to inflammatory responses driven by the immune system, which is regulated by a variety of <br/>physiological pathways and microbiological cues. Pregnancy in particular results in drastic <br/>changes in circulating hormone profiles, and involves a variety of physiological changes, <br/>including inflammatory responses of the immune system. There is evidence that these effects are <br/>mediated, in part, by the significant hormone fluctuations that characterize pregnancy and <br/>postpartum periods. This thesis highlights and synthesizes important physiological changes <br/>associated with pregnancy, and their potential implications on cognitive and brain aging in <br/>women. A tertiary model of cognition is presented depicting interactions between hormonal <br/>history, reproductive history, and immune functions. This research is important to create a better <br/>understanding of women’s health and enhance medical care for women throughout pregnancy <br/>and across reproductive hormone shifts across the lifespan.

Colorimetric assays are an important tool in point-of-care testing that offers several advantages to traditional testing methods such as rapid response times and inexpensive costs. A factor that currently limits the portability and accessibility of these assays are methods that can objectively determine the results of these assays. Current solutions consist of creating a test reader that standardizes the conditions the strip is under before being measured in some way. However, this increases the cost and decreases the portability of these assays. The focus of this study is to create a machine learning algorithm that can objectively determine results of colorimetric assays under varying conditions. To ensure the flexibility of a model to several types of colorimetric assays, three models were trained on the same convolutional neural network with different datasets. The images these models are trained on consist of positive and negative images of ETG, fentanyl, and HPV Antibodies test strips taken under different lighting and background conditions. A fourth model is trained on an image set composed of all three strip types. The results from these models show it is able to predict positive and negative results to a high level of accuracy.