Fine Arts

Authors: Jared K Bradshaw. Mentors: Brandon Ro. Insitution: Utah Valley University. This research seeks to analyze if there exists an understanding of structural design principles among untrained humans. Building forms and styles have evolved since the earliest structures. For thousands of years buildings were limited by naturally occurring materials. Designs of those periods reflected the structural principles of those materials. In the last few hundred years technological advances have provided structural methods which radically altered how buildings can be designed. An example is the difference in column spacing between historic and modern buildings, where the former has much tighter spacing due to natural material’s spanning limitations. To analyze the understanding of untrained humans an eye-tracking study was conducted using A.I.-3M-VAS eye-tracking software. This technology utilizes artificial intelligence to graphically display eye gaze sequences, patterns, and durations of focus. The software reflects the first few seconds of eye-tracking, providing insights into subconscious reactions before a logical response is formed. Images of structural elements were designed digitally to reflect a variety of forms, maintain cohesiveness, and remove visual variables. Each image was individually processed through the software providing isolated results. The results of the study show consistent patterns of focus on locations of structural significance, such as bearing points, connections, and material loads. The consistency by which these concepts received focus concludes that there is an innate human ability to locate structural methods of building. Of note the structural forms which adhered to the limits of natural materials registered different eye tracking patterns than the modern manipulated material forms. The historic methods displayed even tracking throughout the structure, whereas the modern methods created hot spots at the points of greatest structural significance. The differences further emphasizes that untrained people are not limited to just understanding familiar structural forms. This will allow for further research on the physiological effects between form types.

Authors: Jaiden Sherratt, Madison Ward, Alexandra Clements, Makenzie Vance, Christopher Furlow. Mentors: Julie Johnson Pynn. Insitution: Southern Utah University. Global identity is a concept once recognized by Maslow in 1954 as he said people “feel a kinship and connection, as if all people were members of a single family… Because of this, self-actualizing people have a genuine desire to help the human race.” Historically, it has been seen that this sense of global identity and citizenship can lead to great acts of kindness and empathy, as was the case with Chiune Sugihara who saved over 6000 Jews from Nazi oppression out of a sense of love for humanity (McFarland et al., 2013). It was also found that people with a strong global identity are more likely to be concerned about human rights and hold egalitarian views (McFarland et al., 2012). The research sought to answer the question, “Can images of global success or suffering affect subjects’ feeling of connection with humanity as a whole?” Through this research, we can better understand how positive or negative events impact people’s feelings of global citizenship. Participants will be recruited through the SONA system, as well as the researchers’ social media accounts, and a SUU portal announcement. Our main survey measure is the Identification With All Humanity scale. The scale is intended to measure an individual’s characteristics of concern for global issues and human rights, prosocial attitudes, intergroup forgiveness, and solving global problems (Hamer 2021). Participants were randomly assigned to one of two exposure conditions consisting of either 10 images of human success or 10 images of human suffering. Participants took the adapted IWAH survey, then were exposed to one of the two image sets for five second minimum per image, then took the adapted IWAH survey again to see if the images influenced their perception of global identity. After exposure, participants were asked “Did these images affect your feeling of connection with humanity? Why or why not? The images presented focused on issues of environmentalism. This research is currently in the phase of conducting the survey, and will close the survey gathering on November 1, 2023. Then the researchers will analyze the collected data to see if images of success or suffering influence global identity.

Authors: Megan DuVal, John Longino, Rodolfo da Silva Probst. Mentors: John Longino. Insitution: University of Utah. Army ants (Formicidae: Dorylinae) are top predators throughout most tropical and subtropical regions of the world. Their nomadic colonies and cooperative social hunting make them behaviorally and ecologically unique keystone species that are of conservation concern. Their status as nomadic top predators makes army ants vulnerable in areas affected by habitat fragmentation. An obstacle to conservation efforts is the outdated army ant species-level taxonomy, which hasn’t been updated since the 1950s for many genera. For Labidus, a widespread and ecologically important army ant genus in the Americas, there are currently seven valid species recognized solely based on morphology of workers and/or males. Three species are only based on males, which need to be associated with their respective workers, and within the four primarily worker-based species, there are likely cryptic species. To address these issues, we applied cutting-edge phylogenetics and phylogenomics to update the species-level taxonomy. To construct our phylogenetic tree, we used ultraconserved elements (UCEs, which use thousands of regions across the genome and can accurately infer evolutionary relationships across broad timescales) from 17 specimens, 66 COI barcodes from the Barcode of Life Database (BOLD), and 35 new COI barcodes obtained through in-house Nanopore sequencing. Through our analyses, we found that the genus Labidus contains at least 11 species and that all of the previously recognized wide-ranging species are made up of multiple cryptic species with more restricted ranges. We were able to associate all three previously identified male-based species with their respective workers. We have also found patterns of parallel and overlapping biogeography across multiple Labidus clades. Our UCE+Nanopore approach allows for an updated taxonomy of Labidus, leading to a better understanding of its evolutionary history and a better ability to promote its conservation.

Authors: A. Kalani Brubaker. Mentors: Nathan Crane. Insitution: Brigham Young University. Binder Jetting is an exciting form of Additive Manufacturing in which a binding agent is selectively deposited on layers of powder to bind the powder together and create a 3D printed part. It is notable for its wide range of materials, energy efficiency, and built-in supports. Much research has been done on how to achieve desirable properties of binder-jetted parts and post-processing, but the fundamental principles of binder-powder interaction and the effects of changing printing parameters are still not fully understood. This research aims to increase that understanding. Each binder-jetted part begins by depositing individual binder droplets in a straight line, and the binder-powder droplets coalesce to form a single line. Adjacent lines are then printed to form a cross-section of the part, the next layer of powder is applied, and the process continues until a 3D part is printed. If the spacing between the droplets is too large or the inter-arrival time too short, the droplets form spheres on the surface of the powder (a phenomenon called balling), and a continuous line is not formed. This research determines how continuous line formation is affected by droplet spacing, inter-arrival time, and controlled misting of the powder bed prior to printing. To examine the effects of these parameters, lines were printed in dry and prewetted powder beds while varying the spacing and inter-arrival time between droplets. The beds were then examined using an optical microscope to determine whether continuous lines were formed. The results were recorded on a graph of inter-arrival time versus droplet spacing, and the “boundary line” for successful line formation was found for each bed. The results showed that the boundary on the prewetted data exhibited a different relationship than dry powder beds, suggesting that a different binder-powder principle may dominate after prewetting. The prewetting also shifted the boundary upwards, making it possible to form continuous lines at higher droplet spacings and shorter inter-arrival times. This increased ability to form continuous lines has the potential to significantly increase the throughput of binder-jetted parts.

Authors: Spenser A Clark. Mentors: Acacia Overono. Insitution: Utah Valley University. It is not uncommon for a college student to see a list of learning objectives when skimming through a syllabus for a program or course. The goal of learning objectives is to set reasonable expectations for student learning and guide their study, as well as providing a framework for the development of teaching practices and assessment. Part of the inception of learning objectives as a means of organizing teaching and assessment in the classroom may be attributable to the Taxonomy of Educational Objectives, more commonly referred to as Bloom's Taxonomy. Another taxonomy similar to Bloom's, but much less well known, is the Structure of Observed Learning Outcome (SOLO) taxonomy. Bloom’s taxonomy organizes learning objectives into six categories: Remember, Understand, Apply, Analyze, Evaluate, and Create. The categories are structured as a cumulative hierarchy in which mastery of each level is assumed necessary for progressing to the next. The structure of Bloom’s is not derived from any specific learning theory, but a categorization of pre-existing learning objectives. Bloom’s therefore suffers from a lack of a strong theoretical foundation and may not accurately reflect how learning actually occurs. Additionally, although Bloom’s has been widely employed in the context of educational assessment, research has shown that it suffers from low interrater reliability and is inconsistent between educational contexts such as courses and topics. Unlike Bloom’s, SOLO is based upon Piaget’s Stage Development theory and categorizes learning into five distinct stages: Prestructural, Unistructural, Multistructrual, Relational, and Extended Abstract. SOLO does not suggest that learning is unidirectional or hierarchical. It also acknowledges internal cognitive processes rather than focusing solely on observable behaviors. Although very little research has investigated its reliability, it could be an attractive alternative to Bloom’s because it may more accurately reflect how learning occurs. The present work reviews the development and implementation of these two models and compares them.

Authors: James Wade, Chris Paul. Mentors: Nathan Usevitch. Insitution: Brigham Young University. Soft Robotics offer significant advantages when completing certain tasks compared to other robots and methods. Compliance, adaptability, and energy efficiency are a few of the major advantages. On the moon, where safety, volume and versatility are of high importance, soft robotics may find an innovative niche. NASA’s BIG Idea Challenge for 2024 incentivizes creating new innovative soft robot designs. Our research group is building our facility mentor, Nathan Usevitch’s, work at Stanford University. Doctor Usevitch and his cohort developed an octahedral, inflated robot composed of multiple tubes folded into triangular shapes in a truss-like structure. Each triangle consisted of a long inflatable tube and 3 motorized modules at the nodes of the triangle. The motorized nodes (consisting of a DC motor and rollers) roll along the length of the tube, lengthening one edge of the triangle while shortening the other. By attaching multiple triangles to each other in geometric shapes, flexible structures are created that can adapt their shape to the desired need. Because this system has a constant inflated volume, no external air compressor is necessary, allowing for untethered movement. The bulk of the mechanical work is performed by electric motors, providing a higher energy efficiency than a system of repeated inflation. Furthermore, this design is compactly stored when deflated, optimal for transport into space.To build on this design and optimize it for use on the moon, our research group will make the following changes and improvements:- Developing the physical prototype. This will enable robust and dynamic movement and the support of large loads- Develop a simulation tool that allows us to explore different configurations of the robot for different tasks- Develop a joint system that allows an astronaut to quickly reconfigure the triangles into different structures based on the required task - Develop a control approach that accounts for the underdamped dynamics of large inflatable structuresThrough our research, we hope to expand the possibilities of soft robotics. We are synthesizing the advantages of traditional robotics (robustness, untethered motion) with the unique strengths of soft robotics (flexibility, adaptability, cost efficiency).

Authors: Claudia Wiese, Josh Steffen, Heather Briggs, Rodolfo Probst. Mentors: Josh Steffen. Insitution: University of Utah. Evaluating effect of formic acid treatment on foraging behaviors of Apis mellifera through pollen DNA metabarcoding using the MinION deviceBees play a vital role in maintaining the health and productivity of terrestrial ecosystems by providing pollination to many of the world’s plants. In recent decades, many bee species, including Apis mellifera (European honeybee), have experienced worldwide population declines.Varroa destructor, an external parasite, is one of the leading causes of honeybee population declines, as they are the primary cause of colony collapse disorder.Various methods exist to control the impact of V. destructor, including Formic Acid (FA) treatment, a well-documented solution to reducing V. destructor numbers. Yet, despite clearly established evidence that A. mellifera behaviors are very sensitive to changes in their hive environment, very few studies have looked at the effect of FA on honeybee foraging behavior. DNA metabarcoding is a powerful tool allowing ecologists to quantitatively assess differences in diet within species without the need for extensive knowledge of pollen taxonomy or complicated fieldwork experiments.In this study, A. mellifera hives (n=7) were split into control (n=3) and treatment groups (n=4). Pollen samples were collected from all hives before, during, and after FA treatment to compare if FA application impacted the foraging patterns of the bees in the treated colonies as compared to the control group. To compare foraging patterns between the treatments, we performed metabarcoding using the trnL (UAA) chloroplast intronic region, commonly used to barcode plant species. Amplicons were subsequently sequenced with a portable sequencer (ONT MinION Mk1C). Basecalling, quality check, demultiplexing, and filtering of the data were conducted with Guppy and Medaka. Obtained sequences (n=120 reads) were compared to a reference database with BLAST to determine the sequence identity of visited plants. With this information, we plan to compare absolute foraging numbers, species, and related ratios between control and experimental hives. Most sequences were assigned with a high percentage identity to a sample database (>89%), Although certain species (e.g., Malus sylvestris [European crab apple] and Prunus avium [wild cherry]) were probably visited by all hives, our preliminary findings show that pollen loads differ between control and experimental conditions, indicating a variation in floral visitation.These results suggest that FA treatment, while effective at controlling V. destructor, may impact honeybee foraging patterns. Further research is needed to understand if this behavioral change is detrimental to the health of the colony, and the consequences of variation in floral visitation to pollination networks.

Authors: Brett Pickett, Lincoln Sutherland, Jacob Lang. Mentors: Brett Pickett. Insitution: Brigham Young University. Introduction: Breast cancer is one of the most prevalent types of cancer present in society today, and is the second leading cause of cancer death for women. Approximately 13% (1 in 8) of women will develop invasive breast cancer, with 3% of women (1 in 39) dying from this type of cancer. Three important classifications used when formulating a treatment plan for breast cancer are the presence or absence of Estrogen Receptor (ER), Progesterone Receptor (PR), or Hormone Receptor (HR). Treating Estrogen Receptor Positive (ER+) breast cancer with aromatase inhibitors, such as Letrozole, is the current standard treatment for all postmenopausal women. A prior study by Lee et. al. identified PRR11 as the only gene that was significantly overexpressed in resistant vs non-resistant cancers among the 51 genes in chromosome arm 17q23. The goal of the current study is to perform a secondary analysis of this valuable dataset to identify genes, signaling pathways, and biomarkers across the whole human transcriptome that are significantly associated with treatment resistance in ER+ patients.Methods: We retrieved, preprocessed and analyzed 58 ER+ breast cancer samples from patients who had been treated with Letrozole, which are publicly available in the NCBI Gene Expression Omnibus (GEO) database. The Automated Reproducible MOdular Workflow for Preprocessing and Differential Analysis of RNA-seq Data (ARMOR) was used to process our data downloaded from NCBI. This workflow trimmed low quality reads from the RNA-sequence reads, mapped and quantified our data to generate a DEG list. Gene ontology enrichment with camera was also performed. Next, the genes were mapped to common gene identifiers and input to the signaling pathway impact analysis (SPIA) algorithm to identify intracellular signaling pathways that were enhanced by our DEGs. With that information, Pathway2Target was used to identify known drug targets within our identified pathways. Finally, a decision tree-based machine learning approach was used to predict features/expressed genes that could be used to most accurately classify responders vs nonresponders to Letrozole. Results: Our comparison of 36 responders versus 22 non-responders detected a total of 18,735 genes and identified 105 that were statistically significant (p-value < 0.05) after applying a false-discovery rate (FDR) correction, including SOX11, S100A8/S100A8, and IGLV3-25. We then used the Signaling Pathway Impact Analysis (SPIA) algorithm to determine whether any known intracellular signaling pathways were significantly enriched in DEGs (Bonferroni-adjusted p-value < 0.05). This analysis identified 4 pathways that were statistically significant in Non-Responders to Letrozole Treatment. We then used the pathway results to predict 60 existing therapeutic targets that could be repurposed to treat the resistance phenotype. Notably, the predicted targets for the non-response phenotype included VEGFA, a current target for solid tumors as well as ESR1, an Estrogen Receptor. We next wanted to determine whether we could predict transcriptional biomarkers that could aid with identifying patients that do not respond to treatment. To do so, we used the read counts for all samples as the input for this analysis and identified 278 transcriptional biomarkers. Performance metrics for all biomarkers identified yielded an area under the receiver-operator characteristic (AUROC) curve of 0.972 (Figure 2), indicating an exceptional ability to classify Letrozole responders vs non-responders by the transcriptional profile. Sensitivity for all transcriptional biomarkers was measured at 100%, and specificity at 94%. We used the top two biomarkers from our first analysis as input for a second analysis to determine the performance of a smaller subset. Our second analysis determined that PRDX4 and E2F8 together yielded an AUROC of 0.823 and an overall accuracy of 88.2%. Discussion:Our results identify additional DEGs, pathways, targets and biomarkers for further exploration in the treatment and categorization of ER+ breast cancer.

Authors: Eden Beazer, Aubree Bench, Ethan Jones, Jared Carter. Mentors: Jeffrey Tessem. Insitution: Brigham Young University. Incidence of diabetes worldwide has grown from 108 million people in 1980 to 422 million people in 2014, nearly tripling in just thirty-four years. Type 2 diabetes (T2D) is characterized by the loss of pancreatic beta cell mass and the failure of the remaining beta cells to provide adequate insulin. Contributing to the development of T2D is glucolipotoxicity (GLT), a condition characterized by the harmful elevation of glucose and fatty acid levels within beta cells. While there are existing treatments for symptoms of diabetes, much remains to be understood about its underlying causes and effective preventative measures. Flavonoids are naturally occurring phenolic compounds found in many fruits and vegetables that have various anti-inflammatory health benefits. Previous studies suggest that epicatechin, a flavonoid present in cocoa, can reduce the effects of diabetes by diminishing insulin desensitization and increasing glucose stimulated insulin secretion (GSIS). Interestingly, the bioavailability of epicatechin is poor, while its metabolites are more easily absorbed in the small intestine. Further studies demonstrated that under non-stressed conditions in beta-cells, hippuric acid, homovanillic acid, and 5-phenylvaleric acid, metabolites of epicatechin, stimulate insulin secretion at concentrations more realistically found in the body. However, the effects of these metabolites in glucolipotoxic conditions are unknown. Here, we present the effects of epicatechin and its metabolites hippuric acid, homovanillic acid, and 5-phenylvaleric acid on beta cell insulin secretion and mitochondrial respiration under GLT culture conditions. This study aimed to contribute to the limited body of knowledge on the bioactivity of flavonoid metabolites on beta cell function under damaging conditions observed with T2D, offering crucial insights for developing effective strategies to harness the health benefits associated with flavonoids.

Authors: Porter Bischoff, Kody Garrett, Clayton Rawson. Mentors: Britt Wyatt, Josh Premo. Insitution: Utah Valley University. This research delves into the underexplored territory of medical experiences and their potential impact on undergraduate students' motivation in STEM courses. While prior studies have focused on factors like gender and ethnicity in STEM, little attention has been given to the influence of medical experiences and chronic conditions on STEM students, despite evidence suggesting that students with medical conditions face unique challenges in completing their degrees.Our study specifically investigates the effects of medical experiences and chronic conditions on students enrolled in science classes at an open enrollment institution. We hypothesize that increased academic interruptions due to medical experiences may lead to decreased science motivation, reduced sense of belonging, self-efficacy, and self-determination.Data was collected from 390 students across 14 biology courses, including non-majors, at a teaching-focused institution, both before and after the courses. Surprisingly, 57% of surveyed students reported having a medical experience, and 22% reported having a chronic condition, highlighting the significance of this identity within the student population.As anticipated, students experiencing more medical interruptions exhibited a notable decrease in their sense of belonging and self-efficacy, albeit with a small effect size. Intriguingly, students with medical experiences who engaged more with science demonstrated significantly higher levels of science immersion and motivation. This suggests that medical experiences can influence student engagement with science, both positively and negatively. The impact of these interruptions on a student's academics is closely linked to their sense of belonging and self-efficacy. However, if medical experiences drive increased engagement with science, students may find themselves more motivated to explore these experiences within the context of scientific inquiry.Understanding how medical experiences can shape students' motivation is essential as science instructors adapt their course content and pedagogy to be more inclusive, embracing the diverse identities within their student population.

Authors: Zach Fiore. Mentors: Jared Nielsen. Insitution: Brigham Young University. Gait apraxia is a type of apraxia that affects lower limb use in walking. It is characterized by difficulty initiating gait, freezing of gait, and other gait disturbances that cannot be attributed to complications affecting sensory, motor, or cerebellar function, psychiatric disease, nor ataxia. Symptoms often present following brain trauma. Previous research has indicated that gait apraxia may be linked to lesions in the frontal lobes, basal ganglia and supplementary motor area. However, the specific cerebral location has been debated with minimal research done on the symptom’s implicated neural circuits. The purpose of this study is to determine the networks in the brain that are involved in the pathophysiology of gait apraxia. To determine this, we used the lesion network mapping method. A systematic literature review was performed, with specific inclusion criteria, to find case studies of patients presenting with gait apraxia stemming from acquired brain injury (n=15). Lesion network mapping analysis (Fox et al., 2018) was performed on 15 cases with a large cohort of healthy control resting-state scans (n=1000). The analysis showed that lesions exhibited functional connectivity to the bilateral medial dorsal and pulvinar nuclei of the thalami (n=15), which supports previous associations of basal ganglia damage contributing to gait apraxia. A novel region, the cingulate cortex (n=15), was also found to be functionally connected to the lesion networks. This region is a part of the cingulo-opercular network, responsible for many functions, including action. This network has recently been found to display strong functional connectivity with the somato-cognitive action network, responsible for coordinating movements with cognitive processes. Further research is necessary to determine the mechanism of how these networks interact in contributing to gait apraxia.

Authors: Mikayla Kimball, Noah Bezzant, Ashley Allan, Josh Sponbeck. Mentors: Brent Feland. Insitution: Brigham Young University. Ultrasonic analysis of patellar tendon thickness in active older athletesBACKGROUND: Recent research has suggested that patellar tendon loading through exercise and resistance training can help maintain and increase patellar tendon thickness in older adults. Limited research exists that identifies the average thickness of patellar tendons in younger athletes, however, it is unknown if this thickness remains or is maintained in older adult athletes who have maintained a very active lifestyle.PURPOSE: This study aimed to determine how gender correlates to patellar tendon thickness in the proximal and middle patellar tendon of active older athletes participating in sporting events at the Huntsman World Senior Games.METHODS: Data was collected from 59 volunteers (participants in the Huntsman WorldSenior Games) in St. George, Utah, 2022. All subjects (34 females: mean age = 61.09 ± 7.00 yrs, Ht = 162.41 ± 25.73 cm, Wt= 66.29 ±11.38 kg; 25 males: mean age = 68.68 ± 7.03 yrs, Ht = 178.21 ± 8.63 cm, Wt= 84.42±10.90 kg) signed an approved consent form and then sat on a treatment table with their legs relaxed and dangling off. The probe was placed vertically below the kneecap and an ultrasonic image was taken. Each image showed a small section of the patellar for reference. Each ultrasonic measurement showed the middle and proximal thickness of the patellar tendon. ANALYSIS: All data were analyzed using JMP ver16.2 with a stepwise multiple regression analysis to determine the effect of age, height, wt and gender on patellar tendon thickness. A sex*location mixed model was used to determine differences in middle and proximal thickness between gender. Data were normally distributed, not requiring transformation.RESULTS & CONCLUSIONS: Proximal tendon measurements were thicker than middle tendon measurements on both sides (p=0.0001). There was no significant difference either proximal tendon thickness (p=0.9323) or middle tendon thickness (p= 0.3993) between left and right sides. No significant difference between male and female tendon thickness at either location (p=0.7700). Proximal tendon thickness was greater and this has been found to be greater in younger athletes with a history of patellar tendinopathy. Aging athletes may also have a history of knee pain episodes that could have contributed to this finding. The lack of gender differences in thickness measures was surprising, but may be a result of the level of activity of senior athletes. In the future studies should look to compare active vs non-active aging athletes, more specific age range differences, and how knee replacements and other injuries affect patellar tendon thickness.

Authors: Caroline Cowley, Megan Jewell, Brenda Mendoza, Aubrey Cluff, Ryan Summerhays, Jason Hansen. Mentors: Jason Hansen. Insitution: Brigham Young University. Approximately 8 million newborns manifest a birth defect every year worldwide. One of the most common birth defects involve disruptions in musculoskeletal development. Oxidative stress has been found to propagate teratogenesis. Thioredoxin-1 (Trx1), an oxidoreductase, is an important antioxidant regulator required for proper embryonic development. Trx1 knockouts have been found to be embryolethal prior to implantation. A preliminary study to assess osteogenesis was conducted using mouse embryonic fibroblasts (MEFs) originating from transgenic conditional Trx1 knockout embryos. Upon confluence, MEFs were stimulated to undergo osteogenesis via commercially available media. A subset of cells were treated with doxycycline (DOX) prior to and throughout the culture period. MEFs were maintained over a 21 day period in a reduced oxygen environment. MEFs were then fixed in formalin and stained with Alizarin red to determine the degree of osteogenesis. MEFs treated with DOX were unable to undergo proper osteogenesis. While this would suggest that osteogenesis is regulated through proper functions of Trx1, it is unknown how Trx1 regulates osteogenesis in utero. Because Trx1 deletion is lethal prior to implantation it has been historically difficult to study the role of Trx1 during organogenesis. With the development of the DOX-inducible Trx1 conditional knockout mouse, we can now target specific developmental periods and evaluate post-implantation processes like osteogenesis. Using proper transgenic mice and breeding schemes, DOX-inducible Trx1 conditional knockout embryos were treated in utero with DOX through the dam’s drinking water, starting on gestational day (GD) 8.5. The embryos were collected on GD 16.5, fixed in 95% ethanol, and then skinned. To visualize bone and cartilage, the embryos were placed in ethanol and subsequently stained with Alizarin red and Alcian blue. The staining showed that embryos lacking Trx1 were significantly stunted in their skeletal maturation. With this data, we are the first to show that during organogenesis, the musculoskeletal system is affected by deletions of Trx1 at specific periods of development. Under oxidizing conditions which exceed the capacity of the oxidoreductase pathway of Trx1, Trx1 exists primarily in its oxidized form and can no longer reduce proteins that have been turned off by oxidation. Our Trx1 deletions model a highly oxidized state in which Trx1 is dysfunctional. Because regulatory redox control of protein activity is required for proper embryonic development, exposure to oxidizing environmental conditions specifically affecting Trx1 redox state may target the disruption of the musculoskeletal system.

Authors: Drew Allred, Vern Hart. Mentors: Vern Hart. Insitution: Utah Valley University. Surgery remains one of the most common and effective treatments for a variety of cancers, especially those that form solid, localized tumors such as breast and colorectal cancers. During these treatments, the palpable lesion is surgically resected with the assumption that cancerous cells have metastasized to nearby tissues. As such, surgeons will excise a tissue margin surrounding the tumor in hopes of removing any additional cancer, thus preventing further spread of the disease. However, this process is time-consuming and requires specialized expertise from a trained pathologist to verify that all cancer has been removed. Furthermore, if the pathology report indicates that not all cancerous cells have been extracted, additional follow-up visits and surgeries are typically required. In recent years a number of non-invasive technologies have been developed which seek to map cancerous cells in whole tissues. Training and validating these methods still requires a reliable ground truth, typically provided by an annotated pathology report. We propose a simpler model in which two cell species were co-cultured to provide a heterogeneous training sample. One of these species (PANC-1) was transfected with a vector coding for a fluorescent marker to represent healthy tissue, while the other species (COS-7) remained untreated, representing cancerous cells. An experiment was then conducted using a coherent diffraction imaging (CDI) system, in which laser light incident on the cells was used to quantify phase shifts produced by each cell type. Fluorescent microscopy was then used to create a map of transfected and non-transfected cells for comparison. Results will be presented demonstrating a correlation between the phase shifts produced by the two cell types and the corresponding fluorescent images, potentially facilitating optical cell identification without the need for pathology.

Authors: Isaac Stubbs, Skyler Russell, Melissa Blotter, Maxwell Holmes. Mentors: Ryley Parrish. Insitution: Brigham Young University. Status Epilepticus (SE) is a severe medical condition marked by continuous seizures lasting over 5 minutes. When SE becomes resistant to anticonvulsant drugs, the condition is known as Refractory Status Epilepticus (RSE), which lacks effective treatments and has a mortality rate of 38%. RSE lacks effective treatments partially due to our limited understanding of the mechanisms that lead to patient drug resistance to commonly used anticonvulsants. This study aims to address this knowledge gap in two pivotal ways.First, we have employed a high-density multi-electrode array (HD-MEA) with acute mouse brain slices to better understand RSE propagation patterns and various seizure states with unparalleled spatial precision. The HD-MEA allows us to record from the entire brain slice with 4096 electrodes sampling electrophysiological activity at every 60 micrometers for many hours at a time. Our data demonstrates that different seizure states, such as phasic seizure-like events, short duration epileptic discharges, or RSE itself, occur within both the same brain region and in different brain regions simultaneously. With our novel data visualization software, we can visualize the unique propagation of this phenomenon. These findings indicate that RSE might be a progressive event, challenging conventional understanding of RSE. Second, we are currently exploring a potential pharmacoresistance mechanism that may contribute to the patient entering RSE, which suggests that changes in the chloride reversal potential may lead to a phenomenon known as depolarizing GABA. Depolarizing GABA may negate the effectiveness of the currently used antiepileptic drugs that rely on standard physiological chloride conductance to effectively limit seizure activity. We are studying this drug resistant mechanism with the HD-MEA by introducing anticonvulsant drugs to acute mouse brain slices during the evolution of RSE to locate a critical point at which the slice becomes resistant to these compounds.We hope this study will illuminate the complexities of RSE by revealing its progressive nature and drug resistant properties.

Authors: Hunter Morrill, Ryley Parrish. Mentors: Ryley Parrish. Insitution: Brigham Young University. Spreading depolarizations (SDs) are slow propagating waves of depolarization that move through the brain and have been associated with a wide variety of neuropathologies including the termination of seizures, the cellular correlate of aura in migraines, traumatic brain injury, and ischemic stroke. Though first characterized by Aristides Leão in the 1940s, only a very limited understanding of the mechanisms of SD induction has been achieved. SDs have been induced in mouse models using a variety of techniques, however regardless of the method of induction, high extracellular potassium and/or a strong cellular depolarization have been largely hypothesized as necessary conditions for SD induction. Interestingly, we have recently demonstrated that using a light-induced chloride pump (Halorhodopsin) to drive chloride ions into the neurons can reliably induce SDs even in the absence of high extracellular potassium levels (Parrish, 2023). It was also demonstrated that the triggering of archaerhodopsin, which removes protons from the cell and therefore hyperpolarizes the neuronal membrane without affecting chloride levels, did not induce SDs, suggesting the implication of chloride loading as a primary mechanism in SD induction. This challenges the prevalent hypothesis regarding the induction of SDs and results in a novel method of induction that allows for more characterization of the mechanisms involved. The use of genetically expressed light-gated ion channels or pumps is referred to as optogenetics. Using zebrafish, a common model for electrophysiology recordings that is also cost-effective to genetically manipulate, we have established an optogenetically induced model of SD induction. We are currently characterizing mechanisms that result in optogenetically induced SDs with pharmacology to further our understanding of SD initiation and propagation.Parrish, R. R.-G.-T. (2023). Indirect Effects of Halorhodopsin Activation: Potassium Redistribution, Nonspecific Inhibition, and Spreading Depolarization. The Journal of neuroscience: the official journal of the Society for Neuroscience, 43(5), 685-692.

Authors: Noah Bezzant, Mikayla Kimball, Ashley Allan. Mentors: Brent Feland. Insitution: Brigham Young University. BACKGROUND: General knee pain is a common complaint among both athletes and older adults. Osteoarthritis is a common etiology for knee pain that can interfere with function during aging and can be assessed by validated questionnaires. It remains unclear whether there exists a dose–response relationship between cartilage loss and pain worsening. Articular cartilage thickness of the femoral condyles can be measured by ultrasound imaging and few studies utilizing this form of measurement exist. It is currently unknown if articular cartilage thickness measured ultrasonographically correlates with pain related ratings in aging athletes. PURPOSE: The aim of this study was to assess whether articular cartilage thickness at the femoral condyles as measured by ultrasound imaging has any relationship to knee pain as rated by the modified KOOS (Knee Injury and Osteoarthritis Outcome Score) survey in senior athletes over the age of 50.METHODS: Data was collected from 35 volunteers (participants in the Huntsman World Senior Games) in St. George, Utah, 2023. All subjects (22 females: mean age = 64.9 ± 6.6 yrs, Ht = 158.7 ± 35.6 cm, Wt= 66.3 ± 10.0 kg; 13 males: mean age = 67.3 ± 8.3 yrs, Ht = 179.3 ± 10.7 cm, Wt= 84.3 ± 13.4 kg) signed an approved consent and completed a modified KOOS survey before being seated on a table, with their back flattened against the wall directly behind them. They were then asked to bring either knee as deeply into flexion against their torso as possible; approximating 120°-140° of knee flexion, depending on the range of motion the subject was capable of. In flexion, the patella was shifted inferiorly enough to expose the femoral condyles so that a short axis image of the articular cartilage was obtained and the thickness of the cartilage was assessed at 3 points.ANALYSIS: All data were analyzed using JMP ver16.2 with a Pearson product pairwise correlations to determine if a relationship between average cartilage thickness correlates with pain subscale scoring from the KOOS in males and females. Correlation between age and thickness was also examined.RESULTS AND CONCLUSION: There were no significant correlations between the pain subscale score and cartilage thickness in males (p=.6998, r=0.1316), females (p=.8733, r=0.0392), or combined (p=.7308, r=0.0655) in this group of senior athletes. Age and thickness was not significantly correlated (p=.1232, r= -0.2877), but did show a trend of decreasing cartilage thickness with age. The addition of more subjects should show age and thickness to be negatively correlated with each other.

Authors: Sofia Denise Flowers. Mentors: Lauri Linder. Insitution: University of Utah. Background and Purpose: In the year 2023, roughly 9,000 children will be diagnosed with cancer each year in the United States. Dealing with a potentially fatal diagnosis is already difficult for many grown adults, let alone a young child. The aim of this project is to describe caregiving experiences of parents and children with cancer as related through feedback comments within written and oral feedback to proposed items to measure self-efficacy for managing their child’s symptoms and behaviors used to manage their child’s symptoms.Methods: This project involved a secondary analysis of qualitative data from 21 parents (19 mothers; mean age 38 years) of school-age children with cancer who participated in a study to establish the content validity of instruments to measure aspects of symptom management. Data consisted of interview transcripts and free responses to the content review surveys. The data were then uploaded to Dedoose. My mentor and I worked independently to identify statements pertaining to parents’ experiences in managing their child’s symptoms and responding to the child’s cancer diagnosis. We then met together to reconcile content and then organize parents’ statements into categories and subcategories. Results: 101 excerpts were extracted from the transcripts and included for the secondary analysis. Excerpts were grouped into four main categories: informational resources, social support, emotional support, and medication management Within these four main categories, subthemes of professional staff support, managing child attitude and mood changes, and balancing between being a parent and their child’s medical advocate were present. Conclusion: The insights gained from this project can guide the information healthcare providers need to provide better care to the child and additional support to parents. This can allow professional staff to get a stronger understanding of not just the family’s medical needs but their informational, social, and emotional needs as well.

Authors: Ishmael Elliott Molina-Zepeda, Brandt Jones, Myke Madsen, Douglas Sborov, Brian Avery, Nicola J. Camp . Mentors: Nicola J. Camp. Insitution: University of Utah. Multiple Myeloma (MM) is a malignancy of plasma cells and one of the more common hematological malignancies (6.3/100,000 new cases/year). Although treatments have improved, most patients fail their first line of treatment and ultimately do not survive beyond 5 years. Identifying patients at high risk of failing treatment early is a critical need. SPECTRA is a statistical technique developed by the Camp Lab to characterize global gene expression (the transcriptome) by representing it as multiple quantitative tumor variables. Spectra variables allow gene expression to be incorporated into predictive modeling to identify high-risk groups.Transcriptome data for myeloma cells was available from 768 patients in the international CoMMpass study where 39 spectra variables were derived. Each patient has a value for each of the 39 variables (their spectra “barcode”); patients can be compared for each bar in the barcode. Predictive modeling using spectra variables was successful in identifying risk groups for time to treatment failure, such that a patient’s tumor transcriptome can be used to predict whether they are at high risk of having their treatment fail earlier.To replicate the CoMMpass data findings, we collect and process local biological samples from MM patients at the Huntsman Cancer Institute (HCI). We collect bone marrow samples, which are then cell-sorted to identify tumor (CD138+) cells. RNA is extracted from these cells and sequenced to generate transcriptome data. Then the spectra barcode is calculated.Utilizing the SPECTRA technique provides a more complete understanding of MM by better characterizing the tumor. Each spectra is a tumor characteristic. Our future research includes an investigation of whether inherited variations (in normal DNA from saliva or whole blood) are associated with the transcriptome risk score. We are also pursuing the SPECTRA technique in several other cancers.

Authors: Danielle Terry, Seth Helton, Michael Creer. Mentors: Austin M Green. Insitution: University of Utah. With anthropogenic influence increasing worldwide, it is important to understand how wildlife behavior changes in response to urbanized landscapes. Urban ecosystems represent relatively novel landscapes with unique threats and opportunities that can completely restructure species’ population composition and dynamics. Mule deer (Odocoileus hemionus) have been shown to alter their temporal activity in response to urbanization across their range of the Intermountain West of the United States. In this study, we will investigate the effects of anthropogenic influence on mule deer temporal activity behavior across two distinct life stages: fawning and non-fawning. Data for this study will come from the citizen science camera trapping project, Wasatch Wildlife Watch. The full project area is separated into two study sites: “Rural” and “Urban”. This study will be based around the wild-to-urban interface of the Central Wasatch Mountain Range and the Bear River Mountain Range, which composes some of the most highly recreated portions of the Uinta-Wasatch-Cache National Forest, receiving approximately 9,000,000 visitors annually (U.S Forest Service). We will investigate the proposed differential effects of anthropogenic influence and urbanization on mule deer diel activity patterns in the fawning vs. non-fawning life stages. Also, we will inquire whether intraspecific responses in mule deer diel activity alter interspecific interactions, especially with fawning predators, and how these responses might interact with environmental factors. We predict that anthropogenic influence and urbanization alter the diel activity patterns of fawning mule deer more than non-fawning deer and that the presence and activity of fawn predators (e.g., coyote [Canis latrans]) would have a stronger effect on fawning deer activity than non-fawning deer activity.