2:45 PM Biology Breakout IV: Panel E
Thursday, July 28 2:45PM – 3:45PM
Location: Catalyst
Shukuru Rushanika
University of Northern Colorado
Presentation 1
Effects of Berberine and Exercise on CD8+ T cell Proliferation
Patients diagnosed with autoimmune disorders are seeking complementary and alternative medicine (CAM) in the hopes of symptom relief (Winter & Korzenik,2017). For decades, Berberine has been a popular CAM of choice due to its immunological and metabolic benefits, which are attributed to its ability in affecting biochemical pathways (Och & Nowak,2020). However, the action of berberine in combination with exercise has not been elucidated. Our research question is as follows; does berberine in combination with physical activity have a compound pro-immune effect. Our expectations are as follows, Berberine with a combination of exercise will provide evidence of immune inhibition specifically in the context of T-lymphocyte cells.
Alexis Cordle
Siena Heights University
Presentation 2
West Nile Virus in Midwestern County and Physical Therapy Techniques
Neurological complications can arise from the mosquito-borne disease, West Nile virus (WNV). Some infected individuals experience neurological complications, such as stiffness, disorientation, muscle weakness, and paralysis. This research studied the prevalence of WNV in Culex mosquitos in a midwestern county and examined how physical therapy can lead to rapid recovery for patients affected by WNV. Though WNV is not a common disease, it is a reemerging one affecting individuals across the world every year. Through the help of physical therapy, individuals with neurological issues recover quicker compared to individuals with no assistance. Physical therapy helps aid the infected individuals to have the highest functional mobility outcome possible, allowing these individuals to return to their everyday lives quicker and healthier. New physical therapy techniques are being studied in order to have the most successful outcome for patients with neurological complications. This study will discuss and examine those techniques.
Brian Johnson
Kent State University
Presentation 3
Changes in the Internal to External Workload Ratios over 8 Days of Repeated Exercise Bouts
This project seeks to evaluate an external workload, as measured through total work, relative to internal workloads, as measured through. Recently, the ratio between internal and external workloads has been used to identify an athlete's risk for injury, however, many other relationships influence an athlete’s performance and risk of injury, most notably, the high acute to chronic workload ratios. The acute to chronic workload ratio is a correlation between how much of a specific workload has been done in the last 7 days compared to the average workload done weekly over the last 28 days. Our investigational methods aim to examine how different measures of internal workload relate to the external workload over the course of 8 days of repeated exercise bouts. To examine this question we will monitor and assess the maximal volume of oxygen consumption at least 48 hours prior to the study. Then, participants will return to the lab and lay in a supine resting state to record their heart rate, before consuming a small snack. Next, participants will cycle for 90 minutes at a 60% workload while heart rate, VO2, and RPE are assessed. These values will be used to predict the total work the participants complete during the 90 minutes of exercise.
Dennis Green
Southern Nazarene University
Presentation 4
West Nile Virus Surveillance and Forecast In Oklahoma
West Nile Virus (WNV) is a seasonal arboviral disease characterized by a febrile illness and, in rare cases, results in a neuroinvasive syndrome. WNV is propagated in an enzootic cycle between mosquitoes and birds and transmitted to humans by a bite of an infected Culex mosquito. In Oklahoma, WNV is considered endemic, and three major outbreaks in 2003, 2007, and 2012 have been recorded. Coupled with seasonal variation in mosquito abundance and the complexity of the transmission, WNV outbreaks are difficult to predict. Additionally, limited surveillance creates a need for accurate forecast models that can inform public health practices and prevent disease outbreaks. In this study, we focus on validating Arbovirus Monitoring and Prediction (ArboMAP), a statistical data-driven model to predict human cases of WNV in Oklahoma. ArboMAP utilizes mosquito surveillance data to calculate WNV mosquito infection rates and combines it with environmental variables and historical human cases in a generalized additive model to predict human cases. The output is a weekly county-level risk map forecasting the chance of at least one human WNV case for a given week. ArboMap has the potential to benefit public health applications by providing an early-warning system against mosquito-borne outbreaks.