Life Sciences Commons^™

The Impact Of Athletic Retirement On Anxiety In Elite Athletes, A Critically Appraised Topic, Jordan Gorham, Emily Madrak

Journal of Sports Medicine and Allied Health Sciences: Official Journal of the Ohio Athletic Trainers Association

Though there is growing interest in athletic mental health, this interest appears to diminish significantly once an athlete enters athletic retirement. The abrupt transition can precipitate mental health struggles, exacerbated by the lack of adequate preparation for lifestyle after retirement and the attachment of athletic identity to their sport. Consequently, these circumstances may increase symptoms associated with poor mental health, with a specific focus on anxiety. As the athlete retires and moves into different stages of life, research notes that athletes with stronger athletic identities have poorer mental health than those who had weaker athletic identity^. While the scrutiny …

Comparing Position Specific Gps Normative Data In Professional Female Club Soccer, Andy Seraphin, Christi Edson, Cory Price, Barrett Jones, Amanda Jagielo, Justin Mullner

Journal of Sports Medicine and Allied Health Sciences: Official Journal of the Ohio Athletic Trainers Association

Objective: To establish normative ranges in common performance tests for professional women’s club soccer. Setting:1^st division professional women’s soccer club in the United States

Participants: Twenty-eight healthy professional women’s soccer players (Age: 27.8 ± 5.1 years; Body Mass: 66.2 ± 6.7 kg). Main Outcome Measures: Season GPS data was analyzed and metrics included minutes, total distance, high speed running, total accelerations, total decelerations, and maximum speed. Statistical analysis was performed to determine differences between positions. Results: Statistically significant differences were found across all metrics in comparison to overall mean. Differences in each metric may be due to a …

Developmental Effects On Zebrafish Embryos Exposed To Alcohol, Tamya Mchaney

Science University Research Symposium (SURS)

Zebrafish are a good organism model due to their similarities with human biology. The transparency of their embryos allows for an easier view to see the developmental stages of the embryos, and easily and accurately note any mutations or defects in any of the embryos. In addition, they make excellent candidates to track potential effects that mirror human embryos with ethanol and alcohol will have on their developmental stages. The aim of this study was to measure the genetic size developmental differences of the embryo’s lens, eyes, and heart that are given 1% alcohol and 2% alcohol. This study’s experimental …

Assessing The Role Of Social Media As A Complementary Source In Pharmacovigilance: Insights From Faers, X (Formerly Twitter), And Askapatient Data Across Multiple Drug Classes, Nwanneka Okere

Dissertations

Background: Adverse drug reactions (ADRs) pose significant public health challenges yet remain substantially underreported in traditional pharmacovigilance systems. Social media platforms and patient-reported outcome forums have emerged as potential complementary sources for capturing real-time patient experiences with medications, but their integration with established surveillance systems remains underexplored.

Purpose: This study examined ADR reporting patterns across FDA Adverse Event Reporting System (FAERS), X (formerly Twitter), and Askapatient to evaluate whether patient-generated digital data can complement traditional pharmacovigilance systems for enhanced drug safety monitoring.

Methods: An explanatory sequential mixed-methods design analyzed 107,753 reports representing 289,740 individual ADR occurrences for …

Pd-1 Blockade Induced Bone Loss Occurs In A T-Cell Dependent Manner And May Be Mediated By Ifnγ-Driven Osteoclast Activation, Elena Amonette, Paige M. Hill

Science University Research Symposium (SURS)

PD-1 Blockade Induced Bone Loss Occurs in a T-Cell Dependent Manner and May Be Mediated by IFNγ-Driven Osteoclast Activation

^†Elena Amonette¹, ^†Paige Hill¹, Gwenyth J. Joseph², Rachelle W. Johnson^2,3

¹Belmont University, Nashville, TN; ²Vanderbilt University, Nashville, TN; ³Vanderbilt University Medical Center, Nashville, TN

^†These authors contributed equally to this work

Immune checkpoint inhibitors (ICIs) are becoming increasingly prevalent in the treatment of various cancers due to their ability to reduce tumor mediated T cell death and lengthen the anti-tumor response. One such therapy that is increasingly utilized …

Bonita - Euthynnus Alletteratus Neurocranium, Daniella M. Acosta Reyes, Matthew Mcmanus, Morgan Michalek, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Longitudinal Trapping Reveals Differences In Small Mammal Diversity And Community Composition Between Agriculture And Shortgrass Prairie, Trevor Pellerite, Han Li

Biology Faculty Publications

Grasslands in the Great Plains face threats such as agriculture conversion, yet the long-term impacts of this shift on small mammal communities remain underexplored. Using a decade of trapping data from the National Ecological Observatory Network (NEON), we compared small mammal diversity and community composition between a native shortgrass prairie site and an active agricultural site in Colorado, United States. We found no significant difference in species richness between the two habitats; however, the shortgrass prairie exhibited significantly higher diversity. Community composition diverged substantially between sites. The prairie site was characterized by species such as Perognathus flavus, Reithrodontomys megalotis …

Seagrass Persistence In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly Kibler, Melinda Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_seagrasspersistence_IRL_LWL.shp was created with support from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL). The dataset presented herein represents persistence of seagrass throughout waters of the IRL and LWL.

11.10.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Sherilyn Hulugalla winds Biosafety and Biosecurity Month Challenge

An Integrated Ca–Markov Modeling Framework For Forecasting Land Use And Land Cover Dynamics In Arkansas, Usa, Rasool Vahid, Mohamed H. Aly

Environmental Dynamics Faculty Publications and Presentations

Land use and land cover (LULC) changes significantly shape urban environments and directly impact ecological and socioeconomic systems. This study aims to explore these interconnections by employing the Cellular Automata–Markov (CA–Markov) model to assess and predict LULC dynamics in Arkansas. Historical LULC datasets from 2001 to 2021, obtained from the National Land Cover Database, were simplified from 11 into 5 classes to facilitate analysis and effectively map transitions. The model was validated by predicting LULC for 2016 and 2021 and comparing the predictions with the real maps, achieving an overall accuracy of approximately 91.9%, using model validation metrics, including precision, …

Whole-Exome Sequencing-Based Linkage Analysis Of Multiple Myeloma (Mm) And Monoclonal Gammopathy Of Undetermined Significance (Mgus) Pedigrees, Alyssa I Clay-Gilmour, Nicola J Camp, Xiaomu Wei, Angel Earle, Aaron Norman, Jason Sinnwell, Delphine Demangel, Rosalie Griffin, Charles Dumontet, James Mckay, Ken Offit, Vijai Joseph, Siwei Chen, Daniel O'Brien, Vincent Rajkumar, Robert Klein, Shaji Kumar, Steve Lipkin, Celine M Vachon

Faculty, Staff and Student Publications

Background/objectives: Family history is a known risk factor for multiple myeloma (MM) and its precursor condition, monoclonal gammopathy of undetermined significance (MGUS). Previous genome-wide association studies (GWASs) have identified 35 common loci associated with MM risk and 21 associated with MGUS. The objective of this study was to identify less common and rare genetic loci predisposing to MM/MGUS through whole-exome sequencing (WES)-based linkage analysis.

Methods: Multipoint linkage analysis was conducted using the Multipoint Engine for Rapid Likelihood Inference (MERLIN) with the Lander-Green algorithm on germline WES data from 79 pedigrees with 2 or more affected relatives (120 MM, 86 MGUS, …

Correcting Class Imbalance Through Synthetic Training Data And 3d Modeling For Carabid Pitfall Trap Sampling, Blair Mirka

Geography ETDs

Crowdsourced biodiversity data provide an accessible foundation for large-scale ecological monitoring, but class imbalance limits automated species identification, particularly for rare taxa. This research explores the use of synthetic training data generated from 3D models of carabid beetle museum specimens to improve detection and classification performance for underrepresented species in crowdsourced datasets. High-resolution 3D models were created to simulate variation in lighting, orientation, and background. These synthetic images were incorporated into convolutional neural network training datasets at varying synthetic-to-real ratios to assess their impact on classification accuracy. Models were evaluated using controlled pitfall-trap imagery to examine the influence of scene …

Nanofiber-Enabled Rapid And Non-Destructive Sensors For Meat Quality And Shelf-Life Monitoring: A Review, Karna Ramachandraiah, Elizabeth M. Martin, Alya Limayem

Food Science Faculty Publications and Presentations

The meat industry faces significant economic losses and environmental impacts due to spoilage and waste, much of which results from inadequate, delayed, or inefficient quality assessment. Traditional methods used for assessing meat quality are often time-consuming, labor-intensive, and lack the ability to provide real-time information, making them insufficient for modern supply chains that demand safety, freshness, and minimal waste. Recent advances in nanotechnology position nanofibers (NFs) as promising materials for addressing these challenges through smart sensing and active packaging. NFs, characterized by their high surface-to-volume ratio, tunable porosity, and small diameter, enable superior encapsulation and immobilization of sensing agents. These …

Investigating Prognostic Features In High-Grade Serous Ovarian Cancer Through Gene Regulatory Network Inference With Single-Cell Transcriptomic Profiles, Toshiyuki Itai, Yulin Dai, Wendao Liu, Dung-Fang Lee, Zhongming Zhao

Faculty, Staff and Student Publications

This study aimed to identify prognostic features in high-grade serous ovarian cancer (HGSOC) through the application of gene regulatory network (GRN) inference with single-cell RNA-sequencing (scRNA-seq) profiles. To achieve this goal, we developed a workflow comprising scRNA-seq analysis, metacell construction, GRN inference, and a binary classification task for prognosis prediction. We curated 118,173 cells from HGSOC patients in three conditions (Before-chemotherapy, After-chemotherapy, and control samples) from previous studies, and then constructed 1,211 metacells. GRN inference analysis revealed 312 regulons, each consisting of one transcription factor and its targeted features. For prognosis evaluation, we used bulk RNA-seq data covering 342 HGSOC …

Genome-Wide Crispr Screens Identify Critical Targets To Enhance Car-Nk Cell Antitumor Potency, Alexander Biederstädt, Rafet Basar, Jeong-Min Park, Nadima Uprety, Rejeena Shrestha, Francia Reyes Silva, Merve Dede, John Watts, Sunil Acharya, Donghai Xiong, Bin Liu, May Daher, Hind Rafei, Pinaki Banerjee, Ping Li, Sanjida Islam, Huihui Fan, Mayra Shanley, Jingling Jin, Bijender Kumar, Vernikka Woods, Paul Lin, Silvia Tiberti, Ana Karen Nunez Cortes, Xin Ru Jiang, Inci Biederstädt, Patrick Zhang, Ye Li, Seema Rawal, Enli Liu, Luis Muniz-Feliciano, Gary M Deyter, Elizabeth J Shpall, Natalie Wall Fowlkes, Ken Chen, Katayoun Rezvani

Faculty, Staff and Student Publications

Adoptive cell therapy using engineered natural killer (NK) cells is a promising approach for cancer treatment, with targeted gene editing offering the potential to further enhance their therapeutic efficacy. However, the spectrum of actionable genetic targets to overcome tumor and microenvironment-mediated immunosuppression remains largely unexplored. We performed multiple genome-wide CRISPR screens in primary human NK cells and identified critical checkpoints regulating resistance to immunosuppressive pressures. Ablation of MED12, ARIH2, and CCNC significantly improved NK cell antitumor activity against multiple treatment-refractory human cancers in vitro and in vivo. CRISPR editing augmented both innate and CAR-mediated NK cell function, associated with enhanced …

Development Of A Targeted Bioprotac Degrader Selective For Misfolded Sod1, Christen G Chisholm, Rachael Bartlett, Mikayla L Brown, Emma-Jayne Proctor, Natalie E Farrawell, Jody Gorman, Fabien Delerue, Lars M Ittner, Kara L Vine-Perrow, Heath Ecroyd, Neil R Cashman, Darren N Saunders, Luke Mcalary, Jeremy S Lum, Justin J Yerbury

Faculty, Staff and Student Publications

The accumulation of misfolded proteins underlies a broad range of neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS). Due to their dynamic nature, these misfolded proteins have proven challenging to target therapeutically. Here, we specifically target misfolded disease variants of the ALS-associated protein superoxide dismutase 1 (SOD1), using a biological proteolysis targeting chimera (BioPROTAC) composed of a SOD1-specific intrabody and an E3 ubiquitin ligase. Screening of intrabodies and E3 ligases for optimal BioPROTAC construction reveals a candidate capable of degrading multiple disease variants of SOD1, preventing their aggregation in cells. Using CRISPR/Cas9 technology to develop a BioPROTAC transgenic mouse line, we …

Tackling The Burden Of Envenomation In Africa: Advances, Challenges, And Strategic Priorities For Enhanced Diagnosis And Treatment, Khawla Ammouch, Nihal Mesmoudi, Noureddine Hammani, Jacob Galan, Abdellah Moustaghfir, Reto Stöcklin, Naoual Oukkache

Human Genetics Publications

Venomous animal envenomation remains a significant but neglected public health problem worldwide, with an estimated 5.4 million cases and up to 138,000 deaths annually. The burden is particularly acute in tropical and subtropical regions, especially sub-Saharan Africa, where rural and vulnerable populations face limited access to effective antivenoms and healthcare. Despite this, comprehensive data on envenomation incidence, clinical management, and outcomes remain scarce, hampering efforts to develop effective prevention and treatment strategies. This review synthesizes current knowledge on venomous animal diversity, epidemiology, and clinical manifestations globally, with a focus on Africa’s unique challenges. We examine critical gaps in antivenom production, …

Data-Driven Modeling Of Dynamics And Adaptation In Mapk Pathway, Elisha Erzoah, Maria Emelianenko, Mariaelena Pierobon

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Kyda] The Role Of Human Movement On The Spread Of Mosquito-Borne Diseases, Omar Saucedo

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Exploring The Role Of Environmental Heterogeneity And Transmission In Mutualist Coexistence, Alexandra Campbell, Tom E.X. Miller

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Kyda] Biologically Grounded Surrogate-Driven Parameter Inference For Sparsely Observed Dynamical Systems, Joshua C. Macdonald

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Kyda] The Behavioral Spillover Effect: Modeling Behavioral Interdependencies In Multi-Pathogen Dynamics, Leah Lejeune, Omar Saucedo, Lauren M. Childs, Navid Ghaffarzadegan

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling Synaptic Dysfunction As Neural Contagion: A Graph-Based Sedr Framework For Simulating Signal Spread, Michelle Marfo, Dr. Padmanabhan Seshaiyer, Alonso Ogueda-Oliva

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Following Carbon: Pathway And Flux Representations Of Ecosystems, Caner Kazanci

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Immune Dysregulation In Covid-19: Mathematical Modeling Of The Within-Host Dynamics, Pagnapech Ngoun, Nicolas Alvarez, Ayesh Awad, Hwayeon Ryu

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Reev] Developing A Stage-Structure Stoichiometric Aquatic Tri-Trophic Food Chain Model, Ghislaine Niyodusenga, Cecilia Norris, Caroline Orza, Jing Li, Angela Peace, Greg Mayer, Rebecca A. Everett

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Mathematical Model Of Ovarian Cancer Tumor Growth In Mice, Jessica A. Hoffman

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Analyzing The Effect Of A Holling Type Iii Functional Response On Predator-Prey Dynamics, Lawrence G. Seminario-Romero, Richard Rebarber, Brigitte Tenhumberg

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Reconstructing Gene Regulatory Networks From Time-Series Data In Knime, Raina Robeva

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Model-Free Identification Of Relevant Variables And Modules From Response Data, Alan Veliz-Cuba, David Murrugarra

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.