Digital Commons Network^™

Hydration Strategies In Ultra-Endurance Running: A Narrative Review Of Programmed Versus Thirst-Driven Approaches, Shawn C. Wierick, Rosie I. Perez, Xiujing Zhao, Brendon P. Mcdermott

Health, Human Performance and Recreation Faculty Publications and Presentations

Background/Objectives: Ultra-endurance running (UER) presents unique hydration challenges due to prolonged duration, variable terrain, environmental extremes, and gastrointestinal limitations. Athletes often use either programmed fluid intake (PFI), which prescribes fluid volumes based on estimated sweat rate, or thirst-driven fluid intake (TDFI), which relies on internal cues. This review examines the effectiveness and limitations of each strategy in the context of UER performance and safety. Methods: A narrative review was conducted using a targeted selection of peer-reviewed studies. Both laboratory- and field-based research were included to evaluate the physiological rationale, practical feasibility, and outcomes associated with PFI and TDFI. A total …

Preclinical Efficacy Of Tasquinimod-Based Combinations In Advanced Myeloproliferative Neoplasms In Blastic Phase, Warren Fiskus, Lucia Masarova, Christopher P Mill, Christine E Birdwell, Kaberi Das, Hanxi Hou, John A Davis, Antrix Jain, Anna Malovannaya, Taghi Manshouri, Andrew Dunbar, Surbhi Sharma, Tapan M Kadia, Courtney D Dinardo, Prithviraj Bose, Naveen Pemmaraju, Sanam Loghavi, Xiaoping Su, Raajit K Rampal, Marie Törngren, Kapil N Bhalla

Faculty, Staff and Students Publications

The alarmins, S100A8 (A8) and S100A9 (A9), are low molecular weight proteins belonging to the S100 protein family. A8 and A9 are secreted into the extracellular space and plasma, in which they interact with Toll-like receptor 4, receptor for advanced glycation end products, and CD33. In these studies, we determined the preclinical efficacy of tasquinimod (TQ) against advanced myeloproliferative neoplasm (MPN) cell lines and patient-derived (PD) CD34+ blastic phase (BP; >5% blasts in the peripheral blood) MPN cells. TQ induced loss of viability in cell lines and PD MPN-BP cells, but not in normal CD34+ progenitor cells. In TQ-treated PD …

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 …

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 …

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.

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, …

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 …

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 …

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, …

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 …

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.

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.

Self-Assembly And Self-Folding Models Of Viral Capsids, John R Jungck

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

The Effect Of High-Intensity Interval Training On Visceral Adipose Tissue In Type 2 Diabetes: A Systematic Review, Ivan D. Delgado, Julio C. Delgado, Ryan D. Burns

International Journal of Exercise Science

International Journal of Exercise Science 18(5): 1321-1333, 2025. https://doi.org/10.70252/YEUF2363 Visceral adipose tissue (VAT) is a significant contributor to insulin resistance in type 2 diabetes (T2D). The effectiveness of time-efficient high-intensity interval training (HIIT) in reducing VAT has not been reviewed. A systematic search conducted on PubMed, Embase, and SPORTDiscus up to April 2025 for randomized controlled trials that compared HIIT with non-exercise control and quantified VAT using imaging identified five trials (n = 138) that met inclusion criteria. Risk of bias was assessed using a nine-item modified PEDro scale. Four trials reported significant reductions in VAT after 8-12 weeks of …

Effects Of A Personalized Fitness Program Provided By Undergraduate Exercise Science Students On Attitudes Toward Exercise, Mental Health, And Quality Of Life, Kris M. Cleveland, Jacob Fike, Scott Peterson

International Journal of Exercise Science

International Journal of Exercise Science 18(4): 1334-1343, 2025. https://doi.org/10.70252/IYNS6043 Personalized fitness training is designed to improve physical health and fitness, but may also promote mental health and well-being. The purpose of this study was to determine whether there are positive psychological outcomes for clients participating in a community-based personalized fitness program led by undergraduate Exercise Science students. A total of 44 participants completed a battery of psychological scales both before and after participation in a 12-week university-sponsored personalized fitness training program. Psychological measures included the Exercise Attitudes Scale, Self-Efficacy Scale for Exercise, Short Warwick-Edinburgh Mental Well-Being Scale, Health Status Questionnaire, …

[Kadel] Robust Basins, Fragile Attractors: A New View On Boolean Network Dynamics, Claus Kadelka

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Kadel] Modular Control Of Boolean Network Models, Elena Dimitrova, David Murrugarra

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.