Medicine and Health Sciences Commons^™

Effects Of Cerebral Tumor Necrosis Factor Alpha On Systemic Glucose Homeostasis In Obese Mice, Gabriela Griepp

Honors Projects

Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by impaired blood glucose regulation and persistent hyperglycemia. The central nervous system functions as a key regulator in the maintenance of peripheral normoglycemia. Obesity, commonly associated with T2DM, often leads to chronic inflammation in the hypothalamus, a critical brain center for integrating metabolic feedback and controlling outputs to peripheral organs. However, the physiological mechanisms through which obesity-induced brain inflammation affects glucose regulation remain somewhat unclear. Previous studies have linked one key pro-inflammatory cytokine, tumor necrosis factor alpha (TNF-α), to metabolic function and glycemic control; however, the exact nature of its …

Nurse Led Staff Education Program For Workplace Stress Reduction, Ebony Sudduth

Walden Dissertations and Doctoral Studies

This doctoral project evaluated the impact of a staff education program aimed at increasing healthcare workers' awareness of workplace stress dangers among teammates in an outpatient hemodialysis center. The identified practice issue was limited knowledge about the facilitators, adverse outcomes, and resources related to occupational stress in healthcare. Lack of education regarding the risks of work-related stress presents a critical concern in nursing practice, significantly affecting caregiver well-being and patient outcomes. Nurses, particularly in high-pressure environments such as hemodialysis centers, often experience unrecognized and unmanaged emotional and physical demands, leading to chronic stress and burnout. Hemodialysis nurses are especially susceptible …

Career Impact Of The National Interprofessional Fellowship In Patient Safety: An Alumni Evaluation, Bradley V Watts, Kathleen Carluzzo, Blake F Webb, Kelley Arredondo

Faculty, Staff and Students Publications

Background: There has been a proliferation of health professions training programmes focused on quality and patient safety, but little information regarding the outcomes of these programmes. The purpose of this study was to examine the impact of an interprofessional quality and patient safety curriculum on career outcomes of interprofessional healthcare learners for the Veterans Affairs Patient Safety Fellowship.

Method: We conducted a survey-based assessment of 117 alumni of the Interprofessional Fellowship in Patient Safety assessing their satisfaction with the training program and career impacts.

Results: 84 of 117 alumni were located and participated in the assessment. Fellows entered the training …

Importance Of Outbreak Response Research In Bridging Knowledge Gaps On Emerging Infectious Diseases, Robert F Breiman, David Wang, Michael Diamond, Adrianus C M Boon, Et Al.

2020-Current year OA Pubs

An important outcome of the devastating 2014 West African Ebola virus disease outbreak and the 2020 COVID-19 pandemic has been the growing promotion of conducting research during outbreaks of emerging infectious diseases (EIDs) as a valuable and acceptable process of acquiring knowledge to enhance our ability to better prevent and control these diseases in the future. Recognising the unique opportunity during outbreaks to leverage increases in cases over a short time interval and in a circumscribed area, we articulate a systematic process of conducting EID outbreak response research, highlighting knowledge gaps that should be prioritised, and measures that can be …

Motionteller: Multi-Modal Integration Of Wearable Time-Series With Llms For Health And Behavioral Understanding, Aiwei Zhang, Arvind Pillai, Andrew Campbell, Nicholas C. Jacobson

Computer Science Senior Theses

As wearable sensing becomes increasingly pervasive, a key challenge remains: how can we generate natural language summaries from raw physiological signals such as actigraphy - minute-level movement data collected via accelerometers? In this work, we introduce MotionTeller, a generative framework that natively integrates minute-level wearable activity data with large language models (LLMs). MotionTeller combines a pretrained actigraphy encoder with a lightweight projection module that maps behavioral embeddings into the token space of a frozen decoder-only LLM, enabling free-text, autoregressive generation of daily behavioral summaries.

We construct a novel dataset of 54,383 ⟨actigraphy, text⟩ pairs derived from real-world NHANES recordings, and …

Atrial Fibrillation In An Elite Athlete: Continuous Ecg Monitoring Guiding Therapy And Return To Play., Sean M Muir, Anne R Albers, Kanny Grewal, Auroa G. Badin

Heart and Vascular Articles

BACKGROUND: The diagnosis of atrial fibrillation (AF) is increasing among elite athletes. This case highlights the novel use of an implantable loop recorder to guide treatment decisions for AF in an elite soccer player.

CASE SUMMARY: A 25-year-old professional soccer player who had received a diagnosis of asymptomatic AF during routine screening underwent cardioversion and continuous monitoring with an implantable loop recorder. A rising AF burden prompted ablation.

DISCUSSION: This case demonstrates the potential utility of advanced monitoring technologies for managing AF in athletes, particularly when symptoms are absent or minimal. Additional studies are needed to confirm whether continuous monitoring …

Building Models, Building Capacity: A Review Of Participatory Machine Learning For Hiv Prevention, Mark Sendak, Meg Young, Jee Young Kim, Alifia Hasan, Clare Kelsey, Catherine O’Neal, Tonya Jagneaux, Wayne Wilbright, John Couk, Stephen Lim, Tamachia Davenport, Shirley Lolis, Jennifer Thomas, Shannon Widman, Suresh Balu, Meredith Clement, Lance Okeke

School of Medicine Faculty Publications

A growing number of researchers and practitioners are embracing a “participatory turn” in machine learning (ML) to improve model development, prevent harm, and provide communities more influence over systems that impact them. In this paper, we explore the intersection of participatory practices in healthcare and the emerging focus on responsible AI with a focus on human immunodeficiency virus (HIV) care. We review the historical context of participation in HIV treatment and prevention, emphasizing how patient activism has shaped practices in this field. We then review participatory ML in HIV prevention and present a brief case study of a project designed …

Nonstructural Roles Of Junctophilin-2 In The Heart, Daniel F Hutchison, Satadru K Lahiri, Kurt W Prins, Xander H T Wehrens

Faculty, Staff and Students Publications

Junctophilin-2 (JPH2) is an essential structural protein that maintains the integrity of junctional membrane complexes (JMCs) in cardiomyocytes, thereby playing its canonical role in excitation-contraction (E-C) coupling. Recent studies reveal novel, nonstructural functions of JPH2 in cardiomyocytes, including regulation of mitochondrial function, lipid metabolism, nuclear signaling, and innate immune responses. Calpain-mediated cleavage of JPH2 generates nuclear fragments, which differentially modulate stress responses. Moreover, full-length JPH2 also localizes to the nucleus, where it forms phase-separated nuclear droplets during oxidative stress. Collectively, these findings highlight JPH2 as a multifunctional protein with critical roles beyond its canonical structural function in E-C coupling.

Oxygen Saturation Targeting In The Neonatal Intensive Care Unit, Faeq Almudares, Bheru Gandhi, Jonathan Davies, Xanthi Couroucli, Natalie Villafranco, Nidhy Paulose Varghese, Milenka Cuevas Guaman, Charleta Guillory, Binoy Shivanna

Faculty, Staff and Students Publications

Oxygen (O2) is vital for cellular development, function, proliferation, and repair, underscoring its critical role in organogenesis. Both hypoxia (reduced tissue O2) and hyperoxia (excess tissue O2), when prolonged, can trigger inflammation and oxidative stress, contributing to acute and long-term cardiopulmonary and neurodevelopmental morbidity. In sick neonates, immature defense mechanisms and coexisting morbidities demand nuanced and sometimes opposing strategies for O2 saturation targets and therapeutic titration. Most current neonatal O2 targeting guidelines are based on animal models or small clinical studies, resulting in recommendations with limited evidence. This narrative review aims to provide an updated overview of the physiological roles …

Impact Of Sociodemographic Determinants On Enrollment Into Contemporary Lymphoma Clinical Trials: A Systematic Review, Jun Yang Jiang, Ang Li, Alexis Romero, Christopher R Flowers, Chijioke Nze

Faculty, Staff and Students Publications

While the incidence and survival associated with lymphoma have improved in recent years, outcome disparities related to sociodemographic factors such as age, sex, race, ethnicity, socioeconomic status (SES), and other social determinants of health (SDOH) remain prevalent in the modern era. Clinical trials are crucial for further improving outcomes, yet not all sociodemographic groups are equally represented in contemporary lymphoma trials. We conducted a systematic review of the literature evaluating the impact of SDOH on enrollment into clinical trials in the United States and identified 21 relevant studies. We confirmed that Black and Hispanic individuals are underrepresented in lymphoma clinical …

Telehealth And In-Person Hiv Care During The Covid-19 Pandemic At A Large Academic Medical Center In North Carolina, Valerie Yelverton, Jan Ostermann Ph.D., Michael E. Yarrington, Andrew K. Weinhold, Nabil Natafgi, Bankole Olatosi, Sharon Weissman, Nathan M. Thielman

Faculty Publications

Background

To maintain HIV care during the COVID-19 pandemic, many HIV clinics across the United States adopted telehealth. However, not everyone participated in telehealth equally. This study assessed the use and disparities in telehealth and in-person HIV care at a large academic medical center in North Carolina (NC) relative to the COVID-19 pandemic.

Methods

Data from the Duke University Infectious Disease clinic in NC were extracted from electronic health records (EHR), aggregated across persons with HIV (PWH) by calendar month, visit type (in-person vs. telehealth HIV care), and by key sociodemographic and clinical characteristics. Variation in HIV care over time …

177lu-Labeled Antibody-Drug Conjugate: A Dual-Mechanistic Treatment Modality In Solid Tumors, Aiko Yamaguchi, Chisato M Yamazaki, Yasuaki Anami, Summer Y Y Ha, Wei Xiong, Robert T Ta, Ningyan Zhang, H Charles Manning, Zhiqiang An, Kyoji Tsuchikama

The Brown Foundation: Institute of Molecular Medicine

To explore the potential of site-selectively radiolabeled antibody-drug conjugates (ADC) against solid tumors, we constructed and evaluated radiolabeled ADCs equipped with lutetium-177 (177Lu) and a membrane-permeable antimitotic agent. Site-selective 177Lu-labeled ADCs [anti-trophoblast cell-surface antigen 2 (TROP2) 177Lu-DTPA ADCs or anti-HER2 177Lu-DO3A ADCs], a 177Lu-labeled homogeneous radioimmunoconjugate (homogeneous RIC), and 177Lu-labeled conventional RIC (heterogeneous RIC) were constructed. We confirmed that 177Lu-labeled ADCs and the homogeneous RIC were obtained with high homogeneity and defined chelator/payload-to-antibody ratios. Next, we performed biodistribution studies and treatment efficacy studies in xenograft mouse models bearing orthotopic breast tumors. Compared with the heterogeneous RIC, the 177Lu-DTPA TROP2 ADC …

Antifungal Efficacy And Flexural Strength Of Silver Nanoparticles Reinforced Cad/Cam And Heat-Cured Pmma Polymers: An In-Vitro Study, Himanshi Aggarwal

All ETDs from UAB

Background: PMMA denture base resins have high propensity for C. albicans growth. Previous studies have found that silver nanoparticle (SNP) addition into conventional PMMA resin improves fungal resistance without interfering with its flexural strength. Recently, CAD/CAM dentures have become highly popular, but they are also prone to fungal in-growth. However, little is known about the effect of addition of silver nanoparticles in CAD/CAM printed PMMA resin material. Objective: To compare the effect of the addition of cytocompatible concentration (1 µm/ml) of SNP on the antifungal efficacy and flexural strength of CAD/CAM printed and heat-cured PMMA polymers. Materials and methods: A …

Race, Resources, And American Adolescents’ Mental Health During The Covid-19 Pandemic, Chineze Nkemeh

Walden Dissertations and Doctoral Studies

During the COVID-19 pandemic, African American adolescents experienced reduced access to needed resources and may have suffered poorer mental health outcomes as a result. The purpose of this quantitative study was to examine the association between race and the availability of mental health resources, food, medical health resources and mental health outcomes among African American adolescents in the United States during the COVID-19 pandemic compared to their White counterparts. The theoretical framework that grounded this study was the Socio Ecological Model. Secondary data from the Centers for Disease Control and Prevention’s Adolescent Behaviors and Experiences Survey database were analyzed. These …

Nitrate And Nitrite Levels In Cattle Feed, Drinking Water, Rumen Content, And Blood Methemoglobin Levels In Burdur Province Of Türkiye, Reyda Kiyici, Hasan Altan Akkan, Mehmet Karaca, Esra Zeybek, Bayram Kudret Karaayvaz, Fi̇rdevs Mor Savaş, Yahya Öztürk, Asim Kart, Ramazan Yildiz, Murat Bayezi̇t

Turkish Journal of Veterinary & Animal Sciences

This study was conducted to determine the risk factors associated with nitrate/nitrite poisoning in cattle in the Burdur region. Feed and water samples were collected from 10 different farms randomly selected from 9 districts. A total of 33 feed samples, 13 water samples, 21 rumen contents, and 20 blood samples were collected for analysis. Nitrate and nitrite levels in feed, drinking water, and rumen fluid, as well as methemoglobin levels in blood samples, were determined using a spectrophotometric method. The average nitrate and nitrite levels in feed samples were 3.06 mg/kg and 3.54 mg/kg, respectively. The mean nitrate and nitrite …

Assessment Of Water Quality Among Handwashing And Drinking Water Stations In Schools In Belize, 2022, Anh N Ly, Alexandra Kossik, Ary Sosa, Uriel Sosa, Dian Maheia, Yolanda Gongora, Russell Manzanero, Francis Morey, Melissa Diaz-Musa, Dennis Nichols, Adrianna Maliga, Kelsey Mcdavid, Christina Craig, Gerhaldine Morazan, Matthew Lozier, Kristy O Murray

Faculty, Staff and Students Publications

Water quality assessments are critical for ensuring timely responses to water-related concerns, particularly in low-resource areas with limited water, sanitation, and hygiene (WASH) infrastructure. In collaboration with the Belize Ministry of Health and Wellness and the Ministry of Education, Culture, Science and Technology, we conducted a survey on WASH infrastructure and resources among 221 schools. We identified 65 schools across all six districts of Belize for water quality testing. Among these 65 schools, 83% had at least one water sample that did not meet the WHO's recommended free chlorine residual level for drinking water. Additionally, coliforms and Escherichia coli were …

Eph Receptors Activate Myeloid Checkpoint Receptor Lilrb5 To Support Tumor Development, Yubo He, Chengcheng Zhang, Lingxiao Tan, Mi Deng, Xiaoye Liu, Ryan Huang, Xing Yang, Jingjing Xie, Qi Lou, Meng Fang, Caroline Smith, Samuel John, Wei Xiong, Xin Li, Cheryl Lewis, Jade Homsi, Ankit Gupta, Ningyan Zhang, Zhiqiang An, Cheng Cheng Zhang

Faculty, Staff and Student Publications

Immunosuppressive myeloid cells are critical obstacles to T cell-centered immune checkpoint blockade therapies, which have been successful in treating a fraction of patients with cancer. How tumor cells interact with myeloid cells to regulate immune responses and tumor development is unclear. In this study, we report that certain membrane tyrosine kinase Eph receptors, including EphA7 and EphB1, specifically bind the immune inhibitory receptors leukocyte Ig-like receptor family B 5 (LILRB5) and LILRB2. These Eph receptors induce LILRB5-mediated signaling activation, and LILRB5 also activates Eph receptor signaling. Activation of LILRB5 promoted immunosuppressive marker expression and inhibited activating marker expression on myeloid …

Kaiso Mediates Transcription And Rna Splicing In Colorectal Carcinoma: Role Of Brca1 In The Kaiso Enhanceosome, Weifeng Luo, Manish Kumar Tripathi, Qi Liu, Lei Chen, Robert W. Cowan, Juliet M. Daniel, Chi Yan, Ann Richmond, Albert B. Reynolds

School of Medicine Publications

Kaiso (ZBTB33) is a transcription factor involved in mitotic clonal expansion and tumorigenesis in association with Adenomatous Polyposis Coli (APC) loss of heterozygosity. ENCODE data show strong overlap of the Kaiso promoter-binding site—encode-derived Kaiso-binding site (eKBS) and many other transcription factors, including BRCA1. Here we sought to determine whether BRCA1 is a component of the Kaiso enhanceosome that regulates gene transcription. Using proximal ligation assays, immunoprecipitation followed by mass spectrometry, luciferase assays and ChIP-seq experiments, we evaluated the association between BRCA1 and Kaiso. Kaiso nuclear extract immunoprecipitation experiments revealed that Kaiso associates strongly with genes involved in RNA splicing and …

Polygenic Scores For Obstructive Sleep Apnoea Reveal Pathways Contributing To Cardiovascular Disease, Nuzulul Kurniansyah, Satu J Strausz, Geetha Chittoor, Shreyash Gupta, Anne E Justice, Yana Hrytsenko, Brendan T Keenan, Brian E Cade, Brian W Spitzer, Heming Wang, Jennifer Huffman, Matthew R Moll, Bernhard Haring, Su Yon Jung, Laura M Raffield, Robert Kaplan, Jerome I Rotter, Stephen S Rich, Sina A Gharib, Traci M Bartz, Peter Y Liu, Han Chen, Myriam Fornage, Lifang Hou, Daniel Levy, Alanna C Morrison, Heather M Ochs-Balcom, Bruce M Psaty, Peter W F Wilson, Kelly Cho, Allan I Pack, Hanna M Ollila, Susan Redline, Daniel J Gottlieb, Tamar Sofer

Faculty, Staff and Student Publications

Background: Obstructive sleep apnoea (OSA) is a common chronic condition, with obesity its strongest risk factor. Polygenic scores (PGSs) summarise the genetic liability to phenotype and can provide insights into relationships between phenotypes. Recently, large datasets that include genetic data and OSA status became available, providing an opportunity to utilise PGS approaches to study the genetic relationship between OSA and other phenotypes, while differentiating OSA-specific from obesity-specific genetic factors.

Methods: Using race/ethnic diverse samples from over 1.2 million individuals from the Million Veteran Program, FinnGen, TOPMed, All of Us (AoU), Geisinger's MyCode, MGB Biobank, and the Human Phenotype Project, we …

Olaparib And Radiotherapy Induce Type I Interferon- And Cd8+ T Cell-Dependent Sensitization To Immunotherapy In Pancreatic Cancer, Victoria M Valvo, Qiang Zhang, Long Jiang, Erin A Holcomb, Ashley N Pearson, Anna G Edmunds, Hailey G Faulkner, Jadyn G James, Akshay Tate, Amanda K Huber, Zhuwen Wang, Yupei Guo, David Karnak, Leslie A Parsels, Joshua D Parsels, Yu L Lei, Alnawaz Rehemtulla, Heng Lin, Eileen S Carpenter, Daniel R Wahl, Vaibhav Sahai, Theodore S Lawrence, Michael D Green, Meredith A Morgan

Faculty, Staff and Student Publications

PARP inhibitors sensitize pancreatic ductal adenocarcinoma (PDAC) to radiation by inducing DNA damage and replication stress. These mechanisms also have the potential to enhance radiation-induced type I interferon (T1IFN) mediated anti-tumoral immune responses. We hypothesized that the PARP inhibitor olaparib would also potentiate radiation-induced T1IFN to promote anti-tumor immune responses and sensitization of otherwise resistant PDAC to immunotherapy. To test this hypothesis, we assessed the effects of olaparib and radiation on T1IFN production and sensitivity to αPD-L1 immunotherapy, as well as on the tumor microenvironment by single-cell RNA sequencing (scRNA-seq). We found that olaparib enhanced T1IFN production following radiation and …

Lmp7-Specific Inhibitor M3258 Modulates The Tumor Microenvironment Of Triple-Negative Breast Cancer And Inflammatory Breast Cancer, Xuemei Xie, Jangsoon Lee, Ganiraju C Manyam, Troy Pearson, Gina Walter-Bausch, Manja Friese-Hamim, Sheng Zhao, Julia Jabs, Angela A Manginelli, Nadine Piske, Thomas Mrowiec, Corinna M Wolf, Bharat S Kuntal, Debu Tripathy, Jing Wang, Michael P Sanderson, Naoto T Ueno

Faculty, Staff and Student Publications

Triple-negative breast cancer (TNBC) and inflammatory breast cancer (IBC) are the most aggressive molecular subtypes of breast cancer. Poor clinical outcomes highlight the pressing need to discover novel targets for the effective treatment of these diseases. LMP7 (β5i/PSMB8), a proteolytic subunit of the immunoproteasome, is implicated in the pathogenesis of multiple myeloma, autoimmune and inflammatory diseases, and inflammation-related cancers. However, the role of LMP7 in TNBC and IBC remains poorly characterized. Here, we evaluated the function of LMP7 in TNBC and IBC using the selective LMP7 inhibitor M3258. In human TNBC patient samples, LMP7 expression correlated strongly with CD8+ T …

Refine: A Database Of Linked Clinical Data And Genomic Biomarkers In Renal Cell Carcinoma Patients Receiving Immunotherapy-Based Treatment Regimens, Jeffrey Zhong, Albert Jang, Bashar Abuqayas, Arnab Basu, David Benjamin, Vineel Bhatlapenumarthi, Mehmet Asim Bilen, Dhvani Buch, Mark Chang, Erica Chin, Sourat Darabi, Nagendra Dhanikonda, Pooja Ghatalia, Claud Grigg, Abby Grier, Tanya Jindal, Joannah Jung, Deepak Kilari, Hamsa Kumar, Suzanna Lee, Brittany Neelands, Chinmayi Pandya, Jeff Pawalek, Jaimee Staggers, Ahmet Yildirim, Yousef Zakharia, Kevin Zarrabi, Michael Zimmerman, George Sledge, David Spetzler, Andrew Elliott, Rana Mckay, Pedro Barata

Department of Medical Oncology Faculty Papers

The REnal cancer consortium for Focused Investigation of Novel biomarkers and Expression (REFINE) consortium represents an important initiative in integrating clinical data with molecular sequencing in patients with advanced renal cell carcinoma (RCC) treated with immunotherapy-based approaches. By leveraging real-world evidence and genomic analysis, this consortium aims to explore putative predictive biomarkers with the potential to inform personalized treatment strategies. Findings from the REFINE database may further contribute to our understanding of disease courses of immunotherapy-based approaches for various molecular subtypes of RCC, associations of race and ethnicity with RCC treatment and outcomes with representation of patient populations underrepresented in …

Prediction Of Methotrexate Neurotoxicity Using Clinical, Sociodemographic, And Area-Based Information In Children With Acute Lymphoblastic Leukemia, Rachel D Harris, Olga A Taylor, Maria Monica Gramatges, Amy E Hughes, Mark Zobeck, Sandi Pruitt, M Brooke Bernhardt, Ashley Chavana, Van Huynh, Kathleen Ludwig, Laura Klesse, Kenneth Heym, Timothy Griffin, Rodrigo Erana, Juan Carlos Bernini, Ashley Choi, Yuu Ohno, Melissa A Richard, Alanna C Morrison, Han Chen, Bing Yu, Philip J Lupo, Karen R Rabin, Michael E Scheurer, Austin L Brown

Center for Medical Ethics and Health Policy Staff Publications

Background: Methotrexate is a critical component of pediatric acute lymphoblastic leukemia (ALL) therapy that can result in neurotoxicity which has been associated with an increased risk of relapse. We leveraged machine learning to develop a neurotoxicity risk prediction model in a diverse cohort of children with ALL.

Methods: We included children (age 2-20 years) diagnosed with ALL (2005-2019) and treated in Texas without pre-existing neurologic disease. Clinical information was obtained by medical record review. Neurotoxicity occurring post-induction and prior to maintenance therapy was defined as neurologic episodes occurring within 21 days of methotrexate. Suspected cases were independently confirmed by 2 …

Deep Learning Based Rapid X-Ray Fluorescence Signal Extraction And Image Reconstruction For Preclinical Benchtop X-Ray Fluorescence Computed Tomography Applications, Amrit Kaphle, Sandun Jayarathna, Sang Hyun Cho

Faculty, Staff and Student Publications

Recent research advances have resulted in an experimental benchtop X-ray fluorescence computed tomography (XFCT) system that likely meets the imaging dose/scan time constraints for benchtop XFCT imaging of live mice injected with gold nanoparticles (GNPs). For routine in vivo benchtop XFCT imaging, however, additional challenges, most notably the need for rapid/near-real-time handling of X-ray fluorescence (XRF) signal extraction and XFCT image reconstruction, must be successfully addressed. Here we propose a novel end-to-end deep learning (DL) framework that integrates a one-dimensional convolutional neural network (1D CNN) for rapid XRF signal extraction with a U-Net model for XFCT image reconstruction. We trained …

Mesenchymal Stem Cells And Fibroblasts Contribute To Microvascular Proliferation In Glioblastoma And Are Correlated With Immunosuppression And Poor Outcome, Candice C Poon, Shelley M Herbrich, Yulong Chen, Anwar Hossain, Gregory N Fuller, Sonali Jindal, Sreyashi Basu, Daniel Ledbetter, Marc Macaluso, Lynnette M Phillips, Joy Gumin, Zhong He, Brittany C Parker Kerrigan, Sanjay K Singh, Pratishtha Singh, Mohammed Fayyad Zaman, Derek Ng Tang, Sangeeta Goswami, Frederick F Lang, Padmanee Sharma

Faculty, Staff and Student Publications

Microvascular proliferation (MVP) is a disease-defining hallmark of glioblastoma and other World Health Organization grade 4 gliomas. MVP also serves as a poor prognostic marker in various solid tumors. Despite its clinical significance, the mechanisms and biological consequences of MVP are controversial and remain unclear. In this study, we performed single-cell RNA sequencing on paired CD45-CD105+ vascular/perivascular stromal cells (PVSC) and CD45+CD105± immune cells from 16 primary glioma patient samples, both with and without MVP. This analysis revealed the presence of developmentally related mesenchymal stem cells alongside cancer-associated fibroblasts, pericytes, fibromyocytes, and smooth muscle cells within the CD45-CD105+ compartment. RNA …

The Present And Future Of Precision Oncology And Tumor-Agnostic Therapeutic Approaches, Nakul M Shah, Funda Meric-Bernstam

Faculty, Staff and Student Publications

Precision oncology has transformed the treatment landscape for patients with advanced solid tumors. Tumor-agnostic therapies, those that have been approved based on genetic mutations or biomarkers across tumor histology types, are important examples of how the implementation of precision oncology can expand therapeutic options for patients, especially those with rare cancer types and treatment-refractory disease. In this review, we first discuss how advances in next-generation sequencing and molecular profiling have enabled the identification of shared actionable alterations. Subsequently, we explore the current landscape of tumor-agnostic therapies that have received approval from the Food and Drug Administration. We discuss the strengths …

Deep Learning Based Rapid X-Ray Fluorescence Signal Extraction And Image Reconstruction For Preclinical Benchtop X-Ray Fluorescence Computed Tomography Applications, Amrit Kaphle, Sandun Jayarathna, Sang Hyun Cho

Faculty, Staff and Student Publications

Recent research advances have resulted in an experimental benchtop X-ray fluorescence computed tomography (XFCT) system that likely meets the imaging dose/scan time constraints for benchtop XFCT imaging of live mice injected with gold nanoparticles (GNPs). For routine in vivo benchtop XFCT imaging, however, additional challenges, most notably the need for rapid/near-real-time handling of X-ray fluorescence (XRF) signal extraction and XFCT image reconstruction, must be successfully addressed. Here we propose a novel end-to-end deep learning (DL) framework that integrates a one-dimensional convolutional neural network (1D CNN) for rapid XRF signal extraction with a U-Net model for XFCT image reconstruction. We trained …

Linking Dna Methylation In Brain Regions To Alzheimer’S Disease Risk: A Mendelian Randomization Study, Hua Zhong, Jingjing Zhu, Shuai Liu, Dan Zhou, Quan Long, Chong Wu, Bingxin Zhao, Chao Cheng, Yaohua Yang, Qing Wu, Yong Wu, Changwei Li, Zhaoming Wang, Jianyong Wu, Xingyi Guo, Degui Zhi, Youping Deng, Lang Wu

Faculty, Staff and Students Publications

Aim: DNA methylation in brain regions represents a potential mechanism linking genetic variation to Alzheimer's disease (ad) risk, yet most studies have focused on blood-derived methylation markers. In this study, we conducted a systematic Mendelian randomization (MR) study to evaluate associations between predicted brain region-specific DNA methylation levels and ad risk, using methylation quantitative trait loci (mQTL) as genetic instruments.

Methods: We analyzed mQTLs from five human brain regions: cerebellum (CRBLM), frontal cortex (FCTX), causal pons (PONS), and temporal cortex (TCTX) from 600 individuals in Gibbs et al's study, as well as mQTLs from dorsolateral prefrontal cortex (DLPFC) of 543 …

Effect Of In-Season Potentiation And Priming On Jump Height In Collegiate D1 American Football Players, Benjamin Dagostino, Kody Cooke, Paulette Yamada, Trevor Short

Topics in Exercise Science and Kinesiology

Neuromuscular priming and post-activation potentiation (PAP) are techniques utilized to increase nervous system excitation, muscle force, and rate of force development during subsequent muscle contractions in sport. PAP is a commonly used approach that has the potential to influence neuromuscular status monitoring and flagging, and optimize power training. Specifically, jump height is an important parameter in athletic performance and assessing inter-limb asymmetries. Thus, the purpose of this paper is to report the effects of different PAP strategies on jump height during a competitive D1 American football season. These findings will inform practitioners on optimal PAP strategies and their implications …

Detecting Physical Activity Using Wearable Sensor Data, Dipok Deb

Data Science and Data Mining

This study focuses on detecting physical activity using wearable sensor data, specifically distinguishing between walking and running. A dataset comprising accelerometer and gyroscope readings is used to train and evaluate various machine learning models, including logistic regression, random forest, k-nearest neighbors, naïve Bayes, and XGBoost. Extensive preprocessing, such as creating lag features and rolling statistics, is performed to enhance temporal data representation. The models are evaluated using metrics like accuracy, precision, recall, and F1 score. Incorporating lag and rolling features significantly improves model performance, with logistic regression achieving perfect scores across all metrics. These findings demonstrate the effectiveness of enhanced …