Medicine and Health Sciences Commons^™

Allosteric Targeted Drug Delivery For Enhanced Blood-Brain Barrier Penetration Via Mimicking Transmembrane Domain Interactions, Kaicheng Tang, Zhongjie Tang, Miaomiao Niu, Zuyin Kuang, Weiwei Xue, Xinyu Wang, Xinlong Liu, Yang Yu, Seongdong Jeong, Yifan Ma, Annette Wu, Betty Y S Kim, Wen Jiang, Zhaogang Yang, Chong Li

Faculty, Staff and Student Publications

Current strategies for active targeting in the brain are entirely based on the effective interaction of the ligand with the orthosteric sites of specific receptors on the blood-brain barrier (BBB), which is highly susceptible to various pathophysiological factors and limits the efficacy of drug delivery. Here, we propose an allosteric targeted drug delivery strategy that targets classical BBB transmembrane receptors by designing peptide ligands that specifically bind to their transmembrane domains. This strategy prevents competitive interference from endogenous ligands and antibodies by using the insulin receptor and integrin α

Hierarchical Lineage Tracing To Unravel Mechanisms Of Cancer Treatment Resistance, Rachel Danielle Saxe

Dartmouth College Ph.D Dissertations

Cancer cells adapt to treatment, leading to the emergence of clones that are more aggressive and resistant to anti-cancer therapies. We have a limited understanding of the development of treatment resistance as we lack technologies to map the evolution of cancer under the selective pressure of treatment. To address this, we developed a hierarchical, dynamic lineage tracing method called FLARE (Following Lineage Adaptation and Resistance Evolution). We use this technique to track the progression of acute myeloid leukemia (AML) cell lines through exposure to Cytarabine (AraC), a front-line treatment in AML, in vitro and in vivo. We map distinct cellular …

Her2-Selective Tyrosine Kinase Inhibitor, Zongertinib (Bi 1810631), In Patients With Advanced/Metastatic Solid Tumors With Her2 Alterations: A Phase Ia Dose-Escalation Study, John V Heymach, Frans Opdam, Minal Barve, Hai-Yan Tu, Yi-Long Wu, David Berz, Lukas Schröter, Yanick Botilde, Behbood Sadrolhefazi, Josep Serra, Kiyotaka Yoh, Noboru Yamamoto

Faculty, Staff and Student Publications

Purpose: Human epidermal growth factor receptor 2 (HER2) alterations occur in many solid cancers, including non-small cell lung cancer (NSCLC). Beamion LUNG-1 (ClinicalTrials.gov identifier: NCT04886804) is assessing the safety/efficacy of zongertinib (BI 1810631), a novel HER2-selective tyrosine kinase inhibitor that spares epidermal growth factor receptor, in patients with HER2-altered solid tumors.

Materials and methods: Beamion LUNG-1 is an ongoing multicenter, multicohort phase Ia/Ib trial. Phase Ia assessed zongertinib administered twice a day (15-150 mg) or once daily (60-360 mg) in pretreated patients with various tumors, including NSCLC. Primary end points were maximum tolerated dose (MTD) and dose-limiting toxicities (DLTs); …

The Zbtb24-Cdca7-Hells Axis Suppresses The Totipotent 2c-Like Reprogramming By Maintaining Dux Methylation And Repression, Dan Guo, Zeling Du, Youqi Liu, Meiqi Lin, Yue Lu, Swanand Hardikar, Yanna Xue, Jinghong Zhang, Taiping Chen, Jiameng Dan

Faculty, Staff and Student Publications

Two-cell-like cells (2CLCs), a rare population (∼0.5%) in mouse embryonic stem cell (mESC) cultures, are in a transient totipotent-like state resembling that of 2C-stage embryos, and their discovery and characterization have greatly facilitated the study of early developmental events, such as zygotic genome activation. However, the molecular determinants governing 2C-like reprogramming remain to be elucidated. Here, we show that ZBTB24, CDCA7, and HELLS, components of a molecular pathway that is involved in the pathogenesis of immunodeficiency, centromeric instability, and facial anomalies (ICF) syndrome, function as negative regulators of 2C-like reprogramming by maintaining DNA methylation of the Dux cluster, a master …

Whole Genome Sequencing Analysis Of Body Mass Index Identifies Novel African Ancestry-Specific Risk Allele, Xinruo Zhang, Jennifer A. Brody, Mariaelisa Graff, Heather M. Highland, Nathalie Chami, Hanfei Xu, Zhe Wang, Kendra R. Ferrier, John Blangero, Joanne E. Curran

School of Medicine Publications

Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51% were of non-European population groups. We discovered 18 BMI-associated signals (P <  5 × 10−9), including two secondary signals. Notably, we identified and replicated a novel low-frequency single nucleotide polymorphism (SNP) in MTMR3 that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the POC5 and DMD …

Cognitive Correlates Of Borderline Personality Disorder Features In Youth With Bipolar Spectrum Disorders And Bipolar Offspring, Alessio Simonetti, Sherin Kurian, Evelina Bernardi, Antonio Restaino, Francesca Bardi, Claudia Calderoni, Gabriele Sani, Jair C Soares, Kirti Saxena

Faculty, Staff and Student Publications

Background: Bipolar disorder (BD) and borderline personality disorder (BPD) share common cognitive impairments. These deficits are also shared by bipolar offspring (BD-OFF). Nevertheless, little is known regarding the association between cognitive impairments and BPD features in youth with BD and BD-OFF. Objectives: This study aimed to investigate the association between BPD features and cognitive impairments in youth with BD and BD-OFF.

Methods: Thirty-nine participants (7-17 years) with BD, 18 BD-OFF, and 50 healthy controls (HCs) were recruited. BPD features were assessed using the Borderline Personality Features Scale for Children (BPFS-C). Deficits in executive functions and affective processing were assessed using …

Research And Engagement Day Poster

Bryant REDay (Research and Engagement Day)

No abstract provided.

Bryant's Ai Hack-A-Thon

Bryant REDay (Research and Engagement Day)

No abstract provided.

Research And Engagement Day Poster

Bryant REDay (Research and Engagement Day)

No abstract provided.

Bryant University Research And Engagement Day Program

Bryant REDay (Research and Engagement Day)

No abstract provided.

Research And Engagement Day Poster

Bryant REDay (Research and Engagement Day)

No abstract provided.

Geographic Divergence Of Methicillin-Resistant Staphylococcus Aureus St5-Scc Mec I In The Aftermath Of A Major Earthquake And Tsunami: Impact Of A Plasmid Harboring Heavy Metal Resistance Genes, Jose R W Martínez, Manuel Alcalde-Rico, Estefanía Jara-Videla, Jinnethe Reyes, Lina P Carvajal, Sandra Rincon, Rafael Ríos, Lorena Diaz, Ana Quesille-Villalobos, Roberto Riquelme-Neira, Lina Rivas, Ahmed M Moustafa, Blake Hanson, Eduardo A Undurraga, Jorge Olivares-Pacheco, Patricia García, Rafael Araos, Paul J Planet, César A Arias, Jose M Munita

Faculty, Staff and Student Publications

Methicillin-resistant Staphylococcus aureus (MRSA) is a major public health menace. The global spread of MRSA is characterized by successive waves of epidemic clones dominating specific geographical regions. The acquisition of genes encoding resistance to heavy metals (HMRGs) is thought to be a key feature in the geographic divergence of MRSA. However, the cause-effect relationship between the presence of HMRGs and the divergence of MRSA clones remains to be clarified. In this study, we assessed the role that HMRGs may have played in the evolutionary divergence of the MRSA ST5-SCCmecI lineage in Latin America. We conducted a genomic characterization …

An In Vivo Microscopy Dataset For The Characterization Of Leukocyte Death, Alain Pulfer, Diego Ulisse Pizzagalli, Miguel Palomino Segura, Nina Germic, Tommaso Virgilio, Mauro Di Pilato, Pau Carrillo Barbera, Elisa Palladino, Paola Antonello, Marcus Thelen, Hans-Uwe Simon, Rolf Krause, Santiago F Gonzalez

Faculty, Staff and Student Publications

Recent advancements in intravital microscopy have enabled the study of cell death in vivo under various experimental conditions, such as infection and cancer. However, the limited throughput of this technology, together with a lack of openly accessible datasets, affects the development of algorithms for the automatic detection and characterization of cell death, which in turn require the integration of extensive and curated datasets. To address these needs, we present a curated dataset of microscopy videos depicting the death of neutrophils, eosinophils, and dendritic cells, acquired in the spleen and in the lymph node of mice under inflammatory conditions. The dataset …

Does Peer Influence Impact Substance Use Intentions In Pre-Adolescence? A Longitudinal Examination, Aubrey Low

Student Research Symposium

• Substance use in adolescent populations remains a significant public health concern. Although many studies have explored the association between peer influence and adolescents' substance use intentions, little has focused on how pre-adolescent populations are impacted by peer influence and their susceptibility to substance use. This gap in knowledge presents to be concerning given the increased vulnerability to social pressures during this developmental stage. This study aims to close this gap by investigating the association of the role of peer influence in shaping pre-adolescents' intent to use substances.

Examining Physiological Responses To Misophonic Triggers, Christian O'Reilly, Xuan Yang, Sewon Oh, Doug Wedell, Svetlana Shinkareva

Faculty Publications

We collected and analyzed an array of biosignals (face electromyogram, skin electrodermal activity, peripheral temperature, and electrocardiogram) in 60 participants with and without misophonia, a condition characterized by decreased tolerance to innocuous sounds. Our goal was to objectively characterize the physiological response to misophonia triggering sounds. We found that misophonic responses can be objectively identified in some cases through atypical physiological reactions to triggering stimuli, though not all participants exhibited this response. Our analyses suggest a large interindividual variability in response to misophonic triggers and highlights the need for methodological adjustments in future experiments to increase the detectability of misophonic …

Phase 2 Trial Of Ibrutinib And Nivolumab In Patients With Relapsed Cns Lymphomas, Dai Chihara, Raphael E Steiner, Ranjit Nair, Lei Feng, Sairah Ahmed, Paolo Strati, Luis Malpica, Donna P Griffith, Shivon A Mathew, Wirt Montinez, Gita Masand, Felipe Samaniego, Maria A Rodriguez, Fredrick B Hagemeister, Luis E Fayad, Swaminathan P Iyer, Loretta J Nastoupil, Sattva S Neelapu, Christopher R Flowers, Jason R Westin

Faculty, Staff and Student Publications

Treatment options are limited for both relapsed/refractory primary and secondary central nervous system (CNS) lymphoma and the prognosis remains poor. Previous studies have shown the activity of Bruton tyrosine kinase inhibitors and programmed death-1-targeted therapies in CNS lymphoma, and studies suggested potential synergy. Therefore, we conducted a phase 2 trial that combined ibrutinib with nivolumab for patients with relapsed/refractory CNS lymphoma. Patients received 560 mg oral ibrutinib daily with 240 mg IV nivolumab every 14 days (28 days per cycle). Patients who had partial or complete response after 6 cycles of treatment could continue therapy for up to 2 years …

Identifying The Human Olfactory And Chemosignaling Neural Networks Using Event Related Fmri And Graph Theory, Saideh Ferdowsi, Tom Foulsham, Alireza Rahmani, Dimitri Ognibene, Luca Citi, Wen Li

Faculty, Staff and Student Publications

This study aims to characterize and compare the functional neural networks associated with different olfactory stimuli, including air, non-social odours, and human body odours. We introduce a novel processing pipeline based on event-related functional magnetic resonance imaging (fMRI) and graph theory for network identification. To ensure the stability and small worldness of the characterized networks, we conduct statistical validations, network modularity assessments, and robustness measurement against local attacks. The key hypothesis is that human body odours (so-called social odours) and non-social odours engage distinct neural networks, particularly in regions responsible for social processing. We found that the posterior medial orbitofrontal …

Molecular Subtyping Of Hypertensive Disorders Of Pregnancy, Michal Elovitz, Elaine Gee, Nathaniel Delaney-Busch, Alison Moe, Mitsu Reddy, Arkady Khodursky, Johnny La, Ilma Abbas, Kay Mekaru, Hunter Collins, Farooq Siddiqui, Rory Nolan, Rupsa Boelig, Daniel Kiefer, Pamela Simmons, George Saade, Antonio Saad, Ebony Carter, Thomas Mcelrath, Stephen Quake, Mark Depristo, Carrie Haverty, Manfred Lee, Eugeni Namsaraev, Vincenzo Berghella, Ai-Ris Collier, Antonia Frolova, Esther Park-Hwang, Luis Pacheco, Elizabeth Sutton, Maneesh Jain, Kara Rood, William A Grobman, Joseph Biggio, Cynthia Gyamfi-Bannerman, Arun Jeyabalan, Morten Rasmussen

Department of Obstetrics and Gynecology Faculty Papers

Hypertensive disorders of pregnancy (HDP), including preeclampsia, affect 1 in 6 pregnancies, are major contributors to maternal morbidity and mortality, yet lack precision medicine strategies. Analyzing transcriptomic data from a prospectively-collected diverse cohort (n = 9102), this study reveals distinct RNA subtypes in maternal blood, reclassifying clinical HDP phenotypes like early/late-onset preeclampsia. The placental gene PAPPA2 strongly predicts the most severe forms of preeclampsia in individuals without pre-existing high risk factors, months before symptoms, and its overexpression correlates with earlier delivery in a dose-dependent manner. Further, molecular subtypes characterized by immune genes are upregulated in less severe forms of HDP. …

Disentangling Effects Of The Dr And Dq Isomers Encoded By The Hla Class Ii Haplotype Drb1*15:01/Dqb1*06:02 To Help Establish The True Risk Allele For Fviii Inhibitor Development In Hemophilia A, Vincent P. Diego, Bernadette W. Luu, Marcio A. Almeida, Jacob Galan, Eron G. Manusov, Juan M. Peralta, Satish Kumar, Joanne E. Curran, Harald H. H. Goring, Sarah Williams-Blangero, John Blangero, Tom Howard

School of Medicine Publications

Introduction: Hemophilia A (HA) patients (HAPs) with the human leukocyte antigen (HLA)-class-II (HLAII) haplotype DRB1*15:01/DQB1*06:02, and thus antigen presenting cells which express HLAII β-polypeptide chains that form heterodimers of DR15- and DQ6-serotypes, respectively, have an increased risk of developing factor (F)VIII inhibitors (FEIs)—neutralizing antibodies against the therapeutic-FVIII-proteins (tFVIIIs) infused to prevent/arrest bleeding. As DRB1*15:01 and DQB1*06:02 exist in strong linkage disequilibrium, association analysis cannot determine which is the actual risk allele.

Methods: To establish the true risk allele of this haplotype, we analyzed the tFVIII-derived peptides (tFVIII-dPs) bound to either the DR or DQ molecules that comprise the individual HLAII …

Understanding Challenges To Breast Cancer Screening For African American Women In Detroit: A Study Of Social And Healthcare Inequities, Miranda Goodson, Whitney Bowyer, Erika Lopez, Anna Lundh

Medical Student Research Symposium

African American (AA) women have lower adherence to breast cancer screening guidelines, which may contribute to delayed diagnoses and reduced survival rates. These disparities are often influenced by limited access to quality healthcare and persistent inequities faced within Michigan. With Detroit's population being 77% AA, examining studies focused on the experiences of Black women within urban healthcare networks is essential to understanding the connections between demographic, socioeconomic factors, and breast cancer outcomes. To assess these studies, a literature search was conducted using Ovid Medline yielding 24 associated articles.

Mammogram rates among AA women in Detroit remain low, reflecting a complex …

Goat Tying Styles Impact On Performance Consistency With Rodeo Competitors In The National Intercollegiate Rodeo Association Ozark Region, Marie Baxley, C.A. Shea Porr, Thomas Powell

Honors College Theses

Goat tying is a rodeo event involving dismounting a horse, and flanking and tying three legs of a goat. Flanking is defined as picking a goat up and setting it on the ground on its side. Flank/gather (FG) is a style where riders scoop the legs with the right hand and then place them in the left. Catch the flank (CF), stuffing (ST), and funneling (FN) are other methods that involve the goats’ legs landing together so the right hand is not needed for gathering. The objectives of this study were to determine 1) if flanking method affects performance, and …

Ai Beliefs And Practices In Community College Classrooms, Julie Eng, Heather Umphlett, Jocelyn Gilchrist, Alicia Howell, Mary Ann Howell, Wendy Miller-Edwards, Laurel Pope

Inquiry: The Journal of the Virginia Community Colleges

The country, the Commonwealth of Virginia, and Virginia Community College System initiatives all promote generative AI within education. It is a topic of great concern and interest for higher education instructors, yet at the same time many faculty members feel uncertain about effectively integrating it into class material. To further add pressure to the AI explosion, community colleges particularly face a responsibility to prepare their students for success in this new AI-focused environment. In this article, seven faculty members from Camp Community College discuss the implications of generative AI programs, including subscriptions and chatbots, within their particular courses and how …

Daily Acute Intermittent Hypoxia Elicits Age & Sex-Dependent Changes In Molecules Regulating Phrenic Motor Plasticity, Jayakrishnan Nair, Alexandria Marciante, Carter Lurk, Mia Kelly, Maclain Capron, Gordon Mitchell

Department of Physical Therapy Faculty Papers

Acute intermittent hypoxia (AIH) elicits a form of respiratory motor plasticity known as phrenic long-term facilitation (pLTF). Exposure to repetitive daily AIH (dAIH) enhances pLTF, a form of metaplasticity. Little is known concerning cellular mechanisms giving rise to dAIH-induced metaplasticity and the age-dependent sexual dimorphism of AIH associated pro-plasticity mRNA expression. To test if age, sex, and dAIH effects are associated with differential expression of molecules that regulate the Q- and S-pathways and their cross-talk interactions to phrenic motor facilitation, we analyzed key regulatory molecules in ventral spinal (C3-C5) homogenates from young (3-month) and middle-aged (12-month) male and female Sprague-Dawley …

A Cross-Sectional Analysis: Employment And Its Impact On Physical Activity, Academic Performance, And Quality Of Life Among Bellarmine University Students, Orlando Exposito Nuñez

Undergraduate Theses

Introduction: Half of undergraduate students are employed, meaning they must balance work with academics, physical activity (PA), and personal responsibilities. This study examines the potential negative impact of employment on PA, academic performance, and quality of life (QOL) among college students. Methods: The cross-sectional survey comprised 125 Bellarmine University students (Age 21.07 ± 3.40; 52% female, 48% male). Measures included the RAND SF-36 for QOL, the International Physical Activity Questionnaire Short Form (IPAQ-SF), and a custom academic and employment questionnaire. Racial and ethnic demographics included White (75.2%), Black or African American (11.2%), Hispanic or Latino (15.2%), Asian (4.8%), Multiracial (4.8%), …

04.07.2025 Ored Connect, Liz Williamson

ORED Newsletter

New ORED Website Goes Live

Oxford Pitch Competition

Hughes Miller, Strategic Partnerships

Mri-Based Digital Twins To Improve Treatment Response Of Breast Cancer By Optimizing Neoadjuvant Chemotherapy Regimens, Chengyue Wu, Ernesto A B F Lima, Casey E Stowers, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M Rauch, Thomas E Yankeelov

Faculty, Staff and Student Publications

We developed a practical framework to construct digital twins for predicting and optimizing triple-negative breast cancer (TNBC) response to neoadjuvant chemotherapy (NAC). This study employed 105 TNBC patients from the ARTEMIS trial (NCT02276443, registered on 10/21/2014) who received Adriamycin/Cytoxan (A/C)-Taxol (T). Digital twins were established by calibrating a biology-based mathematical model to patient-specific MRI data, which accurately predicted pathological complete response (pCR) with an AUC of 0.82. We then used each patient's twin to theoretically optimize outcome by identifying their optimal A/C-T schedule from 128 options. The patient-specifically optimized treatment yielded a significant improvement in pCR rate of 20.95-24.76%. Retrospective …

A Folding-Docking-Affinity Framework For Protein-Ligand Binding Affinity Prediction, Ming-Hsiu Wu, Ziqian Xie, Degui Zhi

Faculty, Staff and Student Publications

Accurate protein-ligand binding affinity prediction is crucial in drug discovery. Existing methods are predominately docking-free, without explicitly considering atom-level interaction between proteins and ligands in scenarios where crystallized protein-ligand binding conformations are unavailable. Now, with breakthroughs in deep learning AI-based protein folding and binding conformation prediction, can we improve binding affinity prediction? This study introduces a framework, Folding-Docking-Affinity (FDA), which folds proteins, determines protein-ligand binding conformations, and predicts binding affinities from three-dimensional protein-ligand binding structures. Our experimental results indicate that FDA performs comparably to state-of-the-art docking-free methods. We anticipate that our proposed framework serves as a starting point for integrating …

A Scoping Review Of Omop Cdm Adoption For Cancer Research Using Real World Data, Liwei Wang, Andrew Wen, Sunyang Fu, Xiaoyang Ruan, Ming Huang, Rui Li, Qiuhao Lu, Heather Lyu, Andrew E Williams, Hongfang Liu

Faculty, Staff and Student Publications

The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) supports large-scale research by enabling distributed network analyses. However, the breadth of its adoption in cancer research is not well understood. We conducted a scoping review to describe the adoption of the OMOP CDM in cancer research. A total of 49 unique articles were included in the review, with 30 on the data analysis theme, and 20 on the infrastructure theme. This review highlighted that while the OMOP CDM ecosystem has enabled successful data support for cancer research, particularly for collaborative studies, ongoing model development and iterative improvement remain needed …

Vestibular Neurons Link Motion Sickness, Behavioural Thermoregulation And Metabolic Balance In Mice, Longlong Tu, Xing Fang, Yongjie Yang, Meng Yu, Hailan Liu, Hesong Liu, Na Yin, Jonathan C Bean, Kristine M Conde, Mengjie Wang, Yongxiang Li, Olivia Z Ginnard, Qingzhuo Liu, Yuhan Shi, Junying Han, Yi Zhu, Makoto Fukuda, Qingchun Tong, Benjamin Arenkiel, Mingshan Xue, Yang He, Chunmei Wang, Yong Xu

Children’s Nutrition Research Center Staff Publications

Motion sickness is associated with thermoregulation and metabolic control, but the underlying neural circuitry remains largely unknown. Here we show that neurons in the medial vestibular nuclei parvocellular part (MVePC) mediate the hypothermic responses induced by motion. Reactivation of motion-sensitive MVePC neurons recapitulates motion sickness in mice. We show that motion-activated neurons in the MVePC are glutamatergic (MVePCGlu), and that optogenetic stimulation of MVePCGlu neurons mimics motion-induced hypothermia by signalling to the lateral parabrachial nucleus (LPBN). Acute inhibition of MVePC-LPBN circuitry abrogates motion-induced hypothermia. Finally, we show that chronic inhibition of MVePCGlu neurons prevents diet-induced obesity and improves glucose homeostasis …

Benchmarking Large Language Models For Biomedical Natural Language Processing Applications And Recommendations, Qingyu Chen, Yan Hu, Xueqing Peng, Qianqian Xie, Qiao Jin, Aidan Gilson, Maxwell B Singer, Xuguang Ai, Po-Ting Lai, Zhizheng Wang, Vipina K Keloth, Kalpana Raja, Jimin Huang, Huan He, Fongci Lin, Jingcheng Du, Rui Zhang, W Jim Zheng, Ron A Adelman, Zhiyong Lu, Hua Xu

Faculty, Staff and Student Publications

The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While Large Language Models (LLMs) have shown promise in general domains, their effectiveness in BioNLP tasks remains unclear due to limited benchmarks and practical guidelines. We perform a systematic evaluation of four LLMs-GPT and LLaMA representatives-on 12 BioNLP benchmarks across six applications. We compare their zero-shot, few-shot, and fine-tuning performance with the traditional fine-tuning of BERT or BART models. We examine inconsistencies, missing information, hallucinations, and perform cost analysis. Here, we show that traditional fine-tuning outperforms zero- or …