Digital Commons Network^™

Artificial Light At Night Extends Pollen Season And Elevates Allergen Exposure, Brandt Geist, Lin Meng, Daniel S W Katz, Huidong Li, Franz Hölker, Qian Xiao

Faculty, Staff and Student Publications

Artificial light at night (ALAN), a growing environmental stressor in urban ecosystems, disrupts natural light-dark cycles and alters plant phenological events such as leaf-out and flowering. However, the extent to which ALAN influences airborne pollen season timing and exacerbates allergy-related health risks remains largely understudied. This study investigates how ALAN influences the timing and duration of the airborne pollen season across the Northeastern United States from 2012 to 2023 and the consequences of allergenic pollen exposure. Using daily pollen concentrations from the National Allergy Bureau, ALAN data from the Visible Infrared Imaging Radiometer Suite product, and gridded Daymet climate data, …

Plasma Proteomic Profile Of Dietary Potassium And Incident Ckd, Jiaqi Yang, Lauren Bernard, Jingsha Chen, Valerie K Sullivan, Bing Yu, Eugene P Rhee, Paul A Welling, Casey M Rebholz

Faculty, Staff and Student Publications

Background:: There is a need for objective biomarkers of dietary potassium. The mechanisms through which dietary potassium influences kidney health are incompletely understood.

Methods:: Atherosclerosis Risk in Communities study participants at visit 3 (1993–1995) with dietary and proteomics data were randomly divided into discovery (N=6,814) and replication (N=3,380) sets. We examined associations between dietary potassium and 4,955 aptamers using multivariable linear regression, adjusting for sociodemographic factors, health behaviors, and estimated glomerular filtration rate, with a false discovery rate of 0.05. Then, we tested the prospective associations between potassium-related proteins and incident chronic kidney disease (CKD).

Results:: …

Adapting A Smartphone-Based Auricular Point Acupressure Self-Management Program For Rural Chronic Musculoskeletal Pain: Qualitative Study, Jungkyung Min, Peiyin Hung, Jane N Bolin, Rupsikha Bora, Sarah Pace, Patricia Pitones, Hulin Wu, Jennifer Kawi

Faculty, Staff and Student Publications

Background: Chronic musculoskeletal pain is more prevalent in rural areas where access to pain interventions, including complementary approaches like Auricular Point Acupressure (APA), remains limited. APA is a non-invasive, needle-free approach, and its smartphone-based self-management delivery model has not been optimized for rural contexts.

Objectives: To explore the perspectives of rural partners on adapting a smartphone-based Auricular Point Acupressure-Self-Management (APA-SM) program to better meet rural needs. Study objectives were to: (1) refine the APA-SM program for rural adults, (2) identify implementation barriers, (3) understand practice workflows and engagement, and (4) identify strategies to integrate the APA-SM program into rural pain …

Subgroup Identification Of Disparities In Buprenorphine Discontinuation In Opioid-Use Disorder: A Virtual Twins Machine Learning Approach Using Nationwide United States Claims Data, 2006–2022, Kehe Zhang, Paula A Jaimes-Buitron, Wanru Guo, Yanmin Gong, Yuanxiong Guo, Carolina Vivas Valencia, Cici Bauer

Faculty, Staff and Student Publications

Buprenorphine retention is crucial for effective treatment of opioid use disorder (OUD), yet disparities in treatment discontinuation persist. This study aims to identify and quantify disparities in buprenorphine treatment retention using a machine learning framework adapted from Virtual Twins approach focusing on disparities related to sex, age, insurance type, geographic region, mental health status and community-level Social Vulnerability Index (SVI). Using a nationwide longitudinal cohort, we applied a two-stage machine learning approach. In Stage one, we trained classification models to estimate the counterfactual differences in treatment discontinuation across disparity types. Model performance was assessed using C-statistics and precision-recall curve. In …

Improving Overall Risk Ranking Via Subgroup-Level Information Borrowing In Survival Risk Stratification, Tia S Thomas, Jing Ning, Ruosha Li

Faculty, Staff and Student Publications

Effective risk stratification is essential for providing tailored therapies, improving patient outcomes, and optimizing healthcare resources by identifying sub-populations with similar health risks. However, accurate risk ranking is challenging in the presence of heterogeneous subgroups. Under these instances, subgroup-level information can be leveraged to refine the overall risk ranking. We propose a novel approach that integrates within-subgroup risk ranking percentiles to enhance the overall cohort risk stratification. This method uses both a global model and subgroup-specific models along with optimized weights to improve discriminatory performance across the entire cohort. The proposed method is validated through extensive simulations and applied to …

Targeting Nuclear Receptors In Muscular Dystrophies And Regenerative Myogenesis, Eira Mann, Hoang Vu, Vihang A Narkar, Yu Liu

The Brown Foundation: Institute of Molecular Medicine

Skeletal muscle is a highly plastic tissue with a robust capacity for regeneration, largely driven by resident satellite cells. Muscular dystrophies comprise a heterogeneous group of inherited disorders characterized by progressive muscle degeneration, chronic inflammation, and impaired regenerative capacity. Despite well-defined genetic etiologies, effective disease-modifying therapies for these disorders, as well as many acquired myopathies, remain limited. Emerging evidence identifies nuclear receptors (NRs) as key regulators of skeletal muscle homeostasis, integrating hormonal, metabolic, and environmental signals to control transcriptional programs governing mitochondrial function, metabolism, inflammation, and myogenesis. In this review, we summarize the diverse roles and mechanisms of action of …

Immune Checkpoint Inhibitor-Induced Cardiotoxicity: From Immune Mechanisms To Clinical Surveillance And Targeted Therapies, Nathan K Chen, Kathryn D Hok, Narsi Chokshi, Anthony Shadid, Haydn E Rich, Lavanya Gunamalai, Marie-Francoise Doursout, Nirmal K Banda, Pooja Shivshankar

The Brown Foundation: Institute of Molecular Medicine

Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape across a broad range of malignancies by restoring antitumor immunity through blockade of key inhibitory immune pathways, including programmed death receptor-1 (PD-1), programmed death ligand-1 (PD-L1), and cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4). Yet the same widespread immune activation that drives their therapeutic benefit renders patients susceptible to immune-related adverse events (irAEs). Among these cardiovascular toxicities have emerged as a particularly critical concern, drawing growing attention within the evolving field of cardio-oncology. ICI-associated cardiotoxicity encompasses a broad clinical spectrum, ranging from myocarditis and pericarditis to arrhythmias, heart failure, and vascular complications. Of these, …

Ai Privacy And Security In Healthcare: A Systematic Literature Review, Diane Dolezel, Karima Lalani, Valerie Watzlaf, Kerryn Butler-Henderson, Elise V Z Lambert, Mary Morton, Jamie Sand, David Gibbs, Susan Fenton

Faculty, Staff and Student Publications

Background: Artificial intelligence is expanding into telemedicine and telerehabilitation, yet significant privacy and security concerns persist.

Scope: To synthesize empirical evidence on privacy and security approaches in health care, particularly those relevant to distributed home care.

Methodology: A systematic review identified 80 studies (2019 to 2025), and Latent Dirichlet Allocation (LDA) topic modeling characterized the privacy and security themes.

Results: Sixty-six studies addressed privacy, only seventeen addressed security, and three studies addressed both. LDA identified four themes: patient data privacy, federated learning for medical imaging, encrypted training and secure computation, and healthcare data governance. Most studies emphasized privacy-preserving approaches, like …

Advancing Virus-Associated Lymphoma Research In Latin America: A Global Opportunity For Cancer Science, Irene Tamí-Maury, Bryan Valcarcel, Maria Alejandra Torres, Arlett Hernandez Chavez, Luis Malpica

Faculty, Staff and Student Publications

No abstract provided.

Nasal Cavity Microbial Makeup And The Influence On Psychiatric Symptoms Following Fire Exposure In Firefighters, Paul Grunsted, Chao Xu, Amanda Janitz, Jessica Reese, Janis Campbell, Tasha M Santiago-Rodriguez, Sara J Javornik Cregeen, Joseph F Petrosino, Jooyeon Hwang

Faculty, Staff and Student Publications

Background: Firefighters experience high levels of occupational stress and trauma, increasing their risk of depression, anxiety, and post-traumatic stress disorder (PTSD). Although microbial communities may influence brain function and behavior through neural pathways, the nasal microbiome remains understudied. This study examined associations between nasal microbiome characteristics and psychiatric symptoms among firefighters.

Methods: We conducted a cross-sectional study of 34 firefighters recruited from Texas fire stations. Participants completed validated questionnaires assessing depression, anxiety, and PTSD. Nasal swabs were collected before and after fire suppression and 16S rRNA sequencing was used to characterize microbial communities. Alpha and beta diversity, relative abundance, and …

An Integrated Lifestyle-, Genetic- And Metabolomics-Based Prediction Model For Mild Cognitive Aging In The Hchs/Sol, Annah B Wyss, Yana Hrytsenko, Linfeng Hu, Iris J Broce, Robert C Kaplan, Wassim Tarraf, Bing Yu, Eric Boerwinkle, Qibin Qi, Myriam Fornage, Charles Decarli, Hector M González, Tamar Sofer

Faculty, Staff and Student Publications

Prediction models for cognitive aging measures have largely evaluated demographic variables and APOE carrier status in populations of European ancestry. To comprehensively assess prediction models among Hispanic/Latinos, we considered 12 models (6 predictor sets and 2 methods) for global cognitive score change (GCSC) and mild cognitive impairment (MCI) in the Study of Latinos-Investigation of Neurocognitive Aging (SOL-INCA) (N = 5856). Based on the average mean squared error (MSE) for GCSC or average area under the curve (AUC) for MCI across 100 randomly split testing and training sets, performance was similar across models, but slightly better for the following models: …

Enhancing Data Compatibility In An Evolving Landscape: Medical Cannabis And Polysubstance Use Protocols In The Phenx Toolkit, Anne Buu, Johannes Thrul, Amanda Bunting, Tamara Haegerich, Wayne Huggins, Christian Hopfer, Denise Vidot, Cataia Ives, Ryan Mcneil, Sarah Zemore, Corrie Vilsaint, Elizabeth Fallon, Christine Hill, Carol Hamilton, John Kelly

Faculty, Staff and Student Publications

Introduction: With increasing legalization of medical cannabis and prevalence of polysubstance use in the United States comes the need for standard psychometrically validated measures to study these substances' health effects in the population. The PhenX (consensus measures for Phenotypes and eXposures) Toolkit (www.phenxtoolkit.org) is a freely accessible catalog of recommended measurement protocols to promote data compatibility across studies, but this extensive catalog did not include measures in these important areas.

Methods: In 2024, a PhenX Working Group of experts followed a well-established consensus process to identify and recommend measurement protocols suitable for inclusion in studies on medical cannabis and polysubstance …

Driving Impairment In Patients With Movement Disorders: Examining The Baylor Driving Questionnaire By Objective Driving Assessment, Abhishek Lenka, Ruosha Li, Karim Makhoul, Alan Gonzalez, Rory D Mahabir, Joseph Jankovic

Faculty, Staff and Students Publications

Background: The development of a screening tool to identify driving impairment in patients with movement disorders is an unmet need.

Objective: To validate Baylor Driving Questionnaire for Movement Disorders (BDQMD) by objective driving assessment (ODA).

Methods: In this cross-sectional study, 142 patients with various movement disorders completed the 10-item BDQMD and of those, 25 completed ODA using the driver performance analysis system (DPAS).

Results: The mean total BDQMD score for the whole cohort was 14.7 ± 5.6 (range 10-47). Patients who underwent ODA had a mean BDQMD score of 12.8 ± 2.9. Four had minimum driving skill, 20 had average, …

Intra-Coronary Imaging And Transcriptomics Of Calcified Nodules Before And After Intensive Lipid-Lowering Therapy: A Yellow Iii Substudy, Pruthvi C Revaiah, Yuliya Vengrenyuk, Jiajia Liu, Keisuke Yasumura, Vemuri Krishna Santosh, Monika Karki, Ishani Bansal, Amit Hooda, Joseph K Sweeny, Sahil Khera, Vishal Kapur, Prakash Krishnan, Pedro R Moreno, Roxana Mehran, Xiaobo Zhou, Jagat Narula, Samin K Sharma, Annapoorna S Kini

Faculty, Staff and Student Publications

Aims: Calcified nodules (CNs) contribute to 3-5% of acute coronary syndromes (ACS). Identifying peri-calcific lipid-rich areas is challenging with conventional imaging but feasible using near-infrared spectroscopy (NIRS). This YELLOW III substudy investigated the impact of maximal lipid-lowering on CN morphology and lipid content over 26 weeks.

Methods and results: Patients with stable CAD and lipid-rich, non-obstructive plaques (lipid arc >90°, FCT < 120 µm on OCT) received Evolocumab (140 mg biweekly) plus maximally tolerated statins. Lesions were evaluated at baseline and 26 weeks using combined NIRS-IVUS and OCT. Exploratory endpoints were the maximum 4 mm lipid core burden index (LCBI) in segments containing CNs (maxLCBI4mm-CN) and morphological changes in CN. Linear mixed-effects models were used to evaluate temporal changes and group interactions. Peripheral blood mononuclear cell (PBMC) transcriptomics were analysed. Among 110 patients, 43 (39.1%) had CNs. A total of 73 paired CNs were analysed for morphology, of which 65 CNs were ≥4 mm. CNs with lipid signal (CNLS) demonstrated a significant reduction in maxLCBI4mm-CN from 176.8 to 113.3 (β = -63.51 ± 17.63; P < 0.001), whereas no change was observed in dense CNs (P = 0.317). Morphological parameters remained largely unchanged in both groups. A modest increase in the surrounding calcium arc was observed in CNLS (P = 0.018), while depth showed a differential change …

Enhancing Inter-Institutional Ai Research Collaboration Across Multidisciplinary Teams To Increase The National Ai Workforce In Healthcare, Toufeeq Ahmed Syed, Sarah Popal, D'Laney Kernan, Deevakar Rogith, Zulfiia Ditto, Paul Warhurst, Jay Johnson, Jamboor K Vishwanatha

Faculty, Staff and Student Publications

Inter-institutional team collaboration is critical for impactful multidisciplinary AI research in healthcare. The goal of our project (AIM-AHEAD Connect) is to increase multidisciplinary collaborations by connecting AI/ML experts and healthcare researchers, trainees and professionals to enhance research and improve health for all Americans. As of February 2026, AIM-AHEAD Connect has over 10,100 AI/ML and healthcare experts from across 2,400 institutions, has made more than 7,800 connections and facilitated 194 collaborative online groups. We conducted a unique study to understand collaboration, and analyzed profile, connection, and platform engagement metrics to determine if AI experts and healthcare researchers with more inter-institutional connections …

Rewiring The Immune Response In Lung Cancer: Current Progress In Bispecific Antibodies, Car-T Therapy, And The Rise Of In Vivo Car-T Platforms, Lei He, Yi Sun, Bowen Ma, Guojun Lang, Jianguo Wen, George R Blumenschein, Hong Ma

Faculty, Staff and Student Publications

Lung cancer remains the leading cause of cancer mortality worldwide and continues to impose a major clinical burden, particularly in advanced non-small cell lung cancer (NSCLC) and small-cell lung cancer (SCLC). Although targeted therapies, antiangiogenic agents, immune checkpoint inhibitors, and antibody-drug conjugates have improved outcomes in selected patients, durable responses remain limited by primary and acquired resistance. Here, we comprehensively review recent progress in immunologically oriented therapeutic strategies for lung cancer, focusing on bispecific antibodies, chimeric antigen receptor (CAR) T-cell therapy, and emerging in vivo CAR-engineering modalities. We further elaborate on the clinical rationale, latest translational and early clinical evidence, …

Deep Learning To Predict Future Cognitive Decline: A Multimodal Approach Using Brain Mri And Clinical Data, Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H Ankarath, Christopher Patterson, Emma J Gleave, Sophia I Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M Thompson

Faculty, Staff and Student Publications

Predicting the trajectory of clinical decline in aging individuals is a pressing challenge, especially for people with mild cognitive impairment, Alzheimer's disease, Parkinson's disease, or vascular dementia. Accurate predictions can guide treatment decisions, identify risk factors, and optimize clinical trials. In this study, we compared two deep learning approaches for forecasting changes, over a 2-year interval, in the Clinical Dementia Rating scale 'sum of boxes' score (sobCDR), as a continuous outcome (regression). This is a key metric in dementia research and clinical trials, and scores range from 0 (no impairment) to 18 (severe impairment). To predict decline, we trained a …

Genetic Variants Associated With Sjögren’S Disease Subtypes Stratified By Clinical Feature, Nitesh Enduru, Chihiro Iwaya, Akiko Suzuki, Zhongming Zhao, Junichi Iwata

Faculty, Staff and Student Publications

Introduction: Sjögren's disease (SjD) is a chronic autoimmune disorder characterized by dry mouth (xerostomia) and dry eyes (xerophthalmia) due to inflammation in exocrine glands, particularly the salivary and lacrimal glands. The condition presents a wide variety of clinical features, suggesting that it may involve heterogeneous conditions without a clear boundary. Although genome-wide association studies (GWAS) have identified several genetic variants associated with SjD, their roles in SjD pathogenesis remain unclear.

Methods: In this study, we aimed to identify single-nucleotide polymorphisms (SNPs) associated with SjD by categorizing patients based on four diagnostic markers: anti-Ro/SSA and anti-La/SSB antibodies, IgG levels, and lymphocyte …

Isolated Immune-Mediated Enteritis In Patients Treated With Immune Checkpoint Inhibitor Therapy, Sharada Wali, Rohan Srinivas Patel, Maria Julia Moura Nascimento Santos, Anirudha Chatterjee, Sophia Chenyu Fan, Sean Ngo, Tanvi Gupta, Kian Abdul Baki, Lucie Heinzerling, Bryan J Schneider, Kathryn Bollin, Jessica Philpott, Anusha Thomas, Yinghong Wang

Faculty, Staff and Student Publications

Background: Immune checkpoint inhibitors (ICIs) commonly cause colitis, but isolated immune-mediated enteritis (IMEN) is poorly characterized. This study describes the clinical features, diagnostic findings, and outcomes of IMEN.

Method: We retrospectively identified adults with cancer who developed IMEN within one year of ICI initiation, confirmed as duodenitis, ileitis, or both.

Results: Among 20,991 ICI-treated patients, 30 (0.143%) developed isolated IMEN. Median age was 69.5 years; 73.3% were male, and 80% white. The most common malignancies were gastrointestinal/hepatobiliary (26.7%) and melanoma (23.3%). Presenting symptoms included nausea (66.7%), diarrhea (53.3%), and vomiting (46.7%); 62.5% of patients with diarrhea had grade ≥2 severity. …

Mitochondrial Dysfunction In Alzheimer’S Disease And Related Sex Differences, Afzal Misrani, Conelius Ngwa, Fudong Liu

Faculty, Staff and Student Publications

Alzheimer's disease (AD), the most common form of dementia, accounts for 70% of cases and remains a major healthcare challenge due to its rising prevalence and lack of disease-modifying treatments. Clinically, AD is a sexually dimorphic disease. Women exhibit more rapid cognitive decline and accelerated brain atrophy during mild cognitive impairment and early dementia, whereas men more frequently present cardiovascular comorbidities, earlier mitochondrial dysfunction, and greater neuropsychiatric symptoms. AD is marked by amyloid-β (Aβ) plaques, neurofibrillary tangles, neuroinflammation, and neuronal loss, with mitochondrial dysfunction emerging as a key early contributor that exhibits sex specific phenotypes. Mitochondria are vital for neuronal …

Retrospective Longitudinal Analysis Of Blood Microrna-7-5p As A Possible Progression Biomarker In People With Parkinson’S Disease, Shayan Abdollah Zadegan, Corrine Hutchinson, Chiamaka Onuigbo, Juan D Martinez-Lemus, Laura Talbot, E Jeffrey Metter, Marie-Francoise Doursout, Emily Tharp, Jessika Suescun, Mohammad Shahnawaz, Timothy M Ellmore, Mya Schiess, Christopher Adams

Faculty, Staff and Student Publications

Background: MicroRNA-7-5p (miR-7-5p) may play a neuroprotective role in people with Parkinson's disease (PwP), as it has been found to regulate α-synuclein (α-syn) and the NLRP3 inflammasome in animal models of Parkinson's disease (PD).

Objective: The study aimed to investigate the use of miR-7-5p as a potential biomarker for disease progression in PwP by correlating it with time, clinical measures, and neurofilament light chain (NfL).

Methods: We performed a longitudinal retrospective analysis of blood miR-7-5p levels in 303 de novo PwP and 159 healthy controls (HCs) from the Parkinson's Progression Markers Initiative (PPMI) cohort. In PwP, a linear mixed-effects …

The Effects Of Measurement Errors On Minimum Ablative Margins After Thermal Ablation Of Liver Tumors: A Simulation Study, Iwan Paolucci, Jessica Albuquerque, Noreen S Siddiqi, A Kyle Jones, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Purpose: To develop a mathematical framework to estimate the in silico A0 threshold based on the technical specifications of a specific ablation confirmation software package for thermal ablation of liver tumors that can then be used to identify the impact of different sources of error.

Methods: To estimate in silico A0 thresholds, we developed a simulation framework incorporating technical parameters and biological effects. Technical parameters were segmentation error, registration error, and slice thickness, and biological effects were tissue shrinkage and microscopic satellite lesions; these parameters and effects were all modeled using statistical distributions. For each permutation of parameters, a logistic …

Metastasis-Directed Radiotherapy For Oligometastatic Urothelial Carcinoma Of The Bladder And Upper Tract, Patrick Carriere, Omar Alhalabi, Jianjun Gao, Amishi Shah, Sangeeta Goswami, Matthew Campbell, Ruitao Lin, Lauren Mayo, Osama Mohamad, Karen Hoffman, Henry Mok, Charmaigne Lozano, Ashish Kamat, Neema Navai, Kelly Bree, Byron Lee, Charles Guo, Michael Rooney, Chad Tang, Seungtaek Choi, Comron Hassanzadeh

Faculty, Staff and Student Publications

Background: Metastasis-directed therapy (MDT) for oligometastatic cancer is utilized for genitourinary malignancies including prostate and kidney cancers. Clinical research on MDT for urothelial carcinoma (UC) remains sparse, especially as systemic therapy advances have improved outcomes.

Objective: We investigated the role of MDT, specifically radiotherapy, for patients with oligometastatic bladder or upper-tract UC.

Methods: Data were collated on patients with metastatic UC with 5 or fewer metastatic sites undergoing MDT with ablative radiotherapy with or without preceding systemic therapy during January 2016 to July 2024. Endpoints were progression-free survival (PFS), and overall survival (OS). Cox proportional hazards analysis was conducted to …

Congenital Syphilis: From Near-Elimination To Crisis, Chad J Abresch, Irene A Stafford, Regan M Johnson, Kayode Olabanji, Ashleigh M Sutphen, Helen E Cejtin, Ashley Hoover

Faculty, Staff and Student Publications

This analytic essay examines the transformation of congenital syphilis (CS) in the United States from near-elimination to crisis. Drawing from the January 2025 Congenital Syphilis Summit in Atlanta, Georgia-convening public health leaders, Tribal health departments, the National Coalition of STD Directors, and Centers for Disease Control and Prevention experts-we contrast prevention systems during near-elimination (1998-2005) with the current crisis (2018-2025). Evidence revealed how dismantling public health infrastructure produced dramatically different outcomes, with CS cases increasing 937% over the past decade and racial/ethnic disparities worsening. American Indian/Alaska Native communities face rates up to 100 times higher than White populations in some …

Glaucoma Risk With Metformin And Sulfonylurea Therapies In Type 2 Diabetes: A Retrospective Cohort Study., Jared Lim, Jingru Zhou, Hulin Wu, Ziqi Liu, David A Lee

Faculty, Staff and Student Publications

Background: Research on metformin, sulfonylureas, and open-angle glaucoma risk in type 2 diabetes mellitus (T2DM) has yielded inconsistent findings. This study examined associations between hypoglycemic treatments and glaucoma diagnosis rates.

Methods: This retrospective cohort study analyzed electronic health records of newly diagnosed T2DM patients from the Merative™ Explorys® Therapeutic Dataset (2010-2022), comparing three groups: metformin monotherapy, sulfonylureas plus metformin combination, and untreated controls. Propensity score matching balanced demographics, glycemic control, body mass index, blood pressure, lipid levels, and comorbidities. Cox proportional hazards models calculated adjusted hazard ratios for incident glaucoma.

Results: After 1:1 propensity score matching, metformin monotherapy (N=100,387) showed …

Biomechanical And Computational Modeling Of Metastatic Acetabular Defects: Influence Of Tumor Location On The Risk Of Fracture, Jacob Doddridge, Hongjia He, Rui Yang, E U Conrad, Nicholas Dunbar

Faculty, Staff and Student Publications

Background: Metastatic bone disease can lead to pathologic fracture of the pelvis which affects quality of life. There are limited validated approaches for biomechanical modeling, classification, or surgical treatment of metastatic acetabular defects.

Methods: An artificial hemipelvis bone was used to calibrate a computed tomography-based computational model of the pelvis with varying locations and sizes of acetabular defects. Metastatic defects affecting the anterior and posterior column, medial wall, and their combinations were created. Mechanical testing was performed on each defect, and images of the lateral surface of the acetabulum were analyzed by digital image correlation to measure peak surface strains. …

Personalized Management Of Chronic Rhinosinusitis In The Context Of Immune Deficiency, Christopher M Bell, Amber U Luong, Chadi A Makary

Faculty, Staff and Student Publications

Primary and secondary immunodeficiency as a cause of recalcitrant or difficult to treat chronic rhinosinusitis (CRS) and recurrent acute rhinosinusitis (RARS) are under-appreciated etiologies. Patients with persistent symptoms, frequent exacerbations despite appropriate medical therapy, or other sinopulmonary conditions known to be related to an immunodeficient state warrant further testing for immunodeficiency, as up to 20% of this cohort of patients may have underlying immunodeficiency. Testing for immunodeficiency includes CBC with differential, immunoglobulin levels, and pneumococcal vaccine titres before and after administration. Regarding secondary immunodeficiency, these patients may present with atypical symptoms, harbor atypical bacteria, or even present with severe complications …

Collision Tumors Involving Metastatic Carcinoma And Plasma Cell Myeloma: Report Of Two Cases, Ahmed A Ahmed, Muhammad Hassaan Khalid, Asad Ur Rehman, Nghia D Nguyen, Xinhai Robert Zhang

Faculty, Staff and Student Publications

Synchronous coexistence of plasma cell neoplasms (PCNs) and metastatic carcinoma is not a common phenomenon and poses a significant diagnostic challenge requiring meticulous histopathological and immunophenotypic analysis for accurate lineage assignment. We report two cases of collision tumors comprising PCN and metastatic lung carcinoma. Case 1 involved a 68-year-old male with metastatic non-small cell lung adenocarcinoma who developed intracranial lesions; resection revealed metastatic adenocarcinoma intermingled with clonal plasma cells. Case 2 was a 73-year-old woman with a lytic iliac crest lesion whose bone marrow and lesion biopsies showed diffuse infiltration by both carcinoma and atypical plasma cells. Comprehensive immunohistochemical profiling, …

Functional, Pharmacogenomic, And Immune Landscapes Of Long Non-Coding Rnas In Cancer, Runhao Wang, Mei Luo, Yuan Liu, Jingwen Yang, Yamei Chen, Chengxuan Chen, Lifei Ma, Stephanie Ding, James Wengler, Yong Zang, Bora Lim, Wenbo Li, Liuqing Yang, Chunru Lin, Lixia Diao, Leng Han

Faculty, Staff and Student Publications

Long non-coding RNAs (lncRNAs) are emerging as key regulators in cancer, with significant potential as diagnostic, prognostic, and therapeutic targets. Here, this work systematically analyzes lncRNA associations with targeted therapies and immunotherapies across 33 cancer types using The Cancer Genome Atlas (TCGA) and real-world datasets. This work identifies 53,173 lncRNA-pathway associations, millions of lncRNA-drug response associations (via CancerRxTissue and VAEN), and extensive correlations with immune checkpoints and infiltration. This work further identifies 69 lncRNAs associated with immunotherapy response and 2,611 differentially expressed lncRNAs between low and high objective response rate (ORR) groups. Additionally, two lncRNAs are correlated with immune-related adverse …

Contemporary Opportunities And Potential Of Auger Electron-Emitting Theranostics, Seok-Yong Lee, H Charles Manning

Faculty, Staff and Student Publications

Recent breakthroughs in radiopharmaceutical (RP) therapy have emerged interest in employing Auger electron (AE)-emitting radionuclides as potential agents for precise theranostics. AE provides energy with exceptional localization due to their short tissue penetration range (TPR, < 10 nm), rendering them particularly effective for targeting nuclear DNA in tumor cells. In this context, AE-emitting radionuclide therapy (AE-emitting RLT) enables the targeted destruction of tumor cells while reducing harm to adjacent healthy tissue, a significant challenge in this field. Preclinical and early clinical investigations reveal the efficacy of AE-emitting RLTs in the theranostics of diverse malignancies, such as glioblastoma, prostate cancer, and neuroendocrine tumors. Notwithstanding these developments, challenges and limitations persist regarding dosimetry, delivery efficiency, and the treatment of radiotoxicity. A new paradigm is being developed to tackle the obstacles encountered by integrating molecular target markers (e.g., PARP) that function near the nucleus to improve the intranuclear delivery efficiency of AE-emitting radionuclides. Novel radiochemical methods such as these have facilitated the more stable and efficient labeling of biomolecules with AE-emitting radionuclides. Also, recent advances in DNA-molecular targeting, nanoparticles, nucleic acid/protein engineering, click- or bioorthogonal conjugation chemistry, and artificial intelligence (AI)-based structure modeling present concrete opportunities to overcome these limitations. Moreover, the integration of diagnostic imaging companion platforms employing theranostic radioisotope pairings facilitates real-time assessment of therapeutic efficacy and biodistribution, resulting in the formulation of enhanced treatment regimens. This review summarizes the prior development, recent advancements, barriers in clinical implementation, and future perspective of AE-emitting RLTs.