Digital Commons Network^™

Land Use Influences Dissolved Organic Matter Composition In The U.S. Coastal Critical Zone Network, Aleksandar I. Goranov, Elizabeth V. Whitney, Brian R. Moyer, Katherine L. Tully, Patrick G. Hatcher, Yu-Ping Chhin

Chemistry & Biochemistry Faculty Publications

Coastal watersheds are highly productive biogeochemical systems supporting robust coastal fisheries and contributing significantly to the marine gross primary production flux. These ecosystems are comprised of civil infrastructure, farms, forests, and marshes, and their diversity is reflected in the quantity and quality of dissolved organic matter (DOM). Here, we assess the role of farming in influencing DOM from surface waters of six coastal tidal creeks adjacent to forest and farm sites in the US Critical Zone Network. Molecular fingerprinting using electrospray ionization - Fourier transform - ion cyclotron resonance - mass spectrometry revealed that farm-influenced DOM was enriched in nitrogen-, …

Multidentate Surfactant-Dependent Synthesis Of Giant Iridium Superstructures, Ramjee Balasubramanian, Maeren E. Hill

Chemistry & Biochemistry Faculty Publications

Giant superstructures of iridium, comprised of smaller spherical and slightly larger anisotropic nanoparticles, were synthesized by reducing iridium chloride in the presence of resorcinarene, a class of tetrameric macrocyclic polyphenols, with sodium borohydride in ethanol in 30 min under mild conditions. These superstructures were characterized by a range of techniques including TEM, HRTEM, EDS and other spectroscopic methods. The impact of the macrocyclic surfactant, its features and reaction conditions in dictating the formation of giant iridium superstructures was evaluated. The packing density of nanoparticles in these giant iridium superstructures could be altered qualitatively by varying the duration of the reaction, …

Co-Curricular Science Experiences Support Undergraduate Students' Science Gpa, Degree Completion, Workforce Entry, And Motivation, Lisa Linnenbrink-Garcia, Tony Perez, Stacy J. Priniski, Sharlyn Ferguson-Johnson, John Keane, Alexandra Lee, Kristy A. Robinson, You-Kyung Lee, Goun Choi, Matthew J. Schell, Danielle N. Berry, Rochelle Schwatz-Bloom

STEMPS Faculty Publications

Science co-curricular experiences (SciXP)-such as research experiences and internships-are a common, yet understudied, strategy to enhance undergraduates' science career pursuit. Using a doubly robust method to account for initial differences in science motivation, academic readiness, and career intentions, we investigated whether SciXP participation across four years of college predicted undergraduates' (N = 1984) science achievement, career persistence, and motivation at the end of college and after graduation. Participation in science co-curricular experiences was positively associated with science GPA, earning a science degree, being in a more science-intensive career one to two years post-graduation, and viewing science as important and useful …

Dysregulation Of Alternative Splicing Patterns In The Ovaries Of Reproductively Aged Mice, Adnan T. Alsamaraee, Vanessa L. Correll, Julius O. Nyalwidhe, Pavla Brachova, Nehemiah S. Alvarez

Department of Biomedical and Translational Sciences Faculty Publications

Female reproductive aging is characterized by progressive deterioration of ovarian function, yet the molecular mechanisms driving these changes remain incompletely understood. Here, we used long-read direct RNA-sequencing to map transcript isoform changes in mouse ovaries across reproductive age. Comparing young and aged mice after controlled gonadotropin stimulation, we identified widespread alternative splicing changes, including shifts in exon usage, splice site selection, and transcript boundaries. Aged ovaries exhibited increased isoform diversity, favoring distal start and end sites, and a significant rise in exon skipping and intron retention events. Many of these age-biased splicing events altered open reading frames, introduced premature stop …

Recent Advances In Bioceramics, Fundamental Properties And Future Perspective In Biomedical Applications ‒ A Review, Ayesha Younas, Muhammad Umar Aslam Khan, Mohd Faizal Binte Abdullah, Lobat Tayebi, Shuanghu Wang, Abdalla Abdal-Hay, Yichi Xu

Electrical & Computer Engineering Faculty Publications

Bioceramics are important biomaterials in biomedical engineering because of their biocompatibility, bioactivity, osteoconductivity, and structural resemblance to actual bone tissue. In recent years, materials science and nanotechnology have enabled the use of bioceramics in bone regeneration, dental restoration, tissue engineering, drug delivery systems, and implantable medical devices. This comprehensive review covers advances in bioceramics, including calcium phosphates, hydroxyapatite (HAp), tricalcium phosphate, bioactive glasses, zirconia, alumina, and multifunctional ceramic nanocomposites. Priority is given to techniques such as additive manufacturing, 3D printing, sol-gel processing, electrospinning, and nanostructuring to improve mechanical strength, porosity, bioactivity, and cell interactions. Recent advances include ion doping, surface …

Trigonometric Continuous-Variable Gates And Hybrid Quantum Simulations Of The Sine-Gordon Model, Tommaso Rainaldi, Victor Ale, Matt Grau, Dmitri Kharzeev, Enrique Rico, Felix Ringer, Pubasha Shome, George Siopsis

Physics Faculty Publications

Hybrid qubit-qumode quantum computing platforms provide a natural setting for simulating interacting bosonic quantum field theories. However, existing continuous-variable gate constructions rely predominantly on polynomial functions of canonical quadratures. In this work, we introduce a complementary universality paradigm based on trigonometric continuous-variable gates, which enable a Fourier-like representation of bosonic operators and are particularly well suited for periodic and non-perturbative interactions. We present an ancilla-based framework for implementing trigonometric gates with arguments given by arbitrary Hermitian functions of qumode quadratures. The protocol yields unitary gates deterministically, and non-unitary gates through probabilistic post-selection. As a concrete application, we develop a hybrid …

Revisiting Nasal Polyp Scoring In Clinical Trials: Interpretive Variability And The Need For Standardization, Leigh J. Sowerby, Babak Pourmomenarabi, Antonino Maniaci, Olivia Ginty, Joseph Khristian Han

Department of Otolaryngology (ENT) Faculty Publications

[Introduction] Borish et al. provided an excellent review highlighting methodological variability among the six pivotal Phase III trials [1]. One critical yet overlooked issue is the inconsistent application of the endoscopic nasal polyp score (NPS), a primary outcome measure in all trials.

Depemokimab: A Twice Yearly Anti-Il 5 Biologic For Chronic Rhinosinusitis With Nasal Polyps (Crswnp) - A Narrative Review, Marn Joon Park, Joseph K. Han, Kent K. Lam

Department of Otolaryngology (ENT) Faculty Publications

Depemokimab is a monoclonal antibody that targets interleukin-5 with enhanced binding affinity and an extended terminal elimination half‑life of 6-8 weeks. The unique pharmacodynamic features of depemokimab enable sustained suppression of type 2 inflammation with twice‑yearly subcutaneous dosing. This narrative review provides details of depemokimab's molecular profile, pharmacokinetics, and pharmacodynamics and results regarding the clinical efficacy and safety of depemokimab from recently published Phase 3 clinical trials for the treatment of chronic rhinosinusitis with nasal polyposis (CRSwNP). In 528 severe adult CRSwNP patients (ANCHOR‑1/‑2 trials), depemokimab achieved Δ total endoscopic nasal polyp score by -0.70 (p <  .001) and Δ nasal obstruction verbal response scale by -0.24 (p = .003) at week 52, compared to placebo. Twice‑yearly 100 mg depemokimab provides durable eosinophil suppression and with a safety profile comparable to placebo in Phase 3 trials for CRSwNP. Future work should refine biomarkers and assess comparative cost‑effectiveness and long‑term adherence, safety, and effectiveness.

Dupilumab In Chronic Rhinosinusitis Without Nasal Polyps: Randomized Phase 2 Trial (Orion), Stella E. Lee, Anju T. Peters, Philippe Gevaert, Joseph K. Han, Claus Bachert, Francisco Moreira Da Silva, Andrés Rosenblüt, Chih-Chi Hu, Jennifer Maloney, Paolo Caferra, Adrianna Michalak, Andrew P. Fontenot, Lacey B. Robinson, Neelam A. Phadke

Department of Otolaryngology (ENT) Faculty Publications

BACKGROUND: Chronic rhinosinusitis (CRS) is often driven by type 2 inflammation and is characterized by nasal obstruction/ discharge, facial pain/pressure, and/or reduced smell, either with or without nasal polyps (CRSwNP or CRSsNP).

OBJECTIVE: To test whether dupilumab improves radiographic features in CRSsNP. Methods: ORION (NCT04678856), a phase 2, randomized, multicenter, double blind, placebo-controlled study, assessed dupilumab efficacy and safety in adults with uncontrolled CRSsNP. Patients were randomized 1:1 to dupilumab or placebo for 24 to 52 weeks. Endpoints included changes from baseline at week 24 in Lund–Mackay computed tomography (LMK-CT) score (dupilumab only [primary] and vs placebo [secondary]), sinus Total …

Indirect Treatment Comparison Of Tezepelumab Versus Other Biologics In Severe Chronic Rhinosinusitis With Nasal Polyps: A Systematic Literature Review And Network Meta-Analysis, Joseph K. Han, Joaquim Mullol, Claire Hopkins, Oliver Pfaar, Martin Desrosiers, Jason Steenkamp, Danny Gibson, Santiago Zuluaga Sanchez, Andrew Foster, Christopher S. Ambrose

Department of Otolaryngology (ENT) Faculty Publications

Introduction

This study compared the efficacy of tezepelumab with other approved biologics and endoscopic sinus surgery (ESS) using indirect treatment comparisons (ITCs) in adults with severe, uncontrolled chronic rhinosinusitis with nasal polyps (CRSwNP).

Methods

Randomized controlled trials (RCTs) identified via a systematic literature review (SLR) were synthesized in a network meta-analysis (NMA). Outcomes included change from baseline in nasal polyp score (NPS), nasal congestion/obstruction score (NCS/NOS), difficulty with sense of smell (DSS), Sino-Nasal Outcome Test-22 (SNOT-22) score, Lund Mackay score (LMS), time to nasal polyposis (NP) surgery decision, proportions requiring NP surgery or systemic corticosteroids (SCS), time to SCS use, …

The Devil Is In The Det[Ai]Ls: Ai Agents, Ghost Students, And The Crisis Of Verified Presence In An Agentic Ai World, Aras Bozkurt, Helen Crompton, Caroline Fell Kurban

STEMPS Faculty Publications

The transition from reactive Generative Artificial Intelligence (GenAI) to agentic AI systems marks a categorical shift in digital education, moving beyond simple content generation to goal-oriented, autonomous execution. This paper explores the emergence of the “ghost student”: a digital surrogate created by the coupling of Large Language Models (the “mind”) and agentic AI browsers (the “body”). These entities are capable of navigating Learning Management Systems (LMS), engaging with content, and completing assessments with human-like mimicry, often rendering the actual learner’s presence optional. We argue that this phenomenon creates a verification gap that traditional proctoring and detection tools are structurally unable …

The Impact Of Substance Abuse Problems And Serious Mental Illness/Serious Emotional Distress On Post-Discharge Residential Status Among Clients With Behavioral And Cognitive Disorders: Evidence From Samhsa Mh-Cld Data, Eden Moges, Norma Rochez, William Peycha, Aditya Chakraborty

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

BACKGROUND: Behavioral and cognitive disorders can undermine housing stability, a key determinant of mental health recovery, with persistent disparities across demographic and socioeconomic groups. This study examined the associations of substance abuse problems (SAP) and serious mental illness/serious emotional distress (SMISED) with residential status at discharge from mental health facilities.

METHODS: This cross-sectional study used the utilized data from the Substance Abuse and Mental Health Services Administration (SAMHSA). Descriptive statistics were used to summarize demographic characteristics, whereas univariate and multivariable logistic regression models were employed to assess associations between the covariates and the residential outcome, adjusting for a variety of …

Gender Differences In The Association Between Adverse Childhood Experiences And Drug Use: Findings From A Community-Based Survey In China, Hongyun Fu, Elizabeth Monk-Turner, Xiushi Yang

Department of Pediatrics Faculty Publications

Background

While adverse childhood experiences (ACEs) are widely recognized risk factors for behavioral health problems, including drug use, prior research has largely been conducted in Western countries, focused primarily on males, and relied on convenience samples without comparison groups of nonusers. Limited work has examined the impact of ACEs on drug use in non-Western contexts. This study examines gender differences in the relationship between ACEs and drug use in China, using data from a population-based probability sample survey.

Methods:

Cross-sectional data were collected in 2019 from one city in Yunnan Province in Southwest China and one city in Guangdong Province …

Identifying Relevant Covariates In Rna-Seq Analysis By Pseudo-Variable Augmentation, Yet Nguyen, Dan Nettleton

Mathematics & Statistics Faculty Publications

RNA-sequencing (RNA-seq) technology allows for the identification of differentially expressed genes, which are genes whose mean transcript abundance levels vary across conditions. In practice, RNA-seq datasets often include covariates that are of primary interest in addition to a set of covariates that are subject to selection. Some of these covariates may be relevant to gene expression levels, while others may be irrelevant. Ignoring relevant covariates or attempting to adjust for the effect of irrelevant covariates can compromise the identification of differentially expressed genes. To address this issue, we propose a variable selection method that uses pseudo-variables to control the expected …

Utilizing Machine Learning Techniques For Computer-Aided Covid-19 Screening Based On Clinical Data, Honglun Xu, Andrews T. Anum, Michael Pokojovy, Sreenath Chalil Madathil, Yuxin Wen, Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Scott Moen, Eric Walser

Mathematics & Statistics Faculty Publications

The COVID-19 pandemic has highlighted the importance of rapid clinical decision-making to facilitate the efficient usage of healthcare resources. Over the past decade, machine learning (ML) has caused a tectonic shift in healthcare, empowering data-driven prediction and decision-making. Recent research demonstrates how ML was used to respond to the COVID-19 pandemic. This paper puts forth new computer-aided COVID-19 disease screening techniques using six classes of ML algorithms (including penalized logistic regression, random forest, artificial neural networks, and support vector machines) and evaluates their performance when applied to a real-world clinical dataset containing patients’ demographic information and vital indices (such as …

Changepoint Analyses Confirms Global Tropical Cyclone Frequency Decline, Michael Wehner, Thomas Fisher, Norou Diawara, Robert Lund

Mathematics & Statistics Faculty Publications

Changes in tropical cyclone frequencies as the climate warms is a topic of significant current debate [1, 2]. There is no accepted theory of how tropical cyclogenesis might respond to a warmer ocean-atmosphere system as multiple controlling factors exist [3–7]. Anthropogenic warming of surface ocean temperatures due to increased greenhouse gas concentrations [8] increases the potential for tropical cyclogenesis [9–11]; however, realized cyclogenesis also requires an initial local disturbance [12–16] to develop. Most multi-decadal tropical cyclone permitting climate models (i.e. resolutions of 15-50km) exhibit frequency decreases in warmer climates, despite the increase in tropical cyclogenesis potential [17–25]. In this paper, …

Wearable Biosensors For Continuous Monitoring Of Chronic Kidney Disease: Materials, Biofluids, And Digital Health Integration, Anupamaa Sivasubramanian, Shankara Narayanan, Gymama Slaughter

Center for Bioelectronics Publications

Chronic kidney disease (CKD) is a progressive and irreversible disorder affecting over 850 million individuals globally and is associated with significant morbidity, mortality, and healthcare burden. Conventional diagnostic approaches rely on intermittent laboratory measurements, including serum creatinine, estimated glomerular filtration rate (eGFR), and urinary albumin, which provide limited temporal resolution and fail to capture dynamic physiological changes. Recent advances in wearable biosensing technologies offer new opportunities for continuous, non-invasive monitoring of biochemical and physiological markers relevant to renal function. This review provides a comprehensive analysis of wearable biosensors for CKD monitoring, focusing on sensing mechanisms (electrochemical, optical, and field-effect transistor), …

Ai-Assisted Surface-Enhanced Raman Spectroscopy For Cardiovascular Diagnostics: From Plasmonic Materials To Clinical Translation, Anju Joshi, Gymama Slaughter

Center for Bioelectronics Publications

Raman spectroscopy (SERS) has emerged as a powerful analytical technique, offering molecular fingerprint specificity and ultrasensitive detection of cardiac biomarkers. Recent advances in plasmonic nanostructures, surface functionalization strategies, and flexible sensing platforms have significantly improved the analytical performance of SERS-based biosensors. In parallel, the integration of artificial intelligence (AI) and machine learning has enabled robust interpretation of complex spectral datasets, facilitating automated biomarker classification and improved diagnostic accuracy in heterogeneous biological environments. Despite these advances, the field remains fragmented, with limited integration between nanomaterial design, biomarker selection, and data-driven analysis, and persistent challenges related to reproducibility, standardization, and clinical validation. …

Modulation Of Prussian Blue Redox Signaling By Molecular Imprinting For Reagent-Free Electrochemical Detection Of Emtricitabine, Abdellatif Ait Lahcen, Gymama Slaughter

Center for Bioelectronics Publications

Reagent-free electrochemical sensors offer significant benefits for rapid, affordable point-of-care drug testing. In this study, we introduce a novel, reagent-free electrochemical sensor based on a molecularly imprinted polymer (MIP) specifically designed for the selective detection of Emtricitabine (FTC), a common antiretroviral used in HIV therapy. The sensor uses laser-induced graphene (LIG) electrodes, renowned for their high conductivity and porosity, ideal for electrochemical sensing. To enable reagent-free operation, the LIG surface was electrochemically coated with Prussian Blue, serving as a redox-active layer. Next, an MIP-PPy film was electropolymerized onto the Prussian Blue surface in the presence of FTC as a template, …

Ion-Imprinted Polymer-Based Sensors For Toxic Metal-Ion Detection In Water: Coordination Chemistry, Transduction Strategies, And Environmental Applications, Ghita Yammouri, Gymama Slaughter

Center for Bioelectronics Publications

Toxic metal contamination in aquatic environments remains a persistent threat to human health and ecosystems. Yet, the high cost, infrastructure demands, and centralized nature of conventional analytical methods constrain routine monitoring. Ion-imprinted polymers (IIPs), a subclass of molecularly imprinted polymers, have emerged as promising synthetic recognition materials for metal-ion sensing because they generate coordination-defined binding sites with high selectivity, chemical stability, low cost, and reusability. This review summarizes recent advances in Ion-imprinted polymer (IIP)-based sensing technologies for toxic metal-ion detection in water from 2016 to 2026. It examines the fundamental recognition chemistry of IIPs, major synthesis strategies used to generate …

Stiffening Of Soft Silicone Upon Deep Uv Treatment As Characterized Using Nanoindentation, Amanda Wilder, Zaria Booth, Caden Obermeyer, Saika Sharmin, Venkat Maruthamuthu

Mechanical & Aerospace Engineering Faculty Publications

Silicones are elastomers that have a wide variety of uses, including biomedical applications such as the coating of biomedical devices and as implants. Soft silicones with mechanical properties similar to those of biological tissues have particularly gained use as substrates for cell culture in mechanobiology studies. In this context, it would be desirable to be able to alter their surface mechanical properties with a relatively simple physical treatment. While deep ultraviolet (deep UV) or ultraviolet C (UV-C) treatment has been previously used as a surface treatment method for stiffer silicones formulations, the effect of this treatment on soft silicones relevant …

Medical Image Feature Extraction And Selection Based On Inception V3 And Gini Index For Cervical Cancer Cells Identification, Rachida Assawab, Mounir Ouzir, Badreddine Benyacoub, Abderrahim Electrochemical Sensor For Tenofovir Allati, Ismail El Moudden

Research and Infrastructure Service Enterprise (RISE) Faculty Publications

Background: Cervical cancer remains the fourth most common cancer in women globally, with 604,000 new cases annually. Early detection through cytological screening is critical, but manual interpretation suffers from high false negative rates and requires expert pathologists often unavailable in resource-limited settings.

Methods: We developed a novel hybrid framework combining InceptionV3-based deep feature extraction with Gini Index feature selection for automated cervical cancer cell classification. Using the Herlev dataset (917 Pap smear images: 242 normal, 675 abnormal), we extracted 2048 deep features and applied systematic feature selection to identify optimal discriminative subsets. Comprehensive clustering analysis (K-means, K-medoid, Fuzzy clustering) validated …

Neurotensin Drives Theca Cell Migration During Ovulation In Primates, Jessica S. Miller, Megan A. G. Sage, Thomas E. Curry Jr., Diane M. Duffy

Department of Biomedical and Translational Sciences Faculty Publications

Theca cells are a critical steroidogenic cell type of the ovarian follicle and corpus luteum. The ovulatory luteinizing hormone (LH) surge (or human chorionic gonadotropin (hCG)) stimulates theca cell relocation from the stroma surrounding the dominant follicle to full integration into the developing corpus luteum. Luteinizing hormone/human chorionic gonadotropin also stimulates granulosa cells to produce local mediators of ovulation, including the peptide neurotensin (NTS). To determine if hCG-stimulated NTS regulates theca cell relocation within the ovulatory follicle, vehicle or an NTS receptor antagonist was injected into a macaque dominant follicle, and ovaries were removed 48 h after hCG administration. Additional …

P38 Mapk Is Involved In Epigenetic Regulation Of Fibrotic Genes In Replication Induced Senescence In Lung Fibroblasts, Shan Zhu, Jennifer Q. Zhou, Kan Wang, Ming-Lei Guo, Yan Sanders

Department of Biomedical and Translational Sciences Faculty Publications

Fibroblast activation is essential for tissue repair following injury; however, prolonged activation drives pathological fibrosis. Idiopathic pulmonary fibrosis (IPF), a progressive and age-associated lung disease, is characterized by aberrant fibroblast activation, with increasing evidence implicating senescent and near-senescent fibroblasts in its pathogenesis. However, the underlying mechanisms remain poorly defined. In this study, we investigated whether histone modification is involved in TGF-β1 treated lung fibroblasts and contributes to the fibrotic phenotype. Human IMR90 lung fibroblasts at low and high population doubling levels (LPDL and HPDL), as well as primary IPF fibroblasts, were used in this study. In response to TGF-β1, both …

Brief Pulses Of High-Level Fluid Shear Stress Enhance Metastatic Potential And Rapidly Alter The Metabolism Of Cancer Cells, Amanda N. Pope, Devon L. Moose, Guy O. Hudson, Hank R. Weresh, Marion R. Dykstra, Aabha Y. Joshi, Patrick Breheny, Eric B. Taylor, Michael D. Henry

Department of Biomedical and Translational Sciences Faculty Publications

Circulating tumor cells (CTCs) face challenges to their survival, including mechanical and oxidative stresses that are different from cancer cells in solid primary and metastatic tumors. The impact of adaptations to the fluid microenvironment of the circulation on the outcome of the metastatic cascade is not well understood. Here, we find that cancer cells exposed to brief pulses of high-level fluid shear stress (FSS) exhibit enhanced invasiveness and anchorage-independent proliferation in vitro and enhanced metastatic colonization/tumor formation in vivo. Cancer cells exposed to FSS rapidly alter their metabolism in a manner that promotes survival by providing energy for cytoskeletal remodeling …

Deletion Of Stim1 In Treg Cells Protects Against Lung Fibrosis And Associated Cardiovascular Complications In A Pre-Clinical Mouse Model, Nagaraja Nagre, Balaji Srinivas, Nicholas Richards, Ryan Washington, Gregory Nicholson, Yan Sanders, Beata Kosmider, Khalid Matrougui

Department of Biomedical and Translational Sciences Faculty Publications

Idiopathic pulmonary fibrosis (IPF) is a progressive and incurable lung disease characterized by excessive tissue remodeling and impaired gas exchange. Evidence highlights the critical interplay between immune regulation, calcium signaling, and redox biology implications in the pathogenesis of fibrotic lung disease. Regulatory T-cells (Tregs), known to modulate cardiovascular and immune function, are diminished in IPF, contributing to inflammation and tissue damage. Here, we demonstrate that the stromal interaction molecule 1 (STIM1), a key regulator of intracellular calcium homeostasis, is significantly upregulated in Treg cells isolated from IPF patients and mice subjected to bleomycin-induced lung injury. This upregulation is associated with …

Senescent Fibroblasts In Aging And Pulmonary Fibrosis, Sara B. Palega, Aiwei Y. Borengasser, Yan Y. Sanders

Department of Biomedical and Translational Sciences Faculty Publications

Aging is a major risk factor for many chronic lung diseases, including Idiopathic Pulmonary Fibrosis (IPF), a fatal and incurable disease characterized by progressive fibrotic remodeling. Age-associated structural alterations, impaired regenerative capacity, and dysregulated cellular signaling collectively create a pro-fibrotic microenvironment. A central driver of this pathological shift is the accumulation of senescent cells, which undergo irreversible growth arrest and develop a robust pro-inflammatory senescence-associated secretory phenotype (SASP). Emerging evidence identifies senescent lung fibroblasts as critical mediators of IPF pathogenesis. These cells promote excessive extracellular matrix deposition, myofibroblast differentiation, and tissue stiffening, while simultaneously impairing epithelial regeneration. Together, these effects …

Inhibition Of Histone Demethylase Lsd1 Suppresses Cd47 Expression And Enhances Efficacy Of Cd47 Blockade In Breast Cancer, Fengjie Jiang, Yu Shen, Bing Li, Michael Henry, Nancy Davidson, Yi Huang

Department of Biomedical and Translational Sciences Faculty Publications

Background CD47 functions as a “don’t eat me” checkpoint, inhibiting macrophage-mediated phagocytosis in triple-negative breast cancer (TNBC). While anti-CD47 therapies can restore immune surveillance, their efficacy in TNBC is often limited by immune evasion and drug development challenges.

Methods We investigated the crosstalk between the histone demethylase lysine-specific demethylase 1 (LSD1) and CD47 signaling in TNBC using in silico datasets, isogenic cell lines, conditional BRCA1 knockout models, and syngeneic mouse models. Techniques such as immunohistochemistry, multiplex immunofluorescence, immunoprecipitation, protein ubiquitination, chromatin immunoprecipitation, chemotaxis, flow cytometry, and phagocytosis assays were employed to examine the epigenetic regulation of CD47 by LSD1 and …

Prepregnancy Overweight And Obesity In Kuwait Birth Cohort Study, Abdullah Al-Taiar, Ali H. Ziyab, Eelaf A. Husain, Maryam M.Y. Mohammad, Maryem A. Shamsah, Noor Salah Alali, Reem Sharaf-Alddin, Majeda S. Hammoud

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Objectives: This study aimed to estimate the prevalence of prepregnancy obesity and overweight, and to identify a set of sociodemographic factors that could guide weight management interventions for women prior to conception.

Design, Sample, and Measurements: Pregnant women (N = 989) were recruited in the Kuwait Birth Cohort Study during the period June 2017 to February 2020. Prepregnancy weight and height were self-reported, while current weight and height were measured in a standardized procedure. Data on sociodemographic factors were collected through face-to-face interviews conducted by a trained data collector. Multinomial logistic regression was used to investigate the association between sociodemographic …

A Cross-Sectional Study Investigating The Relationship Between The Fto Gene Polymorphism In Relation To Obesity Traits And Vitamin D Status In Adolescence, Ahmad Al-Serri, Rabeah A. Al-Temaimi, Abdullah Al-Taiar, Lemia Shaban, Reem Al-Sabah, Abdur Rahman, Ali H. Ziyab

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background and Objective: Obesity affects 18%-25% of adolescents globally and represents a major public health challenge. Genetic factors contribute to obesity susceptibility, with the FTO gene variant rs9939609 consistently associated with obesity in adults; however, evidence in adolescents is limited. This study examined the association between FTO and obesity traits in adolescents and explored potential interactions with vitamin D status.

Methods: In this cross-sectional study, 509 adolescents aged 10-15 years were genotyped for FTO rs9939609. Obesity traits, including BMI, BMI z-score, and waist circumference, were assessed. Associations with genotype were analyzed using an additive genetic model, and potential interactions with …