Life Sciences Commons^™

“Shaking The Ladder” Reveals How Analytic Choices Can Influence Associations In Nutrition Epidemiology: Beef Intake And Coronary Heart Disease As A Case Study, Colby J Vorland, Lauren E O'Connor, Beate Henschel, Cuiqiong Huo, James M Shikany, Carlos A Serrano, Robert Henschel, Stephanie L Dickinson, Keisuke Ejima, Aurelian Bidulescu, David B Allison, Andrew W Brown

Children’s Nutrition Research Center Staff Publications

Nutrition epidemiological models involve many analytic decisions, such as defining exposures, selecting which covariates to include, or configuring variables in different ways. We explored the impact of analytical decisions on conclusions in nutrition epidemiology using self-reported beef intake and incident coronary heart disease as a case study. We used REasons for Geographic and Racial Differences in Stroke (REGARDS) data, and selected covariates and their configurations from published literature to recapitulate common models used to assess associations between meat intake and health outcomes. Three model sets were designed: sets one and two used continuous and quintile-defined beef intakes, respectively, each with …

A Pragmatic Guide To Data Integration For Pediatric Researchers: The Nuts And Bolts Of Mixed Methods Analysis, Kathleen A Knafl, Janet A Deatrick, Veronica M Swallow, Yelena P Wu, Debbe Thompson

Children’s Nutrition Research Center Staff Publications

Objective: To provide pragmatic guidance on data analysis, integration, and reporting guidance for investigators new to mixed methods research.

Methods: Three core mixed methods designs (convergent, explanatory sequential, and exploratory sequential) are described. Key decision points related to data integration-specifying intent, data selection, data preparation, integration strategies, use of analysis software, reporting-are explained, including comparison of decision points across the different mixed methods designs.

Results: Recommendations for addressing key decisions during analysis are provided and supported with published examples from mixed methods studies focused on pediatric populations.

Conclusions: Integration of qualitative and quantitative data is the defining characteristic of mixed …

Sustainable Community-Wide Model To Enhance Cancer Data Usage And Utility, Emily S Boja, Mousumi Ghosh, Ying Huang, Tung-Shing Mamie Lih, Rawan Shraim, Gregory Wheeler, Diana Thomas, Rakesh Khanna, Stephanie Sandor, Jinghui Zhang, Sapna Oberoi, Nicolas J Llosa, Aditya Suru, Fernanda Silva Michels, Eric Durbin, Anna Fernandez, Lucy Han, James Galbraith, Yin Lu, Brian Furner, James H Tanis, Michael Watkins, David Higgins, Gavriel Matt, Xin Zhou, Yang Li, Marcin Cieslik, Jamie Estill, Michael Sierk, Yanling Sun, Weiping Ma, Joseph Flores-Toro, Freddie Pruitt, Subhashini Jagu, Elmer A Fernández, Daniela Orschanski, Stephanie J Spielman, Jaclyn Taroni, Trinh Nguyen, Brian Capaldo, Erin Beck, Tanja Davidsen, Johanna Goderre Jones, Minghong Ward, Anne Sturcke, Jennifer M Torres Del Valle, Sean Hanlon, Danielle Daee, Brandon Wright, Nathaniel Boyd, Heather Basehore, Liang Liu, Ying Hu, Daoud Meerzaman, Huiqing Li, Ying Wu, Gregory H Reaman, Erin Rudzinski, Jack F Shern, Brigitte Widemann, Warren Kibbe, Jaime Guidry Auvil

Children’s Nutrition Research Center Staff Publications

Despite vast investments in data collection, generation, and sharing from childhood cancer studies, for example, Gabriella Miller Kids First Research Program, Childhood Cancer Data Initiative, and other efforts, secondary use of data remains a challenge especially for rare diseases. The National Cancer Institute (NCI) Office of Data Sharing (ODS) aimed to promote FAIR (Findable, Accessible, Interoperable, Reusable) data sharing practices to enhance data utility, accelerate discovery, and foster interdisciplinary collaboration. NCI ODS launched its inaugural Data Jamboree focusing on childhood cancer alongside its third Annual Symposium in September 2025. Over 120 participants with diverse backgrounds coalesced into 23 multidisciplinary teams …

The Effects Of Stress-Related Hormones On Excitatory Synapse Formation, Autumn C. Garvey

Honors Undergraduate Theses

Stress profoundly influences brain function through neuromodulatory hormones that regulate synaptic plasticity, yet how temporal patterns of hormone exposure shape excitatory synapse formation remains poorly understood. This study investigates how exposure to stress hormones, norepinephrine and cortisol, affects excitatory synapse development. While existing research primarily compares concentration models, real-world stress occurs in variable patterns that may produce distinct neural outcomes. To address this gap, differentiated Neuro2A neuronal cells are exposed to norepinephrine or cortisol under a continuous treatment paradigm designed to model chronic stress conditions. Following treatment, immunofluorescence imaging is utilized to quantify excitatory synapse formation through analysis of presynaptic …

Ornithine Metabolism In Retinal Pigment Epithelium And Retina And Implications In Gyrate Atrophy, Artjola Puja

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ornithine aminotransferase (OAT) is a mitochondrial enzyme that regulates ornithine metabolism by converting ornithine to pyrroline-5-carboxylate, a precursor for proline and glutamate synthesis. Deficiency of OAT causes systemic ornithine accumulation and leads to gyrate atrophy (GA) of the choroid and retina, a hereditary disorder characterized by progressive chorioretinal degeneration and irreversible vision loss. Chorioretinal atrophy typically starts at the mid-peripheral retina and progresses toward the macula. Although elevated ornithine is considered toxic to the eye, how ornithine is metabolized in ocular tissues and why OAT deficiency causes selective, region-specific vulnerability remain unclear. We combined ex vivo and in vivo stable …

Manuka Honey Modulates Oxidative Stress In Neuro2-A Cells Through Mitochondrial Regulation, Rachel Abramovici

Honors Undergraduate Theses

Manuka honey is known for its vital usage in wound healing, being an agonist towards fighting infections, and is an acting antioxidant [32]. Its main constituents are flavonoids and phenolic compounds, with methyl syringate (MSYR) being a major active ingredient. The specific compounds responsible for these antioxidant effects, particularly in the CNS, remain unclear. It is hypothesized that pre-treatment of mouse neuroblastoma cells with MSYR followed by hydrogen peroxide exposure will activate the AMPK/SIRT1/PGC-1a pathway, due to MSYR’s phenolic structure, and thus reduce oxidative stress and improve mitochondrial biogenesis. Hydrogen peroxide is a standard reactive oxygen species (ROS) treatment to …

35 Individuals With Huwe1-Related Neurodevelopmental Disorder And Suggested Clinical Evaluations, Mindy H. Li, Deziree L. Coleman, Kelsey Hogan, Danielle Luz, Lindsay Bhandari, Newell Belnap, Tiffany Busa, Charles Coutton, Klaus Dieterich, Svetlana Gorokhova, Clara Hildebrandt, Rachel Logan, Milena Mariani, Manuela Morleo, Vincenzo Nigro, John Pappas, Rachel Rabin, Kelly Schoch, Angelo Selicorni, Vandana Shashi, Rebecca Spillman, Jennifer Sullivan, Charlotte Tardy, Samantha A. Schrier Vergano, Brock Grill, Kristin Baranano

Department of Pediatrics Faculty Publications

HUWE1 (HECT, UBA, and WWE Domain Containing E3 Ubiquitin Protein Ligase1, OMIM 300697), located at Xp11.22, encodes a ubiquitin ligase that is highly conserved across species. Genetic variants in HUWE1 described in multiple independent studies cause X-linked intellectual disability, including in the patients identified by Juberg, Marsidi, and Brooks. This report describes 35 additional cases of individuals with variants in HUWE1 and suggested guidelines for clinical management. Our study includes several female cases, which have not been widely reported previously. Our findings confirm earlier reported clinical features including developmental delay, autism, hypotonia, short stature, and dysmorphic facial features as well …

Analyzing Early Medieval Perspectives Of Fetal Development, Nivedha Srinivasan

Honors Undergraduate Theses

This thesis examines early medieval perspectives of fetal development by analyzing two manuscripts: British Library, Cotton Tiberius A III and Leiden University, Vossianus lat. Q69. This study will investigate how knowledge of pregnancy was shared throughout England before the establishment of universities. Interest in medieval reproductive language has piqued in importance in recent years, especially due to modern legal debates surrounding reproductive rights. By examining descriptions of the nine months of fetal development in these two manuscripts, as well as in widely known earlier medical texts like Pliny’s Natural History and Vindicianus’ Gynaecia, this research explores how monastic writers in …

Exploring Anticholinergic Neurotoxicity: Diphenhydramine's Impact On Neuro-2a Cell Morphology, Expression, And Viability, Jordan B. Mcintyre

Honors Undergraduate Theses

Anticholinergic medications, such as diphenhydramine (commonly known as Benadryl), are increasingly recognized for their association with cognitive impairment and neurodegenerative disease. These medications, which inhibit the action of acetylcholine, a neurotransmitter essential for the formation and utilization of the central and peripheral nervous system, have been implicated in conditions such as dementia and may impact fundamental cellular processes like neurogenesis and cell proliferation. This study investigates the effects of diphenhydramine on neurogenesis when introduced to Neuro-2a cells during differentiation. For all studies cells were plated on coverslips or in 6-well plates with differentiation media containing 0 ng/mL, 50 ng/mL, …

Physiologic Markers Of Mortality In Acute Valve Syndrome: An Ischemic Physiology Score Stratifies Patient Risk, Omar Saleh, Nicholas J. Valle, Israa Saleh, Raymond Benza, Deepak R. Talreja, Matthew R. Summers

Department of Medicine Faculty Publications

Background: Acute valve syndrome (AVS) represents a high-risk phenotype of advanced valvular disease with largely uncharacterized risk heterogeneity. We aimed to validate an expanded AVS definition and develop a physiology-dependent risk stratification tool using available clinical markers.

Methods: This retrospective study analyzed 2380 patients undergoing aortic valve replacement for severe aortic stenosis and classified them as AVS (n = 1556) or progressive valvular disease (n = 824). The primary outcome was 1-year all-cause mortality. An L2-regularized logistic regression model was developed to predict 1-year mortality using admission laboratory markers and comorbidity burden. Model performance was assessed using nested cross-validation with …

Ultra-Processed Foods And The Cardiovascular-Kidney-Metabolic Continuum: Integrating Epidemiological, Multi-Omics, And Translational Evidence, Saiful Singar, Amirhossein Ataei Kachouei, Leandro Lantigua-Somoano, David Manley, Anthony Cardinale, Muhammad Zulfiqah Sadikan, Saurabh Kadyan, Donya Shahamati, Lorena Dias, Amber Wood, Cinthia Chavarria, Sara K. Rosenkranz, Neda S. Akhavan

Department of Medicine Faculty Publications

Cardiovascular-kidney-metabolic (CKM) syndrome integrates excess adiposity, metabolic dysfunction, kidney impairment, subclinical cardiovascular diseases, and clinical events along a staged continuum that invites unified prevention and treatment. Ultra-processed foods (UPFs) are a complex, high-prevalence exposure that may influence risk across CKM stages through nutrient profiles, additives, processing-induced compounds, and packaging-related contaminants. This review synthesizes epidemiologic, mechanistic, and translational evidence with attention to exposure definition and analytic rigor. We summarize NOVA-based UPF operationalization across dietary assessment tools, highlighting misclassification of mixed dishes, brand heterogeneity, and energy under-reporting, and we propose further examination of energy-adjusted models, calibration, and harmonized metrics. Observational studies consistently …

Hyperglycemia Detection From Single-Lead Ecg Using A Hybrid Cnn & Transformer Model, Adam Ayomikun Ogunjembola

Graduate Theses, Dissertations, and Problem Reports (ETD)

Diabetes Mellitus is known as high blood glucose. This high blood glucose level happens when the body has a problem with producing or using insulin. Insulin is a very important hormone that the pancreas makes to control how much glucose gets into the bloodstream and cells. Diabetes Mellitus has an effect on the body if it is not treated, such as damaging the blood vessels and nerves which can lead to stroke, kidney failure, heart attack and permanent loss of vision. Since people with diabetes need to measure their glucose levels in order to determine how much insulin or medicine …

Examining Widely Held Propositions On Human Dietary Protein Needs And Benefits: A Critical Review Of The Science That Shapes Both The Data And Our Understanding Of An Essential Macronutrient, Mitchell M Kanter, Sally Aaron, Steven N Austad, Andrew W Brown, Nicholas A Burd, Wayne W Campbell, Mark Cope, Teresa A Davis, John W Erdman, Miguel Freitas, Kristen Hicks-Roof, Samuel Klein, Wantanee Kriengsinyos, Dudley W Lamming, Donald K Layman, Heather J Leidy, Kevin C Maki, Richard D Mattes, Shalene Mcneill, Daniel R Moore, Stefan M Pasiakos, Stuart M Phillips, David Raubenheimer, Wendy Reinhardt, Nancy R Rodriguez, Stephen Simpson, Hans H Stein, Luc J C Van Loon, Connie M Weaver, David B Allison

Children’s Nutrition Research Center Staff Publications

The essentiality of protein in the human diet is unequivocal. Yet researchers, clinicians, and lay people often believe numerous propositions about dietary protein despite insufficient supporting or refuting data in some instances. To address this disconnect, and to "pressure-test" current beliefs about dietary protein, the Indiana University School of Public Health-Bloomington convened a workshop in February 2025 titled "Human Dietary Protein Needs and Benefits: A Critical Assessment of Postulated Propositions." More than 20 international experts discussed (1) methodologic issues affecting data acquisition and interpretation; (2) "optimal" dietary protein intakes and effects on muscle protein synthesis rates, muscle protein accretion, …

Cross-Sectional And Longitudinal Relationships Between Abdominal Fat Depots And Cardiometabolic Risk In A Sample Of Mexican Adolescents, Luis Ortíz-Hernández, Erica G Soltero, Miguel Camejo, Jesús Valdes

Children’s Nutrition Research Center Staff Publications

Background: The relationship between abdominal fat depots and cardiometabolic risk among youth is inconclusive due to the cross-sectional nature of existing studies and limitations in assessment methods. In this study, we examined cross-sectional and longitudinal associations of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) with cardiometabolic risk indicators among Mexican adolescents.

Methods: Participants (n = 169 at baseline and 134 at follow-up) were assessed for diastolic or systolic blood pressure (DBP or SBP), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides, glucose, and insulin. VAT and SAT were measured using magnetic resonance imaging. Measures …

Investigating The Role Of Traditional Chinese Herbal Medicine For Cancer Symptom Management In Older Adults: A Rapid Review, Isabelle C. Karshner

Honors Undergraduate Theses

Background: Patients with cancer often experience symptoms related to disease, complications, and treatment. One potential method of alleviating these symptoms is traditional Chinese herbal medications (TCHM). This rapid review explores the role of traditional Chinese herbal medications in treating cancer-related symptoms in older adults.

Purpose: The purpose of this rapid review is to gain and provide a better understanding of the effects of TCHM on cancer-symptom management in the older adult population. This review explores the association between TCHM and effects on cancer symptoms in older adults, including interactions, toxicity, and signs/symptoms of TCHM use that may be useful information …

A Complete Diploid Human Genome Benchmark For Personalized Genomics, Nancy F. Hansen, Nathan Dwarshuis, Hyun Joo Ji, Arang Rhie, Hailey Loucks, Glennis A. Logsdon, Mitchell R. Vallger, Jessica M. Storer, Juhyun Kim, Eleni Adam, Nicolas Alternose, Dmitry Antipov, Mobin Asri, Sofia Barreira, Stephanie C. Bohaczuk, Andrey V. Bzikadze, Sara A. Carioscia, Andrew Carroll, Kuan-Hao Chao, Yanan Chu, Arun Das, Peter Ebert, Adam English, Mark Fleharty, Laura E. Fleming, Giulio Formenti, Andrea Guarracino, Gabrielle A. Hartley, Katharine Jenike, Jenna Kalleberg, Yu Kang, Robert King, Josipa Lipovac, Mira Mastoras, Matthew W. Mitchell, Shloka Negi, Nathan D. Olson, Keisuke K. Oshima, Luis F. Paulin, Brandon D. Pickett, David Porubsky, Jane Ranchalis, Desh Ranjan, Mikko Rautiainen, Harold Riethman, Robert D. Schnabel, Fritz J. Sedlazeck, Kishwar Shafin, Mile Sikic, Steven J. Solar, Alexander P. Sweeten, Winston Timp, Justin Wagner, Dongahn Yoo, Ying Zhou, Erik Garrison, Evan E. Eichler, Michaeel C. Schatz, Andrew B. Stergachis, Rachel J. O'Neill, Karen H. Miga, Steven L. Salzberg, Sergey Koren, Justin M. Zook, Adam M. Phillippy

School of Medical Diagnostics & Translational Sciences Publications

Human genome sequencing typically relies on mapping reads to a reference genome to call variants, but this approach introduces technical biases, excluding duplicated and structurally polymorphic regions of the genome. To overcome this, we present a telomere-to-telomere genome benchmark with near-perfect accuracy across 99.4% of the diploid HG002 genome. This benchmark adds 701.4 Mb of autosomal sequence and both sex chromosomes (216.8 Mb), which were absent from prior benchmarks. We annotated genes and repeats on both haplotypes, including 19,956 protein-coding genes on the maternal haplotype and 19,190 on the paternal haplotype, and developed new methods to measure the accuracy of …

The Myopia Epidemic: Integrating Genetic, Environmental, And Epigenetic Pathways To Define A Critical Window For Intervention, Pranavika Balaji

UROP Posters

Myopia, or nearsightedness, has increased rapidly worldwide and is now a major public health concern caused by both genetic and environmental factors. Current understanding shows that too much near work, limited time spent outdoors, and prolonged screen use contribute to abnormal eye growth in individuals who may already have a genetic predisposition. At the molecular level, epigenetic changes and shifts in DNA activity, often influenced by environmental conditions, affect the signaling pathways that regulate eye development and may help explain why myopia is increasingly common among children. This paper synthesizes recent environmental, genetic, and epigenetic research to explain how these …

Reconsidering The Definition Of Triple-Negative Breast Cancer In The Immune Checkpoint Inhibitor Era: An Optimal Cut-Off Value For Hormone Receptor Percentage Of Her2-Negative Invasive Breast Cancer, Takeo Fujii, Toshiaki Iwase, Yu Shen, Jami Fukui, Naoto T Ueno

Faculty, Staff and Student Publications

The optimal cut-off values of estrogen receptor (ER) and progesterone receptor (PgR) expression to define the positivity of ER and PgR have been under discussion for over a decade but remain controversial. The American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) and the St. Gallen International Expert Consensus recommended that breast cancers with ≥1% of ER or PgR expression should be considered hormone receptor (HR)-positive tumors but ER/PR expression of 1% to 10% should be reported as HR-low positive; however, among HER2-negative disease, data on the overall benefit of adjuvant endocrine therapies for patients with HR-low positive disease is …

Thyroid Storm At Sea: A Case Report Of Algae-Induced Thyrotoxicosis, Alynna Knaub, Amanda Cecchini, John Janousek, Laura Strojny, Jairo Noreña, Zachary Pawlikowski

Department of Medicine Faculty Publications

Iodine-induced thyrotoxicosis (IIT), also known as the Jod-Basedow phenomenon, is a rare yet recognized cause of hyperthyroidism. While iodinated contrast is the most frequent trigger, iodine-rich supplements such as seaweed products or supplements can also precipitate thyrotoxicosis, particularly in individuals with prior chronic iodine deficiency or preexisting thyroid nodular disease. We present a case of thyroid storm following short-term ingestion of Irish sea moss as part of a “crash diet.” A 37-year-old woman with type 1 diabetes mellitus, well controlled on subcutaneous insulin therapy, presented with nausea and vomiting after 6 days of following a restrictive diet consisting solely of …

The Treatment Of Obesity In The Context Of The Obesity Paradox In Patients With Heart Failure: A Narrative Review, Pamela L. Alebna, Sarah Martey, Anurag Mehta, Carl J. Lavie, Salvatore Carbone

EVMS School of Health Professions Faculty Publications

Purpose of review

While excess adiposity is a known risk factor for incident heart failure ( HF), once the condition is established, observational data suggest that increased body mass index (BMI) may confer a survival advantage. This paradox has emphasized the underlying roles of cardiorespiratory fitness (CRF), and body composition, particularly lean mass (LM), in influencing clinical outcomes.

Recent findings

In this review, we explore the multifaceted nature of the obesity paradox in HF, with a focus on emerging anti-obesity incretin-mimetic therapies, such as glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and dual GLP-1/glucose-dependent insulinotropic polypeptide (GIP) receptor agonists. These agents …

Combating Antibiotic Resistance With Plasmid-Dependent Phages, Rhiannon T. Mariano

Electronic Theses & Dissertations (2024 - present)

The alarming rise of carbapenem-resistant bacteria poses an urgent global health threat, driven in large part by the horizontal spread of carbapenemase-encoding plasmids (Ma et al., 2023). These plasmids are often highly mobile and transmissible, enabling rapid dissemination of resistance genes across diverse bacterial populations. Their mobility is largely mediated by conjugation, a process dependent on the formation of pili, which serve as physical bridges for plasmid transfer between cells (Murray et al. 2022; San Millan and MacLean 2017; Virolle et al. 2020). Beyond their role in gene exchange, these pili also act as entry points for a unique class …

Managing Multi-Drug Resistance: An Evolutionary Game Theory And Optimal Control Approach, Shukhrat Nasrulloev

Theses and Dissertations

Multi-drug resistance is an evolutionary process in which treatment eliminates sensitive cells, allowing resistant clones to dominate. This thesis investigates this process using a framework integrating population dynamics, evolutionary game theory, and optimal control theory. We develop a two-population logistic growth model describing competition between drug-sensitive and drug-resistant cells under treatment, construct dose-dependent payoff matrices and replicator dynamics to characterize evolutionary competition, and derive a critical drug level D_crit = (r_S - rR)/(dS - d_R) at which resistant cells gain a fitness advantage. An optimal control problem is formulated via Pontryagin's Maximum Principle to identify schedules …

Chromnet: A Multi-Task Learning Framework For Cross-Cell Type Prediction Of 3d Chromatin Interactions Using Epigenetic Signals, Bin Wang, Shaokai Wang, Liqing Ding, Hongdong Li, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

The 3D organization of chromatin plays a fundamental role in gene regulation, cellular function, and disease mechanisms. However, current experimental techniques, such as Hi-C, remain costly and labor-intensive, limiting their application in large-scale and disease-related studies. To address this challenge, ChromNet is presented, a multi-task learning framework that integrates epigenetic signals across diverse cell types to enable high-precision prediction of chromatin architecture. By incorporating noise perturbation and auxiliary classification tasks, ChromNet improves the identification of topologically associating domains (TADs) and cell-type-specific chromatin structures, demonstrating superior generalization performance. Notably, ChromNet accurately predicts chromatin interactions in acute myeloid leukemia (AML) samples by …

A Hybrid Response Surface Methodology And Machine Learning Framework For Quantifying Effects Of Physicochemical Parameters On Pfas Distribution, Harsh V. Patel, Jazmin Green, Hyoshin Park, Stephanie Luster-Teasley Pass, Renzun Zhao

Engineering Management & Systems Engineering Faculty Publications

Predicting PFAS adsorption across diverse adsorbents and environmental matrices remains challenging because adsorbent physicochemical properties, PFAS molecular descriptors, and operational conditions simultaneously influence adsorption. This study develops and evaluates a unified hybrid modeling framework that integrates Response Surface Model (RSM) with machine-learning algorithms to quantify how six key variables, surface area, Log K_ow, pH_pzc, pK_a, log dose, and log-initial concentration, affect PFAS distribution coefficients (Log K_d). A data set of more than 1000 adsorption observations spanning 15 PFAS compounds, multiple adsorbent types, and a broad operational range was compiled and preprocessed using …

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.

Freeze-Dried, Not Frozen: Lyophilized Mesenchymal Stromal Cell-Derived Extracellular Vesicles And Therapeutic Function In Neuroinflammatory Models, Janet R Ashley, Aidan M Collier, Scott D Olson, Charles S Cox

Faculty, Staff and Student Publications

Background: Mesenchymal stromal cell (MSC)-derived extracellular vesicles (EVs) offer a promising acellular therapy for immune modulation, but clinical translation is hindered by variability and storage constraints. Lyophilization (freeze-drying) could enable shelf-stable EV therapeutics, although its effects on biological activity remain incompletely defined.

Study design: We compared the immunomodulatory effects of frozen and lyophilized EVs from bone marrow (BM), adipose tissue (AD), and umbilical cord (UC) MSCs using lipopolysaccharide-stimulated rodent splenocytes and microglial models and human peripheral blood mononuclear cells (PBMCs). Variables included batch scale (small vs large), cytokine priming, and MSC source. Tumor necrosis factor alpha (TNF-α) secretion was measured …

Micrornas Regulated By Pregnancy Target Antiviral And Cancer Immunity Overlapping With The Hiv Interactome, Paula F. T. Cezar-De-Mello, Jonathan M. Dreyfuss, Pai-Lien Chen, Hidemi Yamamoto, Xiaoming Gao, Hui Pan, Charles Morrison, Gustavo F. Doncel, Robert L. Barbieri, Raina N. Fichorova

CONRAD Publications

Innate immunity predictors of HIV-1 risk and pathogenesis vary with reproductive hormones, pregnancy, and lactation, yet the underlying mechanisms remain unclear. We hypothesized that pregnancy-associated physiological adaptations alter systemic microRNA (miRNA) expression, thereby regulating immunity, pathogenesis and susceptibility to infection. We analyzed 174 serum samples from 88 participants in a longitudinal cohort from Uganda and Zimbabwe across pre-pregnancy (PP), pregnancy (P), and postpartum breastfeeding (BF). Cell-free peripheral blood miRNAs (n = 2083) were profiled using HTG EdgeSeq. Pregnancy-specific miRNAs were identified by intersecting differentially expressed (DE) miRNAs from P vs. PP and P vs. BF comparisons. miRNA targets and pathways …

Pilot Study On The Use Of Multimorbidity Index In Patients Receiving Home Parenteral Nutrition, Michael M. Rothkopf, Mohan Pant, Zachary Rothkopf, Rebecca Brown Rdn, Jaime Haselhorst Rdn, Debbie L. Stevenson Rdn, Andrew Depalma Mba, Michael Saracco

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background

Home parenteral nutrition (HPN) patients often have multiple comorbidities. A validated multimorbidity index (MMI) could help determine resource needs and risks with HPN. We evaluated MMI scoring to determine if it predicted HPN resource use and outcomes.

Methods

We performed a secondary analysis of 60 HPN patients from a previous study based on Cumulative Illness Rating Scale (CIRS) scoring. We examined three variables: PN formula changes, hospitalizations, and hospital length of stay (LOS). Density plots were produced to select a CIRS score cutoff value. Spearman correlations among the three variables of interest were computed. The data were then subjected …

Vitamin D Status During Pregnancy Modulates The Effect Of Pre-Pregnancy Obesity On Gestational Diabetes Mellitus Risk: A Birth Cohort Study, Ali H. Ziyab, Abdullah Al-Taiar, Reem Al-Sabah, Majeda S. Hammoud, Saeed Akhtar

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Objective:

To determine whether gestational vitamin D status modulates the effect of pre-pregnancy obesity on gestational diabetes mellitus (GDM) risk while stratifying by maternal age.

Design:

Birth cohort.

Setting:

A major maternity hospital in Kuwait.

Participants:

Pregnant women in their second/third trimester of gestation were enrolled. Pre-pregnancy body mass index (BMI, kg/m²) was categorized as under/normal weight (< 25.0), overweight (25.0 to < 30.0), and obesity (≥30.0). Gestational 25-hydroxyvitamin D concentrations were categorized as deficiency (< 50 nmol/L) or insufficiency/sufficiency (≥50 nmol/L). GDM status was ascertained according to international guidelines. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated using logistic regression.

Results:

Data from 957 pregnant women were analyzed, with GDM affecting 166 (17.4%) pregnancies. Pre-pregnancy obesity and gestational vitamin D deficiency was ascertained in 275 (28.7%) and 533 (55.7%) pregnant women, respectively. The association between pre-pregnancy obesity and GDM risk differed according …

A Comprehensive Overview Of Neurophysiological Correlates Of Cognitive Impairment In Amyotrophic Lateral Sclerosis, Seyyed Bahram Borgheai, Brie E. Achorn, Alyssa H. Zisk, Sarah M. Hosni, Karl E. G. Richter, Frank S. Menniti, Yalda Shahriari

Computer Science Faculty Publications

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that leads to the gradual loss of motor control, typically resulting in paralysis and death within 3 to 5 years of diagnosis. ALS shares neuropathological and genetic associations with fronto-temporal dementia (FTD), a neurodegenerative condition primarily impacting cognitive functions. These two conditions are increasingly viewed as manifestations of a single molecular disease process that affects distinct brain systems, impacting motor neuronal pathways in ALS and fronto-cortical functions in FTD. However, this simple dichotomy belies the complexity of these conditions. In particular, patients with primary motor ALS can also experience significant cognitive …