Digital Commons Network^™

Expression And Purification Of Prohibitin Proteins And Investigation Of Their Interaction With Mycobacterium Tuberculosis’S Virulence Factors, Zeina Rhaim

Open Access Theses & Dissertations

Prohibitin (PHB) is a highly conserved mitochondrial protein involved in cell cycle regulation, apoptosis, mitochondrial integrity, macrophage activation, cytokine production and many other critical cell functions. The prohibitin complex, formed by Prohibitin-1 (PHB1) and Prohibitin-2 (PHB2), functions as a mitochondrial membrane-associated receptor. Cancer, neurodegenerative disorders, and renal conditions were found to be linked to an irregular PHB expression. Emerging evidence has also highlighted a significant role for PHB in tuberculosis (TB), particularly through its interactions with Mycobacterium tuberculosis (Mtb) virulence determinants. The molecular mechanisms by which PHB influences TB pathogenesis remain poorly understood. Our preliminary studies showed that PHB1 was …

The Unilateral Neuromuscular Effects Of Cross Education Eccentric-Focused Isokinetic Strength Training With Blood Flow Restriction In Sedentary And Recreationally Active Males, Bryan Mixumi

Theses and Dissertations

PURPOSE: The purpose of this study was to determine if BFR unilateral training protocols can elicit the same or greater cross-education effect as observed with HIGH protocols.

RESULTS: Significant time main effects and trained vs. untrained interactions revealed both training groups improved in isometric and isokinetic strength, work and power across limbs (P < 0.05). EMG analyses showed significant increases in vastus lateralis activation, with limb-specific neural adaptations but no group differences (P < 0.05) suggesting potential cross-education influence in the lower musculature.

CONCLUSION: With lower workloads, the BFR training protocols produced improvements in isometrics and isokinetic strength, work, power, and EMG that were comparable to those of the HIGH group across the trained and untrained limbs. The magnitude and limb-specific patterns varied across isometric, isokinetic, and EMG variables, but …

Evaluation Of Ramp Instead Of Forage During Grain Adaptation And Different Sorghum Varieties On Enteric Methane Production From Cattle, Jack T. Fort

Department of Animal Science: Dissertations, Theses, and Student Research

Two experiments were conducted to evaluate the use of RAMP (Cargill Corn Milling, Blair, Nebraska) compared with traditional forage-based adaptations on methane (CH₄) and carbon dioxide (CO₂) emissions, performance, and carcass characteristics. Experiment 1, 64 yearling British × Continental steers (initial BW = 423 ± 6 kg) were adapted using 100% RAMP (RAMP) or a traditional forage diet (CON; 43% forage) before transitioning 22 d to a common finishing diet containing 65.6% steam-flaked corn. Emissions were measured in paired replications using a two-chamber indirect calorimetry barn. During adaptation RAMP did not affect CH₄ production (g/d; …

Fungicidal Management Of Spring Dead Spot Using Improved Modeling And Application Strategies, Michael Vincent Battaglia

Graduate Theses and Dissertations

Spring dead spot (SDS) is a destructive disease of bermudagrass (Cynodon Rich. spp.) in parts of the world that experience winter dormancy. Fungicides are often necessary to properly manage SDS, and significant research has been conducted to improve fungicidal effectiveness. Several studies were conducted with the objectives of improving fungicide application timing, method of fungicide application, and long-term fungicidal efficiency. In the fungicide application study, a cooling degree-day (CDD) model based on soil temperatures was developed. The CDD model showed that isofetamid was highly effective against SDS during a wide application window in autumn, while tebuconazole was inconsistently effective and …

Drivers Of Faunal Communities In Isolated Wetlands: Local And Landscape Determinants Of Assemblages, Joshua Holbrook

All Dissertations

Ecological interactions such as predation are vital to shaping the distribution of organisms. For interactions to occur, organisms must undertake movement, such as dispersal, that places them in proximity to the organisms with which they may interact. Geographically isolated wetlands (GIW) are productive and biodiverse ecosystems, but little is known on broad geographic scales about the determinants of their fauna. Fishes have difficulty colonizing GIW, whereas amphibians and macroinvertebrates are adept overland dispersers – though they may be sensitive to top-down control by fishes. To better understand these phenomena, I sampled 10-20 wetlands each at nine regions in North and …

Spotted Seal Coastal Haul Out Behavior In Arctic Alaska, Maeghan Connor

Biological Sciences

Hauling out - the act of exiting the water to rest, molt, breed, and pup on solid surfaces - is a key behavior of pinnipeds worldwide. Unlike other ice seals (i.e., ice-associated phocid species), spotted seals (Phoca largha) in Alaska frequently use terrestrial substrates to haul out during the summer and fall open-water period in the Chukchi and Beaufort Seas. Despite being a core aspect of spotted seal ecology, their terrestrial haul out behavior remains understudied. To address this, we analyzed data collected from 2020 - 2022 near two known haul out sites in Dease Inlet, Alaska, including time-lapse camera …

Tracing The Journey Of Dissolved Organic Matter: From Leaf Litter Photodegradation To Microbial Processing In Tropical Streams, Samantha Nicole Sullivan

Chemistry & Biochemistry Theses & Dissertations

Dissolved organic matter (DOM) is a major reservoir of organic carbon in aquatic ecosystems and plays a central role in global carbon cycling through its transformation and remineralization to carbon dioxide (CO₂). As DOM moves from terrestrial environments into streams and rivers, its chemical composition is altered by a combination of microbial and photochemical oxidation processes that regulate both its reactivity and its persistence during transport. However, the molecular mechanisms governing these oxidative transitions, particularly in tropical ecosystems characterized by strong hydrologic seasonality and substantial inputs of plant-derived material, remain insufficiently resolved. This dissertation integrates ultrahigh-resolution mass spectrometry, optical characterization, …

Neural Rrp6 Depletion Drives Circrna Accumulation And Motor Impairment In Drosophila Melanogaster Neurons, Joseph Serio

Honors Theses

Circular RNAs (circRNAs) are a class of ubiquitous eukaryotic RNAs created by back splicing. These noncoding RNAs can modulate gene expression and are implicated in aging and neurodegenerative diseases. To limit the contribution of circRNAs to aging and pathobiology, it is essential to understand how turnover of these molecules is regulated, as it is not clear which enzymes are chiefly responsible for degrading circRNAs in neurons. This study evaluates the roles of ribonucleases potentially involved in neural circRNA turnover using the model fly Drosophila melanogaster. A mifepristone-activated GAL4/UAS GeneSwitch expressed RNAi transgenes and inactivated the ribonucleases. Flies were evaluated on …

Normalization Of Temperature Effects For Quality Assurance Of Quantitative Prostate Apparent Diffusion Coefficient Imaging Across Multiple Sites, Ken-Pin Hwang, Joshua Yung, R Jason Stafford, Caroline Chung, Aradhana M Venkatesan

Faculty, Staff and Student Publications

Background: Apparent Diffusion Coefficient (ADC) as measured by diffusion weighted imaging is known to negatively correlate with prostate tumor aggressiveness. Heterogeneity in system and protocol performance causes potential variability in ADC acquired across a large scanner network, prompting a need to evaluate quantitative ADC from a prostate-specific MR diffusion protocol as part of quality assurance (QA). Due to the temperature dependence of ADC, repeatability and reproducibility assessments typically require phantoms to maintain a temperature of 0°C, imposing a considerable burden when assessing large numbers of scanners.

Purpose: To develop a QA procedure at room temperature for assessing the reproducibility of …

Molecular And Immunological Features Associated With Long-Term Benefits In Metastatic Nsclc Patients Undergoing Immune Checkpoint Blockade, Pedro Rocha, Rafael Bach, Laura Masfarré, Sharia Hernandez, Nil Navarro-Gorro, Adrià Rossell, Xavier Villanueva, Mario Giner, Ignacio Sanchéz, Miguel Galindo, Raúl Del Rey-Vergara, Albert Iñañez, Beatriz Sanchéz-Espiridion, Wei Lu, Ariadna Acedo-Terrades, Pau Berenguer-Molins, Albert Sánchez-Font, Roberto Chalela, Victor Curull, Álvaro Taus, Max Hardy-Werbin, Mark Sausen, Andrew Georgiadis, James White, Jennifer B Jackson, Laura Moliner, Sergi Clavé, Beatriz Bellosillo, Ana Rovira, Ignacio Wistuba, Luisa M Solis Soto, Júlia Perera-Bel, Edurne Arriola

Faculty, Staff and Student Publications

Introduction: Immunotherapy is firmly established as a treatment regimen in various solid tumors, driven by its exceptional benefits in a selected group of patients. Despite widespread adoption of immune checkpoint blockade (ICB) across diverse solid tumors, the quest for a clinically informative biomarker for long-term benefit remains unmet.

Methods: A total of 49 patients with metastatic NSCLC treated with ICB were included. Long-term (LTR) and short-term responders (STR) were defined as those with a response to ICB lasting more than 24 months or less than 6 months, respectively. Longitudinal blood specimens were collected before ICB treatment initiation and early-on treatment. …

Smags-Lasso: A Novel Feature Selection Method For Sensitivity Maximization In Early Cancer Detection, Hamid Khoshfekr Rudsari, Sara Khorami-Sarvestani, Johannes F Fahrmann, James P Long, Samir Hanash, Kim-Anh Do, Ehsan Irajizad

Faculty, Staff and Student Publications

Background: Sensitivity and specificity are foundational metrics for cancer detection tools. However, most machine learning algorithms prioritize overall accuracy during optimization, which fails to align with clinical priorities of early detection. We aim to develop a feature selection machine learning algorithm while maximizing sensitivity at a given specificity.

Methods: We developed SMAGS-LASSO, a machine learning algorithm that combines our developed Sensitivity Maximization at a Given Specificity (SMAGS) framework with L1 regularization for feature selection. This approach simultaneously optimizes sensitivity at user-defined specificity thresholds while performing feature selection. SMAGS-LASSO utilizes a custom loss function with L1 regularization and multiple parallel optimization …

Author Correction: Evidence For Improved Dna Repair In The Long-Lived Bowhead Whale, Denis Firsanov, Max Zacher, Xiao Tian, Todd L Sformo, Yang Zhao, Gregory Tombline, J Yuyang Lu, Zhizhong Zheng, Luigi Perelli, Enrico Gurreri, Li Zhang, Jing Guo, Anatoly Korotkov, Valentin Volobaev, Seyed Ali Biashad, Zhihui Zhang, Johanna Heid, Alexander Y Maslov, Shixiang Sun, Zhuoer Wu, Jonathan Gigas, Eric C Hillpot, John C Martinez, Minseon Lee, Alyssa Williams, Abbey Gilman, Nicholas Hamilton, Ekaterina Strelkova, Ena Haseljic, Avnee Patel, Maggie E Straight, Nalani Miller, Julia Ablaeva, Lok Ming Tam, Chloé Couderc, Michael R Hoopmann, Robert L Moritz, Shingo Fujii, Amandine Pelletier, Dan J Hayman, Hongrui Liu, Yuxuan Cai, Anthony K L Leung, Zhengdong Zhang, C Bradley Nelson, Lisa M Abegglen, Joshua D Schiffman, Vadim N Gladyshev, Carlo C Maley, Mauro Modesti, Giannicola Genovese, Mirre J P Simons, Jan Vijg, Andrei Seluanov, Vera Gorbunova

Faculty, Staff and Student Publications

No abstract provided.

Evidence For Improved Dna Repair In The Long-Lived Bowhead Whale, Denis Firsanov, Max Zacher, Xiao Tian, Todd L Sformo, Yang Zhao, Gregory Tombline, J Yuyang Lu, Zhizhong Zheng, Luigi Perelli, Enrico Gurreri, Li Zhang, Jing Guo, Anatoly Korotkov, Valentin Volobaev, Seyed Ali Biashad, Zhihui Zhang, Johanna Heid, Alexander Y Maslov, Shixiang Sun, Zhuoer Wu, Jonathan Gigas, Eric C Hillpot, John C Martinez, Minseon Lee, Alyssa Williams, Abbey Gilman, Nicholas Hamilton, Ekaterina Strelkova, Ena Haseljic, Avnee Patel, Maggie E Straight, Nalani Miller, Julia Ablaeva, Lok Ming Tam, Chloé Couderc, Michael R Hoopmann, Robert L Moritz, Shingo Fujii, Amandine Pelletier, Dan J Hayman, Hongrui Liu, Yuxuan Cai, Anthony K L Leung, Zhengdong Zhang, C Bradley Nelson, Lisa M Abegglen, Joshua D Schiffman, Vadim N Gladyshev, Carlo C Maley, Mauro Modesti, Giannicola Genovese, Mirre J P Simons, Jan Vijg, Andrei Seluanov, Vera Gorbunova

Faculty, Staff and Student Publications

At more than 200 years, the maximum lifespan of the bowhead whale exceeds that of all other mammals. The bowhead is also the second-largest animal on Earth1, reaching over 80,000 kg. Despite its very large number of cells and long lifespan, the bowhead is not highly cancer-prone, an incongruity termed Peto’s paradox2. Here, to understand the mechanisms that underlie the cancer resistance of the bowhead whale, we examined the number of oncogenic hits required for malignant transformation of whale primary fibroblasts. Unexpectedly, bowhead whale fibroblasts required fewer oncogenic hits to undergo malignant transformation than human fibroblasts. …

Experimental Design And Control Methods For Dose Rate Optimization In A Synchrotron-Based Proton Therapy Beamline, Jason Tang, Daniel Liu, Jacob Mathew, Sabrina Campelo, Lawrence Bronk, Paige Taylor, Yuting Li, Fada Guan

Faculty, Staff and Student Publications

Background: Ultra-high dose rate radiotherapy (typically defined >40 Gy/s) has shown promise for enhanced normal tissue sparing while maintaining tumor control, termed the FLASH effect when this biological response is observed. However, precise dose rate control remains a technical challenge in proton therapy systems, particularly for research applications investigating dose rate effects.

Purpose: To develop and validate a passive beam modulation technique using tungsten scatterers for controllable dose rate adjustment in a synchrotron-based proton therapy beamline without modifying accelerator parameters.

Methods: We investigated dose rate modulation using tungsten foils of varying thicknesses (0.1-3.5 mm) positioned upstream in an 87.2 MeV …

Activity-Dependent Transit Dose Assessment In 192ir High-Dose-Rate Brachytherapy Surface Applicator Using Gafchromictm Ebt4 Film, Daniel Liu, Emily Draeger, Christopher J Tien, Fada Guan

Faculty, Staff and Student Publications

Purpose: To characterize the newly released GafChromicTM EBT4 film for transit dose measurement in high-dose rate brachytherapy (HDR-BT) surface applicators and to systematically investigate the relationship between transit dose and 192Ir source activity.

Methods: EBT4 film was used to measure dose at 3 mm depth from a horizontally oriented Leipzig-style surface applicator connected to a 192Ir HDR-BT remote afterloading unit. Transit dose was systematically characterized across eight different source activities ranging from 3.372 to 9.716 Ci (13,724 U to 39,544 U) using measurements with seven nominal dwell times (5-100 seconds, scaled to 10 Ci (40,700 U)). Transit dose was derived …

Tubulin Regulates Stability And Localization Of Stmn2 By Binding Preferentially To Its Soluble Form, Xiang Deng, Gary A Bradshaw, Marian Kalocsay, Timothy Mitchison

Faculty, Staff and Student Publications

The small, tubulin-binding protein STMN2 is highly expressed in neurons and is implicated in amyotrophic lateral sclerosis. STMN2 degrades rapidly and accumulates at axotomy sites, suggesting fast turnover is crucial for its neuroprotective function. We show that STMN2 was primarily degraded by the ubiquitin-proteasome system. Its membrane-targeting N-terminal domain promoted fast turnover, whereas its tubulin-binding domain promoted stabilization. Proximity labeling and imaging showed that tubulin binding reduced STMN2 targeting to trans-Golgi network membranes. Pull-down assays showed that tubulin binds preferentially to soluble over membrane-bound STMN2. Our observations suggest that STMN2 interconverts between a soluble, tubulin-bound form and a membrane-bound, tubulin-free …

Standardized Research Electronic Cigarette Acceptability Among Adult Men And Women Who Smoke Combustible Cigarettes, Jason D Robinson, Yong Cui, Maher Karam-Hage, Janice A Blalock, Sanjay Shete, George Kypriotakis, Peiying Yang, Paul M Cinciripini

Faculty, Staff and Student Publications

Objective: The U.S. electronic cigarette marketplace is diverse and has evolved rapidly. To provide a standardized research model, the U.S. National Institute on Drug Abuse developed the Standard Research E-Cigarette (SREC). This study characterized potential gender differences in product use, acceptability, reinforcement, and nicotine dependence symptoms when switching from combustible cigarettes (CCs) to nicotine and placebo SRECs.

Method: In total, 169 adults (82 women) who smoke were enrolled in this all-remote randomized double-blind crossover trial. During Weeks 1-2, participants used their usual brand cigarettes (UBCs). During Weeks 3-4 and 5-6, they were instructed to use the tobacco-flavored SREC (either nicotine …

Forecasting Chemoradiation Response Midtreatment For High-Grade Gliomas Through Patient-Specific Biology-Based Modeling, David A Hormuth, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D Shanker, Wasif Talpur, Sara Thrower, Jodi Goldman, Sophia Ty, Calliope Custer, Jeanne Kowalski, Thomas E Yankeelov, Caroline Chung

Faculty, Staff and Student Publications

Purpose: The entire course of radiation therapy (RT) for high-grade glioma (HGG) is currently derived from pre-RT magnetic resonance imaging (MRI). Although it is possible to adapt RT during the course of treatment, it is often guided only by anatomical changes to the tumor. This study seeks to determine if a biology-based mathematical model, parameterized by patient-specific, multiparametric MRI (mpMRI) data, can accurately forecast HGG response during RT.

Methods and materials: Twenty one patients with HGG planned for 6 weeks of concurrent RT and chemotherapy were imaged weekly with mpMRI during RT and at 1, 2, and 3 months post-RT. …

Personalized Risk Prediction For Cancer Survivors: A Generalized Bayesian Semi-Parametric Model Of Recurrent Events With Competing Outcomes, Nam Hoai Nguyen, Seung Jun Shin, Elissa Dodd-Eaton, Jing Ning, Wenyi Wang

Faculty, Staff and Student Publications

Multiple primary cancers are increasingly more frequent due to improved survival of cancer patients. Characteristics of the first primary cancer largely impact the risk of developing subsequent primary cancers. Hence, model-based risk characterization of cancer survivors that captures patient-specific variables is needed for healthcare policy making. We propose a Bayesian semi-parametric framework, where the occurrence processes of the competing cancer types follow independent non-homogeneous Poisson processes and adjust for covariates including the type and age at diagnosis of the first primary. Applying this framework to a historically collected cohort with families presenting a highly enriched history of multiple primary tumors …

Evaluation Of Renal Masses With Cest Mri: Protocol Optimization And Preliminary Results, Xiaojing Wang, Jochen Keupp, Ivan E Dimitrov, Ananth Madhuranthakam, Durga Udayakumar, Mahsa Taherzadeh, Emin Albayrak, Orson W Moe, Payal Kapur, Robert E Lenkinski, Ivan Pedrosa, Elena Vinogradov

Faculty, Staff and Student Publications

Purpose: This study investigates the application of CEST MRI in human kidneys, with the overarching goal of developing CEST MRI for renal mass characterization. Here, the focus is on the development of a protocol and the proof-of-principle evaluation of CEST for the characterization of clear cell renal cell carcinoma (ccRCC).

Methods: Ten healthy volunteers and five patients diagnosed with ccRCC underwent CEST MRI scans at 3 T. The sequence performance was characterized in healthy volunteers and tested using three saturation power levels, B1rms = 0.7, 1.2, and 1.6 μT. We compared the magnetization transfer ratio asymmetry (MTRasym) values at 1.0, …

Representation Of Neuro-Oncology In American Neurology Departments: An Analysis Of Grand Rounds And Perspectives From Faculty And Residents, Elizabeth C Neil, Aubree Bruhnding, Zubair A Ahmed, Priya U Kumthekar, Nicholas A Blondin, Christian Grommes, Chirag B Patel, Sigmund Hsu, Feng Wang, Hongyu Miao, Noah L Rosen, Rashmi B Halker Singh, Mark J Burish, Zachary A Corbin

Faculty, Staff and Student Publications

Background: Neuro-oncology education in American neurology departments is highly variable, with no clear guidelines on appropriate practices. To better understand its current state, we focus on the perspective of departmental Grand Rounds (GR), views of adult neurology residency program directors (ANRPD), neuro-oncologists, and residents.

Methods: First, we obtained GR series from academic years 2017-2018 and 2018-2019 via an online search and direct emails to neurology residency programs. Second, two online surveys were dispensed to ANRPD and neuro-oncologists. Third, a cohort of neurology residents completed surveys with pre/post-didactic tests.

Results: Neuro-oncology consisted of 7% (28/ 411) GR in 2017-2018 and 6% …

Utility Of Serum Matrix Metalloproteinase-7 As A Biomarker In Cholestatic Infants With Congenital Heart Disease, Sindhu Pandurangi, Michael E Kim, Nicolas Noriega, Bradley Conant, Jangdong Seo, Reena Mourya, Pranavkumar Shivakumar, Anna L Peters, Andrew Misfeldt, Meghan Chlebowski

Faculty, Staff and Student Publications

Background: Matrix metalloproteinase 7 (MMP-7) is a novel biomarker for diagnosis of biliary atresia (BA), the most common cholestatic liver disease in infancy. There is a pressing need to determine the utility of MMP-7 levels in infants with congenital heart disease (CHD) to avoid unnecessary invasive diagnostic procedures in this high-risk population. We investigated the utility of MMP-7 in discriminating BA from non-BA cholestasis in infants with CHD and whether MMP-7 elevation was present in infants requiring treatment for clinically significant PH.

Methods: This is a single-center cross-sectional study including infants < 180 days of age with cholestasis and serum MMP-7 levels collected from 2019 to 2023. Demographic data and descriptive statistics were summarized with medians with interquartile ranges and frequencies with percentages. Median MMP-7 levels were assessed via Wilcoxon rank-sum test.

Results: A total of 149 patients were included. Patients …

Pancreatic Cancer-Related Diabetes And Type 2 Diabetes Differ In Multiple Aspects Of Glucose Homeostasis, Frederico G S Toledo, Yisheng Li, Fuchenchu Wang, Melena D Bellin, Randall Brand, Kenneth Cusi, William Fisher, Yogish C Kudva, Walter G Park, Zeb I Saeed, Dhiraj Yadav, Robert V Considine, Sarah C Graham, Dana K Andersen, Jose Serrano, Mark O Goodarzi, Phil A Hart

Faculty, Staff and Student Publications

Aims/hypothesis: Pancreatic ductal adenocarcinoma-related diabetes mellitus (PDAC-DM) is a paraneoplastic syndrome with a poorly understood pathophysiology. PDAC-DM is often clinically confused with type 2 diabetes, resulting in delayed cancer detection and poorly individualised hyperglycaemia treatment. We investigated whether these forms of diabetes can be distinguished at the metabolic level.

Methods: Adults with either cancer treatment-naive PDAC-DM (n=28) or type 2 diabetes (n=97), and with diabetes onset within 3 years, underwent mixed-meal tolerance tests to investigate glucose metabolism. Outcomes included insulin sensitivity (Matsuda index), insulin secretion (insulinogenic index), beta cell function (oral disposition index), insulin clearance, and postprandial glucagon, glucagon-like peptide-1 …

Bayesian Integrated Learning Of Longitudinal Dose-Response Relationships Via Decentralized Clinical Trials, Jingyi Zhang, Tuo Wang, Yongming Qu, Fangrong Yan, Suyu Liu, Ruitao Lin

Faculty, Staff and Student Publications

Decentralized clinical trials (DCTs) extend trial activities beyond traditional sites, enhancing access, convenience, efficiency, and result generalizability. They are particularly promising for chronic conditions like diabetes and obesity, which require longer study durations to evaluate drug effects. However, decentralized data collection raises concerns about increased variability and potential biases. This paper presents a novel Bayesian integrated learning procedure to analyze dose-response relationships using longitudinal data from a phase II DCT that combines centralized and decentralized data collection. We generalize a parametric exponential decay model to handle mixed data sources and apply Bayesian spike-and-slab priors to address biases and uncertainties from …

Benzodioxane-Benzamides Targeting Bacterial Cell Division Protein Ftsz Potentially Disrupt Slma-Mediated Nucleoid Occlusion And Reversible Biomolecular Condensation, Marta Sobrinos-Sanguino, Inés Barros-Medina, Lorenzo Suigo, Alessia Lanzini, Ermanno Valoti, William Margolin, Valentina Straniero, Begoña Monterroso, Silvia Zorrilla

Faculty, Staff and Student Publications

New strategies are urgently needed against antimicrobial resistance, a major health threat, and the different mechanisms regulating the bacterial cell division machinery offer multiple opportunities for developing novel therapeutics. FtsZ, an essential protein of this process, is targeted by multiple small molecules, and benzodioxane-benzamides (BDOBs) are among the most potent inhibitors in several bacterial species. BDOBs mechanisms are however poorly understood, particularly their impact on FtsZ's interplay with partners and ability to assemble phase-separated biomolecular condensates potentially involved in stress sensing. We show that certain BDOBs shielded FtsZ against depolymerization induced by the nucleoprotein complexes of SlmA, which inhibit Z-ring …

Individualizing Nsaid Therapy In Axial Spondyloarthritis: N-Of-1 Trials With Bayesian Analysis, Mark C Hwang, Seokhun Kim, Shervin Assassi, Reyna Chavez, Joyce Samuel, Charles Green, Jon Tyson, John Reveille

Faculty, Staff and Student Publications

Objective: Axial spondyloarthritis (axSpA) is a chronic inflammatory disease predominantly affecting the spine and sacroiliac joints. NSAIDs are first-line therapy, but individual responses vary widely. We evaluated the efficacy and patient preference of three NSAIDs (celecoxib, meloxicam and naproxen) through Bayesian N-of-1 clinical trials to optimize axSpA management.

Methods: We conducted N-of-1 trials with 42 patients meeting ASAS criteria for axSpA. Each patient was asked to complete two cycles of randomized double-blind crossover comparisons of the three NSAIDs, each for 4 weeks. The primary end point was the change in the Ankylosing Spondylitis Disease Activity Score (ASDAS). Bayesian analysis assessed …

Sars-Cov-2 Rna-Binding Protein Suppresses Extracellular Mirna Release, Hyejin Mun, Chang Hoon Shin, Qingxuan Fei, Andrea Estefania Lopez Giraldo, Kyoung-Min Choi, Ji Won Lee, Kyungmin Kim, Kyung-Won Min, Leilei Shi, Mark T Bedford, Dong-Chan Kim, Yoo Lim Chun, Seonghyun Ryu, Dongin Kim, Jeong Ho Chang, Ryan T Westrope, Michelle Shay, Edward Nguyen, Junho K Hur, Abigail Agyenda, Nam Chul Kim, Sung-Ung Kang, Woonghee Lee, Je-Hyun Yoon

Faculty, Staff and Student Publications

SARS-CoV-2 is the betacoronavirus causing the COVID-19 pandemic. Although the SARS-CoV-2 genome and transcriptome were reported previously, the function of individual viral proteins is largely unknown. Utilizing biochemical and molecular biology methods, we identified that four SARS-CoV-2 RNA-binding proteins (RBPs) regulate the host RNA metabolism by direct interaction with mature miRNA let-7b revealed by Nuclear Magnetic Resonance spectroscopy (NMR). SARS-CoV-2 RBP Nsp9 primarily binds mature miRNA let-7b, a direct ligand of the Toll-like Receptor 7 (TLR7), one of the potential SARS-CoV-2 therapeutics. Nsp9 suppresses host gene expression possibly by promoting let-7b-mediated silencing of a cellular RNA polymerase, POLR2D. In addition, …

Impact Of Peripheral Circadian Misalignment And Alcohol On The Resiliency Of Intestinal Barrier And Microbiota, Laura Tran, Maliha Shaikh, Phillip A Engen, Ankur Naqib, Dulce M Frausto, Vivian Ramirez, Malia Gasteier, Zlata Bogin, Kristi Lawrence, Lijuan Zhang, Shiwen Song, Stefan J Green, Faraz Bishehsari, Christopher B Forsyth, Ali Keshavarzian, Garth R Swanson

Faculty, Staff and Student Publications

Circadian organization is involved in many gastrointestinal tract (GIT) functions such as the maintenance of intestinal barrier integrity. There is compelling evidence that perturbation of the circadian clock decreases intestinal epithelial cells' resiliency to alcohol-induced injury. One of the most common causes of circadian misalignment is wrong-time eating (largest meal at dinner) in modern societies. Yet, few studies have examined the importance of peripheral circadian rhythms of the GIT to alcohol consumption. Eating patterns during physiologic rest time, defined as wrong-time eating (WTE), misalign the peripheral circadian clock of the GIT and the body's central clock. This study aims to …

Secretory Iga Dysfunction Underlies Poor Prognosis In Fusobacterium-Infected Colorectal Cancer, Ilseok Choi, Kyung-A Kim, Sang Cheol Kim, Donghwan Park, Ki Taek Nam, Jun Hyung Cha, Seungbyn Baek, Junha Cha, Hye-Yeong Jo, Minsun Jung, Melody Y Zeng, Irina Matei, Susan Bullman, Joong Bae Ahn, Yoon Dae Han, Han Sang Kim, Insuk Lee

Faculty, Staff and Student Publications

Fusobacterium nucleatum (Fn) is commonly enriched in colorectal cancer (CRC) and associated with poor outcomes, though its mechanisms remain unclear. Our study investigated how Fn affects the tumor microenvironment through single-cell transcriptomic analyses of 42 CRC patient tissues, comparing Fn-positive and Fn-negative tumors. We discovered that Fn impairs IgA plasma cell development and secretory IgA (sIgA) production by disrupting communication with tumor-associated macrophages. Additional experiments in germ-free mice, together with our re-analysis of a publicly available single-cell RNA-seq data set from a CRC mouse model with an intact gut microbiome–both models having been orally gavaged with Fn–jointly validated the causal …

Perceived Utility Of Genetic Carrier Screening In A Diverse Patient Population, Jack A Colleran, Meagan Choates, Syed Hashmi, Brittanie Shelton, Aranza Gonzalez Cendejas, Angela Haynes Burgess, Blair K Stevens

Faculty, Staff and Student Publications

Current reproductive guidelines call for offering expanded carrier screening (ECS) for genetic conditions. Currently available panels can include screening for carrier status of tens to hundreds of autosomal recessive and/or X-linked conditions. Clinical utility is based on alterations to reproductive decision-making, but study cohorts supporting the utility of ECS largely consist of individuals of European ancestry who are highly educated, of high income, and who often receive preconception counseling. There is a lack of research on the views of patients from diverse backgrounds. Therefore, we aimed to assess and compare perceptions of the utility of ECS and targeted carrier screening …