Digital Commons Network^™

Cerebrotendinous Xanthomatosis Occurs At High Frequency In Ashkenazi Jews, Jennifer Hanson, Penelope E Bonnen

Faculty, Staff and Students Publications

Cerebrotendinous Xanthomatosis (CTX) is a treatable, inborn error of bile acids metabolism caused by pathogenic variants in CYP27A1. CTX is a multi-organ system disorder that progresses over decades. Clinical features include cerebellar dysfunction, pyramidal tract dysfunction, cognitive deficits and decline, peripheral neuropathy, chronic diarrhea, bilateral cataracts, and tendon xanthomas. Treatment is effective when started early, but diagnostic delays often result in individuals not being diagnosed until after the window of highest treatment efficacy. CTX is documented to occur in most global populations, however, no CTX-causing genetic variants have been reported in Ashkenazi Jews. We conducted a systematic review of every …

Causes Of Mortality In The Congenital Disorders Of Glycosylation, Hana Alharbi, Seishu Horikoshi, Sabrina Malone Jenkins, Fernando Scaglia, Christina Lam, Eva Morava, Austin Larson, Andrew C Edmondson

Faculty, Staff and Students Publications

Congenital Disorders of Glycosylation (CDG) are a group of some 200 genetic disorders with PMM2-CDG being the most common disease. These disorders individually remain rare with poorly understood natural history (NH) and causes of mortality. We established a NH study for CDG and collected both prospective and retrospective data on CDG outcomes. In the current data set analysis on deceased patients, we describe the clinical phenotype and causes of death for thirty-seven individuals with various genetic causes of CDG. About a third of this cohort were affected with PMM2-CDG. All of the patients presented with multisystem features with involvement of …

The Glu86 Residue In Tbx4 Proves Critical For Human Lung Development, Przemyslaw Szafranski, Tomasz Gambin, Gail Deutsch, Salma A Nassef, Mary Clay Bailey, Debra L Kearney, Paweł Stankiewicz

Faculty, Staff and Students Publications

T-box transcription factors are a group of evolutionarily conserved T-box-containing regulators of mesoderm specification and development. Heterozygous single nucleotide variants (SNVs) or copy-number variant (CNV) deletions involving dosage-sensitive TBX4 have been associated with pulmonary arterial hypertension (PAH), ischiocoxopodopatellar syndrome with or without PAH, and lethal lung developmental disorders (LLDDs), including acinar dysplasia (AcDys), congenital alveolar dysplasia (CAD), and other unspecified primary pulmonary hypoplasias. Loss- and gain-of-function variants have been proposed to cause pediatric PAH and LLDDs, and adult forms of PAH, respectively. Of more than 50 missense SNVs scattered across the entire TBX4, only three have been reported in patients …

Early Life Epigenetics And Childhood Outcomes: A Scoping Review, Srirupa Hari Gopal, Theresa Alenghat, Mohan Pammi

Faculty, Staff and Students Publications

Epigenetics is the study of changes in gene expression, without a change in the DNA sequence that are potentially heritable. Epigenetic mechanisms such as DNA methylation, histone modifications, and small non-coding RNA (sncRNA) changes have been studied in various childhood disorders. Causal links to maternal health and toxin exposures can introduce epigenetic modifications to the fetal DNA, which can be detected in the cord blood. Cord blood epigenetic modifications provide evidence of in-utero stressors and immediate postnatal changes, which can impact both short and long-term outcomes in children. The mechanisms of these epigenetic changes can be leveraged for prevention, early …

Visible Light Polarization-Sensitive Optical Coherence Tomography With Balanced Detection, Bahar Baradaran, Adam J Black, Sarah R Heilbronner, Taner Akkin

Faculty, Staff and Students Publications

Significance: We introduce a visible-light polarization-sensitive optical coherence tomography (PS-OCT) system that operates in the spectral domain with balanced detection (BD) capability. While the BD improves the signal-to-noise ratio (SNR), the use of shorter wavelengths improves spatial resolution and birefringence sensitivity.

Aim: We aim to implement a new optical design, characterize its performance, and investigate the imaging potential for biological tissues.

Approach: The design utilizes a unique interferometer and a custom spectrometer that captures four highly aligned spectra with a single area/multi-line camera. Each pair of spectral lines is highly aligned, and their subtraction yields balanced detected spectra of the …

Predicting Chemotherapy Responsiveness In Gastric Cancer Through Machine Learning Analysis Of Genome, Immune, And Neutrophil Signatures, Shota Sasagawa, Yoshitaka Honma, Xinxin Peng, Kazuhiro Maejima, Koji Nagaoka, Yukari Kobayashi, Ayako Oosawa, Todd A Johnson, Yuki Okawa, Han Liang, Kazuhiro Kakimi, Yasuhide Yamada, Hidewaki Nakagawa

Faculty, Staff and Student Publications

Background: Gastric cancer is a major oncological challenge, ranking highly among causes of cancer-related mortality worldwide. This study was initiated to address the variability in patient responses to combination chemotherapy, highlighting the need for personalized treatment strategies based on genomic data.

Methods: We analyzed whole-genome and RNA sequences from biopsy specimens of 65 advanced gastric cancer patients before their chemotherapy treatment. Using machine learning techniques, we developed a model with 123 omics features, such as immune signatures and copy number variations, to predict their chemotherapy outcomes.

Results: The model demonstrated a prediction accuracy of 70-80% in forecasting chemotherapy responses in …

Guidelines For Minimal Reporting Requirements, Design And Interpretation Of Experiments Involving The Use Of Eukaryotic Dual Gene Expression Reporters (Mindr), Gary Loughran, Dmitry E Andreev, Ilya M Terenin, Olivier Namy, Martin Mikl, Martina M Yordanova, C Joel Mcmanus, Andrew E Firth, John F Atkins, Christopher S Fraser, Zoya Ignatova, Shintaro Iwasaki, Joanna Kufel, Ola Larsson, Sebastian A Leidel, Alexander S Mankin, Marco Mariotti, Marvin E Tanenbaum, Ivan Topisirovic, Nora Vázquez-Laslop, Gabriela Viero, Neva Caliskan, Yiwen Chen, Patricia L Clark, Jonathan D Dinman, Philip J Farabaugh, Wendy V Gilbert, Pavel Ivanov, Jeffrey S Kieft, Oliver Mühlemann, Matthew S Sachs, Ivan N Shatsky, Nahum Sonenberg, Anna-Lena Steckelberg, Anne E Willis, Michael T Woodside, Leos Shivaya Valasek, Sergey E Dmitriev, Pavel V Baranov

Faculty, Staff and Student Publications

Dual reporters encoding two distinct proteins within the same mRNA have had a crucial role in identifying and characterizing unconventional mechanisms of eukaryotic translation. These mechanisms include initiation via internal ribosomal entry sites (IRESs), ribosomal frameshifting, stop codon readthrough and reinitiation. This design enables the expression of one reporter to be influenced by the specific mechanism under investigation, while the other reporter serves as an internal control. However, challenges arise when intervening test sequences are placed between these two reporters. Such sequences can inadvertently impact the expression or function of either reporter, independent of translation-related changes, potentially biasing the results. …

Monte Carlo Modeling Of An Experimental Benchtop L-Shell X-Ray Fluorescence Imaging/Ct System Adopting Two Silicone Drift Detectors, Neerajan Nepal, Amrit Kaphle, Sandun Jayarathna, Sang Hyun Cho

Faculty, Staff and Student Publications

L-shell x-ray fluorescence (XRF) photons induced from gold nanoparticles (GNPs) after being irradiated by an x-ray beam allow for highly sensitive XRF imaging/computed tomography (XFCT) of biological samples containing GNPs at low concentrations on the order of parts-per-million (ppm). The primary goal of this Monte Carlo (MC) study was to investigate the feasibility of upgrading an existing experimental benchtop XRF/XFCT imaging setup adopting a single silicon drift detector (SDD), developed based on the aforementioned concept (often known as L-shell XFCT), by deploying another SDD within the same setup. Specifically, an MC model of the original single SDD L-shell XFCT setup, …

Proceedings Of The National Cancer Institute Workshop On Combining Immunotherapy With Radiotherapy: Challenges And Opportunities For Clinical Translation, Zachary S Morris, Sandra Demaria, Arta M Monjazeb, Silvia C Formenti, Ralph R Weichselbaum, James Welsh, Heiko Enderling, Jonathan D Schoenfeld, Joshua D Brody, Heather M Mcgee, Michele Mondini, Michael S Kent, Kristina H Young, Lorenzo Galluzzi, Sana D Karam, Willemijn S M E Theelen, Joe Y Chang, Mai Anh Huynh, Adi Daib, Sean Pitroda, Caroline Chung, Raphael Serre, Clemens Grassberger, Jie Deng, Quaovi H Sodji, Anthony T Nguyen, Ravi B Patel, Simone Krebs, Anusha Kalbasi, Caroline Kerr, Claire Vanpouille-Box, Logan Vick, Todd A Aguilera, Irene M Ong, Fernanda Herrera, Hari Menon, Deedee Smart, Jalal Ahmed, Robyn D Gartrell, Christina L Roland, Fatemeh Fekrmandi, Binita Chakraborty, Eric H Bent, Tracy J Berg, Alan Hutson, Samir Khleif, Andrew G Sikora, Lawrence Fong

Faculty, Staff and Student Publications

Radiotherapy both promotes and antagonises tumour immune recognition. Some clinical studies show improved patient outcomes when immunotherapies are integrated with radiotherapy. Safe, greater than additive, clinical response to the combination is limited to a subset of patients, however, and how radiotherapy can best be combined with immunotherapies remains unclear. The National Cancer Institute-Immuno-Oncology Translational Network-Society for Immunotherapy of Cancer-American Association of Immunology Workshop on Combining Immunotherapy with Radiotherapy was convened to identify and prioritise opportunities and challenges for radiotherapy and immunotherapy combinations. Sessions examined the immune effects of radiation, barriers to anti-tumour immune response, previous clinical trial data, immunological and …

Multiethnic Growth Standards For Fetal Body Composition And Organ Volumes Derived From 3d Ultrasonography, Katherine L Grantz, Wesley Lee, Lauren M Mack, Magdalena Sanz Cortes, Luis F Goncalves, Jimmy Espinoza, Roger B Newman, William A Grobman, Ronald J Wapner, Karin Fuchs, Mary E D'Alton, Daniel W Skupski, John Owen, Anthony Sciscione, Deborah A Wing, Michael P Nageotte, Angela C Ranzini, Edward K Chien, Sabrina Craigo, Seth Sherman, Robert E Gore-Langton, Dian He, Fasil Tekola-Ayele, Cuilin Zhang, Jagteshwar Grewal, Zhen Chen

Faculty, Staff and Student Publications

Background: A major goal of contemporary obstetrical practice is to optimize fetal growth and development throughout pregnancy. To date, fetal growth during prenatal care is assessed by performing ultrasonographic measurement of 2-dimensional fetal biometry to calculate an estimated fetal weight. Our group previously established 2-dimensional fetal growth standards using sonographic data from a large cohort with multiple sonograms. A separate objective of that investigation involved the collection of fetal volumes from the same cohort.

Objective: The Fetal 3D Study was designed to establish standards for fetal soft tissue and organ volume measurements by 3-dimensional ultrasonography and compare growth trajectories with …

Intra- And Postoperative Complications In 4565 Vnotes Hysterectomies: International Registry Cohort Study., Andrea Stuart, Johanna Wagenius, Levon Badiglian-Filho, Jens Schnabel, Alvaro Montealegre, Sophia Ehrström, Michael Hartmann, Jona Vercammen, Daniela Huber, Anna Lingström, Jan Baekelandt

Faculty, Staff and Student Publications

Objective: To present the rates of intra- and postoperative complications and conversions in a large cohort of unselected vNOTES hysterectomies, performed by surgeons with different levels of expertise.

Design: International register-based cohort study.

Setting: Hysterectomies in the iNOTESs registry, 2015 to January 2024, performed by 201 surgeons from multiple countries.

Population: 4565 patients undergoing vNOTES hysterectomy.

Methods: Descriptive data are presented in frequencies (n) and percent (%).

Main outcome measure: Intra- and postoperative complications. Conversions.

Results: Intraoperative and postoperative complication rates were 3.2% (n = 144) and 2.5% (n = 115), respectively. Conversions occurred in 1.6% (n = 72), of …

Synchronous Presentation Of Right Parotid Branchial Cleft Cyst And Left Neck Hpv-Associated Cystic Metastatic Squamous Cell Carcinoma: A Diagnostic Quandary, Syed H A Naqvi, Syed H S Naqvi, David Allen, Arturo A Eguia, Jing Liu, Ron J Karni

Faculty, Staff and Student Publications

Branchial cleft cyst arising within the parotid space is considered an extremely rare phenomenon. In contrast, cystic squamous cell carcinoma in the lateral neck is not an uncommon presentation of HPV-related head and neck cancer. Although they have singly been narrated in literature, simultaneous expression of these anomalies has yet to be reported. We describe a case of synchronous presentation of branchial cleft cyst of the right parotid gland and cystic metastatic squamous cell carcinoma of the left neck. These findings are discussed in light of the challenges in fine needle aspiration biopsy of cystic masses, and the risk of …

Oxidized Carbon Nanoparticles Enhance Cellular Energetics With Application To Injured Brain, Karthik Mouli, Anton V Liopo, Emily A Mchugh, Erica Underwood, Jing Zhao, Pramod K Dash, Anh T T Vo, Vikas H Malojirao, Muralidhar L Hegde, James M Tour, Paul J Derry, Thomas A Kent

Faculty, Staff and Student Publications

Pro-energetic effects of functionalized, oxidized carbon nanozymes (OCNs) are reported. OCNs, derived from harsh acid oxidation of single-wall carbon nanotubes or activated charcoal are previously shown to possess multiple nanozymatic activities including mimicking superoxide dismutase and catalyzing the oxidation of reduced nicotinamide adenine dinucleotide (NADH) to NAD+. These actions are predicted to generate a glycolytic shift and enhance mitochondrial energetics under impaired conditions. Impaired mitochondrial energy metabolism is increasingly recognized as an important facet of traumatic brain injury (TBI) pathophysiology and decreases the efficiency of electron transport chain (ETC)-coupled adenosine triphosphate (ATP) and NAD+ regeneration. In vitro, OCNs promote a …

In Pursuit Of Ki-Rads: Toward A Single, Evidence-Based Imaging Classification Of Renal Masses, Stuart G Silverman, Ivan Pedrosa, Nicola Schieda, Vitaly Margulis, Payal Kapur, Matthew S Davenport

Faculty, Staff and Student Publications

Despite the successful application of Imaging Reporting and Data Systems to improve the radiologic description and management of disease in many organs, one does not yet exist for the kidney. Instead, the radiologic approach to the kidney has focused on the Bosniak classification system, which is based on imaging characteristics for cystic renal masses, and detecting macroscopic fat within solid renal masses. Radiologically, cystic and solid renal masses are categorized and evaluated separately because of historical precedent, differences in appearance at imaging, and differences in biologic behavior. However, the World Health Organization classification of renal neoplasms does not support such …

Proteasome Augmentation Mitigates Age-Related Cognitive Decline In Mice, Danitra Parker, Kanisa Davidson, Pawel A Osmulski, Maria Gaczynska, Andrew M Pickering

Faculty, Staff and Student Publications

The aging brain experiences a significant decline in proteasome function. The proteasome is critical for many key neuronal functions including neuronal plasticity, and memory formation/retention. Treatment with proteasome inhibitors impairs these processes. Our study reveals a marked reduction in 20S and 26S proteasome activities in aged mice brains, including in the hippocampus, this is driven by reduced functionality of aged proteasome. The decline in proteasome activity is matched by a decline in 20S proteasome assembly. In contrast, 26S proteasome assembly was found to increase with age, though 26S proteasome activity was still found to decline. Our data suggests that age-related …

Genomics And Multiomics In The Age Of Precision Medicine, Srinivasan Mani, Seema R Lalani, Mohan Pammi

Faculty, Staff and Students Publications

Precision medicine is a transformative healthcare model that utilizes an understanding of a person's genome, environment, lifestyle, and interplay to deliver customized healthcare. Precision medicine has the potential to improve the health and productivity of the population, enhance patient trust and satisfaction in healthcare, and accrue health cost-benefits both at an individual and population level. Through faster and cost-effective genomics data, next-generation sequencing has provided us the impetus to understand the nuances of complex interactions between genes, diet, and lifestyle that are heterogeneous across the population. The emergence of multiomics technologies, including transcriptomics, proteomics, epigenomics, metabolomics, and microbiomics, has enhanced …

Evaluation Of Enzyme Activity Predictions For Variants Of Unknown Significance In Arylsulfatase A, Shantanu Jain, Marena Trinidad, Thanh Binh Nguyen, Kaiya Jones, Santiago Diaz Neto, Fang Ge, Ailin Glagovsky, Cameron Jones, Giankaleb Moran, Boqi Wang, Kobra Rahimi, Sümeyra Zeynep Çalıcı, Luis R Cedillo, Silvia Berardelli, Buse Özden, Ken Chen, Panagiotis Katsonis, Amanda Williams, Olivier Lichtarge, Sadhna Rana, Swatantra Pradhan, Rajgopal Srinivasan, Rakshanda Sajeed, Dinesh Joshi, Eshel Faraggi, Robert Jernigan, Andrzej Kloczkowski, Jierui Xu, Zigang Song, Selen Özkan, Natàlia Padilla, Xavier De La Cruz, Rocio Acuna-Hidalgo, Andrea Grafmüller, Laura T Jiménez Barrón, Matteo Manfredi, Castrense Savojardo, Giulia Babbi, Pier Luigi Martelli, Rita Casadio, Yuanfei Sun, Shaowen Zhu, Yang Shen, Fabrizio Pucci, Marianne Rooman, Gabriel Cia, Daniele Raimondi, Pauline Hermans, Sofia Kwee, Ella Chen, Courtney Astore, Akash Kamandula, Vikas Pejaver, Rashika Ramola, Michelle Velyunskiy, Daniel Zeiberg, Reet Mishra, Teague Sterling, Jennifer L Goldstein, Jose Lugo-Martinez, Sufyan Kazi, Sindy Li, Kinsey Long, Steven E Brenner, Constantina Bakolitsa, Predrag Radivojac, Dean Suhr, Teryn Suhr, Wyatt T Clark

Faculty, Staff and Students Publications

Continued advances in variant effect prediction are necessary to demonstrate the ability of machine learning methods to accurately determine the clinical impact of variants of unknown significance (VUS). Towards this goal, the ARSA Critical Assessment of Genome Interpretation (CAGI) challenge was designed to characterize progress by utilizing 219 experimentally assayed missense VUS in the Arylsulfatase A (ARSA) gene to assess the performance of community-submitted predictions of variant functional effects. The challenge involved 15 teams, and evaluated additional predictions from established and recently released models. Notably, a model developed by participants of a genetics and coding bootcamp, trained with standard machine-learning …

Management If Aggressive And Disruptive Behavior In The Emergency Department Using De-Escalation Techniques And Simulation: A Quality Improvement Project To Improve The Knowledge And Confidence Of Emergency Department Nurses And Clinical Staff, Ernestine Darby-Littlejohn

Electronic Theses and Dissertations

Abstract

Approximately 40% of all healthcare workers have reported episodes of violence by patients over the last 2 years. This Veteran’s Health Agency reported 824 disruptive events reported in the last 5 years, of which 56 occurred in the emergency department. Research shows that interventions are not always timely, resulting in the clinical staff requesting the Veteran’s Health Agency Police to intervene when a veteran’s level of stress is escalating. The gap in practice is shown to be related to a lack of knowledge in the clinical staff in managing high stress levels exhibited by some veterans, limited knowledge of …

The Association Between Gulf War Illness And Suicidal Thoughts And Behaviors Among Gulf War Era Veterans, Rachele K Lipsky, Drew A Helmer, Jean C Beckham, Patrick S Calhoun, Mary Jo Pugh, Nathan A Kimbrel

Faculty, Staff and Students Publications

The rate of death by suicide is elevated among Veterans of all eras. Chronic symptoms of pain, depression, and sleep disturbances are also common among Veterans, and these symptoms are associated with suicidal thoughts and behaviors. About 25% of the 697,000 Gulf War Era Veterans deployed to the Persian Gulf theater in 1990-1991 remain afflicted with chronic, unexplained symptoms known as Gulf War Illness (GWI). This study used data from a national sample of Gulf War Veterans (N = 1142) who completed a survey of demographic, military, and health information. Multivariable logistic regression models, controlling for confounding variables, tested for …

Chronic Hepatitis And Hemophagocytic Lymphohistiocytosis Associated With Systemic Chronic Active Epstein-Barr Virus Disease, Emmanuel Palomera-Tejeda, Lauren Shaffer, Michael Shi, Nagasri Shankar, Roshan Raza, George Cholankeril

Faculty, Staff and Students Publications

Systemic chronic active Epstein-Barr virus (EBV) disease is a rare, delayed, and life-threatening complication of EBV infection. It is characterized by persistent viremia and a mononucleosis-like syndrome with multisystemic involvement because of lymphocytic tissue infiltration. We present the case of an 82-year-old woman without known immunodeficiency who presented with abnormal liver enzymes and interstitial pneumonia. Investigations revealed hyperferritinemia, elevated soluble interleukin-2 receptor levels, hypofibrinogenemia, and hepatosplenomegaly, consistent with hemophagocytic lymphohistiocytosis, as well as a high EBV viral load. Liver biopsy demonstrated portal chronic lymphocytic inflammation and positive EBV in situ hybridization, suggesting systemic chronic active Epstein-Barr virus disease as the …

Benchmark Workshop On Application Of Stock Synthesis (Ss3) On Selected Stocks​ (Wkbss3), Mikel Aristegui-Ezquibela, Bryce Stewart

School of Biological and Marine Sciences

No abstract provided.

Ethnoracial Disparities In Gray Matter Atrophy Are Mediated By Structural Disconnectivity In Multiple Sclerosis, Ahmed Bayoumi, Joseph A Thomas, Breanna R Alonzo, Juan Jimenez, Christopher M Orlando, Carlos A Pérez, Khader M Hasan, Jerry S Wolinsky, John A Lincoln

Faculty, Staff and Student Publications

Objective: To investigate ethnoracial disparities in gray matter (GM) atrophy, the contribution of white matter lesions and consequent structural disconnectivity among patients with multiple sclerosis (MS).

Methods: This retrospective study included 297 patients with MS (pwMS), 98 Hispanic/Latinx (H-MS), 82 non-Hispanic Black (B-MS), and 117 non-Hispanic White (W-MS). GM atrophy was assessed using univariate, voxel-based morphometry, and multivariate techniques, source-based morphometry. Structural disconnectivity secondary to white matter lesions was evaluated using the network modification tool. Mediation analyses explored relationships between ethnoracial groups, white matter lesions, structural disconnectivity, and gray matter atrophy.

Results: B-MS and H-MS generally exhibited greater gray matter …

Medical Image Segmentation Assisted With Clinical Inputs Via Language Encoder In A Deep Learning Framework, Hengrui Zhao, Biling Wang, Deepkumar Mistry, Jing Wang, Michael Dohopolski, Daniel Yang, Weiguo Lu, Steve Jiang, Dan Nguyen

Faculty, Staff and Student Publications

Introduction: Auto-segmentation of tumor volumes and organs at risk (OARs) is a critical step in cancer radiotherapy treatment planning, where rapid, precise adjustments to treatment plans are required to match the patient anatomy. Although auto-segmentation has been clinically accepted for most OARs, auto-segmentation of tumor volumes, particularly clinical target volumes (CTVs), remains a challenge. This difficulty arises because images alone are often insufficient to capture the necessary information for accurate delineation of microscopic tumor invasion invisible on the image itself.

Methods: We propose a deep learning-based medical image segmentation framework designed to mimic the clinical process of delineating CTVs and …

The Associations Of Sensory Impairment With 10-Year Risk Of Dementia And Alzheimer's Disease: The Health And Retirement Study, 2010-2020, Kun Li, Rahul Ghosal, Donglan Zhang, Yike Li, Matthew C Lohman, Monique J Brown, Anwar T Merchant, Chih-Hsiang Yang, Jean Neils-Strunjas, Daniela B Friedman, Jingkai Wei

Faculty, Staff and Student Publications

Background: Studies have examined the association between dual sensory impairment and late-life cognitive outcomes in the U.S with inconsistent findings.

Objective: To examine the associations between sensory impairment and 10-year risk of dementia or Alzheimer's disease among U.S. adults aged ≥ 50.

Methods: A prospective cohort study based on the Health and Retirement Study from 2010 to 2020. Individuals aged ≥ 50 years without self-reported dementia and Alzheimer's disease in 2010 were included in the analysis. Self-reported visual and hearing impairments were measures in 2010. Main failure events included self-reported incident dementia and Alzheimer's disease over a 10-year follow-up period. …

Depletion Of Acetyl-Coa Carboxylase 1 Facilitates Epithelial-Mesenchymal Transition In Prostate Cancer Cells By Activating The Mapk/Erk Pathway, Jiarun Lai, Shaoyou Liu, Yupeng Chen, Jian Chen, Jinchuang Li, Zhenguo Liang, Xinyue Mei, Yuanfa Feng, Zhaodong Han, Funeng Jiang, Shengbang Yang, Yongding Wu, Huijing Tan, Junchen Liu, Huichan He, Weide Zhong

Faculty, Staff and Student Publications

Hyperactivation of fatty acid biosynthesis holds promise as a targeted therapeutic strategy in prostate cancer (PCa). However, inhibiting these enzymes could potentially promote metastatic progression in various other cancers. Herein, we found that depletion of acetyl-CoA carboxylase 1 (encoded by ACACA), the enzyme responsible for the first and rate-limiting step of de novo fatty acid biosynthesis, facilitated epithelial-mesenchymal transition (EMT) and migration of PCa cells. This finding was validated in vitro through cell migration assays and in vivo using a metastatic model established by tail vein injection of ACACA-depleted cells into BALB/c nude mice. Additionally, depletion of ACACA activated the …

Factors Affecting Waiting Times To Enter Opioid Use Disorder Treatment In The United States With A Particular Focus On Potential Biological Sex Disparity, Stanley Nkemjika, Kenneth Oforeh, Connie Olwit, Olaniyi Olayinka, Terence Tumenta

Faculty, Staff and Student Publications

Aim: Opioid use disorder (OUD) is the problematic use of licit or illicit opioids. Thus far, the literature on biological sex differences in accessing treatment is scarce. Hence, we hypothesize that biological sex has a moderating effect on OUD treatment accessibility. We aim to explore biological sex differences in treatment disparities and its role in wait time to enter OUD treatment.

Method: Using the 2018 Treatment Episode Data Set Discharge, the national sample representative of OUD patients in the substance use disorder treatment facilities within the 50 states of the United States was 382,547. Univariate and multivariable logistic analysis of …

Arkansas Soybean Research Studies 2023, Jeremy Ross

Arkansas Agricultural Experiment Station Research Series

The 2023 Arkansas Soybean Research Studies includes research reports on topics pertaining to soybean across several disciplines from breeding to post-harvest processing. Research reports contained in this publication may represent preliminary or only data from a single year or limited results; therefore, these results should not be used as a basis for long-term recommendations.

Several research reports in this publication will appear in other University of Arkansas System Division of Agriculture’s Arkansas Agricultural Experiment Station publications. This duplication is the result of the overlap in research coverage between disciplines and our effort to inform Arkansas soybean producers of the research …

Difference-Makers For Collecting Sexual Orientation And Gender Identity Data In Oncology Settings, Mandi L Pratt-Chapman, Edward J Miech, Megan A Mullins, Shine Chang, Gwendolyn P Quinn, Shail Maingi, Matthew B Schabath, Charles Kamen

Faculty, Staff and Student Publications

Purpose: The purpose of this analysis was to identify key difference-making conditions that distinguish oncology institutions that collect sexual orientation and gender identity (SOGI) data across a sample of American Society of Clinical Oncology (ASCO) members.

Methods: From October to November 2020, an anonymous 54-item web-based survey was distributed to ASCO members. Coincidence analysis was used to identify difference-making conditions for the collection of SOGI data.

Results: ASCO members' responses to just three items consistently distinguished practices that reported collecting both SO and GI data (n = 25) from those who did not (n = 20): (1)."Do you ask your …

An Automated Treatment Planning Portfolio For Whole Breast Radiotherapy, Hana Baroudi, Leonard Che Fru, Deborah Schofield, Dominique L Roniger, Callistus Nguyen, Donald Hancock, Christine Chung, Beth M Beadle, Kent A Gifford, Tucker Netherton, Joshua S Niedzielski, Adam Melancon, Manickam Muruganandham, Meena Khan, Simona F Shaitelman, Sanjay Shete, Patricia Murina, Daniel Venencia, Sheeba Thengumpallil, Conny Vrieling, Joy Zhang, Melissa P Mitchell, Laurence E Court

Faculty, Staff and Student Publications

Background: Automation in radiotherapy presents a promising solution to the increasing cancer burden and workforce shortages. However, existing automated methods for breast radiotherapy lack a comprehensive, end-to-end solution that meets varying standards of care.

Purpose: This study aims to develop a complete portfolio of automated radiotherapy treatment planning for intact breasts, tailored to individual patient factors, clinical approaches, and available resources.

Methods: We developed five automated conventional treatment approaches and utilized an established RapidPlan model for volumetric arc therapy. These approaches include conventional tangents for whole breast treatment, two variants for supraclavicular nodes (SCLV) treatment with/without axillary nodes, and two …

Qsp Modeling Shows Pathological Synergism Between Insulin Resistance And Amyloid-Beta Exposure In Upregulating Vcam1 Expression At The Bbb Endothelium, Zengtao Wang, Vaishnavi Veerareddy, Xiaojiao Tang, Kevin J Thompson, Sunil Krishnan, Krishna R Kalari, Karunya K Kandimalla

Faculty, Staff and Student Publications

Type 2 diabetes mellitus (T2DM), characterized by insulin resistance, is closely associated with Alzheimer's disease (AD). Cerebrovascular dysfunction is manifested in both T2DM and AD, and is often considered as a pathological link between the two diseases. Insulin signaling regulates critical functions of the blood-brain barrier (BBB), and endothelial insulin resistance could lead to BBB dysfunction, aggravating AD pathology. However, insulin signaling is intrinsically dynamic and involves interactions among numerous molecular mediators. Hence, a mechanistic systems biology model is needed to understand how insulin regulates BBB physiology and the consequences of its impairment in T2DM and AD. In this study, …