Digital Commons Network^™

Prediagnostic Amino Acid Metabolites And Risk Of Gout, Accounting For Serum Urate: Prospective Cohort Study And Mendelian Randomization, Natalie Mccormick, Amit D Joshi, Chio Yokose, Bing Yu, Adrienne Tin, Robert Terkeltaub, Tony R Merriman, Oana Zeleznik, A Heather Eliassen, Gary C Curhan, Hang-Korng Ea, Matthew Nayor, Laura M Raffield, Hyon K Choi

Faculty, Staff and Student Publications

Objective: Our objective was to prospectively investigate prediagnostic population-based metabolome for risk of hospitalized gout (ie, most accurate, severe, and costly cases), accounting for serum urate.

Methods: We conducted prediagnostic metabolome-wide analyses among 249,677 UK Biobank participants with nuclear magnetic resonance metabolomic profiling (N = 168 metabolites, including eight amino acids) from baseline blood samples (2006-2010) without a history of gout. We calculated multivariable hazard ratios (HRs) for hospitalized incident gout, before and after adjusting for serum urate levels; we included patients with nonhospitalized incident gout in a sensitivity analysis. Potential causal effects were evaluated with two-sample Mendelian randomization.

Results: …

Bivariate Genome-Wide Association Study Of Circulating Fibrinogen And C-Reactive Protein Levels, Julie Hahn, Gerard Temprano-Sagrera, Natalie R Hasbani, Symen Ligthart, Abbas Dehghan, Alisa S Wolberg, Nicholas L Smith, Maria Sabater-Lleal, Alanna C Morrison, Paul S De Vries

Faculty, Staff and Student Publications

Background: Fibrinogen and C-reactive protein (CRP) play an important role in inflammatory pathways and share multiple genetic loci reported in previously published genome-wide association studies (GWAS), highlighting their common genetic background. Leveraging the shared biology may identify further loci pleiotropically associated with both fibrinogen and CRP.

Objectives: To identify novel genetic variants that are pleiotropic and associated with both fibrinogen and CRP, by integrating both phenotypes in a bivariate GWAS by using a multitrait GWAS.

Methods: We performed a bivariate GWAS to identify further pleiotropic genetic loci, using summary statistics of previously published GWAS on fibrinogen (n = 120 246) …

Identification Of Proteins Associated With Type 2 Diabetes Risk In Diverse Racial And Ethnic Populations, Shuai Liu, Jingjing Zhu, Hua Zhong, Chong Wu, Haoran Xue, Burcu F Darst, Xiuqing Guo, Peter Durda, Russell P Tracy, Yongmei Liu, W Craig Johnson, Kent D Taylor, Ani W Manichaikul, Mark O Goodarzi, Robert E Gerszten, Clary B Clish, Yii-Der Ida Chen, Heather Highland, Christopher A Haiman, Christopher R Gignoux, Leslie Lange, David V Conti, Laura M Raffield, Lynne Wilkens, Loïc Le Marchand, Kari E North, Kristin L Young, Ruth J Loos, Steve Buyske, Tara Matise, Ulrike Peters, Charles Kooperberg, Alexander P Reiner, Bing Yu, Eric Boerwinkle, Quan Sun, Mary R Rooney, Justin B Echouffo-Tcheugui, Martha L Daviglus, Qibin Qi, Nicholas Mancuso, Changwei Li, Youping Deng, Alisa Manning, James B Meigs, Stephen S Rich, Jerome I Rotter, Lang Wu

Faculty, Staff and Student Publications

Aims/hypothesis: Several studies have reported associations between specific proteins and type 2 diabetes risk in European populations. To better understand the role played by proteins in type 2 diabetes aetiology across diverse populations, we conducted a large proteome-wide association study using genetic instruments across four racial and ethnic groups: African; Asian; Hispanic/Latino; and European.

Methods: Genome and plasma proteome data from the Multi-Ethnic Study of Atherosclerosis (MESA) study involving 182 African, 69 Asian, 284 Hispanic/Latino and 409 European individuals residing in the USA were used to establish protein prediction models by using potentially associated cis- and trans-SNPs. The models were …

Association Of Common And Rare Variants With Alzheimer’S Disease In More Than 13,000 Diverse Individuals With Whole-Genome Sequencing From The Alzheimer’S Disease Sequencing Project, Wan-Ping Lee, Seung Hoan Choi, Margaret G Shea, Po-Liang Cheng, Beth A Dombroski, Achilleas N Pitsillides, Nancy L Heard-Costa, Hui Wang, Katia Bulekova, Amanda B Kuzma, Yuk Yee Leung, John J Farrell, Honghuang Lin, Brian W Kunkle, Adam Naj, Elizabeth E Blue, Frederick Nusetor, Dongyu Wang, Eric Boerwinkle, William S Bush, Xiaoling Zhang, Philip L De Jager, Josée Dupuis, Lindsay A Farrer, Myriam Fornage, Eden Martin, Margaret Pericak-Vance, Sudha Seshadri, Ellen M Wijsman, Li-San Wang, Alzheimer's Disease Sequencing Project;, Gerard D Schellenberg, Anita L Destefano, Jonathan L Haines, Gina M Peloso

Faculty, Staff and Student Publications

INTRODUCTION: Alzheimer's disease (AD) is a common disorder of the elderly that is both highly heritable and genetically heterogeneous.

METHODS: We investigated the association of AD with both common variants and aggregates of rare coding and non-coding variants in 13,371 individuals of diverse ancestry with whole genome sequencing (WGS) data.

RESULTS: Pooled-population analyses of all individuals identified genetic variants at apolipoprotein E (APOE) and BIN1 associated with AD (p < 5 × 10

DISCUSSION: We observed that complementary pooled-population and subgroup-specific analyses offered unique insights into the genetic architecture of AD.

HIGHLIGHTS: We determine the association of genetic variants with Alzheimer's disease (AD) using …

Artificial Intelligence Uncertainty Quantification In Radiotherapy Applications – A Scoping Review, Kareem A Wahid, Zaphanlene Y Kaffey, David P Farris, Laia Humbert-Vidan, Amy C Moreno, Mathis Rasmussen, Jintao Ren, Mohamed A Naser, Tucker J Netherton, Stine Korreman, Guha Balakrishnan, Clifton D Fuller, David Fuentes, Michael J Dohopolski

Faculty, Staff and Student Publications

Background/purpose: The use of artificial intelligence (AI) in radiotherapy (RT) is expanding rapidly. However, there exists a notable lack of clinician trust in AI models, underscoring the need for effective uncertainty quantification (UQ) methods. The purpose of this study was to scope existing literature related to UQ in RT, identify areas of improvement, and determine future directions.

Methods: We followed the PRISMA-ScR scoping review reporting guidelines. We utilized the population (human cancer patients), concept (utilization of AI UQ), context (radiotherapy applications) framework to structure our search and screening process. We conducted a systematic search spanning seven databases, supplemented by manual …

Development Of Novel Ionization Chambers For Reference Dosimetry In Electron Flash Radiotherapy, Kevin Liu, Shannon Holmes, Ahtesham Ullah Khan, Brian Hooten, Larry Dewerd, Emil Schüler, Sam Beddar

Faculty, Staff and Student Publications

Background: Reference dosimetry in ultra-high dose rate (UHDR) beamlines is significantly hindered by limitations in conventional ionization chamber design. In particular, conventional chambers suffer from severe charge collection efficiency (CCE) degradation in high dose per pulse (DPP) beams.

Purpose: The aim of this study was to optimize the design and performance of parallel plate ion chambers for use in UHDR dosimetry applications, and evaluate their potential as reference class chambers for calibration purposes. Three chamber designs were produced to determine the influence of the ion chamber response on electrode separation, field strength, and collection volume on the ion chamber response …

Pathway-Based Clustering Identifies Two Subtypes Of Cancer-Associated Fibroblasts Associated With Distinct Molecular And Clinical Features In Pancreatic Ductal Carcinoma, Hongjing Ai, Rongfang Nie, Xiaosheng Wang

Faculty, Staff and Student Publications

Existing single-cell clustering methods are based on gene expressions that are susceptible to dropout events in single-cell RNA sequencing (scRNA-seq) data. To overcome this limitation, we proposed a pathway-based clustering method for single cells (scPathClus). scPathClus first transforms single-cell gene expression matrix into pathway enrichment matrix and generates its latent feature matrix. Based on the latent feature matrix, scPathClus clusters single cells using the method of community detection. Applying scPathClus to PDAC scRNA-seq datasets, we identified two types of cancer-associated fibroblasts (CAFs), termed csCAFs and gapCAFs, which highly expressed complement system and gap junction-related pathways, respectively. Spatial transcriptome analysis revealed …

Mimicking Large Spot-Scanning Radiation Fields For Proton Flash Preclinical Studies With A Robotic Motion Platform, Fada Guan, Dadi Jiang, Xiaochun Wang, Ming Yang, Kiminori Iga, Yuting Li, Lawrence Bronk, Julianna Bronk, Liang Wang, Youming Guo, Narayan Sahoo, David R Grosshans, Albert C Koong, Xiaorong R Zhu, Radhe Mohan

Faculty, Staff and Student Publications

Previously, a synchrotron-based horizontal proton beamline (87.2 MeV) was successfully commissioned to deliver radiation doses in FLASH and conventional dose rate modes to small fields and volumes. In this study, we developed a strategy to increase the effective radiation field size using a custom robotic motion platform to automatically shift the positions of biological samples. The beam was first broadened with a thin tungsten scatterer and shaped by customized brass collimators for irradiating cell/organoid cultures in 96-well plates (a 7-mm-diameter circle) or for irradiating mice (1-cm

Cutaneous T Cell Lymphoma Atlas Reveals Malignant Th2 Cells Supported By A B Cell-Rich Tumor Microenvironment, Ruoyan Li, Johanna Strobl, Elizabeth F M Poyner, Aya Balbaa, Fereshteh Torabi, Pavel V Mazin, Nana-Jane Chipampe, Emily Stephenson, Ciro Ramírez-Suástegi, Vijaya Baskar Mahalingam Shanmugiah, Louis Gardner, Bayanne Olabi, Rowen Coulthard, Rachel A Botting, Nina Zila, Elena Prigmore, Nusayhah H Gopee, Marta A Chroscik, Efpraxia Kritikaki, Justin Engelbert, Issac Goh, Hon Man Chan, Harriet F Johnson, Jasmine Ellis, Victoria Rowe, Win Tun, Gary Reynolds, Dexin Yang, April Rose Foster, Laure Gambardella, Elena Winheim, Chloe Admane, Benjamin Rumney, Lloyd Steele, Laura Jardine, Julia Nenonen, Keir Pickard, Jennifer Lumley, Philip Hampton, Simeng Hu, Fengjie Liu, Xiangjun Liu, David Horsfall, Daniela Basurto-Lozada, Louise Grimble, Chris M Bacon, Sophie C Weatherhead, Hanna Brauner, Yang Wang, Fan Bai, Nick J Reynolds, Judith E Allen, Constanze Jonak, Patrick M Brunner, Sarah A Teichmann, Muzlifah Haniffa

Faculty, Staff and Student Publications

Cutaneous T cell lymphoma (CTCL) is a potentially fatal clonal malignancy of T cells primarily affecting the skin. The most common form of CTCL, mycosis fungoides, can be difficult to diagnose, resulting in treatment delay. We performed single-cell and spatial transcriptomics analysis of skin from patients with mycosis fungoides-type CTCL and an integrated comparative analysis with human skin cell atlas datasets from healthy and inflamed skin. We revealed the co-optation of T helper 2 (TH2) cell-immune gene programs by malignant CTCL cells and modeling of the tumor microenvironment to support their survival. We identified MHC-II+ fibroblasts and dendritic cells that …

Association Between Socioeconomic Disadvantage And Risks Of Early And Recurrent Admissions Among Patients With Newly Diagnosed Heart Failure, Radha Dhingra, Hanzhang Xu, Bradley G Hammill, Scott M Lynch, Jessica S West, Michael D Green, Eric D Peterson, Lesley H Curtis, Matthew E Dupre

Faculty, Staff and Student Publications

Background: Socioeconomic disadvantage is associated with greater risks of hospital readmission and mortality among patients with heart failure (HF). However, it is less clear whether socioeconomic disadvantage has an immediate and lasting impact on the risk of admissions after the diagnosis of HF.

Methods: We used electronic health record data of patients aged 65 years and older with newly diagnosed HF between January 2015 and July 2018 in the Duke University Health System, with up to 8 years of follow-up. We assessed the association between neighborhood-level disadvantage, measured by the area deprivation index (lower, moderate, or higher) and hospital admissions …

Drug And Biomarker Tissue Levels In A Randomized Presurgical Trial On Exemestane Alternative Schedules, Davide Serrano, Harriet Johansson, Bjørn-Erik Bertelsen, Sara Gandini, Gunnar Mellgren, Parijatham Thomas, Katherine D Crew, Nagi B Kumar, Debora Macis, Valentina Aristarco, Aliana Guerrieri-Gonzaga, Matteo Lazzeroni, Mauro D'Amico, Tania Buttiron-Webber, Irene Maria Briata, Stefano Spinaci, Viviana Galimberti, Lana A Vornik, Eduardo Villar-Sanchez, Powel H Brown, Brandy M Heckman-Stoddard, Eva Szabo, Bernardo Bonanni, Andrea Decensi

Faculty, Staff and Student Publications

The drug's activity at the target tissue could help to define the minimal effective dose to promote cancer preventive therapy. Here we present exemestane and sex hormone concentrations within breast tissue from a presurgical study of alternative exemestane schedules. Postmenopausal women candidates for breast surgery for estrogen receptor-positive breast cancer were randomly assigned to exemestane 25 mg once daily (QD), 25 mg 3 times/week (TIW), or 25 mg per week (QW) for 4-6 weeks before surgery. Drug and sex hormones were analyzed from homogenized frozen tissue using a QTRAP 6500+ LC-MS/MS System. Tissue drug concentrations were detectable only in the …

Association Between Chronotype And Chronic Neuropathic Pain Sensitivity: A Pilot Prospective, Observational, Single-Center, Cross-Sectional Study, Michael Kim, Yuri C Martins, Kishan Patel, Chiu-Hsieh Hsu, Mohab Ibrahim, Vasudha Goel, Amol M Patwardhan, Sejal Jain

Faculty, Staff and Student Publications

Background: Chronotype defines an organism's biological preference for timing of activity and sleep. Being a morning chronotype (i.e., tending to wake up early and go to bed earlier at night) is associated with protection against chronic musculoskeletal pain and headaches, but the relationship between chronotype and neuropathic pain sensitivity remains unclear.

Objectives: The aim of this pilot study was to explore the relationship among chronotype, neuropathic pain sensitivity, and pain interference in patients with chronic neuropathic pain disorders.

Study design: This was a prospective, observational, single-center, cross-sectional study.

Setting: Patients were recruited from pain management clinics.

Methods: The Morningness-Eveningness Questionnaire …

Assessment Of Racial Bias Within The Risk Analysis Index Of Frailty, Michael A Jacobs, Leslie R M Hausmann, Robert M Handzel, Susanne Schmidt, Carly A Jacobs, Daniel E Hall

Faculty, Staff and Student Publications

Objective: Our objective was to assess potential racial bias within the Risk Analysis Index (RAI).

Background: Patient risk measures are rarely tested for racial bias. Measures of frailty, like the RAI, need to be evaluated for poor predictive performance among Black patients.

Methods: Retrospective cohort study using April 2010-March 2019 Veterans Affairs Surgical Quality Improvement Program and 2010-2019 National Surgical Quality Improvement Program data. The performance of the RAI and several potential variants were compared between Black and White cases using various metrics to predict mortality (180-day for Veterans Affairs Surgical Quality Improvement Program, 30-day for National Surgical Quality Improvement …

Artificial Intelligence And Machine Learning In Cancer Pain: A Systematic Review, Vivian Salama, Brandon Godinich, Yimin Geng, Laia Humbert-Vidan, Laura Maule, Kareem A Wahid, Mohamed A Naser, Renjie He, Abdallah S R Mohamed, Clifton D Fuller, Amy C Moreno

Faculty, Staff and Student Publications

Background/objectives: Pain is a challenging multifaceted symptom reported by most cancer patients. This systematic review aims to explore applications of artificial intelligence/machine learning (AI/ML) in predicting pain-related outcomes and pain management in cancer.

Methods: A comprehensive search of Ovid MEDLINE, EMBASE and Web of Science databases was conducted using terms: "Cancer," "Pain," "Pain Management," "Analgesics," "Artificial Intelligence," "Machine Learning," and "Neural Networks" published up to September 7, 2023. AI/ML models, their validation and performance were summarized. Quality assessment was conducted using PROBAST risk-of-bias andadherence to TRIPOD guidelines.

Results: Forty four studies from 2006 to 2023 were included. Nineteen studies used …

Assessment Of Gender Differences In Letters Of Recommendation For Physical Therapy Residency Applications, Darren Q Calley, Sunyang Fu, Marissa D Hamilton, Austin W Kalla, Christopher K Lee, Veronica A Rasmussen, John H Hollman, Hongfang Liu

Faculty, Staff and Student Publications

Introduction: Letters of recommendation (LOR) are an integral component of physical therapy residency applications. Identifying the influence of applicant and writer gender in LOR will help identify whether potential implicit gender bias exists in physical therapy residency application processes.

Review of literature: Several medical and surgical residency education programs have reported positive, neutral, or negative LOR female gender bias among applicants and writers. Little research exists on gender differences in LOR to physical therapy education programs or physical therapy residency programs.

Subjects: Seven hundred sixty-eight LOR were analyzed from 256 applications to 3 physical therapy residency programs (neurologic, orthopaedic, sports) …

Brain Gray Matter Changes In Children At Risk For Sudden Unexpected Death In Epilepsy, Bhaswati Roy, Jennifer A Ogren, Luke A Allen, Beate Diehl, Raman Sankar, Samden D Lhatoo, Rajesh Kumar, Ronald M Harper

Faculty, Staff and Student Publications

Background: Potential failing adult brain sites, stratified by risk, mediating Sudden Unexpected Death in Epilepsy (SUDEP) have been described, but are unknown in children.

Methods: We examined regional brain volumes using T1-weighted MRI images in 21 children with epilepsy at high SUDEP risk and 62 healthy children, together with SUDEP risk scores, calculated from focal seizure frequency. Gray matter tissue type was partitioned, maps normalized, smoothed, and compared between groups (SPM12; ANCOVA; covariates, age, sex, and BMI). Partial correlations between regional volumes and seizure frequency were examined (SPM12, covariates, age, sex, and BMI); 67% were at high risk for SUDEP. …

Self- And Informant Report In A First-Time Diagnosis Of Autism Spectrum Disorder In Adulthood: The Role Of Females, Antonio F Pagán, Amy K Izuno-Garcia, Killian R Hughes, Katherine S Chapman, Katherine A Loveland

Faculty, Staff and Student Publications

Objectives: The diagnosis of autism spectrum disorder (ASD) in adulthood is a growing area of research and practice as the number of adults seeking a first-time diagnosis has increased. Informants are often utilized to aid in the evaluation of ASD in childhood. Little is known regarding the convergence of self- and informant-report measures of ASD in adults and whether gender differences exist. We explored the convergence of self-report and informant ratings on two commonly used rating scales and a clinician observation measure for the diagnosis of ASD.

Methods: The present study explored the convergence of two commonly used measures (SRS-2 …

Evaluating Novel In Silico Tools For Accurate Pathogenicity Classification In Epilepsy-Associated Genetic Missense Variants, Ludovica Montanucci, Tobias Brünger, Christian M Boßelmann, Alina Ivaniuk, Eduardo Pérez-Palma, Samden Lhatoo, Costin Leu, Dennis Lal

Faculty, Staff and Student Publications

Objective: Determining the pathogenicity of missense variants in clinical genetic tests for individuals with epilepsy is crucial for guiding personalized treatment. However, achieving a definitive pathogenic classification remains challenging, with most missense variants still classified as variants of uncertain significance (VUS) and with the availability of many computational tools which may provide conflicting predictions. Here, we aim to evaluate the performance of state-of-the-art computational tools in pathogenicity prediction of missense variants in epilepsy-associated genes. This will assist in selecting the most appropriate tool and critically assess their use in clinical setting.

Methods: We assessed the performance of nine in silico …

Systolic Blood Pressure, Cardiovascular Health, And Neurocognition In Adolescents., Stephen R Hooper, Marc B Lande, Joseph T Flynn, Coral D Hanevold, Kevin E Meyers, Joshua Samuels, Richard C Becker, Stephen R Daniels, Bonita E Falkner, Michael A Ferguson, Julie R Ingelfinger, Lisa J Martin, Mark Mitsnefes, Phillip Khoury, Jangdong Seo, Elaine M Urbina

Faculty, Staff and Student Publications

Background: We studied whether increased systolic blood pressure (SBP), as determined by auscultatory SBP, ambulatory SBP, and the number of cardiovascular health risk indicators, are associated with neurocognition in adolescents.

Methods: This cross-sectional study included 365 adolescents (mean age, 15.5 years) from 6 academic medical centers in the United States. The sample was 59.5% male, 52.6% White, with 23.9% of the caregivers having less than or equal to a high school degree. Primary exposures included the following: auscultatory SBP, ambulatory SBP, and the number of cardiovascular risk factors. Neurocognitive outcomes comprised nonverbal IQ, attention, and parent ratings of executive functions. …

Mimosa: A Resource Consisting Of Improved Methylome Prediction Models Increases Power To Identify Dna Methylation-Phenotype Associations, Hunter J Melton, Zichen Zhang, Hong-Wen Deng, Lang Wu, Chong Wu

Faculty, Staff and Student Publications

Although DNA methylation (DNAm) has been implicated in the pathogenesis of numerous complex diseases, from cancer to cardiovascular disease to autoimmune disease, the exact methylation sites that play key roles in these processes remain elusive. One strategy to identify putative causal CpG sites and enhance disease etiology understanding is to conduct methylome-wide association studies (MWASs), in which predicted DNA methylation that is associated with complex diseases can be identified. However, current MWAS models are primarily trained using the data from single studies, thereby limiting the methylation prediction accuracy and the power of subsequent association studies. Here, we introduce a new …

Off-Protocol Radiation Therapy In Phase 3 Metastatic Solid Tumor Trials, Alexander D Sherry, Timothy A Lin, Zachary R Mccaw, Esther J Beck, Ramez Kouzy, Joseph Abi Jaoude, Adina H Passy, Avital M Miller, Gabrielle S Kupferman, Clifton David Fuller, Charles R Thomas, Eugene J Koay, Chad Tang, Pavlos Msaouel, Ethan B Ludmir

Faculty, Staff and Student Publications

Purpose: Increasing data suggest that radiation therapy, particularly ablative radiation therapy, alters the natural history of metastatic disease. For patients with metastatic disease enrolled in prospective trials testing systemic therapy, the use of off-protocol radiation therapy to improve clinical symptoms or extend the duration of study systemic therapy may influence study endpoints. We sought to evaluate how often off-protocol radiation therapy was permitted among systemic therapy phase 3 trials, how often off-protocol radiation therapy is used, and whether off-protocol radiation therapy correlated with study outcomes.

Methods and materials: Two-arm, superiority-design, phase 3 randomized trials testing systemic therapy were screened from …

Telehealth In Emergency Medicine Residency Training: A Model Curriculum, Laura Oh, Rahul Bhat, Michael J Carr, Aditi U Joshi, Bruce M Lo, Ashley C Rider, Lulu Wang, Michael C Wadman, Samuel D Luber

Faculty, Staff and Student Publications

Emergency physicians are well‐positioned to take a leadership role in telehealth, particularly in emerging categories such as triage, direct acute unscheduled care, and virtual observation. However, the growth of telehealth has outpaced curricular development in emergency medicine (EM) residency programs. This manuscript presents a model longitudinal telehealth curriculum, developed by the consensus of education experts, including representatives from the telehealth interest groups from EM's two primary specialty societies: the American College of Emergency Physicians and the Society for Academic Emergency Medicine. The curriculum describes overarching goals and components that may serve as a foundation for individual institutions seeking to train …

Tumor Expression Of Cd83 Reduces Glioma Progression And Is Associated With Reduced Immunosuppression, Malcolm F Mcdonald, Rachel Naomi Curry, Isabella O'Reilly, Brittney Lozzi, Alexis Cervantes, Zhung-Fu Lee, Anna Rosenbaum, Peihao He, Carrie Mohila, Arif O Harmanci, Akdes Serin Harmanci, Benjamin Deneen, Ganesh Rao

Faculty, Staff and Student Publications

Immunosuppression in malignant glioma remains a barrier to therapeutic development. CD83 overexpression in human and mouse glioma increases survival. CD83+ tumor cells promote signatures related to cytotoxic T cells, enhanced activation of CD8+ T cells, and increased proinflammatory cytokines. These findings suggest that tumor-expressed CD83 could mediate tumor-immune communications.

Normal Breast Tissues Harbour Rare Populations Of Aneuploid Epithelial Cells, Yiyun Lin, Junke Wang, Kaile Wang, Shanshan Bai, Aatish Thennavan, Runmin Wei, Yun Yan, Jianzhuo Li, Heba Elgamal, Emi Sei, Anna Casasent, Mitchell Rao, Chenling Tang, Asha S Multani, Jin Ma, Jessica Montalvan, Chandandeep Nagi, Sebastian Winocour, Bora Lim, Alastair Thompson, Nicholas Navin

Faculty, Staff and Student Publications

Aneuploid epithelial cells are common in breast cancer

The Pharmacogenomic And Immune Landscape Of Snornas In Human Cancers, Runhao Wang, Chengxuan Chen, Yuan Liu, Mei Luo, Jingwen Yang, Yamei Chen, Lifei Ma, Liuqing Yang, Chunru Lin, Lixia Diao, Leng Han

Faculty, Staff and Student Publications

Small nucleolar RNAs (snoRNAs) are a class of non-coding RNAs primarily known for their role in the chemical modification of other RNAs. Recent studies suggested that snoRNAs may play a broader role in anti-cancer treatments such as targeted therapies and immunotherapies. Despite these insights, the comprehensive landscape of snoRNA associations with drug response and immunotherapy outcomes remains unexplored. In this study, we identified 79,448 and 75,185 associations between snoRNAs and drug response using data from VAEN and CancerRxTissue, respectively. Additionally, we discovered 29,199 associations between snoRNAs and immune checkpoint genes and 47,194 associations between snoRNAs and immune cell infiltrations. Sixteen …

High Diagnostic Accuracy Of Arterial Phase Ct In Differentiating Pheochromocytoma In Good/Poor Washout Adrenal Masses, Aditya Phadte, Brijesh Krishnappa, Saba Samad Memon, Virendra Patil, Anurag Lila, Padma Vikram Badhe, Vijaya Sarathi, Gwendolyn Fernandes, Sameer Rege, Gagan Prakash, Santosh Menon, Manjiri Karlekar, Rohit Barnabas, Nalini Shah, Hemangini Thakkar, Tushar Bandgar

Faculty, Staff and Student Publications

Introduction: Differentiating pheochromocytomas from other adrenal masses based on computed tomography (CT) characteristics remains challenging, particularly in lipid-poor lesions with variable washout patterns. This study evaluated CT features for distinguishing pheochromocytomas in good and poor washout subcohorts.

Methods: We prospectively analyzed 72 patients with unilateral lipid-poor adrenal masses. CT protocol included basal, bolus-tracked arterial, early venous (45 seconds postarterial), and delayed (15 minutes postarterial) phases. Masses were categorized into good and poor washout groups. Histopathology provided the final diagnosis. CT characteristics and calculated indices were compared between pheochromocytomas and other masses in each washout category.

Results: The cohort included pheochromocytomas …

Septal Wall Synthesis Is Sufficient To Change Ameba-Like Cells Into Uniform Oval-Shaped Cells In Escherichia Coli L-Forms, Masafumi Hayashi, Chigusa Takaoka, Koichi Higashi, Ken Kurokawa, William Margolin, Taku Oshima, Daisuke Shiomi

Faculty, Staff and Student Publications

A cell wall is required to control cell shape and size to maintain growth and division. However, some bacterial species maintain their morphology and size without a cell wall, calling into question the importance of the cell wall to maintain shape and size. It has been very difficult to examine the dispensability of cell wall synthesis in rod-shaped bacteria such as Escherichia coli for maintenance of their shape and size because they lyse without cell walls under normal culture conditions. Here, we show that wall-less E. coli L-form cells, which have a heterogeneous cell morphology, can be converted to a …

Construction And Evaluation Of A New Rat Reference Genome Assembly, Grcr8, From Long Reads And Long-Range Scaffolding, Kai Li, Melissa L Smith, J Chris Blazier, Kelli J Kochan, Jonathan M D Wood, Kerstin Howe, Anne E Kwitek, Melinda R Dwinell, Hao Chen, Julia L Ciosek, Patrick Masterson, Terence D Murphy, Theodore S Kalbfleisch, Peter A Doris

Faculty, Staff and Student Publications

We report the construction and analysis of a new reference genome assembly for Rattus norvegicus, the laboratory rat, a widely used experimental animal model organism. The assembly has been adopted as the rat reference assembly by the Genome Reference Consortium and is named GRCr8. The assembly has employed 40× Pacific Biosciences (PacBio) HiFi sequencing coverage and scaffolding using optical mapping and Hi-C. We used genomic DNA from a male BN/NHsdMcwi (BN) rat of the same strain and from the same colony as the prior reference assembly, mRatBN7.2. The assembly is at chromosome level with 98.7% of the sequence assigned …

Mitigating Neuroinflammation In Cognitive Areas: Exploring The Impact Of Hmg-Coa Reductase Inhibitor, Carlos Henrique Rocha Catalão, Luis Henrique Angenendt Da Costa, Jonathas Rodrigo Dos Santos, Luciane Carla Alberici, Luiz Luciano Falconi-Sobrinho, Norberto Cysne Coimbra, Diogo Dominguini, Felipe Dal-Pizzol, Tatiana Barichello, Maria José Alves Rocha

Faculty, Staff and Student Publications

Existing literature suggests that infection-specific mechanisms may play a significant role in the onset and progression of dementia, as opposed to the broader phenomenon of systemic inflammation. In addition, 3-hydroxy-3-methylglutaryl (HMG)-coenzyme A (CoA) reductase inhibitors have been proposed as a potential therapeutic approach for sepsis, given their anti-inflammatory and antioxidant properties. We investigated the neuroprotective effect of an HMG-CoA reductase inhibitor (simvastatin) by analyzing neurodegenerative markers, mitochondrial respiration, and neuronal tracing in the prefrontal cortex (PFC) and thalamic nucleus reuniens (RE) of sepsis survivor animals. Adult Wistar rats were subjected to sepsis by cecal ligation and puncture or left non-manipulated. …

Efficacy Of High-Definition Transcranial Alternating Current Stimulation (Hd-Tacs) At The M1 Hotspot Versus C3 Site In Modulating Corticospinal Tract Excitability, Hao Meng, Michael Houston, Nicholas Dias, Chen Guo, Gerard Francisco, Yingchun Zhang, Sheng Li

Faculty, Staff and Student Publications

Previous studies have shown that beta-band transcranial alternating current stimulation (tACS) applied at the M1 hotspot can modulate corticospinal excitability. However, it remains controversial whether tACS can influence motor unit activities at the spinal cord level. This study aims to compare the efficacy of applying tACS over the hotspot versus the conventional C3 site on motor unit activities and subsequent behavioral changes. This study used a randomized crossover trial design, where fifteen healthy participants performed a paced ball-squeezing exercise while receiving high-definition tACS (HD-tACS) at 21 Hz and 2 mA for 20 min. HD-tACS targeted either the flexor digitorum superficialis …