Digital Commons Network^™

Role Of Non-Chromosomal Birth Defects On The Risk Of Developing Childhood Hodgkin Lymphoma: A Children’S Oncology Group Study, Erin C Peckham-Gregory, Lucas Maschietto Boff, Jeremy M Schraw, Logan G Spector, Amy M Linabery, Erik B Erhardt, Karina B Ribeiro, Carl E Allen, Michael E Scheurer, Philip J Lupo

Faculty, Staff and Students Publications

Background: Non-chromosomal birth defects are an important risk factor for several childhood cancers. However, these associations are less clear for Hodgkin lymphoma (HL). Therefore, we sought to more fully elucidate the association between non-chromosomal birth defects and HL risk.

Procedure: Information on cases (n = 517) diagnosed with HL (ages of 0-14) at Children's Oncology Group Institutions for the period of 1989-2003 was obtained. Control children without a history of cancer (n = 784) were identified using random digit dialing and individually matched to cases on sex, race/ethnicity, age, and geographic location. Parents completed comprehensive interviews and answered questions including …

Plasma Protein Signatures Of Adult Asthma, Gordon J Smilnak, Yura Lee, Abhijnan Chattopadhyay, Annah B Wyss, Julie D White, Sinjini Sikdar, Jianping Jin, Andrew J Grant, Alison A Motsinger-Reif, Jian-Liang Li, Mikyeong Lee, Bing Yu, Stephanie J London

Faculty, Staff and Student Publications

Background: Adult asthma is complex and incompletely understood. Plasma proteomics is an evolving technique that can both generate biomarkers and provide insights into disease mechanisms. We aimed to identify plasma proteomic signatures of adult asthma.

Methods: Protein abundance in plasma was measured in individuals from the Agricultural Lung Health Study (ALHS) (761 asthma, 1095 non-case) and the Atherosclerosis Risk in Communities study (470 asthma, 10,669 non-case) using the SOMAScan 5K array. Associations with asthma were estimated using covariate adjusted logistic regression and meta-analyzed using inverse-variance weighting. Additionally, in ALHS, we examined phenotypes based on both asthma and seroatopy (asthma with …

A Scoping Review Of Fair Machine Learning Techniques When Using Real-World Data, Yu Huang, Jingchuan Guo, Wei-Han Chen, Hsin-Yueh Lin, Huilin Tang, Fei Wang, Hua Xu, Jiang Bian

Faculty, Staff and Student Publications

Objective: The integration of artificial intelligence (AI) and machine learning (ML) in health care to aid clinical decisions is widespread. However, as AI and ML take important roles in health care, there are concerns about AI and ML associated fairness and bias. That is, an AI tool may have a disparate impact, with its benefits and drawbacks unevenly distributed across societal strata and subpopulations, potentially exacerbating existing health inequities. Thus, the objectives of this scoping review were to summarize existing literature and identify gaps in the topic of tackling algorithmic bias and optimizing fairness in AI/ML models using real-world data …

Identifying A Stable And Generalizable Factor Structure Of Major Depressive Disorder Across Three Large Longitudinal Cohorts, Vincent W S Tseng, Jordan A Tharp, Jacob E Reiter, Weston Ferrer, David S Hong, P Murali Doraiswamy, Stefanie Nickels

Faculty, Staff and Student Publications

The Patient Health Questionnaire 9 (PHQ-9) is the current standard outpatient screening tool for measuring and tracking the nine symptoms of major depressive disorder (MDD). While the PHQ-9 was originally conceptualized as a unidimensional measure, it has become clear that MDD is not a monolithic construct, as evidenced by high comorbidities with other theoretically distinct diagnoses and common symptom overlap between depression and other diagnoses. Therefore, identifying reliable and temporally stable subfactors of depressive symptoms could allow research and care to be tailored to different depression phenotypes. This study improved on previous factor analysis studies of the PHQ-9 by leveraging …

Autoantibodies, Antigen-Autoantibody Complexes And Antigens Complement Ca125 For Early Detection Of Ovarian Cancer, Chae Young Han, Jacob S Bedia, Wei-Lei Yang, Sarah J Hawley, Lindsay Bergan, Marika Hopper, Joseph Celestino, Jing Guo, Terrie G Gornet, Antoninus Soosaipillai, Hailing Yang, Samantha D Doskocil, Anna E Lokshin, Beverly C Handy, Eleftherios P Diamandis, Richard G Moore, Karen H Lu, Zhen Lu, Karen S Anderson, Charles W Drescher, Steven J Skates, Robert C Bast

Faculty, Staff and Student Publications

BACKGROUND: Multiple antigens, autoantibodies (AAb), and antigen-autoantibody (Ag-AAb) complexes were compared for their ability to complement CA125 for early detection of ovarian cancer.

METHODS: Twenty six biomarkers were measured in a single panel of sera from women with early stage (I-II) ovarian cancers (n = 64), late stage (III-IV) ovarian cancers (186), benign pelvic masses (200) and from healthy controls (502), and then split randomly (50:50) into a training set to identify the most promising classifier and a validation set to compare its performance to CA125 alone.

RESULTS: Eight biomarkers detected ≥ 8% of early stage cases at 98% specificity. …

Estimating The Treatment And Prophylactic Economic Value Of New Antimicrobials In Managing Antibiotic Resistance And Serious Infections For Common Pathogens In The Usa: A Population Modelling Study, Jason Gordon, Maria Gheorghe, Cale Harrison, Ryan Miller, James Dennis, Lotte Steuten, Simon Goldenberg, Sumanth Gandra, Amer Al-Taie

2020-Current year OA Pubs

BACKGROUND: Antimicrobial resistance is a growing public health concern. There is a global need to estimate the population-level value of developing new antimicrobials and to ensure the effective use of existing antimicrobials as strategies to counteract antimicrobial resistance. To this aim, population-level value criteria need to be considered alongside conventional value measures.

OBJECTIVE: The objective of this study was to develop a novel modelling approach to estimate the value of new antimicrobials, considering the transmission, diversity and enablement elements of STEDI value.

METHODS: We developed a population-based mathematical model for the assessment of antimicrobial value considering both prophylactic use of …

Novel Avenues Of Tau Research, Claire E Sexton, Gal Bitan, Kathryn R Bowles, Miroslaw Brys, Luc Buée, Mahmoud Bukar Maina, Claire D Clelland, Ann D Cohen, John F Crary, Jeffrey L Dage, Kristophe Diaz, Bess Frost, Li Gan, Alison M Goate, Lawrence I Golbe, Oskar Hansson, Celeste M Karch, Hartmuth C Kolb, Renaud La Joie, Suzee E Lee, Diana Matallana, Bruce L Miller, Chiadi U Onyike, Yakeel T Quiroz, Jessica E Rexach, Jonathan D Rohrer, Amy Rommel, Ghazaleh Sadri-Vakili, Suzanne E Schindler, Julie A Schneider, Reisa A Sperling, Charlotte E Teunissen, Stacie C Weninger, Susan L Worley, Hui Zheng, Maria C Carrillo

Faculty, Staff and Students Publications

INTRODUCTION: The pace of innovation has accelerated in virtually every area of tau research in just the past few years.

METHODS: In February 2022, leading international tau experts convened to share selected highlights of this work during Tau 2022, the second international tau conference co-organized and co-sponsored by the Alzheimer's Association, CurePSP, and the Rainwater Charitable Foundation.

RESULTS: Representing academia, industry, and the philanthropic sector, presenters joined more than 1700 registered attendees from 59 countries, spanning six continents, to share recent advances and exciting new directions in tau research.

DISCUSSION: The virtual meeting provided an opportunity to foster cross-sector collaboration …

A Scoping Review Of Artificial Intelligence In Medical Education: Beme Guide No. 84, Morris Gordon, Janice Hanson, Et Al.

2020-Current year OA Pubs

BACKGROUND: Artificial Intelligence (AI) is rapidly transforming healthcare, and there is a critical need for a nuanced understanding of how AI is reshaping teaching, learning, and educational practice in medical education. This review aimed to map the literature regarding AI applications in medical education, core areas of findings, potential candidates for formal systematic review and gaps for future research.

METHODS: This rapid scoping review, conducted over 16 weeks, employed Arksey and O'Malley's framework and adhered to STORIES and BEME guidelines. A systematic and comprehensive search across PubMed/MEDLINE, EMBASE, and MedEdPublish was conducted without date or language restrictions. Publications included in …

Causal Influence Of Linguistic Learning On Perceptual And Conceptual Processing: A Brain-Constrained Deep Neural Network Study Of Proper Names And Category Terms, Phuc T U Nguyen, Malte R Henningsen-Schomers, Friedemann Pulvermüller

Faculty, Staff and Student Publications

Language influences cognitive and conceptual processing, but the mechanisms through which such causal effects are realized in the human brain remain unknown. Here, we use a brain-constrained deep neural network model of category formation and symbol learning and analyze the emergent model's internal mechanisms at the neural circuit level. In one set of simulations, the network was presented with similar patterns of neural activity indexing instances of objects and actions belonging to the same categories. Biologically realistic Hebbian learning led to the formation of instance-specific neurons distributed across multiple areas of the network, and, in addition, to cell assembly circuits …

The Pathogenicity Of Vancomycin-Resistant Enterococcus Faecalis To Colon Cancer Cells, Li Zhang, Mingxia Deng, Jing Liu, Jiajie Zhang, Fangyu Wang, Wei Yu

Faculty, Staff and Student Publications

BACKGROUND: The aim of this study was to investigate the pathogenicity of vancomycin-resistant Enterococcus faecalis (VREs) to human colon cells in vitro.

METHODS: Three E. faecalis isolates (2 VREs and E. faecalis ATCC 29212) were cocultured with NCM460, HT-29 and HCT116 cells. Changes in cell morphology and bacterial adhesion were assessed at different time points. Interleukin-8 (IL-8) and vascular endothelial growth factor A (VEGFA) expression were measured via RT-qPCR and enzyme-linked immunosorbent assay (ELISA), respectively. Cell migration and human umbilical vein endothelial cells (HUVECs) tube formation assays were used for angiogenesis studies. The activity of PI3K/AKT/mTOR signaling pathway was measured …

Generalizable Pipeline For Constructing Hiv Risk Prediction Models Across Electronic Health Record Systems, Sarah B May, Thomas P Giordano, Assaf Gottlieb

Faculty, Staff and Student Publications

OBJECTIVE: The HIV epidemic remains a significant public health issue in the United States. HIV risk prediction models could be beneficial for reducing HIV transmission by helping clinicians identify patients at high risk for infection and refer them for testing. This would facilitate initiation on treatment for those unaware of their status and pre-exposure prophylaxis for those uninfected but at high risk. Existing HIV risk prediction algorithms rely on manual construction of features and are limited in their application across diverse electronic health record systems. Furthermore, the accuracy of these models in predicting HIV in females has thus far been …

Development Of A Practical Nomogram For Personalized Anemia Management In Patients Treated With Ataxia Telangiectasia And Rad3-Related Inhibitor Camonsertib, Ezra Rosen, Timothy A Yap, Elizabeth K Lee, Martin Højgaard, Niharika B Mettu, Stephanie Lheureux, Benedito A Carneiro, Ruth Plummer, Adrian J Fretland, Danielle Ulanet, Yi Xu, Robin Mcdougall, Maria Koehler, Elisa Fontana

Faculty, Staff and Student Publications

PURPOSE: Camonsertib is a highly selective and potent inhibitor of ataxia telangiectasia and Rad3-related (ATR) kinase. Dose-dependent anemia is a class-related on-target adverse event often requiring dose modifications. Individual patient risk factors for the development of significant anemia complicate the selection of a "one-size-fits-all" ATR inhibitor (ATRi) dose and schedule, possibly leading to suboptimal therapeutic doses in patients at low risk of anemia. We evaluated whether early predictors of anemia could be identified to ultimately inform a personalized dose-modification approach.

PATIENTS AND METHODS: On the basis of preclinical observations and a mechanistic understanding of ATRi-related anemia, we identified several potential …

Pulmonary Fibrosis Stakeholder Summit: A Joint Nhlbi, Three Lakes Foundation, And Pulmonary Fibrosis Foundation Workshop Report, Sydney B Montesi, Christian R Gomez, Michael Beers, Robert Brown, Ishanu Chattopadhyay, Kevin R Flaherty, Christine Kim Garcia, Brigitte Gomperts, Lida P Hariri, Cory M Hogaboam, R Gisli Jenkins, Naftali Kaminski, Grace Hyun J Kim, Melanie Königshoff, Martin Kolb, Darrell N Kotton, Jonathan A Kropski, Joseph Lasky, Chelsea M Magin, Toby M Maher, Mark Mccormick, Bethany B Moore, Cheryl Nickerson-Nutter, Justin Oldham, Anna J Podolanczuk, Ganesh Raghu, Ivan Rosas, Steven M Rowe, William T Schmidt, David Schwartz, Jessica E Shore, Cathie Spino, J Matthew Craig, Fernando J Martinez

Faculty, Staff and Students Publications

Despite progress in elucidation of disease mechanisms, identification of risk factors, biomarker discovery, and the approval of two medications to slow lung function decline in idiopathic pulmonary fibrosis and one medication to slow lung function decline in progressive pulmonary fibrosis, pulmonary fibrosis remains a disease with a high morbidity and mortality. In recognition of the need to catalyze ongoing advances and collaboration in the field of pulmonary fibrosis, the NHLBI, the Three Lakes Foundation, and the Pulmonary Fibrosis Foundation hosted the Pulmonary Fibrosis Stakeholder Summit on November 8–9, 2022. This workshop was held virtually and was organized into three topic …

The Il6/Jak/Stat3 Signaling Axis Is A Therapeutic Vulnerability In Smarcb1-Deficient Bladder Cancer, Chandra Sekhar Amara, Karthik Reddy Kami Reddy, Yang Yuntao, Yuen San Chan, Danthasinghe Waduge Badrajee Piyarathna, Lacey Elizabeth Dobrolecki, David J H Shih, Zhongcheng Shi, Jun Xu, Shixia Huang, Matthew J Ellis, Andrea B Apolo, Leomar Y Ballester, Jianjun Gao, Donna E Hansel, Yair Lotan, H Courtney Hodges, Seth P Lerner, Chad J Creighton, Arun Sreekumar, W Jim Zheng, Pavlos Msaouel, Shyam M Kavuri, Nagireddy Putluri

Faculty, Staff and Student Publications

SMARCB1 loss has long been observed in many solid tumors. However, there is a need to elucidate targetable pathways driving growth and metastasis in SMARCB1-deficient tumors. Here, we demonstrate that SMARCB1 deficiency, defined as genomic SMARCB1 copy number loss associated with reduced mRNA, drives disease progression in patients with bladder cancer by engaging STAT3. SMARCB1 loss increases the chromatin accessibility of the STAT3 locus in vitro. Orthotopically implanted SMARCB1 knockout (KO) cell lines exhibit increased tumor growth and metastasis. SMARCB1-deficient tumors show an increased IL6/JAK/STAT3 signaling axis in in vivo models and patients. Furthermore, a pSTAT3 selective inhibitor, TTI-101, reduces …

Study Protocol For Clinical Trial Of The Fit Families Multicomponent Obesity Intervention For African American Adolescents And Their Caregivers: Next Step From The Orbit Initiative, Phillippe B Cunningham, Sylvie Naar, James R Roberts, Jennifer Powell, David M Ledgerwood, Jeff Randall, Brian E Lozano, Colleen A Halliday, Mohan Madisetti, Samiran Ghosh

Faculty, Staff and Student Publications

INTRODUCTION: This study will test the effectiveness of FIT Families (FIT), a multicomponent family-based behavioural intervention, against a credible attention control condition, Home-Based Family Support (HBFS). This protocol paper describes the design of a randomised clinical trial testing the efficacy of the FIT intervention. The protocol will assess the efficacy of FIT to improve health status in African American adolescents with obesity (AAAO) and their primary caregivers on primary (percent body fat) and secondary (physical activity, metabolic control, weight loss) outcomes and its cost-effectiveness.

METHODS: 180 youth/caregiver dyads are randomised into FIT or HBFS, stratified by age, gender and baseline …

Patient And Dentist Perspectives On Collecting Patient Reported Outcomes After Painful Dental Procedures In The National Dental Pbrn, Elsbeth Kalenderian, Sayali Tungare, Urvi Mehta, Sharmeen Hamid, Rahma Mungia, Alfa-Ibrahim Yansane, David Holmes, Kim Funkhouser, Ana M Ibarra-Noriega, Janelle Urata, D Brad Rindal, Heiko Spallek, Joel White, Muhammad F Walji

Faculty, Staff and Student Publications

BACKGROUND: Dental Patient Reported Outcomes (PROs) relate to a dental patient's subjective experience of their oral health. How practitioners and patients value PROs influences their successful use in practice.

METHODS: Semi-structured interviews were conducted with 22 practitioners and 32 patients who provided feedback on using a mobile health (mHealth) platform to collect the pain experience after dental procedures. A themes analysis was conducted to identify implementation barriers and facilitators.

RESULTS: Five themes were uncovered: (1) Sense of Better Care. (2) Tailored Follow-up based on the dental procedure and patient's pain experience. (3) Effective Messaging and Alerts. (4) Usable Digital Platform. …

The Hsp90-Myc-Cdk9 Network Drives Therapeutic Resistance In Mantle Cell Lymphoma, Fangfang Yan, Vivian Jiang, Alexa Jordan, Yuxuan Che, Yang Liu, Qingsong Cai, Yu Xue, Yijing Li, Joseph Mcintosh, Zhihong Chen, Jovanny Vargas, Lei Nie, Yixin Yao, Heng-Huan Lee, Wei Wang, Johnnelson R Bigcal, Maria Badillo, Jitendra Meena, Christopher Flowers, Jia Zhou, Zhongming Zhao, Lukas M Simon, Michael Wang

Faculty, Staff and Student Publications

Brexucabtagene autoleucel CAR-T therapy is highly efficacious in overcoming resistance to Bruton's tyrosine kinase inhibitors (BTKi) in mantle cell lymphoma. However, many patients relapse post CAR-T therapy with dismal outcomes. To dissect the underlying mechanisms of sequential resistance to BTKi and CAR-T therapy, we performed single-cell RNA sequencing analysis for 66 samples from 25 patients treated with BTKi and/or CAR-T therapy and conducted in-depth bioinformatics™ analysis. Our analysis revealed that MYC activity progressively increased with sequential resistance. HSP90AB1 (Heat shock protein 90 alpha family class B member 1), a MYC target, was identified as early driver of CAR-T resistance. CDK9 …

Longitudinal Single-Cell Transcriptional Dynamics Throughout Neurodegeneration In Sca1, Leon Tejwani, Neal G Ravindra, Changwoo Lee, Yubao Cheng, Billy Nguyen, Kimberly Luttik, Luhan Ni, Shupei Zhang, Logan M Morrison, John Gionco, Yangfei Xiang, Jennifer Yoon, Hannah Ro, Fatema Haidery, Rosalie M Grijalva, Eunwoo Bae, Kristen Kim, Regina T Martuscello, Harry T Orr, Huda Y Zoghbi, Hayley S Mcloughlin, Laura P W Ranum, Vikram G Shakkottai, Phyllis L Faust, Siyuan Wang, David Van Dijk, Janghoo Lim

Duncan NRI Faculty and Staff Publications

Neurodegeneration is a protracted process involving progressive changes in myriad cell types that ultimately results in the death of vulnerable neuronal populations. To dissect how individual cell types within a heterogeneous tissue contribute to the pathogenesis and progression of a neurodegenerative disorder, we performed longitudinal single-nucleus RNA sequencing of mouse and human spinocerebellar ataxia type 1 (SCA1) cerebellar tissue, establishing continuous dynamic trajectories of each cell population. Importantly, we defined the precise transcriptional changes that precede loss of Purkinje cells and, for the first time, identified robust early transcriptional dysregulation in unipolar brush cells and oligodendroglia. Finally, we applied a …

New Sepsis Diagnostics And Their Impacts On Clinical Decision-Making And Treatment Protocols, Allison B Chambliss, Sridevi Devaraj, Jeremiah S Hinson, Sophie E Katz, Russell B Kerbel, Nathan A Ledeboer

Faculty, Staff and Students Publications

No abstract provided.

Dynamic Prognosis Prediction For Patients On Dapt After Drug-Eluting Stent Implantation: Model Development And Validation, Fang Li, Laila Rasmy, Yang Xiang, Jingna Feng, Ahmed Abdelhameed, Xinyue Hu, Zenan Sun, David Aguilar, Abhijeet Dhoble, Jingcheng Du, Qing Wang, Shuteng Niu, Yifang Dang, Xinyuan Zhang, Ziqian Xie, Yi Nian, Jianping He, Yujia Zhou, Jianfu Li, Mattia Prosperi, Jiang Bian, Degui Zhi, Cui Tao

Faculty, Staff and Student Publications

BACKGROUND: The rapid evolution of artificial intelligence (AI) in conjunction with recent updates in dual antiplatelet therapy (DAPT) management guidelines emphasizes the necessity for innovative models to predict ischemic or bleeding events after drug-eluting stent implantation. Leveraging AI for dynamic prediction has the potential to revolutionize risk stratification and provide personalized decision support for DAPT management.

METHODS AND RESULTS: We developed and validated a new AI-based pipeline using retrospective data of drug-eluting stent-treated patients, sourced from the Cerner Health Facts data set (n=98 236) and Optum's de-identified Clinformatics Data Mart Database (n=9978). The 36 months following drug-eluting stent implantation were …

Real-World Trends, Rural-Urban Differences, And Socioeconomic Disparities In Utilization Of Narrow Versus Broad Next-Generation Sequencing Panels, Yiqing Zhao, Anastasios Dimou, Zachary C Fogarty, Jun Jiang, Hongfang Liu, William B Wong, Chen Wang

Faculty, Staff and Student Publications

UNLABELLED: Advances in genetic technology have led to the increasing use of genomic panels in precision oncology practice, with panels ranging from a couple to hundreds of genes. However, the clinical utilization and utility of oncology genomic panels, especially among vulnerable populations, is unclear. We examined the association of panel size with socioeconomic status and clinical trial matching. We retrospectively identified 9,886 eligible adult subjects in the Mayo Clinic Health System who underwent genomic testing between January 1, 2016 and June 30, 2020. Patient data were retrieved from structured and unstructured data sources of institutional collections, including cancer registries, clinical …

Identification Of New Egfr Inhibitors By Structure-Based Virtual Screening And Biological Evaluation, Shuyi Wang, Xiaotian Xu, Chuxin Pan, Qian Guo, Qinlan Li, Shanhe Wan, Zhonghuang Li, Jiajie Zhang, Xiaoyun Wu

Faculty, Staff and Student Publications

Epidermal growth factor receptor (EGFR) inhibitors have been used in clinical for the treatment of non-small-cell lung cancer for years. However, the emergence of drug resistance continues to be a major problem. To identify potential inhibitors, molecular docking-based virtual screening was conducted on ChemDiv and Enamine commercial databases using the Glide program. After multi-step VS and visual inspection, a total of 23 compounds with novel and varied structures were selected, and the predicted ADMET properties were within the satisfactory range. Further molecular dynamics simulations revealed that the reprehensive compound ZINC49691377 formed a stable complex with the allosteric pocket of EGFR …

Aneuploidy And Complex Genomic Rearrangements In Cancer Evolution, Toby M Baker, Sara Waise, Maxime Tarabichi, Peter Van Loo

Faculty, Staff and Student Publications

Mutational processes that alter large genomic regions occur frequently in developing tumors. They range from simple copy number gains and losses to the shattering and reassembly of entire chromosomes. These catastrophic events, such as chromothripsis, chromoplexy and the formation of extrachromosomal DNA, affect the expression of many genes and therefore have a substantial effect on the fitness of the cells in which they arise. In this review, we cover large genomic alterations, the mechanisms that cause them and their effect on tumor development and evolution.

Circulating Tumor Dna And Radiological Tumor Volume Identify Patients At Risk For Relapse With Resected, Early-Stage Non-Small-Cell Lung Cancer, H T Tran, S Heeke, S Sujit, N Vokes, J Zhang, M Aminu, V K Lam, A Vaporciyan, S G Swisher, M C B Godoy, T Cascone, B Sepesi, D L Gibbons, J Wu, J V Heymach

Faculty, Staff and Student Publications

Background: Predicting relapse and overall survival (OS) in early-stage non-small-cell lung cancer (NSCLC) patients remains challenging. Therefore, we hypothesized that detection of circulating tumor DNA (ctDNA) can identify patients with increased risk of relapse and that integrating radiological tumor volume measurement along with ctDNA detectability improves prediction of outcome.

Patients and methods: We analyzed 366 serial plasma samples from 85 patients who underwent surgical resections and assessed ctDNA using a next-generation sequencing liquid biopsy assay, and measured tumor volume using a computed tomography-based three-dimensional annotation.

Results: Our results showed that patients with detectable ctDNA at baseline or after treatment and …

Girth-Based Administered Activity For Pediatric 99mtc-Dmsa Spect, Ye Li, Justin L Brown, Jingyan Xu, Junyu Chen, Michael Ghaly, Monet Dugan, Xinhua Cao, Yong Du, Frederic H Fahey, Wesley Bolch, George Sgouros, Eric C Frey

Faculty, Staff and Student Publications

Background: Pediatric molecular imaging requires a balance between administering an activity that will yield sufficient diagnostic image quality while maintaining patient radiation exposure at acceptable levels. In current clinical practice, this balance is arrived at by the current North American Consensus Guidelines in which patient weight is used to recommend the administered activity (AA).

Purpose: We have previously demonstrated that girth (waist circumference at the level of the kidneys) is better at equalizing image quality than patient weight for pediatric Tc-99m DMSA renal function imaging. However, the correlation between image quality (IQ), AA, and patient girth has not been rigorously …

Artificial Intelligence Model Predicts Sudden Cardiac Arrest Manifesting With Pulseless Electric Activity Versus Ventricular Fibrillation, Lauri Holmstrom, Bryan Bednarski, Harpriya Chugh, Habiba Aziz, Hoang Nhat Pham, Arayik Sargsyan, Audrey Uy-Evanado, Damini Dey, Angelo Salvucci, Jonathan Jui, Kyndaron Reinier, Piotr J Slomka, Sumeet S Chugh

Faculty, Staff and Student Publications

BACKGROUND: There is no specific treatment for sudden cardiac arrest (SCA) manifesting as pulseless electric activity (PEA) and survival rates are low; unlike ventricular fibrillation (VF), which is treatable by defibrillation. Development of novel treatments requires fundamental clinical studies, but access to the true initial rhythm has been a limiting factor.

METHODS: Using demographics and detailed clinical variables, we trained and tested an AI model (extreme gradient boosting) to differentiate PEA-SCA versus VF-SCA in a novel setting that provided the true initial rhythm. A subgroup of SCAs are witnessed by emergency medical services personnel, and because the response time is …

High-Dimensional Quantile Mediation Analysis With Application To A Birth Cohort Study Of Mother-Newborn Pairs, Haixiang Zhang, Xiumei Hong, Yinan Zheng, Lifang Hou, Cheng Zheng, Xiaobin Wang, Lei Liu

2020-Current year OA Pubs

MOTIVATION: There has been substantial recent interest in developing methodology for high-dimensional mediation analysis. Yet, the majority of mediation statistical methods lean heavily on mean regression, which limits their ability to fully capture the complex mediating effects across the outcome distribution. To bridge this gap, we propose a novel approach for selecting and testing mediators throughout the full range of the outcome distribution spectrum.

RESULTS: The proposed high-dimensional quantile mediation model provides a comprehensive insight into how potential mediators impact outcomes via their mediation pathways. This method's efficacy is demonstrated through extensive simulations. The study presents a real-world data application …

Circulating Immune Signatures Across Clinical Stages Of Chronic Pancreatitis: A Pilot Study, Rasmus Hagn-Meincke, Phil A Hart, Dana K Andersen, Santhi S Vege, Evan L Fogel, Jose Serrano, Melena D Bellin, Mark D Topazian, Darwin L Conwell, Liang Li, Stephen K Van Den Eeden, Asbjørn M Drewes, Stephen J Pandol, Chris E Forsmark, William E Fisher, Dhiraj Yadav, Søren S Olesen, Walter G Park, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Student Publications

Objective: This pilot study seeks to identify serum immune signatures across clinical stages of patients with chronic pancreatitis (CP).

Methods: We performed a cross-sectional analysis of prospectively collected serum samples from the PROspective Evaluation of Chronic Pancreatitis for EpidEmiologic and Translation StuDies-study. CP subjects were categorised into three clinical stages based on the presence/absence of metabolic complications: (1) CP with no diabetes and exocrine pancreatic dysfunction (EPD), (2) CP with either diabetes or EPD, and (3) CP with diabetes and EPD. Blinded samples were analysed using an 80-plex Luminex assay of cytokines/chemokines/adhesion molecules. Group and pairwise comparisons were performed to …

Circadian Immunity From Bench To Bedside: A Practical Guide, Huram Mok, Elaine Ostendorf, Alex Ganninger, Avi J. Adler, Guy Hazan, Jeffrey A. Haspel

2020-Current year OA Pubs

The immune system is built to counteract unpredictable threats, yet it relies on predictable cycles of activity to function properly. Daily rhythms in immune function are an expanding area of study, and many originate from a genetically based timekeeping mechanism known as the circadian clock. The challenge is how to harness these biological rhythms to improve medical interventions. Here, we review recent literature documenting how circadian clocks organize fundamental innate and adaptive immune activities, the immunologic consequences of circadian rhythm and sleep disruption, and persisting knowledge gaps in the field. We then consider the evidence linking circadian rhythms to vaccination, …

Safety, Immunogenicity, And Mechanism Of A Rotavirus Mrna-Lnp Vaccine In Mice, Chenxing Lu, Yan Li, Rong Chen, Xiaoqing Hu, Qingmei Leng, Xiaopeng Song, Xiaochen Lin, Jun Ye, Jinlan Wang, Jinmei Li, Lida Yao, Xianqiong Tang, Xiangjun Kuang, Guangming Zhang, Maosheng Sun, Yan Zhou, Hongjun Li

Faculty, Staff and Student Publications

Rotaviruses (RVs) are a major cause of diarrhea in young children worldwide. The currently available and licensed vaccines contain live attenuated RVs. Optimization of live attenuated RV vaccines or developing non-replicating RV (e.g., mRNA) vaccines is crucial for reducing the morbidity and mortality from RV infections. Herein, a nucleoside-modified mRNA vaccine encapsulated in lipid nanoparticles (LNP) and encoding the VP7 protein from the G1 type of RV was developed. The 5' untranslated region of an isolated human RV was utilized for the mRNA vaccine. After undergoing quality inspection, the VP7-mRNA vaccine was injected by subcutaneous or intramuscular routes into mice. …