Digital Commons Network^™

Preclinical Fluorescence-Guided Imaging Leveraging Surrounding Sentinel Tumor Microenvironment Identifies High-Risk Premalignant Pancreatic Lesions, Shilpa Sharma, Xiaoxia Wen, Jianbo Wang, Beibei Huang, Denise A Hernandez, Cong-Dat Pham, Zhiwen Liu, Susanne Je-Han Lin, Aiko Yamaguchi, Dimitra K Georgiou, Ryan P Coll, H Charles Manning

Faculty, Staff and Student Publications

Purpose: Because surgery is the only potential cure for pancreatic cancer, high-risk premalignant pancreatic lesions often evade detection by palpation or white-light visualization, increasing the risk of recurrence. We asked whether near-infrared fluorescence imaging of tumor-associated inflammation could identify high-risk premalignant lesions, leveraging the tumor microenvironment as a sentinel of local disease and, thus, enhance surgery outcomes.

Experimental design: Fluorescence-guided surgery was performed on genetically engineered mice [Ptf1a-Cre; LSL-KrasG12D/+; Smad4flox/flox (KSC)] at discrete stages of disease progression, histologically confirmed high-risk, premalignant lesions in postnatal mice to locally advanced pancreatic tumors in adults, using the imaging agent V-1520, a translocator protein …

A Multiomics Recovery Factor Predicts Long Covid In The Impacc Study, Gisela Gabernet, Jessica Maciuch, Jeremy P Gygi, John F Moore, Annmarie Hoch, Caitlin Syphurs, Tianyi Chu, Naresh Doni Jayavelu, David B Corry, Farrah Kheradmand, Lindsey R Baden, Rafick-Pierre Sekaly, Grace A Mccomsey, Elias K Haddad, Charles B Cairns, Nadine Rouphael, Ana Fernandez-Sesma, Viviana Simon, Jordan P Metcalf, Nelson I Agudelo Higuita, Catherine L Hough, William B Messer, Mark M Davis, Kari C Nadeau, Bali Pulendran, Monica Kraft, Chris Bime, Elaine F Reed, Joanna Schaenman, David J Erle, Carolyn S Calfee, Mark A Atkinson, Scott C Brakenridge, Esther Melamed, Albert C Shaw, David A Hafler, Alison D Augustine, Patrice M Becker, Al Ozonoff, Steven E Bosinger, Walter Eckalbar, Holden T Maecker, Seunghee Kim-Schulze, Hanno Steen, Florian Krammer, Kerstin Westendorf, Bjoern Peters, Slim Fourati, Matthew C Altman, Ofer Levy, Kinga K Smolen, Ruth R Montgomery, Joann Diray-Arce, Steven H Kleinstein, Leying Guan, Lauren Ir Ehrlich

Faculty, Staff and Students Publications

Background: Following SARS-CoV-2 infection, approximately 10%–35% of patients with COVID-19 experience long COVID (LC), in which debilitating symptoms persist for at least 3 months. Elucidating the biologic underpinnings of LC could identify therapeutic opportunities.

Methods: We utilized machine learning methods on biologic analytes provided over 12 months after hospital discharge from more than 500 patients with COVID-19 in the IMPACC cohort to identify a multiomics “recovery factor,” trained on patient-reported physical function survey scores. Immune profiling data included PBMC transcriptomics, serum O-link and plasma proteomics, plasma metabolomics, and blood mass cytometry by time of flight (CyTOF) protein levels. Recovery factor …

Therapeutic Radiation Drives Leptomeningeal Dissemination Of Medulloblastoma Through An Innate Immune Process, Carolina Nör, Kaitlin Kharas, Alex Rasnitsyn, Maria C Vladoiu, Nam Woo Cho, Jacob S Young, Felipe Nör, Ncedile Mankahla, Joonas Haapasalo, Kristiina Nordfors, Sara Rapic, Patryk Skowron, Raúl A Suárez, Alexander T Bahcheli, Oliver Ocsenas, Xin Chen, Shahrzad Bahrampour, Ali Momin, Lakshmikirupa Sundaresan, Winnie Ong, Liam D Hendrikse, Namal Abeysundara, Kyle Juraschka, Michelle Ly, Jonelle G Pallota, Tajana Douglas, Ning Huang, Hao Wang, Esta Mak, Lei Qin, Jessica Liu, Lily Shen, Betty Luu, Alex Manno, Sachin A Kumar, Laura K Donovan, Vernon Fong, Cory Richman, Craig Daniels, Livia Garzia, Jeremy N Rich, Cynthia Hawkins, Xiaochong Wu, Ralph Dacosta, Jüri Reimand, Xi Huang, Vijay Ramaswamy, David R Raleigh, Michael D Taylor

Faculty, Staff and Students Publications

Leptomeningeal metastases are the most important source of morbidity and mortality for medulloblastoma patients. Radiation of the entire brain is highly effective in the treatment and/or prevention of medulloblastoma leptomeningeal metastases. Infants treated on clinical trials with focal tumor radiation recur metastatically, whereas infants treated with only chemotherapy relapse locally. In murine medulloblastoma model systems, provision of a single dose of radiation to the tumor drives leptomeningeal dissemination. An inflammatory response after radiation-induced tumor cell death recruits a variety of immune cells. Inflammation opens the local blood-brain barrier, allowing intravasation of medulloblastoma cells. Experimental induction of inflammation with lipopolysaccharide drives …

Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, And Multi-Modal Learning, Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun, Yonghui Wu

Faculty, Staff and Student Publications

Objective: To advance biomedical vision language model capabilities through scaling up, fine-tuning, and instruction tuning, develop vision-language models with improved performance in handling long text, explore strategies to efficiently adopt vision language models for diverse multi-modal biomedical tasks, and examine the zero-shot learning performance.

Methods: We developed two biomedical vision language models, BiomedGPT-Large and BiomedGPT-XLarge, based on an encoder-decoder-based transformer architecture. We fine-tuned the two models on 23 benchmark datasets from 6 multi-modal biomedical tasks, including one image-only task (image classification), three language-only tasks (text understanding, text summarization, and question answering), and two vision-language tasks (visual question answering and image …

From Human To Mouse And Back Again: Genetic And Genomic Ta(I)Les Of Islet Dysfunction In Type 2 Diabetes., Romy Kursawe, Khushdeep Bandesh, Sai Nivedita Krishnan, Kevin S Liu, Redwan M Bhuiyan, Michael L. Stitzel

Faculty Research 2025

Type 2 diabetes (T2D) is a complex genetic disease with substantial environmental inputs leading to glucose homeostasis defects. Insulin production is central to proper glucose control, and islet cell dysfunction and death lie at the nexus of T2D genetics and pathophysiology. Comprehensive identification of genes and pathways contributing to these processes is essential for mechanistic understanding and therapeutic targeting. Here, we summarize the latest human and mouse T2D genetic and genomic studies and assess how these parallel variant-to-function efforts and associated data contribute convergent or complementary insights and new opportunities to dissect T2D islet (dys)function. We distill mechanistic and phenotypic …

Neurometabolic And Vascular Dysfunction As An Early Diagnostic For Alzheimer's Disease And Related Dementias., Juan Antonio K Chong Chie, Scott A Persohn, Ravi S Pandey, Gregory W. Carter, Olivia R Simcox, Paul Salama, Paul R Territo, The Alzheimer’S Disease Neuroimaging Initiative

Faculty Research 2025

INTRODUCTION: Recent studies suggest that the brain undergoes anatomical and functional restructuring, resulting in neurometabolic and vascular dysregulation (MVD) prior to amyloid beta accumulation, which begins at an early age and leads to the onset of Alzheimer's disease (AD).

METHODS: Using a retrospective clinical population (n = 403) from the Alzheimer's Disease Neuroimaging Initiative, cerebral perfusion and metabolism changes across 59 brain regions were evaluated from clinical studies. Results were verified by transcriptomic signatures and clinical cognitive assessments.

RESULTS: Our findings suggest that disease progression follows a stage-dependent MVD pattern that can identify at-risk regions. Although each region progresses at …

The Ecological Genome Project And The Promises Of Ecogenomics For Society: Realising A Shared Vision As One Health., Benjamin Capps, Ruth Chadwick, Yann Joly, Claire Lajaunie, Iva Hauptmannova, Susannah Mackenzie, John J Mulvihill, Elizabeth Mumford, Sonja A Rasmussen, Kunal Sanghavi, Donrich W Thaldar, James Yeates, Maud C Quinzin, Zohar Lederman

Faculty Research 2025

This paper develops a vision for The Ecological Genome Project: an aspirational, global endeavour to connect human genomic sciences with the ethos of ecological sciences. The Project's goal is to strengthen interdisciplinary networks that relate to diverse initiatives using genomic technologies, with respect to shared ethical frameworks and governance structures. To this end, this paper proposes a practical definition of ecogenomics to align various methodologies and values in a single environmental field using principles used to safeguard all forms of life in their habitats. We achieve this by using a One Health approach as a pretext for disparate disciplines to …

The Ecological Genome Project And The Promises Of Ecogenomics For Society: Realising A Shared Vision As One Health., Benjamin Capps, Ruth Chadwick, Yann Joly, Claire Lajaunie, Iva Hauptmannova, Susannah Mackenzie, John J Mulvihill, Elizabeth Mumford, Sonja A Rasmussen, Kunal Sanghavi, Donrich W Thaldar, James Yeates, Maud C Quinzin, Zohar Lederman

Faculty Research 2025

This paper develops a vision for The Ecological Genome Project: an aspirational, global endeavour to connect human genomic sciences with the ethos of ecological sciences. The Project's goal is to strengthen interdisciplinary networks that relate to diverse initiatives using genomic technologies, with respect to shared ethical frameworks and governance structures. To this end, this paper proposes a practical definition of ecogenomics to align various methodologies and values in a single environmental field using principles used to safeguard all forms of life in their habitats. We achieve this by using a One Health approach as a pretext for disparate disciplines to …

J. Robert Gladden Orthopaedic Society Research Grants: What Is The Return On Invesments, Lancelot Benn, Susan Stephens, Mark Ehioghae, Rishi Balkissoon, Brendan A. Williams, Shaina Lipa, David N. Bernstein, Gbolabo Sokunbi, Barrett I. Woods, Wakenda Tyler, Jaysson Brooks, Randall C. Morgan, Kwadwo Owusu-Akyaw, Wayne Johnson, Eric Carson, George V. Russell, Addisu Mesfin

Rothman Institute Papers

INTRODUCTION: The J. Robert Gladden Orthopaedic Society (JRGOS) aims to increase diversity in orthopaedic surgery and promote high-quality musculoskeletal care for all. Through targeted research funding, JRGOS supports projects aligned with its mission. Despite awarding over $300,000 in research grants since 2011, the return on investment (ROI) of this program has not been analyzed. This study evaluates the ROI of JRGOS research grants from 2011 to 2023.

METHODS: We conducted a retrospective review of all JRGOS research grants awarded between 2011 and 2023. Data included recipient demographics, grant titles, award year, institution, and amount. PubMed and Google Scholar were used …

Comparison Of Rule- And Large Language Model-Based Phenotype Extraction From Clinical Notes For Neurofibromatosis Type 1, Levi Kaster, Ethan Hillis, Inez Y Oh, Elizabeth C Cordell, Randi E Foraker, Albert M Lai, Stephanie M Morris, David H Gutmann, Philip R O Payne, Aditi Gupta

2020-Current year OA Pubs

INTRODUCTION: Neurofibromatosis type 1 (NF1) is a rare genetic disorder affecting multiple organ systems with significant clinical heterogeneity. Managing individuals with NF1 is challenging due to variability in disease progression and outcomes and limited early risk assessment tools.

OBJECTIVE: This study aims to develop an effective, generalizable, user-friendly clinical entity extraction pipeline for identifying NF1-related phenotypes from unstructured clinical notes to enhance research and risk-modeling efforts. We compare the benefits of rule-based natural language processing (NLP) vs large language models (LLMs) for this purpose.

MATERIALS AND METHODS: Four phenotype extraction pipelines (3 LLM-based vs 1 rule-based) were developed to automatically …

‘Earth System Engineers’ And The Cumulative Impact Of Organisms In Deep Time, Simon A. F. Darroch, Michelle M. Casey, Alison T. Cribb, Amanda E. Bates, Matthew E. Clapham, Dori L. Contreras, Matthew Craffey, Ivo A. P. Duijnstee, William Gearty, Nicholas J. Gotelli, Marcus J. Hamilton, Riley F. Hayes, Pincelli M. Hull, Daniel E. Ibarra, V. A. Korasidis, Jaemin Lee, Cindy V. Looy, Tyler R. Lyson, Benjamin Muddiman, Peter D. Roopnarine, Alex B. Shupinski, Felisa A. Smith, Alycia L. Stigall, Catalina P. Tomé, Katherine A. Turk, Amelia Villaseñor, Peter J. Wagner, Steve C. Wang, S. Kathleen Lyons

College of Life Sciences Faculty Papers

Understanding the role of humans as 'ecosystem engineers' requires a deep-time perspective rooted in evolutionary history and the fossil record. However, no conceptual framework exists for studying the rise of ecosystem engineering in deep time, requiring us to consider effects that fall outside the scope of traditional definitions. Here, we present a new framework applicable to both modern and ancient engineering-type effects. We propose a new term - 'Earth system engineering' - to describe biological processes that alter the structure and function of planetary spheres, and which combines core tenets of ecosystem engineering, niche construction, and legacy effects. We illustrate …

Molecular Mechanisms In Masld/Mash-Related Hcc, Xiaobo Wang, Liang Zhang, Bingning Dong

Faculty, Staff and Students Publications

Liver cancer is the third leading cause of cancer-related deaths and ranks as the sixth most prevalent cancer type globally. NAFLD or metabolic dysfunction-associated steatotic liver disease, and its more severe manifestation, NASH or metabolic dysfunction-associated steatohepatitis (MASH), pose a significant global health concern, affecting approximately 20%-25% of the population. The increased prevalence of metabolic dysfunction-associated steatotic liver disease and MASH is parallel to the increasing rates of obesity-associated metabolic diseases, including type 2 diabetes, insulin resistance, and fatty liver diseases. MASH can progress to MASH-related HCC (MASH-HCC) in about 2% of cases each year, influenced by various factors such …

Exploring The Future Of Occupational Safety Research: A Strategic Foresight Approach, Jessica M K Streit, Sarah A Felknor, Nicole T Edwards, John J Howard

Faculty, Staff and Student Publications

A team from the U.S. National Institute for Occupational Safety and Health conducted a strategic foresight project to explore the future of occupational safety research (OSR). Data collected via systematic horizon scanning and key informant interviews were synthesized into six drivers of OSR change: (1) technological advancement, (2) partnerships and public trust, (3) prioritizing research investments, (4) safety and health integration, (5) data and science quality, and (6) worker protections. These drivers served as the basis for envisioning four potential OSR futures. Analysis of the resulting scenarios identified opportunities to enhance and advance OSR methods and approaches, innovation, systems thinking, …

Estimating Daily Air Quality Exposure Of The Aging And Dementia Population, Wan-Tai Michael Au-Yeung, Moiz Usmani, Ryan Ramphul, Chao-Yi Wu, Hiroko Dodge, Joel Steele, Zachary Beattie, Jeffrey Kaye

Faculty, Staff and Student Publications

Background

To understand the effect of air quality on cognition, air quality measurements should reflect real-world exposure. Currently, air quality exposure is derived from outdoor air quality monitors despite older adults spending most of their time indoors.

Objective

To examine if there are discrepancies between indoor particulate matter 2.5 (PM2.5) at older adults’ personal residences, PM2.5 levels measured with nearest outdoor public air monitors, and remotely accessed gridded ensemble air quality data.

Methods

PM2.5 levels collected in older adults’ residences, collected from the nearest outdoor public air quality monitors and ensemble data from Hazardous Air Quality Ensemble System (HAQES) were …

Two Decades Of Diagnostic Safety Research: Advances, Challenges, And Next Steps, Sundas Khan, Andrea Bradford, Christina L Cifra, Hardeep Singh

Faculty, Staff and Students Publications

Since the National Academies of Sciences, Engineering, and Medicine (NASEM) report Improving Diagnosis in Health Care, various research efforts have accelerated progress to understand and improve diagnostic safety. In this opinion piece, we summarize two decades of progress in methods for identifying and learning from diagnostic errors and provide recommendations for future research. Multiple methods have been used to quantify diagnostic errors in various clinical settings, thereby facilitating a deeper understanding of the nature and magnitude of the problem and enabling studies of contributing factors. However, the use of standardized definitions of a diagnostic error and/or diagnostic safety event, …

Gregor: Accelerating Genomics For Rare Diseases, Moez Dawood, Ben Heavner, Marsha M Wheeler, Rachel A Ungar, Jonathan Lotempio, Laurens Wiel, Seth Berger, Jonathan A Bernstein, Jessica X Chong, Emmanuèle C Délot, Evan E Eichler, James R Lupski, Ali Shojaie, Michael E Talkowski, Alex H Wagner, Chia-Lin Wei, Christopher Wellington, Matthew T Wheeler, Gregor Partner Members, Claudia M B Carvalho, Richard A Gibbs, Casey A Gifford, Susanne May, Danny E Miller, Heidi L Rehm, Kaitlin E Samocha, Fritz J Sedlazeck, Eric Vilain, Anne O'Donnell-Luria, Jennifer E Posey, Lisa H Chadwick, Michael J Bamshad, Stephen B Montgomery, Genomics Research To Elucidate The Genetics Of Rare Diseases (Gregor) Consortium

Faculty, Staff and Students Publications

Rare diseases are collectively common, affecting approximately 1 in 20 individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in next-generation sequencing, development of new computational and functional genomics approaches to prioritize genes and variants and increased global sharing of clinical and genetic data. However, more than half of individuals suspected to have a rare disease lack a genetic diagnosis. The Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) Consortium was initiated to study thousands of challenging rare disease cases and families and apply, standardize and evaluate emerging genomics technologies …

Acute Kidney Injury Is Associated With Elevated Urinary Endotrophin, Amanda J Clark, Brenda Mendoza Flores, Marie Christelle Saade, Kyle Q Vu, Isaac J Pence, Ningyan Zhang, Zhiqiang An, Dawei Bu, Philipp E Scherer, Samir M Parikh

Faculty, Staff and Student Publications

Acute kidney injury (AKI) is prevalent among hospitalized patients. Novel biomarkers are needed to diagnose AKI and target therapies. Endotrophin (ETP) is a molecule released during collagen type VI formation that may promote injury and fibrosis. Although serum ETP elevation has been associated with adverse outcomes in AKI, urinary ETP has not been assessed in AKI, nor has ETP been evaluated in a pediatric population. Urine samples were collected from a tertiary children's hospital. Medical records were reviewed, and patients who met criteria were sorted into three categories:

Analysis Of Content Related To Retrograde Cricopharyngeal Dysfunction On Tiktok: Opportunities For Patient Education And Advocacy, Aidan Wright, Nathaniel Hunter, Vivian Jin, Andrew Tritter

Faculty, Staff and Student Publications

Objective: TikTok has experienced exponential growth as a social media platform, with over 1 billion active users. Concurrently, retrograde cricopharyngeal dysfunction (RCPD) has seen a surge in awareness among patients and on social media. Our objective was to characterize the most popular RCPD-related content on TikTok.

Methods: The top 50 videos associated with the following hashtags were analyzed: "RCPD," "noburp," "retrograde cricopharyngeal dysfunction," and "noburpsyndrome." Recorded metrics included views, likes, and comments, along with information regarding the creator's identity, gender, geographical location, and the video's purpose.

Results: One hundred and three videos were included in the final analysis, with a …

Priming With Transcutaneous Spinal Direct Current Stimulation Followed By Robotic Exoskeleton Gait Training In Individuals With Spinal Cord Injury: A Case Series, Marcie Kern, Catherine Velasquez-Ignacio, Taimoor Afzal, Shih-Chiao Tseng, Gerard E Francisco, Shuo-Hsiu Chang

Faculty, Staff and Student Publications

Objectives: To investigate the safety and feasibility of repeated transcutaneous spinal direct current stimulation (tsDCS) as priming strategy during exoskeleton-assisted locomotor training in individuals with SCI and evaluate potential neurophysiologic and functional gait changes.

Study design: Case series experimental design.

Setting: Research laboratory at a post-acute rehabilitation hospital.

Participants: Four participants with chronic incomplete SCI.

Interventions: Four participants with chronic incomplete SCI received three weeks of training consisting of two types of interventions after baseline (A): 20-minute tsDCS (anode or cathode) applied over the spinous processes of T10 followed by 20-minute exoskeleton-assisted locomotor training (B, B1, B2) and 20-minute exoskeleton-assisted …

Dysregulated Mitochondrial Energy Metabolism Drives The Progression Of Mucosal Field Effects To Invasive Bladder Cancer, Sangkyou Lee, Sung Yun Jung, Pawel Kuś, Jolanta Bondaruk, June Goo Lee, Roman Jaksik, Nagireddy Putluri, Khanh N Dinh, David Cogdell, Huiqin Chen, Yishan Wang, Jiansong Chen, Neema Navai, Colin Dinney, Cathy Mendelsohn, David Mcconkey, Richard R Behringer, Charles C Guo, Peng Wei, Marek Kimmel, Bogdan Czerniak

Faculty, Staff and Students Publications

Multiplatform mutational and gene expression profiling complemented with proteomic and metabolomic spatial mapping were used on the whole-organ scale to identify the molecular profile of bladder cancer evolution from field effects. Analysis of the mutational landscape identified three types of mutations, referred to as α, β, and γ. Time modeling of the mutations revealed that carcinogenesis may span 30 years and can be divided into dormant and progressive phases. The α mutations developed in the dormant phase. The progressive phase lasted 5 years and was signified by expanding β mutations, but it was driven to invasive cancer by γ mutations. …

Understanding The Effects Of Real-Time Head Position Feedback On Postural Sway In Terms Of Changes In Underlying Deterministic And Stochastic Dynamical Processes, Steven J. Harrison, Benjamin De Bari, Ryan Poutre, Jeffrey M. Kinsella-Shaw

College of Humanities and Sciences Faculty Papers

Our perceptual systems detect information about how our body is moving relative to the surrounding environment. Such information is essential to our ability to maintain upright standing balance. Real-time postural feedback systems are technologies that appear to enhance our ability to detect information about the movements of our body, and as a consequence improve our capacity to control the posture of our body. Here we examine a system in which real-time measurements of head position were "felt" as changes in the intensity of vibration of tactors in a headband. Using this system, participants were able to stabilize their body posture, …

Accessible, Realistic Genome Simulation With Selection Using Stdpopsim., Graham Gower, Nathaniel S Pope, Murillo F Rodrigues, Silas Tittes, Linh N Tran, Ornob Alam, Maria Izabel A Cavassim, Peter D Fields, Benjamin C Haller, Xin Huang, Ben Jeffrey, Kevin Korfmann, Christopher C Kyriazis, Jiseon Min, Inés Rebollo, Clara T Rehmann, Scott T Small, Chris C R Smith, Georgia Tsambos, Yan Wong, Yu Zhang, Christian D Huber, Gregor Gorjanc, Aaron P Ragsdale, Ilan Gronau, Ryan N Gutenkunst, Jerome Kelleher, Kirk E Lohmueller, Daniel R Schrider, Peter L Ralph, Andrew D Kern

Faculty Research 2025

Selection is a fundamental evolutionary force that shapes patterns of genetic variation across species. However, simulations incorporating realistic selection along heterogeneous genomes in complex demographic histories are challenging, limiting our ability to benchmark statistical methods aimed at detecting selection and to explore theoretical predictions. stdpopsim is a community-maintained simulation library that already provides an extensive catalog of species-specific population genetic models. Here, we present a major extension to the stdpopsim framework that enables simulation of various modes of selection, including background selection, selective sweeps, and arbitrary distributions of fitness effects (DFE) acting on annotated subsets of the genome (for instance, …

Short Term Hemodynamic Effects Of Atrial Fibrillation In A Closed-Loop Human Cardiac-Baroreflex System, Oluwasanmi Adeodu, Michelle Gee, Babak Mahmoudi, Rajanikanth Vadigepalli, Mayuresh V. Kothare

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Atrial fibrillation (AF) remains the leading cardiac cause of stroke and AF-related death rate in the United States has been increasing for over twenty years. While the effect of standalone AF on heart rate is well established, there is a lack of clarity on its impact on other critical hemodynamic metrics. This is ostensibly due to interaction with other common comorbidities, especially hypertension. In addition, AF has a complex relationship with the state of the baroreflex. Evidence indicates that baroreflex sensitivity (BRS), the ability of the intrinsic cardiac control system to initiate parasympathetic response, is suppressed during AF. Therefore, a …

Lorbin: Efficient Binning Of Long-Read Metagenomes By Multiscale Adaptive Clustering And Evaluation, Wei Xue, Zuo Liu, Yaozhong Zhang, Waseem Raza, Yarong Li, Li Jiang, Ye Tao, Jun Qian, Jousset Alexandre, Fang-Jie Zhao, Yangchun Xu, Fritz Sedlazeck, Qirong Shen, Gaofei Jiang, Zhong Wei

Faculty, Staff and Students Publications

Long-read sequencing has transformed metagenomics and improved the quality of metagenome-assembled genomes (MAGs). However, current binning methods struggle with identifying unknown species and managing imbalanced species distributions. Here, we present LorBin, an unsupervised binner specially designed to reconstruct MAGs in natural microbiomes. LorBin deploys a two-stage multiscale adaptive DBSCAN and BIRCH clustering with evaluation decision models using single-copy genes to maximize MAG recovery. LorBin outperforms six competing binners in both simulated and real microbiomes, including oral, gut, and marine samples. LorBin generated 15-189% more high-quality MAGs with high serendipity and identified 2.4-17 times more novel taxa than state-of-the-art binning methods. …

Mir147 Promotes Mucosal Integrity And Healing In Intestinal Inflammation, Agnieszka K Czopik, Arash Dabiri, Chia-Hao Tung, Victoria Vaughn, Xiangsheng Huang, Jinlian Wang, Hui Li, Nicolas F Moreno, Natalia V Piwko, Katherine Figarella, Hongfang Liu, Zhongming Zhao, Xiaoyi Yuan, Holger K Eltzschig

Faculty, Staff and Student Publications

The intestinal mucosal epithelium forms a barrier between luminal contents and the body. MicroRNAs (miRNAs) regulate mucosal homeostasis by controlling inflammatory responses and structural integrity. Here, we discovered a protective role for miR147 in intestinal inflammation using a miR147tdTomato reporter mouse. miR147 was enriched in the intestines, with the highest expression in the colonic epithelial cells at the luminal surface, with prominent expression in differentiated enterocytes. Mice with general or intestinal epithelial deletion of miR147 showed increased intestinal inflammation and diminished mucosal healing during colitis. RNA sequencing of miR147-deficient cells showed dysregulated immune signaling, with upregulated proinflammatory cytokine pathways and …

Increasing Opportunities For Community Input In Harm Reduction Program Development Using Iterative Engagement., Nicole M. Wagner, Jordan A. Carlson, Meagan Bean, Amy Wineland, Joshua Blum, Scott A. Cardona, Sheila Covarrubias, Allison Kempe, Abby C. King, Amy G. Huebschmann

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Incorporating people who use substances into a community-engaged research process can support the implementation and evaluation of evidence-based harm reduction programs. Attending to their voice ensures those who need these programs will use them. Yet, ongoing co-learning with people who use substances, often the ideal for community engaged research, poses a challenge for recruitment, ongoing participation, and obtaining diverse perspectives. We need novel strategies to support flexibility among populations experiencing legal and social instability so that community engaged work includes more diverse perspectives. In this paper, we describe a novel community engagement approach called Effective Adaptable and Sustainable in …

Enhancing Cyberattack Resiliency Through The Radiotherapy Backup And Recovery Dashboard Tool, Justin Pijanowski, Eric Nguyen, Yasin Abdulkadir, Justin Hink, Yevgeniy Vinogradskiy, James Lamb

Department of Radiation Oncology Faculty Papers

PURPOSE: Radiation Oncology departments impacted by recent cyberattacks were unable to access data backups or their Record and Verify (R&V) system and therefore faced challenges to resume patient treatments in a timely manner. We present a novel software tool that backs-up critical radiotherapy treatment information and displays essential information for on-treatment patients in an intuitive and accessible dashboard allowing clinics to continue radiotherapy treatments. The purpose of this report is to describe implementation details, challenges, and share open-source code to facilitate radiation oncology clinics' efforts to develop tools to improve cyberattack resiliency.

METHODS: The Radiotherapy Backup and Recovery Dashboard Tool …

Genome-Wide Association Study Of Childhood B-Cell Acute Lymphoblastic Leukemia Reveals Novel African Ancestry-Specific Susceptibility Loci, Cindy Im, Andrew R Raduski, Lauren J Mills, Kashi Raj Bhattarai, Robert J Mobley, Kelly R Barnett, Zhanni Lu, Kenneth Liao, Nathan Anderson, Rebecca A Johnson, Erica Langer, Anthony J Hooten, Alix E Seif, Kathrin M Bernt, Matthew Tsang, Brandon A Mamou, Luis Gil-De-Gómez, Julie A Wolfson, Danielle N Friedman, Neerav Shukla, Laura J Klesse, Erin L Marcotte, Lingyun Ji, Alice Dang, Minjie Luo, Yiming Zhong, Jalen Langie, Charleston W K Chiang, Adam De Smith, Joseph L Wiemels, Andrew Dewan, Xiaomei Ma, Catherine Metayer, Zhaoming Wang, Heather H Nelson, Nathan Pankratz, Tianzhong Yang, Saonli Basu, Lucie M Turcotte, Jun J Yang, Daniel Savic, Michael E Scheurer, Logan G Spector

Faculty, Staff and Students Publications

B-cell acute lymphoblastic leukemia (B-ALL) is the most common pediatric malignancy. Given racial/ethnic differences in incidence and outcomes, B-ALL genome-wide association studies among children of African ancestry are needed. Leveraging multi-institutional datasets with 840 African American children with B-ALL and 3360 controls, nine loci achieved genome-wide significance (P <  5 × 10−8) after meta-analysis. Two loci were established trans-ancestral susceptibility regions (IKZF1, ARID5B), while the remaining novel loci were specific to African populations. Five-year overall survival among children carrying novel risk alleles was significantly worse (83% versus 96% in non-carriers, P = 4.8 × 10−3). Novel risk variants were also associated with subtype-specific disease (P <  0.05), including higher susceptibility for a subtype overrepresented in African American children (TCF3-PBX1) and lower …

Ambient Trichloroethylene Exposure And Parkinson Disease Risk In Medicare Beneficiaries, Brittany Krzyzanowski, Kassu Mehari Beyene, Jay R. Turner, Brad A. Racette

2020-Current year OA Pubs

BACKGROUND AND OBJECTIVES: Trichloroethylene (TCE) is an important environmental contaminant in the United States due to widespread use industrially. Epidemiologic studies suggest that occupational exposure to TCE and TCE-contaminated drinking water may increase the risk of Parkinson disease (PD). The aim of this study was to investigate the nationwide relationship between ambient TCE and PD risk.

METHODS: We performed a nationwide, population-based, case-control study to investigate the association between incident PD in US Medicare beneficiaries aged 67 years and older in 2016-2018 and their residential exposure to ambient (outdoor) TCE in 2002. We assigned residence based on the latitude and …

A Knowledge-Driven Deep Learning Framework For Organoid Morphological Segmentation And Characterization, Yiming Qin, Jiajia Li, Yin Heng, Zheyuan Wang, Dezhi Wu, Mahi Rahman, Pengwei Hu, Tobias Plötz, Alexander Hopp, Nicholas Kurniawan, Mathias Winkel, Philipp Harbach, Chunling Tang, Feng Tan

Publications

BACKGROUND: Organoids have great potential to revolutionize various aspects of biomedical research and healthcare. Researchers typically use the fluorescence-based approach to analyse their dynamics, which requires specialized equipment and may interfere with their growth. Therefore, it is an open challenge to develop a general framework to analyse organoid dynamics under non-invasive and low-resource settings.

RESULTS: In this paper, we present a knowledge-driven deep learning system named TransOrga-plus to automatically analyse organoid dynamics in a non-invasive manner. Given a bright-field microscopic image, TransOrga-plus detects organoids through a multi-modal transformer-based segmentation module. To provide customized and robust organoid analysis, a biological knowledge-driven …