Medicine and Health Sciences Commons^™

Positron Emission Tomography Reveals Increased Myocardial Glucose Uptake In A Subset Of Friedreich Ataxia Patients, R Mark Payne, Thomas M O'Connell, P Melanie Pride, Gregg R Wagner, George J Eckert, Tiffany R Johnson, Weinian Shou, Gary D Hutchins

Faculty, Staff and Student Publications

Why some but not all patients with the rare disease Friedreich ataxia (FRDA) are at increased risk of poor cardiovascular outcome and death is unclear and unpredictable. We investigated the hypothesis that mitochondrial dysfunction in FRDA leads to altered patterns of myocardial metabolic substrate utilization. We recruited 5 healthy controls (Ctl) and 11 FRDA participants. All underwent fasting myocardial positron emission tomography (PET scan) with 15O–H2O, 18F-FDG, and 11C-Palmitate. We conducted cardiac transcriptomics on mice with ablation of the Frda gene in heart to explore mechanisms of fuel substrate utilization. Five (45%) FRDA participants had an LV mass index (LVMi) …

Transdiagnostic Alterations In White Matter Microstructure Associated With Suicidal Thoughts And Behaviours In The Enigma Suicidal Thoughts And Behaviours Consortium, Laura S Van Velzen, Lejla Colic, Zuriel Ceja, Maria R Dauvermann, Luca M Villa, Hannah S Savage, Yara J Toenders, Niousha Dehestani, Alyssa H Zhu, Adrian I Campos, Lauren E Salminen, Martin Alda, Ingrid Agartz, Nina Alexander, Rosa Ayesa-Arriola, Elizabeth D Ballard, Nerisa Banaj, Carlotta Barkhau, Zeynep Başgöze, Jochen Bauer, Francesco Benedetti, Klaus Berger, Bianca Besteher, Katharina Brosch, Manuel Canal-Rivero, Simon Cervenka, Romain Colle, Colm G Connolly, Emmanuelle Corruble, Philippe Courtet, Baptiste Couvy-Duchesne, Benedicto Crespo-Facorro, Kathryn R Cullen, Udo Dannlowski, Jeremy Deverdun, Ana M Diaz-Zuluaga, Lorielle M F Dietze, Jennifer W Evans, Negar Fani, Kira Flinkenflügel, Naomi P Friedman, Ian H Gotlib, Nynke A Groenewold, Dominik Grotegerd, Tomas Hajek, Alexander S Hatoum, Marco Hermesdorf, Ian B Hickie, Yoshiyuki Hirano, Tiffany C Ho, Yuki Ikemizu, Frank Iorfino, Jonathan C Ipser, Yuko Isobe, Andrea P Jackowski, Fabrice Jollant, Tilo Kircher, Melissa Klug, Sheri-Michelle Koopowitz, Anna Kraus, Axel Krug, Emmanuelle Le Bars, Elisabeth J Leehr, Meng Li, Elizabeth T C Lippard, Carlos Lopez-Jaramillo, Ivan I Maximov, Andrew M Mcintosh, Katie A Mclaughlin, Sean R Mcwhinney, Susanne Meinert, Elisa Melloni, Philip B Mitchell, Benson Mwangi, Igor Nenadić, Stener Nerland, Emilie Olie, Victor Ortiz-García De La Foz, Pedro M Pan, Fabricio Pereira, Fabrizio Piras, Federica Piras, Sara Poletti, Andrew E Reineberg, Gloria Roberts, Rafael Romero-García, Matthew D Sacchet, Giovanni A Salum, Anca-Larisa Sandu, Carl M Sellgren, Eiji Shimizu, Harry R Smolker, Jair C Soares, J Douglas Steele, Frederike Stein, Dan J Stein, Benjamin Straube, Lea Teutenberg, Florian Thomas-Odenthal, Paula Usemann, Romain Valabregue, Johanna Valencia-Echeverry, Gerd Wagner, Gordon Waiter, Martin Walter, Heather C Whalley, Mon-Ju Wu, Tony T Yang, Carlos A Zarate, Andre Zugman, Giovana B Zunta-Soares, Kees Van Heeringen, Sanne J H Van Rooij, Nic Van Der Wee, Steven Van Der Werff, Paul M Thompson, Hilary P Blumberg, Anne-Laura Van Harmelen, Miguel E Rentería, Neda Jahanshad, Enigma Suicidal Thoughts And Behaviours Consortium, Lianne Schmaal

Faculty, Staff and Student Publications

Previous studies have suggested that alterations in white matter (WM) microstructure are implicated in suicidal thoughts and behaviours (STBs). However, findings of diffusion tensor imaging (DTI) studies have been inconsistent. In this large-scale mega-analysis conducted by the ENIGMA Suicidal Thoughts and Behaviours (ENIGMA-STB) consortium, we examined WM alterations associated with STBs. Data processing was standardised across sites, and resulting WM microstructure measures (fractional anisotropy (FA), axial diffusivity (AD), mean diffusivity and radial diffusivity) for 24 WM tracts and one global measure were pooled across 40 cohorts. We compared these measures among individuals with a psychiatric diagnosis and lifetime history of …

Distinct Spatiotemporal Patterns Of White Matter Hyperintensity Progression, Jinyong Chung, Gilsoon Park, Wi-Sun Ryu, Dawid Schellingerhout, Hang-Rai Kim, Dong-Seok Gwak, Elizabeth Haddad, Neda Jahanshad, Beom Joon Kim, Keun-Sik Hong, Hyerin Oh, Sang-Wuk Jeong, Joon-Tae Kim, Man Seok Park, Kang-Ho Choi, Kyungbok Lee, Tai Hwan Park, Sang-Soon Park, Jong-Moo Park, Kyusik Kang, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae Guk Kim, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Moon-Ku Han, Yong-Jin Cho, Byung-Chul Lee, Philip M Bath, Joanna M Wardlaw, Hee-Joon Bae, Hosung Kim, Dong-Eog Kim

Faculty, Staff and Student Publications

White matter hyperintensity, a key imaging biomarker for brain health, has prognostic implications for stroke. Using a multicenter MRI dataset of 9179 stroke patients plus the UK Biobank (n = 36,210 low/high risk controls), we employ Subtype and Stage Inference modeling and identify three distinct white matter hyperintensity progression subtypes: fronto-parietal, radial, and temporo-occipital. Longitudinal validation confirms classification stability. The fronto-parietal subtype shows delayed onset and more hypertension, while the temporo-occipital subtype has more atrial fibrillation and coronary heart disease. The fronto-parietal and radial subtypes are linked to small vessel stroke, while the temporo-occipital subtype is linked to cardioembolism. The …

Leptin As A Key Driver For Organ Fibrogenesis, Xue-Nan Sun, Shiuhwei Chen, Shangang Zhao, Jan-Bernd Funcke, Megan Virostek, Line Pedersen, Chao Li, Chanmin Joung, Qian Lin, Yan Li, Ayanna Cobb, May-Yun Wang, Kyounghee Min, Lisandro Maya-Ramos, Giovanna Degasperi, Junquan Liu, Ningyan Zhang, Zhiqiang An, Diana R Tomchick, R Max Wynn, Da Young Oh, Philipp E Scherer

Faculty, Staff and Student Publications

Leptin, a hormone primarily secreted by adipocytes, regulates energy balance and systemic metabolism through its interaction with the leptin receptor (LEPR). Beyond these functions, leptin signaling has been implicated in the pathogenesis of tissue fibrosis. Here, we report the x-ray crystal structures of a leptin-neutralizing antibody (hLep3) in the unbound and leptin-bound states. The interaction of this antibody with leptin mimics the interaction of the LEPR with leptin, providing direct insights into the mechanism by which the antibody disrupts leptin signaling. We furthermore evaluate the therapeutic potential of neutralizing leptin with this antibody across distinct mouse models of fibrosis affecting …

Radiomics For Dynamic Lung Cancer Risk Prediction In Uspstf-Ineligible Patients, Morteza Salehjahromi, Hui Li, Eman Showkatian, Maliazurina B Saad, Mohamed Qayati, Sherif M Ismail, Sheeba J Sujit, Amgad Muneer, Muhammad Aminu, Lingzhi Hong, Xiaoyu Han, Simon Heeke, Tina Cascone, Xiuning Le, Natalie Vokes, Don L Gibbons, Iakovos Toumazis, Edwin J Ostrin, Mara B Antonoff, Ara A Vaporciyan, David Jaffray, Fernando U Kay, Brett W Carter, Carol C Wu, Myrna C B Godoy, J Jack Lee, David E Gerber, John V Heymach, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

Background: Non-smokers and individuals with minimal smoking history represent a significant proportion of lung cancer cases but are often overlooked in current risk assessment models. Pulmonary nodules are commonly detected incidentally-appearing in approximately 24-31% of all chest CT scans regardless of smoking status. However, most established risk models, such as the Brock model, were developed using cohorts heavily enriched with individuals who have substantial smoking histories. This limits their generalizability to non-smoking and light-smoking populations, highlighting the need for more inclusive and tailored risk prediction strategies. Purpose: We aimed to develop a longitudinal radiomics-based approach for lung cancer …

Relationship Between Smoking And Psychiatric And Somatic Comorbidities In Older Age Bipolar Disorder: Lien Entre Le Tabagisme Et Les Affections Psychiatriques Et Somatiques Concomitantes Chez Les Personnes Âgées Atteintes De Trouble Bipolaire, Molly Howland, Arushi Mahajan, Peijun Chen, Osvaldo Almeida, Kürşat Altınbaş, Hilary Blumberg, Annemiek Dols, Nicole Fiorelli, Orestes Forlenza, Beny Lafer, Andrew Olagunju, Melis Orhan, Soham Rej, Martha Sajatovic, Matthew Schurr, Christian Simhandl, Jair Soares, Ashley Sutherland, Shang-Ying Tsai, Sara Weisenbach, Joy Yala, Farren Briggs

Faculty, Staff and Student Publications

Objective

Smoking has been associated with psychiatric and somatic comorbidities in bipolar disorder (BD) populations. However, studies in older age BD (OABD) populations are sparse. We hypothesized that among individuals with OABD, current and former smokers would have worse psychiatric and somatic comorbidities parameters compared to never smokers.

Method

Our study used baseline cross-sectional data from 27 international studies reporting data on adults 50 years old and older (N = 984). Smoking status was categorized into current smokers, former smokers, and never smokers. The distribution of demographic and clinical variables was assessed. The associations between smoking status and the …

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 …

Lifestyle Data-Based Multiclass Obesity Prediction With Interpretable Ensemble Models Incorporating Shap And Lime Analysis, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Obesity is a major public health concern. Predicting obesity risk from lifestyle data can guide targeted interventions, but current models remain limited. This study first evaluates ensemble learning methods and then combines approaches to improve prediction accuracy and generalizability. Four ensemble techniques-boosting, bagging, stacking, and voting-were tested. Five boosting and five bagging models were constructed alongside voting and stacking models. Hyperparameter tuning optimized performance, and feature importance analysis guided potential feature elemination. In phase two, hybrid stacking and voting models integrated the best-performing boosting and bagging models to enhance predictive capability. Model robustness was ensured through k-fold cross-validation and statistical …

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 …

Inferred Global Dense Residue Transition Graphs From Primary Structure Sequences Enable Protein Interaction Prediction Via Directed Graph Convolutional Neural Networks, Islam A. Ebeid, Haoteng Tang, Pengfei Gu

Computer Science Faculty Publications

Introduction: Accurate prediction of protein-protein interactions (PPIs) is crucial for understanding cellular functions and advancing the development of drugs. While existing in-silico methods leverage direct sequence embeddings from Protein Language Models (PLMs) or apply Graph Neural Networks (GNNs) to 3D protein structures, the main focus of this study is to investigate less computationally intensive alternatives. This work introduces a novel framework for the downstream task of PPI prediction via link prediction.

Methods: We introduce a two-stage graph representation learning framework, ProtGram-DirectGCN. First, we developed ProtGram, a novel approach that models a protein's primary structure as a hierarchy of …

Review Of Diffusion Models And Its Applications In Biomedical Informatics, Jiawei Luo, Liren Yang, Yan Liu, Changbao Hu, Grant Wang, Yan Yang, Tie-Lin Yang, Xiaobo Zhou

Faculty, Staff and Student Publications

The diffusion model, a cutting-edge deep generative technique, is gaining traction in biomedical informatics, showcasing promising applications across various domains. This review presents an overview of the working principles, categories, and numerous applications of diffusion models in biomedical research. In medical imaging, these models, through frameworks like Denoising Diffusion Probabilistic Models (DDPMs) and Stochastic Differential Equations (SDE), offer advanced solutions for image generation, reconstruction, segmentation, and denoising. Notably, they’ve been employed in synthesizing 2D/3D medical images, MRI, and PET image reconstruction, and segmentation tasks such as labeled MRI generation. In the realm of structured Electronic Health Records (EHR) data, diffusion …

A Standard-Based Taxonomy Of Features That Affect User Response To Clinical Decision Support Alerts, Siru Liu, Allison B Mccoy, Dean F Sittig, Josh F Peterson, Thomas A Lasko, Adam Wright

Faculty, Staff and Student Publications

Objective: The objective of this work is to develop a standard-based taxonomy of features that might affect user response to alerts using evidence from literature and public alert logic repositories.

Methods: We developed a taxonomy of features using multiple sources: (1) the Agency for Healthcare Research and Quality (AHRQ) CDS Connect Repository, (2) alert logic from commercial electronic health record (EHR) customers, and (3) published literature. Three categories (patient, provider, environment/context) were used a priori to develop the taxonomy. The final taxonomy was mapped to the Fast Healthcare Interoperability Resources (FHIR) standard for development of standardized CDS services.

Results: Aggregating …

Sexually Dimorphic Sail Feathers In The Mandarin Duck As A Model For Lifelong Developmental Modulation, Pin-Chi Tang, Hsu-Chen Cheng, Gee-Way Lin, Yung-Chih Lai, Ya-Chen Liang, Ping Wu, Tzu-Chiao Lin, Chen Siang Ng, Isheng Jason Tsai, Ang Li, Wen Hsiung Li, Chih-Feng Chen, Cheng-Ming Chuong, Randall Widelitz

Faculty, Staff and Student Publications

Developmental processes extend beyond embryogenesis to support lifelong tissue adaptations. Avian feather follicles, with their resident stem cells and capacity for cyclic regeneration, provide a dynamic model for postnatal tissue remodeling. Here, we propose the Mandarin duck (Aix galericulata) as an ideal model to study lifelong developmental modulation, focusing on the sexually dimorphic "sail feather"-a secondary flight feather in males that undergoes seasonal transformation into a strikingly asymmetric, ornamented phenotype during the breeding season. We identified asymmetric morphogen expression in regenerating male sail feathers and used transcriptome and H3K27ac ChIP-seq to uncover male and female signaling pathways and regulatory elements. …

Influences On Emergency Clinician Use Of Health Information Exchange: Interview Study, Brian E. Dixon, Umesh Ghimire, Benjamin Richter, Corinne Bowditch, Saurabh Rahurkar, John T. Finnell, Joshua R. Vest

Division of Internal Medicine Faculty Papers & Presentations

BACKGROUND: Health information exchange (HIE) supports clinical decision-making in emergency medicine settings. Despite evidence and policies that encourage the adoption of HIE, use by clinicians is limited. Moreover, few studies examine HIE use years after adoption by hospitals or clinics.

OBJECTIVE: This study aims to examine the perceptions and use of a mature, operational HIE system by emergency department clinicians years after its implementation.

METHODS: We interviewed 21 clinicians in various roles (eg, attending physician and nurse practitioner) across multiple health systems that participate in a statewide HIE network. We asked questions about their use of the HIE system and …

Insights, Opportunities, And Challenges Provided By Large Cell Atlases, Martin Hemberg, Federico Marini, Shila Ghazanfar, Ahmad Al Ajami, Najla Abassi, Benedict Anchang, Bérénice A Benayoun, Yue Cao, Ken Chen, Yesid Cuesta-Astroz, Zachary Debruine, Calliope A Dendrou, Iwijn De Vlaminck, Katharina Imkeller, Ilya Korsunsky, Alex R Lederer, Jessica Jingyi Li, Pieter Meysman, Clint L Miller, Kerry A Mullan, Uwe Ohler, Pratibha Panwar, Nikolaos Patikas, Jonas Schuck, Jacqueline H Y Siu, Timothy J Triche, Alex Tsankov, Sander W Van Der Laan, Masanao Yajima, Jean Yang, Fabio Zanini, Ivana Jelic

Faculty, Staff and Student Publications

The field of single-cell biology is growing rapidly, generating large amounts of data from a variety of species, disease conditions, tissues, and organs. Coordinated efforts such as CZI CELLxGENE, HuBMAP, Broad Institute Single Cell Portal, and DISCO allow researchers to access large volumes of curated datasets, including more than just scRNA-seq data. These resources have created an opportunity to build and expand the computational biology ecosystem to develop tools necessary for data reuse and for extracting novel biological insights. We highlight achievements made so far, areas where further development is needed, and specific challenges that need to be overcome.

Intracellular Lactate Dynamics In Drosophila Neurons, Matthew S Price, Elham Rastegari, Richa Gupta, Katie Vo, Travis I Moore, Kartik Venkatachalam

Faculty, Staff and Student Publications

Rates of lactate production and consumption reflect the metabolic state of many cell types, including neurons. Here, we investigated the effects of nutrient deprivation on lactate dynamics in Drosophila neurons by leveraging the limiting effects of the unstirred layer, a diffusion barrier that forms around cells in culture. We found that neurons constitutively consume lactate when the availability of trehalose, a glucose disaccharide preferred by insects, is limited by the unstirred layer. Acute mechanical disruption of the unstirred layer reduced this reliance on lactate. Through kinetic modeling and experimental validation, we demonstrate that neuronal lactate consumption rates under unstirred layer …

Nucleotide Motif-Guided Selection Of Plasma Microrna Biomarkers In Trauma, Boyang Ren, Ruoxing Li, Chien-Yu Lin, Chanhee Park, Sheng Wang, Andrew O Suen, John Kessler, Shiming Yang, Rosemary Kozar, Lin Zou, Brittney Williams, Ziyi Li, Peter Hu, Wei Chao

Faculty, Staff and Student Publications

Trauma remains a leading cause of morbidity and mortality in part due to complex pathophysiological responses. Yet our abilities to predict these changes are limited. Plasma miRNAs have been proposed as DAMPs that drive immune response and organ injury. Here, we test a panel of plasma miRNAs-selected based on next-generation sequencing and nucleotide motifs identified via a machine-learning algorithm-for their abilities to predict subclinical pathophysiological injuries. We find marked and severity-dependent increases in the miRNA biomarkers following trauma, which are closely associated with various injury markers. AUROC indicates that these biomarkers possess strong diagnostic and predictive abilities in overall trauma …

Visualization Of Lysosomal Membrane Proteins By Cryo Electron Tomography, Bridget M Mcveigh, José J De Jesús-Pérez, Dirk H Siepe, Prerana Gogoi, Shrawan Kumar Mageswaran, Marian Kalocsay, Elaine M Mihelc, Vera Y Moiseenkova-Bell

Faculty, Staff and Student Publications

Lysosomes are essential organelles for cellular homeostasis and signaling, with dysfunction linked to neurological disorders, lysosomal storage diseases, and cancer. While proteomics has advanced our understanding of lysosomal composition, the structural characterization of lysosomal membrane proteins in their native environment remains a significant challenge. Here, we developed a cryo electron tomography workflow to visualize lysosomal membrane proteins within intact, native lysosomal membranes. We isolated endolysosomes by independently targeting two lysosomal membrane proteins, transient receptor potential mucolipin 1 and transmembrane protein 192, enriching organelles that exhibited the expected morphology and proteomic composition of the endolysosomal system. Sub-tomogram averaging enabled the structural …

Protocol For Isolating Patient-Derived Ascites Cells And Extracellular Vesicles From Gastric Cancer Peritoneal Metastases, Yibo Fan, Jody V Vykoukal, Shumei Song, Melissa Pool Pizzi, Gengyi Zou, Katsuhiro Yoshimura, Jiankang Jin, Hiroyuki Katayama, George A Calin, Rebecca E Waters, Qiong Gan, Linghua Wang, Samir Hanash, Shilpa S Dhar, Jaffer A Ajani

Faculty, Staff and Student Publications

Peritoneal carcinomatosis (PC) cells and extracellular vesicles (EVs) from gastric cancer ascites are valuable for studying tumor-stroma interactions. Here, we present a protocol for isolating PC cells and EVs from patient ascites. We describe steps for PC cell culture, iodixanol-based EV purification, electron microscopy, nanoparticle tracking analysis, flow cytometry, and proteomic profiling. This protocol also includes TD-139 loading into exosomes for functional assays to evaluate their role in modulating the tumor microenvironment. For complete details on the use and execution of this protocol, please refer to Fan et al.

Equal Survival For Black Americans With Multiple Myeloma When Appropriately Matched To White Americans, David E Mery, Guido Tricot, Samer Al Hadidi, Yihao Zhan, Cody Ashby, Clyde Bailey, Eric R Siegel, Daisy V Alapat, Hongwei Xu, Sandra Mattox, Caroline Schinke, Maurizio Zangari, Sharmilan Thanendrarajan, Qing Yi, Robert Z Orlowski, Frits Van Rhee, John D Shaughnessy, Fenghuang Zhan

Faculty, Staff and Student Publications

No abstract provided.

Genetic Determinants And Genomic Consequences Of Non-Leukemogenic Somatic Point Mutations, Joshua S Weinstock, Sharjeel A Chaudhry, Maria Ioannou, Maria Viskadourou, Paula Reventun, Yasminka A Jakubek, L Alexander Liggett, Cecelia Laurie, Jai G Broome, Alyna Khan, Kent D Taylor, Xiuqing Guo, Patricia A Peyser, Eric Boerwinkle, Nathalie Chami, Eimear E Kenny, Ruth J Loos, Bruce M Psaty, Russell P Tracy, Jennifer A Brody, Jeong H Yun, Michael H Cho, Ramachandran S Vasan, Sharon L Kardia, Jennifer A Smith, Laura M Raffield, Aurelian Bidulescu, Emily C O'Brien, Mariza De Andrade, Jerome I Rotter, Stephen S Rich, Russell P Tracy, Yii Der Ida Chen, C Charles Gu, Chao A Hsiung, Charles Kooperberg, Bernhard Haring, Rami Nassir, Rasika Mathias, Alex Reiner, Vijay G Sankaran, Charles J Lowenstein, Thomas W Blackwell, Goncalo R Abecasis, Albert V Smith, Hyun M Kang, Pradeep Natarajan, Siddhartha Jaiswal, Alexander Bick, Wendy S Post, Paul Scheet, Paul Auer, Theodoros Karantanos, Alexis Battle, Marios Arvanitis

Faculty, Staff and Students Publications

Clonal hematopoiesis (CH) is defined by the expansion of a lineage of genetically identical cells in blood. Genetic lesions that confer a fitness advantage, such as leukemogenic point mutations or mosaic chromosomal alterations (mCAs), are frequent mediators of CH. However, recent analyses of both single cell-derived colonies of hematopoietic cells and population sequencing cohorts have revealed CH frequently occurs in the absence of known driver genetic lesions. To characterize CH without known driver genetic lesions, we use 51,399 deeply sequenced whole genomes from the NHLBI TOPMed sequencing initiative to perform simultaneous germline and somatic mutation analyses among individuals without leukemogenic …

Large Language Models As Information Providers For Appropriate Antimicrobial Use: Computational Text Analysis And Expert-Rated Comparison Of Chatgpt, Claude And Gemini, Marcello Di Pumpo, Maria Rosaria Gualano, Danilo Buonsenso, Francesca Raffaelli, Daniele Donà, Vittorio Maio, Patrizia Laurenti, Walter Ricciardi, Leonardo Villani

College of Population Health Faculty Papers

OBJECTIVES: Antimicrobial resistance is a critical public health threat. Large language models (LLMs) show great capability for providing health information. This study evaluates the effectiveness of LLMs in providing information on antibiotic use and infection management.

METHODS: Using a mixed-method approach, responses to healthcare expert-designed scenarios from ChatGPT 3.5, ChatGPT 4.0, Claude 2.0 and Gemini 1.0, in both Italian and English, were analysed. Computational text analysis assessed readability, lexical diversity and sentiment, while content quality was assessed by three experts via DISCERN tool.

RESULTS: 16 scenarios were developed. A total of 101 outputs and 5454 Likert-scale (1-5) scores were obtained …

Introducing Mcodegpt As A Zero-Shot Information Extraction From Clinical Free Text Data Tool For Cancer Research, Kai Zhang, Tongtong Huang, Bradley A Malin, Travis Osterman, Qi Long, Xiaoqian Jiang

Faculty, Staff and Student Publications

Background: The vast amount of natural language clinical notes about patients with cancer presents a challenge for efficient information extraction, standardization, and structuring. Traditional NLP methods require extensive annotation by domain experts for each type of named entity and necessitate model training, highlighting the need for an efficient and accurate extraction method.

Methods: This study introduces a tool based on the Large Language Model (LLM) for zero-shot information extraction from cancer-related clinical notes into structured data aligned with the minimal Common Oncology Data Elements (mCODE™) structure. We utilize the zero-shot learning capabilities of LLMs for information extraction, eliminating the need …

Tng260 Is A Small-Molecule Corest Inhibitor That Sensitizes Stk11-Mutant Tumors To Anti-Pd-1 Immunotherapy, Leanne G Ahronian, Soumyadip Sahu, Minjie Zhang, Ayushi S Patel, Ke Geng, Reshmee Bhattacharya, Gerald S Falchook, Jonathan W Goldman, Alexander I Spira, Salman R Punekar, David R Spigel, Judy S Wang, Ferdinandos Skoulidis, Janaye Stephens, Mary Meynardie, Jaylen M Powell, Alfonso Lopez, Michela Ranieri, Magdalena A Ploszaj, Yi Jer Tan, Yeuan Ting Lee, Yi Yu, Jiehui Deng, Ting Chen, Patrick Mccarren, Alice Tsai, Suleman S Hussain, Brian Doyon, Kenjie Amemiya, Jacques Ermolieff, Preksha Shahagadkar, Nikitha M Das, Lauren R Flynn, Julie A Shields, Laney Danielczyk, Brian J Mcmillan, Andre Mignault, Samuel R Meier, Hsin-Jung Wu, David J Guerin, Douglas A Whittington, Chengyin Min, Iga Sienczylo, John P Maxwell, Heather J Dibenedetto, Hideo Watanabe, Brian B Haines, Alan Huang, Adam Crystal, Jannik N Andersen, Xinyuan Wu, Kwok-Kin Wong

Faculty, Staff and Student Publications

Patients with non–small cell lung cancer (NSCLC) with loss of the tumor suppressor gene STK11 are resistant to immune checkpoint therapies like anti–PD-1. In this study, we conducted an in vivo CRISPR screen that identified histone deacetylase 1 as a target to reverse anti–PD-1 resistance driven by loss of STK11 and developed TNG260, a potent small-molecule inhibitor of the CoREST complex with selectivity exceeding previously generated inhibitors in this class in preclinical studies. Treatment with TNG260 led to increased expression of immunomodulatory genes in STK11-deficient cancer cells. When combined with anti–PD-1, TNG260 induced immune-mediated stasis and/or regression in STK11 …

Preoperative Brain Mapping Predicts Language Outcomes After Eloquent Tumor Resection, Matthew T Muir, Kyle Noll, Sarah Prinsloo, Hayley Michener, Jeffrey I Traylor, Vinodh A Kumar, Chibawanye I Ene, Sherise Ferguson, Ho-Ling Liu, Jeffrey S Weinberg, Frederick Lang, Brian A Taylor, Stephanie J Forkel, Sujit S Prabhu

Faculty, Staff and Student Publications

When operating on gliomas near critical language regions, surgeons risk either leaving residual tumor or inducing permanent postoperative language deficits (PLDs). Despite the advent of intraoperative mapping techniques, subjective judgments frequently determine important surgical decisions. We aim to inform data-driven surgery by constructing a non-invasive mapping approach that quantitatively predicts the impact of individual surgical decisions on long-term language function. This study included 79 consecutive patients undergoing resection of language-eloquent gliomas. Patients underwent preoperative navigated transcranial magnetic stimulation (TMS) language mapping to identify language-positive sites ("TMS points") and their associated white matter tracts ("TMS tracts") as well as formal language …

Sub-Ciliary Localization Of Cep290 And Effects Of Its Loss In Mouse Photoreceptors During Development, Abigail R. Moye, Michael A. Robichaux, Melina A. Agosto, Alexandre P. Moulin, Alexandra Graff-Meyer, Carlo Rivolta, Theodore G. Wensel

Faculty, Staff and Students Publications

No abstract provided.

Landscape And Clinicopathologic Features Of Ras Pathway Mutations In Chronic Myelomonocytic Leukemia, Guillermo Montalban-Bravo, Sanam Loghavi, Ziyi Li, Kelly Chien, Rashmi Kanagal-Shamanna, Alex Bataller, Anuya Natu, Mark Gurney, Alexandre Bazinet, Danielle Hammond, Koji Sasaki, Gautam Borthakur, Mahesh Swaminathan, Courtney Dinardo, Tapan Kadia, Farhad Ravandi, Naval Daver, Nicholas Short, Naveen Pemmaraju, Ghayas Issa, Terra L Lasho, Christy M Finke, Aref Al-Kali, Clifford Csizmar, Hassan Alkhateeb, Naseema Gangat, Abhishek A Mangaonkar, Carlos Bueso-Ramos, Ayalew Tefferi, Hagop Kantarjian, Guillermo Garcia-Manero, Mrinal M Patnaik

Faculty, Staff and Student Publications

RAS pathway (RASp) mutations induce proliferative features, and promote transformation in chronic myelomonocytic leukemia (CMML). However, the unique clonal landscape and hierarchy of distinct RASp mutations remain unexplored. To characterize the landscape, architecture, and implications of unique RASp mutations in CMML, we evaluated a cohort of 814 patients with CMML. We identified 461 RASp mutations among 342 patients (42%). N/KRAS and CBL mutations were the most common, frequently involved the P-loop or RING domains, respectively, and frequently appeared as dominant events (63% and 65%, respectively). BRAF, NF1, and PTPN11 mutations spanned throughout the gene structure, and frequently appeared as subclonal …

Optimizing Genetic Ancestry Adjustment In Dna Methylation Studies: A Comparative Analysis Of Approaches, Kira D Höffler, Seyma Katrinli, Matthew W Halvorsen, Anne-Kristin Stavrum, Kevin S O'Connell, Alexey Shadrin, Srdjan Djurovic, Ole A Andreassen, James J Crowley, Jan Haavik, Kristen Hagen, Gerd Kvale, Kerry Ressler, Bjarne Hansen, Jair C Soares, Gabriel R Fries, Alicia K Smith, Stéphanie Le Hellard

Faculty, Staff and Student Publications

Background: Genetic ancestry is an important factor to account for in DNA methylation studies because genetic variation influences DNA methylation patterns. One approach uses principal components (PCs) calculated from CpG sites that overlap with common SNPs to adjust for ancestry when genotyping data is not available. However, this method does not remove technical and biological variations, such as sex and age, prior to calculating the PCs. The first PC is therefore often associated with factors other than ancestry.

Methods: We developed and adapted the adapted EpiAnceR+ approach, which includes (1) residualizing the CpG data overlapping with common SNPs for control …

Yx0798 Is A Highly Potent, Selective, And Orally Effective Cdk9 Inhibitor For Treating Aggressive Lymphoma, Vivian Jiang, Yu Xue, Hong Kim, Qingsong Cai, Tianci Zhang, Lei Nie, Joseph Mcintosh, Yang Liu, Haiying Chen, Jia Zhou, Michael Wang

Faculty, Staff and Student Publications

Nongenetic transcription evolution has been increasingly explored and recognized to drive tumor cell progression and therapeutic resistance. As the regulation hub of transcription machinery, cyclin-dependent kinase 9 (CDK9) is the gatekeeper of RNA polymerase II transcription, and CDK9 dysfunction results in transcriptomic reprogramming and tumor cell progression. We recently reported that the heat shock protein 90 (HSP90)-MYC-CDK9 network drives therapeutic resistance in mantle cell lymphoma (MCL) through transcriptomic reprogramming. We also showed that targeting CDK9 by AZD4573 and enitociclib is a safe and effective treatment in preclinical Mantle Cell Lymphoma (MCL) models, supporting CDK9 as a valid therapeutic target for …

Characterization Of Suspicious Prostate Lesions At Multiparametric Mri With Dynamic 68 Ga-Gozetotide Pet/Ct, Daniel Parrott, Qing Yuan, Daniella Pinho, Yin Xi, Daniel N Costa, Alberto Diaz De Leon, Marianna Dakanali, Xiankai Sun, Orhan K Oz, Spencer Bowen, Neil M Rofsky, Dana Mathews, Ivan Pedrosa

Faculty, Staff and Student Publications

Background: Prostate cancer (PCa) will affect approximately 12% of US men in their lifetime and remains the 2nd most common cause of cancer-specific death. However, there is a broad spectrum of severity of PCa; some require aggressive treatment and others can "watch-and-wait". Distinction of clinically significant prostate cancer (csPCa) from indolent PCA with current imaging methods remains challenging.

Objective: This study aims to evaluate dynamic prostate specific membrane antigen (PSMA) positron emission tomography (PET/CT) in the characterization of suspicious prostate lesions identified on multiparametric MRI (mpMRI).

Methods: Prospective study of biopsy-naïve patients with at least one Prostate Imaging and Reporting …