Digital Commons Network^™

Large Language Models For Bioinformatics, Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu

Faculty, Staff and Student Publications

With the rapid advancements in large language model technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications. This survey aims to address this need by providing a thorough review of BioLMs, focusing on their evolution, classification, and distinguishing features, alongside a detailed examination of training methodologies, datasets, and evaluation frameworks. We explore the wide-ranging applications of BioLMs in critical areas such as disease diagnosis, drug discovery, and vaccine development, highlighting their impact and transformative potential in bioinformatics. We identify key challenges and …

Generalizability Analyses With A Partially Nested Trial Design: The Necrotizing Enterocolitis Surgery Trial, Sarah E Robertson, Matthew A Rysavy, Martin L Blakely, Jon A Steingrimsson, Issa J Dahabreh

Faculty, Staff and Student Publications

We discuss generalizability analyses under a partially nested trial design, where part of the trial is nested within a cohort of trial-eligible individuals, while the rest of the trial is not nested. This design arises, for example, when only some centers participating in a trial are able to collect data on non-randomized individuals, or when data on non-randomized individuals cannot be collected for the full duration of the trial. Our work is motivated by the Necrotizing Enterocolitis Surgery Trial (NEST), which compared initial laparotomy versus peritoneal drain for infants with necrotizing enterocolitis or spontaneous intestinal perforation. During the first phase …

Asymmetric Sacral Dysmorphism: Prevalence And Impact On Surgical Planning, Adeet Amin, Kathryn Barth, Colin Ward, Ryan Deangelis, Gregory Schimizzi, Connor Park, Milton L Routt, Stephen J Warner, Patrick Kellam, Mark R Adams, Jonathan G Eastman

Faculty, Staff and Student Publications

Objectives: To determine the prevalence and surgical relevance of asymmetry in patients with sacral dysmorphism.

Design: Retrospective review.

Setting: Level 1 academic trauma center.

Patient selection criteria: Included were patients between 16 and 85 years old with an operative pelvic ring injury (Orthopaedic Trauma Association/Arbeitsgemeinschaft für Osteosynthesefragen (OTA/AO) 61A-C) and a thin-cut pelvis computed tomography (≤2.0 mm) with 3D reformats. Sacral dysmorphism was defined by the inability to place a transiliac-transsacral screw in the upper sacral segment.

Outcome measures and comparisons: Asymmetry was assessed by evaluating side-to-side differences in neuroforaminal height, upper sacral segment pathway obliquity, and anterior-posterior pathway width. …

Influence Of Pullback Pressure Gradient On Residual Angina At One Year, Takuya Mizukami, Kazumasa Ikeda, Daniel Munhoz, Koshiro Sakai, Jeroen Sonck, Hitoshi Matsuo, Toshiro Shinke, Hirohiko Ando, Brian Ko, Simone Biscaglia, Fernando Rivero, Thomas Engstrøm, Antonio Maria Leone, Lokien X Van Nunen, William F Fearon, Evald Høj Christiansen, Stephane Fournier, Liyew Desta, Andy Yong, Julien Adjedj, Javier Escaned, Masafumi Nakayama, Ashkan Eftekhari, Frederik M Zimmermann, Tatyana Storozhenko, Frédéric Bouisset, Domenico Galante, Bruno R Da Costa, Gianluca Campo, Colin Berry, Damien Collison, Tetsuya Amano, Divaka Perera, Allen Jeremias, Ziad A Ali, Ethan Korngold, Eric Wyffels, Adriaan Wilgenhof, Nico Pijls, Bernard De Bruyne, Nils P Johnson, Carlos Collet

Faculty, Staff and Student Publications

Background: The pullback pressure gradient (PPG) is a novel physiological metric that quantifies coronary artery disease patterns as focal or diffuse on a scale from 0 to 1. This study assessed the relationship between PPG and residual angina at 1 year.

Methods: PPG Global is a prospective, investigator-initiated, single-arm, multicenter study that enrolled patients with at least 1 lesion with a fractional flow reserve ≤0.80 intended to be treated with percutaneous coronary intervention. After the PPG calculation, physicians could revise treatment assignment to medical therapy or coronary artery bypass graft surgery instead of percutaneous coronary intervention. Focal and diffuse disease …

An Artificial Intelligence Model For Electrocardiogram Detection Of Occlusion Myocardial Infarction: A Retrospective Study To Reduce False-Positive Cath Lab Activations, Benjamin L Cooper, Evan A Genova, Carrie A Bakunas, Catherine E Reynolds, Benjamin Karfunkle, Nils P Johnson

Faculty, Staff and Student Publications

Aims: Existing ST-segment elevation myocardial infarction (STEMI) alert pathways that rely on traditional STEMI criteria perform suboptimally. We aimed to evaluate the diagnostic performance of an artificial intelligence (AI) model to detect acute occlusion myocardial infarction (OMI) from the routine 12-lead electrocardiogram (ECG) and, specifically, its potential to reduce false-positive activations.

Methods and results: Consecutive adults managed via the STEMI pathway were included from a tertiary academic medical centre between January 2022 and December 2023. Cases without an available ECG for review, death prior to catheterization, or alternative reasons for activation (i.e. electrical instability or urgent interventions) were excluded. Pre-coronary …

A Patient-Derived Organ-On-Chip Platform For Modeling The Tumor Microenvironment And Drug Responses In Pancreatic Cancer, Darbaz Adnan, Natan Roberto De Barros, Luca S Santovito, Xuhong Cheng, Kristi M Lawrence, Mariah K Barnett, Martine D Boetto, Neal Mehta, Ajaypal Singh, Lin Cheng, Xiangsheng Huang, Faraz Bishehsari

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) is a fatal malignancy. Current conventional chemotherapeutics are inadequate in controlling the disease; hence, there is an urgent need for precision medicine. Ex vivo models that replicate the tumor and its microenvironment can advance precision medicine in PDAC. Patient‐derived organoids (PDOs) offer a promising solution by retaining the functional features of the tumor, allowing for individualized study of cancer biology and drug response. However, PDOs fall short in replicating the tumor microenvironment (TME), which includes various stromal and immune cells influencing tumor growth and chemoresistance. We hypothesize that combining PDO technology with organ‐on‐a‐chip (OoC) systems can …

Spatial Profiling Reveals Distinct Molecular And Immune Evolution Of Mouse Lung Adenocarcinoma Precancers With Or Without Carcinogen Exposure, Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian-Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao-Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y Liu, Beibei Huang, Frank R Rojas, Parra Cuentas Edwin Roger, Ou Shi, Monique B Nilsson, Alissa Poteete, Khaja B Khan, Wei Lu, Luisa M Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I Wistuba, Zhubo Wei, Linghua Wang, Don L Gibbons, Ken Chen, Alexandre Reuben, Jason M Schenkel, John V Heymach, Chao Cheng, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

Tumor evolution involves genetic, transcriptional, and phenotypic alterations that shape cancer cell behavior and interactions with the microenvironment. While single‐cell technologies have advanced our understanding of this process, spatial dynamics remain incompletely characterized. Here, whole‐exome sequencing (WES), imaging mass cytometry (IMC), and spatial transcriptomics (ST) were integrated to study molecular evolution and immune responses in two lung adenocarcinoma (LUAD) mouse models: a genetically engineered model (129S4/Sv‐KrasLSL‐G12D, termed 129S4 K) and a carcinogen‐induced precancer model (129S4 U). Compared to 129S4 K, 129S4 U tumors exhibited higher mutational, neoantigen but lower copy number variation (CNV) burdens at matched developmental timepoints, consistent with …

Non-Synaptic Function And Localization Of Syntaxin-Binding Protein 1 In A Mouse Model Of Stxbp1-Related Epileptic Encephalopathy, Tao Yang, Rajat Banerjee, Yamei Deng, Sheetal Jahagirdar, Joo Hyun Kim, Wu Chen, Mingshan Xue, Alexey I Nesvizhskii, Michael D Uhler, Jack M Parent, Yu Wang

Duncan NRI Faculty and Staff Publications

Objective: De novo mutations in the syntaxin-binding protein 1 (STXBP1), encoded by STXBP1, are among the most prevalent causes of variable neurodevelopmental disorders, including epileptic encephalopathy, developmental delay, and movement disorders. Although STXBP1 has been proposed as a critical presynaptic protein controlling synaptic vesicle exocytosis, clinical phenotypes also suggest that its biological function could be more diverse.

Methods: The expression pattern of STXBP1 was studied using immunostaining in vitro and in vivo. Synaptosome isolation was performed to investigate the synaptic and non-synaptic localization of STXBP1 in the brain. STXBP1 immunoprecipitation followed by mass spectrometry (MS) was conducted to identify protein …

Hes V2.0 Validation And Performance Compared To Galad And Asap In The Heds Cohort, Hashem B El-Serag, Camden Lopez, Michelle Luster, K Rajender Reddy, Neehar Parikh, Amit G Singal, Jorge A Marrero, Aaron P Thrift, Jagpreet Chhatwal, Ziding Feng, Stephanie Page-Lester, Qingchun Jin, Nabihah Tayob, Fasiha Kanwal

Faculty, Staff and Students Publications

Background & aims: We previously developed HES V2.0, a biomarker panel (age, ALT, platelets, etiology, AFP, AFP-L3, DCP, and their 1-year gradients) for early detection of hepatocellular carcinoma (HCC) among patients with cirrhosis. We externally validated HES V2.0 and compared its performance with HES V1.0, GALAD, and ASAP.

Methods: We conducted a PRoBE (prospective specimen-collection, retrospective blinded-evaluation) cohort study in the HEDS (Hepatocellular Carcinoma Early Detection Strategy) cohort of 1,485 patients with cirrhosis, of whom 119 developed HCC. Patient- and test-level true positive rates (TPR) for HCC were calculated at 6, 12, and 24 months before diagnosis, using thresholds at …

Predominant Symptom In Gastroparesis: Relationships To Quality Of Life, Treatments, And Outcome, Henry P Parkman, Laura A Wilson, William L Hasler, Madhusudan Grover, Bruno P Chumpitazi, Helen Burton-Murray, Irene Sarosiek, Baha Moshiree, Geoffrey A Preidis, Robert J Shulman, Laura A Miriel, Dave Shade, Braden Kuo, Richard W Mccallum, Thomas L Abell, Pankaj J Pasricha

Faculty, Staff and Students Publications

Background: Patients with gastroparesis (Gp) can have a variety of symptoms. Apart from use of prokinetics, symptomatic therapies for the predominant symptom (PrS) are used.

Aims: (1) To classify Gp patients based on their PrS; (2) To determine differences in Gp symptoms, gastric emptying (GE), quality of life (QOL), treatments, and symptom improvement among Gp patients with different PrS.

Methods: Gp patients were enrolled in a multicenter registry and followed for 96-weeks. Patients recorded their PrS and completed questionnaires assessing symptoms and QOL at enrollment and at follow up visits.

Results: Of 1013 Gp patients (361 diabetic, 607 idiopathic, 45 …

Distributed Battery-Free Bioelectronic Implants With Improved Network Power Transfer Efficiency Via Magnetoelectrics, Joshua E Woods, Fatima Alrashdan, Ellie C Chen, Wendy Tan, Mathews John, Lukas Jaworski, Drew Bernard, Allison Post, Angel Moctezuma-Ramirez, Abdelmotagaly Elgalad, Alexander G Steele, Sean M Barber, Philip J Horner, Amir H Faraji, Dimitry G Sayenko, Mehdi Razavi, Jacob T Robinson

Faculty, Staff and Students Publications

Networks of miniature implants could enable simultaneous sensing and stimulation at different locations in the body, such as the heart and central or peripheral nervous system. This capability would support precise disease tracking and treatment or enable prosthetic technologies with many degrees of freedom. However, wireless power and data transfer are often inefficient through biological tissues, particularly as the number of implanted devices increases. Here we show that magnetoelectric wireless data and power transfer supports a network of millimetre-sized bioelectronic implants in which system efficiency improves with additional devices. We demonstrate wireless, battery-free networks ranging from one to six implants, …

Validation And Longitudinal Trajectory Analysis Of An Ai-Based Ecg Model For Aortic Stenosis: From Community Screening To Pre-Ta\Vr Risk Stratification, Matthew W Segar, Kaleb D Lambeth, Alexander Postalian, Stephanie Coulter, Jasen Gilge, Naveed Razvi, Mohammad Saeed, Robert D Paisley, Ambarish Pandey, Mehdi Razavi

Faculty, Staff and Students Publications

Aims: Early aortic stenosis (AS) detection remains challenging, with many patients presenting late when left ventricular dysfunction may be irreversible. We evaluated whether longitudinal AI-enhanced ECG patterns can predict outcomes years before intervention and assessed the community screening potential of the AK-AVS model.

Methods and results: We conducted two complementary analyses: (1) community validation of the AK-AVS model in 3632 cardiovascular disease-free ARIC participants, and (2) longitudinal trajectory analysis of 7860 ECGs from 2040 TAVR recipients collected up to 10 years pre-procedure. Unsupervised clustering identified distinct AK-AVS trajectories, with mortality associations assessed using Cox regression and net reclassification improvement. In …

Statistical Methods In Aging Research: Improving Current Practices And Embracing Emerging Approaches, Deependra K Thapa, Erik S Parker, Mounika Kandukuri, Xi Rita Wang, Thirupathi R Mokalla, Olivia C Robertson, Wasiuddin Najam, Andrew E Teschendorff, Andrew W Brown, John R Speakman, Yisheng Peng, Bernard S Gorman, Heping Zhang, Luis-Enrique Becerra-Garcia, Colby J Vorland, David B Allison

Faculty, Staff and Students Publications

Aging research relies on varied statistical methods, and applying these methods appropriately is important for scientific rigor. However, proper use of these statistical techniques is a challenge. We discuss two categories of statistical methods in aging research: (a) emerging methods requiring further validation, including techniques to examine compression of morbidity, maximum lifespan, immortal time bias, molecular aging clocks, and treatment response heterogeneity, and (b) classic and existing methods needing reconsideration and improvement, such as stepwise regression, generalized linear models, methods for accounting for clustering and nesting effects, methods for testing for group differences, methods for mediation …

Simulation-Free Spine Palliative Radiotherapy Enabled By Ai-Adapted Diagnostic Ct, Yiding Han, Alexander Nicola Hanania, Zaid Ali Siddiqui, Vincent Ugarte, Boran Zhou, Abdallah S R Mohamed, Piyush Pathak, Daniel Allen Hamstra, Baozhou Sun

Faculty, Staff and Students Publications

Background: Radiotherapy planning traditionally requires a dedicated simulation CT (sCT), which can introduce delays in initiating treatment. This is particularly impactful in spinal palliative care, where timely treatment is often important for symptom control and prevention of neurological deterioration. Although diagnostic CT (dCT) is frequently available earlier in the workflow, it can lead to geometric and dosimetric inaccuracies when used directly for treatment planning due to discrepancies in patient positioning, vertebral alignment, and table curvature.

Purpose: To develop and evaluate an AI-based method that transforms dCT into a simulation-equivalent planning CT (AI-pCT), enabling a clinically feasible simulation-free workflow for spinal …

External Validation Of Calculator For Cesarean Delivery During Induction Of Labor, Claudia J Ibarra, Rachel L Wiley, Han-Yang Chen, Estefania Guthrie, Ipsita Ghose, Hector Mendez-Figueroa, Suneet P Chauhan

Faculty, Staff and Students Publications

Objective: To validate a published risk calculator to predict cesarean delivery (CD) among singletons undergoing induction of labor.

Methods: Our retrospective cohort study included singletons undergoing induction of labor. A predicted CD score was calculated for each individual based on a previously developed calculator. External validation of the calculator was assessed by the discriminative power of the model by using the area under the receiver operating characteristic curve, and by a calibration curve. The score was categorized as less than 10%, 10% to less than 30%, and 30% or greater. The primary outcome was CD. The secondary outcomes were a …

Development Of Retrieval-Augmented Generation-Based Large Language Model For Drug-Induced Liver Injury Using Livertox Data, Ashwin Rao, George Cholankeril, Avegail Flores, Gagan Sood, Terrence E White, Fasiha Kanwal, Hashem B El-Serag

Faculty, Staff and Students Publications

Background: Idiosyncratic DILI is a complex clinical challenge requiring timely and accurate decision support. LiverTox, curated by the National Institute of Health (NIH), offers a comprehensive DILI evidence base, but its encyclopedia-like format hinders point-of-care use. Health care providers increasingly use general large language models (LLMs) for clinical care, raising safety concerns due to LLM hallucinations or misinformation. We hypothesize that retrieval-augmented generation (RAG) integration-grounding LLM responses in LiverTox content-would enable accurate DILI decision support.

Methods: We processed 1343 LiverTox drug monographs into 8759 indexed segments using BioBERT embeddings. We developed a RAG pipeline that employs drug-specific prioritization, section-aware weighting, …

Predictive Validity Of The Obsessive-Compulsive Inventory-4 And Florida Obsessive-Compulsive Inventory-Ii Severity Scale, Eric A Storch, Ryan J Mccarty, Maya Zehavi, Mahnoor Ahmad, Vanessa Zavala Cruz, Dayan Berrones, Josselyn S Muñoz, Diana Obando, Servando Rodriguez Barajas, Renee M Frederick, Jacey L Anderberg, Hannah C Moore, Marcos E Ochoa-Panaifo, Mayra C Martinez Mallen, Ogechi C Onyeka, Andrew D Wiese, Melisa N Sagarnaga, Joseph F Mcguire, Ygor Arzeno Ferrão, Latin American Trans-Ancestry Initiative For Ocd Genomics (Latino), Wayne K Goodman, James J Crowley, Brazilian Obsessive-Compulsive Spectrum Disorder Working Group (Gttoc)

Faculty, Staff and Students Publications

Efficient and accurate screening tools are crucial for improving early identification and treatment outcomes among individuals with obsessive-compulsive disorder (OCD). This study evaluated the sensitivity and specificity of two OCD screening measures: the Obsessive-Compulsive Inventory-4 (OCI-4) and the Florida Obsessive-Compulsive Inventory-II (FOCI-II) severity scale. The measures were administered in a large transnational sample of Spanish speaking Latin American adults (N = 1696) with elevated obsessive-compulsive symptomatology. Participants completed diagnostic interviews (MINI and Y-BOCS) and self-report assessments across 23 sites in 11 countries. Both measures significantly distinguished OCD from non-OCD cases, with the FOCI-II demonstrating somewhat better predictive performance (AUC = …

Predicting Mortality And Costs After Emergency Department Visits By People With Dementia: Timing And Location Matter, Jason K Bowman, Christine S Ritchie, Kei Ouchi, Kyler M Godwin, James A Tulsky, Joan M Teno

Faculty, Staff and Students Publications

Background: People with dementia have high rates of emergency department (ED) and hospital utilization, high mortality and costs, and other poor outcomes. To successfully impact the care trajectories of these patients, health care systems must pragmatically identify the correct target population. This study described patterns of ED utilization by people with dementia and explored the accuracy of administrative data models to predict mortality and costs.

Methods: Retrospective cohort study of a 20% random sample of Traditional Medicare (TM) beneficiaries with dementia, age ≥ 66 years, and an index ED visit in 2018. One-year mortality and high costs were described, and …

Linkage Disequilibrium Score Regression Identifies Genetic Correlations Between Hepatocellular Carcinoma And Clinically Relevant Traits, Younghun Han, Vikram R Shaw, Jinyoung Byun, Aaron P Thrift, Catherine Zhu, Donghui Li, Rikita I Hatia, Robin Kate Kelley, Sean P Cleary, Anna S Lok, Paige M Bracci, Jennifer B Permuth, Roxana Bucur, Jennifer Knox, Jian-Min Yuan, Amit G Singal, Prasun K Jalal, R Mark Ghobrial, Yuko Kono, Dimpy P Shah, Mindie H Nguyen, Neehar D Parikh, Richard Kim, Hui-Chen Wu, Hashem El-Serag, Ping Chang, Yun Shin Chun, Jian Gu, Chad Huff, Asif Rashid, Lu-Yu Hwang, Alison P Klein, Saira A Khaderi, Ahmed O Kaseb, Kathrine A Mcglynn, Lewis R Roberts, Manal M Hassan, Christopher I Amos

Faculty, Staff and Students Publications

Hepatocellular carcinoma (HCC) mortality is increasing globally, partly due to the growing prevalence of nonviral liver diseases. Genome-wide association studies (GWAS) have identified genetic variants associated with HCC development. Leveraging GWAS summary statistics and linkage disequilibrium score regression (LDSR), we investigated disease co-development with hepatitis C virus-negative (HCV-negative) HCC to provide unique insights into HCC etiology and prioritize relationships for further causal inquiry. We utilized the LDSR statistical framework to estimate the genetic correlation and heritability between HCV-negative HCC with 901 epidemiologic, behavioral, and clinical traits from the United Kingdom Biobank (UKBB). First, we set the threshold for observed scale …

Proteomic Signatures Of Cardiac Dysfunction Among People With Diabetes: The Atherosclerosis Risk In Communities Study, Justin B Echouffo-Tcheugui, Chiadi E Ndumele, Jingsha Chen, Mary R Rooney, Keenan A Walker, Pascal Schlosser, Kuni Matsushita, Morgan E Grams, Christie C Ballantyne, Ron C Hoogeveen, Eric Boerwinkle, Bing Yu, Amil M Shah, Ruth F Dubin, Rajat Deo, Yue Ren, Jerome I Rotter, Kent D Taylor, Wendy S Post, Peter Ganz, Elizabeth Selvin, Josef Coresh

Faculty, Staff and Students Publications

Background: To investigate the proteomic signatures of heart failure (HF) in diabetes. The underlying mechanisms of the elevated risk of HF in diabetes are unknown.

Methods: In 10 189 ARIC study (Atherosclerosis Risk in Communities) participants free of HF (mean age 57±7 years, 56% women, 22% Black adults, 14% with diabetes), we conducted discovery and internal validation for the associations of 4955 plasma proteins with HF by diabetes status. We performed (1) Cox regression to identify proteins associated with HF by diabetes status, (2) external validation in the MESA study (Multi-Ethnic Study of Atherosclerosis, n=5233, 633 with diabetes), and (3) …

Examining Sleep-Related Problems In Youth With Misophonia, Kevin M Wagner, Matti Cervin, Catherine E Rast, Mered Parnes, Nicholas Murphy, Samuel Spencer, Eric A Storch, Andrew G Guzick

Faculty, Staff and Students Publications

The relationship between misophonia and sleep-related problems (SRPs) in youth is underexplored. This paucity of research is concerning because SRPs might be elevated among youth with misophonia. If left untreated, SRPs can contribute to long-term health consequences. Thus, in this study we examined the link between misophonia and SRPs in youth aged 8 to 17. In this study, we compared SRPs in 102 children and adolescents with clinically significant misophonia to SRPs in a normative youth sample and a sample of 94 youth with anxiety disorders. We also examined the extent to which SRPs were associated with misophonia severity. Approximately …

Nasopharyngeal Microbiome-Epigenome-Wide Association Analysis In Infants With Severe Bronchiolitis, Ryohei Shibata, Yijun Li, Anat Yaskolka Meir, Sara Javornik Cregeen, Matthew Clayton Ross, Janice A Espinola, Ashley F Sullivan, Liming Liang, Kohei Hasegawa, Carlos A Camargo, Zhaozhong Zhu

Faculty, Staff and Students Publications

Background: Bronchiolitis exposes infants to both acute burdens (e.g., hospitalization in cases of severe bronchiolitis) and increased risks for chronic respiratory sequelae (e.g., asthma). In severe bronchiolitis, recent evidence suggests distinct pathobiological roles of microbiota (e.g., viruses, bacteria) and host responses influenced by genetic and epigenetic factors. However, the relationship of airway microbiota with host DNA methylation (DNAm) in infants with severe bronchiolitis remains unknown.

Methods: In a multi-center prospective cohort of 504 multi-ethnic infants with severe bronchiolitis (age < 1 year), using nasopharyngeal microbiome (exposure) and blood DNAm (outcome, Infinium MethylationEPIC BeadChip, Illumina) data within 24 h of the hospitalization, we conducted microbiome-epigenome-wide association studies (mbEWAS). We examined microbiota-associated differentially methylated CpGs (mbDMCs, false discovery rate [FDR] < 0.05), regions (mbDMRs, FDR < 0.05), and DNAm age acceleration. We also determined the associations of DNAm age acceleration with asthma development by age 6 years. Furthermore, we focused on asthma-related pathogenic bacteria-Haemophilus influenzae, Moraxella catarrhalis, and Streptococcus pneumoniae-for functional analyses by examining serum mbDMR-related proteins (Proseek Multiplex, Olink) and their enriched pathways (FDR < 0.10).

Results: Across 23 common taxa-observed at least in 25% of the infants, we identified 1 mbDMC (S. pneumoniae, cg16594639, chr20: 39528675) …

Pretreatment Risk Model For Radiation-Induced Lymphopenia Is Associated With Adjuvant Durvalumab Efficacy In Patients With Unresectable Stage Iii Nsclc, Peter S N Van Rossum, Pim J J Damen, Francesco Cortiula, Brian P Hobbs, Lorenzo De Marchi, Radhe Mohan, Max Peters, Famke L Schneiders, Dirk De Ruysscher, Robin Wijsman, Joost J C Verhoeff, Ting Xu, Zhongxing Liao, Steven H Lin

Faculty, Staff and Student Publications

Introduction: Severe radiation-induced lymphopenia (RIL) during concurrent chemoradiotherapy (CCRT) for NSCLC has been associated with poorer outcomes and reduced immunotherapy efficacy. Because RIL often develops late during CCRT, identifying patients at risk before treatment may be clinically relevant. This study aimed to develop and validate a nomogram based on pretreatment predictors for severe RIL, and secondarily to explore associations between predicted RIL risk and adjuvant durvalumab-associated survival.

Methods: A retrospective development cohort of consecutive patients with NSCLC treated with CCRT (2010-2019) was established, along with an independent external validation cohort from other institutions. A multivariable logistic regression model was developed …

The Path Forward For T Cell Engagers In Patients With Prostate Cancer, Sumit K. Subudhi, Bilal A. Siddiqui, Kevin K. Zarrabi, William K. Kelly, Charles G. Drake

Department of Medical Oncology Faculty Papers

T cell engagers (TCEs) recruit T cells to the tumor microenvironment (TME) to induce antitumor immune responses. TCEs have demonstrated promising clinical responses in patients with metastatic castration-resistant prostate cancer and have advanced into phase 3 clinical trials. Here we provide an overview of the mechanisms of action of TCEs, including both CD3-targeted and CD28-targeted agents, and review the clinical development of these agents for prostate cancer. We propose a path forward for TCEs in prostate cancer, in which innovative clinical trials will facilitate a biological understanding of mechanisms of efficacy and toxicity to inform: (1) development of predictive biomarkers …

Winner's Curse Free Robust Mendelian Randomization With Summary Data, Zhongming Xie, Wanheng Zhang, Jingshen Wang, Chong Wu

Faculty, Staff and Student Publications

In the past decade, the increased availability of genome-wide association studies summary data has popularized Mendelian Randomization (MR) for conducting causal inference. MR analyses, incorporating genetic variants as instrumental variables, are known for their robustness against reverse causation bias and unmeasured confounders. Nevertheless, classical MR analyses using summary data may still produce biased causal effect estimates due to the winner’s curse and pleiotropy issues. To address these two issues and establish valid causal conclusions, we propose a unified robust Mendelian Randomization framework with summary data, which systematically removes the winner’s curse and screens out invalid genetic instruments with pleiotropic effects. …

Innovative Approaches For Lung Cancer Screening And Interception, Jianjun Zhang, Matthew D Park, Tej Pandya, Elaine Shum, Jia Wu, Simon Heeke, Ramin Salehi-Rad, Thomas U Marron, Zhubo Wei, Hui Li, Torsten G Blum, John V Heymach, Steven M Dubinett, Pan-Chyr Yang, Charles Swanton, Miriam Merad

Faculty, Staff and Student Publications

Lung cancer remains the leading cause of cancer-related deaths worldwide, partly because many patients are diagnosed at late stages, highlighting the urgent need for effective early detection and intervention strategies. Low-dose computed tomography (LDCT)-based screening reduces lung cancer mortality in high-risk populations defined by age and smoking history; however, the uptake of LDCT remains low among eligible individuals. Compounding this issue, modelling studies estimate that nearly half of lung cancers occur in individuals who do not meet eligibility criteria for LDCT-based lung cancer screening under current guidelines. Moreover, LDCT-based screening has inherent limitations, including a high rate of false-positive results …

Author Correction: Machine Learning Models Predict Long Covid Outcomes Based On Baseline Clinical And Immunologic Factors, Naresh Doni Jayavelu, Hady Samaha, Sonia Tandon Wimalasena, Annmarie Hoch, Jeremy P Gygi, Gisela Gabernet, Al Ozonoff, Shanshan Liu, Carly E Milliren, Ofer Levy, Lindsey R Baden, Esther Melamed, Lauren I R Ehrlich, Grace A Mccomsey, Rafick P Sekaly, Charles B Cairns, Elias K Haddad, Joanna Schaenman, Albert C Shaw, David A Hafler, Ruth R Montgomery, David B Corry, Farrah Kheradmand, Mark A Atkinson, Scott C Brakenridge, Nelson I Agudelo Higuit, Jordan P Metcalf, Catherine L Hough, William B Messer, Bali Pulendran, Kari C Nadeau, Mark M Davis, Linda N Geng, Ana Fernandez Sesma, Viviana Simon, Florian Krammer, Monica Kraft, Chris Bime, Carolyn S Calfee, David J Erle, Charles R Langelier, Impacc Network, Leying Guan, Holden T Maecker, Bjoern Peters, Steven H Kleinstein, Elaine F Reed, Alison D Augustine, Joann Diray-Arce, Patrice M Becker, Nadine Rouphael, Matthew C Altman

Faculty, Staff and Students Publications

This corrects the article "Machine learning models predict long COVID outcomes based on baseline clinical and immunologic factors", 1.

Airway Secretory Cells Contain Both A Perinuclear Golgi Ribbon And Dispersed Golgi Satellites, Oanh N Hoang, Colin E Chan, Joshua M Brenner, Denisse Leza-Rincon, Ana M Jaramillo, Brendan Dolan, Adam W Aziz, Rodolfo A Cardenas, Gerardo J Cardenas, Eduardo D Galvez, Joshua B Hales, Emilia S Nunez-Pena, Boxuan Yang, Reid T Powell, Leoncio Vergara, Harry Karmouty-Quintana, Jesper M Magnusson, Gunnar C Hansson, Roberto Adachi, John D Dickinson, Christopher M Evans, Justin A Courson, Alan R Burns, Michael J Tuvim, Burton F Dickey

Faculty, Staff and Student Publications

Rationale: Finely tuned production and secretion of the polymeric mucins MUC5AC and MUCB are required for lung health, but knowledge of many details between their translation and their packaging into secretory granules is lacking.

Objective: To analyze the structure and function of the Golgi apparatus, a key site of mucin glycosylation, folding, polymerization and packaging, in airway epithelial secretory cells.

Methods: Lung tissue was obtained from mice stimulated or not with IL-13 to upregulate mucin production, and from normal human lungs. Golgi elements in mouse and human tissue were imaged by high-resolution immunofluorescence microscopy and electron microscopy. Tissue from mice …

Steroid Receptor Coactivators - From Basic Research To Translational Opportunities, Yosef Gilad, Sang Jun Han, David M Lonard

Faculty, Staff and Students Publications

The concept of nuclear receptor (NR) coregulation was proposed nearly two decades before it was experimentally validated. According to this model, NRs - executors of a vast array of transcriptional programs - do not act independently but are governed by a network of regulatory proteins that either activate or repress their biological function. NRs identify the genes to be regulated. However, coregulators ultimately serve as the true controllers of transcriptional outcomes. They recruit cofactors and coordinate the activity of transcriptional complexes, thereby shaping NR-mediated gene expression beyond NRs' intrinsic functionality. The Steroid Receptor Coactivator (SRC) family is the most extensively …

Adipocyte-Specific Deletion Of Sine Oculis Homeobox Homolog 1 Inhibits Lipolysis And Reduces Skin Fibrosis, Nancy Wareing, Tingting W Mills, Scott Collum, Minghua Wu, Lucy Revercomb, René Girard, Hui Liu, Alexes Daquinag, Mikhail Kolonin, Marka Lyons, Brian Skaug, Weizhen Bi, Meer A Ali, Haniyeh Koochak, Anthony R Flores, Yuntao Yang, W Jim Zheng, William R Swindell, Shervin Assassi, Harry Karmouty-Quintana

Faculty, Staff and Student Publications

Dermal fibrosis is a cardinal feature of systemic sclerosis (SSc) for which there are limited Systemic sclerosis (SSc) is characterized by dermal fibrosis accompanied by loss of dermal white adipose tissue (DWAT), yet the mechanisms linking adipocyte depletion to fibroblast activation remain unclear. Here we identify the transcription factor SIX1 as a central regulator coupling adipogenic repression with profibrotic signaling. SIX1 expression was increased in skin biopsies from two independent SSc cohorts and localized to fibroblast and perivascular stromal cells. In mice, ubiquitous or adipocyte-specific deletion of Six1 preserved DWAT, reduced collagen accumulation, and selectively decreased pro-fibrotic mediators. In cultured …