Digital Commons Network^™

Artificial Intelligence In Ocular Transcriptomics: Applications Of Unsupervised And Supervised Learning, Catherine Lalman, Yimin Yang, Janice L. Walker

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Transcriptomic profiling is a powerful tool for dissecting the cellular and molecular complexity of ocular tissues, providing insights into retinal development, corneal disease, macular degeneration, and glaucoma. With the expansion of microarray, bulk RNA sequencing (RNA-seq), and single-cell RNA-seq technologies, artificial intelligence (AI) has emerged as a key strategy for analyzing high-dimensional gene expression data. This review synthesizes AI-enabled transcriptomic studies in ophthalmology from 2019 to 2025, highlighting how supervised and unsupervised machine learning (ML) methods have advanced biomarker discovery, cell type classification, and eye development and ocular disease modeling. Here, we discuss unsupervised techniques, such as principal component analysis …

Building An Interdisciplinary Workforce In Geroscience: Aligning Perspectives And Educational Goals, Iman M Al-Naggar, Miranda E Orr, Et Al.

2020-Current year OA Pubs

The National Institute on Aging-funded Geroscience Education and Training Network held the "Building an Interdisciplinary Workforce in Geroscience: Aligning Perspectives and Educational Goals" preconference workshop at the 2023 Gerontological Society of America's Annual Meeting. Parties involved in geroscience education and interested stakeholders addressed the development of didactic educational materials, training, and career development opportunities to equip learners with the skills to meet the demands of the emerging field of geroscience, from research to clinic and industry. Recent successes were presented, existing opportunities, gaps, and challenges identified and discussed, and solutions and future directions described.

Human Interpretable Grammar Encodes Multicellular Systems Biology Models To Democratize Virtual Cell Laboratories, Jeanette A I Johnson, Daniel R Bergman, Heber L Rocha, David L Zhou, Eric Cramer, Ian C Mclean, Yoseph W Dance, Max Booth, Zachary Nicholas, Tamara Lopez-Vidal, Atul Deshpande, Randy Heiland, Elmar Bucher, Fatemeh Shojaeian, Matthew Dunworth, André Forjaz, Michael Getz, Inês Godet, Furkan Kurtoglu, Melissa Lyman, John Metzcar, Jacob T Mitchell, Andrew Raddatz, Jacobo Solorzano, Aneequa Sundus, Yafei Wang, David G Denardo, Andrew J Ewald, Daniele M Gilkes, Luciane T Kagohara, Ashley L Kiemen, Elizabeth D Thompson, Denis Wirtz, Laura D Wood, Pei-Hsun Wu, Neeha Zaidi, Lei Zheng, Jacquelyn W Zimmerman, Jude M Phillip, Elizabeth M Jaffee, Joe W Gray, Lisa M Coussens, Young Hwan Chang, Laura M Heiser, Genevieve L Stein-O'Brien, Elana J Fertig, Paul Macklin

Faculty, Staff and Student Publications

Cells interact as dynamically evolving ecosystems. While recent single-cell and spatial multi-omics technologies quantify individual cell characteristics, predicting their evolution requires mathematical modeling. We propose a conceptual framework-a cell behavior hypothesis grammar-that uses natural language statements (cell rules) to create mathematical models. This enables systematic integration of biological knowledge and multi-omics data to generate in silico models, enabling virtual "thought experiments" that test and expand our understanding of multicellular systems and generate new testable hypotheses. This paper motivates and describes the grammar, offers a reference implementation, and demonstrates its use in developing both de novo mechanistic models and those informed …

Deep Phenotyping Of Obesity: Electronic Health Record-Based Temporal Modeling Study, Xiaoyang Ruan, Shuyu Lu, Liwei Wang, Andrew Wen, Sameer Murali, Hongfang Liu

Faculty, Staff and Student Publications

Background: Obesity affects approximately 40% of adults and 15%-20% of children and adolescents in the United States, and poses significant economic and psychosocial burdens. Currently, patient responses to any single antiobesity medication (AOM) vary significantly, making obesity deep phenotyping and associated precision medicine important targets of investigation.

Objective: This study aimed to evaluate the potential of electronic health records (EHR) as a primary data source for obesity deep phenotyping. We conducted an in-depth analysis of the data elements and quality available from obesity patients prior to pharmacotherapy and applied a multimodal longitudinal deep autoencoder to investigate the feasibility, data requirements, …

Genomic Editing Of A Pathogenic Sequence Variant In Acta2 Rescues Multisystemic Smooth Muscle Dysfunction Syndrome In Mice, Qianqian Ding, Peiheng Gan, Zhisheng Xu, Hui Li, Lei Guo, Camryn Macdonald, Wei Tan, Efrain Sanchez-Ortiz, John R Mcanally, Yu Zhang, Dileep Karri, Lin Xu, Ning Liu, Eric N Olson

Faculty, Staff and Student Publications

Background: Vascular smooth muscle cells (SMCs), the predominant cell type in the aortic wall, play a crucial role in maintaining aortic integrity, blood pressure, and cardiovascular function. Vascular SMC contractility and function depend on ACTA2 (smooth muscle α-actin 2). The pathogenic variant ACTA2 c.536G>A (p.R179H) causes multisystemic smooth muscle dysfunction syndrome, a severe disorder marked by widespread smooth muscle abnormalities, resulting in life-threatening aortic disease and high risk of early death from aneurysms or stroke. No effective treatments exist for multisystemic smooth muscle dysfunction syndrome.

Methods: To develop a comprehensive therapy for multisystemic smooth muscle dysfunction syndrome, we used …

Causes Of Symptoms And Symptom Persistence In Long Covid And Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, Anthony L Komaroff, Robert Dantzer

Faculty, Staff and Student Publications

Debilitating symptoms for many years can follow acute COVID-19 ("long COVID"), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and various post-acute infection syndromes (PAISs). Together, long COVID and ME/CFS affect 60-400 million individuals, globally. Many similar underlying biological abnormalities have been identified in both conditions including autoantibodies against neural targets, endothelial dysfunction, acquired mitochondrial dysfunction, and a pro-inflammatory gut microbiome. Each of these abnormalities may directly cause some of the symptoms. In addition, the symptoms also may be caused by ancient, evolutionarily conserved symptomatic and metabolic responses to vital threats-sickness behavior and torpor-responses mediated by specific, recently discovered neural circuits. These neural …

Sox2 Regulates Foregut Squamous Epithelial Homeostasis And Is Lost During Barrett's Esophagus Development, Ramon U. Jin, Yuanwei Xu, T. Mamie Lih, Yang-Zhe Huang, Toni M. Nittolo, Blake E. Sells, Olivia M. Dres, Jean S. Wang, Qing K. Li, Hui Zhang, Jason C. Mills

2020-Current year OA Pubs

Esophageal adenocarcinoma is increasingly prevalent and is thought to arise from Barrett's esophagus (BE), a metaplastic condition in which chronic acid and bile reflux transforms the esophageal squamous epithelium into a gastric-intestinal glandular mucosa. The molecular determinants driving this metaplasia are poorly understood. We developed a human BE organoid biobank that recapitulates BE's molecular heterogeneity. Bulk and single-cell transcriptomics, supported by patient tissue analysis, revealed that BE differentiation reflects a balance between SOX2 (foregut/esophageal) and CDX2 (hindgut/intestinal) transcription factors. Using squamous-specific inducible Sox2-KO (Krt5CreER/+ Sox2Δ/Δ ROSA26tdTomato/+) mice, we observed increased basal proliferation, reduced squamous differentiation, and expanded metaplastic glands at …

Informatics At The Frontier Of Cancer Research, Kathleen Noller, Malachi Griffith, Daniel Marcus, Et Al.

2020-Current year OA Pubs

Digitized healthcare data, high-throughput profiling technologies, and data repositories have facilitated the emergence of a new era of cancer research. Each data stream requires specialized analysis methods for interpretation. The data-driven era of cancer research requires the development, enhancement, and sustainment of informatics technology software infrastructure, including fundamental methodology development in artificial intelligence and data science. We review current and emerging informatics technology developments for cancer research and discovery, spanning molecular and cellular characterizations, image analysis, informatics, and therapeutics. Summarizing the diverse methods and applications of informatics throughout cancer research identifies themes and emerging areas for the next generation of …

Sox2 Regulates Foregut Squamous Epithelial Homeostasis And Is Lost During Barrett’S Esophagus Development, Ramon U Jin, Yuanwei Xu, T Mamie Lih, Yang-Zhe Huang, Toni M Nittolo, Blake E Sells, Olivia M Dres, Jean S Wang, Qing K Li, Hui Zhang, Jason C Mills

Faculty, Staff and Students Publications

Esophageal adenocarcinoma is increasingly prevalent and is thought to arise from Barrett's esophagus (BE), a metaplastic condition in which chronic acid and bile reflux transforms the esophageal squamous epithelium into a gastric-intestinal glandular mucosa. The molecular determinants driving this metaplasia are poorly understood. We developed a human BE organoid biobank that recapitulates BE's molecular heterogeneity. Bulk and single-cell transcriptomics, supported by patient tissue analysis, revealed that BE differentiation reflects a balance between SOX2 (foregut/esophageal) and CDX2 (hindgut/intestinal) transcription factors. Using squamous-specific inducible Sox2-KO (Krt5CreER/+ Sox2Δ/Δ ROSA26tdTomato/+) mice, we observed increased basal proliferation, reduced squamous differentiation, and expanded metaplastic glands at …

Mathematical Modeling And Association Analysis Decipher The Impact Of The Gut Microbiome On Cancer Immunotherapy, Andreas G Hadjigeorgiou, Constantinos Harkos, Aditya K Mishra, Golnaz Morad, Sarah B Johnson, Nadim J Ajami, Jennifer A Wargo, Lance L Munn, Triantafyllos Stylianopoulos, Rakesh K Jain

Faculty, Staff and Student Publications

The gut microbiome has emerged as a key regulator of response to cancer immunotherapy. However, a better understanding of the underlying mechanisms by which the microbiome influences immunotherapy is needed to identify strategies to optimize outcomes. To this end, we developed a mathematical model to obtain insights into the effect of the microbiome on the immune system and immunotherapy response. This model was based on (i) gut microbiome data derived from preclinical studies, (ii) mathematical modeling of the antitumor immune response, (iii) association analysis of microbiome profiles with model-predicted immune profiles, and (iv) statistical models that correlate model parameters with …

Lipidomic And Proteomic Insights From Extracellular Vesicles In The Postmortem Dorsolateral Prefrontal Cortex Reveal Substance Use Disorder-Induced Brain Changes, Chioma M Okeoma, Wasifa Naushad, Bryson C Okeoma, Carlos Gartner, Yulica Santos-Ortega, Calvin Vary, Savio Lima-Bastos, Victor Corasolla Carregari, Martin R Larsen, Alessio Noghero, Consuelo Walss-Bass, Rodrigo Grassi-Oliveira

Faculty, Staff and Student Publications

Substance use disorder (SUD) significantly increases the risk of neurotoxicity, inflammation, oxidative stress, and impaired neuroplasticity. The activation of inflammatory pathways by substances may lead to reactive astrogliosis and chronic neuroinflammation, potentially mediated by the release of extracellular particles (EPs), such as extracellular condensates (ECs) and extracellular vesicles (EVs). These particles, which reflect the physiological, pathophysiological, and metabolic states of their cells of origin, might carry molecular signatures indicative of SUD. In particular, our study investigated neuroinflammatory signatures in SUD patients by isolating EVs from the dorsolateral prefrontal cortex (dlPFC) Brodmann's area 9 (BA9) from postmortem subjects. We isolated BA9-derived …

Large-Scale Crispr Screening In Primary Human 3d Gastric Organoids Enables Comprehensive Dissection Of Gene-Drug Interactions, Yuan-Hung Lo, Hudson T Horn, Mo-Fan Huang, Wei-Chieh Yu, Chia-Mei Young, Qing Liu, Madeline Tomaske, Martina Towers, Antonia Dominguez, Michael C Bassik, Dung-Fang Lee, Lei S Qi, Jonathan S Weissman, Jin Chen, Calvin J Kuo

Faculty, Staff and Student Publications

Understanding how genes influence drug responses is critical for advancing personalized cancer treatments. However, identifying these gene-drug interactions in a physiologically relevant human system remains a challenge, as it requires a model that reflects the complexity and heterogeneity among individuals. Here we show that large-scale CRISPR-based genetic screens, including knockout, interference (CRISPRi), activation (CRISPRa), and single-cell approaches, can be applied in primary human 3D gastric organoids to systematically identify genes that affect sensitivity to cisplatin. Our screens uncover genes that modulate cisplatin response. By combining CRISPR perturbations with single-cell transcriptomics, we resolve how genetic alterations interact with cisplatin at the …

Development Of Emerin Mrna Lipid Nanoparticles To Rescue Myogenic Differentiation., Nicholas Marano, Liza Elif Guner, Rachel S Riley, James M Holaska

Rowan-Virtua School of Osteopathic Medicine Departmental Research

Emery-Dreifuss muscular dystrophy 1 (EDMD1) arises from mutations in EMD. Most EDMD1 patients lack detectable emerin expression. They experience symptoms such as skeletal muscle wasting, joint contractures, and cardiac conduction defects. Currently, physicians rely on treating patient symptoms without addressing the underlying cause-lack of functional emerin protein. Thus, there is a need for therapeutic approaches that restore emerin protein expression to improve patient outcomes. One way would be to deliver emerin mRNA or protein directly to affected tissues to restore tissue homeostasis. Here, we evaluated the utility of lipid nanoparticles (LNPs) to deliver emerin mRNA to diseased cells. LNPs …

Variability In Long Covid Definitions And Validation Of Published Prevalence Rates, Lauren E. Wisk, Michelle L'Hommedieu, Kate Diaz Roldan, Imtiaz Ebna Mannan, Erica S. Spatz, Robert A. Weinstein, Arjun K. Venkatesh, Michael Gottlieb, Ryan Huebinger, Kristin L. Rising, Juan Carlos C. Montoy, Kari A. Stephens, Robert M. Rodriguez, Mandy J. Hill, Kelli N. O'Laughlin, Nicole L. Gentile, Ahamed H. Idris, Shu-Xia Li, Michelle Santangelo, Efrat R. Kean, Samuel A. Mcdonald, Kristyn Gatling, Joann G Elmore

Jefferson Center for Connected Care Faculty Papers

IMPORTANCE: Long COVID definitions vary widely, and no consensus exists on how to accurately measure its prevalence, complicating both clinical care and research.

OBJECTIVE: To assess long COVID prevalence using various definitions from published literature.

DESIGN, SETTING, AND PARTICIPANTS: This prospective, multicenter cohort study used data from the longitudinal Innovative Support for Patients With SARS-CoV-2 Infections Registry (INSPIRE). Participants aged 18 years or older with symptoms suggestive of COVID-19 illness at the time of their index SARS-CoV-2 test enrolled at 8 sites across the US from December 11, 2020, through August 29, 2022, with follow-up surveys collected through February 28, …

Dual-Function Polyester Nanoparticles For Amplified Anti-Inflammatory Effects, Ingrid M Heyns, Abiodun T Wahab, Raghu Ganugula, David Sheikh-Hamad, M N V Ravi Kumar, Meenakshi Arora

Faculty, Staff and Students Publications

This study investigates a dual-acting drug delivery system using naringenin (NAR) as a folate receptor ligand to enhance intestinal uptake and encapsulated NAR for combating inflammation. The dual-acting systems were tested in vitro on cisplatin-induced human kidney-2 cells and in vivo in a mouse model of cisplatin-induced acute kidney injury (AKI). NAR-loaded passive nanoparticles [P2Ns(NAR)] and dual-acting systems [P2Ns-NAR(NAR)] showed notable advantages over unformulated NAR, reducing the required dose by up to 57 and 79%, respectively. These nanoparticles modulated immune responses, restored T cell function, and shifted macrophage polarization from proinflammatory M1 to tissue-repairing M2. In addition, P2Ns-NAR(NAR) alleviated AKI …

Advancing Workforce Development In Digital Health: A Regional Model From The Gcc, Manal Almalki, Osama El-Hassan, Jawad Ahmed, Amr Jamal, Mowafa Househ, Evelyn Hovenga, Paul Barach

College of Population Health Faculty Papers

This study examines the evolution of ZIMAM's role in the Gulf Cooperation Council's (GCC) taskforce on workforce development in digital healthcare. Established in 2016 and formalized as a non-profit organization in 2023, ZIMAM integrates international best practices, regional insights, and innovative strategies to develop a scalable digital health knowledge and skills framework. ZIMAM's methodology includes competency mapping aligned with the Skills Framework for the Information Age (SFIA), stakeholder engagement, and iterative validation to ensure relevance and adaptability. Key ZIMAM initiatives encompass the development of governance structures, capacity-building workshops, annual conferences, and recognition programs such as the ZIMAM-ELSEVIER Digital Health Awards. …

Development Of A Health Knowledge And Skill-Based Framework For The Digital Age, Evelyn Hovenga, Osama El-Hassan, Manal Almalki, Jawad Ahmed, Paul Barach, Mowafa Househ, Amr Jamal

College of Population Health Faculty Papers

The Gulf Cooperation Council (GCC) region is tackling a significant digital healthcare workforce skills gap by creating a computable unified digital health competency framework and repository. Digital technologies and global competency standards are leveraged to professionalize the digital health knowledge domain and facilitate the development of clear career pathways in digital health. A mixed-methods approach was employed to develop the framework. A standardized categorial structure and information model has been developed to support the creation of this computable framework for workforce evaluation and competency-based career development.

Enhancing Digital Health Development Through Speech Act Theory: Application To Peripartum Depression Management, Alexandra Zingg, Tavleen Singh, Michael Truong, Sahiti Myneni

Faculty, Staff and Student Publications

The peripartum period is a time of complex transition into motherhood when women may develop peripartum depression (PPD). Digital information sources can help prevent and monitor symptoms through social support and mental health knowledge. However, few studies have characterized the content and form of peer interactions in PPD online forums to inform interventions. In this paper, we present preliminary work using a dataset of 55,301 interactions to inform our digital health development. We combine manual coding for speech acts, behavioral theory mapping, and user engagement modeling to conceptualize dynamic digital education modules for PPD. Results reveal "Expressive" speech act, where …

Towards Data-Driven Science Literacy: Extracting Psycholinguistic Markers In Vaping-Related Online Peer Interactions, Michael Truong, Ahmed Abdelhameed, Tavleen Singh, Kirk Roberts, Sahiti Myneni

Faculty, Staff and Student Publications

Social media debates on e-cigarettes raise public health concerns due to evolving evidence and conflicting guidelines. We analyzed 25,127 vaping-related comments to explore how users discuss vaping-related topics. Our analysis revealed 25 topics grouped into three parent topics: positive effects of vaping, negative effects of vaping, and vaping-related news & information. Significant differences were observed in psycholinguistic characteristics with high emotional exchanges as positive and negative effects of e-cigarettes are debated. Our results can inform interventions promoting science literacy and misinformation resistance.

Rescue Of Male Infertility By Human Prss55 In Transgenic Mice Establishes A Contraceptive Research Model, Courtney M Sutton, Kohei Umezu, Daisuke Mashiko, Masahito Ikawa, Irina V Larina, Thomas X Garcia, Martin M Matzuk

Faculty, Staff and Students Publications

The development of non-hormonal male contraceptives requires validated preclinical models. This study investigated whether human orthologs of two mouse testis-specific serine proteases, PRSS55 and TMPRSS12, both essential for male fertility in mice, could functionally rescue the infertility phenotypes of their respective knockout mouse lines. We generated transgenic mouse lines expressing human PRSS55 with either an extracellularly or intracellularly positioned C-terminal 3xFLAG tag (RES GPI or RES TM), and a line expressing human TMPRSS12 with a C-terminal 3xFLAG tag (T12 RES), all on their respective mouse null backgrounds. Fertility was assessed through continuous mating trials, and sperm parameters were evaluated. Both …

Genetic Overlap Between Functional Impairment And Depression And Anxiety Symptom Severity: Evidence From The Glad Study, Megan Skelton, Jessica Mundy, Abigail Ter Kuile, Brett Adey, Cherie Armour, Joshua Buckman, Jonathan Coleman, Molly Davies, Colette R. Hirsch, Matthew Hotopf, Ian Jones, Gursharan Kalsi, Georgina Krebs, Sang Hyuck Lee, Yuhao Lin, Andrew M. Mcintosh, Alicia J. Peel, Christopher Rayner, Katharine Rimes, Daniel J. Smith, Katherine N. Thompson, David Veale, James T.R. Walters, Christopher Hübel, Gerome Breen, Thalia C. Eley

School of Psychology

BACKGROUND: Functional impairment in daily activities, such as work and socializing, is part of the diagnostic criteria for major depressive disorder and most anxiety disorders. Despite evidence that symptom severity and functional impairment are partially distinct, functional impairment is often overlooked. To assess whether functional impairment captures diagnostically relevant genetic liability beyond that of symptoms, we aimed to estimate the heritability of, and genetic correlations between, key measures of current depression symptoms, anxiety symptoms, and functional impairment.

METHODS: In 17,130 individuals with lifetime depression or anxiety from the Genetic Links to Anxiety and Depression (GLAD) Study, we analyzed total scores …

Artificial Intelligence-Based Digital Pathology Using H&E-Stained Whole Slide Images In Immuno-Oncology: From Immune Biomarker Detection To Immunotherapy Response Prediction., Jessica Zhang, Horyun Choi, Yeseul Kim, Jonghanne Park, Sukjoo Cho, Eugene Kim, Allen Cho, Ju Young Lee, Jaeyoun Choi, Christmann Low, Chan Mi Jung, Emma J Yu, Jeffrey Chuang, Lee Cooper, Young Kwang Chae

Faculty Research 2025

Immuno-oncology and the advent of immunotherapies, in particular immune checkpoint inhibitors (ICIs), have fundamentally altered the way we treat cancer. Yet only a small subset of patients actually responds to ICIs, and many face significant adverse effects, making the accurate selection of patients for ICIs essential to the work of immuno-oncology. Immune biomarkers, such as programmed death-ligand 1, microsatellite instability/defective mismatch repair, and tumor mutational burden have been developed for patient selection and stratification for ICIs, though their predictive abilities remain limited. This is due to several challenges: lack of adequate tissue sampling, the time-consuming and subjective nature of manual …

Depletion Of Effector Regulatory T Cells Associates With Major Response To Induction Dual Immune Checkpoint Blockade, Xianli Jiang, Nils-Petter Rudqvist, Bo Jiang, Shengbin Ye, Shan He, Qingnan Liang, Jinzhuang Dou, Michelle D Williams, Joe Dan Dunn, Jason M Johnson, Keiko Akagi, Weihong Xiao, Shaoheng Liang, Satvik Elayavalli, Baohua Sun, Edwin R Parra, Renata Ferrarotto, Adam S Garden, Clifton David Fuller, Jay Reddy, Neil D Gross, Miriam N Lango, Cheuk Hong Leung, Suyu Liu, Diane D Liu, Meng Li, J Jack Lee, Michael A Curran, Jack Phan, Ken Chen, Maura L Gillison

Faculty, Staff and Student Publications

In a phase II trial, patients with local-regionally advanced human papillomavirus-positive oropharyngeal carcinoma (n = 35) received ipilimumab (anti-CTLA4) and nivolumab (anti-PD-1) as induction immunotherapy and concurrently with radiotherapy (NCT03799445). Coprimary endpoints included 6-month complete metabolic response rate (94%) and 2-year progression-free survival (84%). Induction yielded a 46% major histopathologic response rate. Single-cell profiling revealed responders had higher baseline intratumoral CD8+ T cells with a tumor-reactive, tissue-resident memory (TRM) phenotype and a treatment-related decrease in effector regulatory T (eTreg) cells. The eTreg decrease correlated with CD8+ T-cell clonotype transitioning from TRM to effector memory and IFNG+ effector cells. …

Nemvaleukin Alfa Monotherapy In Patients With Advanced Melanoma And Renal Cell Carcinoma: Results From The Phase 1/2 Non-Randomized Artistry-1 Trial, Emiliano Calvo, Valentina Boni, Olivier Dumas, Sang Joon Shin, Seth D Rosen, Arvind Chaudhry, Philip R Debruyne, Xiaomin He, Ulka N Vaishampayan, David F Mcdermott

School of Nursing and Midwifery

BACKGROUND: Despite improved outcomes with immune checkpoint inhibitors (ICIs) and their combinations in advanced solid tumors, a subset of patients remains unresponsive or progresses, highlighting an unmet need for novel treatments with durable benefit. Nemvaleukin alfa (nemvaleukin, ALKS 4230) demonstrated manageable safety and antitumor activity, alone and in combination with pembrolizumab, across heavily pretreated advanced solid tumors in the ARTISTRY-1 study. We report in-depth antitumor activity, safety, pharmacokinetics, and pharmacodynamics of nemvaleukin monotherapy at the recommended phase 2 dose (RP2D) in advanced melanoma and renal cell carcinoma (RCC) cohorts from ARTISTRY-1.

METHODS: ARTISTRY-1 was a three-part (A, B, and C), …

Stem Cell-Derived Corneal Epithelium: Engineering Barrier Function For Ocular Surface Repair, Emily Elizabeth Fresenko, Jian-Xing Ma, Matthew Giegengack, Atalie Carina Thompson, Anthony Atala, Andrew J W Huang, Yuanyuan Zhang

2020-Current year OA Pubs

The cornea, the transparent anterior window of the eye, critically refracts light and protects intraocular structures. Corneal pathologies, including trauma, infection, chemical injury, metabolic diseases, genetic conditions, and age-related degeneration, can lead to significant visual impairment. While penetrating keratoplasty or full-thickness corneal transplantation remains a standard and effective intervention for severe corneal dysfunction, limitations in donor tissue availability and the risk of immunogenic graft rejection necessitate alternative therapeutic strategies. Furthermore, for cases of isolated epithelial disfunction, a full-thickness cornea graft may not be required or effective. This review examines the potential of corneal epithelial constructs derived from autologous stem cells …

Enhancing Patient Positioning Accuracy: Evaluating Daily Cone Beam Computed Tomography In The Halcyon System., Duong Thanh Tai, Luong Tien Phat, Tran Trung Kien, Nguyen Ngoc Anh, Nguyen Xuan Hai, Peter Sandwall, David Bradley, James C L Chow

Oncology Articles

BACKGROUND: Precise patient positioning is crucial for successful radiotherapy, ensuring accurate delivery of radiation to tumors while minimizing exposure to healthy tissues. Positional errors can significantly impact treatment efficacy and increase side effects. This study evaluates the effectiveness of daily cone beam computed tomography (CBCT) imaging in the Halcyon system for detecting and correcting patient misalignments across various cancer types and treatment sites.

METHODS: A retrospective analysis was conducted on 411 patients treated with the Varian Halcyon linear accelerator from August 2022 to August 2024. Patients were grouped based on tumor location: Head and Neck (118 patients), Chest (188 patients), …

Inhibition Of Epithelial Cell Yap-Tead/Lox Signaling Attenuates Pulmonary Fibrosis In Preclinical Models, Darcy Elizabeth Wagner, Hani N Alsafadi, Nilay Mitash, Aurelien Justet, Qianjiang Hu, Ricardo Pineda, Claudia Staab-Weijnitz, Martina Korfei, Nika Gvazava, Kristin Wannemo, Ugochi Onwuka, Molly Mozurak, Adriana Estrada-Bernal, Juan Cala-Garcia, Katrin Mutze, Rita Costa, Deniz Bölükbas, John Stegmayr, Wioletta Skronska-Wasek, Stephan Klee, Chiharu Ota, Hoeke A Baarsma, Jingtao Wang, John Sembrat, Anne Hilgendorff, Jun Ding, Andreas Günther, Rachel Chambers, Ivan Rosas, Stijn De Langhe, Naftali Kaminski, Mareike Lehmann, Oliver Eickelberg, Melanie Königshoff

Faculty, Staff and Students Publications

Idiopathic pulmonary fibrosis (IPF) is a progressive and lethal disease characterized by excessive extracellular matrix deposition. Current IPF therapies slow disease progression but do not stop or reverse it. The (myo)fibroblasts are thought to be the main cellular contributors to excessive extracellular matrix production in IPF. Here we show that fibrotic alveolar type II cells regulate production and crosslinking of extracellular matrix via the co-transcriptional activator YAP. YAP leads to increased expression of Lysl oxidase (LOX) and subsequent LOX-mediated crosslinking by fibrotic alveolar type II cells. Pharmacological YAP inhibition via verteporfin reverses fibrotic alveolar type II cell reprogramming and LOX …

Characteristics Of Responders To Interventions For Parkinson Disease: A Scoping Systematic Review, Sidney T. Baudendistel, Gammon M Earhart

2020-Current year OA Pubs

AIMS: The purpose of this review is to identify the characteristics of responders in interventions targeting motor function for individuals with Parkinson disease.

MATERIALS & METHODS: The primary search included, 'Parkinson' + 'responder.' A second, broader, search further included 'response' + 'responsiveness' + 'responsive.' Records were sorted by intervention: neuromodulation, pharmaceutical, physical, and placebo.

RESULTS: Thirteen studies were identified in the primary and 19 studies in the secondary search, culminating in 120 characteristics. For neuromodulation interventions, responders were younger at onset, more responsive to levodopa, and had more difficulties with activities of daily living. Responders to pharmaceuticals were younger at …

Society For Healthcare Epidemiology Of America (Shea) Infectious Diseases Fellow Infection Prevention And Control And Healthcare Epidemiology Curriculum, Elise M Martin, Catherine Cichon, Rebecca Choudhury, Shandra R Day, Yasaman Fatemi, Vera P Luther, Terri Stillwell, Abby Sung

2020-Current year OA Pubs

With the rapid expansion of the Infection Prevention Control/Healthcare Epidemiology (IPC/HE) fields over recent decades, the pivotal roles of IPC/HE in hospital regulation, quality improvement, patient safety, and healthcare finances have become increasingly apparent. Consequently, the demand for effective IPC/HE leaders has surged.

The Importance Of Imperfect Pre-Clinical Models In Adolescent Idiopathic Scoliosis, Diane S Sepich, Ryan S Gray, Nadav Ahituv, Christina A Gurnett, Jonathan J Rios, Lila Solnica-Krezel, Carol A Wise

2020-Current year OA Pubs

Adolescent idiopathic scoliosis (AIS) is a twisting spinal deformity that occurs in otherwise healthy children at the time of rapid pre-pubescent growth. AIS affects ∼3% of children worldwide and is the most common musculoskeletal diagnosis in pediatric populations, posing a significant physiological, psychosocial and financial burden to patients. Genetic predisposition is a clear and major contributor to AIS, and insights from genomic discoveries are inspiring translational studies ultimately aimed at developing novel diagnostics and therapies. Pre-clinical animal models of AIS are now essential to validate human genetic findings, understand gene-by-environment interactions, and speed etiologic and therapeutic discovery. In this Perspective, …