Digital Commons Network^™

Mondo: Integrating Disease Terminology Across Communities., Nicole A Vasilevsky, Sabrina Toro, Nicolas Matentzoglu, Joseph E Flack, Kathleen R Mullen, Harshad Hegde, Sarah Gehrke, Patricia L Whetzel, Yousif Shwetar, Nomi L Harris, Mee S Ngu, Gioconda L Alyea, Megan S Kane, Paola Roncaglia, Eric Sid, Courtney L Thaxton, Valerie Wood, Roshini S Abraham, Maria Isabel Achatz, Pamela Ajuyah, Joanna S Amberger, Lawrence Babb, Jasmine Baker, James P Balhoff, Jonathan S Berg, Amol Bhalla, Xavier Bofill-De Ros, Ian R Braun, Eleanor C Broeren, Blake K Byer, Alicia B Byrne, Tiffany J Callahan, Leigh Carmody, Lauren E Chan, Amanda R Clause, Julie S Cohen, Marcello Deluca, Natalie T Deuitch, May Flowers, Jamie Fraser, Toyofumi Fujiwara, Vanessa Gitau, Jennifer L Goldstein, Dylan Gration, Tudor Groza, Benjamin M Gyori, William Hankey, Jason A Hilton, Daniel S Himmelstein, Stephanie S Hong, Charles T Hoyt, Robert Huether, Eric Hurwitz, Julius O B Jacobsen, Atsuo Kikuchi, Sebastian Köhler, Daniel R Korn, David Lagorce, Bryan J Laraway, Jane Y Li, Adriana J Malheiro, James Mclaughlin, Birgit H M Meldal, Shruthi Mohan, Sierra A T Moxon, Monica C Munoz-Torres, Tristan H Nelson, Frank W Nicholas, David Ochoa, Daniel Olson, Tudor I Oprea, Tomiko T Oskotsky, David Osumi-Sutherland, Kelley Paris, Helen E Parkinson, Zoë M Pendlington, Xiao P Peng, Amy Pizzino, Sharon E Plon, Bradford C Powell, Julie C Ratliff, Heidi L Rehm, Lyubov Remennik, Erin R Riggs, Sean Roberts, Peter N Robinson, Justyne E Ross, Kevin Schaper, Brian M Schilder, Johanna L Schmidt, Elliott W Sharp, Morgan N Similuk, Damian Smedley, Tam P Sneddon, Rachel Sparks, Ray Stefancsik, Gregory S Stupp, Shilpa Sundar, Terue Takatsuki, Imke Tammen, Kezang C Tshering, Deepak R Unni, Eloise Valasek, Adeline Vanderver, Alex H Wagner, Ryan F Webb, Danielle Welter, Doron Yaya-Stupp, Andreas Zankl, Xingmin Aaron Zhang, Julie A Mcmurry, Christopher G Chute, Ada Hamosh, Christopher J Mungall, Melissa A Haendel

Faculty Research 2026

Precision medicine aims to enhance diagnosis, treatment, and prognosis by integrating multimodal data at the point of care. However, challenges arise due to the vast number of diseases, differing methods of classification, and conflicting terminological coding systems and practices used to represent molecular definitions of disease. This lack of interoperability artificially constrains the potential for diagnosis, clinical decision support, care outcome analysis, as well as data linkage across research domains to support the development or repurposing of therapeutics. There is a clear and pressing need for a unified system for managing disease entities⁠-including identifiers, synonyms, and definitions. To address these …

Untangling Impacts Of Socioeconomic Position, Chronic Disease, And Low-Level Pm2.5 Exposure On Mortality Among Native American Medicare Beneficiaries, Judy Wendt Hess, Wenyaw Chan

Faculty, Staff and Student Publications

Ambient fine particulate matter (PM2.5) is associated with increased mortality at concentrations below current regulatory standards. Studies of low-level exposure often rely on large administrative cohorts whose geographic and demographic composition may influence observed associations. In a prior analysis, we observed an association between long-term PM2.5 and all-cause mortality among Native American Medicare beneficiaries living in zip codes within the lowest decile of PM2.5 exposure. The present study, a case-control analysis of 1,713,399 low-PM2.5-exposed beneficiaries enrolled in traditional Medicare during 2015-2016, evaluated whether this association could be explained by geographic context, socioeconomic position (SEP), or baseline health status. We used …

Involving Parents In Prevention: A Case Example Of Research And Intervention Development To Improve Financial Well-Being Support, Nick Axford, Gisella Hanley, Rebecca Summers, Kristin Liabo, Amy Bond, Eleanor Bryant, Georgia Smith, Rachel Silcock, Vashti Berry

Peninsula Medical School

The adverse effects on parent and child outcomes of poverty and stressors associated with low income are well established. With notable exceptions, however, the potential role of frontline services in improving family financial well-being is underexplored. This article outlines how patient and public involvement (PPI) was initiated early on in research on financial well-being support (FWbS). It illustrates how research can build on and integrate what parents say about services and how to research them. The involvement work was undertaken in one city in part to inform the adaptation of an income maximisation service to be delivered in local children’s …

Implementing Measurement-Based Care In Virtual Mental Health Services For Rural Veterans: Provider Insights From A Pre-Implementation Evaluation, Amanda Heeren, Kimberly Mccoy, Lindsey Fuhrmeister, Natalie Suiter, Jan A Lindsay, Chloe Hoang, Laura Marsh, John Fortney, Carolyn Turvey

Faculty, Staff and Students Publications

Background

Measurement-Based Care (MBC) uses repeated standardized psychological assessments to monitor treatment progress and guide clinical decision-making. Although MBC improves outcomes when results are discussed collaboratively, adoption across the Veterans Health Administration (VHA) remains below 50%, particularly in virtual and rural settings. This pre-implementation evaluation explored provider perspectives to inform development of a digital MBC workflow for rural tele-mental health settings.

Methods

Using the Alacrity Center’s Discover, Design, Build, and Test model and User Centered Design, we conducted a pre-implementation survey of mental health providers at a VHA Medical Center providing care to rural and highly rural Veterans in South …

Claudins Interact With Lilrb Immune Inhibitory Receptors To Promote Myeloid Immunosuppression In Cancer, Xiaoye Liu, Ryan Huang, Zhiqiang Ku, Jingjing Xie, Heyu Chen, Yubo He, Qi Lou, Chengcheng Zhang, Xing Yang, Cheryl Lewis, Jade Homsi, Ankit Gupta, Lei Dong, Kenian Chen, Annabel Tu, Liming Du, Hailong Yu, Qing Hu, Meng Fang, Bufan Li, A E M Adan Khan, Caroline Simith, Samuel John, Lin Xu, Ningyan Zhang, Zhiqiang An, Cheng Cheng Zhang

The Brown Foundation: Institute of Molecular Medicine

The mechanisms underlying tumor cell-myeloid cell interactions in the tumor microenvironment (TME) remain unclear, and predictive biomarkers for patient response to myeloid checkpoint blockade are lacking. This study identified specific binding between tight junction claudins (CLDNs) and leukocyte immunoglobulin-like receptor subfamily B2 (LILRB2) and LILRB5. In multiple human cancer cohorts, the spatial proximity of LILRB2-positive macrophages to CLDN-expressing cancer cells correlated with clinical outcomes, highlighting this spatial relationship as a potential biomarker. In syngeneic LILRB2-transgenic and humanized mouse models, CLDN18.2-LILRB2 interactions triggered bidirectional signaling, enhanced the immunosuppressive activity of myeloid cells, and accelerated tumor progression. These effects were reversed by …

Translationally-Relevant Tumor Resection Model For Murine Preclinical Models Of Oral Squamous Cell Carcinoma, Gemalene M Sunga, Alejandra Cobos Perez, Andrea H Molina, Nourhan Hussein, Neeraja Dharmaraj, Andrew Sikora, Simon Young

Faculty, Staff and Student Publications

Currently, the first-line treatment for the most common form of head and neck squamous cell carcinoma (HNSCC), oral cavity squamous cell carcinoma (OSCC), is surgical resection, followed by risk-adapted treatments, such as chemoradiotherapy. However, with the current standard of care and even the emergence of new treatments, such as checkpoint blockade, the overall survival for advanced, recurrent disease remains high, and the prevalence of head and neck cancer is projected to continue to increase in the coming years. Thus, deeper investigation into current standard-of-care modalities, in addition to novel therapeutics, is necessary to translate potential and promising treatment options to …

Organ Procurement Organization Utilization Of Portable Hypothermic Oxygenated Machine Perfusion In Liver Transplantation: The First Us Experience, Christine E. Haugen, Muhammad Bilal Moeen-Ud-Din, Abdalla M. Hadhoud, Achintya Kaw, James R. Butler, James V. Guarrera, Sherry Quire, Ralph C. Quillin

Department of Surgery Faculty Papers

BACKGROUND: Advanced machine perfusion techniques have increased the use of hard-to-place organs, effectively changing the liver transplantation landscape. Liver transplantation machine perfusion has been driven largely by industry or individual transplant centers. We describe the implementation of a portable, organ procurement organization-initiated hypothermic oxygenated machine perfusion strategy for liver transplantation as a proof of concept.

METHODS: Surgeons and staff at a regional organ procurement organization (Indiana Donor Network) were trained to use and cannulate liver allografts using a portable hypothermic oxygenated machine perfusion platform. We evaluated all liver transplantations recovered and placed on hypothermic oxygenated machine perfusion (N = 18) …

Depolymerizing F-Actin Accelerates The Exit From Pluripotency To Enhance Stem Cell-Derived Islet Differentiation, Nathaniel J Hogrebe, Mason D Schmidt, Punn Augsornworawat, Sarah E Gale, Mira Shunkarova, Jeffrey R Millman

2020-Current year OA Pubs

In this study, we demonstrate that cytoskeletal state at the onset of directed differentiation impacts the exit of human pluripotent stem cells (hPSCs) from pluripotency and downstream lineage specification. In particular, depolymerizing F-actin with latrunculin A (latA) during the first 24 h of definitive endoderm formation facilitates efficient loss of pluripotency and alters Activin/Nodal, BMP, c-Jun, and WNT signaling dynamics. These signaling changes influence downstream patterning of the gut tube, leading to improved pancreatic progenitor identity and decreased expression of markers associated with other endodermal lineages. Continued differentiation generates islets containing a higher percentage of β cells that exhibit improved …

Transcultural Headache Medicine: A Framework For Integrating Cultural Contexts Into Headache Science And Care - A Call To Action From The International Headache Society., Mario F. P. Peres, Giancarlo Lucchetti, Homero Vallada, Ivy L. Riso, Georgia K. Westenhofen, Marcelo Moraes Valença, Juliana Ramos De Andrade, K. C. Brennan, Morris Levin, Tsubasa Takizawa, Zhao Dong, Yonggang Wang, Wanakorn Rattanawong, Henry Riyanto Sofyan, Massimo Leone, Freda Dodd-Glover, Hsiangkuo Yuan, Abdulrazaq Albilali, Taoufik Alsaadi, Leonardo Caixeta, Anna P. Andreou, Peter J. Goadsby, Antoinette Maassenvandenbrink, Sait Ashina, Rami Burstein, Patricia Pozo-Rosich, Fayyaz Ahmed, Shuu-Jiun Wang

Department of Jefferson Headache Center Papers and Presentations

Headache disorders are among the most disabling neurological conditions, affecting over 1.5 billion people globally. Despite advances in pharmacological therapies, major inequities persist due to underdiagnosis, undertreatment and limited access to effective care, particularly in low- and middle-income countries. Social determinants of health, including cultural meanings, language and health beliefs, are increasingly recognized as key drivers of disparities in burden, diagnosis and treatment outcomes. Traditional medicine, used by more than 80% of the global population, remains first-line care in many regions and continues to influence therapeutic choices in high-income settings. Major systems such as Ayurveda, Traditional Chinese Medicine, Unani and …

Sensitivity And Concordance Study Of An Open Source Epid-Based Linear Accelerator Test Suite, Lana C Critchfield, Cory S Knill, Ellie Durussel, Justin K Mikell, Michael Barnes, Michael Pillainayagam, William P Donahue, Seng Boh Lim, John J Demarco, Mario Perez, Nilendu Gupta, Hania Al-Hallaq, Richard A Popple, Jim Irrer, Jean M Moran

2020-Current year OA Pubs

BACKGROUND: Electronic portal imaging devices (EPIDs) enhance linear accelerator (linac) quality assurance (QA) efficiency but are not universally used beyond patient-specific IMRT QA. A multi-institutional Consortium seeks to standardize linac QA utilizing an EPID-based test suite.

PURPOSE: This study evaluates the sensitivity of a test suite to intentional linac and plan errors and the concordance with linac fluctuations over time.

METHODS: Baseline and error-introduced tests were performed on a Varian TrueBeam and Clinac. Evaluated parameters included enhanced dynamic wedge factors (EDW) (6MV), central axis dose (6MV, 6MV FFF, 16MV), focal spot alignment and beam symmetry (6MV, 16MV), dose rate-gantry speed …

Apoe-Stratified Proteomic And Metabolomic Analysis Reveals Mitochondrial Dysfunction Inflammation And Lipid Dysregulation In Alzheimer's Disease, Fuhai Li, Yike Chen, Daniel Western, Muhammad Ali, Menghan Liu, Katherine Gong, Ying Xu, Joseph Lowery, David M Holtzman, Carlos Cruchaga, Et Al.

2020-Current year OA Pubs

Apolipoprotein E (APOE) ε4 is the strongest genetic risk factor for Alzheimer's disease (AD). However, it is known that other pathways independent of APOE also play a role in AD. Disentangling APOE-dependent and independent effects is instrumental for understanding the biology of AD. We conducted an APOE-stratified multi-omic analysis in multiple large datasets to identify AD-associated plasma proteins and metabolites. More than 64% of the identified proteins were not found in non-APOE stratified studies, and 17% of the proteins showed APOE-specific trends. Mitochondrial dysfunction was associated in AD independently of APOE and was accompanied by disruptions in glucose and lipid …

Deep Learning In Fetal, Infant, And Toddler Neuroimaging Research, Jenna H Chin, Madeleine K Wyburd, Vladislav Ayzenberg, Laurie Bayet, Berkin Bilgic, Emily M Chen, Yuting Chen, Áine Dineen, Shohei Fujita, Janelle Liu, Yohan Jun, M Catalina Camacho, Lilla Zöllei

2020-Current year OA Pubs

Artificial intelligence (AI) is increasingly being integrated into everyday tasks and work environments. However, its adoption in medical image analysis has progressed more slowly due to high clinical stakes, limited availability of labeled data, and substantial variability in imaging protocols and population. These challenges are further pronounced in the field of fetal, infant, and toddler (FIT) neuroimaging, where datasets are especially scarce and subject to large amounts of anatomical variability. However, deep learning (DL), a specific method within machine learning, which is itself a subfield of AI, has emerged as a powerful framework to adapt to the challenges of medical …

Systematic Benchmarking Demonstrates Large Language Models Have Not Reached The Diagnostic Accuracy Of Traditional Rare-Disease Decision Support Tools., Justin T Reese, Leonardo Chimirri, Yasemin Bridges, Daniel Danis, J Harry Caufield, Michael A Gargano, Carlo Kroll, Andrew Schmeder, Fengchen Liu, Kyran Wissink, Julie A Mcmurry, Adam S L Graefe, Enock Niyonkuru, Daniel R Korn, Elena Casiraghi, Giorgio Valentini, Julius O B Jacobsen, Melissa Haendel, Damian Smedley, Christopher J Mungall, Peter N Robinson

Faculty Research 2026

Large language models (LLMs) show promise in supporting differential diagnosis, but their performance is challenging to evaluate due to the unstructured nature of their responses, and their accuracy compared to existing diagnostic tools is not well characterized. To assess the current capabilities of LLMs to diagnose genetic diseases, we benchmarked these models on 5213 previously published case reports using the Phenopacket Schema, the Human Phenotype Ontology and Mondo disease ontology. Prompts generated from each phenopacket were sent to seven LLMs, including four generalist models and three LLMs specialized for medical applications. The same phenopackets were used as input to a …

Multiscale Metabolic Covariance Networks Uncover Stage-Specific Biomarker Signatures Across The Alzheimer's Disease Continuum., Juan Antonio K Chong Chie, Scott A Persohn, Ravi S Pandey, Olivia R Simcox, Gregory W. Carter, Paul Salama, Paul R Territo, The Alzheimer’S Disease Neuroimaging Initiative

Faculty Research 2026

INTRODUCTION: Functional connectomics studies leverage the power of interregional brain relationships using graph theory of glycolytic metabolism to establish neural connections and their roles in cognition and disease and to monitor therapeutic responses.

METHODS: Using a retrospective clinical population (N = 431) from ADNI, we evaluated disease changes using metabolic covariance analysis. In addition, we developed a novel region set enrichment analysis (RSEA) to detect brain functional changes based on metabolic variations. Results were aligned with transcriptomic signatures and clinical cognitive assessments (CCAs).

RESULTS: Our findings highlight sexual dimorphic changes across the disease spectrum, which suggest brain network reorganization occurs …

White Matter Microstructure Alterations In Social Anxiety Disorder: A Mega-Analysis Across Twelve Cohorts In The Enigma-Anxiety Working Group, Eline F Roelofs, Nynke A Groenewold, Kinga Farkas, Alyssa H Zhu, Si Gao, Tiana Borgers, Udo Dannlowski, Kira Flinkenflügel, Dominik Grotegerd, Tim Hahn, Andreas Jansen, Elisabeth J Leehr, Tilo T J Kircher, Hannah Meinert, Igor Nenadić, Frederike Stein, Benjamin Straube, Tamer Demiralp, Raşit Tükel, P Michiel Westenberg, Jochen Bauer, Anna Kraus, Alexander G G Doruyter, Christine Lochner, David Hofmann, Thomas Straube, André Zugman, Monica E Calkins, Raquel E Gur, Ruben C Gur, Bart S Larsen, Theodore D Satterthwaite, Theresa M Slump, Roman A Vogler, Suzanne N Avery, Jennifer U Blackford, Jacqueline A Clauss, Su Lui, Sophia I Thomopoulos, Robert R J M Vermeiren, Neda Jahanshad, Peter V Kochunov, Paul M Thompson, Daniel S Pine, Dan J Stein, Nic J A Van Der Wee, Janna Marie Bas-Hoogendam

Faculty, Staff and Student Publications

Background: Studies investigating social anxiety disorder (SAD) have reported inconsistent alterations in white matter (WM) microstructure. The ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis)-Anxiety Working Group investigated differences in the microstructure of 25 WM tracts between individuals with SAD and healthy control (HC) participants in a mega-analysis.

Methods: We analyzed data from 487 individuals with SAD and 1604 HC participants (ages 8-65 years) from 12 cohorts worldwide. Analyses and quality control were performed using standardized ENIGMA diffusion tensor imaging protocols. We primarily examined fractional anisotropy (FA) as the main parameter of WM microstructure. Linear mixed-effects analyses were conducted to …

Tfeb Degradation Is Regulated By An Ikk/Β-Trcp2 Phosphorylation-Ubiquitination Cascade, Yan Xiong, Jaiprakash Sharma, Meggie N Young, Wen Xiong, Ali Jazayeri, Karl F Poncha, Ma Xenia G Ilagan, Qing Wang, Bei Gao, Hui Zheng, Nicolas L Young, Marco Sardiello

2020-Current year OA Pubs

Transcription factor EB (TFEB) is a master regulator of lysosomal biogenesis and cellular clearance pathways. TFEB activity is tightly controlled by multiple post-translational mechanisms, but the exact molecular mechanism controlling its stability has remained elusive. Here, we identify the IκB kinase (IKK) complex as a key regulator of TFEB protein stability through a phosphorylation-ubiquitination cascade. A high-content kinase inhibitor screen reveals that IKK inhibition increases TFEB protein levels, and genetic ablation of IKK components increases TFEB stability, upregulates lysosomal genes, and enhances lysosomal biogenesis and degradative capacity. Mechanistically, we show that IKK phosphorylates TFEB on a cluster of serine residues …

Sialidosis Type I: How To Alleviate Disabling Myoclonic Seizures? - A Multicenter Analysis Of Eight Cases And Review Of The Literature, Janina Gburek-Augustat, Shao Ching Tu, Marwan Shinawi, Isabel Alfradique-Dunham, Manouela Valtcheva, Et Al.

2020-Current year OA Pubs

OBJECTIVE: Sialidosis type I (ST-1) is an autosomal-recessive, very rare, progressive lysosomal storage disorder caused by pathogenic variants in NEU1. It is clinically characterized by progressive ataxia, myoclonic seizures (MS), bilateral tonic-clonic seizures (BTCS), and distinctive ophthalmological findings. Given the lack of curative options, in this study, we investigated symptomatic treatment strategies, with a particular focus on the efficacy of antiseizure medications (ASMs).

METHODS: We describe the clinical course of a patient followed from diagnosis to 18 years of age, and review seven additional cases from our cohort. In parallel, we conducted a narrative review of the literature (PubMed, January …

The Integrated 31-Gene Expression Profile Test Identifies Low-Risk Patients With Cutaneous Melanoma Who Can Forego The Slnb Procedure: Results From A Prospective, Multicenter Trial., Timothy Beard, J Michael Guenther, Stanley P Leong, Maki Yamamoto, Samuel Dierks, Brenda Sickle-Santanello, Andrew Ward, Mark Cripe, Parth Shah, Shawn Young

Oncology Articles

AIMS: Prospectively confirm use of the integrated 31-gene expression profile test (i31-SLNB) in patients with cutaneous melanoma to predict sentinel lymph node biopsy (SLNB) positivity and assess recurrence rates in those considered low risk by i31-SLNB who did not have an SLNB.

METHODS: Patients with T1-T4 tumors being considered for SLNB who received 31-gene expression profile (31-GEP) testing in the multi-center, prospective DECIDE study were included (n = 912). Kaplan-Meier analysis was used to estimate recurrence-free survival (RFS).

RESULTS: Among 430 patients with T1-T4 tumors who had an SLNB, the positivity rate was 2.6% (3/114) in those with < 5% i31-SLNB-predicted risk versus 21.4% (28/131) in those with >10% predicted …

Hepatitis C Virus Testing In Perinatally Exposed Children, Rachel L Epstein, Sarah Munroe, Elizabeth A Erdman, Amy Bettano, Megan R Curtis, Laura White, Elisha M Wachman, Anthony Osinski, Alexander Y Walley, Benjamin P Linas

2020-Current year OA Pubs

IMPORTANCE: Despite rising hepatitis C virus (HCV) incidence in pregnant people, studies demonstrate that fewer than 50% of perinatally exposed infants receive HCV testing. Few studies report treatment of infected infants or factors affecting testing.

OBJECTIVE: To identify birthing parent and child factors associated with appropriate HCV testing for perinatally exposed infants and characterize HCV care for children with HCV.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study included records on testing, care, and treatment for Massachusetts children perinatally exposed to HCV between 2014 and 2021 from a statewide health database linking statewide vital statistics, infectious disease surveillance data, substance use …

Mda5-Mavs And Interferon-Lambda Signaling In The Intestinal Epithelium Limit Murine Astrovirus Infection, Heyde Makimaa, Harshad Ingle, Leran Wang, Somya Aggarwal, Hongju Deng, Elizabeth A Kennedy, Lynne Foster, Yuhao Li, Megan T Baldridge

2020-Current year OA Pubs

Human astroviruses (HAstVs) are a global cause of pediatric gastroenteritis and can cause disseminated infection in immunocompromised hosts. Murine astrovirus (muAstV) causes acute asymptomatic infections in immunocompetent mice and chronic infection in immunodeficient models and has provided important insights into AstV pathogenesis in vivo. MuAstV can protect immunodeficient mice from other enteric viruses via robust induction of antiviral cytokine interferon-lambda (IFN-λ), with recent findings implicating goblet cells and enterocytes as both cell types infected by muAstV as well as potential sources of IFN-λ in vivo. However, the viral sensing pathways that regulate induction of IFN-λ, as well as the specific …

Intracranial Mesenchymal Tumor, Fet::Creb Fusion-Positive: An Integrative Analysis Of 81 Cases, Sharika Rajan, Robert Schmidt, Et Al.

2020-Current year OA Pubs

BACKGROUND: Intracranial mesenchymal tumors, FET::CREB fusion-positive (ICMT), show fusions involving FET RNA-binding protein family genes (EWSR1 or FUS) and CREB family of transcription factors (ATF1, CREB1, or CREM). The methylation signature(s), gene expression characteristics, and clinical behavior of this important tumor type require further characterization.

METHODS: We study the methylation profiles of 81 ICMT cases (61 newly profiled cases and 20 cases from publicly available sources). Clinicopathologic and genomic data were recorded for each case when available.

RESULTS: ICMT showed a relatively distinct methylation signature compared to related tumors. Among the 65 cases where fusion types were documented, the identified …

Neurofibromatosis Type 1-Plexiform Neurofibromas: Integrating Treatment Across Pediatric And Adult Populations, Amy E Armstrong, Andrea M Gross, Laura J Klesse, Steven D Rhodes, Shivani Ahlawat, Verena Staedtke, Camilo A Molina, Angela C Hirbe

2020-Current year OA Pubs

Plexiform neurofibromas (PNs) are a hallmark of neurofibromatosis type 1 (NF1), affecting ∼50% of individuals with the condition. Originating from Schwann cells and other peripheral nerve sheath components, these tumors can cause significant morbidity, including functional impairment, diminished health-related quality of life, chronic pain, and malignant transformation. Managing NF1-PNs is challenging because of disease variability, differing growth rates, and age-related differences in clinical presentation and treatment tolerability. This review examines current therapeutic strategies, including surgery, medical therapies, and emerging treatments, emphasizing individualized care. Highlighted here is the need for age-specific treatment planning, particularly as disease progression, comorbidities, and side-effect profiles …

Differential Regulation Of Cyclic Adenosine Monophosphate By Phosphodiesterase 3a Discriminates Thrombin-Induced Protease Activated Receptor 1- And 4-Dependent Platelet Activation, Izabella Andrianova, Abigail Ajanel, Jesse W Rowley, Darian C Murray, Yasuhiro Kosaka, Frederik Denorme, Paul F Bray, Robert A Campbell

2020-Current year OA Pubs

BACKGROUND: Human platelets express 2 thrombin-activated G protein-coupled receptors (GPCRs), protease activated receptor (PAR)1 and PAR4. Previous studies have demonstrated PAR1 activation to be fast on-fast off while PAR4 activation was slower but more sustained. However, how PARs regulate second messengers such as cyclic adenosine monophosphate (cAMP), a negative regulator of platelet activation, remain unknown.

OBJECTIVES: This study investigated how PAR1 and PAR4 activation by thrombin regulates cAMP levels and platelet activation.

METHODS: PAR1 and PAR4 on washed human platelets were inhibited with vorapaxar or BMS-986120, respectively, in the presence or absence of prostaglandin (PG)I

RESULTS: In the presence of …

Lyplal1 Rare Loss-Of-Function Variants In Humans And Deletion In Human Hepatoma Cells Protect Against Masld, Rawdat Hussain, Chinmay Raut, Ponnandy Prabhu, Akram Irshaid, Yash Hegde, Yue Chen, Asmita Pant, Antonino Oliveri, Xiaochao Wei, Lishi Yin, Tiffany L Russell, Brian Halligan, Clay F Semenkovich, Elizabeth K Speliotes

2020-Current year OA Pubs

Genetic variants near LYPLAL1 are associated with Metabolic dysfunction-Associated Steatotic Liver Disease (MASLD) in humans, but their impact on LYPLAL1 function is unknown. We identified LYPLAL1 loss-of-function variants from UK BioBank (UKBB) whole-exome sequencing data that had AlphaMissense or GPN-MSA scores in the top 20% of LYPLAL1 variants for being disruptive. We aggregated these variants and carried out burden analysis for effects on MRI Proton Density-Fat Fraction (MRI-PDFF) and ICD-based MASLD in UKBB. Rare loss-of-function LYPLAL1 variants were associated with reduced MRI-PDFF and ICD diagnosed MASLD across sexes. We used CRISPR to knockout and overexpress LYPLAL1 in human hepatoma cells …

Acute Myocardial Infarction In Medicare Beneficiaries During And After The Covid-19 Pandemic, Jonah M Graves, R J Waken, Fengxian Wang, Rishi K Wadhera, Jose F Figueroa, E John Orav, Osvaldo J Laurido-Soto, Karen E Joynt Maddox

2020-Current year OA Pubs

IMPORTANCE: During early months of the COVID-19 pandemic, presentations for acute myocardial infarction (AMI) declined significantly, and outcomes worsened. However, the full extent and long-term sequelae of changes in AMI epidemiology during the pandemic remain uncertain, as does whether these patterns differed by rurality.

OBJECTIVE: To describe the epidemiology of AMI-related hospitalizations, interventions, and outcomes among Medicare beneficiaries throughout the COVID-19 pandemic, focusing on differences in urban and rural populations.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study included all Medicare fee-for-service beneficiaries with AMI between January 1, 2018, and December 31, 2023, in the analysis. Data were analyzed from …

Performance Of Multiple Multi-Cancer Detection Tests Using A Large Independent Reference Set (Alliance A212102), Marie E Wood, Mark Watson, Et Al.

2020-Current year OA Pubs

BACKGROUND: Reference sets are needed to evaluate performance of multi-cancer detection (MCD) assays. The National Cancer Institute funded the Alliance reference set study to assess MCDs for use in future trials.

METHODS: Individuals with cancer and controls were recruited; blood specimens were collected prior to cancer treatment. A performance evaluation study was designed utilizing reference set samples. Companies (n = 6) were selected to participate based on review of performance data and ability to utilize the blood collection tube. Companies received samples from cancer types their assay was designed to detect ("targeted"), plus additional "non-targeted" and control samples. Companies reported …

Use Of Inverse Probability Weighting In Cardiovascular Surgical Outcomes Research: Principles, Limitations, And Recommendations, Zhongjian Liu, Wei-Guo Ma, Lei Liu, Prashanth Vallabhajosyula, Haibo Wang

2020-Current year OA Pubs

This statistical primer presents a comprehensive introduction to the use of inverse probability of treatment weighting (IPTW), a method for rebalancing group confounders at baseline in cardiovascular surgical outcomes research. We leveraged a retrospective study comparing the outcomes of 2 different surgical approaches to aortic arch pathology to illustrate the essential aspects of performing IPTW, including basic theories, application, extreme weights, underestimated variance, heterogeneity of treatment effect, and multicollinearity. The limitations of IPTW were discussed with examples of solutions. Ten practical recommendations are made on avoiding the pitfalls in the use of IPTW. Proper use of IPTW may effectively reduce …

The Femoral Head Edema Zone: A Novel Classification Scheme To Better Predict Osteonecrosis Progression, Deniz C Ince, Vivek P Shah, Kenichi Kikuchi, Kyle P O'Connor, Elizabeth L Yanik, John C Clohisy, Cecilia Pascual-Garrido

2020-Current year OA Pubs

BACKGROUND: This study proposed a new classification, the Edema Zone classification, that uses magnetic resonance imaging images to grade the extent of edema in osteonecrosis of the femoral head. The purpose of the study was (1) to examine how the Edema Zone classification compared to the Japanese Investigation Committee (JIC) classification's prognostic ability for early conversion to total hip arthroplasty (THA), and (2) to determine how accurately and reliably the Edema Zone classification performed as a classification system.

METHODS: This was a retrospective study of hips that converted to THA from a core decompression within 26 months compared to hips …

An International Mega-Analysis Of Psychedelic Drug Effects On Brain Circuit Function, Manesh Girn, Nico Dosenbach, Et Al.

2020-Current year OA Pubs

Psychedelic drugs are re-emerging as promising scientific and clinical tools. However, despite a rapidly expanding literature on their therapeutic value, the neural mechanisms underlying psychedelic effects remain unclear. Resting-state functional magnetic resonance imaging studies of acute psychedelic effects, conducted independently by several research groups, have so far yielded fragmented and sometimes inconsistent findings. Here, to help facilitate greater convergence, we conducted a 'mega-analysis' integrating 11 independent resting-state functional magnetic resonance imaging datasets across five psychedelic drugs (psilocybin, lysergic acid diethylamide, mescaline, N,N-dimethyltryptamine and ayahuasca) from research groups spanning three continents and five countries. By applying a uniform preprocessing pipeline and …

Preoperative Imaging For Cochlear Implantation: A Global Consensus, Farid Alzhrani, Craig Buchman, Et Al.

2020-Current year OA Pubs

OBJECTIVE: Preoperative imaging is vital for cochlear implant surgeries, aiding diagnosis, and surgical planning. This study evaluated global practices and the value of preoperative imaging through an international survey.

METHODS: A cross-sectional survey was conducted among international cochlear implantation experts using a 112-item questionnaire. The study explored imaging modalities, anatomical targets, evaluated parameters, and different imaging approaches' perceived value and risks. Participants were recruited from a global consortium of otolaryngology, otology, neurotology, and cochlear implant surgery professionals.

RESULTS: Thirty-nine practitioners from 36 centers in 16 countries completed the survey (95.1% response rate). All used computed tomography (CT) and magnetic resonance …