Digital Commons Network^™

Overview Of The Head And Neck Tumor Segmentation For Magnetic Resonance Guided Applications (Hnts-Mrg) 2024 Challenge, Kareem A Wahid, Cem Dede, Dina M El-Habashy, Serageldin Kamel, Michael K Rooney, Yomna Khamis, Moamen R A Abdelaal, Sara Ahmed, Kelsey L Corrigan, Enoch Chang, Stephanie O Dudzinski, Travis C Salzillo, Brigid A Mcdonald, Samuel L Mulder, Lucas Mccullum, Qusai Alakayleh, Carlos Sjogreen, Renjie He, Abdallah S R Mohamed, Stephen Y Lai, John P Christodouleas, Andrew J Schaefer, Mohamed A Naser, Clifton D Fuller

Faculty, Staff and Student Publications

Magnetic resonance (MR)-guided radiation therapy (RT) is enhancing head and neck cancer (HNC) treatment through superior soft tissue contrast and longitudinal imaging capabilities. However, manual tumor segmentation remains a significant challenge, spurring interest in artificial intelligence (AI)-driven automation. To accelerate innovation in this field, we present the Head and Neck Tumor Segmentation for MR-Guided Applications (HNTS-MRG) 2024 Challenge, a satellite event of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. This challenge addresses the scarcity of large, publicly available AI-ready adaptive RT datasets in HNC and explores the potential of incorporating multi-timepoint data to enhance RT …

General Kernel Machine Methods For Multi-Omics Integration And Genome-Wide Association Testing With Related Individuals, Amarise Little, Ni Zhao, Anna Mikhaylova, Angela Zhang, Wodan Ling, Florian Thibord, Andrew D Johnson, Laura M Raffield, Joanne E Curran, John Blangero, Jeffrey R O'Connell, Huichun Xu, Jerome I Rotter, Stephen S Rich, Kenneth M Rice, Ming-Huei Chen, Alexander Reiner, Charles Kooperberg, Thao Vu, Lifang Hou, Myriam Fornage, Ruth J F Loos, Eimear Kenny, Rasika Mathias, Lewis Becker, Albert V Smith, Eric Boerwinkle, Bing Yu, Timothy Thornton, Michael C Wu

Faculty, Staff and Student Publications

Integrating multi-omics data may help researchers understand the genetic underpinnings of complex traits and diseases. However, the best ways to integrate multi-omics data and use them to address pressing scientific questions remain a challenge. One important and topical problem is how to assess the aggregate effect of multiple genomic data types (e.g. genotypes and gene expression levels) on a phenotype, particularly while accommodating routine issues, such as having related subjects' data in analyses. In this paper, we extend an existing composite kernel machine regression model to integrate two multi-omics data types, while accommodating for general correlation structures amongst outcomes. Due …

Sustaining Substance Use Recovery Housing For People Taking Medications For Opioid Use Disorder: Diverse Funding, Strategic Partnerships, And Charging Rent, I Niles Zoschke, Kathryn R Gallardo, Danielle Gillespie, Hannah L N Stewart, Serena A Rodriguez, Sheryl A Mccurdy, J Michael Wilkerson

Faculty, Staff and Student Publications

Introduction: Opioid use disorder is a U.S. epidemic, and recovery housing plays a critical role by providing stable, supportive environments that promote long-term recovery. However, little is known about the sustainability of recovery homes, particularly those serving people taking medications for opioid use disorder.

Methods: We applied thematic analysis to interviews with 29 staff and operators from 10 recovery homes serving people taking medications for opioid use disorder across five Texas cities.

Results: Operators relied on diverse funding sources, leveraged strategic partnerships and professional certifications, and planned to charge rent when public funding ended. Staff and operators balanced financial sustainability …

Prediction Of Preterm Birth Among Infants With Orofacial Cleft Defects, Katherine L Ludorf, Renata H Benjamin, Mark A Canfield, Michael D Swartz, A J Agopian

Faculty, Staff and Student Publications

Objective: To develop risk prediction models for preterm birth among infants with orofacial clefts.

Design: Data from the Texas Birth Defects Registry for infants with orofacial clefts born between 1999-2014 were used to develop preterm birth predictive models. Logistic regression was used to consider maternal and infant characteristics, and internal validation of the final model was performed using bootstrapping methods. The area under the curve (AUC) statistic was generated to assess model performance, and separate predictive models were built and validated for infants with cleft lip and cleft palate alone. Several secondary analyses were conducted among subgroups of interest.

Setting: …

Corrigendum: Phenotypic Variation In Disease Severity Among Hospitalized Pediatric Patients With Covid-19: Assessing The Impact Of Covid-19 In The Epico Study, María Camila Sossa-Alarcón, Mónica Paola Gutiérrez, Natalia Becerra, Luz Yessenia Ortegon, María Camila David, Melisa Naranjo Vanegas, Gabriela Friedrich, Pablo Vásquez-Hoyos, María Lucía Mesa-Rubio, Luis Miguel Navarro-Ramirez, Sergio Moreno-Lopez, Olga Lucía Baquero, Luz Marina Mejía, Juan Gabriel Piñeros, Sonia Restrepo-Gualteros, Carlos Álvarez-Moreno, Alejandro Díaz-Díaz, Iván Gutierrez-Tobar, Andrés Camilo Mesa, William Ricardo Bachiller Tuta, Clara Esperanza Galvis Diaz, Martha Africano, José Manuel Nieto, Paola Marsela Pérez Camacho, Claudia Beltrán-Arroyave, Rosalba Vivas Trochez, Irati Gastesi, Cinta Moraleda, Alfredo Tagarro García, Blanca Herrero, Lourdes Calleja, Carlos Grasa, Paula Rodriguez, Susana Melendo, Antoni Soriano-Arandes, Irene Gómez Pastrana, Sonsoles García García, Victoria Fumado, Andrea Ramírez Varela

Faculty, Staff and Student Publications

This corrects the article "Phenotypic Variation in Disease Severity Among Hospitalized Pediatric Patients With COVID-19: Assessing the Impact of COVID-19 in the EPICO Study", 1607246.

Recovery Housing And On-The-Ground Research Priorities: A Scoping Study Through The Lens Of Community Based Participatory Research, Patrick F Hibbard, Cameron W Tice, Jodie M Dewey, Kathryn R Gallardo, James Tompkins, Justin S Bell, Jasleen Sandhu, Michelle A Cruz, Kathryn Babbitt, Amy A Mericle, Ashli J Sheidow

Faculty, Staff and Student Publications

Introduction: Though communities have featured recovery housing (RH) for several decades, the base of evidence for best practices continues to grow - especially evidence needed by, and known to, those who operate and receive these services. The Initiative for Justice and Emerging Adult Populations (JEAP) engaged with three community boards (CBs) - consisting of young adults with experience in recovery from substance use issues, people who have a history of criminal legal system involvement and recovery, and payers and provider of substance use services and harm reduction - to understand on-the-ground priorities for research into recovery support services.

Methods: JEAP …

Community-Involved Economic Evaluation And Development Of A Cost-Effectiveness Calculator For Two Peer-Driven Substance Use Interventions, Sierra Castedo De Martell, Margaret B Moore, Hannah Wang, Lori Holleran Steiker, J Michael Wilkerson, Sheryl A Mccurdy, Nalini Ranjit, H Shelton Brown

Faculty, Staff and Student Publications

Introduction: While peer-driven substance use interventions have proliferated across the U.S., economic evaluations of these interventions have lagged behind. A key characteristic of these interventions is the centrality of the "nothing about us without us" ethos, which should extend into economic evaluation research. To that end, this study sought to take a community-based participatory research (CBPR) approach to conducting a cost-effectiveness analysis (CEA) of peer recovery support services (PRSS) and turning that CEA and a CEA of bystander naloxone distribution (BND) into components of a free, web-based calculator for use by recovery community centers (RCCs).

Methods: We engaged staff and …

Reusable Generic Clinical Decision Support System Module For Immunization Recommendations In Resource-Constraint Settings, Samuil Orlioglu, Akash Shanmugan Boobalan, Kojo Abanyie, Richard D Boyce, Hua Min, Yang Gong, Dean F Sittig, Paul Biondich, Adam Wright, Christian Nøhr, Timothy Law, David Robinson, Arild Faxvaag, Nina Hubig, Ronald Gimbel, Lior Rennert, Xia Jing

Faculty, Staff and Student Publications

Clinical decision support systems (CDSS) are routinely employed in clinical settings to improve quality of care, ensure patient safety, and deliver consistent medical care. However, rule-based CDSS, currently available, do not feature reusable rules. In this study, we present CDSS with reusable rules. Our solution includes a common CDSS module, electronic medical record (EMR) specific adapters, CDSS rules written in the clinical quality language (CQL) (derived from CDC immunization recommendations), and patient records in fast healthcare interoperability resources (FHIR) format. The proposed CDSS is entirely browser-based and reachable within the user's EMR interface at the client-side. This helps to avoid …

Exploring The Inequitable Impact Of Data Missingness On Fairness In Machine Learning, Sitao Min, Hafiz Asif, Jaideep Vaidya

Faculty, Staff and Student Publications

Today, data-driven models and artificial intelligence / machine learning underlie decision making in almost all aspects of society. However, significant concerns have been raised over the fairness of such models. While various aspects of algorithmic fairness have been studied, the effect of missing data on fairness remains understudied. This is a significant problem since data in real-world settings is almost never complete, and may often suffer from systemic missingness. This article systematically evaluates how missing data, particularly when correlated with protected classes and outcome variables, affects the fairness of classifiers. Utilizing a comprehensive framework covering various missing data patterns, rates, …

Intestinal Oxygen Utilisation And Cellular Adaptation During Intestinal Ischaemia-Reperfusion Injury, Paraschos Archontakis-Barakakis, Theodoros Mavridis, David-Dimitris Chlorogiannis, Georgios Barakakis, Eleni Laou, Daniel I Sessler, George Gkiokas, Athanasios Chalkias

Faculty, Staff and Student Publications

The gastrointestinal tract can be deranged by ailments including sepsis, trauma and haemorrhage. Ischaemic injury provokes a common constellation of microscopic and macroscopic changes that, together with the paradoxical exacerbation of cellular dysfunction and death following restoration of blood flow, are collectively known as ischaemia-reperfusion injury (IRI). Although much of the gastrointestinal tract is normally hypoxemic, intestinal IRI results when there is inadequate oxygen availability due to poor supply (pathological hypoxia) or abnormal tissue oxygen use and metabolism (dysoxia). Intestinal oxygen uptake usually remains constant over a wide range of blood flows and pressures, with cellular function being substantively compromised …

Phenotypic Variation In Disease Severity Among Hospitalized Pediatric Patients With Covid-19: Assessing The Impact Of Covid-19 In The Epico Study, María Camila Sossa-Alarcón, Mónica Paola Gutiérrez, Natalia Becerra, Luz Yessenia Ortegon, María Camila David, Melisa Naranjo Vanegas, Gabriela Friedrich, Pablo Vásquez-Hoyos, María Lucía Mesa-Rubio, Luis Miguel Navarro-Ramirez, Sergio Moreno-Lopez, Olga Lucía Baquero, Luz Marina Mejía, Juan Gabriel Piñeros, Sonia Restrepo-Gualteros, Carlos Álvarez-Moreno, Alejandro Díaz-Díaz, Iván Gutierrez-Tobar, Andrés Camilo Mesa, William Ricardo Bachiller Tuta, Clara Esperanza Galvis Diaz, Martha Africano, José Manuel Nieto, Paola Marsela Pérez Camacho, Claudia Beltrán-Arroyave, Rosalba Vivas Trochez, Irati Gastesi, Cinta Moraleda, Alfredo Tagarro García, Blanca Herrero, Lourdes Calleja, Carlos Grasa, Paula Rodriguez, Susana Melendo, Antoni Soriano-Arandes, Irene Gómez Pastrana, Sonsoles García García, Victoria Fumado, Andrea Ramírez Varela

Faculty, Staff and Student Publications

Objective: To characterize the clinical phenotypes of SARS-CoV-2 infection in hospitalized children as part of the EPICO multicenter cohort study.

Methods: We included hospitalized children with confirmed SARS-CoV-2 infection from Colombian and Spanish institutions to assess disease evolution and outcomes. Cluster analysis was performed to identify clinical phenotypes.

Results: A total of 2318 patients were included (55% male, 36% infants). Five phenotype clusters emerged: Cluster 1 (26.5%): infants without comorbidities, low PICU admissions and mortality; Cluster 2 (18.5%): respiratory comorbidities, high microorganism co-detection and mortality; Cluster 3 (11.5%): fever, gastrointestinal symptoms, high PICU admissions; Cluster 4 (32%): mild unspecific symptoms, …

Application Of Multi-Angle Spaceborne Observations In Characterizing The Long-Term Particulate Organic Carbon Pollution In China, Yun Hang, Qiang Pu, Qiao Zhu, Xia Meng, Zhihao Jin, Fengchao Liang, Hezhong Tian, Tiantian Li, Tijian Wang, Junji Cao, Qingyan Fu, Sagnik Dey, Shenshen Li, Kan Huang, Haidong Kan, Xiaoming Shi, Yang Liu

Faculty, Staff and Student Publications

Ambient PM2.5 pollution poses a major risk to public health in China, contributing to significant mortality and morbidity. While overall PM2.5 concentrations have declined in recent years, the changes in PM2.5 chemical constituents remain inadequately understood due to limited ground monitoring networks. We developed a Super Learner model that integrates MISR satellite data, chemistry transport model simulations, and land use information to predict daily OC concentrations across China from 2003 to 2019 at a 10-km spatial resolution. The model achieved high predictive accuracy with a cross-validation R2 of 0.84 and an RMSE of 4.9 μg/m3. Our findings show elevated OC …

Feasibility Of Conducting A Pilot Randomized Trial Of A Mindfulness-Based Intervention Among Sheltered Young Adults Experiencing Homelessness, Diane Santa Maria, Paula Cuccaro, Erica Sibinga, Kimberly Bender, Ethel Jacko, Widumini Liyanage, Jennifer Jones, Stanley Cron

Faculty, Staff and Student Publications

Purpose: Youth experiencing homelessness (YEH) are an underserved and difficult-to-reach population that experiences a disproportionate burden of trauma and stress compared to their housed peers. Prolonged trauma and stress can impact the development of negative emotions, reactive stress responses, and impulsive decision-making, which can lead to risk-taking behaviors. Growing research shows that Mindfulness-Based interventions (MBIs) can improve coping, impulsivity, emotion regulation, and executive function although no MBIs tailored for YEH have been tested.

Methods: We conducted a pilot attention-control randomized trial to test the feasibility and acceptability of an adapted MBI, .b4me (pronounced dot be for me), for …

Large-Vessel Occlusion Stroke Knowledge And Training For Stroke Severity Assessment Among Emergency Medical Services Personnel In The United States, Kaiz S Asif, Robin Novakovic, Thanh N Nguyen, Santiago Ortega-Gutierrez, Youngran Kim, Amanda Jagolino-Cole, Sushanth Aroor, Alicia Castonguay, Prateek Kumar, Ashutosh P Jhadav, Dileep Yavagal, May Nour, Gabor Toth, Maxim Mokin, Sunil A Sheth, Mouhammad A Jumaa, Alhamza Al-Bayati, Mohamed Teleb, Ossama Y Mansour, Shashvat M Desai, Joshua Hartman, David S Liebeskind, Ameer E Hassan, Brijesh P Mehta, Svin Education And Speed Committees

Faculty, Staff and Student Publications

Background: Prehospital identification of large-vessel occlusion (LVO) stroke facilitates the development of a regional triage protocol that could lead to an improvement in intrahospital and interhospital workflows. This requires stroke education of emergency medical services (EMS) personnel to improve stroke recognition, severity assessment, and prenotification. However, the current state of EMS personnel's knowledge of LVO stroke, their training for stroke severity assessment, and their preferences for educational methods are unknown. We conducted a nationwide EMS survey across the United States to glean insights that can inform and customize future EMS educational efforts.

Methods: The Society of Vascular and Interventional Neurology, …

Community Consultation For Exception From Informed Consent Studies: Are Market Research Surveys Representative Of The Target Community Populations?, Shannon W Stephens, Russell L Griffin, Christy Carroll-Ledbetter, Sarah Duckert, Margaret Nelson, Joel Rodgers, Adam Mcclintock, Sara F Goldkind, Luke Gelinas, Amanda E Higley, Stacia Desantis, Claudia Pedroza, Luis Leon-Novelo, James Stubbs, Marissa B Marques, Henry Wang, John B Holcomb, Jan O Jansen, Troop Trial Investigators

Faculty, Staff and Student Publications

Background: 'Exception from informed consent' research requires community consultation to ensure that the views of the local population have been considered. Using market research companies to distribute surveys across local populations is attractive because it ensures adequate response rates. It is not known whether individuals who respond to surveys are typical of the targeted communities. The purpose of this study is to compare the demographics of the survey respondents with that of the general population in the same area.

Methods: This is an analysis of data collected as part of the 'Trauma Resuscitation with Group O Whole Blood or Products' …

Formication With Destruction Of The Nasal Septum: A Rare Case Report, Michele White, Dwayne Evans, Gary Frey, Cleverick Cd Johnson, Ben F Warner

Faculty, Staff and Student Publications

Delusions of parasitosis are known by several names, one of which is formication. It is an uncommon psychiatric disorder listed in the DSM V under the classification of delusional disorders. Patients experience an established, incorrect belief that they have an infection of living organisms such as parasites. There are two types of delusions of parasitosis, primary and secondary. In the primary form, the symptom is the delusion of a parasitic infection without secondary cause. The secondary form includes this symptom as well as additional psychiatric disorder, drug abuse, or medical illness. Patients often seek consultation with dental providers for dental …

Association Between Trust In The Incumbent President And Covid-19 Preventive Behaviors During The Pandemic In Four Latin American Countries, Juliana Mejía-Grueso, Gloria Isabel Niño-Cruz, Javiera Alarcón-Aguilar, Pablo Roa-Urrutia, Sergio Mauricio Moreno-López, Adriano Akira Ferreira Hino, Alexandre Augusto De Paula Da Silva, Fernando López, Deborah Salvo, Rodrigo Siqueira Reis, Guillermo Rosas, Andrea Ramírez-Varela

Faculty, Staff and Student Publications

The COVID-19 pandemic revealed disparities in policy responses in Latin America. We examined the association between trust in the president and COVID-19 preventive behaviors in Brazil, Chile, Colombia, and Mexico. We used data from the Collaborative COVID-19 Response Survey by the McDonnell Academy at Washington University in St. Louis (United States), from September 2020 to March 2021. Nonprobabilistic sampling included adult citizens from the four countries. Multivariate negative binomial regression models were applied. The study included 8,125 participants, with Brazil showing the lowest adherence to preventive behaviors (65.5%). Increased adoption of preventive behaviors was linked with ages 18-26 (aIRR = …

Reproducibility And Repeatability Of 18f-(2s, 4r)-4-Fluoroglutamine Pet Imaging In Preclinical Oncology Models, Gregory D Ayers, Allison S Cohen, Seong-Woo Bae, Xiaoxia Wen, Alyssa Pollard, Shilpa Sharma, Trey Claus, Adria Payne, Ling Geng, Ping Zhao, Mohammed Noor Tantawy, Seth T Gammon, H Charles Manning

Faculty, Staff and Student Publications

Introduction: Measurement of repeatability and reproducibility (R&R) is necessary to realize the full potential of positron emission tomography (PET). Several studies have evaluated the reproducibility of PET using 18F-FDG, the most common PET tracer used in oncology, but similar studies using other PET tracers are scarce. Even fewer assess agreement and R&R with statistical methods designed explicitly for the task. 18F-(2S, 4R)-4-fluoro-glutamine (18F-Gln) is a PET tracer designed for imaging glutamine uptake and metabolism. This study illustrates high reproducibility and repeatability with 18F-Gln for in vivo research.

Methods: Twenty mice bearing colorectal cancer cell line xenografts were injected with ~9 …

Selective Inhibition Of Canonical Stat3 Signaling Suppresses K-Ras Mutant Lung Tumorigenesis And Reinvigorates Anti-Tumor Immunity, Michael J Clowers, Zahraa Rahal, Sung-Nam Cho, Avantika Krishna, Bo Yuan, Leticia G Hamana Zorrilla, T Kris Eckols, Moses M Kasembeli, Samuel Liu, Stephen Peng, Marco Ramos-Castaneda, Annamarie L Thompson, Carlos Ignacio Rodriguez Reyna, Katherine E Larsen, Maria T Grimaldo, Shanshan Deng, Nastaran Karimi, Cody Chou, Walter V Velasco, Melody Zarghooni, Sayan Alekseev, Luisa M Solis Soto, Edwin J Ostrin, Humam Kadara, Suhendan Ekmekcioglu, David J Tweardy, Seyed Javad Moghaddam

Faculty, Staff and Student Publications

Introduction: K-ras mutant lung adenocarcinoma (KM-LUAD) is a difficult-to-treat cancer subtype in which chronic inflammation pervades the tumor immune microenvironment (TIME). Pro-inflammatory pathways dampen the response to treatments, including immune checkpoint inhibitors, necessitating therapies that target this inflammatory signaling network in the TIME. One of the lynchpins of chronic inflammation in KM-LUAD is signal transducer and activator of transcription 3 (STAT3).

Methods: Here, we tested the anti-tumor and early immunotherapeutic efficacy of TTI-101, a selective small-molecule inhibitor of canonical STAT3 signaling, in a K-rasG12D mutant lung cancer mouse model (CC-LR).

Results: Treatment of CC-LR mice with TTI-101 resulted in reduced …

Upregulation Of Delta Opioid Receptor By Meningeal Interleukin-10 Prevents Relapsing Pain, Kufreobong E Inyang, Jaewon Sim, Kimberly B Clark, Matan Geron, Karli Monahan, Christine Evans, Patrick O'Connell, Sophie Laumet, Bo Peng, Jiacheng Ma, Cobi J Heijnen, Robert Dantzer, Grégory Scherrer, Annemieke Kavelaars, Matthew Bernard, Yasser A Aldhamen, Joseph K Folger, Alexis Bavencoffe, Geoffroy Laumet

Faculty, Staff and Student Publications

Chronic pain often includes periods of transient amelioration and even remission that alternate with severe relapsing pain. While most research on chronic pain has focused on pain development and maintenance, there is a critical unmet need to better understand the mechanisms that underlie pain remission and relapse. We found that interleukin (IL)-10, a pain resolving cytokine, is produced by resident macrophages in the spinal meninges during remission from pain and signaled to IL-10 receptor-expressing sensory neurons. Using unbiased RNA-sequencing, we identified that IL-10 upregulated expression and antinociceptive activity of δ-opioid receptor (δOR) in the dorsal root ganglion. Genetic or pharmacological …

Privacy-Preserving Collaborative Population Stratification With Dynamic Algorithm And Hyperparameter Selection, Maryam Ghasemian, Lynette Hammond Gerido, Erman Ayday

Faculty, Staff and Student Publications

We present a privacy-preserving selection layer for collaborative population stratification under 𝜖-local differential privacy (LDP). Rather than fixing a single pipeline (e.g., PCA+K-Means with preset 𝐾), our framework lets parties choose among three DP pipelines: PCA→Noise, Noise→PCA, and Noise-Only, according to their resources, and has an honest-but-curious server aggregate only DP shares to automatically select the clustering algorithm (K-Means, GMM, or Hierarchical) and 𝐾 that maximize internal metrics (Silhouette, Calinski–Harabasz, Davies–Bouldin). Because selection operates on DP data, it adds no further privacy loss. On openSNP (942 samples, 28,396 SNPs), the PCA-augmented pipelines yield higher utility …

Privacy-Preserving Verification Of Ml Preprocessing Via Model Behavior Indicators, Wenbiao Li, Anisa Halimi, Jaideep Vaidya, Xiaoqian Jiang, Erman Ayday

Faculty, Staff and Student Publications

We present a privacy-preserving framework to verify whether a declared data preprocessing pipeline was correctly applied before training a machine learning model on sensitive data. The verifier has only black-box query access to the model and combines three behavior indicators: shift in prediction accuracy, Kullback-Leibler (KL) divergence between output distributions, and explanation vectors from Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP). The method requires neither the original training records nor ground-truth labels. It supports two tasks: (i) a binary decision on correctness and (ii) a multi-class diagnosis identifying which step is missing. Experiments on three tabular datasets …

Erratum: Long Non-Coding Rna Uiclm Promotes Colorectal Cancer Liver Metastasis By Acting As A Cerna For Microrna-215 To Regulate Zeb2 Expression: Erratum, Dong-Liang Chen, Yun-Xin Lu, Jia-Xing Zhang, Xiao-Li Wei, Feng Wang, Zhao-Lei Zeng, Zhi-Zhong Pan, Yun-Fei Yuan, Feng-Hua Wang, Helene Pelicano, Paul J Chiao, Peng Huang, Dan Xie, Yu-Hong Li, Huai-Qiang Ju, Rui-Hua Xu

Faculty, Staff and Student Publications

No abstract provided.

Mutation Of Conserved Mhc Class I Cytoplasmic Tyrosine Affects Cd8+ T Cell Priming, Effector Function, And Memory Response, Yimo Sun, Yitao Tang, Priscilla Ortiz, Barbara Nassif Rausseo, Barbara Pazdrak, Lama Elzohary, Arjun Katailiha, Amjad Talukder, Cassian Yee, Richard Eric Davis, Gregory Lizée

Faculty, Staff and Student Publications

The cytoplasmic domain of MHC class I (MHC-I) molecules contains a single, highly conserved tyrosine residue (Y320). In previous work, we found that mice expressing a Y320F-mutated form of H-2Kb had reduced capacity to generate Kb-restricted cytotoxic T lymphocyte (CTL) responses following viral infection, due at least in part to defects in endolysosomal trafficking of H-2Kb and antigen cross-presentation by dendritic cells (DCs). In this study, we investigated whether there are additional, post-presentation dependencies on Y320 for T cell priming. We engineered both human- and mouse-derived antigen-presenting cells (APCs) to express either wild-type MHC-I or variants of MHC-I containing Y320F …

Correction: Bronchoalveolar Lavage Cell Percentages As Diagnostic Markers Of Immune Checkpoint Inhibitor Pneumonitis, Mahnoor Mir, Felipe Soto, Pedro Antonio Amezcua Gomez, Rodrigo Del Rio Arroyo, Adarsh Suresh, Amber Su, Qiong Gan, John Stewart, Roberto Adachi, Diwakar D Balachandran, Lara Bashoura, Roberto F Casal, Burton F Dickey, George A Eapen, Scott E Evans, Horiana Grosu, Carlos A Jimenez, Julie Lin, David E Ost, Bruce F Sabath, Vickie R Shannon, Aung Naing, Jianjun Gao, Jia Wu, Karthik Suresh, Saadia A Faiz, Mehmet Altan, Ajay Sheshadri

Faculty, Staff and Student Publications

[This corrects the article DOI: 10.3389/fmed.2025.1582714.].

A Prospective Cohort Study On Stereotactic Radiotherapy In The Management Of Dural Recurrence Of Olfactory Neuroblastoma, Christopher D Goodman, Franco Demonte, Theresa P Nguyen, Adam S Garden, Catherine He Wang, Xin A Wang, Kevin Diao, Anna Lee, Jay Reddy, Amy Moreno, Michael Spiotto, Clifton D Fuller, David Rosenthal, Renata Ferrarotto, Shaan M Raza, Shirley Y Su, Andrew Warner, Ehab Hanna, Jack Phan

Faculty, Staff and Student Publications

Background: Treatment for dural recurrence of olfactory neuroblastoma (ONB) is not standardized. We assess the outcomes of stereotactic body radiotherapy (SBRT) in this population.

Methods: ONB patients with dural recurrences treated between 2013 and 2022 on a prospective registry were included. Tumor control, survival, and patient-reported quality of life were analyzed.

Results: Fourteen patients with 32 dural lesions were evaluated. Time to dural recurrence was 58.3 months. Thirty lesions (94%) were treated with SBRT to a median dose of 27 Gy in three fractions. Two patients (3 of 32 lesions; 9%) developed in-field radiographic progression, five patients (38%) experienced progression …

A Novel Automated Ct Biomarker To Predict Outcomes In Acute Ischemic Stroke: Net Water Uptake, Monica Mallavarapu, Hyun Woo Kim, Ananya Iyyangar, Sergio Salazar-Marioni, Albert J Yoo, Luca Giancardo, Sunil A Sheth, Jerome A Jeevarajan

Faculty, Staff and Student Publications

Background: Recent trials of large core thrombectomy have shown that our traditional understanding of infarct characteristics and reperfusion benefit may be incomplete for patients with acute ischemic stroke (AIS). The Alberta Stroke Program Early CT Score (ASPECTS) has wide inter-rater variability, and modern studies have also shown that reperfusion therapies can benefit some patients regardless of the ASPECTS. Reproducible imaging metrics that account for the degree of hypo-attenuation on non-contrast computed tomography (NCCT) may be better suited to guide treatments. Here, we evaluate Net Water Uptake (NWU), a novel NCCT metric that can be calculated in a rapid and automated …

Neuroprotective Role Of Ding Protein In Fetal Alcohol Spectrum Disorders And Depression, Nune Darbinian, Monica Hampe, Nana Merabova, Tamara Tatevosian-Geller, Laura Goetzl, Mary F Morrison, Gabriel Tatevosian, Malgorzata Simm, Eric Chabriere, Huaqing Zhao, Shohreh Amini, Michael E Selzer

Faculty, Staff and Student Publications

Introduction: An estimated 20% of women consume alcohol during pregnancy, and 10% of women receive antidepressants during their pregnancy. Women with depression are more likely to use alcohol (EtOH) in early pregnancy and are more likely to have a child with one of the fetal alcohol spectrum disorders (FASD). Previously, we provided evidence in rat neurons in vitro that DING phosphatase (p38SJ, a member of the DINGGG family of proteins that has neuroprotective effects under conditions of cellular stress) was neuroprotective against EtOH-mediated toxicity. Now, we examine the effects of DING, alone or in combination with EtOH and serotonergic (5-HT) …

Comb-Boin12: A Utility-Based Bayesian Optimal Interval Design For Dose Optimization In Cancer Drug-Combination Trials, Mengyi Lu, Jingyi Zhang, Ying Yuan, Ruitao Lin

Faculty, Staff and Student Publications

Drug combinations are increasingly utilized in cancer treatment to enhance drug effectiveness through synergistic therapeutic effects. However, determining the optimal biological dose combination (OBDC) in small-scale drug combination trials presents challenges due to the increased complexity of the dose space. To effectively optimize the dose combination of combined drugs, we propose a model-assisted design by extending the single-agent Bayesian optimal interval phase I/II (BOIN12) design. Our approach incorporates a utility function to balance the trade-off between risk and benefit and directly models the utility of each dose by constructing a quasi-beta-binomial model. A key advantage of our design is the …

Stim1 And Lipid Interactions At Er-Pm Contact Sites, Yuepeng Ke, Ritchel Gannaban, Junchen Liu, Yubin Zhou

Faculty, Staff and Student Publications

Store-operated calcium (Ca2+) entry (SOCE) represents a major route of Ca2+ permeation across the plasma membrane (PM) in non-excitable cells, which plays an indispensable role in maintaining intracellular Ca2+ homeostasis. This process is orchestrated through the dynamic coupling between the endoplasmic reticulum (ER)-localized Ca2+ sensor stromal interaction molecule 1 (STIM1) and the PM-resident ORAI1 channel. Upon depletion of ER Ca2+ stores, STIM1 undergoes conformational rearrangements and oligomerization, leading to translocation of STIM1-containing ER membrane towards the PM. This movement is facilitated by the physical interaction between positively charged cytosolic domains within STIM1 and negatively charged phospholipids embedded in the PM, …