Digital Commons Network^™

Cardiac Timing Effects On Response Speed Are Modulated By Blood Pressure But Not Heart Rate Variability In Healthy Young Adults, Xiao Yang, Catalina Roldan, Michael Gazzanigo, Yasmine Nabulsi, Fang Fang

Research and Infrastructure Service Enterprise (RISE) Faculty Publications

Cardiac timing effects reflect the dynamic interplay between interoceptive and exteroceptive processes. Human information processing tends to be facilitated during cardiac diastole and inhibited during systole, reflecting autonomic regulation and the neuromodulation by baroreceptor afferents. Thus, blood pressure (BP) and vagally-mediated heart rate variability (vmHRV) are potential modulators of those effects. Additionally, cognitive control appears to play a critical role in the processes. However, whether cardiac timing effects are influenced by those factors remains unclear. The present study aimed to clarify these relationships. Fifty-one healthy young adults completed three experimental sessions to assess BP, short-term HRV, and cardiac timing effects. …

Use Of Machine Learning Models To Predict Microaspiration Measured By Tracheal Pepsin A., Annette Bourgault, Ilana Logvinov, Chang Liu, Rui Xie, Jan Powers Phd, Rn, Ccrn, Mary Lou Sole

Nursing Publications, Posters, & Presentations

BACKGROUND: Enteral feeding intolerance, a common type of gastrointestinal dysfunction leading to underfeeding, is associated with increased mortality. Tracheal pepsin A, an indicator of microaspiration, was found in 39% of patients within 24 hours of enteral feeding. Tracheal pepsin A is a potential biomarker of enteral feeding intolerance.

OBJECTIVE: To identify predictors of microaspiration (tracheal or oral pepsin A). It was hypothesized that variables predicting the presence of tracheal pepsin A might be similar to predictors of enteral feeding intolerance.

METHODS: In this secondary analysis, machine learning models were fit for 283 adults receiving mechanical ventilation who had tracheal and …

A Serum Biomarker Panel And Miniarray Detection System For Tracking Disease Activity And Flare Risk In Lupus Nephritis, Chenling Tang, Gongjun Tan, Aygun Teymur, Jiechang Guo, Arturo Haces-Garcia, Weihang Zhu, Richard Williams, Jing Ning, Ramesh Saxena, Tianfu Wu

Faculty, Staff and Student Publications

Introduction: Lupus nephritis (LN) leads to end stage renal disease (ESRD), and early diagnosis and disease monitoring of LN could significantly reduce the risk. however, there is not such a system clinically. In this study we aim to develop a biomarker-panel based point-of-care system for LN.

Methods: Immunoassay screening combined with genomic expression databases and machine learning techniques was used to identify a biomarker panel of LN. A quantitative biomarker-panel mini-array (BPMA) system was developed and the sensitivity, specificity, reproducibility, and stability of the were examined. The performance of BPMA in disease monitoring was validated with machine models using a …

Magnetization Transfer Ratio In The Typically Developing Pediatric Spinal Cord: Normative Data And Age Correlation, Sara Naghizadeh Kashani, Iswarya Vel, Zahra Sadeghi Adl, Shiva Shahrampour, Devon Middleton, Mahdi Alizadeh, Laura Krisa, Scott Faro, Slimane Tounekti, Julien Cohen-Adad, Feroze Mohamed

Department of Radiology Faculty Papers

BACKGROUND AND PURPOSE: This study presents automated atlas-based magnetization transfer (MT) measurements of the typically developing pediatric cervical spinal cord (SC). We report normative MT ratio (MTR) values from the whole cervical cord white matter (WM) and WM tracts, examining variations with age, sex, height, and weight.

METHODS: MT scans of 33 healthy females (mean age = 12.8) and 22 males (mean age = 13.09) were acquired from the cervical SC (C2-C7) using a 3.0 T MRI. Data were processed using the SC Toolbox, segmented, and registered to the PAM50 template. Affine and non-rigid transformations co-registered the PAM50 WM atlas …

Type 2 Diabetes Polygenic Risk Score Interactions With Lifestyle Risk Factors In Black Americans, Ashley W Scadden, Aastha Kakar, Elizabeth M Litkowski, Mariah C Meyer, Nicole D Armstrong, Steven Buyske, Yanwei Cai, Iona Cheng, Burcu F Darst, Myriam Fornage, Mariaelisa Graff, Boya Guo, Christopher A Haiman, Heather M Highland, Charles Kooperberg, Loïc Le Marchand, Kari North, Ulrike Peters, Stephen S Rich, Jerome I Rotter, Vinodh Srinivasasainagendra, Hemant K Tiwari, Stephanie Waldrop, Kristin Young, Sridharan Raghavan, Ethan M Lange, Leslie A Lange, Marguerite R Irvin, Maggie A Stanislawski

The Brown Foundation: Institute of Molecular Medicine

Introduction: Prior work in predominantly European ancestry populations has explained how the risk associated with demographic, lifestyle, and health factors differs with underlying genetic susceptibility to type 2 diabetes (T2D), but less is known about these relationships in Black Americans.

Methods: We used covariate-adjusted logistic regression models of T2D to examine interactions between a published trans-ancestry derived T2D polygenic risk score (PRS) and various demographic, lifestyle, and health-related factors among 28,251 self-identified Black Americans from six cohort studies.

Results: The results are generally consistent with prior work in White populations. The PRS showed a significant interaction with body mass index, …

Mechanisms And Environmental Factors Shaping The Ecosystem Of Brain Macrophages, Silvia Penati, Simone Brioschi, Zhangying Cai, Claudia Z Han, Marco Colonna

The Brown Foundation: Institute of Molecular Medicine

Brain macrophages encompass two major populations: microglia in the parenchyma and border-associated macrophages (BAMs) in the extra-parenchymal compartments. These cells play crucial roles in maintaining brain homeostasis and immune surveillance. Microglia and BAMs are phenotypically and epigenetically distinct and exhibit highly specialized functions tailored to their environmental niches. Intriguingly, recent studies have shown that both microglia and BAMs originate from the same myeloid progenitor during yolk sac hematopoiesis, but their developmental fates diverge within the brain. Several works have partially unveiled the mechanisms orchestrating the development of microglia and BAMs in both mice and humans; however, many questions remain unanswered. …

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 …

Rbd Amplicon Sequencing And Evolutionary Analysis Of Sars-Cov-2 Variants From Wastewater Samples, Xingwen Chen, Chunfu Zheng, Fuqing Wu

Faculty, Staff and Student Publications

The surveillance of SARS-CoV-2 is significantly limited by the presence of numerous variants with distinct behaviors driven by rapid evolution. Although the conventional clinical genome sequencing method provides comprehensive data, it has limitations in capturing the epidemiological dynamics of the variants circulating in the community. In this chapter, we describe a protocol using RBD amplicon sequencing of wastewater samples. We present the detailed experimental procedure for wastewater sample processing, robust nested-PCR-based amplification of the target RBD sequence, and library preparation. Moreover, we describe a general pipeline of sequencing data processing and interpretation, showing the epidemiological and evolutionary trends of SARS-CoV-2 …

A Directed Content Analysis For Greatest Problems Among People With And Without Traumatic Brain Injury, Emily Dudek, Michael W Williams, Chung Lin Novelle Kew, Annalyn Demello, Brittany Wright, Alexandra B Holland, Alyssa Day-Gorman, Alexa S Gonzalez, Luis Leon Novelo, Xiangyi Liu, Shannon B Juengst

Faculty, Staff and Student Publications

Objective: To characterize the greatest problem or need among individuals with a history of traumatic brain injury (TBI), as compared with individuals with a history of other neurologic conditions, mental health conditions, and no history of neurologic or mental health conditions.

Design: A directed content analysis of open-text responses to a single online survey question using a framework guided by the Mayo-Portland Adaptability Inventory-4.

Setting: Community.

Participants: A total of 2861 community-dwelling adults (n=274 with TBI; n=289 with other neurologic conditions besides TBI; n=454 with mental health conditions but no neurologic conditions; and n=1844 controls).

Interventions: Not applicable.

Main outcome …

Gramseq-Dta: A Grammar-Based Drug-Target Affinity Prediction Approach Fusing Gene Expression Information, Kasul Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug–target affinity (DTA) prediction is a critical aspect of drug discovery. The meaningful representation of drugs and targets is crucial for accurate prediction. Using 1D string-based representations for drugs and targets is a common approach that has demonstrated good results in drug–target affinity prediction. However, these approach lacks information on the relative position of the atoms and bonds. To address this limitation, graph-based representations have been used to some extent. However, solely considering the structural aspect of drugs and targets may be insufficient for accurate DTA prediction. Integrating the functional aspect of these drugs at the genetic level can enhance …

Cath-Ddg: Towards Robust Mutation Effect Prediction On Protein-Protein Interactions Out Of Cath Homologous Superfamily, Guanglei Yu, Xuehua Bi, Teng Ma, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation: Protein-protein interactions (PPIs) are fundamental aspects in understanding biological processes. Accurately predicting the effects of mutations on PPIs remains a critical requirement for drug design and disease mechanistic studies. Recently, deep learning models using protein 3D structures have become predominant for predicting mutation effects. However, significant challenges remain in practical applications, in part due to the considerable disparity in generalization capabilities between easy and hard mutations. Specifically, a hard mutation is defined as one with its maximum TM-score < 0.6 when compared to the training set. Additionally, compared to physics-based approaches, deep learning models may overestimate performance due to potential data leakage.

Results: We propose new training/test splits that mitigate data leakage according to the CATH homologous superfamily. Under the constraints of physical …

Coldstartcpi: Induced-Fit Theory-Guided Dti Predictive Model With Improved Generalization Performance, Qichang Zhao, Haochen Zhao, Linyuan Gao, Kai Zheng, Yajie Li, Qiao Ling, Jing Tang, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Predicting compound-protein interactions (CPIs) plays a crucial role in drug discovery. Traditional methods, based on the key-lock theory and rigid docking, often fail with novel compounds and proteins due to their inability to account for molecular flexibility and the high sparsity of CPI data. Here, we introduce ColdstartCPI, a framework inspired by induced-fit theory, which leverages unsupervised pre-training features and a Transformer module to learn both compound and protein characteristics. ColdstartCPI treats proteins and compounds as flexible molecules during inference, aligning with biological insights. It outperforms state-of-the-art sequence-based models, particularly for unseen compounds and proteins, and shows strong generalization capability …

A Survey On Deep Learning For Drug-Target Binding Prediction: Models, Benchmarks, Evaluation, And Case Studies, Kusal Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Conventional drug discovery is expensive, time-consuming, and prone to failure. Artificial intelligence has become a potent substitute over the last decade, providing strong answers to challenging biological issues in this field. Among these difficulties, drug-target binding (DTB) is a key component of drug discovery techniques. In this context, drug-target affinity and drug–target interaction are complementary and essential frameworks that work together to improve our comprehension of DTB dynamics. In this work, we thoroughly analyze the most recent deep learning models, popular benchmark datasets, and assessment metrics for DTB prediction. We look at the paradigm shift in the development of drug …

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 …

Dedifferentiated Liposarcomas Treated With Immune Checkpoint Blockade: The Md Anderson Experience, Madeline B Torres, Cheuk Hong Leung, Marianne Zoghbi, Rossana Lazcano, Davis Ingram, Khalida Wani, Emily Z Keung, M Alejandra Zarzour, Christopher P Scally, Kelly K Hunt, Anthony Conley, Andrew J Bishop, B Ashleigh Guadagnolo, Ahsan Farooqi, Devarati Mitra, Alison K Yoder, Michael S Nakazawa, Dejka Araujo, Andrew Livingston, Ravin Ratan, Shreyaskumar Patel, Vinod Ravi, Alexander J Lazar, Christina L Roland, Neeta Somaiah, Elise F Nassif Haddad

Faculty, Staff and Student Publications

Background: Dedifferentiated liposarcoma (DDLPS) is one of the most common types of soft tissue sarcoma (STS) characterized by liposarcomatous differentiation and a predilection for the retroperitoneum. Despite the growing number of histology-specific immune checkpoint blockade (ICB) trials in STS, it is still difficult to identify the radiographic objective response rate (ORR) for DDLPS in the real world setting. This study aimed to evaluate the ORR and survival of patients with DDLPS treated with ICB at a single center.

Methods: We conducted a retrospective study of 31 patients with pathologically confirmed DDLPS treated with ICB at MD Anderson Cancer Center between …

Inhibition Of Nitric Oxide Synthase Transforms Carotid Occlusion-Mediated Benign Oligemia Into De Novo Large Cerebral Infarction, Ha Kim, Jinyong Chung, Jeong Wook Kang, Dawid Schellingerhout, Soo Ji Lee, Hee Jeong Jang, Inyeong Park, Taesu Kim, Dong-Seok Gwak, Ji Sung Lee, Sung-Ha Hong, Kang-Hoon Je, Hee-Joon Bae, Joohon Sung, Eng H Lo, James Faber, Cenk Ayata, Dong-Eog Kim

Faculty, Staff and Student Publications

No abstract provided.

The Importance Of Solution Studies For The Structural Characterization Of The Enterovirus 5' Cloverleaf, Morgan G. Daniels, Meagan E. Werner, Xiaobing Zuo, Steven M. Pascal

Chemistry & Biochemistry Faculty Publications

Enteroviruses initiate genomic replication via a highly conserved mechanism that is controlled by an RNA platform, also known as the 5' cloverleaf (5'CL). Here, we present a biophysical analysis of the 5'CL conformation of three enterovirus serotypes under various ionic conditions, utilizing CD spectroscopy, size-exclusion chromatography, and small-angle X-ray scattering. In general, a tendency toward a smaller monomeric hydrodynamic radius in the presence of salts was observed, but the exact structural signature of each 5'CL varied depending upon the serotype. Rhinovirus B14 (RVB14) exhibited at least two monomeric conformations and a low propensity for dimerization, while poliovirus 1 (PV1) showed …

Psychometric Evaluation Of A Novel Measure Of Trauma-Related Cannabis Use To Cope, Sage E. Hawn, Terrell A. Hicks, Christopher Latourrette, Anita Thomas, Daniela Chaname, Sarah Ehlke, Abigail Powers Lott

Psychology Faculty Publications

Background: Posttraumatic stress disorder (PTSD) and cannabis use disorder (CUD) are commonly comorbid and are associated with many negative public health outcomes. One plausible explanation for this comorbidity comes from a self-medication framework, which suggests people use cannabis to cope with PTSD symptoms. Despite theoretical and empirical evidence for PTSD-related cannabis use to cope, no measure of this construct exists.

Objective: We sought to address this gap by developing and validating a novel measure of PTSD-specific cannabis self-medication, which we have termed the Trauma-Related Cannabis Use to Cope (TRCU) questionnaire.

Method: The psychometric properties of the TRCU and how it …

Parent Ptsd, Social Support And Differential Associations With Facets Of Anxiety Sensitivity, Kristen Bermingham, Christopher Latourrette, Karen G. Chartier, Spit For Science Working Group, Ananda B. Amstadter, Kaitlin Bountress

Psychology Faculty Publications

Background: Anxiety Sensitivity (AS), the belief that anxiety experiences have negative implications, is a prospective predictor of posttraumatic stress disorder (PTSD) and has been linked to changes in PTSD in experimental studies. AS is comprised of three sub-components: cognitive, physical, and social concerns. PTSD is moderately heritable and parental PTSD may increase risk for these AS facets both directly and through environmental influences like reduced social support.

Objective: The present study will examine whether Parent PTSD is associated with reduced social support and in turn facets of AS.

Method: Participants were recruited from an ongoing longitudinal study of college student …

Neutrophils Unveiled In Chronic Lymphocytic Leukemia, Sheighlah Mcmanus, Priyanka Khare, Maria Teresa S Bertilaccio

Faculty, Staff and Student Publications

This review explores neutrophils' roles in chronic lymphocytic leukemia (CLL), highlighting their functions within the immune system. While neutrophils are known for fighting infections, their altered behavior in CLL significantly impacts disease progression. This review notes the reduced phagocytic abilities of neutrophils and the increased formation of neutrophil extracellular traps (NETs) in patients with CLL. It also examines the effects of CLL treatments, including chemotherapy, immunotherapy and targeted therapies, on neutrophils' count and function, stressing the need for improved strategies to manage therapy-induced immune dysfunction. This review also provides detailed information about the interactions between neutrophils and other immune elements …

Nutritional Management Of The Child With Chronic Kidney Disease And On Dialysis., Vanessa Shaw, Caroline Anderson, An Desloovere, Larry A. Greenbaum, Lyndsay Harshman, Christina L. Nelms, Pearl Pugh, Nonnie Polderman, José Renken-Terhaerdt, Evelien Snauwaert, Stella Stabouli, Jetta Tuokkola, Johan Vande Walle, Bradley A. Warady, Fabio Paglialonga, Rukshana Shroff

Manuscripts, Articles, Book Chapters and Other Papers

While it is widely accepted that the nutritional management of the infant with chronic kidney disease (CKD) is paramount to achieve normal growth and development, nutritional management is also of importance beyond 1 year of age, particularly in toddlers, to support the delayed infantile stage of growth that may extend to 2-3 years of age. Puberty is also a vulnerable period when nutritional needs are higher to support the expected growth spurt. Inadequate nutritional intake throughout childhood can result in failure to achieve full adult height potential, and there is an increased risk for abnormal neurodevelopment. Conversely, the rising prevalence …

International Multicenter Retrospective Study From The Ultra-Rare Sarcoma Working Group On Low-Grade Fibromyxoid Sarcoma, Sclerosing Epithelioid Fibrosarcoma, And Hybrid Forms: Outcome Of Primary Localized Disease, Claudia Giani, Abdulazeez Salawu, Silva Ljevar, Ryan A Denu, Andrea Napolitano, Emanuela Palmerini, Elizabeth A Connolly, Koichi Ogura, Daniel D Wong, Roberto Scanferla, Evan Rosenbaum, Jyoti Bajpai, Zola Chia-Chen Li, Susie Bae, Lorenzo D'Ambrosio, Steve Bialick, Andrew J Wagner, Alexander T J Lee, Hanna Koseła-Paterczyk, Giacomo G Baldi, Antonella Brunello, Yeh Chen Lee, Herbert H Loong, Sosipatros Boikos, Fernando Campos, Carlo M Cicala, Robert G Maki, Nadia Hindi, Costanza Figura, Shahd S Almohsen, Sheyaskumar Patel, Robin L Jones, Toni Ibrahim, Rooshdiya Karim, Akira Kawai, Richard Carey-Smith, Richard Boyle, Silvia M Taverna, Alexander J Lazar, Elizabeth G Demicco, Judith V M G Bovee, Angelo P Dei Tos, Christopher Fletcher, Daniel Baumhoer, Marta Sbaraglia, Inga-Marie Schaefer, Rosalba Miceli, Alessandro Gronchi, Silvia Stacchiotti

Faculty, Staff and Student Publications

The aim of the study was to report the outcome of primary localized low-grade fibromyxoid sarcoma (LGFMS), sclerosing epithelioid fibrosarcoma (SEF), and hybrid LGFMS/SEF (H-LGFMS/SEF). Patients with primary localized LGFMS, SEF, or H-LGFMS/SEF, surgically treated with curative intent from January 2000 to September 2022, were enrolled from 14 countries and 27 institutions. Pathologic inclusion criteria were predefined by expert pathologists. The primary endpoint was overall survival (OS). Secondary endpoints were crude cumulative incidence (CCI) of local recurrence (LR), CCI of distant metastases (DM), and post-metastases OS (p-OS). Two hundred ninety-four patients (239 LGFMS, 32 SEF, and 23 H-LGFMS/SEF) were identified. …

Histopathologic Progression And Metastatic Relapse Outcomes In Small Cell Neuroendocrine Carcinomas Of The Urinary Tract, Mohammad Jad Moussa, Georges C Tabet, Arlene O Siefker-Radtke, Lianchun Xiao, Nathaniel R Wilson, Jianjun Gao, Christopher J Logothetis, Petros Grivas, Byron Lee, Amishi Y Shah, Pavlos Msaouel, Roger Li, Leticia Campos Clemente, Jianping Zhao, Nizar M Tannir, Ashish M Kamat, Donna E Hansel, Charles C Guo, Matthew T Campbell, Omar Alhalabi

Faculty, Staff and Student Publications

Introduction: Small cell neuroendocrine carcinoma of the urinary tract (SCNEC-URO) has an inferior prognosis compared to conventional urothelial carcinoma (UC). Here, we evaluate the predictors and patterns of relapse after surgery.

Materials and methods: We identified a definitive-surgery cohort (n = 224) from an institutional database of patients with cT1-T4NxM0 SCNEC-URO treated in 1985-2021. Histopathologic review was conducted by independent pathologists. Relapse event was the time-to-event outcome, and relapse probabilities were estimated using a competing risk method with cumulative incidence functions (CIFs). Fine-Gray distribution models assessed covariate associations.

Results: Most patients (161, 71.9%) received neoadjuvant chemotherapy (neoCTX). Ninety two (41%) …

Outcomes Of Patients Treated With Chemotherapy For Breast Cancer During Pregnancy Compared With Nonpregnant Breast Cancer Patients Treated With Systemic Therapy, Helen M Johnson, Juhee Song, Carla L Warneke, Ashley L Martinez, Jennifer K Litton, Oluchi C Oke

Faculty, Staff and Student Publications

Introduction: Prior studies of patients treated for breast cancer during pregnancy (PrBC) report mixed outcomes and are limited by substandard treatment, small cohorts, and short follow-up. This study compared survival outcomes of PrBC patients treated with chemotherapy during pregnancy with nonpregnant patients matched by age, year of diagnosis, stage, and subtype.

Methods: PrBC patients treated from 1989 to 2022 on prospective institutional protocols were eligible. Disease-free survival (DFS), overall survival (OS), and progression-free survival (PFS) were estimated using the Kaplan-Meier method and multivariable Cox proportional hazards regression.

Results: Among 143 PrBC and 285 nonpregnant patients, median follow-up was 11.4 years. …

Outcomes With Bridging Radiation Therapy Prior To Chimeric Antigen Receptor T-Cell Therapy In Patients With Aggressive Large B-Cell Lymphomas, Gohar S Manzar, Chelsea C Pinnix, Stephanie O Dudzinski, Kathryn E Marqueen, Elaine E Cha, Lewis F Nasr, Alison K Yoder, Michael K Rooney, Paolo Strati, Sairah Ahmed, Chijioke Nze, Ranjit Nair, Luis E Fayad, Michael Wang, Loretta J Nastoupil, Jason R Westin, Christopher R Flowers, Sattva S Neelapu, Jillian R Gunther, Bouthaina S Dabaja, Susan Y Wu, Penny Q Fang

Faculty, Staff and Student Publications

Background: Select patients with relapsed/refractory aggressive B cell lymphoma may benefit from bridging radiation (bRT) prior to anti-CD19-directed chimeric antigen receptor T cell therapy (CAR-T). Here, we examined patient and treatment factors associated with outcomes and patterns of failure after bRT and CAR-T.

Methods: We retrospectively reviewed adults with diffuse large B-cell lymphoma (DLBCL) who received bRT prior to axicabtagene ciloleucel, tisagenlecleucel, or lisocabtagene maraleucel between 11/2017-4/2023. Clinical/treatment characteristics, response, and toxicity were extracted. Survival was modeled using Kaplan-Meier or Cox regression models for events distributed over time, or binary logistic regression for disease response. Fisher's Exact Test or Mann-Whitney …

Relationship Between Trpm4 Rs8104571 Genotype, Circulating Trpm4 And Sur1, And Clinical Outcome Following Traumatic Brain Injury, Joseph D Krocker, Madeline E Cotton, Janet R Ashley, Jacob B Schriner, Baron K Osborn, Yao-Wei Willa Wang, Charles S Cox, Charles E Wade

Faculty, Staff and Student Publications

The variant single nucleotide polymorphism rs8104571 has been associated with poor outcomes following traumatic brain injury (TBI) and is most prevalent in those of African ancestry. This single nucleotide polymorphism (SNP) resides within a gene coding for the TRPM4 protein, which complexes with SUR1 protein to create a transmembrane ion channel and is believed to contribute to cellular swelling and cell death in neurological tissue. Our study evaluates the relationship between circulating TRPM4 and SUR1, rs8104571 genotype, and clinical outcome in TBI patients. Trauma patients with moderate to severe TBI were included in this retrospective study. rs8104571 genotyping and admission …

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 …

Keygan: Synthetic Keystroke Data Generation In The Context Of Digital Phenotyping, Alejandro Acien, Aythami Morales, Luca Giancardo, Ruben Vera-Rodriguez, Ashley A Holmes, Julian Fierrez, Teresa Arroyo-Gallego

Faculty, Staff and Student Publications

Objective: This paper aims to introduce and assess KeyGAN, a generative modeling-based keystroke data synthesizer. The synthesizer is designed to generate realistic synthetic keystroke data capturing the nuances of fine motor control and cognitive processes that govern finger-keyboard kinematics, thereby paving the way to support biomarker development for psychomotor impairment due to neurodegeneration.

Methods: KeyGAN is designed with two primary objectives: (i) to ensure high realism in the synthetic distributions of the keystroke features and (ii) to analyze its ability to replicate the subtleties of natural typing for enhancing biomarker development. The quality of synthetic keystroke data produced by KeyGAN …

Safety Of Indocyanine Green Microdosing For Clinical Imaging Of Csf Ventricular Dynamics And Extracranial Outflow, Miriam Zamorano, Banghe Zhu, Ahmed T Massoud, Jonathan Hendricks, H Alex Choi, Pedram Peesh, Brandon A Miller, Xinhai Robert Zhang, Manish N Shah, Eva M Sevick-Muraca

Faculty, Staff and Student Publications

Background and purpose: Intravenous administration of indocyanine green (ICG) has been approved in brain surgeries for decades, yet concerns about neurotoxicity prevent its direct administration into the cerebrospinal fluid (CSF). Armed with prior animal studies demonstrating the feasibility of using ICG microdosing into the CSF, we sought to evaluate its nonclinical safety profile and obtain surrogate measures in adults prior to its use in human neonates.

Methods: Evaluation of ICG toxicity was conducted in mixed primary CNS cell cultures and in an extended safety study of juvenile rat pups deploying intraventricular injections of saline (as control) or ICG. Analysis of …