Medical Specialties Commons^™

Periclavicular Multifocal, Infiltrative Extraneural Soft Tissue Perineuriomas: Illustrative Case, Ankur Khanna, Matthew Darlow, Rachna Jetly Shridhar, Matthew G. Cable

School of Medicine Faculty Publications

BACKGROUND Perineuriomas are benign, typically solitary tumors with intraneural and extraneural subtypes presenting distinct clinical manifestations and symptomatology. Here, the authors report a unique case of multifocal, infiltrative extraneural soft tissue perineuriomas localized to the shoulder. OBSERVATIONS A 33-year-old female presented with 1 year of right neck and shoulder pain accompanied by a new onset of numbness and tingling down her right arm. MRI of a mass apparent over her right trapezius and scapula revealed several mixed cystic and solid neoplasms encroaching on the C5–6 nerve roots and brachial plexus. The tumors were biopsied and confirmed by immunohistochemical staining to …

Treatment Group-Specific Inferences In Phase Iii Randomized Oncology Trials, Alexander D Sherry, Adina H Passy, Joseph Abi Jaoude, Timothy A Lin, Ramez Kouzy, Pavlos Msaouel, Ethan B Ludmir

Faculty, Staff and Student Publications

Background: Estimation of comparative treatment effects between randomized groups is well-supported in randomized trials. By contrast, treatment group-specific inferences are challenging, as patients are selectively chosen for enrollment, and such inferences are formally discouraged by the CONSORT guidelines. The present study is the first-large scale assessment of the proportion of phase III oncology trials that present treatment group-specific inferences.

Methods: Published phase III randomized oncology trials were screened from ClinicalTrials.gov. Treatment group-specific inferences were defined by the presence of 95% CI or standard error for treatment-specific outcomes.

Results: A total of 774 phase III trials enrolling 568,080 patients were included. …

A Workflow Enabling The Automated Synthesis, Chain-End Degradation, And Rapid Mass Spectrometry Analysis For Molecular Information Storage In Sequence-Defined Oligourethanes, Julia R Shuluk, Christopher D Wight, James R Howard, Mary E King, Sarah R Moor, Rachel J Dehoog, Samuel D Dahlhauser, Livia S Eberlin, Eric V Anslyn

Faculty, Staff and Students Publications

The field of molecular information storage has recently expanded to include abiotic sequence-defined polymers. While robust methods have been developed, there is a current bottleneck in the throughput of this work as information density is increased. Herein, we introduce an automated workflow in which a commercial peptide synthesizer composed of a single XYZ liquid-handling robot was adapted to both synthesize and sequence sequence-defined oligourethanes. Our sequencing method was improved to cut down the number of samples required for each oligomer from 13 to one. Additionally, we introduce the use of desorption electrospray ionization mass spectrometry as our analysis method for …

Rare Damaging Ccr2 Variants Are Associated With Lower Lifetime Cardiovascular Risk, Marios K Georgakis, Rainer Malik, Omar El Bounkari, Natalie R Hasbani, Jiang Li, Jennifer E Huffman, Gabrielle Shakt, Reinier W P Tack, Tamara N Kimball, Yaw Asare, Alanna C Morrison, Noah L Tsao, Renae Judy, Braxton D Mitchell, Huichun Xu, May E Montasser, Ron Do, Eimear E Kenny, Ruth J F Loos, James G Terry, John Jeffrey Carr, Joshua C Bis, Bruce M Psaty, W T Longstreth, Kendra A Young, Sharon M Lutz, Michael H Cho, Jai Broome, Alyna T Khan, Fei Fei Wang, Nancy Heard-Costa, Sudha Seshadri, Ramachandran S Vasan, Nicholette D Palmer, Barry I Freedman, Donald W Bowden, Lisa R Yanek, Brian G Kral, Lewis C Becker, Patricia A Peyser, Lawrence F Bielak, Farah Ammous, April P Carson, Michael E Hall, Laura M Raffield, Stephen S Rich, Wendy S Post, Russel P Tracy, Kent D Taylor, Xiuqing Guo, Michael C Mahaney, Joanne E Curran, John Blangero, Shoa L Clarke, Jeffrey W Haessler, Yao Hu, Themistocles L Assimes, Charles Kooperberg, Jürgen Bernhagen, Christopher D Anderson, Scott M Damrauer, Ramin Zand, Jerome I Rotter, Paul S De Vries, Martin Dichgans

Faculty, Staff and Student Publications

BACKGROUND: Previous work has shown a role of CCL2, a key chemokine governing monocyte trafficking, in atherosclerosis. However, it remains unknown whether targeting CCR2, the cognate receptor of CCL2, provides protection against human atherosclerotic cardiovascular disease.

METHODS: Computationally predicted damaging or loss-of-function (REVEL > 0.5) variants within CCR2 were detected in whole-exome-sequencing data from 454,775 UK Biobank participants and tested for association with cardiovascular endpoints in gene-burden tests. Given the key role of CCR2 in monocyte mobilization, variants associated with lower monocyte count were prioritized for experimental validation. The response to CCL2 of human cells transfected with these variants was tested …

Non-Canonical Splice Variants In Thoracic Aortic Dissection Cases And Marfan Syndrome With Negative Genetic Testing, David R Murdock, Dong-Chuan Guo, John S Depaolo, Ulrike Schwarze, Xue-Yan Duan, Alana C Cecchi, Isabella C Marin, Yingying Tang, Jessica X Chong, Michael J Bamshad, Kathleen A Leppig, Peter H Byers, Scott M Damrauer, Dianna M Milewicz

Faculty, Staff and Student Publications

Individuals with heritable thoracic aortic disease (HTAD) face a high risk of deadly aortic dissections, but genetic testing identifies causative variants in only a minority of cases. We explored the contribution of non-canonical splice variants (NCVAS) to thoracic aortic disease (TAD) using SpliceAI and sequencing data from diverse cohorts, including 551 early-onset sporadic dissection cases and 437 HTAD probands with exome sequencing, 57 HTAD pedigrees with whole genome sequencing, and select sporadic cases with clinical panel testing. NCVAS were identified in syndromic HTAD genes such as FBN1, SMAD3, and COL3A1, including intronic variants in FBN1 in two Marfan syndrome (MFS) …

Dna-Pk Inhibition Sustains The Antitumor Innate Immune Response In Small Cell Lung Cancer, Caterina De Rosa, Floriana Morgillo, Luisa Amato, Francesca Iommelli, Viviana De Rosa, Virginia Tirino, Federica Papaccio, Concetta Tuccillo, Gaetano Di Guida, Domenico Michele D'Angiolella, Alessandra Di Liello, Silvia Zappavigna, Michele Caraglia, Antonio Gambardella, Valerio Nardone, Kavya Ramkumar, Qi Wang, Jing Wang, Ferdinando De Vita, Davide Ciardiello, Erika Martinelli, Teresa Troiani, Stefania Napolitano, Giulia Martini, Alberto Servetto, Lauren Averett Byers, Fortunato Ciardiello, Carminia Maria Della Corte

Faculty, Staff and Student Publications

Small cell lung cancer (SCLC) is a highly aggressive form of lung cancer with limited treatment options. Patients often respond well to initial chemo-immunotherapy but relapse quickly, necessitating new strategies to enhance immune responsiveness. Recent research explores combining DNA-damaging therapies with immunotherapy to activate the STING pathway and improve the antitumor immune response. The addition of DNA Damage Repair (DDR) inhibitors, such as DNA-PKcs inhibitors, after chemotherapy has shown promise in activating innate immune sensors and enhancing CD8

Trajectories Of Forced Vital Capacity In Patients With Systemic Sclerosis-Associated Interstitial Lung Disease, Oliver Distler, Madelon C Vonk, Arata Azuma, Maureen D Mayes, Dinesh Khanna, Kristin B Highland, Gerrit Toenges, Margarida Alves, Yannick Allanore

Faculty, Staff and Student Publications

We used data from the SENSCIS and SENSCIS-ON trials to assess decline in forced vital capacity (FVC) in patients with systemic sclerosis-associated interstitial lung disease (SSc-ILD) who received long-term treatment with nintedanib and the effect of switching patients from placebo to nintedanib. In the SENSCIS trial, patients were randomised to receive nintedanib or placebo until the last patient reached week 52 but for ≤ 100 weeks. In SENSCIS-ON, the extension to SENSCIS, all patients received open-label nintedanib. Per protocol, the off-treatment period between these trials was ≤ 12 weeks. We assessed the trajectory of FVC in patients who received nintedanib …

Dependence Of Mitochondrial Calcium Signalling And Dynamics On The Disaggregase, Clpb, Donato D'Angelo, Víctor H. Sánchez-Vázquez, Benjamín Cartes-Saavedra, Denis Vecellio Reane, Ryan R. Cupo, Hilda Delgado De La Herran, Giorgia Ghirardo, James Shorter, Ron A. Wevers, Saskia B. Wortmann, Fabiana Perocchi, Rosario Rizzuto, Anna Raffaello, György Hajnóczky

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Cells utilize protein disaggregases to avoid abnormal protein aggregation that causes many diseases. Among these, caseinolytic peptidase B protein homolog (CLPB) is localized in the mitochondrial intermembrane space and linked to human disease. Upon CLPB loss, MICU1 and MICU2, regulators of the mitochondrial calcium uniporter complex (mtCU), and OPA1, a main mediator of mitochondrial fusion, become insoluble but the functional outcome remains unclear. In this work we demonstrate that CLPB is required to maintain mitochondrial calcium signalling and fusion dynamics. CLPB loss results in altered mtCU composition, interfering with mitochondrial calcium uptake independently of cytosolic calcium and mitochondrial membrane potential. …

Islet Single-Cell Transcriptomic Profiling During Obesity-Induced Beta Cell Expansion In Female Mice, Peter M Masschelin, Scott A Ochsner, Sean M Hartig, Neil J Mckenna, Aaron R Cox

Faculty, Staff and Student Publications

Targeting beta cell proliferation is an appealing approach to restore glucose control in type 1 diabetes. However, the underlying mechanisms of beta cell proliferation remain incompletely understood, limiting identification of new therapeutic targets. Obesity is a naturally occurring process that potently induces human and rodent beta cell replication, representing an ideal model to study mechanisms of beta cell proliferation. We showed previously acute whole-body

Protocol For Unlocking Alternative Polyadenylation Insights From Bulk Rna-Seq Data With Polyaminer-Bulk, Venkata Jonnakuti, Sriya Jonnakuti, Hari Krishna Yalamanchili

Duncan NRI Faculty and Staff Publications

PolyAMiner-Bulk, a deep-learning-based algorithm to decode alternative polyadenylation (APA) dynamics from bulk RNA sequencing (RNA-seq) data, enables scientists to identify and quantify APA events from processed bulk RNA-seq data. The protocol allows researchers to explore differential APA usage between two conditions and gain a better understanding of post-transcriptional regulatory mechanisms. The major steps involve input data preparation, executing PolyAMiner-Bulk, and interpreting the results. A basic familiarity with pre-processing bulk RNA-seq data and command-line tools is suggested.

For complete details on the use and execution of this protocol, please refer to Jonnakuti et al.¹

Antimicrobial Performance Of A Novel Drug-Eluting Bioenvelope, Zerelda Esquer Garrigos, Sunil Kapur, Michelle Leroux Williams, M Rizwan Sohail

Faculty, Staff and Students Publications

No abstract provided.

Neighborhood Disadvantage And Inequities In Access To Preemptive And Living Kidney Transplantation, Brandon M Fairless, Oluwatunmise A Fawole, Duc T Nguyen, Ankona Banerjee, Kenneth J Nobleza, Abiodun O Oluyomi, Omar Rosales, Jayna M Dave, Elizabeth A Onugha

Children’s Nutrition Research Center Staff Publications

Key Points:

1. Pediatric patients residing in low-resource neighborhoods experienced lower rates of preemptive and living donor kidney transplantation.

2. Household-level factors (single-parent, non-English primary language, and receiving government assistance) may also affect the type of transplant received.

3. Area Deprivation Index scores offer an objective way to quantify neighborhood-level disadvantage and can enhance pretransplant screening.

Background: Living donor kidney transplant (LDKT) generally results in better outcomes than deceased donor kidney transplant (DDKT). Preemptive kidney transplant (KT) allows patients to bypass undergoing maintenance dialysis and is associated with improved patient and graft survival. Studies in the US pediatric population have shown racial-ethnic disparities …

Longitudinal Changes In Aerodigestive Responses To Varying Nipple Properties In Infant Pigs, François D H Gould, Christopher Mayerl, Khaled Adjerid, Jessica Reibel, Nichole Charles, Chloe Edmonds, Rebecca Z German

Rowan-Virtua School of Osteopathic Medicine Departmental Research

Coordination of respiration and swallowing is critical for survival in infant mammals and changes throughout infant maturation. Infants show sensorimotor feeding responses to changes in physical properties of nipples. Commercial nipples are promoted as improving aerodigestive coordination. However, it is unknown how nipple properties influence coordination of respiration and swallowing. Furthermore, how infant-nipple interactions change throughout maturation is not well understood. We designed and manufactured four silicone nipples of the same shape that varied in two parameters: nipple opening diameter and nipple stiffness. We used our validated infant pig model to test the impact of nipple parameters on aerodigestive coordination …

Adipose Progenitor Cell-Derived Extracellular Vesicles Suppress Macrophage M1 Program To Alleviate Midlife Obesity, Qing Zhou, Jia Gao, Guorao Wu, Chenwei Wang, Yan Yang, Teng Huang, Yi Wang, Tiantian Yue, Zhichao Gao, Hao Xie, Fei Xiong, Ke Xiang, Tuying Yong, Wanguang Zhang, Tongtong Zhang, Wen Kong, Cai Chen, Shu Zhang, Qilin Yu, Xuemei Fan, Shiwei Liu, Yanjun Liu, Cong-Yi Wang

Children’s Nutrition Research Center Staff Publications

Among different age groups, middle-aged individuals are particularly susceptible to obesity, with a 22% higher risk of all-cause mortality. However, the underlying mechanisms remain unclear. In this study, we identify adipose progenitor cells (APCs) in the white adipose tissue (WAT) of middle-aged subjects as potential causes of midlife obesity. Specifically, the extracellular vesicles (EVs) derived from APCs display an impaired ability to mitigate the inflammaging of adipose tissue macrophages (ATMs) in middle-aged individuals. Mechanistically, these EVs, lacking miR-145-5p, fail to suppress the expression of L-selectin in ATMs, thereby facilitating their M1 program via the NF-κB signaling pathway. In contrast, EVs …

Do We Need To Add The Type Of Treatment Planning System, Dose Calculation Grid Size, And Ct Density Curve To Predictive Models?, Reza Reiazi, Surendra Prajapati, Leonardo Che Fru, Dongyeon Lee, Mohammad Salehpour

Faculty, Staff and Student Publications

Background: Generalizability and domain dependency are critical challenges in developing predictive models for healthcare, particularly in medical diagnostics and radiation oncology. Predictive models designed to assess tumor recurrence rely on comprehensive and high-quality datasets, encompassing treatment planning parameters, imaging protocols, and patient-specific data. However, domain dependency, arising from variations in dose calculation algorithms, computed tomography (CT) density conversion curves, imaging modalities, and institutional protocols, can significantly undermine model reliability and clinical utility.

Methods: This study evaluated dose calculation differences in the head and neck cancer treatment plans of 19 patients using two treatment planning systems, Pinnacle 9.10 and RayStation 11, …

Evaluation And Surgical Management Of Pediatric Cutaneous Melanoma And Atypical Spitz And Non-Spitz Melanocytic Tumors (Melanocytomas): A Report From Children's Oncology Group, Michael R Sargen, Raymond L Barnhill, David E Elder, Susan M Swetter, Victor G Prieto, Jennifer S Ko, Armita Bahrami, Pedram Gerami, Arivarasan Karunamurthy, Alberto S Pappo, Lynn M Schuchter, Philip E Leboit, Iwei Yeh, John M Kirkwood, Melinda Jen, Ira J Dunkel, Megan M Durham, Emily R Christison-Lagay, Mary T Austin, Jennifer H Aldrink, Casey Mehrhoff, Elena B Hawryluk, Emily Y Chu, Klaus J Busam, Vernon Sondak, Jane Messina, Susana Puig, Andrew J Colebatch, Carrie C Coughlin, Kristen G Berrebi, Theodore W Laetsch, Sarah G Mitchell, Brittani Seynnaeve

Faculty, Staff and Student Publications

Purpose: The purpose of this study was to develop recommendations for the diagnostic evaluation and surgical management of cutaneous melanoma (CM) and atypical Spitz tumors (AST) and non-Spitz melanocytic tumors (melanocytomas) in pediatric (age 0-10 years) and adolescent (age 11-18 years) patients.

Methods: A Children's Oncology Group-led panel with external, multidisciplinary CM specialists convened to develop recommendations on the basis of available data and expertise.

Results: Thirty-three experts from multiple specialties (cutaneous/medical/surgical oncology, dermatology, and dermatopathology) established recommendations with supporting data from 87 peer-reviewed publications.

Recommendations: (1) Excisional biopsies with 1-3 mm margins should be performed when feasible for clinically …

Sap30, A Novel Autophagy Regulatory Gene In Neuroblastoma, Anup S Pathania, Anjana Murugan, Areem Zahid, Haritha Chava, Don W Coulter, George A Calin, Kishore B Challagundla

Faculty, Staff and Student Publications

Neuroblastoma (NB), a devastating pediatric cancer originating from neural crest cells crucial for nervous system development, poses a significant therapeutic challenge. Despite chemotherapy being the primary treatment, approximately 70% of high-risk NB cases develop resistance. Autophagy is vital for neuronal development, balance, and differentiation of neural stem cells into mature neurons. However, the intricate mechanisms governing autophagy and the pivotal genes orchestrating its regulation in NB remain largely elusive. In this study, we first identified Sin3A Associated Protein 30 (SAP30) as a novel regulator of autophagy in NB. Silencing SAP30 inhibits autophagy and disrupts starvation-induced physiological autophagy in NB cells. …

Do We Need To Add The Type Of Treatment Planning System, Dose Calculation Grid Size, And Ct Density Curve To Predictive Models?, Reza Reiazi, Surendra Prajapati, Leonardo Che Fru, Dongyeon Lee, Mohammad Salehpour

Faculty, Staff and Student Publications

Background: Generalizability and domain dependency are critical challenges in developing predictive models for healthcare, particularly in medical diagnostics and radiation oncology. Predictive models designed to assess tumor recurrence rely on comprehensive and high-quality datasets, encompassing treatment planning parameters, imaging protocols, and patient-specific data. However, domain dependency, arising from variations in dose calculation algorithms, computed tomography (CT) density conversion curves, imaging modalities, and institutional protocols, can significantly undermine model reliability and clinical utility.

Methods: This study evaluated dose calculation differences in the head and neck cancer treatment plans of 19 patients using two treatment planning systems, Pinnacle 9.10 and RayStation 11, …

Dna Damage Response Signatures Are Associated With Frontline Chemotherapy Response And Routes Of Tumor Evolution In Extensive Stage Small Cell Lung Cancer, Benjamin B Morris, Simon Heeke, Yuanxin Xi, Lixia Diao, Qi Wang, Pedro Rocha, Edurne Arriola, Myung Chang Lee, Darren R Tyson, Kyle Concannon, Kavya Ramkumar, C Allison Stewart, Robert J Cardnell, Runsheng Wang, Vito Quaranta, Jing Wang, John V Heymach, Barzin Y Nabet, David S Shames, Carl M Gay, Lauren A Byers

Faculty, Staff and Student Publications

Introduction: A hallmark of small cell lung cancer (SCLC) is its recalcitrance to therapy. While most SCLCs respond to frontline therapy, resistance inevitably develops. Identifying phenotypes potentiating chemoresistance and immune evasion is a crucial unmet need. Previous reports have linked upregulation of the DNA damage response (DDR) machinery to chemoresistance and immune evasion across cancers. However, it is unknown if SCLCs exhibit distinct DDR phenotypes.

Methods: To study SCLC DDR phenotypes, we developed a new DDR gene analysis method and applied it to SCLC clinical samples, in vitro, and in vivo model systems. We then investigated how DDR regulation is …

Comparison Of Syndromic Surveillance And Hospital Discharge Data For Unintentional Drowning In Metropolitan Houston, Texas, Usa, Nicholas Peoples, Jennifer L Jones, Elizabeth A Camp, Ned Norman Levine, Rohit P Shenoi

Faculty, Staff and Students Publications

Background: Syndromic surveillance, which provides real-time data, may provide timely drowning surveillance compared with hospital discharge data where the release of data may be delayed. We compared data on hospital visits for unintentional drowning identified in hospital discharge and syndromic surveillance data sets for accuracy and completeness.

Methods: We compared data for hospital visits for unintentional drowning identified in the Texas Health Care Information Collection hospital discharge and syndromic surveillance data sets for metropolitan Houston, Texas, USA from 2019 to 2021. Hospital visits included emergency department-only visits and hospital admissions. We compared time-series visualisation of hospital visits between data sets. …

Nutritional Status, Social Determinants Of Health And Clinical Outcomes In Critically Ill Children, Yash Desai, Andrea Marroquín, Paola Hong-Zhu, Nicole Knebusch, Stephanie Vazquez, Marwa Mansour, Thomas P Fogarty, M Hossein Tcharmtchi, Fernando Stein, Jorge A Coss-Bu

Faculty, Staff and Students Publications

Introduction: Childhood malnutrition remains a risk factor for morbidity and mortality. Children admitted to the Pediatric Intensive Care Unit (PICU) are at a higher risk of worsening nutritional status with adverse clinical outcomes. The burden of malnutrition is strongly linked to various well-defined social determinants of health, including race, socioeconomic status, and geography, as these factors influence household food insecurity. This study aimed to analyze the interrelationships of nutritional status, social determinants of health, and health outcomes in critically ill children.

Methods: Retrospective cohort study of 6418 critically ill children admitted to PICU from January 2014 to December 2017. Demographic …

Deciphering The Dark Cancer Phosphoproteome Using Machine-Learned Co-Regulation Of Phosphosites, Wen Jiang, Eric J Jaehnig, Yuxing Liao, Zhiao Shi, Tomer M Yaron-Barir, Jared L Johnson, Lewis C Cantley, Bing Zhang

Faculty, Staff and Students Publications

Mass spectrometry-based phosphoproteomics offers a comprehensive view of protein phosphorylation, yet our limited knowledge about the regulation and function of most phosphosites hampers the extraction of meaningful biological insights. To address this challenge, we integrate machine learning with phosphoproteomic data from 1195 tumor specimens spanning 11 cancer types to construct CoPheeMap, a network that maps the co-regulation of 26,280 phosphosites. By incorporating network features from CoPheeMap into a second machine learning model, namely CoPheeKSA, we achieve superior performance in predicting kinase-substrate associations. CoPheeKSA uncovers 24,015 associations between 9399 phosphosites and 104 serine/threonine kinases, shedding light on many unannotated phosphosites and …

Utility Of 3-Dimensional Echocardiography In Patients With Complex Intracardiac Connections And Ventricular Septal Defects, Aura Andrea Sanchez Mejia, Tam T Doan, Christian Lilje, Minh B Nguyen, Ricardo H Pignatelli, Shagun Sachdeva, Anitha Parthiban

Faculty, Staff and Students Publications

The surgical management of patients with complex intracardiac connections, ventricular septal defect (VSD), and 2 adequately sized ventricles is challenging. Understanding the VSD anatomy and its spatial relationships with the outflow tracts is critical to determining the suitability for biventricular repair. Transthoracic 2-dimensional echocardiography (2D-echo) is the primary cardiac imaging tool in congenital heart disease. Transthoracic 3-dimensional echocardiography (3D-echo) has an additive role over 2D-echo in the definition of the potential baffle pathway from the VSD to the semilunar valves, the anatomical characteristics of the VSD, and any substrate for systemic outflow tract obstruction postrepair. In this paper, we describe …

Eco-Microbiology: Discovering Biochemical Enhancers Of Pet Biodegradation By Piscinibacter Sakaiensis, Felipe-Andrés Piedra, Miguel A Salazar, Sara Abouelniaj, Raayed Rahman, Justin C Clark, Yimo Han, Zhao Wang, Anthony Maresso

Faculty, Staff and Students Publications

The scale of plastic pollution boggles the mind. Nearly 400 megatons of virgin plastics are produced annually, with an environmental release rate of 80%, and plastic waste, including microplastics and nanoplastics, is associated with a plethora of problems. The naturally evolved abilities of plastic-degrading microbes offer a starting point for generating sustainable and eco-centric solutions to plastic pollution-a field of endeavor we term eco-microbiology. Here, we developed an iterative discovery procedure coupling faster polyethylene terephthalate (PET)-dependent bioactivity screens with longer-term PET biodegradation assays to find biochemical boosters of PET consumption by the bacterium Piscinibacter sakaiensis. We discovered multiple hits …

Novel Valve-In-Valve Transcatheter Systemic Tricuspid Valve Replacement In Congenitally Corrected Transposition Of The Great Arteries, Aamer Naofal, Riyad Yazan Kherallah, Wilson W Lam, Dhaval R Parekh

Faculty, Staff and Students Publications

A 41-year-old woman with history of situs inversus totalis, dextrocardia, congenitally corrected transposition of the great arteries, and systemic tricuspid valve replacement presented with worsening of her baseline orthopnea and exertional dyspnea caused by stenosis of the tricuspid valve. Given her high risk for surgery, valve-in-valve transcatheter tricuspid valve replacement was pursued and performed successfully, leading to resolution of her symptoms. Previous valve-in-valve tricuspid interventions are rare. This case is notable as the first systemic atrioventricular valve-in-valve replacement in a patient with dextrocardia through a septal approach.

Endovascular Re-Intervention For Recurrent Lower Limb Ischemia After Previous Endovascular Intervention, Mohamed Abdelsamie Abdelkhalek Elbahat

Journal of Medicine in Scientific Research

Background Redo endovascular interventions are increasingly employed to address recurrent lower limb ischemia following prior successful procedures. Despite their minimally invasive nature and flexibility, there is limited data on their midterm effectiveness and safety. Objective To evaluate the effectiveness and outcomes of endovascular re-intervention in managing recurrent lower limb ischemia after previous procedures. Patients and Methods This study included 40 patients with recurrent lower limb ischemia, managed at Shebin Elkoom Teaching Hospital between 2023 and 2024. Patients had previously undergone successful endovascular interventions at least 30 days before recurrence and were treated with angioplasty alone or in combination with stenting. …

A Deep Sparse Capsule Network For Non-Invasive Blood Glucose Level Estimation Using A Ppg Sensor, Narmatha Chellamani, Saleh Ali Albelwi, Manimurugan Shanmuganathan, Palanisamy Amirthalingam, Emad Muteb Alharbi, Hibah Qasem Salman Alatawi, Kousalya Prabahar, Jawhara Bader Aljabri, Anand Paul

School of Public Health Faculty Publications

Diabetes, a chronic medical condition, affects millions of people worldwide and requires consistent monitoring of blood glucose levels (BGLs). Traditional invasive methods for BGL monitoring can be challenging and painful for patients. This study introduces a non-invasive, deep learning (DL)-based approach to estimate BGL using photoplethysmography (PPG) signals. Specifically, a Deep Sparse Capsule Network (DSCNet) model is proposed to provide accurate and robust BGL monitoring. The proposed model’s workflow includes data collection, preprocessing, feature extraction, and predictions. A hardware module was designed using a PPG sensor and Raspberry Pi to collect patient data. In preprocessing, a Savitzky–Golay filter and moving …

Icos-Expressing Car-T Cells Mediate Durable Eradication Of Triple-Negative Breast Cancer And Metastasis, Shelley Herbrich, Mehdi Chaib, Padmanee Sharma

Faculty, Staff and Student Publications

Triple-negative breast cancer (TNBC) remains one of the most aggressive and therapeutically challenging breast cancer subtypes. In their recent study, Cao et al introduced a B7H3-specific chimeric antigen receptor (CAR)-T cell with constitutive inducible co-stimulator (ICOS) expression (ICOS-B7H3-CAR-T), which demonstrated eradication of TNBC, including metastases, in preclinical models. These CAR-T cells exploit the expression of ICOS ligand on TNBC cells, enhancing antitumor cytotoxicity through ICOS signaling. Compared with conventional B7H3-CAR-T cells, the ICOS-B7H3-CAR-T cells exhibited superior antitumor efficacy, increased cytokine secretion, and prolonged survival in xenograft murine models. This study highlights ICOS as a promising co-stimulatory molecule for improving CAR-T …

Mathematical Modeling To Address Questions In Breast Cancer Screening: An Overview Of The Breast Cancer Models Of The Cancer Intervention And Surveillance Modeling Network, Oguzhan Alagoz, Jennifer L Caswell-Jin, Harry J De Koning, Hui Huang, Xuelin Huang, Sandra J Lee, Yisheng Li, Sylvia K Plevritis, Swarnavo Sarkar, Clyde B Schechter, Natasha K Stout, Amy Trentham-Dietz, Nicolien Van Ravesteyn, Kathryn P Lowry

Faculty, Staff and Student Publications

The National Cancer Institute-funded Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer mathematical models have been increasingly utilized by policymakers to address breast cancer screening policy decisions and influence clinical practice. These well-established and validated models have a successful track record of use in collaborations spanning over 2 decades. While mathematical modeling is a valuable approach to translate short-term screening performance data into long-term breast cancer outcomes, it is inherently complex and requires numerous inputs to approximate the impacts of breast cancer screening. This review article describes the 6 independently developed CISNET breast cancer models, with a particular focus …

Near-Infrared Fluorescence Imaging With An Met-Targeting Probe For Biopsy Site Selection In Patients With Oral Potentially Malignant Disorders, Jingbo Wang, Xuemin Shen, Qifan Ma, Lin Yang, Xiaoyu Zhou, Luting Wang, Junqi Cui, Chunye Zhang, Guojun Li, Neil Gross, Siyi Li, Ruimin Huang, Changyou Zhan, Zhen Cheng, Kun Wang, Jie Tian, Ying Yuan, Xiaofeng Tao

Faculty, Staff and Student Publications

Accurate detection of malignant transformation in oral potentially malignant disorders (OPMDs) is crucial for guiding effective treatment and improving patient management. This study evaluates the potential of MET-binding peptide-indocyanine green (cMBP-ICG), a mesenchymal-epithelial transition factor (MET)-targeted near-infrared fluorescence imaging (NIRFI) probe, for biopsy site selection in OPMDs. Preclinical results demonstrate the superior accuracy of NIRFI-assisted biopsy over conventional oral examination (COE)-based biopsy in detecting high-grade dysplasia (HGD) or squamous cell carcinoma (SCC) and reducing missed detection rates. In a clinical trial with 50 patients, NIRFI-assisted biopsy achieves significantly higher diagnostic accuracy compared to COE-based biopsy (91% vs. 72%, p = …