Medical Specialties Commons^™

Ambiguity In Statistical Analysis Methods And Nonconformity With Prespecified Commitment To Data Sharing In A Cluster Randomized Controlled Trial, Yasaman Jamshidi-Naeini, Lilian Golzarri-Arroyo, Deependra K Thapa, Andrew W Brown, Daniel E Kpormegbey, David B Allison

Children’s Nutrition Research Center Staff Publications

No abstract provided.

Evaluating Serum Copper And Kidney Function In A Cohort Of Bariatric Surgery Patients, Katherine Mckeon, Mchael Cook, John Baker, Kyle Lapenna, Hua He, Amanda Anderson, Felicia Rabito

School of Medicine Faculty Publications

Association for Clinical and Translational Science 2024; April 3 - April 5, 2024; Las Vegas, NV

Effect Of Aspirin Versus Low-Molecular-Weight Heparin Thromboprophylaxis On Medication Satisfaction And Out-Of-Pocket Costs: A Secondary Analysis Of A Randomized Clinical Trial, Nathan N O'Hara, Katherine P Frey, Deborah M Stein, Joseph F Levy, Gerard P Slobogean, Renan Castillo, Reza Firoozabadi, Madhav A Karunakar, Joshua L Gary, William T Obremskey, Rachel B Seymour, Joseph Cuschieri, C Daniel Mullins, Robert V O'Toole, Metrc

Faculty, Staff and Student Publications

BACKGROUND: Current guidelines recommend low-molecular-weight heparin for thromboprophylaxis after orthopaedic trauma. However, recent evidence suggests that aspirin is similar in efficacy and safety. To understand patients' experiences with these medications, we compared patients' satisfaction and out-of-pocket costs after thromboprophylaxis with aspirin versus low-molecular-weight heparin.

METHODS: This study was a secondary analysis of the PREVENTion of CLots in Orthopaedic Trauma (PREVENT CLOT) trial, conducted at 21 trauma centers in the U.S. and Canada. We included adult patients with an operatively treated extremity fracture or a pelvic or acetabular fracture. Patients were randomly assigned to receive 30 mg of low-molecular-weight heparin (enoxaparin) …

Does An Early, Balanced Resuscitation Strategy Reduce The Incidence Of Hypofibrinogenemia In Hemorrhagic Shock?, David T Lubkin, Krislynn M Mueck, Gabrielle E Hatton, Jason B Brill, Mariela Sandoval, Jessica C Cardenas, Charles E Wade, Bryan A Cotton

Faculty, Staff and Student Publications

OBJECTIVES: Some centers have recommended including concentrated fibrinogen replacement in massive transfusion protocols (MTPs). Given our center's policy of aggressive early balanced resuscitation (1:1:1), beginning prehospital, we hypothesized that our rates of hypofibrinogenemia may be lower than those previously reported.

METHODS: In this retrospective cohort study, patients presenting to our trauma center November 2017 to April 2021 were reviewed. Patients were defined as hypofibrinogenemic (HYPOFIB) if admission fibrinogen

RESULTS: Of 29 782 patients, 6618 level 1 activations, and 1948 patients receiving emergency release blood,

CONCLUSIONS: Low rates of hypofibrinogenemia were found in our center which treats hemorrhage with early, balanced …

Oncogenic Oral Human Papillomavirus Clearance Patterns Over 10 Years, Gypsyamber D'Souza, Sakshi R Tewari, Tanya Troy, Jennifer Webster-Cyriaque, Dorothy J Wiley, Cecile Delille Lahiri, Frank Joseph Palella, Maura L Gillison, Howard D Strickler, Linda Struijk, Tim Waterboer, Ken Ho, Jennafer Kwait, Jason Lazar, Kathleen M Weber, Carole Fakhry

Faculty, Staff and Student Publications

Background: Effective screening for oropharyngeal cancer is lacking. Four oncogenic HPV clearance definitions were explored to understand long-term natural history for persistent oncogenic oral HPV (oncHPV), the precursor of oropharyngeal cancer.

Methods: Prospective multicenter cohort of participants living with/at-risk for HIV, with oral rinse and gargle samples collected every 6 to 12 months for up to 10 years and tested for oncHPV. HPV clearance definitions included 1 (clear1), 2 (clear2), 3 (clear3) consecutive negatives, or being negative at last two visits (clearlast).

Results: Median time to clearance of oncHPV exceeded 2 years for conservative definitions (clear3: 2.38, clearlast: 2.43), but …

Compare Deep Learning Model And Conventional Logistic Regression Model For The Identification Of Unstable Saccular Intracranial Aneurysms In Computed Tomography Angiography, Lu Zeng, Xiao-Yan Zhao, Li Wen, Yang Jing, Jing-Xu Xu, Chen-Cui Huang, Dong Zhang, Guang-Xian Wang

Faculty, Staff and Student Publications

BACKGROUND: It is crucial to distinguish unstable from stable intracranial aneurysms (IAs) as early as possible to derive optimal clinical decision-making for further treatment or follow-up. The aim of this study was to investigate the value of a deep learning model (DLM) in identifying unstable IAs from computed tomography angiography (CTA) images and to compare its discriminatory ability with that of a conventional logistic regression model (LRM).

METHODS: From August 2011 to May 2021, a total of 1,049 patients with 681 unstable IAs and 556 stable IAs were retrospectively analyzed. IAs were randomly divided into training (64%), internal validation (16%), …

Evaluation Of Four Computed Tomography Reconstruction Algorithms Using A Coronary Artery Phantom, Shungo Sawamura, Shingo Kato, Yoshinori Funama, Seitaro Oda, Harumi Mochizuki, Sayuri Inagaki, Yuka Takeuchi, Tsubasa Morioka, Toshiharu Izumi, Yoichiro Ota, Hironori Kawagoe, Shihyao Cheng, Naoki Nakayama, Kazuki Fukui, Takashi Tsutsumi, Tae Iwasawa, Daisuke Utsunomiya

Faculty, Staff and Student Publications

BACKGROUND: Despite advancements in coronary computed tomography angiography (CTA), challenges in positive predictive value and specificity remain due to limited spatial resolution. The purpose of this experimental study was to investigate the effect of 2nd generation deep learning-based reconstruction (DLR) on the quantitative and qualitative image quality in coronary CTA.

METHODS: A vessel model with stepwise non-calcified plaque was scanned using 320-detector CT. Image reconstruction was performed using four techniques: hybrid iterative reconstruction (HIR), model-based iterative reconstruction (MBIR), DLR, and 2nd generation DLR. The luminal peak CT number, contrast-to-noise ratio (CNR), and edge rise slope (ERS) were quantitatively evaluated via …

Comparison Of Prehospital Finger Thoracostomy And Needle Thoracostomy Performed By Ground Emergency Medical Services, Angelo Ciaraglia, Alison Smith, Benjamin Axtman, Brian Eastridge, Ronald Stewart, Susannah Nicholson, Donald Jenkins

School of Medicine Faculty Publications

Introduction: Tension pneumothorax related to chest trauma is a rapidly lethal condition that requires immediate treatment, often prior to arrival at definitive ca.re. Recent concerns regarding the safety and efficacy of needle thoracostomy (NT) have led to alternatives. Finger thoracostomy (FT) is a potential life-sav­ing treatment performed by prehospital providers as an alternative to NT. We hypothesize that FT has improved rates of prehospital thoracic decompression and is a safe alternative to NT. Materials and Methods: Retrospective cohort study of consecutive adult trauma patients presenting to a Level 1 trauma center who sustained chest trauma. A matched cohort of patients …

Nodal Variants Are Associated With A Continuum Of Laterality Defects From Simple D-Transposition Of The Great Arteries To Heterotaxy, Zain Dardas, Jawid M Fatih, Angad Jolly, Moez Dawood, Haowei Du, Christopher M Grochowski, Edward G Jones, Shalini N Jhangiani, Xander H T Wehrens, Pengfei Liu, Weimin Bi, Eric Boerwinkle, Jennifer E Posey, Donna M Muzny, Richard A Gibbs, James R Lupski, Zeynep Coban-Akdemir, Shaine A Morris

Faculty, Staff and Student Publications

BACKGROUND: NODAL signaling plays a critical role in embryonic patterning and heart development in vertebrates. Genetic variants resulting in perturbations of the TGF-β/NODAL signaling pathway have reproducibly been shown to cause laterality defects in humans. To further explore this association and improve genetic diagnosis, the study aims to identify and characterize a broader range of NODAL variants in a large number of individuals with laterality defects.

METHODS: We re-analyzed a cohort of 321 proband-only exomes of individuals with clinically diagnosed laterality congenital heart disease (CHD) using family-based, rare variant genomic analyses. To this cohort we added 12 affected subjects with …

Artificial Intelligence Predictive Analytics In Heart Failure: Results Of The Pilot Phase Of A Pragmatic Randomized Clinical Trial, Konstantinos Sideris, Charlene R Weir, Carsten Schmalfuss, Heather Hanson, Matt Pipke, Po-He Tseng, Neil Lewis, Karim Sallam, Biykem Bozkurt, Thomas Hanff, Richard Schofield, Karen Larimer, Christos P Kyriakopoulos, Iosif Taleb, Lina Brinker, Tempa Curry, Cheri Knecht, Jorie M Butler, Josef Stehlik

Faculty, Staff and Students Publications

OBJECTIVES: We conducted an implementation planning process during the pilot phase of a pragmatic trial, which tests an intervention guided by artificial intelligence (AI) analytics sourced from noninvasive monitoring data in heart failure patients (LINK-HF2).

MATERIALS AND METHODS: A mixed-method analysis was conducted at 2 pilot sites. Interviews were conducted with 12 of 27 enrolled patients and with 13 participating clinicians. iPARIHS constructs were used for interview construction to identify workflow, communication patterns, and clinician's beliefs. Interviews were transcribed and analyzed using inductive coding protocols to identify key themes. Behavioral response data from the AI-generated notifications were collected.

RESULTS: Clinicians …

Gabaergic/Glycinergic And Glutamatergic Neurons Mediate Distinct Neurodevelopmental Phenotypes Of Stxbp1 Encephalopathy, Joo Hyun Kim, Wu Chen, Eugene S Chao, Armando Rivera, Heet Naresh Kaku, Kevin Jiang, Dongwon Lee, Hongmei Chen, Jaimie M Vega, Teresa V Chin, Kevin Jin, Kelly T Nguyen, Sheldon S Zou, Zain Moin, Shawn Nguyen, Mingshan Xue 薛名杉

Faculty, Staff and Students Publications

An increasing number of pathogenic variants in presynaptic proteins involved in the synaptic vesicle cycle are being discovered in neurodevelopmental disorders. The clinical features of these synaptic vesicle cycle disorders are diverse, but the most prevalent phenotypes include intellectual disability, epilepsy, movement disorders, cerebral visual impairment, and psychiatric symptoms ( Verhage and Sørensen, 2020; Bonnycastle et al., 2021; John et al., 2021; Melland et al., 2021). Among this growing list of synaptic vesicle cycle disorders, the most frequent is STXBP1 encephalopathy caused by de novo heterozygous pathogenic variants in syntaxin-binding protein 1 (STXBP1, also known as …

Pulmonary Vein Isolation With Or Without Left Atrial Appendage Ligation In Atrial Fibrillation: The Amaze Randomized Clinical Trial., Dhanunjaya R Lakkireddy, David J Wilber, Suneet Mittal, David Tschopp, Christopher R Ellis, Abdi Rasekh, Troy Hounshell, Rudy Evonich, Sheetal Chandhok, Ronald D Berger, Rodney Horton, Michael H Hoskins, Hugh Calkins, Steven J Yakubov, Pamela Simons, Benjamin R Saville, Randall J Lee

Heart and Vascular Articles

IMPORTANCE: Left atrial appendage elimination may improve catheter ablation outcomes for atrial fibrillation.

OBJECTIVE: To assess the safety and effectiveness of percutaneous left atrial appendage ligation adjunctive to catheter pulmonary vein isolation for nonparoxysmal atrial fibrillation.

DESIGN, SETTING, AND PARTICIPANTS: This multicenter, prospective, open-label, randomized clinical trial evaluated the safety and effectiveness of percutaneous left atrial appendage ligation adjunctive to planned pulmonary vein isolation for nonparoxysmal atrial fibrillation present for less than 3 years. Eligible patients were randomized in a 2:1 ratio to undergo left atrial appendage ligation and pulmonary vein isolation or pulmonary vein isolation alone. Use of a …

Association Of Multiple Metabolic And Cardiovascular Markers With The Risk Of Cognitive Decline And Mortality In Adults With Alzheimer’S Disease And Ad-Related Dementia Or Cognitive Decline: A Prospective Cohort Study, Longjian Liu, Edward Gracely, Xiaopeng Zhao, Gediminas Gliebus, Nathalie May, Stella Volpe, Jingyi Shi, Rose Ann Dimaria-Ghalili, Howard Eisen

Division of Cardiology Faculty Papers

BACKGROUND AND OBJECTIVES: There is a scarcity of data stemming from large-scale epidemiological longitudinal studies focusing on potentially preventable and controllable risk factors for Alzheimer's disease (AD) and AD-related dementia (ADRD). This study aimed to examine the effect of multiple metabolic factors and cardiovascular disorders on the risk of cognitive decline and AD/ADRD.

METHODS: We analyzed a cohort of 6,440 participants aged 45-84 years at baseline. Multiple metabolic and cardiovascular disorder factors included the five components of the metabolic syndrome [waist circumference, high blood pressure (HBP), elevated glucose and triglyceride (TG) concentrations, and reduced high-density lipoprotein cholesterol (HDL-C) concentrations], C-reactive …

Research Frameworks: Critical Components For Reporting Qualitative Health Care Research, Ann Z. George

Journal of Patient-Centered Research and Reviews

Qualitative health care research can provide insights into health care practices that quantitative studies cannot. However, the potential of qualitative research to improve health care is undermined by reporting that does not explain or justify the research questions and design. The vital role of research frameworks for designing and conducting quality research is widely accepted, but despite many articles and books on the topic, confusion persists about what constitutes an adequate underpinning framework, what to call it, and how to use one. This editorial clarifies some of the terminology and reinforces why research frameworks are essential for good-quality reporting of …

Real-World Experiences Of Parkinson's Disease Off Time And Role Of Demographics, Radhika Devraj, Ahmad Elkouzi, Marlon R. Tracey

Journal of Patient-Centered Research and Reviews

Purpose

OFF periods are episodes when Parkinson’s disease (PD) medications work suboptimally, with symptoms returning and impacting quality of life. We aimed to characterize OFF periods using patient-reported frequency, severity, and duration, as well as determine these characteristics’ associations with demographics.

Methods

A retrospective cohort study using Fox Insight Data Exploration Network (Fox DEN) database was conducted. Eligible patients had PD and were > 18 years. The experience of OFF periods was characterized by frequency (number of episodes/day), duration (duration/episode), and severity (impact on activities). Significance level was Bonferroni-corrected for multivariate analyses.

Results

From a population of 6,757 persons with PD, …

Deep-Learning-Based Group Pointwise Spatial Mapping Of Structure To Function In Glaucoma, Zhiqi Chen, Hiroshi Ishikawa, Yao Wang, Gadi Wollstein, Joel Schuman

Wills Eye Hospital Papers

PURPOSE: To establish generalizable pointwise spatial relationship between structure and function through occlusion analysis of a deep-learning (DL) model for predicting the visual field (VF) sensitivities from 3-dimensional (3D) OCT scan.

DESIGN: Retrospective cross-sectional study.

PARTICIPANTS: A total of 2151 eyes from 1129 patients.

METHODS: A DL model was trained to predict 52 VF sensitivities of 24-2 standard automated perimetry from 3D spectral-domain OCT images of the optic nerve head (ONH) with 12 915 OCT-VF pairs. Using occlusion analysis, the contribution of each individual cube covering a 240 × 240 × 31.25 μm region of the ONH to the model's …

Measuring The Impact Of Primary Care Team Composition On Patient Activation Utilizing Electronic Health Record Big Data Analytics, Kristen K. Will, Yue Liang, Chih-Lin Chi, Gerri Lamb, Michael Todd, Connie Delaney

Journal of Patient-Centered Research and Reviews

Purpose

Team-based care has been linked to key outcomes associated with the Quadruple Aim and a key driver of high-value patient-centered care. Use of the electronic health record (EHR) and machine learning have significant potential to overcome previous barriers to studying the impact of teams, including delays in accessing data to improve teamwork and optimize patient outcomes.

Methods

This study utilized a large EHR dataset (n = 316,542) from an urban health system to explore the relationship between team composition and patient activation, a key driver of patient engagement. Teams were operationalized using consensus definitions of teamwork from the literature. …

Understanding Patient-Reported Outcome Measures Used In Adult Survivors Experiencing Long-Term Effects After Covid-19 Infection: A Rapid Review, Egle Barilaite, Harry Watson, Mevhibe B. Hocaoglu

Journal of Patient-Centered Research and Reviews

Purpose

Patient-reported outcome measures (PROMs) are used in individuals experiencing long-term effects from COVID-19 infection, or Long COVID, to evaluate the quality of life and functional status of these individuals. However, little is known about which PROMs are being utilised and the psychometric properties of these PROMs. Our purpose was thus to explore which PROMs are used in Long COVID patients and to discuss the psychometric properties of the PROMs.

Methods

For this rapid review, a systematic literature search was performed in the PubMed, Embase, and CINAHL databases. The found studies were screened using the PRISMA flowchart. We then performed …

Adult Development And Associated Health Risks, Elizabeth C. Halloran

Journal of Patient-Centered Research and Reviews

Much has been learned about adult development in recent decades. Adults go through stages of development (emerging adulthood, young adulthood, middle adulthood, post-retirement, and very old age) with certain challenges at each stage. Viewing patients through a developmental lens is part of providing patient-centered care. Knowing the prominent issues, stressors, and risks at each stage of development is important in understanding patients. This knowledge can help customize medical advice to patients regarding obesity, disability, sleep, substance use, relationships, and age-related declines. This paper summarizes an updated view of adult development and discusses its relevance to health risks and patient-centered care …

Identification Of Colorectal Cancer Cell Stemness From Single-Cell Rna Sequencing, Kangyu Lin, Saikat Chowdhury, Mohammad A Zeineddine, Fadl A Zeineddine, Nicholas J Hornstein, Oscar E Villarreal, Dipen M Maru, Cara L Haymaker, Jean-Nicolas Vauthey, George J Chang, Elena Bogatenkova, David Menter, Scott Kopetz, John Paul Shen

Faculty, Staff and Student Publications

UNLABELLED: Cancer stem cells (CSC) play a critical role in metastasis, relapse, and therapy resistance in colorectal cancer. While characterization of the normal lineage of cell development in the intestine has led to the identification of many genes involved in the induction and maintenance of pluripotency, recent studies suggest significant heterogeneity in CSC populations. Moreover, while many canonical colorectal cancer CSC marker genes have been identified, the ability to use these classical markers to annotate stemness at the single-cell level is limited. In this study, we performed single-cell RNA sequencing on a cohort of 6 primary colon, 9 liver metastatic …

Peritoneal Microenvironment Promotes Appendiceal Adenocarcinoma Growth: A Multi-Omics Approach Using Patient-Derived Xenografts, Vinay K Pattalachinti, Ichiaki Ito, Saikat Chowdhury, Abdelrahman Yousef, Yue Gu, Betul Beyza Gunes, Emma R Salle, Melissa W Taggart, Keith Fournier, Natalie W Fowlkes, John Paul Shen

Faculty, Staff and Student Publications

Appendiceal adenocarcinoma (AA) is unique from other gastrointestinal malignancies in that it almost exclusively metastasizes to the peritoneal cavity. However, few studies have investigated the molecular interaction of the peritoneal microenvironment and AA. Here, we use a multi-omics approach with orthotopic and flank-implanted patient-derived xenografts (PDX) to study the effect of the peritoneal microenvironment on AA. AA tumors implanted in the peritoneal microenvironment tended to grow faster and displayed greater nuclear expression of Ki-67 relative to the same tumors implanted in the flank. Comparing the tumor-specific transcriptome (excluding stromal transcription), the peritoneal microenvironment relatively upregulated genes related to proliferation, including …

Neutrophil Elastase Remodels Mammary Tumors To Facilitate Lung Metastasis, Amriti R Lulla, Said Akli, Cansu Karakas, Joseph A Caruso, Lucas D Warma, Natalie W Fowlkes, Xiayu Rao, Jing Wang, Kelly K Hunt, Stephanie S Watowich, Khandan Keyomarsi

Faculty, Staff and Student Publications

Metastatic disease remains the leading cause of death due to cancer, yet the mechanism(s) of metastasis and its timely detection remain to be elucidated. Neutrophil elastase (NE), a serine protease secreted by neutrophils, is a crucial mediator of chronic inflammation and tumor progression. In this study, we used the PyMT model (NE+/+ and NE-/-) of breast cancer to interrogate the tumor-intrinsic and -extrinsic mechanisms by which NE can promote metastasis. Our results showed that genetic ablation of NE significantly reduced lung metastasis and improved metastasis-free survival. RNA-sequencing analysis of primary tumors indicated differential regulation of tumor-intrinsic actin cytoskeleton signaling pathways …

Genetic Ancestry And Radical Prostatectomy Findings In Hispanic/Latino Patients, Natalia L. Acosta-Vega, Rodolfo Varela, Jorge Andrés Mesa, Jone Garai, Alberto Gómez-Gutiérrez, Silvia J. Serrano-Gómez, Jovanny Zabaleta, María Carolina Sanabria-Salas, Alba L. Combita

School of Medicine Faculty Publications

Background: African ancestry is a known factor associated with the presentation and aggressiveness of prostate cancer (PC). Hispanic/Latino populations exhibit varying degrees of genetic admixture across Latin American countries, leading to diverse levels of African ancestry. However, it remains unclear whether genetic ancestry plays a role in the aggressiveness of PC in Hispanic/Latino patients. We explored the associations between genetic ancestry and the clinicopathological data in Hispanic/Latino PC patients from Colombia. Patients and methods: We estimated the European, Indigenous and African genetic ancestry, of 230 Colombian patients with localized/regionally advanced PC through a validated panel for genotypification of 106 Ancestry …

Antibiotic Treatment For Well-Appearing Infants Born At ≥35 Weeks’ Gestation To Mothers With Chorioamnionitis Before And After Implementation Of Neonatal Early-Onset Sepsis Calculator, Surichhya Bajracharya, Preetha Prazad, Catherine Bennett, Nahren Asado

Journal of Patient-Centered Research and Reviews

Purpose

Our quality improvement study aimed to determine whether application of a neonatal early-onset sepsis calculator (NSC) among well-appearing infants born at ≥ 35 weeks’ gestation to mothers with chorioamnionitis decreases the number of lab evaluations (LEs) and antibiotic treatments (Abxs) without missing early-onset sepsis.

Methods

We compared 2 years (January 1, 2019–January 3, 2021) of data from a historical-control group before implementation of the NSC to 1 year (January 4, 2021–December 31, 2021) of data from a calculator group after implementation of the NSC to evaluate whether LE and Abx decreased following implementation of the NSC on January 4, …

Cardiogpt: An Ecg Interpretation Generation Model, Guohua Fu, Jianwei Zheng, Islam Abudayyeh, Chizobam Ani, Cyril Rakovski, Louis Ehwerhemuepha, Hongxia Lu, Yongjuan Guo, Shenglin Liu, Huimin Chu, Bing Yang

Mathematics, Physics, and Computer Science Faculty Articles and Research

Numerous supervised learning models aimed at classifying 12-lead electrocardiograms into different groups have shown impressive performance by utilizing deep learning algorithms. However, few studies are dedicated to applying the Generative Pre-trained Transformer (GPT) model in interpreting electrocardiogram (ECG) using natural language. Thus, we are pioneering the exploration of this uncharted territory by employing the CardioGPT model to tackle this challenge. We used a dataset of ECGs (standard 10s, 12-channel format) from adult patients, with 60 distinct rhythms or conduction abnormalities annotated by board-certified, actively practicing cardiologists. The ECGs were collected from The First Affiliated Hospital of Ningbo University and Shanghai …

Author Correction: Automating Data Analysis For Hydrogen/Deuterium Exchange Mass Spectrometry Using Data-Independent Acquisition Methodology, Frantisek Filandr, Vladimir Sarpe, Shaunak Raval, D Alex Crowder, Morgan F Khan, Pauline Douglas, Stephen Coales, Rosa Viner, Aleem Syed, John A Tainer, Susan P Lees-Miller, David C Schriemer

Faculty, Staff and Student Publications

No abstract provided.

Antigen-Clustered Nanovaccine Achieves Long-Term Tumor Remission By Promoting B/Cd 4 T Cell Crosstalk, Chengyi Li, Ryan Clauson, Luke F Bugada, Fang Ke, Bing He, Zhixin Yu, Hongwei Chen, Binyamin Jacobovitz, Hongxiang Hu, Polina Chuikov, Brett Dallas Hill, Syed M Rizvi, Yudong Song, Kai Sun, Pasieka Axenov, Daniel Huynh, Xinyi Wang, Lana Garmire, Yu Leo Lei, Irina Grigorova, Fei Wen, Marilia Cascalho, Wei Gao, Duxin Sun

Faculty, Staff and Student Publications

Current cancer vaccines using T cell epitopes activate antitumor T cell immunity through dendritic cell/macrophage-mediated antigen presentation, but they lack the ability to promote B/CD4 T cell crosstalk, limiting their anticancer efficacy. We developed antigen-clustered nanovaccine (ACNVax) to achieve long-term tumor remission by promoting B/CD4 T cell crosstalk. The topographic features of ACNVax were achieved using an iron nanoparticle core attached with an optimal number of gold nanoparticles, where the clusters of HER2 B/CD4 T cell epitopes were conjugated on the gold surface with an optimal intercluster distance of 5-10 nm. ACNVax effectively trafficked to lymph nodes and cross-linked with …

Neonatal Outcomes In The Surgical Management Of Placenta Accreta Spectrum Disorders: A Retrospective Single-Center Observational Study From 468 Vietnamese Pregnancies Beyond 28 Weeks Of Gestation, Phuc Nhon Nguyen, Anh Dinh Bao Vuong, Xuan Trang Thi Pham

Faculty, Staff and Student Publications

BACKGROUND: Placenta accreta spectrum disorders (PASDs) increase the mortality rate for mothers and newborns over a decade. Thus, the purpose of the study is to evaluate the neonatal outcomes in emergency cesarean section (CS) and planned surgery as well as in Cesarean hysterectomy and the modified one-step conservative uterine surgery (MOSCUS). The secondary aim is to reveal the factors relating to poor neonatal outcomes.

METHODS: This was a single-center retrospective study conducted between 2019 and 2020 at Tu Du Hospital, in the southern region of Vietnam. A total of 497 pregnant women involved in PASDs beyond 28 weeks of gestation …

Targeting Branched N-Glycans And Fucosylation Sensitizes Ovarian Tumors To Immune Checkpoint Blockade, Hao Nie, Pratima Saini, Taito Miyamoto, Liping Liao, Rafal J Zielinski, Heng Liu, Wei Zhou, Chen Wang, Brennah Murphy, Martina Towers, Tyler Yang, Yuan Qi, Toshitha Kannan, Andrew Kossenkov, Hiroaki Tateno, Daniel T Claiborne, Nan Zhang, Mohamed Abdel-Mohsen, Rugang Zhang

Faculty, Staff and Student Publications

Aberrant glycosylation is a crucial strategy employed by cancer cells to evade cellular immunity. However, it's unclear whether homologous recombination (HR) status-dependent glycosylation can be therapeutically explored. Here, we show that the inhibition of branched N-glycans sensitizes HR-proficient, but not HR-deficient, epithelial ovarian cancers (EOCs) to immune checkpoint blockade (ICB). In contrast to fucosylation whose inhibition sensitizes EOCs to anti-PD-L1 immunotherapy regardless of HR-status, we observe an enrichment of branched N-glycans on HR-proficient compared to HR-deficient EOCs. Mechanistically, BRCA1/2 transcriptionally promotes the expression of MGAT5, the enzyme responsible for catalyzing branched N-glycans. The branched N-glycans on HR-proficient tumors augment their …

Ai Is A Viable Alternative To High Throughput Screening: A 318-Target Study, The Atomwise Aims Program

Faculty, Staff and Student Publications

High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, …