Digital Commons Network^™

Bridging The Gap: Rademacher Complexity In Robust And Standard Generalization, Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie J Su

Faculty, Staff and Student Publications

Training Deep Neural Networks (DNNs) with adversarial examples often results in poor generalization to test-time adversarial data. This paper investigates this issue, known as adversarially robust generalization, through the lens of Rademacher complexity. Building upon the studies by Khim and Loh (2018); Yin et al. (2019), numerous works have been dedicated to this problem, yet achieving a satisfactory bound remains an elusive goal. Existing works on DNNs either apply to a surrogate loss instead of the robust loss or yield bounds that are notably looser compared to their standard counterparts. In the latter case, the bounds have a …

Disentangling Accelerated Cognitive Decline From The Normal Aging Process And Unraveling Its Genetic Components: A Neuroimaging-Based Deep Learning Approach, Yulin Dai, Yu-Chun Hsu, Brisa S Fernandes, Kai Zhang, Xiaoyang Li, Nitesh Enduru, Andi Liu, Astrid M Manuel, Xiaoqian Jiang, Zhongming Zhao, Alzheimer’S Disease Neuroimaging Initiative

Faculty, Staff and Student Publications

BACKGROUND: The progressive cognitive decline, an integral component of Alzheimer's disease (AD), unfolds in tandem with the natural aging process. Neuroimaging features have demonstrated the capacity to distinguish cognitive decline changes stemming from typical brain aging and AD between different chronological points.

OBJECTIVE: To disentangle the normal aging effect from the AD-related accelerated cognitive decline and unravel its genetic components using a neuroimaging-based deep learning approach.

METHODS: We developed a deep-learning framework based on a dual-loss Siamese ResNet network to extract fine-grained information from the longitudinal structural magnetic resonance imaging (MRI) data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study. …

Human Equilibrative Nucleoside Transporter 1: Novel Biomarker And Prognostic Indicator For Patients With Gemcitabine-Treated Pancreatic Cancer, Jianchun Xiao, Fangyu Zhao, Wenhao Luo, Gang Yang, Yicheng Wang, Jiangdong Qiu, Yueze Liu, Lei You, Lianfang Zheng, Taiping Zhang

Faculty, Staff and Student Publications

AIM: This article aimed to find appropriate pancreatic cancer (PC) patients to treat with Gemcitabine with better survival outcomes by detecting hENT1 levels.

METHODS: We collected surgical pathological tissues from PC patients who received radical surgery in our hospital from September 2004 to December 2014. A total of 375 PC tissues and paired adjacent nontumor tissues were employed for the construction of 4 tissue microarrays (TMAs). The quality of the 4 TMAs was examined by HE staining. We performed immunohistochemistry analysis to evaluate hENT1 expression in the TMAs. Moreover, we detected hENT1 expression level and proved the role of hENT1 …

Biomedical Big Data Technologies, Applications, And Challenges For Precision Medicine: A Review, Xue Yang, Kexin Huang, Dewei Yang, Weiling Zhao, Xiaobo Zhou

Faculty, Staff and Student Publications

The explosive growth of biomedical Big Data presents both significant opportunities and challenges in the realm of knowledge discovery and translational applications within precision medicine. Efficient management, analysis, and interpretation of big data can pave the way for groundbreaking advancements in precision medicine. However, the unprecedented strides in the automated collection of large-scale molecular and clinical data have also introduced formidable challenges in terms of data analysis and interpretation, necessitating the development of novel computational approaches. Some potential challenges include the curse of dimensionality, data heterogeneity, missing data, class imbalance, and scalability issues. This overview article focuses on the recent …

Engravings, Secrets, And Interpretability Of Neural Networks, Nathaniel Hobbs, Periklis A Papakonstantinou, Jaideep Vaidya

Faculty, Staff and Student Publications

This work proposes a definition and examines the problem of undetectably engraving special input/output information into a Neural Network (NN). Investigation of this problem is significant given the ubiquity of neural networks and society's reliance on their proper training and use. We systematically study this question and provide (1) definitions of security for secret engravings, (2) machine learning methods for the construction of an engraved network, (3) a threat model that is instantiated with state-of-the-art interpretability methods to devise distinguishers/attackers. In this work, there are two kinds of algorithms. First, the constructions of engravings through machine learning training methods. Second, …

Federated Multiple Imputation For Variables That Are Missing Not At Random In Distributed Electronic Health Records, Yi Lian, Xiaoqian Jiang, Qi Long

Faculty, Staff and Student Publications

Large electronic health records (EHR) have been widely implemented and are available for research activities. The magnitude of such databases often requires storage and computing infrastructure that are distributed at different sites. Restrictions on data-sharing due to privacy concerns have been another driving force behind the development of a large class of distributed and/or federated machine learning methods. While missing data problem is also present in distributed EHRs, albeit potentially more complex, distributed multiple imputation (MI) methods have not received as much attention. An important advantage of distributed MI, as well as distributed analysis, is that it allows researchers to …

Cancer-Associated Mdm2 W329g Mutant Attenuates Ribosomal Stress-Mediated P53 Responses To Promote Cell Survival And Glycolysis, Sally Lien, Thomas P Whitbread, Shiva O Shastri, Jamie A Contreras, Ruiying Zhao, Yan Zhu

Faculty, Staff and Student Publications

Although amplification/overexpression is the predominant mechanism for the oncogenic properties of MDM2, an increasing number of MDM2 somatic missense mutations were identified in cancer patients with the recent advances in sequencing technology. Here, we characterized an MDM2 cancer-associated mutant variant W329G identified from a patient sample that contains a wild-type p53 gene. Trp329 is one of residues that were reported to be critical to MDM2's binding to ribosomal protein L11 (RPL11). We found that the MDM2 W329G mutant was resistant to the inhibitory effect of RPL11 on MDM2-mediated p53 ubiquitination and degradation, in line with its defect on RPL11 binding. …

Stroke Survivors’ Telemedicine Experiences During The Covid-19 Pandemic: A Phenomenological Investigation, Barbara Kimmel, Annette Walder, Anette Ovalle, Chethan P Venkatasubba Rao, Sean I Savitz, Mark Goldberg, Steven Warach, Salvador Cruz-Flores, Daiwai M Olson, Jane A Anderson

Faculty, Staff and Student Publications

PURPOSE: This study aimed to describe stroke survivors' experiences receiving telemedicine visits at the Lone Star Stroke Consortium during the COVID-19 pandemic.

MATERIALS AND METHODS: A qualitative descriptive phenomenological design was applied to gather patients' telemedicine experiences through in-depth interviews, using a study guide. Audio-recorded interviews were conducted via ZOOM and transcribed verbatim. Two independent reviewers used the Giorgi descriptive method to analyze the data and search for the essence of stroke survivors' follow-up telemedicine experiences during the COVID-19 pandemic.

RESULTS: Fifteen underserved patients were recruited: mean age, 51.8 (15.7), and 9 (60%) females. Three themes emerged: (1) vivid memory …

Automated Hiv Case Identification From The Mimic-Iv Database, Kai Jiang, Tru Cao

Faculty, Staff and Student Publications

Automatic HIV phenotyping is needed for HIV research based on electronic health records (EHRs). MIMIC-IV, an extension of MIMIC-III, contains more than 520,000 hospital admissions and has become a valuable EHR database for secondary medical research. However, there was no prior phenotyping algorithm to extract HIV cases from MIMIC-IV, which requires a comprehensive knowledge of the database. Moreover, previous HIV phenotyping algorithms did not consider the new HIV-1/HIV-2 antibody differentiation immunoassay tests that MIMIC-IV contains. Our work provided insight into the structure and data elements in MIMIC-IV and proposed a new HIV phenotyping algorithm to fill in these gaps. The …

Baseline Characteristics Of Sars-Cov-2 Vaccine Non-Responders In A Large Population-Based Sample, Ashraf Yaseen, Stacia M Desantis, Rachit Sabharwal, Yashar Talebi, Michael D Swartz, Shiming Zhang, Luis Leon Novelo, Cesar L Pinzon-Gomez, Sarah E Messiah, Melissa Valerio-Shewmaker, Harold W Kohl, Jessica Ross, David Lakey, Jennifer A Shuford, Stephen J Pont, Eric Boerwinkle

Faculty, Staff and Student Publications

INTRODUCTION: Studies indicate that individuals with chronic conditions and specific baseline characteristics may not mount a robust humoral antibody response to SARS-CoV-2 vaccines. In this paper, we used data from the Texas Coronavirus Antibody REsponse Survey (Texas CARES), a longitudinal state-wide seroprevalence program that has enrolled more than 90,000 participants, to evaluate the role of chronic diseases as the potential risk factors of non-response to SARS-CoV-2 vaccines in a large epidemiologic cohort.

METHODS: A participant needed to complete an online survey and a blood draw to test for SARS-CoV-2 circulating plasma antibodies at four-time points spaced at least three months …

Identification Of Novel 3d-Genome Altering And Complex Structural Variants Underlying Retinitis Pigmentosa Type 17 Through A Multistep And High-Throughput Approach, Suzanne E De Bruijn, Daan M Panneman, Nicole Weisschuh, Elizabeth L Cadena, Erica G M Boonen, Lara K Holtes, Galuh D N Astuti, Frans P M Cremers, Nico Leijsten, Jordi Corominas, Christian Gilissen, Anna Skowronska, Jessica Woodley, Andrew D Beggs, Vasileios Toulis, Di Chen, Michael E Cheetham, Alison J Hardcastle, Terri L Mclaren, Tina M Lamey, Jennifer A Thompson, Fred K Chen, John N De Roach, Isabella R Urwin, Lori S Sullivan, Susanne Roosing

Faculty, Staff and Student Publications

INTRODUCTION: Autosomal dominant retinitis pigmentosa type 17 (adRP, type RP17) is caused by complex structural variants (SVs) affecting a locus on chromosome 17 (chr17q22). The SVs disrupt the 3D regulatory landscape by altering the topologically associating domain (TAD) structure of the locus, creating novel TAD structures (neo-TADs) and ectopic enhancer-gene contacts. Currently, screening for RP17-associated SVs is not included in routine diagnostics given the complexity of the variants and a lack of cost-effective detection methods. The aim of this study was to accurately detect novel RP17-SVs by establishing a systematic and efficient workflow.

METHODS: Genetically unexplained probands diagnosed with adRP …

Circulating Sphingolipids In Relation To Cognitive Decline And Incident Dementia: The Cardiovascular Health Study, Kristine F Moseholm, Héléne T Cronjé, Manja Koch, Annette L Fitzpatrick, Oscar L Lopez, Marcia C De Oliveira Otto, W T Longstreth, Andrew N Hoofnagle, Kenneth J Mukamal, Rozenn N Lemaitre, Majken K Jensen

Faculty, Staff and Student Publications

Introduction: Whether circulating levels of sphingolipids are prospectively associated with cognitive decline and dementia risk is uncertain.

Methods: We measured 14 sphingolipid species in plasma samples from 4488 participants (mean age 76.2 years; 40% male; and 25% apolipoprotein E (APOE) ε4 allele carriers). Cognitive decline was assessed annually across 6 years using modified Mini-Mental State Examination (3MSE) and Digital Symbol Substitution Test (DSST). Additionally, a subset of 3050 participants were followed for clinically adjudicated dementia.

Results: Higher plasma levels of sphingomyelin-d18:1/16:0 (SM-16) were associated with a faster cognitive decline measured with 3MSE, in contrast, higher levels of sphingomyelin-d18:1/22:0 (SM-22) …

Impaired Health-Related Quality Of Life In Idiopathic Inflammatory Myopathies: A Cross-Sectional Analysis From The Covad-2 E-Survey, Akira Yoshida, Yuan Li, Vahed Maroufy, Masataka Kuwana, Syahrul Sazliyana Shaharir, Ashima Makol, Parikshit Sen, James B Lilleker, Vishwesh Agarwal, Esha Kadam, Phonpen Akawatcharangura Goo, Jessica Day, Marcin Milchert, Yi-Ming Chen, Dzifa Dey, Tsvetelina Velikova, Sreoshy Saha, Abraham Edgar Gracia-Ramos, Ioannis Parodis, Elena Nikiphorou, Ai Lyn Tan, Arvind Nune, Lorenzo Cavagna, Carlos Enrique Toro Gutiérrez, Carlo Vinicio Caballero-Uribe, Miguel A Saavedra, Samuel Katsuyuki Shinjo, Nelly Ziade, Lina El Kibbi, Johannes Knitza, Oliver Distler, Hector Chinoy, Vikas Agarwal, Rohit Aggarwal, Latika Gupta

Faculty, Staff and Student Publications

OBJECTIVES: to investigate health-related quality of life in patients with idiopathic inflammatory myopathies (IIMs) compared with those with non-IIM autoimmune rheumatic diseases (AIRDs), non-rheumatic autoimmune diseases (nrAIDs) and without autoimmune diseases (controls) using Patient-Reported Outcome Measurement Information System (PROMIS) instrument data obtained from the second COVID-19 vaccination in autoimmune disease (COVAD-2) e-survey database.

METHODS: Demographics, diagnosis, comorbidities, disease activity, treatments and PROMIS instrument data were analysed. Primary outcomes were PROMIS Global Physical Health (GPH) and Global Mental Health (GMH) scores. Factors affecting GPH and GMH scores in IIMs were identified using multivariable regression analysis.

RESULTS: We analysed responses from 1582 …

A Service-Oriented Approach To Clinical Trial Recruitment For Dementia And Brain Health: Methods And Case Examples Of Myalliance For Brain Health, Eric D Vidoni, Emma Swinford, Kelli Barton, Jaime Perales-Puchalt, C Michelle Niedens, Tina Lewandowski, Tiffany Schwasinger-Schmidt, Jill Peltzer, Joellen Wurth, Jannette Berkley-Patton, Ryan A Townley, W Todd Moore, Ashley R Shaw, Mickeal N Key, Erica Andrade, Melissa Robinson, Susan Sprague, Aiden Bondurant, Debra Brook, Jennifer Freund, Jeffrey M Burns

Faculty, Staff and Student Publications

Introduction: Recruitment of sufficient and diverse participants into clinical research for Alzheimer's disease and related dementias remains a formidable challenge. The primary goal of this manuscript is to provide an overview of an approach to diversifying research recruitment and to provide case examples of several methods for achieving greater diversity in clinical research enrollment.

Methods: The University of Kansas Alzheimer's Disease Research Center (KU ADRC) developed MyAlliance for Brain Health (MyAlliance), a service-oriented recruitment model. MyAlliance comprises a Primary Care Provider Network, a Patient and Family Network, and a Community Organization Network, each delivering tailored value to relevant parties while …

Causal Association Between Gut Microbiomes And Different Types Of Aneurysms: A Mendelian Randomization Study, Youjia Qiu, Yucheng Hou, Xingzhou Wei, Menghan Wang, Ziqian Yin, Minjia Xie, Aojie Duan, Chao Ma, Ke Si, Zhong Wang

Faculty, Staff and Student Publications

BACKGROUND: Previous studies suggests that gut microbiomes are associated with the formation and progression of aneurysms. However, the causal association between them remains unclear.

METHODS: A two-sample Mendelian randomization was conducted to investigate whether gut microbiomes have a causal effect on the risk of intracerebral aneurysm (IA), thoracic aortic aneurysm (TAA) and abdominal aortic aneurysm (AAA), and aortic aneurysm (AA). Single nucleotide polymorphisms (SNPs) smaller than the locus-wide significance level (1 × 10

RESULTS: The phylum

CONCLUSION: Our MR analysis confirmed the causal association of specific gut microbiomes with AAA, and these microbiomes were considered as protective factors. Our result …

Social Determinants Of Health Predict Readmission Following Covid-19 Hospitalization: A Health Information Exchange-Based Retrospective Cohort Study, Micaela N Sandoval, Jennifer L Mikhail, Melyssa K Fink, Guillermo A Tortolero, Tru Cao, Ryan Ramphul, Junaid Husain, Eric Boerwinkle

Faculty, Staff and Student Publications

INTRODUCTION: Since February 2020, over 104 million people in the United States have been diagnosed with SARS-CoV-2 infection, or COVID-19, with over 8.5 million reported in the state of Texas. This study analyzed social determinants of health as predictors for readmission among COVID-19 patients in Southeast Texas, United States.

METHODS: A retrospective cohort study was conducted investigating demographic and clinical risk factors for 30, 60, and 90-day readmission outcomes among adult patients with a COVID-19-associated inpatient hospitalization encounter within a regional health information exchange between February 1, 2020, to December 1, 2022.

RESULTS AND DISCUSSION: In this cohort of 91,007 …

Lysophospholipids Are Associated With Outcomes In Hospitalized Patients With Mild Traumatic Brain Injury, Aaron M Gusdon, Jude Pj Savarraj, John B Redell, Atzhiry Paz, Sarah Hinds, Angela Burkett, Glenda Torres, Xuefang Ren, Neeraj Badjatia, Georgene W Hergenroeder, Anthony N Moore, H Alex Choi, Pramod K Dash

Faculty, Staff and Student Publications

Mild traumatic brain injury (mTBI) accounts for 70-90% of all TBI cases. Lipid metabolites have important roles in plasma membrane biogenesis, function, and cell signaling. As TBI can compromise plasma membrane integrity and alter brain cell function, we sought to identify circulating phospholipid alterations after mTBI, and determine if these changes were associated with clinical outcomes. Patients with mTBI (Glasgow Coma Score [GCS] ≥13 and loss of consciousness <30 >min) were recruited. A total of 84 mTBI subjects were enrolled after admission to a level I trauma center, with the majority having evidence of traumatic intracranial hemorrhage on brain computed tomography …

Increased Resolvin E1 Production By Peripheral Blood Mononuclear Cells In Periodontitis Patients: Pilot Study, Lina J Suárez, Wilmer González-Duarte, Rodrigo Torrez-Velasco, Viviana Salinas, Nelly S Roa-Molina, Sindy M Muñoz, Luz-Stella Rodríguez, Roger M Arce, Jamil A Shibli, Adriana Rodríguez-Ciodaro

Faculty, Staff and Student Publications

This study quantified the production of the pro-resolving agent Resolvin E1 by peripheral blood mononuclear cells (PBMC) from 20 systemically healthy volunteers with and without periodontitis after stimulation with lipopolysaccharide (LPS) from Porphyromonas gingivalis (Pg). Ten periodontitis patients and 10 healthy volunteers (30-50 years old), matched by age and sex, were recruited. Peripheral blood mononuclear cells were isolated and stimulated in culture plates for 24 hours with Pg LPS. Resolvin E1 levels were measured in the supernatants by enzyme-linked immunosorbent assay. Significantly higher production of Resolvin E1 was observed in both groups when stimulated with LPS compared to baseline levels …

A Virtual Culinary Medicine Intervention For Ethnically Diverse Individuals With Type 2 Diabetes: Development Of The Nourishing The Community Through Culinary Medicine, Lorena Macias-Navarro, John Wesley Mcwhorter, Diana C Guevara, Sarah S Bentley, Shreela V Sharma, Jennifer H Torres, David Ai, Natalia I Heredia

Faculty, Staff and Student Publications

Virtual culinary medicine education interventions have the potential to improve dietary behaviors, nutrition knowledge, cooking skills, and health outcomes for ethnically diverse individuals with type 2 diabetes. The purpose of this study is to describe the adaptation of the Nourishing the Community through Culinary Medicine (NCCM) program for virtual delivery, and the protocol for pilot testing this intervention. The intervention includes five 90-min virtual NCCM sessions streamed live from a Teaching Kitchen. Feasibility outcomes are recruitment, retention, acceptability, and satisfaction. Short-term effectiveness outcomes are measured through self-administered questionnaires, including perceived health, average daily servings of fruits and vegetables, frequency of …

Circulating Sphingolipids In Relation To Cognitive Decline And Incident Dementia: The Cardiovascular Health Study, Kristine F Moseholm, Héléne T Cronjé, Manja Koch, Annette L Fitzpatrick, Oscar L Lopez, Marcia C De Oliveira Otto, W T Longstreth, Andrew N Hoofnagle, Kenneth J Mukamal, Rozenn N Lemaitre, Majken K Jensen

Faculty, Staff and Student Publications

INTRODUCTION: Whether circulating levels of sphingolipids are prospectively associated with cognitive decline and dementia risk is uncertain.

METHODS: We measured 14 sphingolipid species in plasma samples from 4488 participants (mean age 76.2 years; 40% male; and 25% apolipoprotein E (

RESULTS: Higher plasma levels of sphingomyelin-d18:1/16:0 (SM-16) were associated with a faster cognitive decline measured with 3MSE, in contrast, higher levels of sphingomyelin-d18:1/22:0 (SM-22) were associated with slower decline in cognition measured with DSST. In Cox regression, higher levels of SM-16 (hazard ration [HR] = 1.24 [95% confidence interval [CI]: 1.08-1.44]) and ceramide-d18:1/16:0 (Cer-16) (HR = 1.26 [95% CI: 1.10-1.45]) …

Trio Rvemvs: A Bayesian Framework For Rare Variant Association Analysis With Expectation-Maximization Variable Selection Using Family Trio Data, Duo Yu, Matthew Koslovsky, Margaret C Steiner, Kusha Mohammadi, Chenguang Zhang, Michael D Swartz

Faculty, Staff and Student Publications

It is commonly reported that rare variants may be more functionally related to complex diseases than common variants. However, individual rare variant association tests remain challenging due to low minor allele frequency in the available samples. This paper proposes an expectation maximization variable selection (EMVS) method to simultaneously detect common and rare variants at the individual variant level using family trio data. TRIO_RVEMVS was assessed in both large (1500 families) and small (350 families) datasets based on simulation. The performance of TRIO_RVEMVS was compared with gene-level kernel and burden association tests that use pedigree data (PedGene) and rare-variant extensions of …

Variant Of The Lactase Lct Gene Explains Association Between Milk Intake And Incident Type 2 Diabetes, Kai Luo, Guo-Chong Chen, Yanbo Zhang, Jee-Young Moon, Jiaqian Xing, Brandilyn A Peters, Mykhaylo Usyk, Zheng Wang, Gang Hu, Jun Li, Elizabeth Selvin, Casey M Rebholz, Tao Wang, Carmen R Isasi, Bing Yu, Rob Knight, Eric Boerwinkle, Robert D Burk, Robert C Kaplan, Qibin Qi

Faculty, Staff and Student Publications

Cow's milk is frequently included in the human diet, but the relationship between milk intake and type 2 diabetes (T2D) remains controversial. Here, using data from the Hispanic Community Health Study/Study of Latinos, we show that in both sexes, higher milk intake is associated with lower risk of T2D in lactase non-persistent (LNP) individuals (determined by a variant of the lactase LCT gene, single nucleotide polymorphism rs4988235 ) but not in lactase persistent individuals. We validate this finding in the UK Biobank. Further analyses reveal that among LNP individuals, higher milk intake is associated with alterations in gut microbiota (for …

The Relationship Of Neighborhood Disadvantage, Biological Aging, And Psychosocial Risk And Resilience Factors In Heart Failure Incidence Among Black Persons: A Moderated Mediation Analysis, Ganga S Bey, James R Pike, Anthony S Zannas, Qian Xiao, Bing Yu, Amil M Shah, Priya Palta

Faculty, Staff and Student Publications

Objectives: Deprived living environments contribute to greater heart failure (HF) risk among non-Hispanic Black persons, who disproportionately occupy disadvantaged neighborhoods. The mechanisms for these effects are not fully explicated, partially attributable to an insufficient understanding of the individual factors that contribute additional risk or resilience to the impact of neighborhood disadvantage on health. The objective of this study was, therefore, to clarify the complex pathways over which such exposures act to facilitate more targeted, effective interventions. Given the evidence for a mediating role of biological age and a moderating role of individual psychosocial characteristics in the neighborhood disadvantage-HF link, we …

Self-Perception Of Mental Health, Covid-19 And Associated Sociodemographic-Contextual Factors In Latin America, Pablo Roa, Guillermo Rosas, Gloria Isabel Niño-Cruz, Sergio Mauricio Moreno-López, Juliana Mejía-Grueso, Haney Aguirre-Loaiza, Javiera Alarcón-Aguilar, Rodrigo Reis, Adriano Akira Ferreira Hino, Fernando López, Deborah Salvo, Andrea Ramírez-Varela

Faculty, Staff and Student Publications

This study aimed to estimate the prevalence of alterations in self-perceived mental health during the COVID-19 pandemic and their associated factors in four Latin American countries. This is a cross-sectional study based on data collected from adults in 2021 through the Collaborative Response COVID-19 Survey by the MacDonnell Academy at Washington University in St. Louis (United States). The sample was composed of 8,125 individuals from Brazil, Colombia, Mexico, and Chile. A generalized linear model for a binary outcome variable with a logistic link and fixed country effects was used. There were 2,336 (28.75%) individuals who considered having suffered alterations in …

Prozone Masks Elevated Sars-Cov-2 Antibody Level Measurements, Micaela N Sandoval, Samuel P Mcclellan, Stephen J Pont, Jessica A Ross, Michael D Swartz, Mark A Silberman, Eric Boerwinkle

Faculty, Staff and Student Publications

We report a prozone effect in measurement of SARS-CoV-2 spike protein antibody levels from an antibody surveillance program. Briefly, the prozone effect occurs in immunoassays when excessively high antibody concentration disrupts the immune complex formation, resulting in a spuriously low reported result. Following participant inquiries, we observed anomalously low measurement of SARS-CoV-2 spike protein antibody levels using the Roche Elecsys® Anti-SARS-CoV-2 S immunoassay from participants in the Texas Coronavirus Antibody Research survey (Texas CARES), an ongoing prospective, longitudinal antibody surveillance program. In July, 2022, samples were collected from ten participants with anomalously low results for serial dilution studies, and a …

Acceptability Of Anal Human Papillomavirus Home Self-Sampling And Clinician Sampling Among Sexual And Gender Minority Individuals In Milwaukee, Wisconsin: The Prevent Anal Cancer Self-Swab Study, Jenna Nitkowski, Anna R Giuliano, Tim Ridolfi, Elizabeth Chiao, Maria E Fernandez, Vanessa Schick, Michael D Swartz, Jennifer S Smith, Alan G Nyitray

Faculty, Staff and Student Publications

Purpose: Anal cancer has disproportionately high incidence among sexual minority men. We compared acceptability of home versus clinic human papillomavirus (HPV) anal swabbing.

Methods: The Prevent Anal Cancer Self-Swab Study recruited sexual and gender minority individuals in Milwaukee, Wisconsin. Eligible participants were randomized to a home or clinic arm. Home participants received a mailed anal HPV self-sampling kit. Clinic participants attended a clinic appointment where a clinician collected an anal HPV swab. We examined acceptability (overall thoughts, comfort with method, pain, and future willingness to swab) of home versus clinic swabbing using postswab survey responses.

Results: A total of 191 …

Human Papillomavirus (Hpv) Vaccination In Males: Associations Of Hpv-Related Knowledge And Perceptions With Hpv Vaccination Intention Among Korean Mothers Of Boys, Jihye Choi, Paula Cuccaro, Christine Markham, Sooyoun Kim, Irene Tamí-Maury

Faculty, Staff and Student Publications

OBJECTIVES: Human papillomavirus (HPV) vaccination rates among males are suboptimal worldwide. In South Korea, little is known about parents' intention to vaccinate boys against HPV. Therefore, we examined the associations of HPV-related knowledge and perceptions with vaccination intention among Korean mothers of boys.

METHODS: From August to December 2021, eligible mothers were surveyed about HPV-related knowledge, perceptions, and intention to vaccinate their sons against HPV. Mothers were categorized into no intention, contemplating, and intention to vaccinate groups. Using analysis of variance, we compared the groups' scores on the scales measuring HPV-related knowledge, attitudes, and beliefs. We conducted a multinomial logistic …

A Randomized Controlled Study Of Auricular Point Acupressure To Manage Chemotherapy-Induced Neuropathy: Study Protocol, Nada Lukkahatai, Michael V Nguyen, Jingyu Zhang, Yu-Min Cho, Chitchanok Benjasirisan, Heijingzi Monica Jia, Claudia M Campbell, Jennifer Kawi, Hulin Wu, Hongyu Wang, Rupsikha Bora, Johannes Thrul, Constance M Johnson, Thomas J Smith

Faculty, Staff and Student Publications

Objective: Chemotherapy-induced neuropathy (CIN) significantly impacts cancer patients, leading to functional disability, diminished quality of life, and increased healthcare costs amid the ongoing opioid crisis. Auricular point acupressure (APA), a non-invasive and non-pharmacological alternative, has shown potential for alleviating the pain, numbness, and tingling associated with CIN. This study aims to assess the efficacy of APA for CIN symptoms and physical function and to examine the mechanisms underlying APA's effects on CIN.

Methods: This is a three-arm randomized controlled clinical trial protocol. Patients aged 18 and older who are experiencing CIN are randomly assigned to one of the three groups: …

Evaluation Of Ion Chamber Response For Applications In Electron Flash Radiotherapy, Kevin Liu, Shannon Holmes, Brian Hooten, Emil Schüler, Sam Beddar

Faculty, Staff and Student Publications

Ion chambers are required for calibration and reference dosimetry applications in radiation therapy (RT). However, exposure of ion chambers in ultra-high dose rate (UHDR) conditions pertinent to FLASH-RT leads to severe saturation and ion recombination, which limits their performance and usability. The purpose of this study was to comprehensively evaluate a set of commonly used commercially available ion chambers in RT, all with different design characteristics, and use this information to produce a prototype ion chamber with improved performance in UHDR conditions as a first step toward ion chambers specific for FLASH-RT. The Advanced Markus and Exradin A10, A26, and …

Gut Microbiome And Hepatic Transcriptomic Determinants Of Hcc Development In Mice With Metabolic Dysfunction-Associated Steatohepatitis, Lillian I Dolapchiev, Kristyn A Gonzales, Lorenzo R Cruz, Mihai Gagea, Heather L Stevenson, Suet-Ying Kwan, Laura Beretta

Faculty, Staff and Student Publications

Purpose: Hepatocellular carcinoma (HCC) related to metabolic dysfunction-associated steatotic liver disease (MASLD) is often diagnosed at a late stage, and its incidence is increasing. Predictive biomarkers are therefore needed to identify individuals at high risk of HCC. We aimed to characterize the gut microbiome and hepatic transcriptome associated with HCC development in female mice with hepatocyte-deletion of Pten (HepPten -). These mice present with large variations in HCC development, making them a powerful model for biomarker discovery.

Methods & results: Sequencing of stool 16S and hepatic RNA was performed on a first set of mice. Among all liver histology …