Digital Commons Network^™

Explainable Convolutional Neural Network Model Provides An Alternative Genome-Wide Association Perspective On Mutations In Sars-Cov-2, Parisa C. Hatami, Richard Annan, Luis Miranda, Jane L. Gorman, Mengjun Xie, Letu Qingge, Hong Qin

Computer Science Faculty Publications

Identifying informative genomic features in SARS-CoV-2 can help clarify patterns of viral evolution. In this study, we developed an explainable convolutional neural network (CNN) model to classify SARS-CoV-2 genomic sequences into the WHO-designated Variants of Concern (VOCs), Alpha, Beta, Gamma, Delta, and Omicron. Using a balanced dataset of genomes, the classification CNN achieved 99.96% accuracy on the held-out test set. To interpret the model’s predictions, we applied SHapley Additive exPlanations (SHAP) to estimate the contribution of each nucleotide position to VOC-label prediction and compared aggregated attributions with a chi-square GWAS baseline applied to the same categorical labels. SHAP prioritized several …

A Comparative Analysis Of Explainable Ai (Xai) Techniques For Transparent And Reliable Image Classification, Sovon Chakraborty, Shakib Mahmud Dipto, Kevin R. Pilkiewicz, Michael L. Mayo, Pratip Rana

Computer Science Faculty Publications

Evaluating the trustworthiness of black-box machine learning models remains a significant methodological challenge. Their lack of transparency and interpretability limits applicability, because stakeholders often seek transparency before trusting the results of black-box machine learning models. Explainable AI (XAI) methods provide for human-understandable justifications and informed decision-making of these black-box architectures. Therefore, it is imperative to select the proper XAI model tailored to specific tasks. In this research, we focus on examining four XAI techniques: PEEK, LRP, GRAD-CAM, and LIME to understand how they perform against each other for image classification tasks. We evaluate the performance, robustness, generalizability, noise stability, and …

Guidelines For Automatic Grading Of Student Essays Using Large Language Models, Diwakar Yalpi, Sruta Keerti Kasula, Ravi Mukkamala

Computer Science Faculty Publications

Automated essay evaluation using large language models (LLMs) has emerged as a promising approach to support scalable and consistent educational assessment. However, the effectiveness of LLM-based grading varies significantly across evaluation dimensions and is highly influenced by prompt design and model selection. In this study, we evaluate five state-of-the-art LLMs across five rubric-based categories: Relevance to Question, Reasoning and Critical Thinking, Evidence and Examples, Organization, and Clarity and Writing Quality. We systematically investigate the impact of three prompting strategies, including rubric-only prompting, exemplar-based prompting (with and without rubric guidance)(Original and Refined prompt designs) incorporating structured instructions. Additionally, a prompt ablation …

Toward An Event-Level Analysis Of Hadron Structure Using Differential Programming, Kevin Braga, Markus Diefenthaler, Steven Goldenberg, Daniel Lersch, Yaohang Li, Jian-Wei Qiu, Kishansingh Rajput, Felix Ringer, Nobuo Sato, Malachi Schram

Computer Science Faculty Publications

Reconstructing the internal properties of hadrons in terms of fundamental quark and gluon degrees of freedom is a central goal in nuclear and particle physics. This effort lies at the core of major experimental programs, such as the Jefferson Lab 12 GeV program and the upcoming Electron-Ion Collider. A primary challenge is the inherent inverse problem: converting large-scale observational data from collision events into the fundamental quantum correlation functions (QCFs) that characterize the microscopic structure of hadronic systems within the theory of QCD. Recent advances in scientific computing and machine learning have opened new avenues for addressing this challenge using …

Memebuddy: Dialog-Style Audio Representations For Engaging Non-Visual Meme Experiences, Chirag Bhansali, Vikas Ashok, Hae-Na Lee

Computer Science Faculty Publications

Image memes are a pervasive form of online communication, widely used to convey humor, opinions, and cultural references. Prior work has explored making memes accessible to blind users, primarily through auto-generated descriptive captions. While these approaches improve comprehensibility and sometimes incorporate prosodic or emotional cues, they often fail to capture the humor, narrative structure, and contextual nuances that make memes engaging. We present MemeBuddy, a system that models memes as dialog, generating structured, multi-turn audio representations using role-based speakers. MemeBuddy reinterprets a meme as a conversation between two speakers, integrating extracted meme text with contextual knowledge implicitly inferred by a …

Combinatorial Effects Of Multi-Site Stimulation On Depression-Related Brain Regions: Clinical Data Analysis And Predictive Modeling, Atefeh Ghazavi, Koorosh Mirpour, Masoud Soroush, Eleonora Bartoli, Nisha Giridharan, Denise Oswalt, Nicole R Provenza, Anusha Allawala, Wayne Goodman, Sameer A Sheth, Nader Pouratian

Faculty, Staff and Students Publications

Background: Despite growing evidence supporting deep brain stimulation (DBS) for treatment- resistant depression (TRD), how stimulation delivered across hemispheres or across multiple targets interact to shape large-scale network activity remains poorly characterized.

Objective: Using a unique opportunity to simultaneously stimulate the subcallosal cingulate (SCC) and ventral capsule/ventral striatum (VC/VS) in subjects with TRD while recording neural activity across putative prefrontal networks underlying depression via intracranial electrodes, we investigated whether bilateral or multi-target stimulation has additive, synergistic/super-additive, or antagonistic/sub-additive effects on power modulation across depression-related brain networks.

Methods: Four DBS leads, and ten stereo-electroencephalography (sEEG) leads were implanted in depression-related prefrontal …

Time Pressures And Sociocultural Constraints Affecting Access To Early Abortion Care Under Texas' "6-Week" Ban, Kari White, Whitney Arey, Anna Chatillon, Anitra D Beasley, Cecili Chadwick, Asha Dane'el, Ophra Leyser-Whalen, Tracy A Weitz

Faculty, Staff and Students Publications

Introduction: In 2021, Texas Senate Bill 8 (SB8) prohibited abortion after detection of embryonic cardiac activity and was often referred to as a "6-week ban." Limited evidence exists about how these laws intersect with people's processes seeking pregnancy confirmation and navigating barriers to abortion care.

Methods: Between October 2021 and August 2022, we recruited Texans ≥ 15 years of age who were seeking abortion using online ads and flyers placed in out-of-state abortion-providing facilities. Participants completed in-depth interviews, and we coded transcripts using inductive and deductive coding. This analysis explores participants' discussions of time needed for pregnancy confirmation, decision making, …

A Survey On Generative Ai For Detector Effects Unfolding In Particle And Nuclear Physics, Tareq Alghamdi, Tommaso Vittorini, Jitao Xu, Marco Battaglieri, Derek I. Glazier, Glòria Montaña, Giorgio Foti, Alessandro Pilloni, Nobuo Sato, Yaohang Li

Computer Science Faculty Publications

In particle and nuclear physics, “detector effects unfolding” can be viewed as a highdimensional inverse problem whose goal is to recover the true event distributions from observed experimental data corrupted by detector-induced distortions. Recent advances in generative AI have positioned data-driven and machine learning-based approaches as powerful alternatives to traditional unfolding techniques, offering superior scalability to high-dimensional data, capability of learning complex detector responses, and the ability to operate directly at the event level. We survey state-of the-art generative AI-based models for detector folding and unfolding. We review existing architectures and training strategies, and highlight recent methodological advances and open …

Replicatorbench: Benchmarking Llm Agents For Replicability In Social And Behavioral Sciences, Bang Nguyen, Dominik Soós, Qian Ma, Rochana R. Obadage, Zack Ranjan, Sai Koneru, Timothy M. Errington, Shakhlo Nematova, Sarah Rajtmajer, Jian Wu, Meng Jiang

Computer Science Faculty Publications

The literature has witnessed an emerging interest in developing and evaluating AI agents for automated assessment of research claims in scientific papers. Existing benchmarks focus primarily on the computational aspect of this task, testing agents' ability to reproduce or replicate research outcomes when having access to the code and data. This setting, while foundational, (1) fails to capture the inconsistent availability of new data for replication as opposed to reproduction, and (2) lacks ground-truth diversity by focusing exclusively on fully reproducible or replicable papers, thereby failing to evaluate an agent's ability to identify non-replicable research. Furthermore, most benchmarks only evaluate …

Toward A Centralized Cross Domain Database For Reproducibility And Replicability Studies, Rochana R. Obadage, Sarah Rajtmajer, Jian Wu

Computer Science Faculty Publications

Reproducibility and replicability (R&R) are structural properties of scientific knowledge, yet existing R&R evidence remains fragmented across domains and initiatives. We present an ongoing effort to develop a centralized, cross-domain database of R&R studies that links published works to their corresponding R&R attempts and supporting assessments. Bibliographic metadata and title-based matching through scholarly indexing services identify canonical records and persistent identifiers. A heuristic, uncertainty-aware matching algorithm supports intra-source and inter-source deduplication, complemented by manual review of ambiguous cases. A unified schema accommodates heterogeneous assessment frameworks and records original studies, R&R studies, assessments, aggregated summaries, and source provenance. The database currently …

Dynamic Progression Of Ectopic Lymphoid Structure Formation In Lacrimal Glands Of A Sjögren’S Disease Murine Model, Sara Abdelhamid, Alison V Ramirez, Emre Aksan, Elizaveta A Demianova, Cintia S De Paiva, Maria C Edman, J Andrew Mackay, Sarah F Hamm-Alvarez

Faculty, Staff and Students Publications

Background: Sjögren's Disease (SjD) is a chronic autoimmune condition characterized by lymphocytic infiltration of lacrimal glands (LG) and salivary glands (SG). In SG, these immune structures have properties of ectopic lymphoid structures (ELS) and appear to play a critical role in disease pathology. While the presence of ELS in patients' SG biopsies is linked to disease severity, their presence and composition in LG has not been well characterized.

Methods: The properties and time course of apparent ELS development in LG from the male non-obese diabetes free (NOR) sub-strain of the Non-Obese Diabetic (NOD) mice was investigated at stages encompassing early …

Updates In Mycobacterial Keratitis Diagnosis And Treatment, Uma L Balakrishnan, Ryan T Wallace, Patricia Chévez-Barrios, Alejandro Arboleda, Masih U Ahmed

Faculty, Staff and Students Publications

Mycobacterial keratitis is an uncommon but challenging form of infectious keratitis, often associated with postsurgical eyes. Clinical presentation is variable and may be difficult to recognize, resulting in delays in diagnosis and challenges in management. Traditional diagnostic techniques from corneal scrapings are limited by slow organism growth and may yield negative results. Treatment is challenging due to antimicrobial resistance and typically requires prolonged multidrug therapy. Advances in diagnostic modalities, antimicrobial therapies, surgical approaches, and adjunctive treatments such as corneal crosslinking have improved clinicians' ability to mitigate or avoid severe visual consequences. Despite these developments, optimal management strategies remain incompletely defined, …

The ‘Obesity Paradox’ In Patients Undergoing Transcatheter Aortic Valve Implantation. A Specialized Narrative Review, Johao Escobar, Iqra Riaz, Muzamil Khawaja, Hafeez Ul Hassan Virk, Joshua Hahn, Fu''Ad Al-Azzam, Zhen Wang, Mahboob Alam, Markus Strauss, Chayakrit Krittanawong

Faculty, Staff and Students Publications

Obesity has long been identified as a noteworthy risk factor for cardiovascular diseases, including aortic stenosis. Nevertheless, an unexplained phenomenon known as the obesity paradox has arisen in the context of transcatheter aortic valve implantation (TAVI), inquiring conventional beliefs. The obesity paradox refers to better clinical outcomes observed in obese individuals undergoing TAVI. These include reduced all-cause mortality, lower rates of procedural complications, and improved long-term survival rates compared to their lean counterparts. Several theories have been proposed to explain the obesity paradox in TAVI. One of the most popular is the adipose tissue-mediated cardioprotective effect hypothesis. It is known …

Organ Chips And Translational Research: Identifying And Examining New Ethical Issues, Melanie Jeske

Center for Medical Ethics and Health Policy Staff Publications

Organ chips, also known as organ-on-a-chip devices, tissue chips, or microphysiological systems, have emerged over the last decade as a promising translational technology amidst growing concern about the translational crisis between laboratory research and patient bedside. Pointing to high rates of failure between nonhuman animal models and safety and efficacy in humans, organ chips and similar new approach methods have attracted substantial public and private investment. As human-cell-based alternatives to animal models, organ chips promise more predictive, efficient, and ethical platforms for pharmaceutical and toxicity testing. Engineered cultivation systems that enable cells to assemble into tissue-like structures (e.g. kidney, brain, …

Anything But Endo: Diagnostic Buck-Passing In Endometriosis Diagnosis, Rita Dexter, Megan Kitts, Heather Welty, Melanie Jeske

Center for Medical Ethics and Health Policy Staff Publications

People living with endometriosis, a disease in which tissue similar to the lining of the uterus grows elsewhere in the body, often experience prolonged diagnostic journeys because of symptom variability, normalisation of period pain and other symptoms, and lack of awareness of the condition. In this article, we analyse the endometriosis diagnostic journey through the lens of epistemic injustice. Drawing on in-depth interviews with 52 people living with endometriosis in the United States, we introduce the concept of diagnostic buck-passing to characterise the phenomenon wherein individuals who seek treatment for their symptoms end up stuck in a cycle of seeing …

Putting The L In Elsi: Legal Methods For Bioethics Research, Anya E R Prince, Benjamin Berkman, Donald Ford, Dov Fox, Christi Guerrini, Amy Koopmann, Natalie Ram, Jessica L Roberts, Kayte Spector-Bagdady, Sonia Suter

Center for Medical Ethics and Health Policy Staff Publications

Lawyers and law professors are increasingly involved in interdisciplinary scientific teams and grant research to answer ethical, legal and policy questions related to biomedical topics. Yet, the methods that lawyers use to conduct legal research and analysis are not always familiar to scientists and social scientists conducting peer review of a proposed project with legal aims or a publication reporting a legal study. To better facilitate interdisciplinary ethical, legal, and social implications collaboration, there is a need to better explain how legal research methodologies can provide robust tools to address a range of nuanced biomedical questions. This paper explores …

Differences Between Government, Consortium, And Private Database Stewards Impacting The Genomic Data Market: A Survey Of U.S. Academic Genetic Researchers., Amanda K Greene, J Denard Thomas, Kaitlyn Jaffe, Luyun Chen, Kerry A Ryan, Brian J Zikmund-Fisher, J Scott Roberts, Amy L Mcguire, Katherine Hendy, Kayte Spector-Bagdady

Center for Medical Ethics and Health Policy Staff Publications

Background: Despite major shifts in U.S. federal government data sharing requirements, their impact, and relation to researcher choice of database, are underexplored. This study surveyed genetic researchers regarding trends, priorities, perceptions of quality, impact on research outcomes, and genomic data sharing and use across government, consortium, and private databases.

Methods: As part of an exploratory sequential mixed methods project, we surveyed 294 U.S.-based genomic academic researchers.

Results: Genetic researchers generally have a choice between databases, which allows them to prioritize data quality. This might explain recent trends toward the use of government and consortium databases away from private ones. Respondents …

Can I Get A Witness? The Ethical Dimensions Of Family Presence In Patient Suffering, Jennifer Blumenthal-Barby, Trevor M Bibler, Holland Kaplan, Adam Omelianchuk, Joanna Smolenski

Center for Medical Ethics and Health Policy Staff Publications

For patients who are suffering, the bedside presence of a family member can provide comfort, and many people hold that there is moral value in being present with a conscious, suffering patient. Yet what is the moral significance of the absence of family members when a patient is minimally conscious or unconscious and not aware of their absence? Clinicians are often troubled when family members and surrogate decision-makers who are able to spend a significant amount of time at an unconscious, seriously ill patient's bedside do not do so. Clinicians feel frustrated that they must bear the burden of witnessing …

Toward Ethical Provenance Tracking: The Ga4gh Model Data Access Agreement (Daa), Alexander Bernier, Bartha Maria Knoppers, Jonathan Lawson, Robyn Mcdougall, Maili Raven-Adams, Vasiliki Rahimzadeh

Center for Medical Ethics and Health Policy Staff Publications

Purpose: Standardizing contractual clauses that govern data access enables research institutions to responsibly steward genomic and related health data while enabling its efficient downstream reuse.

Methods: We describe a document analysis study using both qualitative and comparative law analytical approaches to identify the most common categories of clauses from 29 different data access agreements used by human biomedical research consortia globally. We furthermore characterized the legal positions and standard practices for each common element of the agreement and synthesized across them to develop model clauses. A total of 3 discussion sessions were organized virtually to refine the clauses among members …

Summary Of Beaver And Iron Counties’ Water Conservation And Provisioning Strategies, Lisa Welsh, Joanna Endter-Wada, Burdette Barker, Bethany Neilson, Anna Mcentire, Melissa Stamp, Brian Steed

Reports

This report focuses on water conservation and provisioning strategies that both Beaver and Iron Counties are pursuing to help meet their citizens’ current and future water needs and to contribute to statewide water conservation efforts. It primarily relies on publicly available data from state, county, conservancy district, and city databases, plans, and documents. The purposes of this document are to provide regional context for understanding water use in Beaver and Iron Counties and to describe water conservation strategies that can influence the trajectories of their future water use. 

In both Beaver and Iron Counties, agriculture remains the primary user of …

Refining Aicardi Syndrome Diagnostic Criteria: An Expert-Based Consensus Using A Modified Delphi Approach, Silvia Masnada, Valentina De Giorgis, Umberto Carugo, Nadia Bahi-Buisson, Mara Cavallin, Mark Corbett, Manuela Formica, Jozef Gecz, Natalia Petros, Emilio Perucca, Anna Pichiecchio, Paolo Fusar Poli, Elliott H Sherr, Ignatia B Van Den Veyver, Federico Zara, Martin Geroldinger, Pierangelo Veggiotti, Alexis Arzimanoglou

Duncan NRI Faculty and Staff Publications

Background and objectives: Aicardi syndrome (AIC) is a rare neurodevelopmental disorder historically characterised by the presence of chorioretinal lacunae, corpus callosum agenesis, infantile spasms and several supporting features that aid in diagnosis. However, the unclear aetiology and evolving diagnostic tools have led to ongoing reconsideration of the criteria, based on individual approaches. Our study aimed to establish, for the first time, an expert-based consensus on diagnostic criteria for AIC by integrating both existing and novel ones.

Methods: A geographically diverse and multidisciplinary group of expert physicians was invited to participate in a modified Delphi study, to achieve consensus on major, …

Telethon Undiagnosed Disease Program: Structured Approach To Solving Rare Childhood-Onset Genetic Diseases, Annalaura Torella, Manuela Morleo, Carmine Spampanato, Raffaele Castello, Mariateresa Zanobio, Giulio Piluso, Pasquale Di Letto, Maria Elena Onore, Sarah Iffat Rahman, Francesco Musacchia, Michele Pinelli, Giuseppina Vitiello, Giulia De Riso, Angelo Selicorni, Milena Mariani, Cecilia Daolio, Valeria Capra, Marcello Scala, Francesca Nardecchia, Serena Galosi, Mario Mastrangelo, Filippo Manti, Donatella Milani, Corrado Romano, Donatella Greco, Claudia Ciaccio, Stefano D'Arrigo, Arianna De Laurentiis, Antonietta Coppola, Marcella Zollino, Domizia Pasquetti, Federica Francesca L'Erario, Albina Tummolo, Claudia Santoro, Livia Garavelli, Carla Marini, Stefania Bigoni, Alfonsina Tirozzi, Viviana Cetrangolo, Giancarlo Parenti, Diego Di Bernardo, Angela Peron, Silvia Maitz, Andrea Accogli, Gerarda Cappuccio, Sandro Banfi, Giorgio Casari, Andrea Ballabio, Nicola Brunetti-Pierri, Vincenzo Nigro, Telethon Undiagnosed Disease Study Group

Duncan NRI Faculty and Staff Publications

Purpose: Many children with severe genetic disorders remain undiagnosed despite advanced genomic technologies. Early diagnosis is vital for prognosis, genetic counseling, and targeted treatment development. This study aims to increase diagnostic rates in complex pediatric cases and foster research into disease mechanisms.

Methods: Launched in 2016, the Telethon Undiagnosed Diseases Program provides a structured, multicenter approach to rare disease diagnosis. Standardized case submission criteria ensured consistent clinical data collection. Children with severe, multisystemic disorders and prior negative genetic tests were eligible. After case approval, trio-based exome sequencing was performed, with regular reanalysis for unsolved cases until December 2024.

Results: Between …

Spatial Evolution In Temporal Dynamics Of Hemodynamic Response Function In Human Superior Colliculi With Ultra-High-Resolution Mri At 9.4t, Nooshin J Fesharaki, Artemy Vinogradov, David Ress, Jung Hwan Kim

Faculty, Staff and Student Publications

The superior colliculus (SC) plays a crucial role in multisensory integration, visual information processing, saccadic target selection, visual selective attention, and decision making. In particular, the SC has a key role in oculomotor coordination, following a rostro-caudal organization. The rostral SC, which corresponds to foveal representation, is linked to fixation, microsaccades, smooth pursuit, and vergence adjustments. In contrast, the caudal SC, representing more peripheral visual field, is associated with the large gaze shifts (saccades). However, evidence regarding whether this functional gradient is preserved in the human SC remains limited. In this study, we employed a sequence-following visual-motor task to specifically …

Genome-Wide Gene-Sleep Interaction Study Identifies Novel Lipid Loci In 732,564 Participants, Raymond Noordam, Wenyi Wang, Pavithra Nagarajan, Heming Wang, Michael R Brown, Amy R Bentley, Qin Hui, Aldi T Kraja, John L Morrison, Jeffrey R O'Connel, Songmi Lee, Karen Schwander, Traci M Bartz, Lisa De Las Fuentes, Mary F Feitosa, Xiuqing Guo, Xu Hanfei, Sarah E Harris, Zhijie Huang, Mart Kals, Christophe Lefevre, Massimo Mangino, Yuri Milaneschi, Peter J Van Der Most, Natasha L Pacheco, Nicholette D Palmer, Varun Rao, Rainer Rauramaa, Quan Sun, Yasuharu Tabara, Dina Vojinovic, Yujie Wang, Stefan Weiss, Qian Yang, Wei Zhao, Wanying Zhu, Md Abu Yusuf Ansari, Hugues Aschard, Pramod Anugu, Themistocles L Assimes, John Attia, Laura D Baker, Christie Ballantyne, Lydia Bazzano, Eric Boerwinkle, Brain Cade, Hung-Hsin Chen, Wei Chen, Yii-Der Ida Chen, Zekai Chen, Kelly Cho, Ileana De Anda-Duran, Latchezar Dimitrov, Anh Do, Todd Edwards, Tariq Faquih, Aroon Hingorani, Susan P Fisher-Hoch, J Michael Gaziano, Sina A Gharib, Ayush Giri, Mohsen Ghanbari, Hans Jörgen Grabe, Mariaelisa Graff, C Charles Gu, Jiang He, Sami Heikkinen, James Hixson, Yuk-Lam Ho, Michelle M Hood, Serena C Houghton, Carrie A Karvonen-Gutierrez, Takahisa Kawaguchi, Tuomas O Kilpeläinen, Pirjo Komulainen, Henry J Lin, Gregorio V Linchangco, Annemarie I Luik, Jintao Ma, James B Meigs, Joseph B Mccormick, Cristina Menni, Ilja M Nolte, Jill M Norris, Lauren E Petty, Hannah G Polikowsky, Laura M Raffield, Stephen S Rich, Renata L Riha, Thomas C Russ, Edward A Ruiz-Narvaez, Colleen M Sitlani, Jennifer A Smith, Harold Snieder, Tamar Sofer, Botong Shen, Jingxian Tang, Kent D Taylor, Maris Teder-Laving, Rima Triatin, Michael Y Tsai, Henry Völzke, Kenneth E Westerman, Rui Xia, Jie Yao, Kristin L Young, Ruiyuan Zhang, Alan B Zonderman, Xiaofeng Zhu, Jennifer E Below, Simon R Cox, Michelle Evans, Myriam Fornage, Ervin R Fox, Nora Franceschini, Sioban D Harlow, Elizabeth Holliday, M Arfan Ikram, Tanika Kelly, Timo A Lakka, Deborah A Lawlor, Changwei Li, Ching-Ti Liu, Reedik Mägi, Alisa K Manning, Fumihiko Matsuda, Alanna C Morrison, Matthias Nauck, Kari E North, Brenda Wjh Penninx, Michael A Province, Bruce M Psaty, Jerome I Rotter, Tim D Spector, Lynne E Wagenknecht, Ko Willems Van Dijk, Lifelines Cohort Study, Million Veteran Program, Cashell E Jaquish, Peter Wf Wilson, Patricia A Peyser, Patricia B Munroe, Paul S De Vries, W James Gauderman, Yan V Sun, Han Chen, Clint L Miller, Thomas W Winkler, Dabeeru C Rao, Susan Redline, Diana Van Heemst

Faculty, Staff and Student Publications

Background and aims: Deviations from the population mean in sleep duration have been associated with increased risk for developing dyslipidemia and atherosclerotic cardiovascular disease, but the mechanism of effect is poorly characterized. We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets.

Methods: We collected data from 55 cohorts with a combined sample size of 732,564 participants (87 % European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) …

Clinical Informatics Education To Advance Learning Health Systems: A Scoping Review, Alexandra Zingg, L Ida Tovar, Laura Witte, Kelsey L Koym, Kyler Godwin

Library Staff Publications

Introduction: Learning health systems leverage clinical data and knowledge to advance healthcare quality. Effective training in informatics concepts and tools is essential for medical trainees to become health system experts and contributors to positive organizational change. The objective of this study is to summarize characteristics of existing clinical informatics training programs and map these to recommended Learning Health System informatics competencies. We aim to answer the following research questions: (1) How are academic medical institutions implementing informatics education initiatives for medical trainees? (2) Are these initiatives implementing recommended informatics competencies? and (3) How effective are these initiatives according to established …

Limosilactobacillus Reuteri Alleviates Proinflammatory T-Cell-Mediated Liver Injury And Transcriptomic Changes In Immunocompromised Mice, Ana Fadhel Alvarez, Zheng Yin, Beanna Okeugo, Alexander Banerjee, Meng Luo, Christopher M Taylor, Salomea Giorgberidze, Vaishali Harne, Rambabu Majji, Melissa N Munroe, Ji Ho Suh, Stephen T C Wong, Kang Ho Kim, Hari Krishna Yalamanchili, Suhair Al Salihi, Jon Marc Rhoads, Yuying Liu

Children’s Nutrition Research Center Staff Publications

Background: A deficiency of immunosuppressive regulatory T cells, as seen in scurfy (SF) mice or in IPEX syndrome in humans, can lead to multiorgan inflammation. Oral administration of the probiotic Limosilactobacillus reuteri Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM) 17938 prolongs survival and reduces Th1- and Th2-associated inflammation in SF mice. It remains unclear how DSM 17938-educated SF-CD4+ T cells modulate T-cell-liver communication.

Methods: To characterize CD4+ T cells from SF mice orally administered DSM 17938 (Prob-SF-CD4+ T cells) and to compare them with CD4+ T cells from SF mice (SF-CD4+ T cells), cells isolated from SF spleens were …

Alternative Polyadenylation Signatures Distinguish Maladaptive Right Ventricular Remodeling In Pulmonary Hypertension: Implications For Rna-Based Diagnostics And Therapeutics, Janani Subramaniam, Venkata Jonnakuti, Scott D Collum, Sandra Martineau, Kai-Lieh Huang, Sandra Breuils-Bonnet, Andrea L Frump, Bindu H Akkanti, Jayeshkumar A Patel, Manish K Patel, Ismael Salas De Armas, Isabella N Lefebvre, Rajko Radovancevic, Elvin Blanco, Eric J Wagner, Igor Gregoric, Sriram Nathan, Biswajit Kar, Steeve Provencher, Sebastien Bonnet, François Potus, Hari Krishna Yalamanchili, Harry Karmouty-Quintana

Faculty, Staff and Student Publications

Increased pulmonary vascular pressures due to vascular remodeling, elevated vascular resistance, and vasoconstriction characterize Pulmonary Arterial Hypertension (PAH). The narrowing of the pulmonary arteries and obstruction of blood flow increase the Right Ventricular (RV) afterload, forcing the RV to undergo structural and functional changes. While adaptive remodeling leads to RV compensation by maintaining function, maladaptive remodeling leads to RV decompensation, characterized by worsening function and eventual failure. At present, there is no effective treatment for these patients as therapies for left ventricular failure are ineffectual, and there are no therapies specifically targeting the RV. Therefore, there is a clear need …

Polyfluoroalkyl Substances And Altered Glucose Homeostasis In Adolescents Following Bariatric Surgery, Elizabeth Costello, Brittney O Baumert, Zhenjiang Li, Vishal Midya, Shudi Pan, Justin R Ryder, Thomas H Inge, Todd M Jenkins, Stephanie Sisley, Stavra A Xanthakos, Anita Courcoulas, Douglas I Walker, Nikos Stratakis, Damaskini Valvi, Scott M Bartell, Angela L Slitt, Rohit Kohli, Sarah Rock, Michele A La Merrill, Sandrah P Eckel, Max T Aung, Rob Mcconnell, David V Conti, Lida Chatzi

Children’s Nutrition Research Center Staff Publications

Objectives: Bariatric surgery is an effective treatment for severe obesity and associated metabolic comorbidities. Exposure to polyfluoroalkyl substance (PFAS) before bariatric surgery may attenuate improvements in glucose metabolism and explain some of the heterogeneity in post-surgery outcomes.

Design: This is an observational cohort study.

Methods: Adolescents (n = 186) enrolled in the Teen-Longitudinal Assessment of Bariatric Surgery study were included. Eight-PFAS congeners were measured in plasma before surgery. Linear and logistic regressions were used to examine cross-sectional associations between log2-transformed PFAS (ng/mL) and fasting glucose, insulin, hemoglobin A1c (HbA1c), and homeostatic model assessment for insulin resistance (HOMA-IR). Linear mixed …

Access To Digital Health Technologies: Personalized Framework And Global Perspectives, Sanjiv M Narayan, Mina K Chung, Demilade Adedinsewo, Luisa C C Brant, Leslie L Davis, David Duncker, Jennifer L Hall, Janet K Han, Carolyn S P Lam, Eldrin Lewis, Joseph Loscalzo, Manlio F Márquez, Vasiliki Rahimzadeh, Fatima Rodriguez, Prashanthan Sanders, Emma Svennberg, Kenneth Stein, Mintu Turakhia, Clyde Yancy, Antonis A Armoundas

Center for Medical Ethics and Health Policy Staff Publications

The emergence and rapid adoption of digital health technologies (DHT) present unprecedented opportunities to democratize and reduce disparities in health care by monitoring health and disease at the point of care in all patients. However, limited access to DHT is becoming a major obstacle to realizing these goals. Access to DHT is influenced not only by well-recognized social determinants of health, but also by digital determinants of health, such as digital literacy and the need for broad access to digital infrastructure, as well as commercial and economic factors. Addressing these challenges and designing unbiased systems of care are essential to …

A Quantum Walk Through Sustainability: Nonlinear Thinking For A Nonlinear World, Sanjay Wahal

Trade & Scholarly Monographs

We are living through a planetary inflection point. Conventional sustainability thinking-rooted in linear logic, siloed disciplines, and incremental fixes-no longer suffices. The climate crisis is nonlinear. Our response must be as well.

In this book, Dr. Sanjay Wahal, global systems strategist and founder of Decarbonization, LLC, delivers a visionary, paradigm-shifting framework that draws inspiration from quantum theory to reimagine how we think, act, and lead for climate action.

This is not a book about quick fixes or silver bullets. It is a meditation on coherence, emergence, and transformation. It is for those who believe sustainability is not just a policy …