Digital Commons Network^™

Patient Consent And The Right To Notice And Explanation Of Ai Systems Used In Health Care, Meghan E Hurley, Benjamin H Lang, Kristin Marie Kostick-Quenet, Jared N Smith, Jennifer Blumenthal-Barby

Center for Medical Ethics and Health Policy Staff Publications

Given the need for enforceable guardrails for artificial intelligence (AI) that protect the public and allow for innovation, the U.S. Government recently issued a Blueprint for an AI Bill of Rights which outlines five principles of safe AI design, use, and implementation. One in particular, the right to notice and explanation, requires accurately informing the public about the use of AI that impacts them in ways that are easy to understand. Yet, in the healthcare setting, it is unclear what goal the right to notice and explanation serves, and the moral importance of patient-level disclosure. We propose three normative functions …

Evaluation Of Enzyme Activity Predictions For Variants Of Unknown Significance In Arylsulfatase A, Shantanu Jain, Marena Trinidad, Thanh Binh Nguyen, Kaiya Jones, Santiago Diaz Neto, Fang Ge, Ailin Glagovsky, Cameron Jones, Giankaleb Moran, Boqi Wang, Kobra Rahimi, Sümeyra Zeynep Çalıcı, Luis R Cedillo, Silvia Berardelli, Buse Özden, Ken Chen, Panagiotis Katsonis, Amanda Williams, Olivier Lichtarge, Sadhna Rana, Swatantra Pradhan, Rajgopal Srinivasan, Rakshanda Sajeed, Dinesh Joshi, Eshel Faraggi, Robert Jernigan, Andrzej Kloczkowski, Jierui Xu, Zigang Song, Selen Özkan, Natàlia Padilla, Xavier De La Cruz, Rocio Acuna-Hidalgo, Andrea Grafmüller, Laura T Jiménez Barrón, Matteo Manfredi, Castrense Savojardo, Giulia Babbi, Pier Luigi Martelli, Rita Casadio, Yuanfei Sun, Shaowen Zhu, Yang Shen, Fabrizio Pucci, Marianne Rooman, Gabriel Cia, Daniele Raimondi, Pauline Hermans, Sofia Kwee, Ella Chen, Courtney Astore, Akash Kamandula, Vikas Pejaver, Rashika Ramola, Michelle Velyunskiy, Daniel Zeiberg, Reet Mishra, Teague Sterling, Jennifer L Goldstein, Jose Lugo-Martinez, Sufyan Kazi, Sindy Li, Kinsey Long, Steven E Brenner, Constantina Bakolitsa, Predrag Radivojac, Dean Suhr, Teryn Suhr, Wyatt T Clark

Faculty, Staff and Students Publications

Continued advances in variant effect prediction are necessary to demonstrate the ability of machine learning methods to accurately determine the clinical impact of variants of unknown significance (VUS). Towards this goal, the ARSA Critical Assessment of Genome Interpretation (CAGI) challenge was designed to characterize progress by utilizing 219 experimentally assayed missense VUS in the Arylsulfatase A (ARSA) gene to assess the performance of community-submitted predictions of variant functional effects. The challenge involved 15 teams, and evaluated additional predictions from established and recently released models. Notably, a model developed by participants of a genetics and coding bootcamp, trained with standard machine-learning …

Multiethnic Growth Standards For Fetal Body Composition And Organ Volumes Derived From 3d Ultrasonography, Katherine L Grantz, Wesley Lee, Lauren M Mack, Magdalena Sanz Cortes, Luis F Goncalves, Jimmy Espinoza, Roger B Newman, William A Grobman, Ronald J Wapner, Karin Fuchs, Mary E D'Alton, Daniel W Skupski, John Owen, Anthony Sciscione, Deborah A Wing, Michael P Nageotte, Angela C Ranzini, Edward K Chien, Sabrina Craigo, Seth Sherman, Robert E Gore-Langton, Dian He, Fasil Tekola-Ayele, Cuilin Zhang, Jagteshwar Grewal, Zhen Chen

Faculty, Staff and Student Publications

Background: A major goal of contemporary obstetrical practice is to optimize fetal growth and development throughout pregnancy. To date, fetal growth during prenatal care is assessed by performing ultrasonographic measurement of 2-dimensional fetal biometry to calculate an estimated fetal weight. Our group previously established 2-dimensional fetal growth standards using sonographic data from a large cohort with multiple sonograms. A separate objective of that investigation involved the collection of fetal volumes from the same cohort.

Objective: The Fetal 3D Study was designed to establish standards for fetal soft tissue and organ volume measurements by 3-dimensional ultrasonography and compare growth trajectories with …

Ultra-Low Extracorporeal Volume Microfluidic Leukapheresis Is Safe And Effective In A Rat Model, Mubasher Iqbal, Alexandra L Mclennan, Anton Mukhamedshin, Mai T P Dinh, Qisheng Liu, Jacob J Junco, Arvind Mohan, Poyyapakkam R Srivaths, Karen R Rabin, Thomas P Fogarty, Sean C Gifford, Sergey S Shevkoplyas, Fong W Lam

Faculty, Staff and Students Publications

Leukapheresis is a potentially life-saving therapy for children with symptomatic hyperleukocytosis. However, the standard centrifugation-based approach exposes pediatric patients to significant complications due to its large extracorporeal volume, high flow rates, and considerable platelet loss. Here, we tested whether performing cell separation with a high-throughput microfluidic technology could alleviate these limitations. In vitro, our microfluidic devices removed ~85% of large leukocytes and ~90% of spiked leukemic blasts from undiluted human whole blood, while minimizing platelet losses. Multiplexed devices connected in parallel allowed for faster, clinically relevant flow rates in vitro with no difference in leukocyte collection efficiency. When connected to …

Clinician Experiences With Ambient Scribe Technology To Assist With Documentation Burden And Efficiency, Matthew J. Duggan, Julietta Gervase, Anna Schoenbaum, William Hanson, John T. Howell, Michael Sheinberg, Kevin B. Johnson

SKMC Student Presentations and Publications

IMPORTANCE: Timely evaluation of ambient scribing technology is warranted to assess whether this technology can lessen the burden of clinical documentation on clinicians.

OBJECTIVE: To investigate the association of ambient scribing technology with efficiency, quality, and perceived burden of clinical documentation in the outpatient setting.

DESIGN, SETTING, AND PARTICIPANTS: This prospective, single-group pre-post quality improvement study was conducted between April and June 2024 in the outpatient setting of an academic health system in Philadelphia, Pennsylvania. Participants included physicians, nurse practitioners, and physician assistants. Data were analyzed from July to August 2024.

EXPOSURE: Access to an artificial intelligence-driven ambient scribing tool …

Metabolic Effects Of Testosterone Added To Intensive Lifestyle Intervention In Older Men With Obesity And Hypogonadism, Adrian M Gonzalez-Gil, Yoann Barnouin, Alessandra Celli, Viola Viola, Marcos D Villarreal, Maria Liza Duremdes Nava, Adam Sciuk, Clifford Qualls, Reina Armamento-Villareal, Dennis T Villareal

Faculty, Staff and Students Publications

Background: Whether testosterone replacement therapy (TRT) conveys additional cardiometabolic benefit to an intensive lifestyle therapy (LT) in older men with obesity and hypogonadism remains unclear.

Objective: To determine whether TRT augments the effect of LT on metabolic outcomes in older men with obesity and hypogonadism.

Design: Secondary analysis of a randomized, double-blind, placebo-controlled trial.

Setting: Veterans Affairs Medical Center.

Participants: Eighty-three older (age ≥ 65 years) men with obesity (body mass index ≥ 30 kg/m2) and persistently low Am testosterone (< 10.4 nmol/L) associated with frailty.

Interventions: LT (weight management and exercise training) plus either testosterone (LT + TRT) or placebo (LT + Pbo) for …

Proxy Panels Enable Privacy-Aware Outsourcing Of Genotype Imputation, Degui Zhi, Xiaoqian Jiang, Arif Harmanci

Faculty, Staff and Student Publications

One of the major challenges in genomic data sharing is protecting participants' privacy in collaborative studies and in cases when genomic data are outsourced to perform analysis tasks, for example, genotype imputation services and federated collaborations genomic analysis. Although numerous cryptographic methods have been developed, these methods may not yet be practical for population-scale tasks in terms of computational requirements, rely on high-level expertise in security, and require each algorithm to be implemented from scratch. In this study, we focus on outsourcing of genotype imputation, a fundamental task that utilizes population-level reference panels, and develop protocols that rely on using …

Mhealth App To Promote Healthy Lifestyles For Diverse Families Living In Rural Areas: Usability Study, Alejandra Perez Ramirez, Adrian Ortega, Natalie Stephenson, Angel Muñoz Osorio, Anne E Kazak, Thao-Ly Phan

Department of Pediatrics Faculty Papers

BACKGROUND: Mobile Integrated Care for Childhood Obesity is a multicomponent intervention for caregivers of young children with obesity from rural communities that was developed in collaboration with community, parent, and health care partners. It includes community programming to promote healthy lifestyles and address social needs and health care visits with an interdisciplinary team. A digital mobile health platform-the Healthy Lifestyle (Nemours Children's Health) dashboard-was designed as a self-management tool for caregivers to use as part of Mobile Integrated Care for Childhood Obesity.

OBJECTIVE: This study aimed to improve the usability of the English and Spanish language versions of the Healthy …

Increasing Covid-19 Testing And Vaccination Uptake In The Take Care Texas Community-Based Randomized Trial: Adaptive Geospatial Analysis, Kehe Zhang, Jocelyn V Hunyadi, Marcia C De Oliveira Otto, Miryoung Lee, Zitong Zhang, Ryan Ramphul, Jose-Miguel Yamal, Ashraf Yaseen, Alanna C Morrison, Shreela Sharma, Mohammad Hossein Rahbar, Xu Zhang, Stephen Linder, Dritana Marko, Rachel White Roy, Deborah Banerjee, Esmeralda Guajardo, Michelle Crum, Belinda Reininger, Maria E Fernandez, Cici Bauer

Faculty, Staff and Student Publications

BACKGROUND: Geospatial data science can be a powerful tool to aid the design, reach, efficiency, and impact of community-based intervention trials. The project titled Take Care Texas aims to develop and test an adaptive, multilevel, community-based intervention to increase COVID-19 testing and vaccination uptake among vulnerable populations in 3 Texas regions: Harris County, Cameron County, and Northeast Texas.

OBJECTIVE: We aimed to develop a novel procedure for adaptive selections of census block groups (CBGs) to include in the community-based randomized trial for the Take Care Texas project.

METHODS: CBG selection was conducted across 3 Texas regions over a 17-month period …

Classification Of Non-Tcga Cancer Samples To Tcga Molecular Subtypes Using Compact Feature Sets, Kyle Ellrott, Christopher K Wong, Christina Yau, Mauro A A Castro, Jordan A Lee, Brian J Karlberg, Jasleen K Grewal, Vincenzo Lagani, Bahar Tercan, Verena Friedl, Toshinori Hinoue, Vladislav Uzunangelov, Lindsay Westlake, Xavier Loinaz, Ina Felau, Peggy I Wang, Anab Kemal, Samantha J Caesar-Johnson, Ilya Shmulevich, Alexander J Lazar, Ioannis Tsamardinos, Katherine A Hoadley, Cancer Genome Atlas Analysis Network, A Gordon Robertson, Theo A Knijnenburg, Christopher C Benz, Joshua M Stuart, Jean C Zenklusen, Andrew D Cherniack, Peter W Laird

Faculty, Staff and Student Publications

Molecular subtypes, such as defined by The Cancer Genome Atlas (TCGA), delineate a cancer's underlying biology, bringing hope to inform a patient's prognosis and treatment plan. However, most approaches used in the discovery of subtypes are not suitable for assigning subtype labels to new cancer specimens from other studies or clinical trials. Here, we address this barrier by applying five different machine learning approaches to multi-omic data from 8,791 TCGA tumor samples comprising 106 subtypes from 26 different cancer cohorts to build models based upon small numbers of features that can classify new samples into previously defined TCGA molecular subtypes-a …

Evaluating Maternal Drug Use Disparities, Risk Factors And Outcomes In Northeast Arkansas: A Pre, During, And Post-Covid-19 Pandemic Analysis., Enrique Gomez Pomar, Johnna Berryhill, Sudeepa Bhattacharyya

Pediatrics Faculty Publications

INTRODUCTION: The use of addictive substances remains a major health problem in the U.S. An increase in drug overdose and mortality was observed during the COVID-19 pandemic, especially in underserved populations. This surge also impacted pregnant women especially with the use of marijuana (THC) and opioids.

METHODS: Retrospective study analyzing mother-infant dyads with reported Meconium Drug Screen (MDS) results, from January 2018 through April 2023 at a reference hospital serving an urban and rural area of Arkansas. Due to the absence of universal screening, the prevalence of drug use was variable during the study period. An adjusted monthly positive rate …

Differentiating Between Renal Medullary And Clear Cell Renal Carcinoma With A Machine Learning Radiomics Approach, Rahim Jiwani, Koustav Pal, Iwan Paolucci, Bruno Odisio, Kristy Brock, Nizar M Tannir, Daniel D Shapiro, Pavlos Msaouel, Rahul A Sheth

Faculty, Staff and Student Publications

Background: The objective of this study was to develop and validate a radiomics-based machine learning (ML) model to differentiate between renal medullary carcinoma (RMC) and clear cell renal carcinoma (ccRCC).

Methods: This retrospective Institutional Review Board -approved study analyzed CT images and clinical data from patients with RMC (n = 87) and ccRCC (n = 93). Patients without contrast-enhanced CT scans obtained before nephrectomy were excluded. A standard volumetric software package (MIM 7.1.4, MIM Software Inc.) was used for contouring, after which 949 radiomics features were extracted with PyRadiomics 3.1.0. Radiomics analysis was then performed with RadAR for differential radiomics …

The Misalignment Of Incentives In Academic Publishing And Implications For Journal Reform, Jennifer S Trueblood, David B Allison, Sarahanne M Field, Ayelet Fishbach, Stefan D M Gaillard, Gerd Gigerenzer, William R Holmes, Stephan Lewandowsky, Dora Matzke, Mary C Murphy, Sebastian Musslick, Vencislav Popov, Adina L Roskies, Judith Ter Schure, Andrei R Teodorescu

Children’s Nutrition Research Center Staff Publications

For most researchers, academic publishing serves two goals that are often misaligned-knowledge dissemination and establishing scientific credentials. While both goals can encourage research with significant depth and scope, the latter can also pressure scholars to maximize publication metrics. Commercial publishing companies have capitalized on the centrality of publishing to the scientific enterprises of knowledge dissemination and academic recognition to extract large profits from academia by leveraging unpaid services from reviewers, creating financial barriers to research dissemination, and imposing substantial fees for open access. We present a set of perspectives exploring alternative models for communicating and disseminating scientific research. Acknowledging that …

What We Mean When We Say Semantic: Toward A Multidisciplinary Semantic Glossary, Jamie Reilly, Cory Shain, Valentina Borghesani, Philipp Kuhnke, Gabriella Vigliocco, Jonathan E. Peelle, Bradford Z. Mahon, Laurel J. Buxbaum, Asifa Majid, Marc Brysbaert, Anna M. Borghi, Simon De Deyne, Guy Dove, Liuba Papeo, Penny M. Pexman, David Poeppel, Gary Lupyan, Paulo Boggio, Gregory Hickok, Laura Gwilliams, Leonardo Fernandino, Daniel Mirman, Evangelia G. Chrysikou, Chaleece W. Sandberg, Sebastian J. Crutch, Liina Pylkkänen, Eiling Yee, Rebecca L. Jackson, Jennifer M. Rodd, Marina Bedny, Louise Connell, Markus Kiefer, David Kemmerer, Greig De Zubicaray, Elizabeth Jefferies, Dermot Lynott, Cynthia S. Q. Siew, Rutvik H. Desai, Ken Mcrae, Michele T. Diaz, Marianna Bolognesi, Evelina Fedorenko, Swathi Kiran, Maria Montefinese, Jeffrey R. Binder, Melvin J. Yap, Gesa Hartwigsen, Jessica Cantlon, Yanchao Bi, Paul Hoffman, Frank E. Garcea, David Vinson

Moss-Magee Rehabilitation Papers

Tulving characterized semantic memory as a vast repository of meaning that underlies language and many other cognitive processes. This perspective on lexical and conceptual knowledge galvanized a new era of research undertaken by numerous fields, each with their own idiosyncratic methods and terminology. For example, "concept" has different meanings in philosophy, linguistics, and psychology. As such, many fundamental constructs used to delineate semantic theories remain underspecified and/or opaque. Weak construct specificity is among the leading causes of the replication crisis now facing psychology and related fields. Term ambiguity hinders cross-disciplinary communication, falsifiability, and incremental theory-building. Numerous cognitive subdisciplines (e.g., vision, …

Wf-Ppg: A Wrist-Finger Dual-Channel Dataset For Studying The Impact Of Contact Pressure On Ppg Morphology, Matthew Yiwen Ho, Hung Manh Pham, Aaqib Saeed, Dong Ma

Research Collection School Of Computing and Information Systems

Photoplethysmography (PPG) is a simple optical technique widely used in wearable devices for continuous cardiac health monitoring. However, the quality of PPG signals, particularly their morphology, is influenced by the contact pressure between the skin and the sensor. This variability in signal quality complicates complex tasks that rely on high-quality signals, such as blood pressure and heart rate variability estimation, making them less reliable or even impossible. To address this issue, we present a novel dataset (termed WF-PPG) comprising PPG signals from the wrist measured under varying contact pressures, along with high-quality PPG signals from the fingertip captured simultaneously. Data …

Immunogenomic Determinants Of Exceptional Response To Immune Checkpoint Inhibition In Renal Cell Carcinoma, Tejas Jammihal, Renee Maria Saliby, Chris Labaki, Hanna Soulati, Juan Gallegos, Arnau Peris, Dustin Mccurry, Chunlei Yu, Valisha Shah, Deepak Poduval, Talal El Zarif, Nourhan El Ahmar, Yasmin Nabil Laimon, Marc Eid, Aseman Bagheri Sheshdeh, Katherine M Krajewski, Florian A Büttner, Matthias Schwab, Daniel Heng, Rafael C Casellas, Kunal Rai, Niki M Zacharias Millward, Pavlos Msaouel, Jose Karam, Sabina Signoretti, Eliezer Van Allen, Toni K Choueiri, David A Braun, Sachet A Shukla

Faculty, Staff and Student Publications

Immune checkpoint inhibitors can lead to 'exceptional', durable responses in a subset of persons. However, the molecular basis of exceptional response (ER) to immunotherapy in metastatic clear cell renal cell carcinoma (mccRCC) has not been well characterized. Here we analyzed pretherapy genomic and transcriptomic data in treatment-naive persons with mccRCC treated with standard-of-care immunotherapies: (1) combination of programmed cell death protein and ligand 1 (PD1/PDL1) and cytotoxic T lymphocyte-associated protein 4 inhibitors (IO/IO) or (2) combination of PD1/PDL1 and vascular endothelial growth factor (VEGF) receptor inhibitors (IO/VEGF). In the IO/IO cohort, clonal neoantigen load was significantly higher in persons with …

The Dynamics Of Tubulogenesis In Development And Disease, Adrian Romero, Brandy L Walker, Vanja Krneta-Stankic, Kamryn Gerner-Mauro, Lydia Youmans, Rachel K Miller

Faculty, Staff and Student Publications

Tubes are crucial for the function of many organs in animals given their fundamental roles in transporting and exchanging substances to maintain homeostasis within an organism. Therefore, the development and maintenance of these tube-like structures within organs is a vital process. Tubes can form in diverse ways, and advances in our understanding of the molecular and cellular mechanisms underpinning these different modes of tubulogenesis have significant impacts in many biological contexts, including development and disease. This Review discusses recent progress in understanding developmental mechanisms underlying tube formation.

Prospective Observational Study Of Fkrp-Related Limb-Girdle Muscular Dystrophy R9: A Grasp Consortium Study, Lindsay N Alfano, Stephanie Hunn, Conrad C Weihl, Et Al.

2020-Current year OA Pubs

OBJECTIVE: Limb-girdle muscular dystrophy R9 (LGMDR9, formerly known as LGMD2I), caused by variants in the fukutin-related protein (FKRP) gene leads to progressive muscle weakness of the shoulder and pelvic limb-girdles and loss of motor function over time. Clinical management and future trial design are improved by determining which standardized clinical outcome assessments (COA) of function are most appropriate to capture disease presentation and progression, informing endpoint selection and enrollment criteria. The purpose of our study was to evaluate the cross-sectional validity and reliability of clinical outcome assessments in patients with FKRP-related LGMDR9 participating in the Genetic Resolution and Assessments Solving …

Testosterone Modulation Of Muscle Transcriptomic Profile During Lifestyle Therapy In Older Men With Obesity And Hypogonadism, Viola Viola, Tagari Samanta, Maria Liza Duremdes Nava, Alessandra Celli, Reina Armamento-Villareal, Ngoc Ho Lam Nguyen, Georgia Colleluori, Yoann Barnouin, Nicola Napoli, Clifford Qualls, Benny Abraham Kaipparettu, Dennis T Villareal

Faculty, Staff and Students Publications

Background: Testosterone replacement therapy (TRT) added to lifestyle therapy can mitigate weight-loss-induced reduction of muscle mass and bone mineral density (BMD) in older men with obesity and hypogonadism.

Objective: To investigate the molecular mechanisms underlying the attenuation of muscle and BMD loss in response to TRT during intensive lifestyle intervention in this high-risk older population.

Methods: Among 83 older (≥ 65 years) men with obesity (BMI ≥ 30 kg/m2) and hypogonadism (early AM testosterone persistently < 300 ng/dL) associated with frailty (Modified Physical Performance Test score ≤ 31) randomized into 26-week lifestyle therapy plus testosterone (LT+TRT) or placebo (LT+Pbo) in the LITROS trial, 38 underwent serial muscle biopsies for the muscle transcriptomics substudy.

Results: Despite similar ~10% weight loss, lean body mass and thigh muscle volume decreased less in LT+TRT than LT+Pbo (-2% vs. -4%, respectively; p = …

Forearm Versus Upper Arm Location Of Arteriovenous Access Used At Hemodialysis Initiation: Temporal Trends And Racial Disparities, Melandrea L Worsley, Jingbo Niu, Kevin F Erickson, Neal R Barshes, Wolfgang C Winkelmayer, L Parker Gregg

Faculty, Staff and Students Publications

Rationale & objective: Race and ethnicity differences exist in the type of arteriovenous access (AVA, including fistulas and grafts) used at hemodialysis (HD) initiation. The preferred anatomic location for the creation of an initial HD AVA is typically in the forearm We evaluated race and ethnicity differences in the use of an AVA in the forearm location at HD initiation.

Study design: Retrospective cohort study.

Setting & participants: Using records from DaVita Kidney Care linked to the US Renal Data System (USRDS), we evaluated patients aged≥16 years who initiated in-center HD with an AVA between 2006 and 2019.

Predictor: Race …

A Statistical Framework For Multi-Trait Rare Variant Analysis In Large-Scale Whole-Genome Sequencing Studies, Xihao Li, Han Chen, Margaret Sunitha Selvaraj, Eric Van Buren, Hufeng Zhou, Yuxuan Wang, Ryan Sun, Zachary R Mccaw, Zhi Yu, Min-Zhi Jiang, Daniel Dicorpo, Sheila M Gaynor, Rounak Dey, Donna K Arnett, Emelia J Benjamin, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, April P Carson, Jenna C Carlson, Nathalie Chami, Yii-Der Ida Chen, Joanne E Curran, Paul S De Vries, Myriam Fornage, Nora Franceschini, Barry I Freedman, Charles Gu, Nancy L Heard-Costa, Jiang He, Lifang Hou, Yi-Jen Hung, Marguerite R Irvin, Robert C Kaplan, Sharon L R Kardia, Tanika N Kelly, Iain Konigsberg, Charles Kooperberg, Brian G Kral, Changwei Li, Yun Li, Honghuang Lin, Ching-Ti Liu, Ruth J F Loos, Michael C Mahaney, Lisa W Martin, Rasika A Mathias, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Kari E North, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Susan Redline, Alexander P Reiner, Stephen S Rich, Colleen M Sitlani, Jennifer A Smith, Kent D Taylor, Hemant K Tiwari, Ramachandran S Vasan, Satupa'itea Viali, Zhe Wang, Jennifer Wessel, Lisa R Yanek, Bing Yu, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Josée Dupuis, James B Meigs, Paul L Auer, Laura M Raffield, Alisa K Manning, Kenneth M Rice, Jerome I Rotter, Gina M Peloso, Pradeep Natarajan, Zilin Li, Zhonghua Liu, Xihong Lin

Faculty, Staff and Student Publications

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally scalable analytical pipeline for functionally informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple …

Comparison Of Lysis And Amplification Methodologies For Optimal 16s Rrna Gene Profiling For Human And Mouse Microbiome Studies., Farzaneh Rastegari, Mark Driscoll, Jesse D Riordan, Joseph H Nadeau, Jethro Johnson, George M. Weinstock

Faculty Research 2025

When conducting sequence-based analysis of microbiome samples, it is important to accurately represent the bacterial communities present. The aim of this study was to compare two commercially available DNA isolation and PCR amplification approaches to determine their impact on the taxonomic composition of microbiome samples following 16S rRNA gene sequencing. A well-established 16S rRNA gene profiling approach, which was widely used in the Human Microbiome Project (HMP), was compared with a novel alkaline degenerative technique that utilizes alkaline cell lysis in combination with a degenerate pool of primers for nucleic acid extraction and PCR amplification. When comparing these different approaches …

Deep Learning-Based Auto-Segmentation For Liver Yttrium-90 Selective Internal Radiation Therapy, Jun Li, Wookjin Choi, Rani Anne

Department of Radiation Oncology Faculty Papers

The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90 selective internal radiation therapy (SIRT). A deep learning (DL)-based liver segmentation model using the U-Net3D architecture was built. Auto-segmentation of the liver was tested in CT images of SIRT patients. DL auto-segmented liver contours were evaluated against physician manually-delineated contours. Dice similarity coefficient (DSC) and mean distance to agreement (MDA) were calculated. The DL-model-generated contours were compared with the contours generated using an Atlas-based method. Ratio of volume (RV, the ratio of DL-model auto-segmented liver volume to manually-delineated liver volume), and ratio of activity (RA, …

A Deconvolution Framework That Uses Single-Cell Sequencing Plus A Small Benchmark Data Set For Accurate Analysis Of Cell Type Ratios In Complex Tissue Samples, Shuai Guo, Xiaoqian Liu, Xuesen Cheng, Yujie Jiang, Shuangxi Ji, Qingnan Liang, Andrew Koval, Yumei Li, Leah A Owen, Ivana K Kim, Ana Aparicio, Sanghoon Lee, Anil K Sood, Scott Kopetz, John Paul Shen, John N Weinstein, Margaret M Deangelis, Rui Chen, Wenyi Wang

Faculty, Staff and Student Publications

Bulk deconvolution with single-cell/nucleus RNA-seq data is critical for understanding heterogeneity in complex biological samples, yet the technological discrepancy across sequencing platforms limits deconvolution accuracy. To address this, we utilize an experimental design to match inter-platform biological signals, hence revealing the technological discrepancy, and then develop a deconvolution framework called DeMixSC using this well-matched, that is, benchmark, data. Built upon a novel weighted nonnegative least-squares framework, DeMixSC identifies and adjusts genes with high technological discrepancy and aligns the benchmark data with large patient cohorts of matched-tissue-type for large-scale deconvolution. Our results using two benchmark data sets of healthy retinas and …

Precision Data-Driven Modeling Of Cortical Dynamics Reveals Person-Specific Mechanisms Underpinning Brain Electrophysiology, Matthew F Singh, Todd S Braver, Michael Cole, Shinung Ching

2020-Current year OA Pubs

Task-free brain activity affords unique insight into the functional structure of brain network dynamics and has been used to identify neural markers of individual differences. In this work, we present an algorithmic optimization framework that directly inverts and parameterizes brain-wide dynamical-systems models involving hundreds of interacting neural populations, from single-subject M/EEG time-series recordings. This technique provides a powerful neurocomputational tool for interrogating mechanisms underlying individual brain dynamics ("precision brain models") and making quantitative predictions. We extensively validate the models' performance in forecasting future brain activity and predicting individual variability in key M/EEG metrics. Last, we demonstrate the power of our …

Introducing "Identification Probability" For Automated And Transferable Assessment Of Metabolite Identification Confidence In Metabolomics And Related Studies., Thomas O Metz, Christine H Chang, Vasuk Gautam, Afia Anjum, Siyang Tian, Fei Wang, Sean M Colby, Jamie R Nunez, Madison R Blumer, Arthur S Edison, Oliver Fiehn, Dean P Jones, Shuzhao Li, Edward T Morgan, Gary J Patti, Dylan H Ross, Madelyn R Shapiro, Antony J Williams, David S Wishart

Faculty Research 2025

Methods for assessing compound identification confidence in metabolomics and related studies have been debated and actively researched for the past two decades. The earliest effort in 2007 focused primarily on mass spectrometry and nuclear magnetic resonance spectroscopy and resulted in four recommended levels of metabolite identification confidence─the Metabolite Standards Initiative (MSI) Levels. In 2014, the original MSI Levels were expanded to five levels (including two sublevels) to facilitate communication of compound identification confidence in high resolution mass spectrometry studies. Further refinement in identification levels have occurred, for example to accommodate use of ion mobility spectrometry in metabolomics workflows, and alternate …

Superstable Lipid Vacuoles Endow Cartilage With Its Shape And Biomechanics, Raul Ramos, Kim T Pham, Richard C Prince, Leith B Leiser-Miller, Maneeshi S Prasad, Xiaojie Wang, Rachel C Nordberg, Benjamin J Bielajew, Jerry C Hu, Kosuke Yamaga, Ji Won Oh, Tao Peng, Rupsa Datta, Aksana Astrowskaja, Axel A Almet, John T Burns, Yuchen Liu, Christian Fernando Guerrero-Juarez, Bryant Q Tran, Yi-Lin Chu, Anh M Nguyen, Tsai-Ching Hsi, Norman T-L Lim, Sandra Schoeniger, Ruiqi Liu, Yun-Ling Pai, Chella K Vadivel, Sandy Ingleby, Andrew E Mckechnie, Frank Van Breukelen, Kyle L Hoehn, John J Rasweiler, Michinori Kohara, William J Loughry, Scott H Weldy, Raymond Cosper, Chao-Chun Yang, Sung-Jan Lin, Kimberly L Cooper, Sharlene E Santana, Jeffrey E Bradley, Michael A Kiebish, Michelle Digman, David E James, Amy E Merrill, Qing Nie, Thomas F Schilling, Aliaksandr A Astrowski, Eric O Potma, Martín I García-Castro, Kyriacos A Athanasiou, Richard R Behringer, Maksim V Plikus

Faculty, Staff and Student Publications

Conventionally, the size, shape, and biomechanics of cartilages are determined by their voluminous extracellular matrix. By contrast, we found that multiple murine cartilages consist of lipid-filled cells called lipochondrocytes. Despite resembling adipocytes, lipochondrocytes were molecularly distinct and produced lipids exclusively through de novo lipogenesis. Consequently, lipochondrocytes grew uniform lipid droplets that resisted systemic lipid surges and did not enlarge upon obesity. Lipochondrocytes also lacked lipid mobilization factors, which enabled exceptional vacuole stability and protected cartilage from shrinking upon starvation. Lipid droplets modulated lipocartilage biomechanics by decreasing the tissue's stiffness, strength, and resilience. Lipochondrocytes were found in multiple mammals, including humans, …

Society For Immunotherapy Of Cancer: Updates And Best Practices For Multiplex Immunohistochemistry (Ihc) And Immunofluorescence (If) Image Analysis And Data Sharing, Janis M Taube, Joel C Sunshine, Michael Angelo, Guray Akturk, Margaret Eminizer, Logan L Engle, Cláudia S Ferreira, Sacha Gnjatic, Benjamin Green, Shirley Greenbaum, Noah F Greenwald, Cyrus V Hedvat, Travis J Hollmann, Daniel Jiménez-Sánchez, Konstanty Korski, Ana Lako, Edwin R Parra, Marlon C Rebelatto, David L Rimm, Scott J Rodig, Jamie Rodriguez-Canales, Jeffrey S Roskes, Kurt A Schalper, Emanuel Schenck, Keith E Steele, Michael J Surace, Alexander S Szalay, Michael T Tetzlaff, Ignacio I Wistuba, Jennifer H Yearley, Carlo B Bifulco

Faculty, Staff and Student Publications

Objectives: Multiplex immunohistochemistry and immunofluorescence (mIHC/IF) are emerging technologies that can be used to help define complex immunophenotypes in tissue, quantify immune cell subsets, and assess the spatial arrangement of marker expression. mIHC/IF assays require concerted efforts to optimize and validate the multiplex staining protocols prior to their application on slides. The best practice guidelines for staining and validation of mIHC/IF assays across platforms were previously published by this task force. The current effort represents a complementary manuscript for mIHC/IF analysis focused on the associated image analysis and data management.

Methods: The Society for Immunotherapy of Cancer convened a task …

Scproatlas: An Atlas Of Multiplexed Single-Cell Spatial Proteomics Imaging In Human Tissues, Tiangang Wang, Xuanmin Chen, Yujuan Han, Jiahao Yi, Xi Liu, Pora Kim, Liyu Huang, Kexin Huang, Xiaobo Zhou

Faculty, Staff and Student Publications

Spatial proteomics can visualize and quantify protein expression profiles within tissues at single-cell resolution. Although spatial proteomics can only detect a limited number of proteins compared to spatial transcriptomics, it provides comprehensive spatial information with single-cell resolution. By studying the spatial distribution of cells, we can clearly obtain the spatial context within tissues at multiple scales. Spatial context includes the spatial composition of cell types, the distribution of functional structures, and the spatial communication between functional regions, all of which are crucial for the patterns of cellular distribution. Here, we constructed a comprehensive spatial proteomics functional annotation knowledgebase, scProAtlas (https://relab.xidian.edu.cn/scProAtlas/#/), …

Aspdb: An Integrative Knowledgebase Of Human Protein Isoforms From Experimental And Ai-Predicted Structures, Yuntao Yang, Himansu Kumar, Yuhan Xie, Zhao Li, Rongbin Li, Wenbo Chen, Chiamaka S Diala, Meer A Ali, Yi Xu, Albon Wu, Sayed-Rzgar Hosseini, Erfei Bi, Hongyu Zhao, Pora Kim, W Jim Zheng

Faculty, Staff and Student Publications

Alternative splicing is a crucial cellular process in eukaryotes, enabling the generation of multiple protein isoforms with diverse functions from a single gene. To better understand the impact of alternative splicing on protein structures, protein-protein interaction and human diseases, we developed ASpdb (https://biodataai.uth.edu/ASpdb/), a comprehensive database integrating experimentally determined structures and AlphaFold 2-predicted models for human protein isoforms. ASpdb includes over 3400 canonical isoforms, each represented by both experimentally resolved and predicted structures, and >7200 alternative isoforms with AlphaFold 2 predictions. In addition to detailed splicing events, 3D structures, sequence variations and functional annotations, ASpdb uniquely offers comparative analyses and …