Digital Commons Network^™

Severe Renal Phenotype Across A Multigenerational Tuberous Sclerosis Complex (Tsc) Family, Elena Tuller, Joshua A Samuels, Hope Northrup, Kate Richardson

Faculty, Staff and Student Publications

Background: Tuberous sclerosis complex (TSC) is an autosomal dominant genetic disorder characterized by the formation of hamartomas in the brain, kidney, and heart, along with other complex clinical manifestations, including TSC-associated neuropsychiatric disorder (TAND). Development of genotype-phenotype correlations within TSC can aid clinicians in providing prognostic data and improve clinical management. We present here a multigenerational family who has a pathogenic variant in TSC2 displaying a severe renal phenotype.

Methods: A 23-year-old Caucasian male (Patient 1) was determined to have a molecularly confirmed diagnosis of TSC at approximately 2 months of age. The nonsense pathogenic variant (c.1372C>T (p.Arg458*)) in …

An Adp Getaway Service, Not An Atp Tank: Insights Into The Phosphagen System In Neurons, Madeline P Marques, Kartik Venkatachalam

Faculty, Staff and Student Publications

No abstract provided.

Segmental Tracheal Resection For Thyroid Cancer: Perioperative Morbidity, Locoregional Control, And Survival, Anastasios Maniakas, David C Wilde, Isabelle Fournier, Emily K Hyde, Li Xu, Jennifer R Wang, Neil D Gross, Erich M Sturgis, Victoria Banuchi, Naifa L Busaidy, Maria E Cabanillas, Priyanka Iyer, Ramona Dadu, Steven G Waguespack, Mimi I Hu, G Brandon Gunn, Michael Kwon, Salmaan Ahmed, Michelle D Williams, Mark E Zafereo

Faculty, Staff and Student Publications

Background: Segmental tracheal resection is rarely needed for advanced thyroid cancer but is among the most complex, high-risk thyroid surgeries.

Methods: Retrospective study of patients undergoing segmental tracheal resection for thyroid cancer at MD Anderson Cancer Center (2005-2024).

Results: We identified 120 patients with a median follow-up of 4.6 years (range 0.02-16.38). Papillary thyroid cancer was most common (68%). The median number of tracheal rings resected was 4 (range 1-9). Seventeen (14%) patients had a new tracheostomy placed at the time of surgery, with 11 (9%) remaining trach-dependent at last follow-up. Twenty-six (22%) patients had a return to the operating …

Terraforming The Kras Lipid Landscape, Yong Zhou, John F Hancock

Faculty, Staff and Student Publications

No abstract provided.

Nasopharyngeal Microbiome-Epigenome-Wide Association Analysis In Infants With Severe Bronchiolitis, Ryohei Shibata, Yijun Li, Anat Yaskolka Meir, Sara Javornik Cregeen, Matthew Clayton Ross, Janice A Espinola, Ashley F Sullivan, Liming Liang, Kohei Hasegawa, Carlos A Camargo, Zhaozhong Zhu

Faculty, Staff and Students Publications

Background: Bronchiolitis exposes infants to both acute burdens (e.g., hospitalization in cases of severe bronchiolitis) and increased risks for chronic respiratory sequelae (e.g., asthma). In severe bronchiolitis, recent evidence suggests distinct pathobiological roles of microbiota (e.g., viruses, bacteria) and host responses influenced by genetic and epigenetic factors. However, the relationship of airway microbiota with host DNA methylation (DNAm) in infants with severe bronchiolitis remains unknown.

Methods: In a multi-center prospective cohort of 504 multi-ethnic infants with severe bronchiolitis (age < 1 year), using nasopharyngeal microbiome (exposure) and blood DNAm (outcome, Infinium MethylationEPIC BeadChip, Illumina) data within 24 h of the hospitalization, we conducted microbiome-epigenome-wide association studies (mbEWAS). We examined microbiota-associated differentially methylated CpGs (mbDMCs, false discovery rate [FDR] < 0.05), regions (mbDMRs, FDR < 0.05), and DNAm age acceleration. We also determined the associations of DNAm age acceleration with asthma development by age 6 years. Furthermore, we focused on asthma-related pathogenic bacteria-Haemophilus influenzae, Moraxella catarrhalis, and Streptococcus pneumoniae-for functional analyses by examining serum mbDMR-related proteins (Proseek Multiplex, Olink) and their enriched pathways (FDR < 0.10).

Results: Across 23 common taxa-observed at least in 25% of the infants, we identified 1 mbDMC (S. pneumoniae, cg16594639, chr20: 39528675) …

Online Tutorial On Survival Analysis For Biomarker Discovery, Jaka Kokošar, Ela Praznik, Martin Špendl, Nancy P Moreno, Alana Newell, Gad Shaulsky, Blaž Zupan

Faculty, Staff and Students Publications

In biomedicine, survival analysis addresses time-to-event data to study outcomes like patient survival and treatment response, and supports biomarker discovery. Yet, teaching this analysis is often hindered by mathematical and programming barriers. We present a structured, hands-on tutorial that goes beyond a typical online guide-offering integrated video lectures, literature, quizzes, and practical exercises. Built around Orange Data Mining, an open and free no-code visual analytics platform, the tutorial covers key concepts such as censoring, Kaplan-Meier curves, group comparisons, and biomarker discovery through real-world datasets. Organized in four pedagogical units, it progresses from basic survival data analysis to gene and gene-set …

Defining The Society Of Pediatric Liver Transplantation (Split) Research Agenda: A Delphi Consensus Project, Sharad I Wadhwani, Pooja Reddy Spector, Amy G Feldman, Katryn N Furuya, Kayla Hartjes, Chaowapong Jarasvaraparn, Beau Kelly, Stacee M Lerret, Krupa Mysore, Arti Pawaria, Philip Rosenthal, Amy Shui, Voytek Slowik, Sarah Taylor, Jennifer Vittorio, Pamela L Valentino

Faculty, Staff and Students Publications

Background: Despite major advances in surgical and medical management, only one-third of pediatric liver transplant (LT) recipients remain morbidity-free at 10 years. The Society of Pediatric Liver Transplantation (SPLIT) published a research agenda over 10 years ago, and much progress has been made since then. An updated consensus-driven SPLIT research agenda could guide future research and funding priorities. We aimed to identify and prioritize key research needs across the continuum of pediatric LT care using a modified Delphi consensus approach.

Methods: We conducted a three-round modified Delphi process among SPLIT members. In round 1, participants submitted open-ended research priorities. In …

Adenovirus Disease Following Pediatric Liver Transplantation: 10-Year Experience From A Large Pediatric Transplant Program, Anna M Banc-Husu, Sara Hassan, N Thao N Galvan, Elizabeth A Moulton, Jeremy M Schraw, Kathleen Hosek, Dana Cerminara, Flor M Munoz, Krupa Mysore

Faculty, Staff and Students Publications

Background: Human adenovirus in immunocompromised patients can be life-threatening. We describe the prevalence, clinical presentation, and treatment of adenovirus after pediatric liver transplantation at a large transplant center.

Methods: We performed a retrospective cohort study of adenovirus infection in children from 2013 to 2022. We compared incidence, clinical characteristics, and outcomes of post-transplant children by adenovirus treatment status.

Results: Adenovirus disease developed in 26% (84/320) children after liver transplant. Median age at liver transplant was 17.5 months, 48% were female; 50% had biliary atresia. Fever (53%), gastrointestinal symptoms (48%), and hepatitis (41%) were the most common clinical presentations at diagnosis. …

Relationship Between Heart Rate Variability And Sleep Among Girls And Boys With Abdominal Pain-Related Disorders Of Gut-Brain Interaction, Kendra J Kamp, Robert L Burr, Camden E Matherne, Emily Simonds, Tasha Murphy, Margaret M Heitkemper, Rona L Levy, Robert J Shulman, Miranda A L Van Tilburg

Faculty, Staff and Students Publications

Background: Children with abdominal pain-related disorders of gut-brain interaction (AP-DGBI) often experience sleep disturbances which may be linked to the autonomic nervous system. Heart rate variability (HRV) is a non-invasive measure of autonomic nervous system activity. Our aim was to examine if HRV was associated with characteristics of disturbed sleep in children with AP-DGBI in order to elucidate the underlying physiological mechanisms of disturbed sleep.

Methods: This analysis used baseline data from a randomized control trial of 156 children ages 7-12 years with AP-DGBI. HRV was measured after dinner using a Polar monitor. Sleep disturbances were evaluated using the Children's …

Interpretable Ensemble Machine Learning Prediction Of Nonadherence And The Risk Of Nonpersistence Of Targeted Disease-Modifying Antirheumatic Agents In Older Adults With Rheumatoid Arthritis, Yinan Huang, Sandeep K Agarwal

Faculty, Staff and Students Publications

Purpose: Ensemble machine learning (ML) demonstrated potential for improving predictions based on big health care data. We developed and validated interpretable ensemble ML models in evaluating the nonadherence and nonpersistence of biological or targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) in rheumatoid arthritis (RA).

Methods: This retrospective study used 5% Medicare claims data including older (aged ≥65 years) patients initiating b/tsDMARDs (the index date) between 2013 and 2019, who were diagnosed with RA (the International Classification of Diseases, Ninth and Tenth revision codes). Nonadherence, defined as medication possession ratio < 80%, was evaluated during the 12-month follow-up. Nonpersistence was defined as duration (in days) from the index date until treatment gap ≥60 days during the follow-up period, with death and insurance disenrollment as censoring criteria. Data were split into 75% for model training and 25% for evaluation, with patients' demographics and clinical characteristics measured in the baseline period. Machine learning ensemble classification models (random forest, eXtreme Gradient Boosting [XGBoost], and prediction rule ensembles [PRE]) evaluated the binary nonadherence outcome and ML ensemble survival models (random survival forest, XGBoost survival, and PRE survival) assessed time until nonpersistence. Using the testing cohort, concordance index (C-index) was reported for the ML survival models and AUC was reported for ML classification models.

Findings: We identified 3927 eligible patients with RA (mean age 73 ± …

Simulation-Free Spine Palliative Radiotherapy Enabled By Ai-Adapted Diagnostic Ct, Yiding Han, Alexander Nicola Hanania, Zaid Ali Siddiqui, Vincent Ugarte, Boran Zhou, Abdallah S R Mohamed, Piyush Pathak, Daniel Allen Hamstra, Baozhou Sun

Faculty, Staff and Students Publications

Background: Radiotherapy planning traditionally requires a dedicated simulation CT (sCT), which can introduce delays in initiating treatment. This is particularly impactful in spinal palliative care, where timely treatment is often important for symptom control and prevention of neurological deterioration. Although diagnostic CT (dCT) is frequently available earlier in the workflow, it can lead to geometric and dosimetric inaccuracies when used directly for treatment planning due to discrepancies in patient positioning, vertebral alignment, and table curvature.

Purpose: To develop and evaluate an AI-based method that transforms dCT into a simulation-equivalent planning CT (AI-pCT), enabling a clinically feasible simulation-free workflow for spinal …

Proteomic Signatures Of Cardiac Dysfunction Among People With Diabetes: The Atherosclerosis Risk In Communities Study, Justin B Echouffo-Tcheugui, Chiadi E Ndumele, Jingsha Chen, Mary R Rooney, Keenan A Walker, Pascal Schlosser, Kuni Matsushita, Morgan E Grams, Christie C Ballantyne, Ron C Hoogeveen, Eric Boerwinkle, Bing Yu, Amil M Shah, Ruth F Dubin, Rajat Deo, Yue Ren, Jerome I Rotter, Kent D Taylor, Wendy S Post, Peter Ganz, Elizabeth Selvin, Josef Coresh

Faculty, Staff and Students Publications

Background: To investigate the proteomic signatures of heart failure (HF) in diabetes. The underlying mechanisms of the elevated risk of HF in diabetes are unknown.

Methods: In 10 189 ARIC study (Atherosclerosis Risk in Communities) participants free of HF (mean age 57±7 years, 56% women, 22% Black adults, 14% with diabetes), we conducted discovery and internal validation for the associations of 4955 plasma proteins with HF by diabetes status. We performed (1) Cox regression to identify proteins associated with HF by diabetes status, (2) external validation in the MESA study (Multi-Ethnic Study of Atherosclerosis, n=5233, 633 with diabetes), and (3) …

Comparison Of Opioid Utilization In Older Adults With Rheumatoid Arthritis Before And After Initiating Biological Or Targeted Synthetic Disease-Modifying Antirheumatic Drugs, Yinan Huang, Shadi Bazzazzadehgan, Liang-Yuan Lin, Omkar Ghodke, Sebastian Bruera, Kaustuv Bhattacharya, Sujith Ramachandran, John P Bentley, Sandeep K Agarwal, Yi Yang

Faculty, Staff and Students Publications

Introduction: Opioid use is common in rheumatoid arthritis (RA) for pain management; however, evidence of opioid-associated adverse events is increasing. While biological (b) or targeted synthetic (ts) disease-modifying antirheumatic drugs (DMARDs) improve functional outcomes such as pain, little is known about their impact on opioid utilization patterns. This study investigated opioid utilization before and after b/tsDMARD initiation and assessed effect modification by sex.

Methods: Using 5% Medicare claims data from 2012 to 2020, this cohort study included older adults (≥ 65 years) with RA who initiated b/tsDMARDs (first prescription = index date), and had continuous Medicare Parts A, B, and …

Statistical Methods In Aging Research: Improving Current Practices And Embracing Emerging Approaches, Deependra K Thapa, Erik S Parker, Mounika Kandukuri, Xi Rita Wang, Thirupathi R Mokalla, Olivia C Robertson, Wasiuddin Najam, Andrew E Teschendorff, Andrew W Brown, John R Speakman, Yisheng Peng, Bernard S Gorman, Heping Zhang, Luis-Enrique Becerra-Garcia, Colby J Vorland, David B Allison

Faculty, Staff and Students Publications

Aging research relies on varied statistical methods, and applying these methods appropriately is important for scientific rigor. However, proper use of these statistical techniques is a challenge. We discuss two categories of statistical methods in aging research: (a) emerging methods requiring further validation, including techniques to examine compression of morbidity, maximum lifespan, immortal time bias, molecular aging clocks, and treatment response heterogeneity, and (b) classic and existing methods needing reconsideration and improvement, such as stepwise regression, generalized linear models, methods for accounting for clustering and nesting effects, methods for testing for group differences, methods for mediation …

Risk Factors For Acute Rejection In Pediatric Lung Transplantation And Its Impact On Graft Failure, Sophie Li, Spoorthi Kamepalli, David Moreno Mcneill, Selena Li, Abbas Rana

Faculty, Staff and Students Publications

Background: Although acute rejection is a common complication of lung transplantation, few studies have analyzed risk factors for acute rejection in pediatric lung transplant patients. The purpose of this study was to examine risk and protective factors for acute rejection in pediatric lung transplantation and its impact on graft failure.

Methods: A retrospective analysis was performed on lung transplant data for a cohort of 906 pediatric patients from the Organ Procurement and Transplantation Network (OPTN) Database between October 1, 1987, and June 30, 2023. Multivariable logistic regression was conducted to identify risk and protective factors for acute rejection, adjusting for …

Impulsivity In Cerebellar Ataxia: An Online, Multidimensional Assessment, Brooke Chasalow, Yakov Flaumenhaft, Yael De Picciotto, Chi-Ying R Lin, Leila Montaser-Kouhsari, William Saban

Faculty, Staff and Students Publications

While considered a motor control structure, the cerebellum contributes to non-motor functions, including impulsivity. However, whether it contributes to impulsivity in a domain-specific manner remains unknown. Studies on cerebellar ataxia (CA), a common model for cerebellar dysfunction, typically have small sample sizes, limiting robustness. In a multicenter cross-sectional study, we investigated the cerebellum's role in various forms of impulsivity by comparing large cohorts of CA to age- and education-matched neurotypical healthy (NH) controls. Additionally, to examine the ability to identify individuals with CA using impulsivity features alone, we developed supervised machine learning (ML) models. In experiment 1 (CA = 140, …

Lonp1 Variants Are Associated With Clinically Diverse Phenotypes, Randee E Young, Lu Qiao, Rebecca Hernan, David A Sweetser, Jessica L Waxler, Daryl A Scott, Tiana M Scott, Seema R Lalani, Mahshid S Azamian, Jill A Rosenfeld, Bret Bostwick, Lindsay C Burrage, Lance H Rodan, Bianca E Russell, Marina Dutra-Clarke, Michael Kruer, Somayeh Bakhtiarim, Hossein Darvish, David J Amor, Shamima Rahman, Karen Stals, Lisa Bradley, Susan Byrne, Leandra K Tolusso, Beatrix Wong, Laura Benedict, Kimberly Wallis, Kestutis Micke, Cindy Colson, Thomas Smol, Sabrina V Southwick, Kristen A Miller, Michelle L Kush, Odelia Chorin, Annick Rothschild, Wei Wang, Yufeng Shen, Wendy K Chung

Faculty, Staff and Students Publications

LONP1 encodes a mitochondrial protease essential for protein quality control and metabolism. Variants in LONP1 are associated with a diverse and expanding spectrum of disorders, including Cerebral, Ocular, Dental, Auricular, and Skeletal anomalies syndrome (CODAS), congenital diaphragmatic hernia (CDH), and neurodevelopmental disorders (NDD), with some individuals exhibiting features of mitochondrial encephalopathy. We report 16 novel LONP1 variants identified in 16 individuals (11 with NDD, 5 with CDH), further expanding the clinical spectrum. Structural mapping of disease-associated missense variants revealed phenotype-specific clustering, with CODAS variants enriched in the proteolytic chamber and NDD variants more broadly distributed. CODAS is caused by biallelic …

Distributed Battery-Free Bioelectronic Implants With Improved Network Power Transfer Efficiency Via Magnetoelectrics, Joshua E Woods, Fatima Alrashdan, Ellie C Chen, Wendy Tan, Mathews John, Lukas Jaworski, Drew Bernard, Allison Post, Angel Moctezuma-Ramirez, Abdelmotagaly Elgalad, Alexander G Steele, Sean M Barber, Philip J Horner, Amir H Faraji, Dimitry G Sayenko, Mehdi Razavi, Jacob T Robinson

Faculty, Staff and Students Publications

Networks of miniature implants could enable simultaneous sensing and stimulation at different locations in the body, such as the heart and central or peripheral nervous system. This capability would support precise disease tracking and treatment or enable prosthetic technologies with many degrees of freedom. However, wireless power and data transfer are often inefficient through biological tissues, particularly as the number of implanted devices increases. Here we show that magnetoelectric wireless data and power transfer supports a network of millimetre-sized bioelectronic implants in which system efficiency improves with additional devices. We demonstrate wireless, battery-free networks ranging from one to six implants, …

Lower Gyrification Of The Ventromedial Prefrontal Cortex In Posttraumatic Stress Disorder: An Enigma-Ptsd Study., Ahmed Hussain, C Lexi Baird, Ashley A Huggins, Courtney C Russell, Delin Sun, Leonel Rangel-Jimenez, Chadi G Abdallah, Michael Angstadt, Geoffrey May, Hannah Berg, Jennifer U Blackford, Josh Cisler, Judith K Daniels, Nicholas D Davenport, Richard J Davidson, Maria Densmore, Seth G Disner, Wissam El-Hage, Amit Etkin, Negar Fani, Jessie L Frijling, Evan M Gordon, Daniel W Grupe, Ryan A Herringa, Julia I Herzog, David Hofmann, Anna R Hudson, Tanja Jovanovic, Anthony King, Saskia B J Koch, Ruth A Lanius, Amit Lazarov, Gen Li, Israel Liberzon, Shmuel Lissek, Guangming Lu, Antje Manthey, Adi Maron-Katz, Katie A Mclaughlin, Sven C Mueller, Laura Nawijn, Steven M Nelson, Yuval Neria, Richard W J Neufeld, Jack B Nitschke, Bunmi O Olatunji, Miranda Olff, Matthew Peverill, Rongfeng Qi, Yann Quidé, Orren Ravid, Ivan Rektor, Kerry J Ressler, Pavel Říha, Marisa Ross, Kelly Sambrook, Christian Schmahl, Anika Sierk, Scott R Sponheim, Jennifer S Stevens, Thomas Straube, Benjamin Suarez-Jimenez, Jean Théberge, Nic J A Van Der Wee, Steven J A Van Der Werff, Sanne J H Van Rooij, Mirjam Van Zuiden, Dick J Veltman, Robert R J M Vermeiren, Henrik Walter, Li Wang, Xi Zhu, Ye Zhu, Sigal Zilcha-Mano, Neda Jahanshad, Paul M Thompson, Rajendra A Morey

Faculty, Staff and Students Publications

Background: Cortical gyrification involves the formation of folds in the cerebral cortex, coinciding with key neurodevelopmental processes. Its strong correlation with increased cortical surface area and decreased cortical thickness may improve cortical signaling efficiency by decreasing cortico-cortical distance. Differences in brain structure have been found in posttraumatic stress disorder (PTSD), yet few small studies have examined cortical gyrification.

Methods: Gyrification was quantified using FreeSurfer's Local Gyrification Index (lGI), derived from 3-dimensional T1-weighted volumetric brain magnetic resonance imaging in 1876 participants (PTSD n = 789, control n = 1087) across 24 sites from the ENIGMA-PGC (Enhancing Neuro Imaging Genetics through Meta-Analysis …

Linkage Disequilibrium Score Regression Identifies Genetic Correlations Between Hepatocellular Carcinoma And Clinically Relevant Traits, Younghun Han, Vikram R Shaw, Jinyoung Byun, Aaron P Thrift, Catherine Zhu, Donghui Li, Rikita I Hatia, Robin Kate Kelley, Sean P Cleary, Anna S Lok, Paige M Bracci, Jennifer B Permuth, Roxana Bucur, Jennifer Knox, Jian-Min Yuan, Amit G Singal, Prasun K Jalal, R Mark Ghobrial, Yuko Kono, Dimpy P Shah, Mindie H Nguyen, Neehar D Parikh, Richard Kim, Hui-Chen Wu, Hashem El-Serag, Ping Chang, Yun Shin Chun, Jian Gu, Chad Huff, Asif Rashid, Lu-Yu Hwang, Alison P Klein, Saira A Khaderi, Ahmed O Kaseb, Kathrine A Mcglynn, Lewis R Roberts, Manal M Hassan, Christopher I Amos

Faculty, Staff and Students Publications

Hepatocellular carcinoma (HCC) mortality is increasing globally, partly due to the growing prevalence of nonviral liver diseases. Genome-wide association studies (GWAS) have identified genetic variants associated with HCC development. Leveraging GWAS summary statistics and linkage disequilibrium score regression (LDSR), we investigated disease co-development with hepatitis C virus-negative (HCV-negative) HCC to provide unique insights into HCC etiology and prioritize relationships for further causal inquiry. We utilized the LDSR statistical framework to estimate the genetic correlation and heritability between HCV-negative HCC with 901 epidemiologic, behavioral, and clinical traits from the United Kingdom Biobank (UKBB). First, we set the threshold for observed scale …

Comparison Of Variant Callers Using 60 532 Multi-Ancestry Whole Genome Sequences, Hufeng Zhou, Zilin Li, Derek Shyr, Xihao Li, Haoyu Yang, Rounak Dey, Yushi Tang, Robert Maier, Eric Boerwinkle, Steve Buyske, Mark Daly, Adam Felsenfeld, Richard A Gibbs, Namrata Gupta, Ira M Hall, Tara Matise, Ginger A Metcalf, Albert Smith, Catherine Reeves, Heidi J Sofia, Nathan O Stitziel, Michael C Zody, Nhgri Genome Sequencing Program (Gsp) Consortium, Benjamin Neale, Xihong Lin

Faculty, Staff and Students Publications

Whole genome sequencing (WGS) studies play a pivotal role in studying the genetic underpinnings of human diseases and traits. High quality and reproducible variant calling is the cornerstone for the success of downstream analyses, including WGS association studies and polygenic risk prediction. This paper compares the data quality, performance, and concordance of two widely used WGS variant callers, the Genome Analysis Toolkit (GATK) and Variant Tool set that discovers short variants (VT), using 60 532 multi-ancestry whole genomes sequenced by the Centers for Common Disease Genomics (CCDGs) of the NHGRI Genome Sequencing Program. Our findings show that both QCed GATK …

The Role Of Top-Down Appetite Self-Regulation In The Development Of Healthy Eating Behaviors Among Children: A Narrative Review And Socialization Framework, David J Bridgett, Sheryl O Hughes, Matthew Broussard, Daniela Mccourt, Christina M Croce, Jennifer O Fisher

Faculty, Staff and Students Publications

Appetite self-regulation (ASR) among children is thought to have a fundamental role in shaping the development of healthy eating behaviors, dietary intake, and growth during childhood. Parallel to developmental frameworks for understanding "general" self-regulation among children, ASR has been described as involving children's use of "top-down" cognitive processes to moderate "bottom-up" biological drives around food approach and avoidance in the interest of achieving desired eating behaviors or outcomes. Whereas bottom-up ASR processes during early childhood are well characterized, particularly in the context of dysregulation and obesity risk, the role of top-down ASR processes in the development of healthy eating behaviors …

Spatial Profiling Reveals Distinct Molecular And Immune Evolution Of Mouse Lung Adenocarcinoma Precancers With Or Without Carcinogen Exposure, Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian-Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao-Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y Liu, Beibei Huang, Frank R Rojas, Parra Cuentas Edwin Roger, Ou Shi, Monique B Nilsson, Alissa Poteete, Khaja B Khan, Wei Lu, Luisa M Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I Wistuba, Zhubo Wei, Linghua Wang, Don L Gibbons, Ken Chen, Alexandre Reuben, Jason M Schenkel, John V Heymach, Chao Cheng, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

Tumor evolution involves genetic, transcriptional, and phenotypic alterations that shape cancer cell behavior and interactions with the microenvironment. While single‐cell technologies have advanced our understanding of this process, spatial dynamics remain incompletely characterized. Here, whole‐exome sequencing (WES), imaging mass cytometry (IMC), and spatial transcriptomics (ST) were integrated to study molecular evolution and immune responses in two lung adenocarcinoma (LUAD) mouse models: a genetically engineered model (129S4/Sv‐KrasLSL‐G12D, termed 129S4 K) and a carcinogen‐induced precancer model (129S4 U). Compared to 129S4 K, 129S4 U tumors exhibited higher mutational, neoantigen but lower copy number variation (CNV) burdens at matched developmental timepoints, consistent with …

Rab4 Spatially And Functionally Converges With Rab7 In The Degradative Endolysosomal Network, Stephen M Farmer, Shiyu Xu, Yue Yu, Xin Ye, Haoyi Yang, Jing Cai, Beatriz Rios, Wen-Wen Lin, Daniela Covarrubias, Vicky Chuong, Lili Ye, German Zylberberg, Charissa Wang, Erin Furr-Stimming, Qingchun Tong, Oguz Kanca, Hugo J Bellen, Travis I Moore, Sheng Zhang

Faculty, Staff and Students Publications

Rab GTPases are key regulators of endosomal trafficking in eukaryotes. In mammalian cells, Rab4 and Rab7 were shown to localize to distinct compartments, with Rab4 on early endosomes for fast recycling and Rab7 on late endosomes for degradation. Here, we show that in Drosophila, endogenous Rab4 and Rab7 extensively colocalize across tissues and developmental stages. Recruited to the same compartments through mechanisms that do not require the activity of the other, they have opposing effects on endolysosomal size: Rab4 overexpression or Rab7 impairment leads to enlarged endolysosomes, whereas Rab4 loss or constitutively active Rab7 reduces their sizes. Rab4 deficiency suppresses …

Predictive Validity Of The Obsessive-Compulsive Inventory-4 And Florida Obsessive-Compulsive Inventory-Ii Severity Scale, Eric A Storch, Ryan J Mccarty, Maya Zehavi, Mahnoor Ahmad, Vanessa Zavala Cruz, Dayan Berrones, Josselyn S Muñoz, Diana Obando, Servando Rodriguez Barajas, Renee M Frederick, Jacey L Anderberg, Hannah C Moore, Marcos E Ochoa-Panaifo, Mayra C Martinez Mallen, Ogechi C Onyeka, Andrew D Wiese, Melisa N Sagarnaga, Joseph F Mcguire, Ygor Arzeno Ferrão, Latin American Trans-Ancestry Initiative For Ocd Genomics (Latino), Wayne K Goodman, James J Crowley, Brazilian Obsessive-Compulsive Spectrum Disorder Working Group (Gttoc)

Faculty, Staff and Students Publications

Efficient and accurate screening tools are crucial for improving early identification and treatment outcomes among individuals with obsessive-compulsive disorder (OCD). This study evaluated the sensitivity and specificity of two OCD screening measures: the Obsessive-Compulsive Inventory-4 (OCI-4) and the Florida Obsessive-Compulsive Inventory-II (FOCI-II) severity scale. The measures were administered in a large transnational sample of Spanish speaking Latin American adults (N = 1696) with elevated obsessive-compulsive symptomatology. Participants completed diagnostic interviews (MINI and Y-BOCS) and self-report assessments across 23 sites in 11 countries. Both measures significantly distinguished OCD from non-OCD cases, with the FOCI-II demonstrating somewhat better predictive performance (AUC = …

Segmental And Multifocal Isolated Dystonias: Similarities And Differences, Hyder A Jinnah, Vittorio Velucci, Daniele Belvisi, Gamze Kilic-Berkmen, Joel S Perlmutter, Laura J Wright, Christine Klein, Jeanne S Feuerstein, Steven Bellows, Joseph Jankovic, Cynthia Comella, Richard L Barbano, Aparna Wagle Shukla, Stephen G Reich, Mark S Ledoux, Alberto J Espay, Kevin R Duque, Florence C F Chang, Victor S C Fung, Sarah Pirio-Richardson, Carmen Terranova, Emile S Moukheiber, Sarah Idrissi, Barbara Vitucci, Susan H Fox, Samuel Frank, Natividad Stover, Brian D Berman, Rachel Saunders-Pullman, William G Ondo, Christopher L Groth, Marcello Esposito, Laura Avanzino, Francesco Bono, Roberto Erro, Marcello Mario Mascia, Antonella Muroni, Alfredo Berardelli, Giovanni Defazio

Faculty, Staff and Students Publications

Background: Whether the traditional distinction between segmental and multifocal dystonia is clinically or scientifically useful remains unclear.

Objective: To evaluate whether idiopathic isolated adult-onset segmental and multifocal dystonia can be differentiated based on clinical features other than the contiguity of affected body regions.

Methods: We compared data on segmental and multifocal dystonia from two large dystonia databases established in the USA and Italy that used similar criteria for patient recruitment and assessment.

Results: Compared to segmental dystonia, multifocal dystonia was characterized by a higher proportion of men, a younger age at dystonia onset, a greater frequency of upper limb dystonia, …

Validation And Longitudinal Trajectory Analysis Of An Ai-Based Ecg Model For Aortic Stenosis: From Community Screening To Pre-Ta\Vr Risk Stratification, Matthew W Segar, Kaleb D Lambeth, Alexander Postalian, Stephanie Coulter, Jasen Gilge, Naveed Razvi, Mohammad Saeed, Robert D Paisley, Ambarish Pandey, Mehdi Razavi

Faculty, Staff and Students Publications

Aims: Early aortic stenosis (AS) detection remains challenging, with many patients presenting late when left ventricular dysfunction may be irreversible. We evaluated whether longitudinal AI-enhanced ECG patterns can predict outcomes years before intervention and assessed the community screening potential of the AK-AVS model.

Methods and results: We conducted two complementary analyses: (1) community validation of the AK-AVS model in 3632 cardiovascular disease-free ARIC participants, and (2) longitudinal trajectory analysis of 7860 ECGs from 2040 TAVR recipients collected up to 10 years pre-procedure. Unsupervised clustering identified distinct AK-AVS trajectories, with mortality associations assessed using Cox regression and net reclassification improvement. In …

Multi-Ancestry Genome-Wide Association Study And Meta-Analysis Of Lung Function Decline, Bonnie K Patchen, Jingwen Zhang, Nathan Gaddis, Traci M Bartz, Jing Chen, Catherine Debban, Hampton Leonard, Ngoc Quynh H Nguyen, Jungkyun Seo, Courtney Tern, Richard Allen, Dawn L Demeo, Myriam Fornage, Carl Melbourne, Melyssa Minto, Matthew Moll, George T O'Connor, Tess Pottinger, Bruce M Psaty, Stephen S Rich, Jerome I Rotter, Edwin K Silverman, Jeran Stratford, Chengyue Zhang, R Graham Barr, Michael H Cho, Sina A Gharib, Ani Manichaikul, Kari North, Elizabeth C Oelsner, Eleanor M Simonsick, Martin D Tobin, Bing Yu, Seung Hoan Choi, Josée Dupuis, Patricia A Cassano, Dana B Hancock

The Brown Foundation: Institute of Molecular Medicine

Background

Despite evidence for a genetic component, few genetic associations with lung function decline have been identified. We aimed to evaluate genome-wide associations and putative downstream functionality of genetic variants for lung function decline.

Methods

We conducted genome-wide association study (GWAS) analyses of decline in FEV1, FVC, and FEV1/FVC in 52,056 White (N = 44,988), Black (N = 5,788), Hispanic (N = 550), and Chinese American (N = 730) participants across seven general population cohorts. GWAS analyses were stratified by cohort, ancestry, and sex. Results were combined in cross-ancestry and ancestry-specific meta-analyses. Significant variants available in …

Aggregation Of Gene Regulatory Information And Knowledge On Fair Principles Enables Discovery Of Pathogenic Gene Regulatory Variants, Keyang Yu, Haoquan Zhao, Andrea S Wilderman, Tierra R Farris, Jessie E Arce, David Chen, Andrew R Jackson, Yiran Guo, Qi Li, Bosko Jevtic, Dubravka Jevtic, Vuk Milinovic, Yuankun Zhu, Jeremy Costanza, Eric D Wenger, Christopher Nemarich, Lisa Anderson, Aleksandar Mihajlović, Kristin Ardlie, Shaine A Morris, Matthew E Roth, Deanne M Taylor, Adam C Resnick, Lilei Zhang, Aleksandar Milosavljevic

Faculty, Staff and Students Publications

Motivation: Methods for sharing gene regulatory information and knowledge on FAIR principles, particularly in the context of tissue-specific gene regulation, remain poorly defined and implemented, hampering discovery and clinical genetic diagnosis.

Results: We specified FAIR principles for tissue-specific gene regulatory information and knowledge; implemented them by developing a registry of regulatory elements and aggregating FAIR gene regulatory information from several major sources; developed computational tools that utilize these FAIR resources; and demonstrated their utility by associating gene regulatory variants with major subtypes of congenital heart disease.

Bone Marrow Endosteum Houses Hedgehog-Susceptible Dlx5-Expressing Osteoblast Precursor Cells, Keita Kondo, Yuki Matsushita, Shion Orikasa, Yuta Nakai, Aiko Kuroda, Shinsuke Ohba, Wanida Ono, Noriaki Ono

Faculty, Staff and Student Publications

The bone marrow endosteum provides a robust source of bone-making osteoblasts by housing various types of osteoblast precursor cells, including endosteal stem cells expressing fibroblast growth factor receptor 3 (Fgfr3) and their downstream progenitor cell populations. In fetal bone development, Dlx5 marks early perichondrial cells that populate the diaphyseal bone and marrow stroma in the postnatal stages. However, the location of Dlx5-expressing cells in the postnatal bone marrow and how they contribute to osteogenesis remain undefined. Here, we show that Dlx5