Digital Commons Network^™

Multi-Trait And Multi-Ancestry Genetic Analysis Of Comorbid Lung Diseases And Traits Improves Genetic Discovery And Polygenic Risk Prediction, Yixuan He, Wenhan Lu, Yon Ho Jee, Mu-Yi Shih, Ying Wang, Kristin Tsuo, David C Qian, James A Diao, Hailiang Huang, Chirag J Patel, Jinyoung Byun, Bogdan Pasaniuc, Elizabeth G Atkinson, Christopher I Amos, Yen-Chen Anne Feng, Matthew Moll, Michael H Cho, Alicia R Martin

Faculty, Staff and Students Publications

While respiratory diseases such as chronic obstructive pulmonary disease (COPD) and asthma share many risk factors, most studies investigate them in isolation and in predominantly European-ancestry populations. Here, we conducted the most powerful multi-trait and multi-ancestry genetic analysis of respiratory diseases and auxiliary traits to date, identifying 25 new loci associated with lung function in individuals of East Asian ancestry. Using these results, we developed PRSxtra (cross-trait and cross-ancestry), a multi-trait and multi-ancestry polygenic risk score (PRS) approach that leverages shared components of heritable risk via pleiotropic effects. PRSxtra significantly improved the prediction of asthma, COPD and lung cancer compared …

Integrated Transcriptomic Landscape Of Medulloblastoma And Ependymoma Reveals Novel Tumor Subtype-Specific Biology, Sonali Arora, Nicholas Nuechterlein, Matt Jensen, Gregory Glatzer, Philipp Sievers, Srinidhi Varadharajan, Andrey Korshunov, Felix Sahm, Stephen C Mack, Michael D Taylor, Taranjit S Gujral, Eric C Holland

Faculty, Staff and Students Publications

Background: Medulloblastoma and ependymoma are common pediatric central nervous system tumors with significant molecular and clinical heterogeneity. While molecular subgrouping has enabled classification into molecular subtypes, the extent of heterogeneity within these subgroups remains poorly defined.

Methods: We collected bulk RNA sequencing data from 888 medulloblastoma and 370 ependymoma tumors to establish a comprehensive reference landscape. After rigorous batch effect correction, normalization, and dimensionality reduction, we generated a unified landscape to explore gene expression, signaling pathways, RNA fusions, and copy number variations.

Results: Our transcriptional analysis revealed distinct clustering patterns, including two primary ependymoma compartments, EPN-E1 and EPN-E2, each with …

Baseline Characteristics In The Synchronize™-2 Randomized Phase 3 Trial Of Survodutide, A Glucagon Receptor/Glp-1 Receptor Dual Agonist, For Obesity In People With Type 2 Diabetes, Sean Wharton, Carel W Le Roux, Biykem Bozkurt, Elke Platz, Gabriele Bleckert, Samina Ajaz Hussain, Martina Brueckmann, Elena Startseva, Isabel M Kloer, Lee M Kaplan

Faculty, Staff and Students Publications

Aims: Survodutide is an investigational glucagon receptor/glucagon-like peptide-1 receptor dual agonist that has shown promise for treating obesity and its complications in Phase 2 trials. Two double-blind, randomized, global Phase 3 trials are designed to assess the efficacy and safety of survodutide for treatment of obesity-SYNCHRONIZE™-1 in people with obesity without type 2 diabetes (T2D) and SYNCHRONIZE™-2 in people with obesity and T2D. This paper describes the baseline characteristics of participants in SYNCHRONIZE-2 (ClinicalTrials.gov identifier NCT06066528).

Materials and methods: Participants aged ≥18 years with a body mass index (BMI) ≥27 kg/m2 and T2D were randomized 1:1:1 to weekly subcutaneous …

Cyclic Amp-Dependent Regulation Of Ryanodine Receptors In Healthy And Diseased Hearts, Mohit M Hulsurkar, Isabelle Ong, Joshua A Keefe, Issam H Abu-Taha, Dobromir Dobrev, Xander H T Wehrens

Faculty, Staff and Students Publications

Cyclic adenosine monophosphate (cAMP) is a critical second messenger in cardiomyocytes, regulating essential cellular functions. Upon G-protein-coupled receptor stimulation, adenylyl cyclase (AC) synthesizes cAMP, which phosphodiesterase (PDE) enzymes subsequently degrade. Recent studies challenge the traditional view of uniform cAMP signaling, revealing nanodomain-specific regulation within cardiomyocytes. This localized cAMP signaling modulates key Ca2+-handling proteins, including ryanodine receptor type-2 (RyR2), through channel-bound protein kinases and PDEs. Additionally, nucleoside-diphosphate kinases (NDPKs), particularly NDPK-C, contribute to cAMP synthesis and RyR2 regulation. Elevated NDPK-C levels in failing hearts correlate with increased cAMP levels, enhanced sarcoplasmic reticulum Ca2+ release, and cardiac arrhythmias. Furthermore, cAMP influences the …

Enteral And Intravenous Supplementation Of Arginine And Citrulline Fail To Prevent Necrotizing Enterocolitis In Preterm Neonatal Pigs, Caitlin Vonderohe, Julia Garcia Mancebo, Valeria Melendez Hebib, Barbara Stoll, Inka Didelija, Sarah Elefson, Mahmoud Mohammad, Brooklynn Earls, Greg Guthrie, Doug Burrin

Children’s Nutrition Research Center Staff Publications

Background: Necrotizing enterocolitis (NEC) is the most common gastrointestinal emergency in preterm infants with a morality rate that approaches 50%. Arginine has been widely studied in the field of clinical nutrition as a supplement for patients experiencing critical illness because it can be metabolized into nitric oxide, an important agent for supporting immunity and microcirculation. Citrulline has received less attention but can be metabolized into arginine and has a much longer plasma half-life than arginine. We used the highly translational preterm pig model to determine the effect of intravenous and enteral supplementation of arginine and citrulline on NEC incidence in …

Unravelling The Molecular Mechanisms Causal To Type 2 Diabetes Across Global Populations And Disease-Relevant Tissues, Ozvan Bocher, Ana Luiza Arruda, Satoshi Yoshiji, Chi Zhao, Alicia Huerta-Chagoya, Chen-Yang Su, Xianyong Yin, Davis Cammann, Henry J Taylor, Jingchun Chen, Ken Suzuki, Ravi Mandla, Ta-Yu Yang, Fumihiko Matsuda, Josep M Mercader, Jason Flannick, James B Meigs, Alexis C Wood, Marijana Vujkovic, Benjamin F Voight, Cassandra N Spracklen, Jerome I Rotter, Andrew P Morris, Eleftheria Zeggini

Children’s Nutrition Research Center Staff Publications

Type 2 diabetes (T2D) is a prevalent disease arising from complex molecular mechanisms. Here we leverage T2D genetic associations to identify causal molecular mechanisms in an ancestry-aware and tissue-aware manner. Using two-sample Mendelian randomization corroborated by colocalization across four global ancestries, we analyse 20,307 gene and 1,630 protein expression levels using blood-derived cis-quantitative trait loci (QTLs). We detect causal effects of genetically predicted levels of 335 genes and 46 proteins on T2D risk, with 16.4% and 50% replication in independent cohorts, respectively. Using gene expression cis-QTLs derived from seven T2D-relevant tissues, we identify causal links between the expression of 676 …

Uncovering Predictors Of Bipolar Ii Conversion To Bipolar I: A Machine Learning Analysis Of National Health Records In Taiwan, Chih-Wei Hsu, Yang-Chieh Brian Chen, Liang-Jen Wang, Kuo-Chuan Hung, Mu-Hong Chen, Eduard Vieta, Chien-Yuan Chen, Chih-Sung Liang, Andre F Carvalho

Children’s Nutrition Research Center Staff Publications

Background: Bipolar II disorder (BD-II) can progress to bipolar I disorder (BD-I), carrying profound psychosocial consequences. However, limited research has investigated the transition from BD-II to BD-I. Our study uses machine learning to predict the conversion using real-world data.

Methods: We conducted a retrospective cohort study using the Taiwan National Health Insurance Research Database (2000-2013) to identify adults diagnosed with BD-II. A predictive model for BD-I conversion was developed using extreme gradient boosting (XGBoost), incorporating demographic factors, healthcare utilization, comorbidities, and psychotropic medication use. The dataset was randomly divided into development (80 %) and test (20 %) sets. Model performance …

Catatonia And Elevated Mortality: A Population-Wide Cohort Study With Healthy, Sibling, And Schizophrenia Spectrum Controls, Chih-Wei Hsu, Yang-Chieh Brian Chen, Marco Solmi, Chih-Sung Liang, Mu-Hong Chen, Yao-Hsu Yang, Liang-Jen Wang, Edward Chia-Cheng Lai

Children’s Nutrition Research Center Staff Publications

Aim: To determine whether catatonia is associated with increased long-term all-cause and cause-specific mortality.

Methods: Using Taiwan's National Health Insurance Database (2000-2022), we assembled a population-based cohort of all adults (≥18 years) with catatonia and matched each to four controls without catatonia on sex and birthdate. Mortality was compared between (1) individuals with catatonia and their unaffected siblings and (2) individuals with schizophrenia spectrum disorders with catatonia and those with schizophrenia spectrum disorders without catatonia. The primary outcome was all-cause mortality; secondary outcomes were natural- and unnatural-cause deaths. Adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated with …

Proceedings Of The Second Artificial Intelligence In Primary Immunodeficiency (Aipi) Meeting, Jacques G Rivière, Lisa Bastarache, Luiza C Campos, Gerard Carot-Sans, Aaron Chin, Rumi Chunara, Charlotte Cunningham-Rundles, Lorenzo Erra, Jocelyn Farmer, Nicolas Garcelon, Elena Hsieh, Helen Leavis, Seungwon Lee, Liangying Liu, Maaike Kusters, Brian C Lloyd, Alexandra K Martinson, Rachel Mester, Justin B Moore, Despina Moshous, Jordan S Orange, Nefatia Parrish, Sarah Henrickson Parker, Bogdan Pasaniuc, Xiao P Peng, Martine Pergent, Jordi Piera-Jiménez, Jessica Quinn, Sidharth Ramesh, Kirk Roberts, Peter N Robinson, Guergana Savova, Christopher Scalchunes, Markus G Seidel, Rachel Simoneau, Pere Soler-Palacin, Kathleen E Sullivan, Marielle Van Gijn, Chung-Il Wi, Dawei Zhou, Vanessa Tenembaum, Manish J Butte, Nicholas L Rider

Faculty, Staff and Student Publications

The use of artificial intelligence (AI) in inborn errors of immunity offers transformative potential in diagnostics and disease management but faces multiple challenges that were discussed at the second Artificial Intelligence in Primary Immunodeficiency conference, held in New York City (March 19-22, 2025). The conference addressed 7 themes: predictive diagnostic algorithms, health equity, industry collaboration, advanced computational tools like large language models, patient-led AI initiatives, multiomics integration, and implementation science. Discussions highlighted the growing impact of AI on diagnostics, genomics, and health systems, emphasizing the need for high-quality, diverse datasets and ethical safeguards to ensure equitable application. Participants stressed that …

Scper: A Rigorous Computational Approach To Determine Cellular Subtypes In Tumors Aligned With Cancer Phenotypes From Total Rna Sequencing, Bingrui Li, Xiaobo Zhou, Raghu Kalluri

Faculty, Staff and Student Publications

Single-cell RNA sequencing (scRNA-seq) is a powerful technique for understanding cellular diversity, but processing large patient cohorts to identify phenotype-associated cell populations remains challenging. Here, scPER (Estimating cell Proportions using single-cell RNA-seq Reference), a rigorous approach combining adversarial autoencoder and extreme gradient boosting to estimate tumor microenvironment cell compositions and identify phenotype-associated subclusters for bulk RNA-seq samples. Integrating scRNA-seq datasets from diverse studies, scPER constructed comprehensive reference panels and disentangled confounders from true signals. scPER achieved superior accuracy in cellular proportion estimation compared to CIBERSORTx, BayesPrism, Scaden, MuSiC, SCDC, DeSide and ReCIDE. It showed high accuracy in predicting metastatic melanoma …

Genetic Architecture Of N-Terminal Pro-B-Type Natriuretic Peptide In A Multiancestry Study Population, Naman S Shetty, Akhil Pampana, Mokshad Gaonkar, Amrita Nayak, Harshvir S Bal, Nirav Patel, Nehal Vekariya, J Gustav Smith, Alanna C Morrison, Bing Yu, Bruce M Psaty, Eric Boerwinkle, James S Floyd, Jerome I Rotter, Kent D Taylor, Leslie A Lange, Marguerite R Irvin, Mary Cushman, Stephen S Rich, Ramachandran S Vasan, Thomas J Wang, Xiuqing Guo, Peng Li, Garima Arora, Pankaj Arora

Faculty, Staff and Student Publications

Background: NPs (natriuretic peptides) are bioactive hormones crucial for regulating blood pressure, glucose homeostasis, and lipid metabolism. Despite the high heritability of circulating NP levels, the genetic determinants of NP regulation, particularly across ancestries and sexes, remain poorly understood. The objective of the current study was to identify genetic variants associated with NT-proBNP (N-terminal pro-B-type NP) levels in a multiancestry study population.

Methods: Whole genome sequencing and array-based data from 81 213 individuals without heart failure were analyzed from the Trans-Omics for Precision Medicine cohorts, UK Biobank, All of Us Research Program, and REGARDS (Reasons for Geographic and Racial Differences …

Bispectral Index-Guided Anesthesia For Older Patients Having Noncardiac Surgery: A Randomized Multicenter Trial, Li Zhou, Lin Ding, Hui Yang, Chengyu Li, Zhangsheng Yu, Wei Ma, Qiuyu Chen, Yanzhuo Zhang, Yong Li, Qingxiang Mao, Minghua Cheng, Gu Gong, Enqin Wang, Cunming Liu, Wei Hao, Hong Li, Changlin Chen, Yaling Fan, Zhenbo Su, Xiaoli Cai, Xiaole Zhang, Zhi Li, Bing Zhang, Yi Li, Chunxiu Jiang, Qinqin Yin, Jiali Jiao, Daniel I Sessler, Qian Li, Jin Liu

Faculty, Staff and Student Publications

Background: Older surgical patients are at risk because of age-related physiologic decline and comorbidities. Some guidelines recommend Bispectral Index (BIS; Medtronic, USA) monitoring to optimize anesthetic depth, but robust evidence supporting improved outcomes is lacking.

Methods: A randomized, multicenter, double-blind trial was conducted across 21 tertiary-care hospitals in China (March 17, 2015, to February 5, 2022). Patients aged 65 yr or older scheduled for elective noncardiac surgery (American Society of Anesthesiologists [ASA] Physical Status I to IV) were randomized 1:1 to BIS-guided or routine anesthetic management. In patients assigned to BIS guidance, hypnotic depth was adjusted to maintain BIS between …

Examination Of Traffic Safety In Neighborhoods Associated With Active Commuting To School In Austin, Texas, Kathryn G Burford, Deborah Salvo, Harold W Kohl, Leigh Ann Ganzar, Cici X Bauer, Eugen Resendiz, Yuzi Zhang, Deanna M Hoelscher

Faculty, Staff and Student Publications

Background: Only 10% of US children participate in active commuting (walking and bicycling) to school (ACS). Parental concerns related to traffic are a primary barrier to ACS, yet no studies have assessed these concerns together with neighborhood traffic safety-related features. This study examined the associations between traffic safety-related features in neighborhoods and ACS among school-age children in Austin, Texas.

Methods: This cross-sectional analysis utilized pre-COVID-19 baseline data (2019-2020) of parent-child dyads enrolled in the Safe TRavel Environment Evaluation in Texas Schools study. ACS, traffic safety-related features in the neighborhood (sidewalk availability, safe road crossings, traffic safety, traffic speed, and safety …

Cellstaar: Incorporating Single-Cell-Sequencing-Based Functional Data To Boost Power In Rare Variant Association Testing Of Noncoding Regions, Eric Van Buren, Yi Zhang, Xihao Li, Margaret Sunitha Selvaraj, Zilin Li, Hufeng Zhou, Nicholette D Palmer, Donna K Arnett, John Blangero, Eric Boerwinkle, Brian E Cade, Jenna C Carlson, April P Carson, Yii-Der Ida Chen, Joanne Curran, Ravindranath Duggirala, Myriam Fornage, Nora Franceschini, Misa Graff, Charles Gu, Xiuqing Guo, Jiang He, Nancy Heard-Cosa, Lifang Hou, Yi-Jen Hung, Rita R Kalyani, Sharon L R Kardia, Eimear Kenny, Charles Kooperberg, Brian G Kral, Leslie Lange, Dan Levy, Changwei Li, Simin Liu, Donald Lloyd-Jones, Ruth J F Loos, Ani W Manichaikul, Lisa Warsinger Martin, Rasika Mathias, Ryan L Minster, Braxton D Mitchell, Josyf C Mychaleckyj, Take Naseri, Kari North, Jeff O'Connell, James A Perry, Patricia A Peyser, Bruce M Psaty, Laura M Raffield, Ramachandran S Vasan, Susan Redline, Alex P Reiner, Stephen S Rich, Jennifer A Smith, Brian Spitzer, Hua Tang, Kent D Taylor, Russell Tracy, Satupa'itea Viali, Lisa Yanek, Wei Zhao, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Jerome I Rotter, Gina M Peloso, Pradeep Natarajan, Xihong Lin

Faculty, Staff and Student Publications

Understanding how rare genetic variants influence complex traits remains a major challenge, particularly when these variants lie in noncoding regions of the genome. The effects of variants within candidate cis-regulatory elements (cCREs) often depend on the cell type, making interpretation difficult. Here we introduce cellSTAAR, which integrates whole-genome sequencing data with single-cell assay for transposase-accessible chromatin using sequencing data to capture variability in chromatin accessibility across cell types via the construction of cell-type-specific functional annotations and regulatory elements. To reflect the uncertainty in cCRE-gene linking, cellSTAAR uses a comprehensive strategy to link cCREs to their target genes. We applied cellSTAAR …

Volumetric Buccal Bone Alterations At Immediate Implant Sites With Or Without Soft Tissue Augmentation: A 6-Month Assessment, Mary Jung, Duong Tran, Chi-Ching Chang, Sung K Kim, Yosuke Tsukiboshi, Seiko Min, Srinivas Ayilavarapu, Chun-Teh Lee

Faculty, Staff and Student Publications

Background: This study is part of a randomized controlled trial investigating the impact of soft tissue augmentation (STA) using subepithelial connective tissue graft (SCTG) (immediate implant with subepithelial connective tissue graft [ICT] group) or acellular dermal matrix (ADM) (immediate implant with acellular dermal matrix [IAD] group) versus no STA (control) on the clinical outcomes following immediate implant placement (IIP). This study aimed to investigate volumetric buccal bone dimensional changes at immediate implant sites 6 months after the surgery.

Methods: Forty-five patients requiring extraction of a maxillary anterior tooth or premolar and randomly assigned to one of the three groups were …

Evaluation Of The Intempo Path Set For Cyberknife Prostate And Lung Sbrt: A Single-Institution Experience, Yingcui Jia, Lei Fu, Shari Rudoler, Eric Gressen, Yevgeniy Vinogradskiy, Qianyi Xu

Department of Radiation Oncology Faculty Papers

PURPOSE: The InTempo adaptive imaging system is an important component of the Accuray CyberKnife System, designed to enhance the system's ability to track and correct tumor motion during treatment. However, a limitation of this feature is the reduction of available nodes for treatment planning. The impact of a reduced number of nodes on the quality of InTempo-based treatment plans has not previously been evaluated. This retrospective study aims to compare the dosimetry of CyberKnife plans with and without The InTempo path set for both prostate and lung stereotactic body radiotherapy (SBRT).

METHODS: This study included twelve consecutive prostate SBRT patients …

Investigation Of Teratogenic Concerns In The Coronavirus Disease Of 2019 Era, Kate Richardson, Emily C Daykin, Kathleen Shields, S Shahrukh Hashmi, Lorrie Harris-Sagaribay, Molly Daniels, Myla Ashfaq

Faculty, Staff and Student Publications

Background: MotherToBaby (MTB) is a teratogen information service that provides information about exposures during pregnancy and breastfeeding to the public and healthcare providers. During the Coronavirus Disease of 2019 (COVID-19) pandemic, MTB received an influx of queries regarding the teratogenicity of the virus and the vaccine. The purpose of this study was to assess the frequency and type of exposures asked about prior to the onset of the COVID-19 pandemic through March 2022 and to evaluate the demographics of individuals who made inquiries.

Methods: Data from MTB contacts (2018-2022) were accessed through a data-sharing agreement. The data were cleaned and …

Development And Implementation Of An Mri-Only Simulation, Planning, And Treatment Workflow For Prostate Radiotherapy Using Synthetic Ct On Mr-Linac, Reza Reiazi, Yao Ding, Sarath Vijayan, Jinzhong Yang, Ergys Subashi, Yao Zhao, Belinda M Lee, Hunter L Emory, Vi T Dinh, Greg L Swiedom, Jie Deng, Mu-Han Lin, Peter Balter, Rajat J Kudchadker, Elaine E Cha, Seungtaek Choi, Yusung Kim, Eun Young Han, Surendra Prajapati

Faculty, Staff and Student Publications

Purpose: We evaluated the feasibility of a magnetic resonance (MR)-only simulation, planning, and treatment (MROSPT) workflow for prostate cancer patients using synthetic computed tomography (sCT) generated from magnetic resonance imaging (MRI) data. By validating sCT-based dose calculations, we aimed to streamline radiotherapy workflows, eliminate the need for CT simulation, and enable reliable clinical implementation of MR-based radiotherapy for MR-linac (MRL).

Methods: We developed a comprehensive workflow encompassing the entire process from initial consultation to treatment delivery. After developing the workflow, a retrospective dosimetric validation study was performed on nine men with prostate cancer. They underwent CT and MRI simulations, and …

Visit-Level Quality Measurement Reveals Missed Opportunities And Overuse In Preventive Oral Health Care, Bunmi Tokede, Suhasini Bangar, Swaroop Gantela, Ryan Brandon, Alfa Yansane, Donald B Rindal, Don Worley, Joel White, Joanna Mullins, Ana Neumann, Todd Johnson, Nicholas Skourtes, Gregory Olson, Janelle Urata, Heather Weidner, Katie Lamberger, Aaron Truong, Heiko Spallek, Elsbeth Kalenderian, Muhammad F Walji

Faculty, Staff and Student Publications

Background: Traditional annual dental quality measures fail to capture real-time care delivery and can mask critical gaps in patient-specific treatment. The authors developed and implemented visit-level adaptations of established caries quality measures to enable actionable, point-of-care assessment.

Methods: The authors conducted a retrospective analysis of 1.09 million dental visits across 400,000 patients (2021-2023) at 4 US institutions using axiUm (Henry Schein Corp) or Epic (Epic Systems) electronic health records. The authors transformed 2 annual measures involving caries risk assessment and risk-based preventive treatment into visit-level metrics using a 2 × 2 matrix framework: action due and performed, due and not …

Impact Of Treatment Interruption On Outcomes In Head And Neck Cancer: Nrg/Rtog Secondary Analysis, Laila A Gharzai, Emily Morris, Matthew J Schipper, Kelley M Kidwell, Phuc Felix Nguyen-Tân, David I Rosenthal, Maura L Gillison, Richard C Jordan, Adam S Garden, Shlomo A Koyfman, Jimmy J Caudell, Dukagjin M Blakaj, Neal E Dunlap, Greg A Krempl, John M Longo, Christopher U Jones, Michael F Gensheimer, Thomas J Galloway, Lyudmila Demora, Quynh-Thu Le, Jennifer L Shah, Krithika Suresh, Michelle Mierzwa

Faculty, Staff and Student Publications

Importance: Historical evidence demonstrated that delays or interruptions in radiotherapy (RT) are associated with poorer oncologic outcomes in head and neck squamous cell carcinoma (HNSCC). Substantial concerns arose during the COVID-19 pandemic, when treatment schedules were frequently disrupted.

Objective: To determine the association of RT interruptions with locoregional failure (LRF) and overall survival (OS).

Design, setting, and participants: This retrospective review and secondary analysis of 3 randomized clinical trials (NRG/RTOG 0129, 0522, and 1016) included patients enrolled in the trials who were treated with RT. Patients with HNSCC were grouped as (1) p16-positive oropharynx (p16+ OPSCC) and (2) p16-negative oropharynx …

Identification Of Raptor And Gli1 As Usp37 Substrates Highlight Its Context-Specific Function In Medulloblastoma Cells, Ashutosh Singh, Donghang Cheng, Amanda R Haltom, Yanwen Yang, Tara Dobson, Rashieda Hatcher, Veena Rajaram, Vidya Gopalakrishnan

Faculty, Staff and Student Publications

The USP37 gene encodes a deubiquitylase (DUB), which catalyzes the proteolytic removal of ubiquitin moieties from proteins to modulate their stability, cellular localization or activity. Its expression is downregulated in a subgroup of medulloblastomas driven by constitutive activation of sonic hedgehog (SHH) signaling. Patients with SHH-driven medulloblastomas with elevated expression of the RE1 silencing transcription factor (REST) and reduced expression of USP37 have poor outcomes. In previous studies, we showed sustained proliferation of SHH-medulloblastoma cells due to blockade of terminal cell cycle exit and neuronal differentiation stemming from a failure in USP37-dependent stabilization of its target, the cyclin-dependent kinase inhibitor …

A Step-By-Step Guide To Performing Cancer Metabolism Research Using Custom-Made Media, Sophie Seifert, Francisco Yanqui-Rivera, Tim Kühn, Lena Elise Høyland, Toman Borteçen, Bella Agranovich, Lara Elea Eckhardt, Martin Herdt, Alessa Henneberg, Verena Panitz, Faisal Hayat, Marie Migaud, Gernot Poschet, Ifat Abramovich, Eyal Gottlieb, Jeroen Krijgsveld, Mathias Ziegler, Mirja Tamara Prentzell, Christiane A Opitz

Faculty, Staff and Student Publications

The preparation of custom-made media offers precise control over nutrient composition, enabling detailed studies of cellular metabolism. We demonstrate how self-made media formulations enable diverse assay designs and readouts to assess cancer metabolism. Self-made media can be used in Seahorse assays to measure mitochondrial respiration under defined conditions. In nutrient deprivation experiments, amino acid or vitamin removal can uncover how cancer cells adapt to metabolic stress. Using labeled amino acids enables analysis of nascent protein synthesis and translational regulation, while stable-isotope tracing reveals metabolic fluxes through key pathways. This guide presents a suite of metabolic assays using custom-made media, covering …

Acta2 Pathogenic Variants Activating Heat Shock Factor 1 And Increasing Cholesterol Biosynthesis In Smooth Muscle Cells Predispose To Early Onset Atherosclerosis, Maura L Boerio, Abhijnan Chattopadhyay, Xue-Yan Duan, Aamuktha Karla, Ernesto Calderon Martinez, Amelie Pinard, Andrew K Morse, Darshan Reddy, Sree Dharma, Walter Velasco-Torrez, Julien Marcadier, Siddharth K Prakash, Sherene Shalhub, Julie De Backer, Richmond Jeremy, Shaine A Morris, Anji T Yetman, Alan C Braverman, Dianna M Milewicz

Faculty, Staff and Student Publications

Background: ACTA2 pathogenic variants predispose to thoracic aortic disease, and a subset of variants lead to early onset atherosclerotic cardiovascular disease (ASCVD). The molecular pathway linking misfolded SMA (α-smooth muscle actin) monomers to augmented atherosclerosis-associated smooth muscle cell phenotypic modulation can be modeled in vitro by stably expressing the ACTA2 p.R149C variant in Acta2-/- smooth muscle cells.

Methods: The Montalcino Aortic Consortium patient registry was used to identify cases with ACTA2 pathogenic/likely pathogenic missense variants. These patients were surveyed, and medical records were reviewed, to identify cases with early onset ASCVD. The variants for these cases, as well as …

Quantitative Analysis Of Robustness-Based Versus Let-Based Optimization In Intensity-Modulated Proton Therapy For Pediatric Brain Tumors, Fariha Kabir Torsha, Gino Lim, Hadis Moazami Goudarzi, Radhe Mohan, David Grosshans, Wenhua Cao

Faculty, Staff and Student Publications

Purpose: To perform a quantitative analysis of the trade-off between robustness-based and linear energy transfer (LET)-based optimization of intensity-modulated proton therapy for anatomically challenging pediatric brain tumor cases.

Methods: Three pediatric brain tumor patients were included in this study. Three plans were generated for each case based on: (1) nominal optimization, without considering uncertainties and LET; (2) robust optimization, including proton range and patient setup uncertainties; and (3) LET optimization, considering increasing LET in the target and reducing LET in normal tissues. All plans were optimized with individually fine-tuned objective weighing to obtain highest achievable target coverage and meet dose …

Convolutional Neural Networks For Automatic Tuber Segmentation And Quantification Of Tuber Burden In Tuberous Sclerosis Complex, Iván Sánchez Fernández, Matheus D Soldatelli, Gillian N Miller, Catharina F Gout, Ellen C Broekhuizen, Iris C J Den Hertog, Daan A Pijs, Errol Apostolopoulos, Prabhjot Kaur, Abdelhakim Ouaalam, Martina E Bebin, Hope Northrup, Darcy A Krueger, Joyce Y Wu, Alexander L Cohen, Mustafa Sahin, Davood Karimi, Simon K Warfield, Jurriaan M Peters

Faculty, Staff and Student Publications

Objective: This study was undertaken to develop a fully automated algorithm for tuber segmentation and quantification of tuber volume that performs similarly to the gold standard human neuroradiologist.

Methods: We used brain magnetic resonance imaging (MRI) from patients with tuberous sclerosis complex (TSC) to train and validate a convolutional neural network (CNN), which was evaluated on segmentation with the Dice-Sørensen similarity coefficient (DSSC) and on tuber burden quantification with Spearman correlation coefficient against a neuroradiologist's gold standard in the test set.

Results: We collected 263 MRIs from 196 patients (57% males) with median (25th percentile-75th percentile) age of 4.3 (3.0-10.1) …

Presenilin L166p Mutation, A Model Of Familial Alzheimer's Disease, Leads To Early Onset Bone Loss, Vidyani Suryadevara, Connor J Krehbial, Anuradha K Valiya, Melinda Vang, Julian Balanta-Melo, Pierre P Eleniste, Sumana Posritong, Jung Min Hong, Katie Chester, Gabriel M Pagnotti, Teresita Bellido, Monte S Willis, Angela Bruzzaniti

Faculty, Staff and Student Publications

Accelerated bone loss has been reported in the early stages of Alzheimer's disease (AD) as indicated by reduced bone mineral density and increased fracture risk in these patients, compared to healthy individuals. In the present study, we investigated bone loss in mouse models of familial Alzheimer's disease harboring the Presenilin 1 (L166P) knock-in mutation (PSEN1 KI), with or without the human amyloid precursor protein transgene (hAPP Tg+) known to induce brain amyloid pathology by 6 months. Female and not male 12-month PSEN1/hAPP Tg+ mice exhibited reduced whole-body bone mineral density and bone mineral content, compared to sex-matched controls. Consistent with …

Retrospective Analysis Of Cutaneous Immune-Related Adverse Events Following Checkpoint Inhibitor Therapy In Melanoma Patients Reveals Increased Risk Associated With The Hla-B*51:01 Allele, Mckenzie Dileo, Samantha Oglesby, Cheuk Hong Leung, Kristen E Pauken, Sahira Farooq, Lauren E Haydu, Shelby L Kubicki, Rebeca Martinez, Macartney Welborn, Sana Zahiruddin, Jun Zou, Kai Cao, Anisha B Patel

Faculty, Staff and Student Publications

Background: While immune checkpoint inhibitors (ICIs) have shown significant efficacy, a common side effect is cutaneous immune-related adverse events (irAEs). This study focuses on exploring the association between specific human leukocyte antigen (HLA) alleles and the development of cutaneous irAEs in melanoma patients undergoing ICI monotherapy and combination therapy. As certain HLA types are indicative of susceptibility to autoimmune diseases, it was hypothesized that HLA typing could serve as a potential screening tool for identifying patients at increased risk for developing irAEs.

Methods: A retrospective chart review was performed of 515 patients with melanoma who underwent ICI therapy, either as …

Prism-Xqtl: Pleiotropic Relationships Integrated With System-Level Multiomic Qtl Analysis For Causal Genes And Molecular Mediators In Alzheimer’S Disease, Nitesh Enduru, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Most Alzheimer's disease (AD) risk variants identified by genome-wide association studies (GWAS) reside in noncoding regions, complicating causal interpretation.

Methods: We developed PRISM-xQTL (Pleiotropic Relationships Integrated with System-level Multiomic QTL), integrating pleiotropy, co-localization, Mendelian randomization, and mediation analyses across multiomic quantitative trait loci (QTLs; expression QTL [eQTL], methylation QTL [meQTL], splicing QTL [sQTL], proteomic [pQTL], single-cell [sc-eQTL]). Seventy pleiotropic single-nucleotide polymorphisms (SNPs) shared between AD and 11 immune disorders were analyzed. AlphaGenome assessed functional regulation, and The Alzheimer's Cell Atlas (TACA) database was used for drug-target relevance of FCER1G.

Results: Across 54 Genotype-Tissue Expression (GTEx) tissues, 410 SNP-gene-tissue co-localizations …

A Guide To Transcriptomic Deconvolution In Cancer, Yaoyi Dai, Shuai Guo, Yidan Pan, Carla Castignani, Matthew D Montierth, Peter Van Loo, Wenyi Wang

Faculty, Staff and Student Publications

Cancer tissues are heterogeneous mixtures of tumour, stromal and immune cells, where each component comprises multiple distinct cell types and/or states. Mapping this heterogeneity and understanding the unique contributions of each cell type to the tumour transcriptome is crucial for advancing cancer biology, yet high-throughput expression profiles from tumour tissues only represent combined signals from all cellular sources. Computational deconvolution of these mixed signals has emerged as a powerful approach to dissect both cellular composition and cell-type-specific expression patterns. Here, we provide a comprehensive guide to transcriptomic deconvolution, specifically tailored for cancer researchers, presenting a systematic framework for selecting and …

50k4life: A Smart Study Protocol To Improve Walking Engagement In Public School Employees On The Us-Mexico Border, Jennifer J Salinas, Susan W Buchholz, Zenong Yin, Jennifer L Gay, Jing Wang, Janani Rajbhandari-Thapa, Mark G Wilson, Erin Finley, Zuber Mulla, Elizabeth Ramirez, Deborah Parra Medina

Faculty, Staff and Student Publications

Introduction: Mexican Americans living in the U.S.-Mexico border region suffer disproportionately from preventable cardiometabolic and cancer diseases. Workplace health promotion programs that include physical activity promotion are promising strategies to address this public health problem to improve physical activity engagement. Workplace-based programs can increase moderate to vigorous physical activity (MVPA) engagement while addressing barriers associated with inactivity.

Methods: We plan to conduct a clustered Sequential Multiple Assignment Randomized Trial (SMART) to determine the effectiveness of a workplace walking challenge intervention - 50,000 for Life (50K4Life) - in improving brisk walking engagement (at least 7000 steps/day, representing approximately 50,000 steps/week) for …