Medical Genetics Commons^™

Small Variant Benchmark From A Complete Assembly Of X And Y Chromosomes, Justin Wagner, Nathan D Olson, Jennifer Mcdaniel, Lindsay Harris, Brendan J Pinto, David Jáspez, Adrián Muñoz-Barrera, Luis A Rubio-Rodríguez, José M Lorenzo-Salazar, Carlos Flores, Sayed Mohammad Ebrahim Sahraeian, Giuseppe Narzisi, Marta Byrska-Bishop, Uday S Evani, Chunlin Xiao, Juniper A Lake, Peter Fontana, Craig Greenberg, Donald Freed, Mohammed Faizal Eeman Mootor, Paul C Boutros, Lisa Murray, Kishwar Shafin, Andrew Carroll, Fritz J Sedlazeck, Melissa Wilson, Justin M Zook

Faculty, Staff and Students Publications

The sex chromosomes contain complex, important genes impacting medical phenotypes, but differ from the autosomes in their ploidy and large repetitive regions. To enable technology developers along with research and clinical laboratories to evaluate variant detection on male sex chromosomes X and Y, we create a small variant benchmark set with 111,725 variants for the Genome in a Bottle HG002 reference material. We develop an active evaluation approach to demonstrate the benchmark set reliably identifies errors in challenging genomic regions and across short and long read callsets. We show how complete assemblies can expand benchmarks to difficult regions, but highlight …

A Regularized Bayesian Dirichlet-Multinomial Regression Model For Integrating Single-Cell-Level Omics And Patient-Level Clinical Study Data, Yanghong Guo, Lei Yu, Lei Guo, Lin Xu, Qiwei Li

Faculty, Staff and Student Publications

The abundance of various cell types can vary significantly among patients with varying phenotypes and even those with the same phenotype. Recent scientific advancements provide mounting evidence that other clinical variables, such as age, gender, and lifestyle habits, can also influence the abundance of certain cell types. However, current methods for integrating single-cell-level omics data with clinical variables are inadequate. In this study, we propose a regularized Bayesian Dirichlet-multinomial regression framework to investigate the relationship between single-cell RNA sequencing data and patient-level clinical data. Additionally, the model employs a novel hierarchical tree structure to identify such relationships at different cell-type …

Causal Models And Prediction In Cell Line Perturbation Experiments, James P Long, Yumeng Yang, Shohei Shimizu, Thong Pham, Kim-Anh Do

Faculty, Staff and Student Publications

In cell line perturbation experiments, a collection of cells is perturbed with external agents and responses such as protein expression measured. Due to cost constraints, only a small fraction of all possible perturbations can be tested in vitro. This has led to the development of computational models that can predict cellular responses to perturbations in silico. A central challenge for these models is to predict the effect of new, previously untested perturbations that were not used in the training data. Here we propose causal structural equations for modeling how perturbations effect cells. From this model, we derive two estimators for …

Genetics And Biology Of Pancreatic Ductal Adenocarcinoma, Haoqiang Ying, Alec C Kimmelman, Nabeel Bardeesy, Raghu Kalluri, Anirban Maitra, Ronald A Depinho

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) poses a grim prognosis for patients. Recent multidisciplinary research efforts have provided critical insights into its genetics and tumor biology, creating the foundation for rational development of targeted and immune therapies. Here, we review the PDAC genomic landscape and the role of specific oncogenic events in tumor initiation and progression, as well as their contributions to shaping its tumor biology. We further summarize and synthesize breakthroughs in single-cell and metabolic profiling technologies that have illuminated the complex cellular composition and heterotypic interactions of the PDAC tumor microenvironment, with an emphasis on metabolic cross-talk across cancer and …

Targeted Inhibition Of Aurora Kinase A Promotes Immune Checkpoint Inhibition Efficacy In Human Papillomavirus-Driven Cancers, Soma Ghosh, Madison P O'Hara, Pragya Sinha, Tuhina Mazumdar, Lacin Yapindi, Jagannadha K Sastry, Faye M Johnson

Faculty, Staff and Student Publications

Background: Human papillomavirus (HPV)-driven cancers include head and neck squamous cell carcinoma and cervical cancer and represent approximately 5% of all cancer cases worldwide. Standard-of-care chemotherapy, radiotherapy, and immune checkpoint inhibitors (ICIs) are associated with adverse effects and limited responses in patients with HPV-driven cancers. The integration of targeted therapies with ICIs may improve outcomes. In a previous study, we demonstrated that Aurora kinase A (AURKA, Aurora A) inhibitors lead to apoptosis of human HPV-positive cancer cells in vitro and in vivo. Here, we explored the potential of Aurora A inhibition to enhance response to ICIs in immune-competent …

Development Of Sacb-Based Counterselection For Efficient Allelic Exchange In Fusobacterium Nucleatum, Peng Zhou, Bibek G C, Bo Hu, Chenggang Wu

Faculty, Staff and Student Publications

Fusobacterium nucleatum, prevalent in the oral cavity, is significantly linked to overall human health. Our molecular comprehension of its role in oral biofilm formation and its interactions with the host under various pathological circumstances has seen considerable advancements in recent years, primarily due to the development of various genetic tools for DNA manipulation in this bacterium. Of these, counterselection-based unmarked in-frame mutation methods have proved notably effective. Under suitable growth conditions, cells carrying a counterselectable gene die, enabling efficient selection of rare, defined allelic exchange mutants. The sacB gene from Bacillus subtilis, encoding levansucrase, is a widely used …

Cell Cycle Progression Of Under-Replicated Cells, Min Huang, Chang Yang, Litong Nie, Huimin Zhang, Dandan Zhu, Chao Wang, Jeong-Min Park, Mrinal Srivastava, Elina Mosa, Siting Li, Mengfan Tang, Xu Feng, Sarah J Keast, Fabio Stossi, Junjie Chen

Faculty, Staff and Student Publications

Cell cycle checkpoints are the regulatory mechanisms that secure the strict order of cellular events for cell division that ensure genome integrity. It has been proposed that mitosis initiation depends on the completion of DNA replication, which must be tightly controlled to guarantee genome duplication. Contrary to these conventional hypotheses, we showed here that cells were able to enter mitosis without completion of DNA replication. Although DNA replication was not completed in cells upon depletion of MCM2, CDC45 or GINS4, these under-replicated cells progressed into mitosis, which led to cell death. These unexpected results challenge current model and suggest the …

Cansar 2024-An Update To The Public Drug Discovery Knowledgebase, Phillip W Gingrich, Rezvan Chitsazi, Ansuman Biswas, Chunjie Jiang, Li Zhao, Joseph E Tym, Kevin M Brammer, Jun Li, Zhigang Shu, David S Maxwell, Jeffrey A Tacy, Ioan L Mica, Michael Darkoh, Patrizio Di Micco, Kaitlyn P Russell, Paul Workman, Bissan Al-Lazikani

Faculty, Staff and Student Publications

canSAR (https://cansar.ai) continues to serve as the largest publicly available platform for cancer-focused drug discovery and translational research. It integrates multidisciplinary data from disparate and otherwise siloed public data sources as well as data curated uniquely for canSAR. In addition, canSAR deploys a suite of curation and standardization tools together with AI algorithms to generate new knowledge from these integrated data to inform hypothesis generation. Here we report the latest updates to canSAR. As well as increasing available data, we provide enhancements to our algorithms to improve the offering to the user. Notably, our enhancements include a revised ligandability classifier …

Dimensionality Reduction For Visualizing Spatially Resolved Profiling Data Using Spasne, Yuansheng Zhou, Chen Tang, Xue Xiao, Xiaowei Zhan, Tao Wang, Guanghua Xiao, Lin Xu

Faculty, Staff and Student Publications

Background: Spatially resolved profiling technologies to quantify transcriptomes, epigenomes, and proteomes have been emerging as groundbreaking methods for comprehensive molecular characterizations. Dimensionality reduction and visualization is an essential step to analyze and interpret spatially resolved profiling data. However, state-of-the-art dimensionality reduction methods for single-cell sequencing data, such as the t-distributed stochastic neighbor embedding (t-SNE) and uniform manifold approximation and projection (UMAP), were not tailored for spatially resolved profiling data.

Results: Here we developed a spatially resolved t-SNE (SpaSNE) method to integrate both spatial and molecular information. We applied it to a variety of public spatially resolved profiling datasets that were …

Intrinsic Adaptive Plasticity In Mouse And Human Sensory Neurons, Lisa A Mcilvried, John Smith Del Rosario, Melanie Y Pullen, Andi Wangzhou, Tayler D Sheahan, Andrew J Shepherd, Richard A Slivicki, John A Lemen, Theodore J Price, Bryan A Copits, Robert W Gereau

Faculty, Staff and Student Publications

In response to changes in activity induced by environmental cues, neurons in the central nervous system undergo homeostatic plasticity to sustain overall network function during abrupt changes in synaptic strengths. Homeostatic plasticity involves changes in synaptic scaling and regulation of intrinsic excitability. Increases in spontaneous firing and excitability of sensory neurons are evident in some forms of chronic pain in animal models and human patients. However, whether mechanisms of homeostatic plasticity are engaged in sensory neurons of the peripheral nervous system (PNS) is unknown. Here, we show that sustained depolarization (induced by 24-h incubation in 30 mM KCl) induces compensatory …

Plural Molecular And Cellular Mechanisms Of Pore Domain, Timothy J Abreo, Emma C Thompson, Anuraag Madabushi, Kristen L Park, Heun Soh, Nissi Varghese, Carlos G Vanoye, Kristen Springer, Jim Johnson, Scotty Sims, Zhigang Ji, Ana G Chavez, Miranda J Jankovic, Bereket Habte, Aamir R Zuberi, Cathleen M Lutz, Zhao Wang, Vaishnav Krishnan, Lisa Dudler, Stephanie Einsele-Scholz, Jeffrey L Noebels, Alfred L George, Atul Maheshwari, Anastasios Tzingounis, Edward C Cooper

Faculty, Staff and Students Publications

KCNQ2 variants in children with neurodevelopmental impairment are difficult to assess due to their heterogeneity and unclear pathogenic mechanisms. We describe a child with neonatal-onset epilepsy, developmental impairment of intermediate severity, and KCNQ2 G256W heterozygosity. Analyzing prior KCNQ2 channel cryoelectron microscopy models revealed G256 as a node of an arch-shaped non-covalent bond network linking S5, the pore turret, and the ion path. Co-expression with G256W dominantly suppressed conduction by wild-type subunits in heterologous cells. Ezogabine partly reversed this suppression. Kcnq2G256W/+ mice have epilepsy leading to premature deaths. Hippocampal CA1 pyramidal cells from G256W/+ brain slices showed hyperexcitability. G256W/+ pyramidal …

Couple-Based Lifestyle Intervention For Minority Prostate Cancer Survivors: A Randomized Feasibility Trial, Dalnim Cho, Yisheng Li, Karen Basen-Engquist, Chiara Acquati, Nga T T Nguyen, Hilary Ma, Curtis A Pettaway, Lorna H Mcneill

Faculty, Staff and Student Publications

Background: Black and Hispanic prostate cancer (PCa) survivors, who face a high burden of comorbid conditions and often engage in low levels of physical activity and healthy eating, remain significantly underrepresented in lifestyle intervention studies.

Purpose: Given the significance of spousal influence, we developed a culturally tailored lifestyle intervention for these survivors and their spouses and assessed its feasibility, acceptability, and impact on behavioral change.

Methods: Survivor-spouse couples were randomly assigned to an intervention group (n = 22), which received 12 health-coaching calls over 6 months, or a usual-care control group (n = 9). Assessments were conducted at baseline (T1), …

Early Treatment Discontinuation In Patients With Deficient Mismatch Repair Or Microsatellite Instability High Metastatic Colorectal Cancer Receiving Immune Checkpoint Inhibitors, Julien Taieb, Margherita Ambrosini, Emily Alouani, Sara Lonardi, Frank A Sinicrope, Marie Decraecker, Alice Boileve, Emilie Hafliger, Thibault Mazard, Simon Pernot, Pauline Parent, Javier Ros, Michael J Overman, Priya Jayachandran, Vincenzo Nasca, Lisa Salvatore, Rosine Guimbaud, Chiara Cremolini, David Tougeron, Filippo Pietrantonio

Faculty, Staff and Student Publications

Background: Immune checkpoint inhibitors (ICIs) are recommended to treat patients with deficient mismatch repair/microsatellite instability high (dMMR/MSI-H) metastatic colorectal cancer (mCRC). Pivotal trials have fixed a maximum ICI duration of 2 years, without a compelling rationale. A shorter treatment duration has the potential to improve patients' quality of life and reduce both toxicity and cost without compromising efficacy. Here we examine whether early treatment discontinuation (ETD) before 13 months in patients without progressive disease (PD) can lead to similar long-term disease control compared with a longer treatment duration (LTD).

Methods: To assess whether ETD is associated with similar outcomes compared …

Comprehensive Characterization Of The Transcriptional Landscape In Alzheimer’S Disease (Ad) Brains, Chengxuan Chen, Zhao Zhang, Yuan Liu, Wei Hong, Hande Karahan, Jun Wang, Wenbo Li, Lixia Diao, Meichen Yu, Andrew J Saykin, Kwangsik Nho, Jungsu Kim, Leng Han

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is the leading dementia among the elderly with complex origins. Despite extensive investigation into the AD-associated protein-coding genes, the involvement of noncoding RNAs (ncRNAs) and posttranscriptional modification (PTM) in AD pathogenesis remains unclear. Here, we comprehensively characterized the landscape of ncRNAs and PTM events in 1460 samples across six brain regions sourced from the Mount Sinai/JJ Peters VA Medical Center Brain Bank Study and Mayo cohorts, encompassing 33,321 long ncRNAs, 92,897 enhancer RNAs, 53,763 alternative polyadenylation events, and 900,221 A-to-I RNA editing events. We additionally identified 25,351 aberrantly expressed ncRNAs and altered PTM events associated with AD …

Mate-Pair Sequencing Enables Identification And Delineation Of Balanced And Unbalanced Structural Variants In Prenatal Cytogenomic Diagnostics, Jicheng Qian, Huilin Wang, Hailei Liang, Yuting Zheng, Mingyang Yu, Wing Ting Tse, Angel Hoi Wan Kwan, Lo Wong, Natalie Kwun Long Wong, Isabella Yi Man Wah, So Ling Lau, Shuk Yi Annie Hui, Matthew Hoi Kin Chau, Xiaoyan Chen, Rui Zhang, Liona C Poon, Tak Yeung Leung, Pengfei Liu, Kwong Wai Choy, Zirui Dong

Faculty, Staff and Students Publications

Background: Mate-pair sequencing detects both balanced and unbalanced structural variants (SVs) and simultaneously informs in relation to both genomic location and orientation of SVs for enhanced variant classification and clinical interpretation, while chromosomal microarray analysis (CMA) only reports deletion/duplication. Herein, we evaluated its diagnostic utility in a prospective back-to-back prenatal comparative study with CMA.

Methods: From October 2021 to September 2023, 426 fetuses with ultrasound anomalies were prospectively recruited for mate-pair sequencing and CMA in parallel for prenatal genetic diagnosis. Balanced/unbalanced SVs and regions with absence of heterozygosity (AOH) were detected and classified independently, and comparisons were made between mate-pair …

Enhanced Motivated Behavior Mediated By Pharmacological Targeting Of The Fgf14/Nav16 Complex In Nucleus Accumbens Neurons, Nolan M Dvorak, Paul A Wadsworth, Guillermo Aquino-Miranda, Pingyuan Wang, Douglas S Engelke, Jingheng Zhou, Nghi Nguyen, Aditya K Singh, Giuseppe Aceto, Zahra Haghighijoo, Isabella I Smith, Nana Goode, Mingxiang Zhou, Yosef Avchalumov, Evan P Troendle, Cynthia M Tapia, Haiying Chen, Reid T Powell, Timothy J Baumgartner, Jully Singh, Leandra Koff, Jessica Di Re, Ann E Wadsworth, Mate Marosi, Marc R Azar, Kristina Elias, Paul Lehmann, Yorkiris M Mármol Contreras, Poonam Shah, Hector Gutierrez, Thomas A Green, Martin B Ulmschneider, Marcello D'Ascenzo, Clifford Stephan, Guohong Cui, Fabricio H Do Monte, Jia Zhou, Fernanda Laezza

Faculty, Staff and Student Publications

Protein/protein interactions (PPI) play crucial roles in neuronal functions. Yet, their potential as drug targets for brain disorders remains underexplored. The fibroblast growth factor 14 (FGF14)/voltage-gated Na+ channel 1.6 (Nav1.6) complex regulates excitability of medium spiny neurons (MSN) of the nucleus accumbens (NAc), a central hub of reward circuitry that controls motivated behaviors. Here, we identified compound 1028 (IUPAC: ethyl 3-(2-(3-(hydroxymethyl)-1H-indol-1-yl)acetamido)benzoate), a brain-permeable small molecule that targets FGF14R117, a critical residue located within a druggable pocket at the FGF14/Nav1.6 PPI interface. We found that 1028 modulates FGF14/Nav1.6 complex assembly and depolarizes the voltage-dependence of Nav1.6 channel inactivation with …

Dexamethasone Dose Intensity Does Not Impact Outcomes In Newly Diagnosed Multiple Myeloma: A Secondary Swog Analysis, Rahul Banerjee, Rachael Sexton, Andrew J Cowan, Aaron S Rosenberg, Sikander Ailawadhi, S Vincent Rajkumar, Shaji Kumar, Angela Dispenzieri, Sagar Lonial, Brian G M Durie, Paul G Richardson, Saad Z Usmani, Antje Hoering, Robert Z Orlowski

Faculty, Staff and Student Publications

Dexamethasone is a key component of induction for newly diagnosed multiple myeloma (NDMM), despite common toxicities, including hyperglycemia and insomnia. In the randomized ECOG E4A03 trial, dexamethasone 40 mg once weekly was associated with lower mortality than higher doses. However, the performance of dexamethasone dose reductions below this threshold with regard to progression-free survival (PFS) and overall survival (OS) in NDMM has not been fully characterized. We conducted a secondary pooled analysis of the SWOG 0777 and SWOG 1211 studies of NDMM, which used lenalidomide and dexamethasone (Rd) alone, with or without bortezomib, and with or without elotuzumab. The planned …

The Role Of Iowa Gambling Task Performance In Response To Citalopram Treatment For Cocaine Use Disorder, Constanza De Dios, Robert Suchting, Charles E Green, Heather E Webber, F Gerard Moeller, Scott D Lane, Joy Schmitz

Faculty, Staff and Student Publications

Background:

Cocaine use disorder (CUD) is associated with executive functioning impairments linked to serotonergic function. Previous studies reported efficacy with the selective serotonin reuptake inhibitor citalopram in reducing cocaine use.

Objectives:

The current study explored moderation and mediation of citalopram effects on cocaine use by performance across executive function domains.

Methods:

We conducted a secondary analysis of a double-blind, placebo-controlled, randomized Bayesian adaptive trial investigating citalopram efficacy in CUD treatment-seeking adults. At baseline and mid-treatment, participants completed assessments of decision-making (Iowa Gambling Task; IGT), attention, response inhibition, and cognitive flexibility. Outcomes were longest duration of abstinence (LDA; count of consecutive …

Nucleus-Translocated Gclm Promotes Chemoresistance In Colorectal Cancer Through A Moonlighting Function, Jin-Fei Lin, Ze-Xian Liu, Dong-Liang Chen, Ren-Ze Huang, Fen Cao, Kai Yu, Ting Li, Hai-Yu Mo, Hui Sheng, Zhi-Bing Liang, Kun Liao, Yi Han, Shan-Shan Li, Zhao-Lei Zeng, Song Gao, Huai-Qiang Ju, Rui-Hua Xu

Faculty, Staff and Student Publications

Metabolic enzymes perform moonlighting functions during tumor progression, including the modulation of chemoresistance. However, the underlying mechanisms of these functions remain elusive. Here, utilizing a metabolic clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 knockout library screen, we observe that the loss of glutamate-cysteine ligase modifier subunit (GCLM), a rate-limiting enzyme in glutathione biosynthesis, noticeably increases the sensitivity of colorectal cancer (CRC) cells to platinum-based chemotherapy. Mechanistically, we unveil a noncanonical mechanism through which nuclear GCLM competitively interacts with NF-kappa-B (NF-κB)-repressing factor (NKRF), to promote NF-κB activity and facilitate chemoresistance. In response to platinum drug treatment, GCLM is phosphorylated by P38 …

Cardiovascular Disease And Breast Cancer Stage At Diagnosi\S, Ivan Angelov, Allen M Haas, Elizabeth Brock, Lingfeng Luo, Jing Zhao, Benjamin D Smith, Sharon H Giordano, Nicholas J Leeper, Kevin T Nead

Faculty, Staff and Student Publications

Importance: Cardiovascular disease (CVD) and cancer are the leading causes of mortality in the US. Large-scale population-based and mechanistic studies support a direct effect of CVD on accelerated tumor growth and spread, specifically in breast cancer.

Objective: To assess whether individuals presenting with advanced breast cancers are more likely to have prevalent CVD compared with those with early-stage breast cancers at the time of diagnosis.

Design, setting, and participants: This population-based case-control study used data from the Surveillance, Epidemiology, and End Results-Medicare linked databases from 2009 to 2020. The analysis was completed from May 2023 to August 2024. Participants were …

Meta-Ea: A Gene-Specific Combination Of Available Computational Tools For Predicting Missense Variant Effects, Panagiotis Katsonis, Olivier Lichtarge

Faculty, Staff and Students Publications

Computational methods for estimating missense variant impact suffer from inconsistent performance across genes, which poses a major challenge for their reliable use in clinical practice. While ensemble scores leverage multiple prediction methods to enhance consistency, the overrepresentation of certain genes in the training data can bias their outcomes. To address this critical limitation, we propose a gene-specific ensemble framework trained on reference computational annotations rather than on clinical or experimental data. Accordingly, we generate Meta-EA ensemble scores that achieve comparable performance to the top individual predicting method for each gene set. Incorporating the effects of splicing and the allele frequency …

A Bayesian Deep Segmentation Framework For Glioblastoma Tumor Segmentation Using Follow-Up Mris, Tanjida Kabir, Kang-Lin Hsieh, Luis Nunez, Yu-Chun Hsu, Juan C Rodriguez Quintero, Octavio Arevalo, Kangyi Zhao, Jay-Jiguang Zhu, Roy F Riascos, Mahboubeh Madadi, Xiaoqian Jiang, Shayan Shams

Faculty, Staff and Student Publications

Background: Glioblastoma (GBM) is the most common malignant brain tumor with an abysmal prognosis. Since complete tumor cell removal is impossible due to the infiltrative nature of GBM, accurate measurement is paramount for GBM assessment. Preoperative magnetic resonance images (MRIs) are crucial for initial diagnosis and surgical planning, while follow-up MRIs are vital for evaluating treatment response. The structural changes in the brain caused by surgical and therapeutic measures create significant differences between preoperative and follow-up MRIs. In clinical research, advanced deep learning models trained on preoperative MRIs are often applied to assess follow-up scans, but their effectiveness in this …

Implementing A Chatbot To Promote Hereditary Breast & Ovarian Cancer Genetic Screening In Women's Health: Identifying Barriers And Facilitators To Screening Adoption, Easton N. Wollney, Shireen Madani Sims, Luisel J. Ricks-Santi, Elizabeth Eddy, Daniel Wiesman, Carla L. Fisher

Department of Biomedical and Translational Sciences Faculty Publications

Background

To promote genetic screening among women at risk for hereditary breast and ovarian cancer (HBOC), the American College of Obstetricians and Gynecologists recommends that risk assessment be integrated into practice. Chatbots like the Genetic Information Assistant (Gia®) are increasingly implemented to expand access to hereditary genetic screening. Factors that impact chatbot implementation for HBOC risk screening and women's uptake are not fully realized. To refine implementation strategies prior to full scale implementation, we sought to identify women's perceived facilitators/barriers to adopting Gia screening in a rural population within a large healthcare system in the southern United States.

Methods

We …

Deep Brain Stimulation For Childhood Treatment-Resistant Obsessive-Compulsive Disorder: Mental Health Clinician Views On Candidacy Factors, Ilona Cenolli, Tiffany A Campbell, Natalie Dorfman, Meghan Hurley, Jared N Smith, Kristin Kostick-Quenet, Eric A Storch, Jennifer Blumenthal-Barby, Gabriel Lázaro-Muñoz

Center for Medical Ethics and Health Policy Staff Publications

Introduction: Deep brain stimulation (DBS) is approved under a humanitarian device exemption to manage treatment-resistant obsessive-compulsive disorder (TR-OCD) in adults. It is possible that DBS may be trialed or used clinically off-label in children and adolescents with TR-OCD in the future. DBS is already used to manage treatment-resistant childhood dystonia. Evidence suggests it is a safe and effective intervention for certain types of dystonia. Important questions remain unanswered about the use of DBS in children and adolescents with TR-OCD, including whether mental health clinicians would refer pediatric patients for DBS, and who would be a good candidate for DBS.

Objectives: …

A Hybrid Cloud Data Lake Architecture Supporting The Integration Of Clinical And Genomics Data, Apollo Mcowiti, Heidi Dowst, Fei Zheng, Susan Hilsenbeck, Christopher Amos

Center for Medical Ethics and Health Policy Staff Publications

Objective: Cancer centers must quickly integrate clinical genomics data from different vendors for oncology operations and research. Clinical data warehouse architectures are costly to construct and brittle, and they are not readily amenable to the rapid changes in oncology research. We introduce a cost-effective hybrid cloud Data Lake architecture for storing clinical genomic data from different vendors, aiding both clinical and research workflows.

Methods: We created a Data Lake architecture based on the zone architecture, with four layers: ingestion, storage, transformation, and interaction. The layers are implemented with a hybrid cloud architecture. Rich metadata created from patient and genomic data …

A Landscape Analysis Of Psychedelic Retreat Organizations Advertising Online, Logan Neitzke-Spruill, Caroline S Beit, Jill Oliver Robinson, Nikita Singh, Srijith Kambala, Rishi Ramesh, Amy L Mcguire

Center for Medical Ethics and Health Policy Staff Publications

Research into psychedelics' clinical potential has corresponded to a growth in public interest and adult use. One common pathway to accessing psychedelics is through psychedelic retreats. While individual retreats have been characterized in the anthropological literature, no systematic evaluation of the psychedelic retreat industry exists. Assessing the characteristics of the psychedelic retreat industry is critical to understanding the associated ethical, legal, and social implications and ensuring consumer safety. To this end, we conducted a landscape analysis of online, publicly available information to capture and characterize a broad range of organizations offering psychedelic retreats and marketing to English-speaking consumers. From July …

A Serum Biomarker Panel And Miniarray Detection System For Tracking Disease Activity And Flare Risk In Lupus Nephritis, Chenling Tang, Gongjun Tan, Aygun Teymur, Jiechang Guo, Arturo Haces-Garcia, Weihang Zhu, Richard Williams, Jing Ning, Ramesh Saxena, Tianfu Wu

Faculty, Staff and Student Publications

Introduction: Lupus nephritis (LN) leads to end stage renal disease (ESRD), and early diagnosis and disease monitoring of LN could significantly reduce the risk. however, there is not such a system clinically. In this study we aim to develop a biomarker-panel based point-of-care system for LN.

Methods: Immunoassay screening combined with genomic expression databases and machine learning techniques was used to identify a biomarker panel of LN. A quantitative biomarker-panel mini-array (BPMA) system was developed and the sensitivity, specificity, reproducibility, and stability of the were examined. The performance of BPMA in disease monitoring was validated with machine models using a …

Effect Of Digital Health Coaching On Self-Efficacy And Patient-Reported Outcomes In Individuals With Acute Myeloid And Chronic Lymphocytic Leukemia: A Pilot Randomized Controlled Trial, Jennifer Marvin-Peek, Valerie Shelton, Kelly Brassil, Bryan Fellman, Austin Barr, Kelly Sharon Chien, Danielle Hammond, Mahesh Swaminathan, Nitin Jain, William Wierda, Alessandra Ferrajoli, Courtney Dinardo

Faculty, Staff and Student Publications

Introduction: Promotion of self-efficacy can enhance engagement with health care and treatment adherence in patients with cancer. We report the outcomes of a pilot trial of a digital health coach intervention in patients with leukemia with the aim of improving self-efficacy.

Methods: Adult patients with newly diagnosed acute myeloid leukemia (AML) and chronic lymphocytic leukemia (CLL) were randomized 1:1 to a digital health coach intervention or standard of care. The primary outcome of self-efficacy was measured by the Cancer Behavior Inventory (CBI) score.

Results: A total of 147 patients (37 AML, 110 CLL) were enrolled from July 2020 to December …

Drosophila Models Uncover Substrate Channeling Effects On Phospholipids And Sphingolipids In Peroxisomal Biogenesis Disorders, Michael F Wangler, Yu-Hsin Chao, Mary Roth, Ruth Welti, James A Mcnew

Duncan NRI Faculty and Staff Publications

Peroxisomal Biogenesis Disorders Zellweger Spectrum (PBD-ZSD) disorders are a group of autosomal recessive defects in peroxisome formation that produce a multi-systemic disease presenting at birth or in childhood. Well documented clinical biomarkers such as elevated very long chain fatty acids (VLCFA) are key biochemical diagnostic findings in these conditions. Additional, secondary biochemical alterations such as elevated very long chain lysophosphatidylcholines are allowing newborn screening for peroxisomal disease. In addition, a more widespread impact on metabolism and lipids is increasingly being documented by metabolomic and lipidomic studies. Here we utilize Drosophila models of pex2 and pex16 as well as human plasma …

Recurrent Carotid Paragangliomas In A Syndromic Patient With A Heterozygous Missense Variant In Dna Methyltransferase 3 Alpha, Ryan J German, Blake Vuocolo, Liesbeth Vossaert, Lisa Saba, Robin Fletcher, Matthew L Tedder, Bekim Sadikovic, Jennifer Kerkhof, Michael Wangler, Carlos A Bacino

Duncan NRI Faculty and Staff Publications

We report a 40-year-old African American female with a novel variant in exon 8 of DNA methyltransferase 3 alpha (DNMT3A), (NM_022552.4: c.905G>C, p.G302A) who presented with a history of recurrent carotid paragangliomas, mediastinal mass, intellectual disability, dysarthria, cholelithiasis, diabetes mellitus, hypertension, and dysmorphic features. We interpret this novel variant as likely pathogenic and causative for the patient's syndromic features of Heyn-Sproul-Jackson syndrome. Heyn-Sproul-Jackson syndrome is a condition caused by gain-of-function genetic changes in DNMT3A. Paragangliomas have also been observed in non-syndromic patients with genetic alterations in DNMT3A. We describe a patient with clinical features of Heyn-Sproul-Jackson syndrome such as …