Digital Commons Network^™

Igwas: Image-Based Genome-Wide Association Of Self-Supervised Deep Phenotyping Of Retina Fundus Images, Ziqian Xie, Tao Zhang, Sangbae Kim, Jiaxiong Lu, Wanheng Zhang, Cheng-Hui Lin, Man-Ru Wu, Alexander Davis, Roomasa Channa, Luca Giancardo, Han Chen, Sui Wang, Rui Chen, Degui Zhi

Faculty, Staff and Student Publications

Existing imaging genetics studies have been mostly limited in scope by using imaging-derived phenotypes defined by human experts. Here, leveraging new breakthroughs in self-supervised deep representation learning, we propose a new approach, image-based genome-wide association study (iGWAS), for identifying genetic factors associated with phenotypes discovered from medical images using contrastive learning. Using retinal fundus photos, our model extracts a 128-dimensional vector representing features of the retina as phenotypes. After training the model on 40,000 images from the EyePACS dataset, we generated phenotypes from 130,329 images of 65,629 British White participants in the UK Biobank. We conducted GWAS on these phenotypes …

Public Attitudes, Interests, And Concerns Regarding Polygenic Embryo Screening, Rémy A Furrer, Dorit Barlevy, Stacey Pereira, Shai Carmi, Todd Lencz, Gabriel Lázaro-Muñoz

Center for Medical Ethics and Health Policy Staff Publications

Importance: Polygenic embryo screening (PES) is a novel technology that estimates the likelihood of developing future conditions (eg, diabetes or depression) and traits (eg, height or cognitive ability) in human embryos, with the goal of selecting which embryos to use. Given its commercial availability and concerns raised by researchers, clinicians, bioethicists, and professional organizations, it is essential to inform key stakeholders and relevant policymakers about the public's perspectives on this technology.

Objective: To survey US adults to examine general attitudes, interests, and concerns regarding PES use.

Design, setting, and participants: For this survey study, data were collected from 1 stratified …

Family Accommodation In Children And Adolescents With Misophonia, Eric A Storch, Andrew G Guzick, Johann D'Souza, Jane Clinger, Daphne Ayton, Minjee Kook, Conor Rork, Eleanor E Smith, Isabel A Draper, Nasim Khalfe, Catherine E Rast, Nicholas Murphy, Marijn Lijfijjt, Wayne K Goodman, Matti Cervin

Center for Medical Ethics and Health Policy Staff Publications

Family accommodation (e.g., reassurance, modifying routines, assisting avoidance) has not been explored among youth with misophonia but may have important clinical and intervention implications. We examined family accommodation in 102 children and adolescents with interview-confirmed misophonia and compared its frequency and content to family accommodation in 95 children and adolescents with anxiety disorders. Findings showed that family accommodation was ubiquitous in pediatric misophonia and may be even more frequent than in youth with anxiety disorders. Assisting the child, participating in misophonia-related behaviors, and modifying family routines were endorsed by more than 70% of parents of children with misophonia. Further, compared …

Enhanced Resolution Profiling In Twins Reveals Differential Methylation Signatures Of Type 2 Diabetes With Links To Its Complications., Colette Christiansen, Louis Potier, Tiphaine C. Martin, Sergio Villicaña, Juan E. Castillo-Fernandez, Massimo Mangino, Cristina Menni, Pei-Chien Tsai, Purdey J. Campbell, Shelby Mullin, Juan R. Ordoñana, Olga Monteagudo, Perminder S. Sachdev, Karen A. Mather, Julian N. Trollor, Kirsi H. Pietilainen, Miina Ollikainen, Christine Dalgård, Kirsten Kyvik, Kaare Christensen, Jenny Van Dongen, Gonneke Willemsen, Dorret I. Boomsma, Patrik K E Magnusson, Nancy L. Pedersen, Scott G. Wilson, Elin Grundberg, Tim D. Spector, Jordana T. Bell

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Type 2 diabetes (T2D) susceptibility is influenced by genetic and environmental factors. Previous findings suggest DNA methylation as a potential mechanism in T2D pathogenesis and progression.

METHODS: We profiled DNA methylation in 248 blood samples from participants of European ancestry from 7 twin cohorts using a methylation sequencing platform targeting regulatory genomic regions encompassing 2,048,698 CpG sites.

FINDINGS: We find and replicate 3 previously unreported T2D differentially methylated CpG positions (T2D-DMPs) at FDR 5% in RGL3, NGB and OTX2, and 20 signals at FDR 25%, of which 14 replicated. Integrating genetic variation and T2D-discordant monozygotic twin analyses, we identify …

Foundation Models, Generative Ai, And Large Language Models: Essentials For Nursing, Angela Ross, Kathleen Mcgrow, Degui Zhi, Laila Rasmy

Faculty, Staff and Student Publications

We are in a booming era of artificial intelligence, particularly with the increased availability of technologies that can help generate content, such as ChatGPT. Healthcare institutions are discussing or have started utilizing these innovative technologies within their workflow. Major electronic health record vendors have begun to leverage large language models to process and analyze vast amounts of clinical natural language text, performing a wide range of tasks in healthcare settings to help alleviate clinicians' burden. Although such technologies can be helpful in applications such as patient education, drafting responses to patient questions and emails, medical record summarization, and medical research …

Montelukast As A Repurposable Additive Drug For Standard-Efficacy Multiple Sclerosis Treatment: Emulating Clinical Trials With Retrospective Administrative Health Claims Data, Astrid M Manuel, Assaf Gottlieb, Leorah Freeman, Zhongming Zhao

Faculty, Staff and Student Publications

BACKGROUND: Effective and safe treatment options for multiple sclerosis (MS) are still needed. Montelukast, a leukotriene receptor antagonist (LTRA) currently indicated for asthma or allergic rhinitis, may provide an additional therapeutic approach.

OBJECTIVE: The study aimed to evaluate the effects of montelukast on the relapses of people with MS (pwMS).

METHODS: In this retrospective case-control study, two independent longitudinal claims datasets were used to emulate randomized clinical trials (RCTs). We identified pwMS aged 18-65 years, on MS disease-modifying therapies concomitantly, in de-identified claims from Optum's Clinformatics

RESULTS: pwMS treated with montelukast demonstrated a statistically significant 23.6% reduction in relapses compared …

Mapping Genotypes To Chromatin Accessibility Profiles In Single Cells, Franco Izzo, Robert M Myers, Saravanan Ganesan, Levan Mekerishvili, Sanjay Kottapalli, Tamara Prieto, Elliot O Eton, Theo Botella, Andrew J Dunbar, Robert L Bowman, Jesus Sotelo, Catherine Potenski, Eleni P Mimitou, Maximilian Stahl, Sebastian El Ghaity-Beckley, Joann Arandela, Ramya Raviram, Daniel C Choi, Ronald Hoffman, Ronan Chaligné, Omar Abdel-Wahab, Peter Smibert, Irene M Ghobrial, Joseph M Scandura, Bridget Marcellino, Ross L Levine, Dan A Landau

Faculty, Staff and Student Publications

In somatic tissue differentiation, chromatin accessibility changes govern priming and precursor commitment towards cellular fates1-3. Therefore, somatic mutations are likely to alter chromatin accessibility patterns, as they disrupt differentiation topologies leading to abnormal clonal outgrowth. However, defining the impact of somatic mutations on the epigenome in human samples is challenging due to admixed mutated and wild-type cells. Here, to chart how somatic mutations disrupt epigenetic landscapes in human clonal outgrowths, we developed genotyping of targeted loci with single-cell chromatin accessibility (GoT-ChA). This high-throughput platform links genotypes to chromatin accessibility at single-cell resolution across thousands of cells within a single assay. …

Automated, High-Throughput Platform To Generate A High-Reliability, Comprehensive Rectal Cancer Database, Neal Bhutiani, Mahmoud M G Yousef, Abdelrahman Yousef, Mohammad Zeineddine, Mark Knafl, Olivia Ratliff, Uditha P Fernando, Anastasia Turin, Fadl A Zeineddine, Jeff Jin, Kristin Alfaro-Munoz, Drew Goldstein, George J Chang, Scott Kopetz, John Paul Shen, Abhineet Uppal

Faculty, Staff and Student Publications

Purpose: Dynamic operations platforms allow for cross-platform data extraction, integration, and analysis, although application of these platforms to large-scale oncology enterprises has not been described. This study presents a pipeline for automated, high-fidelity extraction, integration, and validation of cross-platform oncology data in patients undergoing treatment for rectal cancer at a single, high-volume institution.

Methods: A dynamic operations platform was used to identify patients with rectal cancer treated at MD Anderson Cancer Center between 2016 and 2022 who had magnetic resonance imaging (MRI) imaging and preoperative treatment details available in the electronic health record (EHR). Demographic, clinicopathologic, tumor mutation, radiographic, and …

Genomic Landscape Of Lynch Syndrome Colorectal Neoplasia Identifies Shared Mutated Neoantigens For Immunoprevention, Ana M Bolivar, Fahriye Duzagac, Nan Deng, Laura Reyes-Uribe, Kyle Chang, Wenhui Wu, Charles M Bowen, Melissa W Taggart, Selvi Thirumurthi, Patrick M Lynch, Y Nancy You, Jesus Rodriguez-Pascual, Steven M Lipkin, Scott Kopetz, Paul Scheet, Gregory A Lizee, Alexandre Reuben, Krishna M Sinha, Eduardo Vilar

Faculty, Staff and Student Publications

Background & aims: Lynch syndrome (LS) carriers develop mismatch repair-deficient neoplasia with high neoantigen (neoAg) rates. No detailed information on targetable neoAgs from LS precancers exists, which is crucial for vaccine development and immune-interception strategies. We report a focused somatic mutation and frameshift-neoAg landscape of microsatellite loci from colorectal polyps without malignant potential (PWOMP), precancers, and early-stage cancers in LS carriers.

Methods: We generated paired whole-exome and transcriptomic sequencing data from 8 colorectal PWOMP, 41 precancers, 8 advanced precancers, and 12 early-stage cancers of 43 LS carriers. A computational pipeline was developed to predict, rank, and prioritize the top 100 …

The Evidence Is Mounting: Insurance Coverage Disruptions Lead To Worse Outcomes Among Children Diagnosed With Cancer, Philip J Lupo, Christina L Magyar

Faculty, Staff and Students Publications

No abstract provided.

Dronedarone For The Treatment Of Atrial Arrhythmias In Adults With Congenital Heart Disease, Mahdi S Agha, Peter R Ermis, Wayne J Franklin, Dhaval R Parekh, Angeline D Opina, Jeffrey J Kim, Christina Y Miyake, Santiago O Valdes, Wilson W Lam

The Texas Heart Institute Journal

Background: Atrial tachyarrhythmias are common and difficult to treat in adults with congenital heart disease. Dronedarone has proven effective in patients without congenital heart disease, but data are limited about its use in adults with congenital heart disease of moderate to great complexity.

Methods: A single-center, retrospective chart review of 21 adults with congenital heart disease of moderate to great complexity who were treated with dronedarone for atrial tachyarrhythmias was performed.

Results: The median (IQR) age at dronedarone initiation was 35 (27.5-39) years. Eleven patients (52%) were male. Ten patients (48%) had New York Heart Association class I disease, 10 …

Dronedarone For The Treatment Of Atrial Arrhythmias In Adults With Congenital Heart Disease, Mahdi S Agha, Peter R Ermis, Wayne J Franklin, Dhaval R Parekh, Angeline D Opina, Jeffrey J Kim, Christina Y Miyake, Santiago O Valdes, Wilson W Lam

The Texas Heart Institute Journal

BACKGROUND: Atrial tachyarrhythmias are common and difficult to treat in adults with congenital heart disease. Dronedarone has proven effective in patients without congenital heart disease, but data are limited about its use in adults with congenital heart disease of moderate to great complexity.

METHODS: A single-center, retrospective chart review of 21 adults with congenital heart disease of moderate to great complexity who were treated with dronedarone for atrial tachyarrhythmias was performed.

RESULTS: The median (IQR) age at dronedarone initiation was 35 (27.5-39) years. Eleven patients (52%) were male. Ten patients (48%) had New York Heart Association class I disease, 10 …

Decorin Suppresses Tumor Lymphangiogenesis: A Mechanism To Curtail Cancer Progression, Dipon K. Mondal, Christopher Xie, Gabriel J. Pascal, Simone Buraschi, Renato V. Iozzo

Kimmel Cancer Center Faculty Papers

The complex interplay between malignant cells and the cellular and molecular components of the tumor stroma is a key aspect of cancer growth and development. These tumor-host interactions are often affected by soluble bioactive molecules such as proteoglycans. Decorin, an archetypical small leucine-rich proteoglycan primarily expressed by stromal cells, affects cancer growth in its soluble form by interacting with several receptor tyrosine kinases (RTK). Overall, decorin leads to a context-dependent and protracted cessation of oncogenic RTK activity by attenuating their ability to drive a prosurvival program and to sustain a proangiogenic network. Through an unbiased transcriptomic analysis using deep RNAseq, …

Differentiating Epileptic And Psychogenic Non-Epileptic Seizures Using Machine Learning Analysis Of Eeg Plot Images, Steven Fussner, Aidan Boyne, Albert Han, Lauren A Nakhleh, Zulfi Haneef

Faculty, Staff and Students Publications

The treatment of epilepsy, the second most common chronic neurological disorder, is often complicated by the failure of patients to respond to medication. Treatment failure with anti-seizure medications is often due to the presence of non-epileptic seizures. Distinguishing non-epileptic from epileptic seizures requires an expensive and time-consuming analysis of electroencephalograms (EEGs) recorded in an epilepsy monitoring unit. Machine learning algorithms have been used to detect seizures from EEG, typically using EEG waveform analysis. We employed an alternative approach, using a convolutional neural network (CNN) with transfer learning using MobileNetV2 to emulate the real-world visual analysis of EEG images by epileptologists. …

Critical Assessment Of Variant Prioritization Methods For Rare Disease Diagnosis Within The Rare Genomes Project, Sarah L Stenton, Melanie C O'Leary, Gabrielle Lemire, Grace E Vannoy, Stephanie Ditroia, Vijay S Ganesh, Emily Groopman, Emily O'Heir, Brian Mangilog, Ikeoluwa Osei-Owusu, Lynn S Pais, Jillian Serrano, Moriel Singer-Berk, Ben Weisburd, Michael W Wilson, Christina Austin-Tse, Marwa Abdelhakim, Azza Althagafi, Giulia Babbi, Riccardo Bellazzi, Samuele Bovo, Maria Giulia Carta, Rita Casadio, Pieter-Jan Coenen, Federica De Paoli, Matteo Floris, Manavalan Gajapathy, Robert Hoehndorf, Julius O B Jacobsen, Thomas Joseph, Akash Kamandula, Panagiotis Katsonis, Cyrielle Kint, Olivier Lichtarge, Ivan Limongelli, Yulan Lu, Paolo Magni, Tarun Karthik Kumar Mamidi, Pier Luigi Martelli, Marta Mulargia, Giovanna Nicora, Keith Nykamp, Vikas Pejaver, Yisu Peng, Thi Hong Cam Pham, Maurizio S Podda, Aditya Rao, Ettore Rizzo, Vangala G Saipradeep, Castrense Savojardo, Peter Schols, Yang Shen, Naveen Sivadasan, Damian Smedley, Dorian Soru, Rajgopal Srinivasan, Yuanfei Sun, Uma Sunderam, Wuwei Tan, Naina Tiwari, Xiao Wang, Yaqiong Wang, Amanda Williams, Elizabeth A Worthey, Rujie Yin, Yuning You, Daniel Zeiberg, Susanna Zucca, Constantina Bakolitsa, Steven E Brenner, Stephanie M Fullerton, Predrag Radivojac, Heidi L Rehm, Anne O'Donnell-Luria

Faculty, Staff and Students Publications

BACKGROUND: A major obstacle faced by families with rare diseases is obtaining a genetic diagnosis. The average "diagnostic odyssey" lasts over five years and causal variants are identified in under 50%, even when capturing variants genome-wide. To aid in the interpretation and prioritization of the vast number of variants detected, computational methods are proliferating. Knowing which tools are most effective remains unclear. To evaluate the performance of computational methods, and to encourage innovation in method development, we designed a Critical Assessment of Genome Interpretation (CAGI) community challenge to place variant prioritization models head-to-head in a real-life clinical diagnostic setting.

METHODS: …

Comprehensive Analysis Of Bulk And Single-Cell Transcriptomic Data Reveals A Novel Signature Associated With Endoplasmic Reticulum Stress, Lipid Metabolism, And Liver Metastasis In Pancreatic Cancer, Xiaohong Liu, Bo Ren, Yuan Fang, Jie Ren, Xing Wang, Minzhi Gu, Feihan Zhou, Ruiling Xiao, Xiyuan Luo, Lei You, Yupei Zhao

Faculty, Staff and Student Publications

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with high probability of recurrence and distant metastasis. Liver metastasis is the predominant metastatic mode developed in most pancreatic cancer cases, which seriously affects the overall survival rate of patients. Abnormally activated endoplasmic reticulum stress and lipid metabolism reprogramming are closely related to tumor growth and metastasis. This study aims to construct a prognostic model based on endoplasmic reticulum stress and lipid metabolism for pancreatic cancer, and further explore its correlation with tumor immunity and the possibility of immunotherapy.

METHODS: Transcriptomic and clinical data are acquired from TCGA, ICGC, and GEO …

Examining The Effect Of Genes On Depression As Mediated By Smoking And Modified By Sex, Kirsten Voorhies, Julian Hecker, Sanghun Lee, Georg Hahn, Dmitry Prokopenko, Merry-Lynn Mcdonald, Alexander C Wu, Ann Wu, John E Hokanson, Michael H Cho, Christoph Lange, Karin F Hoth, Sharon M Lutz

Faculty, Staff and Student Publications

Depression is heritable, differs by sex, and has environmental risk factors such as cigarette smoking. However, the effect of single nucleotide polymorphisms (SNPs) on depression through cigarette smoking and the role of sex is unclear. In order to examine the association of SNPs with depression and smoking in the UK Biobank with replication in the COPDGene study, we used counterfactual-based mediation analysis to test the indirect or mediated effect of SNPs on broad depression through the log of pack-years of cigarette smoking, adjusting for age, sex, current smoking status, and genetic ancestry (via principal components). In secondary analyses, we adjusted …

Multi-Institution Single Geometry Plan Complexity Characteristics Based On Iroc Phantoms, Vimal Desai, Zacariah Labby, Wesley Culberson, Larry Dewerd, Stephen Kry

Department of Radiation Oncology Faculty Papers

BACKGROUND: Clinical intensity modulated radiation therapy plans have been described using various complexity metrics to help identify problematic radiotherapy plans. Most previous studies related to the quantification of plan complexity and their utility have relied on institution-specific plans which can be highly variable depending on the machines, planning techniques, delivery modalities, and measurement devices used. In this work, 1723 plans treating one of only four standardized geometries were simultaneously analyzed to investigate how radiation plan complexity metrics vary across four different sets of common objectives.

PURPOSE: To assess the treatment plan complexity characteristics of plans developed for Imaging and Radiation …

Using Functional Principal Component Analysis (Fpca) To Quantify Sitting Patterns Derived From Wearable Sensors., Rong W. Zablocki, Sheri J. Hartman, Chongzhi Di, Jingjing Zou, Jordan A. Carlson, Paul R. Hibbing, Dori E. Rosenberg, Mikael Anne Greenwood-Hickman, Lindsay Dillon, Andrea Z. Lacroix, Loki Natarajan

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers in SB research. The former measures body movement and the latter measures body posture. The goal of the current study is to quantify the pattern and variation of movement (by ActiGraph activity counts) during activPAL-identified sitting events, and examine associations between patterns and health-related outcomes, such as systolic and diastolic blood pressure (SBP and DBP).

METHODS: The current study included 314 overweight postmenopausal women, who were instructed to wear an activPAL (at thigh) and ActiGraph (at waist) simultaneously …

The Application Of Antimicrobial Stewardship Knowledge To Nursing Practice: A National Survey Of United Kingdom Pre‐Registration Nursing Students, Molly Courtenay, Clare Hawker, Rose Gallagher, Enrique Castro‐Sanchez, Dinah J. Gould, Faten Al Salti, Jennifer Bate, Daniel Cooper, Rebecca Cooper, Rebecca Craig, Rebecca Dickinson, Debbie Fallon, Sharon Mcleod, Kate Morrow, Valerie Ness, Andrew Nichols, Sarah O'Reilly, Sarah Partington, J. Claire Sevenoaks, Matthew Sunter, Jane Turner, Liz W. Underhill, Sarah L. Weaver

School of Nursing and Midwifery

AimTo assess student nurses understanding and skills in the application of antimicrobial stewardship knowledge to practice.DesignQuantitative.MethodsCross-sectional survey.ResultsFive hundred and twenty three student nurses responded across 23 UK universities. Although students felt prepared in competencies in infection prevention and control, patient-centred care and interprofessional collaborative practice, they felt less prepared in competencies in which microbiological knowledge, prescribing and its effect on antimicrobial stewardship is required. Problem-based learning, activities in the clinical setting and face-to-face teaching were identified as the preferred modes of education delivery. Those who had shared antimicrobial stewardship teaching with students from other professions reported the benefits to include …

An Update On Implant-Associated Malignancies And Their Biocompatibility, Grace C Keane Tahmaseb, Alexandra M Keane, Jose A Foppiani, Terence M Myckatyn

2020-Current year OA Pubs

Implanted medical devices are widely used across various medical specialties for numerous applications, ranging from cardiovascular supports to orthopedic prostheses and cosmetic enhancements. However, recent observations have raised concerns about the potential of these implants to induce malignancies in the tissues surrounding them. There have been several case reports documenting the occurrence of cancers adjacent to these devices, prompting a closer examination of their safety. This review delves into the epidemiology, clinical presentations, pathological findings, and hypothesized mechanisms of carcinogenesis related to implanted devices. It also explores how the surgical domain and the intrinsic properties and biocompatibility of the implants …

N-Glycoproteomic Analyses Of Human Intestinal Enteroids, Varying In Histo-Blood Group Geno- And Phenotypes, Reveal A Wide Repertoire Of Fucosylated Glycoproteins, Jonas Nilsson, Inga Rimkute, Carina Sihlbom, Victoria R Tenge, Shih-Ching Lin, Robert L Atmar, Mary K Estes, Göran Larson

Faculty, Staff and Students Publications

Human noroviruses, globally the main cause of viral gastroenteritis, show strain specific affinity for histo-blood group antigens (HBGA) and can successfully be propagated ex vivo in human intestinal enteroids (HIEs). HIEs established from jejunal stem cells of individuals with different ABO, Lewis and secretor geno- and phenotypes, show varying susceptibility to such infections. Using bottom-up glycoproteomic approaches we have defined and compared the N-linked glycans of glycoproteins of seven jejunal HIEs. Membrane proteins were extracted, trypsin digested, and glycopeptides enriched by hydrophilic interaction liquid chromatography and analyzed by nanoLC-MS/MS. The Byonic software was used for glycopeptide identification followed by hands-on …

The Swi/Snf Atp-Dependent Chromatin Remodeling Complex In Cell Lineage Priming And Early Development, Dhurjhoti Saha, Srinivas Animireddy, Blaine Bartholomew

Faculty, Staff and Student Publications

ATP dependent chromatin remodelers have pivotal roles in transcription, DNA replication and repair, and maintaining genome integrity. SWI/SNF remodelers were first discovered in yeast genetic screens for factors involved in mating type switching or for using alternative energy sources therefore termed SWI/SNF complex (short for SWItch/Sucrose NonFermentable). The SWI/SNF complexes utilize energy from ATP hydrolysis to disrupt histone-DNA interactions and shift, eject, or reposition nucleosomes making the underlying DNA more accessible to specific transcription factors and other regulatory proteins. In development, SWI/SNF orchestrates the precise activation and repression of genes at different stages, safe guards the formation of specific cell …

Large-Scale Annotated Dataset For Cochlear Hair Cell Detection And Classification., Christopher J Buswinka, David B Rosenberg, Rubina G Simikyan, Richard T Osgood, Katharine Fernandez, Hidetomi Nitta, Yushi Hayashi, Leslie W Liberman, Emily Nguyen, Erdem Yildiz, Jinkyung Kim, Amandine Jarysta, Justine Renauld, Ella Wesson, Haobing Wang, Punam Thapa, Pierrick Bordiga, Noah Mcmurtry, Juan Llamas, Siân R Kitcher, Ana I López-Porras, Runjia Cui, Ghazaleh Behnammanesh, Jonathan E Bird, Angela Ballesteros, A Catalina Vélez-Ortega, Albert S B Edge, Michael R Deans, Ksenia Gnedeva, Brikha R Shrestha, Uri Manor, Bo Zhao, Anthony J Ricci, Basile Tarchini, Martín L Basch, Ruben Stepanyan, Lukas D Landegger, Mark A Rutherford, M Charles Liberman, Bradley J Walters, Corné J Kros, Guy P Richardson, Lisa L Cunningham, Artur A Indzhykulian

Faculty Research 2024

Our sense of hearing is mediated by cochlear hair cells, of which there are two types organized in one row of inner hair cells and three rows of outer hair cells. Each cochlea contains 5-15 thousand terminally differentiated hair cells, and their survival is essential for hearing as they do not regenerate after insult. It is often desirable in hearing research to quantify the number of hair cells within cochlear samples, in both pathological conditions, and in response to treatment. Machine learning can be used to automate the quantification process but requires a vast and diverse dataset for effective training. …

Large-Scale Annotated Dataset For Cochlear Hair Cell Detection And Classification, Christopher J Buswinka, Jinkyung Kim, Anthony J Ricci, Mark A Rutherford, Et Al.

2020-Current year OA Pubs

Our sense of hearing is mediated by cochlear hair cells, of which there are two types organized in one row of inner hair cells and three rows of outer hair cells. Each cochlea contains 5-15 thousand terminally differentiated hair cells, and their survival is essential for hearing as they do not regenerate after insult. It is often desirable in hearing research to quantify the number of hair cells within cochlear samples, in both pathological conditions, and in response to treatment. Machine learning can be used to automate the quantification process but requires a vast and diverse dataset for effective training. …

Xpo1 Blockade With Kpt-330 Promotes Apoptosis In Cutaneous T-Cell Lymphoma By Activating The P53-P21 And P27 Pathways, Nitin Chakravarti, Amy Boles, Rachel Burzinski, Paola Sindaco, Colleen Isabelle, Kathleen Mcconnell, Anjali Mishra, Pierluigi Porcu

Kimmel Cancer Center Faculty Papers

Dysregulated nuclear-cytoplasmic trafficking has been shown to play a role in oncogenesis in several types of solid tumors and hematological malignancies. Exportin 1 (XPO1) is responsible for the nuclear export of several proteins and RNA species, mainly tumor suppressors. KPT-330, a small molecule inhibitor of XPO1, is approved for treating relapsed multiple myeloma and diffuse large B-cell lymphoma. Cutaneous T-cell lymphoma (CTCL) is an extranodal non-Hodgkin lymphoma with an adverse prognosis and limited treatment options in advanced stages. The effect of therapeutically targeting XPO1 with KPT-330 in CTCL has not been established. We report that XPO1 expression is upregulated in …

Lipoprotein(A) And Long-Term Cardiovascular Risk In A Multi-Ethnic Pooled Prospective Cohort, Nathan D Wong, Wenjun Fan, Xingdi Hu, Christie Ballantyne, Ron C Hoodgeveen, Michael Y Tsai, Auris Browne, Matthew J Budoff

Faculty, Staff and Students Publications

Background: Lipoprotein(a) (Lp[a]) is a causal genetic risk factor for atherosclerotic cardiovascular disease (ASCVD). There are limited long-term follow-up data from large U.S. population cohorts.

Objectives: This study examined the relationship of Lp(a) with ASCVD outcomes in a large, pooled, multi-ethnic U.S.

Methods: The study included data on Lp(a) and ASCVD outcomes from 5 U.S.

Prospective studies: MESA (Multi-Ethnic Study of Atherosclerosis), CARDIA (Coronary Artery Risk Development in Young Adults), JHS (Jackson Heart Study), FHS-OS (Framingham Heart Study-Offspring), and ARIC (Atherosclerosis Risk In Communities). Lp(a) levels were classified on the basis of cohort-specific percentiles. Multivariable Cox regression related Lp(a) with …

Immunophenotypic Predictors Of Influenza Vaccine Immunogenicity In Pediatric Hematopoietic Cell Transplant Recipients., Justin Z. Amarin, Daniel E. Dulek, Joshua Simmons, Haya Hayek, James D. Chappell, Cindy Hager Nochowicz, Carrie L. Kitko, Jennifer E. Schuster, Flor M. Muñoz, Claire E. Bocchini, Elizabeth A. Moulton, Susan E. Coffin, Jason L. Freedman, Monica I. Ardura, Rachel L. Wattier, Gabriela Maron, Michael Grimley, Grant Paulsen, Lara Danziger-Isakov, Paul A. Carpenter, Janet A. Englund, Natasha B. Halasa, Andrew J. Spieker, Spyros A. Kalams

Manuscripts, Articles, Book Chapters and Other Papers

Pediatric hematopoietic cell transplant (HCT) recipients exhibit poor serologic responses to influenza vaccination early after transplant. To facilitate the optimization of influenza vaccination timing, we sought to identify B- and T-cell subpopulations associated with influenza vaccine immunogenicity in this population. We used mass cytometry to phenotype peripheral blood mononuclear cells collected from pediatric HCT recipients enrolled in a multicenter influenza vaccine trial comparing high- and standard-dose formulations over 3 influenza seasons (2016-2019). We fit linear regression models to estimate relationships between immune cell subpopulation numbers before vaccination and prevaccination to postvaccination geometric mean fold rises in antigen-specific (A/H3N2, A/H1N1, and …

An Approach To Identify Gene-Environment Interactions And Reveal New Biological Insight In Complex Traits, Xiaofeng Zhu, Yihe Yang, Noah Lorincz-Comi, Gen Li, Amy R Bentley, Paul S De Vries, Michael Brown, Alanna C Morrison, Charles N Rotimi, W James Gauderman, Dabeeru C Rao, Hugues Aschard, Charge Gene-Lifestyle Interactions Working Group

2020-Current year OA Pubs

There is a long-standing debate about the magnitude of the contribution of gene-environment interactions to phenotypic variations of complex traits owing to the low statistical power and few reported interactions to date. To address this issue, the Gene-Lifestyle Interactions Working Group within the Cohorts for Heart and Aging Research in Genetic Epidemiology Consortium has been spearheading efforts to investigate G × E in large and diverse samples through meta-analysis. Here, we present a powerful new approach to screen for interactions across the genome, an approach that shares substantial similarity to the Mendelian randomization framework. We identify and confirm 5 loci …

An Approach To Identify Gene-Environment Interactions And Reveal New Biological Insight In Complex Traits, Xiaofeng Zhu, Yihe Yang, Noah Lorincz-Comi, Gen Li, Amy R Bentley, Paul S De Vries, Michael Brown, Alanna C Morrison, Charles N Rotimi, W James Gauderman, Dabeeru C Rao, Hugues Aschard

Faculty, Staff and Student Publications

There is a long-standing debate about the magnitude of the contribution of gene-environment interactions to phenotypic variations of complex traits owing to the low statistical power and few reported interactions to date. to address this issue, the Gene-Lifestyle Interactions Working Group within the Cohorts for Heart and Aging Research in Genetic Epidemiology Consortium has been spearheading efforts to investigate G × E in large and diverse samples through meta-analysis. Here, we present a powerful new approach to screen for interactions across the genome, an approach that shares substantial similarity to the Mendelian randomization framework. We identify and confirm 5 loci …