Digital Commons Network^™

Structural Basis Of The Human Transcriptional Mediator Regulated By Its Dissociable Kinase Module, Ti-Chun Chao, Shin-Fu Chen, Hee Jong Kim, Hui-Chi Tang, Hsiang-Ching Tseng, An Xu, Leon Palao, Subash Khadka, Tao Li, Mo-Fan Huang, Dung-Fang Lee, Kenji Murakami, Thomas G Boyer, Kuang-Lei Tsai

Faculty, Staff and Student Publications

The eukaryotic transcriptional Mediator comprises a large core (cMED) and a dissociable CDK8 kinase module (CKM). cMED recruits RNA polymerase II (RNA Pol II) and promotes pre-initiation complex formation in a manner repressed by the CKM through mechanisms presently unknown. Herein, we report cryoelectron microscopy structures of the complete human Mediator and its CKM. The CKM binds to multiple regions on cMED through both MED12 and MED13, including a large intrinsically disordered region (IDR) in the latter. MED12 and MED13 together anchor the CKM to the cMED hook, positioning CDK8 downstream and proximal to the transcription start site. Notably, the …

Bridging Big Data In The Enigma Consortium To Combine Non-Equivalent Cognitive Measures, Eamonn Kennedy, Shashank Vadlamani, Hannah M Lindsey, Pui-Wa Lei, Mary Jo-Pugh, Paul M Thompson, David F Tate, Frank G Hillary, Emily L Dennis, Elisabeth A Wilde, Enigma Clinical Endpoints Working Group Collaborators

Faculty, Staff and Student Publications

Investigators in neuroscience have turned to Big Data to address replication and reliability issues by increasing sample size. These efforts unveil new questions about how to integrate data across distinct sources and instruments. The goal of this study was to link scores across common auditory verbal learning tasks (AVLTs). This international secondary analysis aggregated multisite raw data for AVLTs across 53 studies totaling 10,505 individuals. Using the ComBat-GAM algorithm, we isolated and removed the component of memory scores associated with site effects while preserving instrumental effects. After adjustment, a continuous item response theory model used multiple memory items of varying …

An Emerging Multi-Omic Understanding Of The Genetics Of Opioid Addiction., Eric O Johnson, Heidi S Fisher, Kyle A Sullivan, Olivia Corradin, Sandra Sanchez-Roige, Nathan C Gaddis, Yasmine N Sami, Alice Townsend, Erica Teixeira Prates, Mirko Pavicic, Peter Kruse, Elissa J Chesler, Abraham A Palmer, Vanessa Troiani, Jason A. Bubier, Daniel A Jacobson, Brion S Maher

Faculty Research 2024

Opioid misuse, addiction, and associated overdose deaths remain global public health crises. Despite the tremendous need for pharmacological treatments, current options are limited in number, use, and effectiveness. Fundamental leaps forward in our understanding of the biology driving opioid addiction are needed to guide development of more effective medication-assisted therapies. This Review focuses on the omics-identified biological features associated with opioid addiction. Recent GWAS have begun to identify robust genetic associations, including variants in OPRM1, FURIN, and the gene cluster SCAI/PPP6C/RABEPK. An increasing number of omics studies of postmortem human brain tissue examining biological features (e.g., histone modification and gene …

Trends In Gaps Of Care For Patients With Congenital Heart Disease: Implications For Social Determinants Of Health And Child Opportunity Index, Abbas H. Zaidi, Adam Alberts, Devyani Chowdhury, Claude Beaty, Benjamin Brewer, Ming Hui Chen, Sarah D. De Ferranti

Department of Surgery Faculty Papers

BACKGROUND: Lifelong continuity of care is essential for patients with congenital heart disease (CHD) to maximize health outcomes; unfortunately, gaps in care (GIC) are common. Trends in GIC and of social determinants of health factors contributing to GIC are poorly understood.

METHODS AND RESULTS: This retrospective cohort study included patients with CHD, aged 0 to 34 years, who underwent surgery between January 2003 and May 2020, followed up at a pediatric subspeciality hospital. Patients were categorized as having simple, moderate, and complex CHD based on 2018 American Heart Association and American College of Cardiology guidelines. Social determinants of health, such …

Institutional Experience Of Lymphoproliferative Disorders With Initial Diagnosis Made Via Fine Needle Aspiration At Otolaryngology Clinic, Alaa S. Hrizat, Jerald Gong, Stacey M. Gargano

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

BACKGROUND: This study characterizes lymphomas presenting as palpable head and neck masses and evaluates the role of fine needle aspiration (FNA) and flow cytometry (FC) in diagnosis.

DESIGN: A 5-year retrospective review of FNAs performed by pathologists in an ENT clinic identified cases with a predominant lymphoid population that lacked an epithelial component. Cytology, FC, and subsequent surgical pathology diagnoses were correlated.

RESULTS: Of 821 FNAs, 154 (19%) met selection criteria. Reactive lymph nodes accounted for 43% (67/154), with most diagnosed as 'negative for malignancy,' except one 'atypical' (ATY) case. Lymphoma was confirmed in 57% (87/154) of cases, categorized as …

Exposure To Per- And Polyfluoroalkyl Substances And Alterations In Plasma Microrna Profiles In Children, Yijie Li, Brittney O Baumert, Nikos Stratakis, Jesse A Goodrich, Haotian Wu, Shelley H Liu, Hongxu Wang, Emily Beglarian, Scott M Bartell, Sandrah Proctor Eckel, Douglas Walker, Damaskini Valvi, Michele Andrea La Merrill, Thomas H Inge, Todd Jenkins, Justin R Ryder, Stephanie Sisley, Rohit Kohli, Stavra A Xanthakos, Marina Vafeiadi, Aikaterini Margetaki, Theano Roumeliotaki, Max Aung, Rob Mcconnell, Andrea Baccarelli, David Conti, Lida Chatzi

Faculty, Staff and Students Publications

BACKGROUND: Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals that persist in the environment and can accumulate in humans, leading to adverse health effects. MicroRNAs (miRNAs) are emerging biomarkers that can advance the understanding of the mechanisms of PFAS effects on human health. However, little is known about the associations between PFAS exposures and miRNA alterations in humans.

OBJECTIVE: To investigate associations between PFAS concentrations and miRNA levels in children.

METHODS: Data from two distinct cohorts were utilized: 176 participants (average age 17.1 years; 75.6% female) from the Teen-Longitudinal Assessment of Bariatric Surgery (Teen-LABS) cohort in the United States, and …

Accurate Identification Of Locally Aneuploid Cells By Incorporating Cytogenetic Information In Single Cell Data Analysis, Ziyi Li, Ruoxing Li, Irene Ganan-Gomez, Hussein A Abbas, Guillermo Garcia-Manero, Wei Sun

Faculty, Staff and Student Publications

Single-cell RNA sequencing is a powerful tool to investigate the cellular makeup of tumor samples. However, due to the sparse data and the complex tumor microenvironment, it can be challenging to identify neoplastic cells that play important roles in tumor growth and disease progression. This is especially relevant for blood cancers, where neoplastic cells may be highly similar to normal cells. To address this challenge, we have developed partCNV and partCNVH, two methods for rapid and accurate detection of aneuploid cells with local copy number deletion or amplification. PartCNV uses an expectation-maximization (EM) algorithm with mixtures of Poisson distributions and …

Biochemical And Structural Insights Into A 5′ To 3′ Rna Ligase Reveal A Potential Role In Trna Ligation, Yingjie Hu, Victor A Lopez, Hengyi Xu, James P Pfister, Bing Song, Kelly A Servage, Masahiro Sakurai, Benjamin T Jones, Joshua T Mendell, Tao Wang, Jun Wu, Alan M Lambowitz, Diana R Tomchick, Krzysztof Pawłowski, Vincent S Tagliabracci

Faculty, Staff and Student Publications

ATP-grasp superfamily enzymes contain a hand-like ATP-binding fold and catalyze a variety of reactions using a similar catalytic mechanism. More than 30 protein families are categorized in this superfamily, and they are involved in a plethora of cellular processes and human diseases. Here, we identify C12orf29 (RLIG1) as an atypical ATP-grasp enzyme that ligates RNA. Human RLIG1 and its homologs autoadenylate on an active site Lys residue as part of a reaction intermediate that specifically ligates RNA halves containing a 5’-phosphate and a 3’-hydroxyl. RLIG1 binds tRNA in cells and can ligate tRNA within the anticodon loop in vitro. Transcriptomic …

Yap1 Status Defines Two Intrinsic Subtypes Of Lcnec With Distinct Molecular Features And Therapeutic Vulnerabilities, C Allison Stewart, Lixia Diao, Yuanxin Xi, Runsheng Wang, Kavya Ramkumar, Alejandra G Serrano, Azusa Tanimoto, B Leticia Rodriguez, Benjamin B Morris, Li Shen, Bingnan Zhang, Yan Yang, Samera H Hamad, Robert J Cardnell, Alberto Duarte, Moushumi Sahu, Veronica Y Novegil, Bernard E Weissman, Michael Frumovitz, Neda Kalhor, Luisa Solis Soto, Pedro Da Rocha, Natalie Vokes, Don L Gibbons, Jing Wang, John V Heymach, Bonnie Glisson, Lauren Averett Byers, Carl M Gay

Faculty, Staff and Student Publications

Purpose: Large cell neuroendocrine carcinoma (LCNEC) is a high-grade neuroendocrine malignancy that, like small cell lung cancer (SCLC), is associated with the absence of druggable oncogenic drivers and dismal prognosis. In contrast to SCLC, however, there is little evidence to guide optimal treatment strategies, which are often adapted from SCLC and non-small cell lung cancer approaches.

Experimental design: To better define the biology of LCNEC, we analyzed cell line and patient genomic data and performed IHC and single-cell RNA sequencing of core needle biopsies from patients with LCNEC and preclinical models.

Results: In this study, we demonstrate that the presence …

Proportional Hazards Violations In Phase Iii Cancer Clinical Trials: A Potential Source Of Trial Misinterpretation, Timothy A Lin, Zachary R Mccaw, Alex Koong, Christine Lin, Joseph Abi Jaoude, Roshal Patel, Ramez Kouzy, Molly B El Alam, Alexander D Sherry, Sonal S Noticewala, Clifton D Fuller, Charles R Thomas, Ryan Sun, J Jack Lee, Ruitao Lin, Ying Yuan, Yu Shyr, Tomer Meirson, Ethan B Ludmir

Faculty, Staff and Student Publications

Purpose: Survival analyses of novel agents with long-term responders often exhibit differential hazard rates over time. Such proportional hazards violations (PHV) may reduce the power of the log-rank test and lead to misinterpretation of trial results. We aimed to characterize the incidence and study attributes associated with PHVs in phase III oncology trials and assess the utility of restricted mean survival time and maximum combination test as additional analyses.

Experimental design: Clinicaltrials.gov and PubMed were searched to identify two-arm, randomized, phase III superiority-design cancer trials with time-to-event primary endpoints and published results through 2020. Patient-level data were reconstructed from published …

Comparing Self-Report Medication Data From A Longitudinal Study On Intellectual Disability And National Dispensing Records, Rohit Shankar

Peninsula Medical School

BackgroundMedication data are a valuable resource in epidemiological studies. As the most common data collection method of medication data is self-report, it is important to understand the accuracy of this in comparison with other methods such as dispensing records. The aim of this study was to compare the agreement between two different sources of medication data of older adults with intellectual disability (ID).MethodsSelf-report medication data were gathered from the Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing and linked to national pharmacy dispensing records. The kappa statistic was used to measure agreement between the two data sources for …

Development And Validation Of A Machine Learning Model To Predict Myocardial Blood Flow And Clinical Outcomes From Patients’ Electrocardiogram, Fares Alahdab, Maliazurina Binti Saad, Ahmed Ibrahim Ahmed, Qasem Al Tashi, Muhammad Aminu, Yushui Han, Jonathan B Moody, Venkatesh L Murthy, Jia Wu, Mouaz H Al-Mallah

Faculty, Staff and Student Publications

We develop a machine learning (ML) model using electrocardiography (ECG) to predict myocardial blood flow reserve (MFR) and assess its prognostic value for major adverse cardiovascular events (MACEs). Using 3,639 ECG-positron emission tomography (PET) and 17,649 ECG-single-photon emission computed tomography (SPECT) data pairs, the ML model is trained with a swarm intelligence approach and support vector regression (SVR). The model achieves a receiver-operator curve (ROC) area under the curve (AUC) of 0.83, with a sensitivity and specificity of 0.75. An ECG-MFR value below 2 is significantly associated with MACE, with hazard ratios (HRs) of 3.85 and 3.70 in the discovery …

Memory Modulation: Dominance Of Negative Visual Context Over Neutral Verbal Memory, Stas Kozak, Noa Herz, Maya Tocker, Yair Bar-Haim, Nitzan Censor

Department of Neurology Faculty Papers

Neutral memories can be modulated via intentional memory control paradigms such as directed forgetting. In addition, previous studies have shown that neutral visual memories can be modulated indirectly, via remember and forget instructions towards competing verbal memories. Here we show that direct modulation of neutral verbal memory strength is impaired by negative visual context, and that negative visual context is resistant to indirect memory modulation. Participants were directly instructed to intentionally remember or forget newly encoded neutral verbal information. Importantly, this verbal information was interleaved with embedded negative visual context. Results showed that negative visual context eliminated the well-documented effect …

Integrated Electrophysiological And Genomic Profiles Of Single Cells Reveal Spiking Tumor Cells In Human Glioma, Rachel N Curry, Qianqian Ma, Malcolm F Mcdonald, Yeunjung Ko, Snigdha Srivastava, Pey-Shyuan Chin, Peihao He, Brittney Lozzi, Prazwal Athukuri, Junzhan Jing, Su Wang, Arif O Harmanci, Benjamin Arenkiel, Xiaolong Jiang, Benjamin Deneen, Ganesh Rao, Akdes Serin Harmanci

Faculty, Staff and Students Publications

Prior studies have described the complex interplay that exists between glioma cells and neurons, however, the electrophysiological properties endogenous to tumor cells remain obscure. To address this, we employed Patch-sequencing on human glioma specimens and found that one third of patched cells in IDH mutant (IDHmut) tumors demonstrate properties of both neurons and glia by firing single, short action potentials. To define these hybrid cells (HCs) and discern if they are of tumoral origin, we developed a computational tool, Single Cell Rule Association Mining (SCRAM), to annotate each cell individually. SCRAM revealed that HCs represent tumor and non-tumor cells that …

When Less Is More: Sketching With Minimizers In Genomics, Malick Ndiaye, Silvia Prieto-Baños, Lucy M Fitzgerald, Ali Yazdizadeh Kharrazi, Sergey Oreshkov, Christophe Dessimoz, Fritz J Sedlazeck, Natasha Glover, Sina Majidian

Faculty, Staff and Students Publications

The exponential increase in sequencing data calls for conceptual and computational advances to extract useful biological insights. One such advance, minimizers, allows for reducing the quantity of data handled while maintaining some of its key properties. We provide a basic introduction to minimizers, cover recent methodological developments, and review the diverse applications of minimizers to analyze genomic data, including de novo genome assembly, metagenomics, read alignment, read correction, and pangenomes. We also touch on alternative data sketching techniques including universal hitting sets, syncmers, or strobemers. Minimizers and their alternatives have rapidly become indispensable tools for handling vast amounts of data.

Stratomod: Predicting Sequencing And Variant Calling Errors With Interpretable Machine Learning, Nathan Dwarshuis, Peter Tonner, Nathan D Olson, Fritz J Sedlazeck, Justin Wagner, Justin M Zook

Faculty, Staff and Students Publications

Despite the variety in sequencing platforms, mappers, and variant callers, no single pipeline is optimal across the entire human genome. Therefore, developers, clinicians, and researchers need to make tradeoffs when designing pipelines for their application. Currently, assessing such tradeoffs relies on intuition about how a certain pipeline will perform in a given genomic context. We present StratoMod, which addresses this problem using an interpretable machine-learning classifier to predict germline variant calling errors in a data-driven manner. We show StratoMod can precisely predict recall using Hifi or Illumina and leverage StratoMod's interpretability to measure contributions from difficult-to-map and homopolymer regions for …

Bi-Directional Allosteric Pathway In Nmda Receptor Activation And Modulation, Paula A Bender, Subhajit Chakraborty, Ryan J Durham, Vladimir Berka, Elisa Carrillo, Vasanthi Jayaraman

Faculty, Staff and Student Publications

N-methyl-D-aspartate (NMDA) receptors are ionotropic glutamate receptors involved in learning and memory. NMDA receptors primarily comprise two GluN1 and two GluN2 subunits. The GluN2 subunit dictates biophysical receptor properties, including the extent of receptor activation and desensitization. GluN2A- and GluN2D-containing receptors represent two functional extremes. To uncover the conformational basis of their functional divergence, we utilize single-molecule fluorescence resonance energy transfer to probe the extracellular domains of these receptor subtypes under resting and ligand-bound conditions. We find that the conformational profile of the GluN2 amino-terminal domain correlates with the disparate functions of GluN2A- and GluN2D-containing receptors. Changes at the pre-transmembrane …

Long-Term Human Immune Reconstitution, T-Cell Development, And Immune Reactivity In Mice Lacking The Murine Major Histocompatibility Complex: Validation With Cellular And Gene Expression Profiles., Milita Darguzyte, Philipp Antczak, Daniel Bachurski, Patrick Hoelker, Nima Abedpour, Rahil Gholamipoorfard, Hans A Schlößer, Kerstin Wennhold, Martin Thelen, Maria A Garcia-Marquez, Johannes Koenig, Andreas Schneider, Tobias Braun, Frank Klawonn, Michael Damrat, Masudur Rahman, Jan-Malte Kleid, Sebastian J Theobald, Eugen Bauer, Constantin Von Kaisenberg, Steven R Talbot, Leonard D. Shultz, Brian Soper, Renata Stripecke

Faculty Research 2024

Background: Humanized mice transplanted with CD34+ hematopoietic cells (HPCs) are broadly used to study human immune responses and infections in vivo and for testing therapies pre-clinically. However, until now, it was not clear whether interactions between the mouse major histocompatibility complexes (MHCs) and/or the human leukocyte antigens (HLAs) were necessary for human T-cell development and immune reactivity. Methods: We evaluated the long-term (20- week) human hematopoiesis and human T-cell development in NOD Scid Gamma (NSG) mice lacking the expression of MHC class I and II (NSG-DKO). Triplicate experiments were performed with HPCs obtained from three donors, and humanization was confirmed …

Pain After Licorice Or Sugar-Water Gargling In Patients Recovering From Oropharyngeal Surgery-A Randomized, Double-Blind Trial, Marita Windpassinger, Michal Prusak, Jana Gemeiner, Olga Plattner, Stefan Janik, Gerold Besser, Wolfgang Gstoettner, Pu Xuan, Daniel I Sessler, Kurt Ruetzler

Faculty, Staff and Student Publications

Background: Glycyrrhiza glabrata (licorice) is used in traditional medicine and herbal remedies and reduces sore throats consequent to intubation, but whether it is protective for more intense pain after oropharyngeal surgery remains unclear. We thus tested the joint hypothesis that gargling with licorice, which has anti-inflammatory and antioxidant properties, reduces postoperative pain and morphine consumption.

Methods: We enrolled patients having elective oropharyngeal surgery. Participants were randomly allocated to gargle with either 1 g licorice or a sugar placebo before and for up to three days after surgery. A numerical rating scale (NRS) for pain along with morphine consumption was evaluated …

Mates: A Deep Learning-Based Model For Locus-Specific Quantification Of Transposable Elements In Single Cell, Ruohan Wang, Yumin Zheng, Zijian Zhang, Kailu Song, Erxi Wu, Xiaopeng Zhu, Tao P Wu, Jun Ding

Faculty, Staff and Students Publications

Transposable elements (TEs) are crucial for genetic diversity and gene regulation. Current single-cell quantification methods often align multi-mapping reads to either 'best-mapped' or 'random-mapped' locations and categorize them at the subfamily levels, overlooking the biological necessity for accurate, locus-specific TE quantification. Moreover, these existing methods are primarily designed for and focused on transcriptomics data, which restricts their adaptability to single-cell data of other modalities. To address these challenges, here we introduce MATES, a deep-learning approach that accurately allocates multi-mapping reads to specific loci of TEs, utilizing context from adjacent read alignments flanking the TE locus. When applied to diverse single-cell …

Multivariable Mendelian Randomization With Incomplete Measurements On The Exposure Variables In The Hispanic Community Health Study/Study Of Latinos, Yilun Li, Kin Yau Wong, Annie Green Howard, Penny Gordon-Larsen, Heather M Highland, Mariaelisa Graff, Kari E North, Carolina G Downie, Christy L Avery, Bing Yu, Kristin L Young, Victoria L Buchanan, Robert Kaplan, Lifang Hou, Brian Thomas Joyce, Qibin Qi, Tamar Sofer, Jee-Young Moon, Dan-Yu Lin

Faculty, Staff and Student Publications

Multivariable Mendelian randomization allows simultaneous estimation of direct causal effects of multiple exposure variables on an outcome. When the exposure variables of interest are quantitative omic features, obtaining complete data can be economically and technically challenging: the measurement cost is high, and the measurement devices may have inherent detection limits. In this paper, we propose a valid and efficient method to handle unmeasured and undetectable values of the exposure variables in a one-sample multivariable Mendelian randomization analysis with individual-level data. We estimate the direct causal effects with maximum likelihood estimation and develop an expectation-maximization algorithm to compute the estimators. We …

Impact Of Age On Pharmacogenomics And Treatment Outcomes Of B-Cell Acute Lymphoblastic Leukemia, Satoshi Yoshimura, Zhenhua Li, Yoshihiro Gocho, Wenjian Yang, Kristine R Crews, Shawn H R Lee, Kathryn G Roberts, Charles G Mullighan, Mary V Relling, Jiyang Yu, Allen E J Yeoh, Mignon L Loh, Caner Saygin, Mark R Litzow, Sima Jeha, Seth E Karol, Hiroto Inaba, Ching-Hon Pui, Marina Konopleva, Nitin Jain, Wendy Stock, Elisabeth Paietta, Elias Jabbour, Steven M Kornblau, William E Evans, Jun J Yang

Faculty, Staff and Student Publications

Purpose: Acute lymphoblastic leukemia (ALL) can occur across all age groups, with a strikingly higher cure rate in children compared with adults. However, the pharmacological basis of age-related differences in ALL treatment response remains unclear.

Methods: Studying 767 children and 309 adults with newly diagnosed B-cell ALL enrolled on frontline trials at St Jude Children's Research Hospital, MD Anderson Cancer Center, the Alliance for Clinical Trials in Oncology, and the ECOG-ACRIN Cancer Research Group, we determined the ex vivo sensitivity of leukemia cells to 21 drugs. Twenty-three ALL molecular subtypes were identified using RNA sequencing. We systematically characterized the associations …

Recent Progress In Modeling And Treating Diabetes Using Stem Cell-Derived Islets, Marlie M Maestas, Maggie H Bui, Jeffrey R Millman

2020-Current year OA Pubs

Stem cell-derived islets (SC-islets) offer the potential to be an unlimited source of cells for disease modeling and the treatment of diabetes. SC-islets can be genetically modified, treated with chemical compounds, or differentiated from patient derived stem cells to model diabetes. These models provide insights into disease pathogenesis and vulnerabilities that may be targeted to provide treatment. SC-islets themselves are also being investigated as a cell therapy for diabetes. However, the transplantation process is imperfect; side effects from immunosuppressant use have reduced SC-islet therapeutic potential. Alternative methods to this include encapsulation, use of immunomodulating molecules, and genetic modification of SC-islets. …

Clinical Sequelae Of Gut Microbiome Development And Disruption In Hospitalized Preterm Infants, Robert Thänert, Drew J Schwartz, Eric C Keen, Carla Hall-Moore, Bin Wang, Nurmohammad Shaikh, Jie Ning, L Colleen Rouggly-Nickless, Anna Thänert, Aura Ferreiro, Skye R S Fishbein, Janice E Sullivan, Paula Radmacher, Marilyn Escobedo, Barbara B Warner, Phillip I Tarr, Gautam Dantas

2020-Current year OA Pubs

Aberrant preterm infant gut microbiota assembly predisposes to early-life disorders and persistent health problems. Here, we characterize gut microbiome dynamics over the first 3 months of life in 236 preterm infants hospitalized in three neonatal intensive care units using shotgun metagenomics of 2,512 stools and metatranscriptomics of 1,381 stools. Strain tracking, taxonomic and functional profiling, and comprehensive clinical metadata identify Enterobacteriaceae, enterococci, and staphylococci as primarily exploiting available niches to populate the gut microbiome. Clostridioides difficile lineages persist between individuals in single centers, and Staphylococcus epidermidis lineages persist within and, unexpectedly, between centers. Collectively, antibiotic and non-antibiotic medications influence gut …

Rare Variant Contribution To The Heritability Of Coronary Artery Disease, Ghislain Rocheleau, Shoa L Clarke, Gaëlle Auguste, Natalie R Hasbani, Alanna C Morrison, Adam S Heath, Lawrence F Bielak, Kruthika R Iyer, Erica P Young, Nathan O Stitziel, Goo Jun, Cecelia Laurie, Jai G Broome, Alyna T Khan, Donna K Arnett, Lewis C Becker, Joshua C Bis, Eric Boerwinkle, Donald W Bowden, April P Carson, Patrick T Ellinor, Myriam Fornage, Nora Franceschini, Barry I Freedman, Nancy L Heard-Costa, Lifang Hou, Yii-Der Ida Chen, Eimear E Kenny, Charles Kooperberg, Brian G Kral, Ruth J F Loos, Sharon M Lutz, Joann E Manson, Lisa W Martin, Braxton D Mitchell, Rami Nassir, Nicholette D Palmer, Wendy S Post, Michael H Preuss, Bruce M Psaty, Laura M Raffield, Elizabeth A Regan, Stephen S Rich, Jennifer A Smith, Kent D Taylor, Lisa R Yanek, Kendra A Young, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Austin T Hilliard, Catherine Tcheandjieu, Patricia A Peyser, Ramachandran S Vasan, Jerome I Rotter, Clint L Miller, Themistocles L Assimes, Paul S De Vries, Ron Do

Faculty, Staff and Student Publications

Whole genome sequences (WGS) enable discovery of rare variants which may contribute to missing heritability of coronary artery disease (CAD). To measure their contribution, we apply the GREML-LDMS-I approach to WGS of 4949 cases and 17,494 controls of European ancestry from the NHLBI TOPMed program. We estimate CAD heritability at 34.3% assuming a prevalence of 8.2%. Ultra-rare (minor allele frequency ≤ 0.1%) variants with low linkage disequilibrium (LD) score contribute ~50% of the heritability. We also investigate CAD heritability enrichment using a diverse set of functional annotations: i) constraint; ii) predicted protein-altering impact; iii) cis-regulatory elements from a cell-specific chromatin …

Single-Cell Somatic Copy Number Variants In Brain Using Different Amplification Methods And Reference Genomes, Ester Kalef-Ezra, Zeliha Gozde Turan, Diego Perez-Rodriguez, Ida Bomann, Sairam Behera, Caoimhe Morley, Sonja W Scholz, Zane Jaunmuktane, Jonas Demeulemeester, Fritz J Sedlazeck, Christos Proukakis

Faculty, Staff and Students Publications

The presence of somatic mutations, including copy number variants (CNVs), in the brain is well recognized. Comprehensive study requires single-cell whole genome amplification, with several methods available, prior to sequencing. Here we compare PicoPLEX with two recent adaptations of multiple displacement amplification (MDA): primary template-directed amplification (PTA) and droplet MDA, across 93 human brain cortical nuclei. We demonstrate different properties for each, with PTA providing the broadest amplification, PicoPLEX the most even, and distinct chimeric profiles. Furthermore, we perform CNV calling on two brains with multiple system atrophy and one control brain using different reference genomes. We find that 20.6% …

Pandemic Perspectives From Detained Youth During Covid-19: Bridging The Knowledge Gap For Future Safeguards., April Mcneill-Johnson, Zuri Hudson, Brittany Moore, Dumebi Okocha, Megha Ramaswamy, Kimberly Randell

Manuscripts, Articles, Book Chapters and Other Papers

Despite the worsening health disparities among youth in detention during the COVID-19 pandemic, there has been minimal exploration into the pandemic experiences of detained youth and opportunities for pandemic mitigation. This paper analyzes the perspectives of youth in detention on the pandemic, including the effect of the pandemic on their detention experience and their perceptions about COVID-19 vaccination. The study used purposive sampling to recruit 16 participants (aged 14-17 years) from two juvenile detention centers in the urban Midwest. We conducted semi-structured interviews and analyzed verbatim transcripts using a hybrid deductive-inductive approach and thematic analysis. Four themes emerged: 1) personal …

Promoting Healthful And Diverse Eating Behaviours Through An Extracurricular Culinary Skills Intervention In Philadelphia, Matthew D. Kearney, Arlene R. Maheu, Madalyn Booth, Andrew B. Newberg, Peter F. Cronholm, Soussan Ayubcha

SKMC Student Presentations and Publications

In the current study we evaluated an afterschool nutrition education programme, called Vetri Cooking Lab (VCL), for promoting healthy and diverse eating habits among at-risk children in the Greater Philadelphia area. To understand potential programme impacts, we conducted a longitudinal analysis of survey data collected before and after participation in VCL. Main study included cooking confidence, cooking knowledge, changes in dietary consumption behaviours, and changes in vegetable preferences. Participants included students in grades 3-11 enrolled in VCL during the 2018-19 school year at VCL sites (n = 60) throughout Philadelphia, PA, and Camden, NJ. Eligible participants completed surveys both before …

Gender And Sexuality Awareness In Medical Education And Practice: Mixed Methods Study, Rola Khamisy-Farah, Eden Biras, Rabie Shehadeh, Ruba Tuma, Hisham Atwan, Anna Siri, Manlio Converti, Francesco Chirico, Łukasz Szarpak, Carlo Biz, Raymond Farah, Nicola Bragazzi

Faculty, Staff and Students Publications

BACKGROUND: The integration of gender and sexuality awareness in health care is increasingly recognized as vital for patient outcomes. Despite this, there is a notable lack of comprehensive data on the current state of physicians' training and perceptions in these areas, leading to a gap in targeted educational interventions and optimal health care delivery.

OBJECTIVE: The study's aim was to explore the experiences and perceptions of attending and resident physicians regarding the inclusion of gender and sexuality content in medical school curricula and professional practice in Israel.

METHODS: This cross-sectional survey targeted a diverse group of physicians across various specializations …

Association Of Resilience-Related Life Experiences On Variability On Age Of Onset In Dominantly Inherited Alzheimer Disease, Hye Joo Son, Randall J. Bateman, Jorge J. Llibre-Guerra, Richard J. Perrin, John C. Morris, Carlos Cruchaga, Jason Hassenstab, Alisha Daniels, Et Al.

2020-Current year OA Pubs

BACKGROUND AND OBJECTIVES: It remains unknown whether the associations between protective lifestyles and sporadic dementia risk reported in observational studies also affect age at symptom onset (AAO) in autosomal dominant Alzheimer disease (ADAD) with predominant genetic influences. We investigated the associations between resilience-related life experiences and interindividual AAO variability in ADAD.

METHODS: We performed a longitudinal and confirmatory analysis of the Dominantly Inherited Alzheimer Network prospective observational cohort (January 2009-June 2018, follow-up duration 2.13 ± 2.22 years), involving clinical, CSF, and lifestyle/behavioral assessments. We performed a 2-pronged comprehensive resilience assessment in each cohort. Cohort 1, incorporating the general resilience definition …