Digital Commons Network^™

Pim1 Promotes Hepatic Conversion By Suppressing Reprogramming-Induced Ferroptosis And Cell Cycle Arrest, Yangyang Yuan, Chenwei Wang, Xuran Zhuang, Shaofeng Lin, Miaomiao Luo, Wankun Deng, Jiaqi Zhou, Lihui Liu, Lina Mao, Wenbo Peng, Jian Chen, Qiangsong Wang, Yilai Shu, Yu Xue, Pengyu Huang

Faculty, Staff and Student Publications

Protein kinase-mediated phosphorylation plays a critical role in many biological processes. However, the identification of key regulatory kinases is still a great challenge. Here, we develop a trans-omics-based method, central kinase inference, to predict potentially key kinases by integrating quantitative transcriptomic and phosphoproteomic data. Using known kinases associated with anti-cancer drug resistance, the accuracy of our method denoted by the area under the curve is 5.2% to 29.5% higher than Kinase-Substrate Enrichment Analysis. We further use this method to analyze trans-omic data in hepatocyte maturation and hepatic reprogramming of human dermal fibroblasts, uncovering 5 kinases as regulators in the two …

A Novel Qkd Approach To Enhance Iiot Privacy And Computational Knacks, Kranthi Kumar Singamaneni, Gaurav Dhiman, Sapna Juneja, Ghulam Muhammad, Salman A Alqahtani, John Zaki

Faculty, Staff and Student Publications

The industry-based internet of things (IIoT) describes how IIoT devices enhance and extend their capabilities for production amenities, security, and efficacy. IIoT establishes an enterprise-to-enterprise setup that means industries have several factories and manufacturing units that are dependent on other sectors for their services and products. In this context, individual industries need to share their information with other external sectors in a shared environment which may not be secure. The capability to examine and inspect such large-scale information and perform analytical protection over the large volumes of personal and organizational information demands authentication and confidentiality so that the total data …

Biomolecular Condensation: A New Phase In Cancer Research, Anupam K Chakravarty, Daniel J Mcgrail, Thomas M Lozanoski, Brandon S Dunn, David J H Shih, Kara M Cirillo, Sueda H Cetinkaya, Wenjin Jim Zheng, Gordon B Mills, S Stephen Yi, Daniel F Jarosz, Nidhi Sahni

Faculty, Staff and Student Publications

Multicellularity was a watershed development in evolution. However, it also meant that individual cells could escape regulatory mechanisms that restrict proliferation at a severe cost to the organism: cancer. From the standpoint of cellular organization, evolutionary complexity scales to organize different molecules within the intracellular milieu. The recent realization that many biomolecules can "phase-separate" into membraneless organelles, reorganizing cellular biochemistry in space and time, has led to an explosion of research activity in this area. In this review, we explore mechanistic connections between phase separation and cancer-associated processes and emerging examples of how these become deranged in malignancy.

SIGNIFICANCE: One …

Ethnic Disparities In Early-Onset Gastric Cancer: A Population-Based Study In Texas And California, Anna Tavakkoli, Sandi L Pruitt, Anh Q Hoang, Hong Zhu, Amy E Hughes, Thomas A Mckey, B Joseph Elmunzer, Richard S Kwon, Caitlin C Murphy, Amit G Singal

Faculty, Staff and Student Publications

BACKGROUND: Incidence rates of gastric cancer are increasing in young adults (age <50 >years), particularly among Hispanic persons. We estimated incidence rates of early-onset gastric cancer (EOGC) among Hispanic and non-Hispanic White persons by census tract poverty level and county-level metro/nonmetro residence.

METHODS: We used population-based data from the California and Texas Cancer Registries from 1995 to 2016 to estimate age-adjusted incidence rates of EOGC among Hispanic and non-Hispanic White persons by year, sex, tumor stage, census tract poverty level, metro versus nonmetro county, and state. We used logistic regression models to identify factors associated with distant stage diagnosis.

RESULTS: Of …

Association Study Between Polymorphisms In Dna Methylation-Related Genes And Testicular Germ Cell Tumor Risk, Chiara Grasso, Maja Popovic, Elena Isaevska, Fulvio Lazzarato, Valentina Fiano, Daniela Zugna, John Pluta, Benita Weathers, Kurt D'Andrea, Kristian Almstrup, Lynn Anson-Cartwright, D Timothy Bishop, Stephen J Chanock, Chu Chen, Victoria K Cortessis, Marlene D Dalgaard, Siamak Daneshmand, Alberto Ferlin, Carlo Foresta, Megan N Frone, Marija Gamulin, Jourik A Gietema, Mark H Greene, Tom Grotmol, Robert J Hamilton, Trine B Haugen, Russ Hauser, Robert Karlsson, Lambertus A Kiemeney, Davor Lessel, Patrizia Lista, Ragnhild A Lothe, Chey Loveday, Coby Meijer, Kevin T Nead, Jérémie Nsengimana, Rolf I Skotheim, Clare Turnbull, David J Vaughn, Fredrik Wiklund, Tongzhang Zheng, Andrea Zitella, Stephen M Schwartz, Katherine A Mcglynn, Peter A Kanetsky, Katherine L Nathanson, Lorenzo Richiardi

Faculty, Staff and Student Publications

Background: Testicular germ cell tumors (TGCT), histologically classified as seminomas and nonseminomas, are believed to arise from primordial gonocytes, with the maturation process blocked when they are subjected to DNA methylation reprogramming. SNPs in DNA methylation machinery and folate-dependent one-carbon metabolism genes have been postulated to influence the proper establishment of DNA methylation.

Methods: In this pathway-focused investigation, we evaluated the association between 273 selected tag SNPs from 28 DNA methylation-related genes and TGCT risk. We carried out association analysis at individual SNP and gene-based level using summary statistics from the Genome Wide Association Study meta-analysis recently conducted by the …

Promoting Validation And Cross-Phylogenetic Integration In Model Organism Research., Keith C Cheng, Rebecca D Burdine, Mary E Dickinson, Stephen C Ekker, Alex Y Lin, K C Kent Lloyd, Cathleen Lutz, Calum A Macrae, John H Morrison, David H O'Connor, John H Postlethwait, Crystal D Rogers, Susan Sanchez, Julie H Simpson, William S Talbot, Douglas C Wallace, Jill M Weimer, Hugo J Bellen

Faculty Research 2022

Model organism (MO) research provides a basic understanding of biology and disease due to the evolutionary conservation of the molecular and cellular language of life. MOs have been used to identify and understand the function of orthologous genes, proteins, cells and tissues involved in biological processes, to develop and evaluate techniques and methods, and to perform whole-organism-based chemical screens to test drug efficacy and toxicity. However, a growing richness of datasets and the rising power of computation raise an important question: How do we maximize the value of MOs? In-depth discussions in over 50 virtual presentations organized by the National …

Cancer Incidence And Stage At Diagnosis Among People With Recent-Onset Psychotic Disorders: A Retrospective Cohort Study Using Health Administrative Data From Ontario, Canada., Jared C Wootten, Lucie Richard, Phillip S Blanchette, Joshua C. Wiener, Kelly K. Anderson

Epidemiology and Biostatistics Publications

OBJECTIVE: Prior evidence on the relative risk of cancer among people with psychotic disorders is equivocal. The objective of this study was to compare incidence and stage at diagnosis of cancer for people with psychotic disorders relative to the general population.

METHOD: We constructed a retrospective cohort of people with a first diagnosis of non-affective psychotic disorder and a comparison group from the general population using linked health administrative databases in Ontario, Canada. The cohort was followed for incident diagnoses of cancer over a 25-year period. We used Poisson and logistic regression models to compare cancer incidence and stage at …

Genetic Loci And Prioritization Of Genes For Kidney Function Decline Derived From A Meta-Analysis Of 62 Longitudinal Genome-Wide Association Studies, Mathias Gorski, Humaira Rasheed, Alexander Teumer, Laurent F Thomas, Sarah E Graham, Gardar Sveinbjornsson, Thomas W Winkler, Felix Günther, Klaus J Stark, Jin-Fang Chai, Bamidele O Tayo, Matthias Wuttke, Yong Li, Adrienne Tin, Tarunveer S Ahluwalia, Johan Ärnlöv, Bjørn Olav Åsvold, Stephan J L Bakker, Bernhard Banas, Nisha Bansal, Mary L Biggs, Ginevra Biino, Michael Böhnke, Eric Boerwinkle, Erwin P Bottinger, Hermann Brenner, Ben Brumpton, Robert J Carroll, Layal Chaker, John Chalmers, Miao-Li Chee, Miao-Ling Chee, Ching-Yu Cheng, Audrey Y Chu, Marina Ciullo, Massimiliano Cocca, James P Cook, Josef Coresh, Daniele Cusi, Martin H De Borst, Frauke Degenhardt, Kai-Uwe Eckardt, Karlhans Endlich, Michele K Evans, Mary F Feitosa, Andre Franke, Sandra Freitag-Wolf, Christian Fuchsberger, Piyush Gampawar, Ron T Gansevoort, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Christian Gieger, Daniel F Gudbjartsson, Stein Hallan, Pavel Hamet, Asahi Hishida, Kevin Ho, Edith Hofer, Bernd Holleczek, Hilma Holm, Anselm Hoppmann, Katrin Horn, Nina Hutri-Kähönen, Kristian Hveem, Shih-Jen Hwang, M Arfan Ikram, Navya Shilpa Josyula, Bettina Jung, Mika Kähönen, Irma Karabegović, Chiea-Chuen Khor, Wolfgang Koenig, Holly Kramer, Bernhard K Krämer, Brigitte Kühnel, Johanna Kuusisto, Markku Laakso, Leslie A Lange, Terho Lehtimäki, Man Li, Wolfgang Lieb, Lifelines Cohort Study, Lars Lind, Cecilia M Lindgren, Ruth J F Loos, Mary Ann Lukas, Leo-Pekka Lyytikäinen, Anubha Mahajan, Pamela R Matias-Garcia, Christa Meisinger, Thomas Meitinger, Olle Melander, Yuri Milaneschi, Pashupati P Mishra, Nina Mononen, Andrew P Morris, Josyf C Mychaleckyj, Girish N Nadkarni, Mariko Naito, Masahiro Nakatochi, Mike A Nalls, Matthias Nauck, Kjell Nikus, Boting Ning, Ilja M Nolte, Teresa Nutile, Michelle L O'Donoghue, Jeffrey O'Connell, Isleifur Olafsson, Marju Orho-Melander, Afshin Parsa, Sarah A Pendergrass, Brenda W J H Penninx, Mario Pirastu, Michael H Preuss, Bruce M Psaty, Laura M Raffield, Olli T Raitakari, Myriam Rheinberger, Kenneth M Rice, Federica Rizzi, Alexander R Rosenkranz, Peter Rossing, Jerome I Rotter, Daniela Ruggiero, Kathleen A Ryan, Charumathi Sabanayagam, Erika Salvi, Helena Schmidt, Reinhold Schmidt, Markus Scholz, Ben Schöttker, Christina-Alexandra Schulz, Sanaz Sedaghat, Christian M Shaffer, Karsten B Sieber, Xueling Sim, Mario Sims, Harold Snieder, Kira J Stanzick, Unnur Thorsteinsdottir, Hannah Stocker, Konstantin Strauch, Heather M Stringham, Patrick Sulem, Silke Szymczak, Kent D Taylor, Chris H L Thio, Johanne Tremblay, Simona Vaccargiu, Pim Van Der Harst, Peter J Van Der Most, Niek Verweij, Uwe Völker, Kenji Wakai, Melanie Waldenberger, Lars Wallentin, Stefan Wallner, Judy Wang, Dawn M Waterworth, Harvey D White, Cristen J Willer, Tien-Yin Wong, Mark Woodward, Qiong Yang, Laura M Yerges-Armstrong, Martina Zimmermann, Alan B Zonderman, Tobias Bergler, Kari Stefansson, Carsten A Böger, Cristian Pattaro, Anna Köttgen, Florian Kronenberg, Iris M Heid

Faculty, Staff and Student Publications

Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genome-wide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR-baseline (11 novel, one known for this phenotype), including nine …

Game Of Clones: Battles In The Field Of Carcinogenesis, Zahraa Rahal, Ansam Sinjab, Ignacio I Wistuba, Humam Kadara

Faculty, Staff and Student Publications

Recent advances in bulk sequencing approaches as well as genomic decoding at the single-cell level have revealed surprisingly high somatic mutational burdens in normal tissues, as well as increased our understanding of the landscape of "field cancerization", that is, molecular and immune alterations in mutagen-exposed normal-appearing tissues that recapitulated those present in tumors. Charting the somatic mutational landscapes in normal tissues can have strong implications on our understanding of how tumors arise from mutagenized epithelium. Making sense of those mutations to understand the progression along the pathologic continuum of normal epithelia, preneoplasias, up to malignant tissues will help pave way …

Mass Transport Model Of Radiation Response: Calibration And Application To Chemoradiation For Pancreatic Cancer, Charles X Wang, Dalia Elganainy, Mohamed M Zaid, Joseph D Butner, Anshuman Agrawal, Sara Nizzero, Bruce D Minsky, Emma B Holliday, Cullen M Taniguchi, Grace L Smith, Albert C Koong, Joseph M Herman, Prajnan Das, Anirban Maitra, Huamin Wang, Robert A Wolff, Matthew H G Katz, Christopher H Crane, Vittorio Cristini, Eugene J Koay

Faculty, Staff and Student Publications

PURPOSE: The benefit of radiation therapy for pancreatic ductal adenocarcinoma (PDAC) remains unclear. We hypothesized that a new mechanistic mathematical model of chemotherapy and radiation response could predict clinical outcomes a priori, using a previously described baseline measurement of perfusion from computed tomography scans, normalized area under the enhancement curve (nAUC).

METHODS AND MATERIALS: We simplified an existing mass transport model that predicted cancer cell death by replacing previously unknown variables with averaged direct measurements from randomly selected pathologic sections of untreated PDAC. This allowed using nAUC as the sole model input to approximate tumor perfusion. We then compared the …

Repeatability And Reproducibility Assessment Of The Apparent Diffusion Coefficient In The Prostate: A Trial Of The Ecog-Acrin Research Group (Acrin 6701), Michael A Boss, Bradley S Snyder, Eunhee Kim, Dena Flamini, Sarah Englander, Karthik M Sundaram, Naveen Gumpeni, Suzanne L Palmer, Haesun Choi, Adam T Froemming, Thorsten Persigehl, Matthew S Davenport, Dariya Malyarenko, Thomas L Chenevert, Mark A Rosen

Faculty, Staff and Student Publications

Background: Uncertainty regarding the reproducibility of the apparent diffusion coefficient (ADC) hampers the use of quantitative diffusion-weighted imaging (DWI) in evaluation of the prostate with magnetic resonance imaging MRI. The quantitative imaging biomarkers alliance (QIBA) profile for quantitative DWI claims a within-subject coefficient of variation (wCV) for prostate lesion ADC of 0.17. Improved understanding of ADC reproducibility would aid the use of quantitative diffusion in prostate MRI evaluation.

Purpose: Evaluation of the repeatability (same-day) and reproducibility (multi-day) of whole-prostate and focal-lesion ADC assessment in a multi-site setting.

Study type: Prospective multi-institutional.

Subjects: Twenty-nine males, ages 53 to 80 (median 63) …

Arrhythmia Burden And Heart Rate Response During Exercise In Anderson-Fabry Disease, Adam W Powell, Samuel G Wittekind, Wayne A Mays, Sean M Lang, Timothy K Knilans, Carlos E Prada, Robert J Hopkin, Clifford Chin

The Texas Heart Institute Journal

Patients with Anderson-Fabry disease (AFD) have an elevated incidence of resting arrhythmias and ischemic heart disease, but their exercise arrhythmia burden and ischemic changes are not well understood. In addition, little research has been done on heart rate recovery in these patients.

We retrospectively reviewed charts of patients with AFD who underwent maximal effort cardiopulmonary exercise testing (CPET) (n=44; 38.2 ± 13.8 yr; 23 men) from 2012 through 2018. Electrocardiographic, Holter monitoring, echocardiographic, cardiac magnetic resonance imaging, and patient demographic data were collected.

No patient had adverse events that necessitated CPET termination, whereas 25 (57%) had ectopy during CPET, including …

Lifestyle Intervention Strategy To Treat Diabetes In Older Adults: A Randomized Controlled Trial, Alessandra Celli, Yoann Barnouin, Bryan Jiang, Dean Blevins, Georgia Colleluori, Sanjay Mediwala, Reina Armamento-Villareal, Clifford Qualls, Dennis T Villareal

Faculty, Staff and Students Publications

OBJECTIVE: Lifestyle intervention is recommended as first-line treatment of diabetes at all ages; however, little is known about the efficacy of lifestyle intervention in older adults with diabetes. We aimed to determine whether lifestyle intervention would improve glycemic control and age-relevant outcomes in older adults with diabetes and comorbidities.

RESEARCH DESIGN AND METHODS: A total of 100 older adults with diabetes were randomly assigned to 1-year intensive lifestyle intervention (ILI) (diet and exercise at a facility transitioned into community-fitness centers and homes) or healthy lifestyle (HL) group. The primary outcome was change in HbA1c. Secondary outcomes included glucoregulation, body composition, …

Evolution Of Multiple Domains Of The Hiv-1 Envelope Glycoprotein During Coreceptor Switch With Ccr5 Antagonist Therapy, Yueqi Du, Ellen Wu, Xiang Gao, Jie Zhang, John C Martin, Bruce A Rosa, Makedonka Mitreva, Lee Ratner

2020-Current year OA Pubs

HIV-1 uses CD4 as a receptor and chemokine receptors CCR5 and/or CXCR4 as coreceptors. CCR5 antagonists are a class of antiretrovirals used to inhibit viral entry. Phenotypic prediction algorithms such as Geno2Pheno are used to assess CCR5 antagonist eligibility, for which the V3 region is screened. However, there exist scenarios where the algorithm cannot give an accurate prediction of tropism. The current study examined coreceptor shift of HIV-1 from CCR5-tropic strains to CXCR4-tropic or dual-tropic strains among five subjects in a clinical trial of the CCR5 antagonist vicriviroc. Envelope gene amplicon libraries were constructed and subjected to next-generation sequencing, as …

Endophenotype Effect Sizes Support Variant Pathogenicity In Monogenic Disease Susceptibility Genes, Jennifer L Halford, Valerie N Morrill, Seung Hoan Choi, Sean J Jurgens, Giorgio Melloni, Nicholas A Marston, Lu-Chen Weng, Victor Nauffal, Amelia W Hall, Sophia Gunn, Christina A Austin-Tse, James P Pirruccello, Shaan Khurshid, Heidi L Rehm, Emelia J Benjamin, Eric Boerwinkle, Jennifer A Brody, Adolfo Correa, Brandon K Fornwalt, Namrata Gupta, Christopher M Haggerty, Stephanie Harris, Susan R Heckbert, Charles C Hong, Charles Kooperberg, Henry J Lin, Ruth J F Loos, Braxton D Mitchell, Alanna C Morrison, Wendy Post, Bruce M Psaty, Susan Redline, Kenneth M Rice, Stephen S Rich, Jerome I Rotter, Peter F Schnatz, Elsayed Z Soliman, Nona Sotoodehnia, Eugene K Wong, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Marc S Sabatine, Christian T Ruff, Kathryn L Lunetta, Patrick T Ellinor, Steven A Lubitz

Faculty, Staff and Student Publications

Accurate and efficient classification of variant pathogenicity is critical for research and clinical care. Using data from three large studies, we demonstrate that population-based associations between rare variants and quantitative endophenotypes for three monogenic diseases (low-density-lipoprotein cholesterol for familial hypercholesterolemia, electrocardiographic QTc interval for long QT syndrome, and glycosylated hemoglobin for maturity-onset diabetes of the young) provide evidence for variant pathogenicity. Effect sizes are associated with pathogenic ClinVar assertions (P < 0.001 for each trait) and discriminate pathogenic from non-pathogenic variants (area under the curve 0.82-0.84 across endophenotypes). An effect size threshold of ≥ 0.5 times the endophenotype standard deviation nominates up to 35% of rare variants of uncertain significance or not in ClinVar in disease susceptibility genes with pathogenic potential. We propose that variant associations with quantitative endophenotypes for monogenic diseases can provide evidence supporting pathogenicity.

Assessing Age-Specific Vaccination Strategies And Post-Vaccination Reopening Policies For Covid-19 Control Using Seir Modeling Approach, Xia Wang, Hulin Wu, Sanyi Tang

Faculty, Staff and Student Publications

As the availability of COVID-19 vaccines, it is badly needed to develop vaccination guidelines to prioritize the vaccination delivery in order to effectively stop COVID-19 epidemic and minimize the loss. We evaluated the effect of age-specific vaccination strategies on the number of infections and deaths using an SEIR model, considering the age structure and social contact patterns for different age groups for each of different countries. In general, the vaccination priority should be given to those younger people who are active in social contacts to minimize the number of infections, while the vaccination priority should be given to the elderly …

Fundamentals Of Arterial Blood Gas Interpretation, Jerry Yee, Stan Frinak, Naushaba Mohiuddin, Junior Uduman

Nephrology Articles

Acid-base disturbances in patients with cardiopulmonary or other disorders are common and are often misinterpreted or interpreted incompletely. Treating acid-base disorders in greater detail facilitates pathophysiologic understanding and improved therapeutic planning. Understanding the ratiometric relationship between the lungs, which excrete volatile acid as carbon dioxide, and the kidneys, which contribute to maintenance of plasma bicarbonate, allows precise identification of the dominant acid-base disturbance when more than a simple disorder is present and aids in executing a measured treatment response. Concordantly, mapping paired values of the partial pressure of carbon dioxide (PCO2) and the bicarbonate concentration ([HCO3^–]) on a …

Controlling Multiple Covid-19 Epidemic Waves: An Insight From A Multi-Scale Model Linking The Behaviour Change Dynamics To The Disease Transmission Dynamics, Biao Tang, Weike Zhou, Xia Wang, Hulin Wu, Yanni Xiao

Faculty, Staff and Student Publications

COVID-19 epidemics exhibited multiple waves regionally and globally since 2020. It is important to understand the insight and underlying mechanisms of the multiple waves of COVID-19 epidemics in order to design more efficient non-pharmaceutical interventions (NPIs) and vaccination strategies to prevent future waves. We propose a multi-scale model by linking the behaviour change dynamics to the disease transmission dynamics to investigate the effect of behaviour dynamics on COVID-19 epidemics using game theory. The proposed multi-scale models are calibrated and key parameters related to disease transmission dynamics and behavioural dynamics with/without vaccination are estimated based on COVID-19 epidemic data (daily reported …

Immuno-Genomic Profiling Of Biopsy Specimens Predicts Neoadjuvant Chemotherapy Response In Esophageal Squamous Cell Carcinoma, Shota Sasagawa, Hiroaki Kato, Koji Nagaoka, Changbo Sun, Motohiro Imano, Takao Sato, Todd A Johnson, Masashi Fujita, Kazuhiro Maejima, Yuki Okawa, Kazuhiro Kakimi, Takushi Yasuda, Hidewaki Nakagawa

Faculty, Staff and Student Publications

Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive cancers and is primarily treated with platinum-based neoadjuvant chemotherapy (NAC). Some ESCCs respond well to NAC. However, biomarkers to predict NAC sensitivity and their response mechanism in ESCC remain unclear. We perform whole-genome sequencing and RNA sequencing analysis of 141 ESCC biopsy specimens before NAC treatment to generate a machine-learning-based diagnostic model to predict NAC reactivity in ESCC and analyzed the association between immunogenomic features and NAC response. Neutrophil infiltration may play an important role in ESCC response to NAC. We also demonstrate that specific copy-number alterations and copy-number …

Secure Human Action Recognition By Encrypted Neural Network Inference, Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, Shayan Shams

Faculty, Staff and Student Publications

Advanced computer vision technology can provide near real-time home monitoring to support "aging in place" by detecting falls and symptoms related to seizures and stroke. Affordable webcams, together with cloud computing services (to run machine learning algorithms), can potentially bring significant social benefits. However, it has not been deployed in practice because of privacy concerns. In this paper, we propose a strategy that uses homomorphic encryption to resolve this dilemma, which guarantees information confidentiality while retaining action detection. Our protocol for secure inference can distinguish falls from activities of daily living with 86.21% sensitivity and 99.14% specificity, with an average …

Measuring And Controlling Medical Record Abstraction (Mra) Error Rates In An Observational Study, Maryam Y Garza, Tremaine Williams, Sahiti Myneni, Susan H Fenton, Songthip Ounpraseuth, Zhuopei Hu, Jeannette Lee, Jessica Snowden, Meredith N Zozus, Anita C Walden, Alan E Simon, Barbara Mcclaskey, Sarah G Sanders, Sandra S Beauman, Sara R Ford, Lacy Malloch, Amy Wilson, Lori A Devlin, Leslie W Young

Faculty, Staff and Student Publications

BACKGROUND: Studies have shown that data collection by medical record abstraction (MRA) is a significant source of error in clinical research studies relying on secondary use data. Yet, the quality of data collected using MRA is seldom assessed. We employed a novel, theory-based framework for data quality assurance and quality control of MRA. The objective of this work is to determine the potential impact of formalized MRA training and continuous quality control (QC) processes on data quality over time.

METHODS: We conducted a retrospective analysis of QC data collected during a cross-sectional medical record review of mother-infant dyads with Neonatal …

Muscle And Adipose Tissue Segmentations At The Third Cervical Vertebral Level In Patients With Head And Neck Cancer, Kareem A Wahid, Brennan Olson, Rishab Jain, Aaron J Grossberg, Dina El-Habashy, Cem Dede, Vivian Salama, Moamen Abobakr, Abdallah S R Mohamed, Renjie He, Joel Jaskari, Jaakko Sahlsten, Kimmo Kaski, Clifton D Fuller, Mohamed A Naser

Faculty, Staff and Student Publications

The accurate determination of sarcopenia is critical for disease management in patients with head and neck cancer (HNC). Quantitative determination of sarcopenia is currently dependent on manually-generated segmentations of skeletal muscle derived from computed tomography (CT) cross-sectional imaging. This has prompted the increasing utilization of machine learning models for automated sarcopenia determination. However, extant datasets currently do not provide the necessary manually-generated skeletal muscle segmentations at the C3 vertebral level needed for building these models. In this data descriptor, a set of 394 HNC patients were selected from The Cancer Imaging Archive, and their skeletal muscle and adipose tissue was …

Sex And Gender Differences In Symptoms Of Early Psychosis: A Systematic Review And Meta-Analysis, Brooke Carter, Jared Wootten, Suzanne Archie, Amanda L Terry, Kelly K. Anderson

Epidemiology and Biostatistics Publications

First-episode psychosis (FEP) can be quite variable in clinical presentation, and both sex and gender may account for some of this variability. Prior literature on sex or gender differences in symptoms of psychosis have been inconclusive, and a comprehensive summary of evidence on the early course of illness is lacking. The objective of this study was to conduct a systematic review and meta-analysis of the literature to summarize prior evidence on the sex and gender differences in the symptoms of early psychosis. We conducted an electronic database search (MEDLINE, Scopus, PsycINFO, and CINAHL) from 1990 to present to identify quantitative …

Building Consensus For A Shared Definition Of Adverse Events: A Case Study In The Profession Of Dentistry, Amy Franklin, Elsbeth Kalenderian, Nutan Hebballi, Veronique Delattre, Jini Etoule, Joel White, Ram Vaderhobli, Denice Stewart, Karla Kent, Alfa Yansane, Muhammad Walji

Faculty, Staff and Student Publications

BACKGROUND: To achieve high-quality health care, adverse events (AEs) must be proactively recognized and mitigated. However, there is often ambiguity in applying guidelines and definitions. We describe the iterative calibration process needed to achieve a shared definition of AEs in dentistry. Our alignment process includes both independent and consensus building approaches.

OBJECTIVE: We explore the process of defining dental AEs and the steps necessary to achieve alignment across different care providers.

METHODS: Teams from 4 dental institutions across the United States iteratively reviewed patient records after identification of charts using an automated trigger tool. Calibration across teams was supported through …

Charting The Proteome Landscape In Major Psychiatric Disorders: From Biomarkers To Biological Pathways Towards Drug Discovery, Brisa S Fernandes, Yulin Dai, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

Schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD) are major mental disorders that affect a significant proportion of the global population. Advancing our knowledge of the pathophysiology of these disorders and identifying biomarkers are urgent needs for developing objective diagnostic tests and new therapeutics. In this study, we performed a systematic review and then extracted, curated, and analyzed proteomics data from published studies, aiming to assess the proteome in peripheral blood of individuals with SZ, BD, or MDD. Then, we performed pathway and network analyses to illuminate the biological themes concatenated by the differentially expressed proteins by systematically …

Real-World Matching Performance Of Deidentified Record-Linking Tokens, Elmer V Bernstam, Reuben Joseph Applegate, Alvin Yu, Deepa Chaudhari, Tian Liu, Alex Coda, Jonah Leshin

Faculty, Staff and Student Publications

OBJECTIVE: Our objective was to evaluate tokens commonly used by clinical research consortia to aggregate clinical data across institutions.

METHODS: This study compares tokens alone and token-based matching algorithms against manual annotation for 20,002 record pairs extracted from the University of Texas Houston's clinical data warehouse (CDW) in terms of entity resolution.

RESULTS: The highest precision achieved was 99.9% with a token derived from the first name, last name, gender, and date-of-birth. The highest recall achieved was 95.5% with an algorithm involving tokens that reflected combinations of first name, last name, gender, date-of-birth, and social security number.

DISCUSSION: To protect …

Development Of A Quality Improvement Dental Chart Review Training Program, Elsbeth Kalenderian, Nutan B Hebballi, Amy Franklin, Alfa Yansane, Ana M Ibarra Noriega, Joel White, Muhammad F Walji

Faculty, Staff and Student Publications

INTRODUCTION: Chart review is central to understanding adverse events (AEs) in medicine. In this article, we describe the process and results of educating chart reviewers assigned to evaluate dental AEs.

METHODS: We developed a Web-based training program, "Dental Patient Safety Training," which uses both independent and consensus-based curricula, for identifying AEs recorded in electronic health records in the dental setting. Training included (1) didactic education, (2) skills training using videos and guided walkthroughs, (3) quizzes with feedback, and (4) hands-on learning exercises. In addition, novice reviewers were coached weekly during consensus review discussions. TeamExpert was composed of 2 experienced reviewers, …

The University Of Pennsylvania Glioblastoma (Upenn-Gbm) Cohort: Advanced Mri, Clinical, Genomics, & Radiomics, Spyridon Bakas, Aristeidis Sotiras, Sung Min Ha, Et Al

2020-Current year OA Pubs

Glioblastoma is the most common aggressive adult brain tumor. Numerous studies have reported results from either private institutional data or publicly available datasets. However, current public datasets are limited in terms of: a) number of subjects, b) lack of consistent acquisition protocol, c) data quality, or d) accompanying clinical, demographic, and molecular information. Toward alleviating these limitations, we contribute the "University of Pennsylvania Glioblastoma Imaging, Genomics, and Radiomics" (UPenn-GBM) dataset, which describes the currently largest publicly available comprehensive collection of 630 patients diagnosed with de novo glioblastoma. The UPenn-GBM dataset includes (a) advanced multi-parametric magnetic resonance imaging scans acquired during …

Whole Genome Sequence Association Analysis Of Fasting Glucose And Fasting Insulin Levels In Diverse Cohorts From The Nhlbi Topmed Program, Daniel Dicorpo, Sheila M Gaynor, Emily M Russell, Kenneth E Westerman, Laura M Raffield, Timothy D Majarian, Peitao Wu, Chloé Sarnowski, Heather M Highland, Anne Jackson, Natalie R Hasbani, Paul S De Vries, Jennifer A Brody, Bertha Hidalgo, Xiuqing Guo, James A Perry, Jeffrey R O'Connell, Samantha Lent, May E Montasser, Brian E Cade, Deepti Jain, Heming Wang, Ricardo D'Oliveira Albanus, Arushi Varshney, Lisa R Yanek, Leslie Lange, Nicholette D Palmer, Marcio Almeida, Juan M Peralta, Stella Aslibekyan, Abigail S Baldridge, Alain G Bertoni, Lawrence F Bielak, Chung-Shiuan Chen, Yii-Der Ida Chen, Won Jung Choi, Mark O Goodarzi, James S Floyd, Marguerite R Irvin, Rita R Kalyani, Tanika N Kelly, Seonwook Lee, Ching-Ti Liu, Douglas Loesch, Joann E Manson, Ryan L Minster, Take Naseri, James S Pankow, Laura J Rasmussen-Torvik, Alexander P Reiner, Muagututi'a Sefuiva Reupena, Elizabeth Selvin, Jennifer A Smith, Daniel E Weeks, Huichun Xu, Jie Yao, Wei Zhao, Stephen Parker, Alvaro Alonso, Donna K Arnett, John Blangero, Eric Boerwinkle, Adolfo Correa, L Adrienne Cupples, Joanne E Curran, Ravindranath Duggirala, Jiang He, Susan R Heckbert, Sharon L R Kardia, Ryan W Kim, Charles Kooperberg, Simin Liu, Rasika A Mathias, Stephen T Mcgarvey, Braxton D Mitchell, Alanna C Morrison, Patricia A Peyser, Bruce M Psaty, Susan Redline, Alan R Shuldiner, Kent D Taylor, Ramachandran S Vasan, Karine A Viaud-Martinez, Jose C Florez, James G Wilson, Robert Sladek, Stephen S Rich, Jerome I Rotter, Xihong Lin, Josée Dupuis, James B Meigs, Jennifer Wessel, Alisa K Manning

Faculty, Staff and Student Publications

The genetic determinants of fasting glucose (FG) and fasting insulin (FI) have been studied mostly through genome arrays, resulting in over 100 associated variants. We extended this work with high-coverage whole genome sequencing analyses from fifteen cohorts in NHLBI's Trans-Omics for Precision Medicine (TOPMed) program. Over 23,000 non-diabetic individuals from five race-ethnicities/populations (African, Asian, European, Hispanic and Samoan) were included. Eight variants were significantly associated with FG or FI across previously identified regions MTNR1B, G6PC2, GCK, GCKR and FOXA2. We additionally characterize suggestive associations with FG or FI near previously identified SLC30A8, TCF7L2, and ADCY5 regions as well as APOB, …

Influenza Activity And Composition Of The 2022-23 Influenza Vaccine - United States, 2021-22 Season, Angiezel Merced-Morales, Peter Daly, Anwar Isa Abd Elal, Noreen Ajayi, Ekow Annan, Alicia Budd, John Barnes, Arielle Colon, Charisse N Cummings, A Danielle Iuliano, Juliana Dasilva, Nick Dempster, Shikha Garg, Larisa Gubareva, Daneisha Hawkins, Amanda Howa, Stacy Huang, Marie Kirby, Krista Kniss, Rebecca Kondor, Jimma Liddell, Shunte Moon, Ha T Nguyen, Alissa O'Halloran, Catherine Smith, Thomas Stark, Katie Tastad, Dawud Ujamaa, Dave E Wentworth, Alicia M Fry, Vivien G Dugan, Lynnette Brammer

Faculty, Staff and Student Publications

Before the emergence of SARS-CoV-2, the virus that causes COVID-19, influenza activity in the United States typically began to increase in the fall and peaked in February. During the 2021-22 season, influenza activity began to increase in November and remained elevated until mid-June, featuring two distinct waves, with A(H3N2) viruses predominating for the entire season. This report summarizes influenza activity during October 3, 2021-June 11, 2022, in the United States and describes the composition of the Northern Hemisphere 2022-23 influenza vaccine. Although influenza activity is decreasing and circulation during summer is typically low, remaining vigilant for influenza infections, performing testing …