Medicine and Health Sciences Commons^™

Molecular Estimation Of Neurodegeneration Pseudotime In Older Brains., Sumit Mukherjee, Laura Heath, Christoph Preuss, Suman Jayadev, Gwenn A Garden, Anna K Greenwood, Solveig K Sieberts, Philip L De Jager, Nilüfer Ertekin-Taner, Gregory W. Carter, Lara M Mangravite, Benjamin A Logsdon

Faculty Research 2020

The temporal molecular changes that lead to disease onset and progression in Alzheimer's disease (AD) are still unknown. Here we develop a temporal model for these unobserved molecular changes with a manifold learning method applied to RNA-Seq data collected from human postmortem brain samples collected within the ROS/MAP and Mayo Clinic RNA-Seq studies. We define an ordering across samples based on their similarity in gene expression and use this ordering to estimate the molecular disease stage-or disease pseudotime-for each sample. Disease pseudotime is strongly concordant with the burden of tau (Braak score, P = 1.0 × 10-5), Aβ (CERAD score, …

Representation Of Ehr Data For Predictive Modeling: A Comparison Between Umls And Other Terminologies., Laila Rasmy, Firat Tiryaki, Yujia Zhou, Yang Xiang, Cui Tao, Hua Xu, Degui Zhi

Journal Articles

OBJECTIVE: Predictive disease modeling using electronic health record data is a growing field. Although clinical data in their raw form can be used directly for predictive modeling, it is a common practice to map data to standard terminologies to facilitate data aggregation and reuse. There is, however, a lack of systematic investigation of how different representations could affect the performance of predictive models, especially in the context of machine learning and deep learning.

MATERIALS AND METHODS: We projected the input diagnoses data in the Cerner HealthFacts database to Unified Medical Language System (UMLS) and 5 other terminologies, including CCS, CCSR, …

Genetic Variant Effects On Gene Expression In Human Pancreatic Islets And Their Implications For T2d., Ana Viñuela, Arushi Varshney, Martijn Van De Bunt, Rashmi B Prasad, Olof Asplund, Amanda Bennett, Michael Boehnke, Andrew A Brown, Michael R Erdos, João Fadista, Ola Hansson, Gad Hatem, Cédric Howald, Apoorva K Iyengar, Paul Johnson, Ulrika Krus, Patrick E Macdonald, Anubha Mahajan, Jocelyn E Manning Fox, Narisu Narisu, Vibe Nylander, Peter Orchard, Nikolay Oskolkov, Nikolaos I Panousis, Anthony Payne, Michael L. Stitzel, Swarooparani Vadlamudi, Ryan Welch, Francis S Collins, Karen L Mohlke, Anna L Gloyn, Laura J Scott, Emmanouil T Dermitzakis, Leif Groop, Stephen C J Parker, Mark I Mccarthy

Faculty Research 2020

Most signals detected by genome-wide association studies map to non-coding sequence and their tissue-specific effects influence transcriptional regulation. However, key tissues and cell-types required for functional inference are absent from large-scale resources. Here we explore the relationship between genetic variants influencing predisposition to type 2 diabetes (T2D) and related glycemic traits, and human pancreatic islet transcription using data from 420 donors. We find: (a) 7741 cis-eQTLs in islets with a replication rate across 44 GTEx tissues between 40% and 73%; (b) marked overlap between islet cis-eQTL signals and active regulatory sequences in islets, with reduced eQTL effect size observed in …

Prognostic Gene Expression Signature For High-Grade Serous Ovarian Cancer., J Millstein, T Budden, E L Goode, M S Anglesio, A Talhouk, M P Intermaggio, H S Leong, S Chen, W Elatre, B Gilks, T Nazeran, M Volchek, R C Bentley, C Wang, D S Chiu, S Kommoss, S C Y Leung, J Senz, A Lum, V Chow, H Sudderuddin, R Mackenzie, Joshy George, Aocs Group, S Fereday, J Hendley, N Traficante, H Steed, J M Koziak, M Köbel, I A Mcneish, T Goranova, D Ennis, G Macintyre, D Silva De Silva, T Ramón Y Cajal, J García-Donas, S Hernando Polo, G C Rodriguez, K L Cushing-Haugen, H R Harris, C S Greene, R A Zelaya, S Behrens, R T Fortner, P Sinn, E Herpel, J Lester, J Lubiński, O Oszurek, A Tołoczko, C Cybulski, J Menkiszak, C L Pearce, M C Pike, C Tseng, J Alsop, V Rhenius, H Song, M Jimenez-Linan, A M Piskorz, A Gentry-Maharaj, C Karpinskyj, M Widschwendter, N Singh, C J Kennedy, R Sharma, P R Harnett, B Gao, S E Johnatty, R Sayer, J Boros, S J Winham, G L Keeney, S H Kaufmann, M C Larson, H Luk, B Y Hernandez, P J Thompson, L R Wilkens, M E Carney, B Trabert, J Lissowska, L Brinton, M E Sherman, C Bodelon, S Hinsley, L A Lewsley, R Glasspool, S N Banerjee, E A Stronach, P Haluska, I Ray-Coquard, S Mahner, B Winterhoff, D Slamon, D A Levine, L E Kelemen, J Benitez, J Chang-Claude, J Gronwald, A H Wu, U Menon, M T Goodman, J M Schildkraut, N Wentzensen, R Brown, A Berchuck, G Chenevix-Trench, A Defazio, S A Gayther, M J García, M J Henderson, M A Rossing, A Beeghly-Fadiel, P A Fasching, S Orsulic, B Y Karlan, G E Konecny, D G Huntsman, D D Bowtell, J D Brenton, J A Doherty, P D P Pharoah, S J Ramus

Faculty Research 2020

BACKGROUND: Median overall survival (OS) for women with high-grade serous ovarian cancer (HGSOC) is ∼4 years, yet survival varies widely between patients. There are no well-established, gene expression signatures associated with prognosis. The aim of this study was to develop a robust prognostic signature for OS in patients with HGSOC.

PATIENTS AND METHODS: Expression of 513 genes, selected from a meta-analysis of 1455 tumours and other candidates, was measured using NanoString technology from formalin-fixed paraffin-embedded tumour tissue collected from 3769 women with HGSOC from multiple studies. Elastic net regularization for survival analysis was applied to develop a prognostic model for …

Dual Roles Of Neutrophils In Metastatic Colonization Are Governed By The Host Nk Cell Status., Peishan Li, Mingyang Lu, Jiayuan Shi, Li Hua, Zheng Gong, Qing Li, Leonard D. Shultz, Guangwen Ren

Faculty Research 2020

The role of neutrophils in solid tumor metastasis remains largely controversial. In preclinical models of solid tumors, both pro-metastatic and anti-metastatic effects of neutrophils have been reported. In this study, using mouse models of breast cancer, we demonstrate that the metastasis-modulating effects of neutrophils are dictated by the status of host natural killer (NK) cells. In NK cell-deficient mice, granulocyte colony-stimulating factor-expanded neutrophils show an inhibitory effect on the metastatic colonization of breast tumor cells in the lung. In contrast, in NK cell-competent mice, neutrophils facilitate metastatic colonization in the same tumor models. In an ex vivo neutrophil-NK cell-tumor cell …

Inter-Strain Epigenomic Profiling Reveals A Candidate Iap Master Copy In C3h Mice., Rita Rebollo, Mariana Galvão-Ferrarini, Liane Gagnier, Ying Zhang, Ardian Ferraj, Christine R Beck, Matthew C Lorincz, Dixie L Mager

Faculty Research 2020

Insertions of endogenous retroviruses cause a significant fraction of mutations in inbred mice but not all strains are equally susceptible. Notably, most new Intracisternal A particle (IAP) ERV mutagenic insertions have occurred in C3H mice. We show here that strain-specific insertional polymorphic IAPs accumulate faster in C3H/HeJ mice, relative to other sequenced strains, and that IAP transcript levels are higher in C3H/HeJ embryonic stem (ES) cells compared to other ES cells. To investigate the mechanism for high IAP activity in C3H mice, we identified 61 IAP copies in C3H/HeJ ES cells enriched with H3K4me3 (a mark of active promoters) and, …

Covid-19 Testnorm: A Tool To Normalize Covid-19 Testing Names To Loinc Codes., Xiao Dong, Jianfu Li, Ekin Soysal, Jiang Bian, Scott L Duvall, Elizabeth Hanchrow, Hongfang Liu, Kristine E Lynch, Michael Matheny, Karthik Natarajan, Lucila Ohno-Machado, Serguei Pakhomov, Ruth Madeleine Reeves, Amy M Sitapati, Swapna Abhyankar, Theresa Cullen, Jami Deckard, Xiaoqian Jiang, Robert Murphy, Hua Xu

Journal Articles

Large observational data networks that leverage routine clinical practice data in electronic health records (EHRs) are critical resources for research on coronavirus disease 2019 (COVID-19). Data normalization is a key challenge for the secondary use of EHRs for COVID-19 research across institutions. In this study, we addressed the challenge of automating the normalization of COVID-19 diagnostic tests, which are critical data elements, but for which controlled terminology terms were published after clinical implementation. We developed a simple but effective rule-based tool called COVID-19 TestNorm to automatically normalize local COVID-19 testing names to standard LOINC (Logical Observation Identifiers Names and Codes) …

Covid-19 Preclinical Models: Human Angiotensin-Converting Enzyme 2 Transgenic Mice., Cathleen Lutz, Leigh Maher, Charles Lee, Wonyoung Kang

Faculty Research 2020

Coronavirus disease 2019 (COVID-19) is a declared pandemic that is spreading all over the world at a dreadfully fast rate. Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the pathogen of COVID-19, infects the human body using angiotensin-converting enzyme 2 (ACE2) as a receptor identical to the severe acute respiratory syndrome (SARS) pandemic that occurred in 2002-2003. SARS-CoV-2 has a higher binding affinity to human ACE2 than to that of other species. Animal models that mimic the human disease are highly essential to develop therapeutics and vaccines against COVID-19. Here, we review transgenic mice that express human ACE2 in the airway and …

Selective Autophagy Maintains The Aryl Hydrocarbon Receptor Levels In Hela Cells: A Mechanism That Is Dependent On The P23 Co-Chaperone, Yujie Yang, William K. Chan

School of Pharmacy Faculty Articles

The aryl hydrocarbon receptor (AHR) is an environmental sensing molecule which impacts diverse cellular functions such as immune responses, cell growth, respiratory function, and hematopoietic stem cell differentiation. It is widely accepted that the degradation of AHR by 26S proteasome occurs after ligand activation. Recently, we discovered that HeLa cells can modulate the AHR levels via protein degradation without exogenous treatment of a ligand, and this degradation is particularly apparent when the p23 content is down-regulated. Inhibition of autophagy by a chemical agent (such as chloroquine, bafilomycin A1, or 3-methyladenine) increases the AHR protein levels in HeLa cells whereas activation …

Can Unconventional Immunomodulatory Agents Help Alleviate Covid-19 Symptoms And Severity?, Stephen W. Mamber, Steven Krakowka, Jeffrey L. Osborn, Lloyd Saberski, Ryan G. Rhodes, Albert E. Dahlberg, Sunthorn Pond-Tor, Kara Fitzgerald, Neal Wright, Sarah Beseme, John Mcmichael

Biology Faculty Publications

Severe acute respiratory syndrome coronavirus 2 (SARS coronavirus 2, or SARS-CoV-2) is the cause of the respiratory infection known as COVID-19. From an immunopathological standpoint, coronaviruses such as SARS-CoV-2 induce increased levels of a variety of T-helper 1 (Th1) and inflammatory cytokines and chemokines, including interleukin-1 (IL-1), IL-6, CCL2 protein, and CXCL10 protein. In the absence of proven antiviral agents or an effective vaccine, substances with immunomodulatory activity may be able to inhibit inflammatory and Th1 cytokines and/or yield an anti-inflammatory and/or Th2 immune response to counteract COVID-19 symptoms and severity. This report briefly describes the following four unconventional but …

Ten Simple Rules For Providing Effective Bioinformatics Research Support., Judit Kumuthini, Michael Chimenti, Sven Nahnsen, Alexander Peltzer, Rebone Meraba, Ross Mcfadyen, Gordon Wells, Deanne Taylor, Mark Maienschein-Cline, Jian-Liang Li, Jyothi Thimmapuram, Radha Murthy-Karuturi, Lyndon Zass

Faculty Research 2020

Life scientists are increasingly turning to high-throughput sequencing technologies in their research programs, owing to the enormous potential of these methods. In a parallel manner, the number of core facilities that provide bioinformatics support are also increasing. Notably, the generation of complex large datasets has necessitated the development of bioinformatics support core facilities that aid laboratory scientists with cost-effective and efficient data management, analysis, and interpretation. In this article, we address the challenges-related to communication, good laboratory practice, and data handling-that may be encountered in core support facilities when providing bioinformatics support, drawing on our own experiences working as support …

Bone Marrow Concentrate (Bmc) Therapy In Musculoskeletal Disorders: Evidence-Based Policy Position Statement Of American Society Of Interventional Pain Physicians (Asipp), Laxmaiah Manchikanti, Christopher J. Centeno, Sairam Atluri, Sheri L. Albers, Shane Shapiro, Gerard A. Malanga, Alaa Abd-Elsayed, Mairin Jerome, Joshua A. Hirsch, Alan David Kaye, Steve M. Aydin, Douglas Beall, Don Buford, Joanne Borg-Stein, Ricardo M. Buenaventura, Joseph A. Cabaret, Aaron K. Calodney, Kenneth D. Candido, Cameron Cartier, Richard Latchaw, Sudhir Diwan, Ehren Dodson, Zachary Fausel, Michael Fredericson, Christopher G. Gharibo, Mayank Gupta, Adam M. Kaye, Nebojsa Nick Knezevic, Radomir Kosanovic, Matthew Lucas, Maanasa V. Manchikanti, R. Amadeus Mason, Kenneth Mautner, Samuel Murala, Annu Navani, Vidyasagar Pampati, Sarah Pastoriza, Ramarao Pasupuleti, Cyril Philip, Mahendra R Sanapati, Theodore Sand, Rinoo V Shah, Amol Soin, Ian Stemper, Bradley W Wargo, Philippe Hernigou

School of Pharmacy Faculty Articles

BACKGROUND: The use of bone marrow concentrate (BMC) for treatment of musculoskeletal disorders has become increasingly popular over the last several years, as technology has improved along with the need for better solutions for these pathologies. The use of cellular tissue raises a number of issues regarding the US Food and Drug Administration's (FDA) regulation in classifying these treatments as a drug versus just autologous tissue transplantation. In the case of BMC in musculoskeletal and spine care, this determination will likely hinge on whether BMC is homologous to the musculoskeletal system and spine.

OBJECTIVES: The aim of this review is …

Deep Learning In Clinical Natural Language Processing: A Methodical Review., Stephen Wu, Kirk Roberts, Surabhi Datta, Jingcheng Du, Zongcheng Ji, Yuqi Si, Sarvesh Soni, Qiong Wang, Qiang Wei, Yang Xiang, Bo Zhao, Hua Xu

Journal Articles

OBJECTIVE: This article methodically reviews the literature on deep learning (DL) for natural language processing (NLP) in the clinical domain, providing quantitative analysis to answer 3 research questions concerning methods, scope, and context of current research.

MATERIALS AND METHODS: We searched MEDLINE, EMBASE, Scopus, the Association for Computing Machinery Digital Library, and the Association for Computational Linguistics Anthology for articles using DL-based approaches to NLP problems in electronic health records. After screening 1,737 articles, we collected data on 25 variables across 212 papers.

RESULTS: DL in clinical NLP publications more than doubled each year, through 2018. Recurrent neural networks (60.8%) …

Amylin As A Potential Link Between Type 2 Diabetes And Alzheimer Disease, Florin Despa, Larry B. Goldstein, Geert Jan Biessels

Pharmacology and Nutritional Sciences Faculty Publications

No abstract provided.

Digilego For Peripartum Depression: A Novel Patient-Facing Digital Health Instantiation, J Rodin, C Timko, S Harris

Journal Articles

Digital health technologies offer unique opportunities to improve health outcomes for mental health conditions such as peripartum depression (PPD), a disorder that affects approximately 10-15% of women in the U.S. every year. In this paper, we present the adaption of a digital technology development framework, Digilego, in the context of PPD. Methods include mapping of the Behavior Intervention Technology (BIT) model and the Patient Engagement Framework (PEF) to translate patient needs captured through focus groups. This informs formative development and implementation of digital health features for optimal patient engagement in PPD screening and management. Results show an array ofPPD-specific Digilego …