Literature DB >> 29846728

Chemical-Induced Phenotypes at CTD Help Inform the Predisease State and Construct Adverse Outcome Pathways.

Allan Peter Davis1, Thomas C Wiegers1, Jolene Wiegers1, Robin J Johnson1, Daniela Sciaky1, Cynthia J Grondin1, Carolyn J Mattingly1,2.   

Abstract

The Comparative Toxicogenomics Database (CTD; http://ctdbase.org) is a public resource that manually curates the scientific literature to provide content that illuminates the molecular mechanisms by which environmental exposures affect human health. We introduce our new chemical-phenotype module that describes how chemicals can affect molecular, cellular, and physiological phenotypes. At CTD, we operationally distinguish between phenotypes and diseases, wherein a phenotype refers to a nondisease biological event: eg, decreased cell cycle arrest (phenotype) versus liver cancer (disease), increased fat cell proliferation (phenotype) versus morbid obesity (disease), etc. Chemical-phenotype interactions are expressed in a formal structured notation using controlled terms for chemicals, phenotypes, taxon, and anatomical descriptors. Combining this information with CTD's chemical-disease module allows inferences to be made between phenotypes and diseases, yielding potential insight into the predisease state. Integration of all 4 CTD modules furnishes unique opportunities for toxicologists to generate computationally predictive adverse outcome pathways, linking chemical-gene molecular initiating events with phenotypic key events, adverse diseases, and population-level health outcomes. As examples, we present 3 diverse case studies discerning the effect of vehicle emissions on altered leukocyte migration, the role of cadmium in influencing phenotypes preceding Alzheimer disease, and the connection of arsenic-induced glucose metabolic phenotypes with diabetes. To date, CTD contains over 165 000 interactions that connect more than 6400 chemicals to 3900 phenotypes for 760 anatomical terms in 215 species, from over 19 000 scientific articles. To our knowledge, this is the first comprehensive set of manually curated, literature-based, contextualized, chemical-induced, nondisease phenotype data provided to the public.

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Year:  2018        PMID: 29846728      PMCID: PMC6111787          DOI: 10.1093/toxsci/kfy131

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  43 in total

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2.  A Data Fusion Pipeline for Generating and Enriching Adverse Outcome Pathway Descriptions.

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Journal:  Toxicol Sci       Date:  2018-03-01       Impact factor: 4.849

Review 3.  Heavy Metal Exposure and Metabolic Syndrome: Evidence from Human and Model System Studies.

Authors:  Antonio Planchart; Adrian Green; Cathrine Hoyo; Carolyn J Mattingly
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4.  Human Environmental Disease Network: A computational model to assess toxicology of contaminants.

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5.  The curation paradigm and application tool used for manual curation of the scientific literature at the Comparative Toxicogenomics Database.

Authors:  Allan Peter Davis; Thomas C Wiegers; Michael C Rosenstein; Cynthia G Murphy; Carolyn J Mattingly
Journal:  Database (Oxford)       Date:  2011-09-20       Impact factor: 3.451

6.  The Comparative Toxicogenomics Database facilitates identification and understanding of chemical-gene-disease associations: arsenic as a case study.

Authors:  Allan P Davis; Cynthia G Murphy; Michael C Rosenstein; Thomas C Wiegers; Carolyn J Mattingly
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7.  The Comparative Toxicogenomics Database's 10th year anniversary: update 2015.

Authors:  Allan Peter Davis; Cynthia J Grondin; Kelley Lennon-Hopkins; Cynthia Saraceni-Richards; Daniela Sciaky; Benjamin L King; Thomas C Wiegers; Carolyn J Mattingly
Journal:  Nucleic Acids Res       Date:  2014-10-17       Impact factor: 16.971

8.  Finding our way through phenotypes.

Authors:  Andrew R Deans; Suzanna E Lewis; Eva Huala; Salvatore S Anzaldo; Michael Ashburner; James P Balhoff; David C Blackburn; Judith A Blake; J Gordon Burleigh; Bruno Chanet; Laurel D Cooper; Mélanie Courtot; Sándor Csösz; Hong Cui; Wasila Dahdul; Sandip Das; T Alexander Dececchi; Agnes Dettai; Rui Diogo; Robert E Druzinsky; Michel Dumontier; Nico M Franz; Frank Friedrich; George V Gkoutos; Melissa Haendel; Luke J Harmon; Terry F Hayamizu; Yongqun He; Heather M Hines; Nizar Ibrahim; Laura M Jackson; Pankaj Jaiswal; Christina James-Zorn; Sebastian Köhler; Guillaume Lecointre; Hilmar Lapp; Carolyn J Lawrence; Nicolas Le Novère; John G Lundberg; James Macklin; Austin R Mast; Peter E Midford; István Mikó; Christopher J Mungall; Anika Oellrich; David Osumi-Sutherland; Helen Parkinson; Martín J Ramírez; Stefan Richter; Peter N Robinson; Alan Ruttenberg; Katja S Schulz; Erik Segerdell; Katja C Seltmann; Michael J Sharkey; Aaron D Smith; Barry Smith; Chelsea D Specht; R Burke Squires; Robert W Thacker; Anne Thessen; Jose Fernandez-Triana; Mauno Vihinen; Peter D Vize; Lars Vogt; Christine E Wall; Ramona L Walls; Monte Westerfeld; Robert A Wharton; Christian S Wirkner; James B Woolley; Matthew J Yoder; Aaron M Zorn; Paula Mabee
Journal:  PLoS Biol       Date:  2015-01-06       Impact factor: 8.029

9.  How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.

Authors:  Clemens Wittwehr; Hristo Aladjov; Gerald Ankley; Hugh J Byrne; Joop de Knecht; Elmar Heinzle; Günter Klambauer; Brigitte Landesmann; Mirjam Luijten; Cameron MacKay; Gavin Maxwell; M E Bette Meek; Alicia Paini; Edward Perkins; Tomasz Sobanski; Dan Villeneuve; Katrina M Waters; Maurice Whelan
Journal:  Toxicol Sci       Date:  2016-12-19       Impact factor: 4.849

10.  Accessing an Expanded Exposure Science Module at the Comparative Toxicogenomics Database.

Authors:  Cynthia J Grondin; Allan Peter Davis; Thomas C Wiegers; Jolene A Wiegers; Carolyn J Mattingly
Journal:  Environ Health Perspect       Date:  2018-01-18       Impact factor: 9.031

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  15 in total

1.  Leveraging the Comparative Toxicogenomics Database to Fill in Knowledge Gaps for Environmental Health: A Test Case for Air Pollution-induced Cardiovascular Disease.

Authors:  Allan Peter Davis; Thomas C Wiegers; Cynthia J Grondin; Robin J Johnson; Daniela Sciaky; Jolene Wiegers; Carolyn J Mattingly
Journal:  Toxicol Sci       Date:  2020-10-01       Impact factor: 4.849

2.  A cross-sector call to improve carcinogenicity risk assessment through use of genomic methodologies.

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3.  Public data sources to support systems toxicology applications.

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4.  A Novel Genes Signature Associated with the Progression of Polycystic Ovary Syndrome.

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5.  Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library.

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Journal:  Int J Mol Sci       Date:  2019-09-30       Impact factor: 5.923

6.  Linking Bisphenol S to Adverse Outcome Pathways Using a Combined Text Mining and Systems Biology Approach.

Authors:  Jean-Charles Carvaillo; Robert Barouki; Xavier Coumoul; Karine Audouze
Journal:  Environ Health Perspect       Date:  2019-04       Impact factor: 9.031

Review 7.  A State-of-the-Science Review of Arsenic's Effects on Glucose Homeostasis in Experimental Models.

Authors:  Felicia Castriota; Linda Rieswijk; Sarah Dahlberg; Michele A La Merrill; Craig Steinmaus; Martyn T Smith; Jen-Chywan Wang
Journal:  Environ Health Perspect       Date:  2020-01-03       Impact factor: 9.031

8.  Deciphering Adverse Outcome Pathway Network Linked to Bisphenol F Using Text Mining and Systems Toxicology Approaches.

Authors:  Marylène Rugard; Xavier Coumoul; Jean-Charles Carvaillo; Robert Barouki; Karine Audouze
Journal:  Toxicol Sci       Date:  2020-01-01       Impact factor: 4.849

9.  The Comparative Toxicogenomics Database: update 2019.

Authors:  Allan Peter Davis; Cynthia J Grondin; Robin J Johnson; Daniela Sciaky; Roy McMorran; Jolene Wiegers; Thomas C Wiegers; Carolyn J Mattingly
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

Review 10.  Beyond the looking glass: recent advances in understanding the impact of environmental exposures on neuropsychiatric disease.

Authors:  Jonathan A Hollander; Deborah A Cory-Slechta; Felice N Jacka; Steven T Szabo; Tomás R Guilarte; Staci D Bilbo; Carolyn J Mattingly; Sheryl S Moy; Ebrahim Haroon; Mady Hornig; Edward D Levin; Mikhail V Pletnikov; Julia L Zehr; Kimberly A McAllister; Anika L Dzierlenga; Amanda E Garton; Cindy P Lawler; Christine Ladd-Acosta
Journal:  Neuropsychopharmacology       Date:  2020-02-28       Impact factor: 8.294

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