NDLI: Prioritization of pharmaceuticals for potential environmental hazard through leveraging a large-scale mammalian pharmacological dataset.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Berninger, Jason P. LaLone, Carlie A. Villeneuve, Daniel L. Ankley, Gerald T.
Spatial Coverage	United States
Description	Country affiliation: United States Author Affiliation: Berninger JP ( National Research Council, US Environmental Protection Agency, Duluth, Minnesota, USA.); LaLone CA ( Water Resources Center, College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, St. Paul, Minnesota, USA.); Villeneuve DL ( Office of Research and Development, National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, US Environmental Protection Agency, Duluth, Minnesota, USA.); Ankley GT ( Office of Research and Development, National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, US Environmental Protection Agency, Duluth, Minnesota, USA.)
Abstract	The potential for pharmaceuticals in the environment to cause adverse ecological effects is of increasing concern. Given the thousands of active pharmaceutical ingredients (APIs) that can enter the aquatic environment through human and/or animal (e.g., livestock) waste, a current challenge in aquatic toxicology is identifying those that pose the greatest risk. Because empirical toxicity information for aquatic species is generally lacking for pharmaceuticals, an important data source for prioritization is that generated during the mammalian drug development process. Applying concepts of species read-across, mammalian pharmacokinetic data were used to systematically prioritize APIs by estimating their potential to cause adverse biological consequences to aquatic organisms, using fish as an example. Mammalian absorption, distribution, metabolism, and excretion (ADME) data (e.g., peak plasma concentration, apparent volume of distribution, clearance rate, and half-life) were collected and curated, creating the Mammalian Pharmacokinetic Prioritization For Aquatic Species Targeting (MaPPFAST) database representing 1070 APIs. From these data, a probabilistic model and scoring system were developed and evaluated. Individual APIs and therapeutic classes were ranked based on clearly defined read-across assumptions for translating mammalian-derived ADME parameters to estimate potential hazard in fish (i.e., greatest predicted hazard associated with lowest mammalian peak plasma concentrations, total clearance and highest volume of distribution, half-life). It is anticipated that the MaPPFAST database and the associated API prioritization approach will help guide research and/or inform ecological risk assessment.
File Format	HTM / HTML
ISSN	07307268
Issue Number	4
Volume Number	35
e-ISSN	15528618
Journal	Environmental Toxicology and Chemistry
Language	English
Publisher	Wiley
Publisher Date	2016-04-01
Publisher Place	United States
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Water Pollutants, Chemical Risk Assessment Species Specificity Toxicity United States Discipline Environmental Health Humans Probability Discipline Toxicology Hazardous Substances Metabolism Mammals Journal Article Aquatic Organisms Drug-related Side Effects And Adverse Reactions Animals Fishes Discipline Chemistry Pharmaceutical Preparations Half-life Pharmacokinetics Databases, Factual
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Health, Toxicology and Mutagenesis

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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