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Prioritisation and Risk Evaluation of Medicines in the EnviRonment

Rezultaty

API prioritisation and selection for iterative assessment (D1.2.1)

This report describes the selection process of approximately 15 APIs that will be tested in WP13 because of a lack of data to conclude on the potential for environmental risk This includes a description of the original API list considered the decision trees used for prioritisation the prioritisation results the criteria used for API selection and the ultimate results of the selection process

Report on stakeholder questions and requirements and work plan for further guidance development (D4.1.1)

Report on the stakeholder questions and requirements as identified during interviews and webbased questionnaire the results of the workshop the identified possible guidance products and the work plan for further guidance development

Report summarising drug discovery and development process and key attributes of tools/models (D4.2.1)

Report highlighting a clear understanding where environmental hazard and risk are currently considered in the drug development process and where future potential exists for earlier integration of these considerations together with the attributes required for environmental screening tools models

List of approximately 10 APIs selected for MoA-driven testing in WP1.3 (D1.1.2)

This report describes the selection process of approximately 10 APIs that will be tested in WP13 because of a lack of ecotoxicity data on their specific Mode of Action This includes a description of how the universe of APIs was compiled the decision trees the prioritisation results the criteria used for API selection and the final results

Project communication plan and initial toolset

A plan for dissemination that includes the communication objectives, target audiences, activities to be carried out and tools that will support their implementation, with connections among these components. It will also include an initial set of communication materials.

Initial Data and Knowledge Management plan (D3.3.2)

Outline for the PREMIER data and knowledge management policy.

Evaluation of the risk for bio-accumulation of APIs in fish via irreversible inhibition of hepatic CYPs (D2.3.2)

The ability of selected APIs to irreversibly inhibit CYP enzyme activity will be quantified (IC50 shift) using rainbow trout RT-S9 and well-plate technologies.

Summary report describing fundamental drug design principles and their environmental significance (D4.2.2)

onsensus document that describes industrywide principles used to design safe and efficacious medicines

Inventory of APIs on the European market together with important ecotox, phys/chem and consumption data (D1.1.1)

All known APIs in use in Europe have been entered into the PREMIER database in collaboration with WP3.1. Additionally, data on name(s), CAS-No, IUPAC International Chemical Identifier (InChI), ATC classification, therapeutic plasma concentration, defined daily doses, usage, therapeutic MoA, physico-chemical properties and ecotoxicity, as far as available at this point in time, have been added to the PREMIER database.

PREMIER ERA database architecture agreed and established (D3.1.1)

An initial structure of the database will be agreed between partners to capture APIs authorised for use in Europe and facilitate the upload of existing environmental data.

Integration of existing GLP study data from industry partners and EPAR data (D3.1.3)

Existing GLP study data from industry partners and EPAR data from the EMA website will be uploaded using agreed templates and used to populate the PREMIER database. The templates will be designed specifically for each study so that they enable summary reports to be generated that meet the need of the wider stakeholder community.

Publikacje

GREENER Pharmaceuticals for More Sustainable Healthcare

Autorzy: Caroline T. A. Moermond, Neele Puhlmann, A. Ross Brown, Stewart F. Owen, Jim Ryan, Jason Snape, Bastiaan J. Venhuis, and Klaus Kümmerer
Opublikowane w: Environmental Science and Technology Letters, Numer 23288930, 2022, ISSN 2328-8930
Wydawca: ACS (American Chemical Society) Publications
DOI: 10.1021/acs.estlett.2c00446

Systematic Handling of Environmental Fate Data for Model Development─Illustrated for the Case of Biodegradation Half-Life Data

Autorzy: Jasmin Hafner, Kathrin Fenner, and Andreas Scheidegger
Opublikowane w: Environmental Science & Technology Letters, 2023, ISSN 0000-0000
Wydawca: Environmental Science & Technology Letters
DOI: 10.1021/acs.estlett.3c00526

Combining predictive and analytical methods to elucidate pharmaceutical biotransformation in activated sludge

Autorzy: Leo Trostel, Claudia Coll, Kathrin Fenner, and Jasmin Hafner
Opublikowane w: Environmental Science: Processes & Impacts, 2023, ISSN 0000-0000
Wydawca: Environmental Science: Processes & Impacts
DOI: 10.1039/d3em00161j

Minimizing Experimental Testing on Fish for Legacy Pharmaceuticals

Autorzy: Anja Coors, A. Ross Brown, Samual K Maynard, Alison Nimrod Perkins, Stewart Owen, Charles R Tyler
Opublikowane w: ACS publications, 2023, ISSN 0000-0000
Wydawca: American Chemical Society
DOI: 10.1021/acs.est.2c07222

Designing greener active pharmaceutical ingredients: Insights from pharmaceutical industry into drug discovery and development

Autorzy: Neele Puhlmann, Rodrigo Vidaurre, Klaus Kümmerer
Opublikowane w: European Journal of Pharmaceutical Sciences, Numer Volume 192, 1 January 2024, 106614, 2023, ISSN 0928-0987
Wydawca: Elsevier BV
DOI: 10.1016/j.ejps.2023.106614

A Generalized Physiologically Based Kinetic Model for Fish for Environmental Risk Assessment of Pharmaceuticals

Autorzy: Jiaqi Wang, Tom M. Nolte, Stewart F. Owen, Rémy Beaudouin, A. Jan Hendriks, and Ad M.J. Ragas
Opublikowane w: Environmental Science & Technology, Numer 0013936X, 2022, ISSN 0013-936X
Wydawca: American Chemical Society
DOI: 10.1021/acs.est.1c08068

Factors Determining the Susceptibility of Fish to Effects of Human Pharmaceuticals

Autorzy: Chrisna Matthee, Andrew Ross Brown, Anke Lange, and Charles R. Tyler
Opublikowane w: Environmental Science & Technology, 2023
Wydawca: ACS Publications
DOI: 10.1021/acs.est.2c09576

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