3
|
Clerbaux LA, Amigó N, Amorim MJ, Bal-Price A, Batista Leite S, Beronius A, Bezemer GFG, Bostroem AC, Carusi A, Coecke S, Concha R, Daskalopoulos EP, De Bernardi F, Edrosa E, Edwards SW, Filipovska J, Garcia-Reyero N, Gavins FNE, Halappanavar S, Hargreaves AJ, Hogberg HT, Huynh MT, Jacobson D, Josephs-Spaulding J, Kim YJ, Kong HJ, Krebs CE, Lam A, Landesmann B, Layton A, Lee YO, Macmillan DS, Mantovani A, Margiotta-Casaluci L, Martens M, Masereeuw R, Mayasich SA, Mei LM, Mortensen H, Munoz Pineiro A, Nymark P, Ohayon E, Ojasi J, Paini A, Parissis N, Parvatam S, Pistollato F, Sachana M, Sørli JB, Sullivan KM, Sund J, Tanabe S, Tsaioun K, Vinken M, Viviani L, Waspe J, Willett C, Wittwehr C. COVID-19 through Adverse Outcome Pathways: Building networks to better understand the disease - 3rd CIAO AOP Design Workshop. ALTEX 2022; 39:322–335. [PMID: 35032963 PMCID: PMC10069302 DOI: 10.14573/altex.2112161] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 12/17/2021] [Indexed: 02/07/2023]
Abstract
On April 28-29, 2021, 50 scientists from different fields of expertise met for the 3rd online CIAO workshop. The CIAO project “Modelling the Pathogenesis of COVID-19 using the Adverse Outcome Pathway (AOP) framework” aims at building a holistic assembly of the available scientific knowledge on COVID-19 using the AOP framework. An individual AOP depicts the disease progression from the initial contact with the SARS-CoV-2 virus through biological key events (KE) toward an adverse outcome such as respiratory distress, anosmia or multiorgan failure. Assembling the individual AOPs into a network highlights shared KEs as central biological nodes involved in multiple outcomes observed in COVID-19 patients. During the workshop, the KEs and AOPs established so far by the CIAO members were presented and positioned on a timeline of the disease course. Modulating factors influencing the progression and severity of the disease were also addressed as well as factors beyond purely biological phenomena. CIAO relies on an interdisciplinary crowdsourcing effort, therefore, approaches to expand the CIAO network by widening the crowd and reaching stakeholders were also discussed. To conclude the workshop, it was decided that the AOPs/KEs will be further consolidated, integrating virus variants and long COVID when relevant, while an outreach campaign will be launched to broaden the CIAO scientific crowd.
Collapse
Affiliation(s)
| | | | | | - Anna Bal-Price
- European Commission, Joint Research Centre, Ispra, Italy
| | | | - Anna Beronius
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | | | | | - Sandra Coecke
- European Commission, Joint Research Centre, Ispra, Italy
| | - Rachel Concha
- Fairleigh Dickinson University, Green Neuroscience Laboratory, San Diego, CA, USA
| | | | - Francesca De Bernardi
- Division of Otorhinolaryngology, Department of Biotechnologies and Life Sciences, University of Insubria, Ospedale di Circolo e Fondazione Macchi, Varese, Italy
| | - Eizleayne Edrosa
- Green Neuroscience Laboratory, Neurolinx Research Institute, San Diego, CA, USA
| | | | | | | | - Felicity N E Gavins
- The Centre for Inflammation Research and Translational Medicine (CIRTM), Brunel University London, London, UK
| | - Sabina Halappanavar
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Alan J Hargreaves
- School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Helena T Hogberg
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mylène T Huynh
- Department of Preventive Medicine and Biometrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Daniel Jacobson
- Biosciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | | | - Young Jun Kim
- Korea Institute of Science and Technology Europe Forschungsgesellschaft mbH, Saarbrücken, Germany
| | - Hyun Joon Kong
- University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | | | - Ann Lam
- Green Neuroscience Laboratory, Neurolinx Research Institute, San Diego, CA, USA
| | | | | | - Yong Oh Lee
- Korea Institute of Science and Technology Europe Forschungsgesellschaft mbH, Saarbrücken, Germany
| | | | | | - Luigi Margiotta-Casaluci
- The Centre for Inflammation Research and Translational Medicine (CIRTM), Brunel University London, London, UK
| | - Marvin Martens
- Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, The Netherlands
| | - Rosalinde Masereeuw
- Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Sally A Mayasich
- University of Wisconsin-Madison Aquatic Sciences Center at US EPA, Duluth, MN, USA
| | | | | | | | - Penny Nymark
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Elan Ohayon
- Green Neuroscience Laboratory, Neurolinx Research Institute, San Diego, CA, USA
| | - Joshi Ojasi
- Hiranandani College of Pharmacy, Mumbai, India
| | - Alicia Paini
- European Commission, Joint Research Centre, Ispra, Italy
| | | | - Surat Parvatam
- Centre for Predictive Human Model Systems Atal Incubation Centre - Centre for Cellular and Molecular Biology Habsiguda, Hyderabad, India
| | | | - Magdalini Sachana
- Environment Health and Safety Division, Environment Directorate, Organisation for Economic Cooperation and Development (OECD), Paris, France
| | | | | | - Jukka Sund
- European Commission, Joint Research Centre, Ispra, Italy
| | - Shihori Tanabe
- Division of Risk Assessment, Center for Biological Safety and Research, National Institute of Health Sciences, Kawasaki, Japan
| | - Katya Tsaioun
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mathieu Vinken
- Department of Pharmaceutical and Pharmacological Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | | | | | | | | |
Collapse
|
5
|
Waspe J, Bui T, Dishaw L, Kraft A, Luke A, Beronius A. Evaluating reliability and risk of bias of in vivo animal data for risk assessment of chemicals - Exploring the use of the SciRAP tool in a systematic review context. Environ Int 2021; 146:106103. [PMID: 33113468 DOI: 10.1016/j.envint.2020.106103] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 08/27/2020] [Accepted: 08/27/2020] [Indexed: 06/11/2023]
Abstract
Within the field of health risk assessment, it is essential that evaluations of reliability or validity of toxicity data are conducted with structure and transparency. To this end, different tools for evaluating toxicity studies have been developed by different groups and organizations, for different specific purposes. The Science in Risk Assessment and Policy (SciRAP) tool was developed for use in the regulatory health risk assessment of chemicals and to promote structured and transparent evaluation of study reliability within European regulatory frameworks. As such, the SciRAP tool is not specifically tailored for use in a systematic review context. However, in light of the current movement towards applying systematic review in the field of environmental health and chemical assessments and European chemicals regulation, we were interested in exploring how SciRAP could be applied in such a context. To achieve this, the scope of the SciRAP tool was first compared to two tools developed based on systematic review principles at the US Environmental Protection Agency's IRIS program and the National Toxicology Program's Office of Health Assessment and Translation (OHAT). Next, the SciRAP and IRIS tools were both applied in a case study to evaluate the same nine in vivo animal studies and the resulting evaluations were compared. The SciRAP tool was found to address the majority of the elements included for study evaluation in the OHAT and IRIS tools. In the case study, no major differences were found in the conclusions drawn when using SciRAP or IRIS tools. However, future developments to bring the SciRAP tool more in line with systematic review principles were identified and are discussed. Overall, this work illustrates the advantages of applying structured and pre-defined methods for study evaluation and provides a unique case study comparing the impact of using different tools for evaluating animal toxicity studies.
Collapse
Affiliation(s)
- Jennifer Waspe
- Institute of Environmental Medicine, Karolinska Institutet, Sweden
| | - Thuy Bui
- Department of Environmental Science and Analytical Chemistry, Stockholm University, Sweden
| | - Laura Dishaw
- United States Environmental Protection Agency, USA
| | - Andrew Kraft
- United States Environmental Protection Agency, USA
| | - April Luke
- United States Environmental Protection Agency, USA
| | - Anna Beronius
- Institute of Environmental Medicine, Karolinska Institutet, Sweden.
| |
Collapse
|