Modelling ecological risks of antiretroviral drugs in the environment

dc.contributor.authorNgwenya, Phephile
dc.contributor.authorMusee, Ndeke
dc.contributor.emailndeke.musee@up.ac.zaen_US
dc.date.accessioned2024-05-28T06:00:19Z
dc.date.available2024-05-28T06:00:19Z
dc.date.issued2023
dc.descriptionAPPENDIX A. SUPPLEMENTARY DATA : Supplementary data to this article can be found online at https://DOI.org/10.1016/j.enceco.2023.06.001.en_US
dc.description.abstractThe success of the antiretroviral therapy (ART) programme to manage HIV/AIDS in Sub-Saharan Africa (SSA) has inadvertently led to the release of antiretroviral (ARVs) into the environment. Consequently, ARVs have been detected in different countries across the globe, with the highest measured environmental concentrations in the SSA countries. Herein, we quantified ecological risks of ten regimen ARVs (six and four in first and second regimes, respectively) into environmental matrices in four spatial regions in Eswatini, namely: Manzini, Hhohho, Lubombo, and Shiselweni. Ecological risks (expressed as risk quotient (RQ)) were determined for different geographical regions by comparing the predicted environmental concentrations (PECs) to the predicted no effect concentrations (PNECs). PNECs were derived from ecotoxicological data generated using the Ecological Structure Activity Relationships (ECOSAR) model. PECs of ARVs in surfacewater in the Lubombo and Shiselweni regions were three-fold higher compared to those of the Manzini and Hhohho regions with RQs of three ARVs exceeding 10 (RQ > 10) to three taxa (fish, daphnia, and algae). ARVs of concern to the three taxa were ranked in descending order based on both acute and chronic toxicity based on RQ values as efavirenz (EFV) > lopinavir (LPV) > ritonavir (RTV) (all with RQs > 10). Two second regime ARV drugs (RTV and LPV) posed the highest risks to aquatic taxa though they had the least PECs, but were highly toxic with PNECs <1 μg/L. Due to dearth of toxicity data for ARVs on bacteria, their risks in wastewater (with the exception of TDF) could not be established. Results of this study are the first to quantify risks of ARVs in the environment using a modelling approach. The developed model can therefore serve as a first-tier screening tool. In addition, the results raise the need to examine the likelihood of antiviral resistance of ARVs linked to their high environmental concentrations.en_US
dc.description.departmentChemical Engineeringen_US
dc.description.librarianam2024en_US
dc.description.sdgSDG-03:Good heatlh and well-beingen_US
dc.description.sdgSDG-11:Sustainable cities and communitiesen_US
dc.description.sponsorshipThe Water Research Commission (South Africa).en_US
dc.description.urihttp://www.keaipublishing.com/en/journals/environmental-chemistry-and-ecotoxicology/en_US
dc.identifier.citationNgwenya, P. & Musee, N. 2023, 'Modelling ecological risks of antiretroviral drugs in the environment', Environmental Chemistry and Ecotoxicology, vol. 5, pp. 145-154. http://dx.DOI.org/10.1016/j.enceco.2023.06.001.en_US
dc.identifier.issn2141-226X
dc.identifier.other10.1016/j.enceco.2023.06.001
dc.identifier.urihttp://hdl.handle.net/2263/96256
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CCBY-NC-ND license.en_US
dc.subjectRisk quotienten_US
dc.subjectAquatic organismsen_US
dc.subjectRisk rankingen_US
dc.subjectEswatinien_US
dc.subjectAntiretroviral therapy (ART)en_US
dc.subjectAntiretroviral (ARV)en_US
dc.subjectSub-Saharan Africa (SSA)en_US
dc.subjectHuman immunodeficiency virus (HIV)en_US
dc.subjectAcquired immune deficiency syndrome (AIDS)en_US
dc.subjectPredicted no effect concentrations (PNECs)en_US
dc.subjectPredicted environmental concentrations (PECs)en_US
dc.subjectSDG-03: Good health and well-beingen_US
dc.subjectSDG-11: Sustainable cities and communitiesen_US
dc.titleModelling ecological risks of antiretroviral drugs in the environmenten_US
dc.typeArticleen_US

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