José R Montiel-Mora, Verónica Lizano-Fallas, Michael Méndez-Rivera, Alexandra Marín-González, Juan Carlos Cambronero-Heinrichs, Carlos E Rodríguez-Rodríguez
{"title":"选定的高危药物对水产初级生产者的个别和混合效应。","authors":"José R Montiel-Mora, Verónica Lizano-Fallas, Michael Méndez-Rivera, Alexandra Marín-González, Juan Carlos Cambronero-Heinrichs, Carlos E Rodríguez-Rodríguez","doi":"10.1007/s10646-025-02885-w","DOIUrl":null,"url":null,"abstract":"<p><p>The extensive use of pharmaceuticals has led to their occurrence in surface waters due to insufficient treatment processes for their removal. Their environmental impact remains largely unexplored for certain trophic levels, particularly plants and algae. Pharmaceuticals often occur in mixtures with other pollutants, highlighting the need for comprehensive toxicological assessments that evaluate their combined interactions. This study evaluated the acute toxicity of four high-hazard pharmaceuticals -diphenhydramine, fluoxetine, ketoprofen, and trimethoprim- and their binary mixtures, on the green microalgae Raphidocelis subcapitata and the aquatic macrophyte Lemna gibba. For individual compounds, R. subcapitata growth rate was inhibited in all cases, with fluoxetine, ketoprofen and diphenhydramine exhibiting moderate toxicity (EC<sub>50</sub> = 0.34, 0.14, and 4.88 mg/L, respectively), while trimethoprim showed low toxicity (EC<sub>50</sub> = 332.35 mg/L). Similar trends were observed in L. gibba, except for diphenhydramine, which also showed low toxicity (EC<sub>50</sub> = 26.57 mg/L). Binary mixtures demonstrated a synergistic interaction towards the microalgae in the presence of ketoprofen, except ketoprofen-trimethoprim combination (antagonism, p < 0.0001). In contrast, most interactions in L. gibba exhibited antagonism, except ketoprofen-fluoxetine (synergism, p = 0.0042). Differences were observed between the two model organisms for individual compounds and mixtures. No correlation was found between L. gibba experimental data and QSAR predictions derived from R. subcapitata. Our results highlight the need for: i. further studies including mixtures of relevant pharmaceuticals; ii. caution in the use of predictive models or extrapolation between taxa; and iii. the inclusion of fluoxetine and ketoprofen as priority compounds in future risk assessments.</p>","PeriodicalId":11497,"journal":{"name":"Ecotoxicology","volume":" ","pages":"935-947"},"PeriodicalIF":2.7000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Individual and mixture effect of selected high-hazard pharmaceuticals on aquatic primary producers.\",\"authors\":\"José R Montiel-Mora, Verónica Lizano-Fallas, Michael Méndez-Rivera, Alexandra Marín-González, Juan Carlos Cambronero-Heinrichs, Carlos E Rodríguez-Rodríguez\",\"doi\":\"10.1007/s10646-025-02885-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The extensive use of pharmaceuticals has led to their occurrence in surface waters due to insufficient treatment processes for their removal. Their environmental impact remains largely unexplored for certain trophic levels, particularly plants and algae. Pharmaceuticals often occur in mixtures with other pollutants, highlighting the need for comprehensive toxicological assessments that evaluate their combined interactions. This study evaluated the acute toxicity of four high-hazard pharmaceuticals -diphenhydramine, fluoxetine, ketoprofen, and trimethoprim- and their binary mixtures, on the green microalgae Raphidocelis subcapitata and the aquatic macrophyte Lemna gibba. For individual compounds, R. subcapitata growth rate was inhibited in all cases, with fluoxetine, ketoprofen and diphenhydramine exhibiting moderate toxicity (EC<sub>50</sub> = 0.34, 0.14, and 4.88 mg/L, respectively), while trimethoprim showed low toxicity (EC<sub>50</sub> = 332.35 mg/L). Similar trends were observed in L. gibba, except for diphenhydramine, which also showed low toxicity (EC<sub>50</sub> = 26.57 mg/L). Binary mixtures demonstrated a synergistic interaction towards the microalgae in the presence of ketoprofen, except ketoprofen-trimethoprim combination (antagonism, p < 0.0001). In contrast, most interactions in L. gibba exhibited antagonism, except ketoprofen-fluoxetine (synergism, p = 0.0042). Differences were observed between the two model organisms for individual compounds and mixtures. No correlation was found between L. gibba experimental data and QSAR predictions derived from R. subcapitata. Our results highlight the need for: i. further studies including mixtures of relevant pharmaceuticals; ii. caution in the use of predictive models or extrapolation between taxa; and iii. the inclusion of fluoxetine and ketoprofen as priority compounds in future risk assessments.</p>\",\"PeriodicalId\":11497,\"journal\":{\"name\":\"Ecotoxicology\",\"volume\":\" \",\"pages\":\"935-947\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecotoxicology\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s10646-025-02885-w\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/27 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecotoxicology","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s10646-025-02885-w","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/27 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Individual and mixture effect of selected high-hazard pharmaceuticals on aquatic primary producers.
The extensive use of pharmaceuticals has led to their occurrence in surface waters due to insufficient treatment processes for their removal. Their environmental impact remains largely unexplored for certain trophic levels, particularly plants and algae. Pharmaceuticals often occur in mixtures with other pollutants, highlighting the need for comprehensive toxicological assessments that evaluate their combined interactions. This study evaluated the acute toxicity of four high-hazard pharmaceuticals -diphenhydramine, fluoxetine, ketoprofen, and trimethoprim- and their binary mixtures, on the green microalgae Raphidocelis subcapitata and the aquatic macrophyte Lemna gibba. For individual compounds, R. subcapitata growth rate was inhibited in all cases, with fluoxetine, ketoprofen and diphenhydramine exhibiting moderate toxicity (EC50 = 0.34, 0.14, and 4.88 mg/L, respectively), while trimethoprim showed low toxicity (EC50 = 332.35 mg/L). Similar trends were observed in L. gibba, except for diphenhydramine, which also showed low toxicity (EC50 = 26.57 mg/L). Binary mixtures demonstrated a synergistic interaction towards the microalgae in the presence of ketoprofen, except ketoprofen-trimethoprim combination (antagonism, p < 0.0001). In contrast, most interactions in L. gibba exhibited antagonism, except ketoprofen-fluoxetine (synergism, p = 0.0042). Differences were observed between the two model organisms for individual compounds and mixtures. No correlation was found between L. gibba experimental data and QSAR predictions derived from R. subcapitata. Our results highlight the need for: i. further studies including mixtures of relevant pharmaceuticals; ii. caution in the use of predictive models or extrapolation between taxa; and iii. the inclusion of fluoxetine and ketoprofen as priority compounds in future risk assessments.
期刊介绍:
Ecotoxicology is an international journal devoted to the publication of fundamental research on the effects of toxic chemicals on populations, communities and terrestrial, freshwater and marine ecosystems. It aims to elucidate mechanisms and processes whereby chemicals exert their effects on ecosystems and the impact caused at the population or community level. The journal is not biased with respect to taxon or biome, and papers that indicate possible new approaches to regulation and control of toxic chemicals and those aiding in formulating ways of conserving threatened species are particularly welcome. Studies on individuals should demonstrate linkage to population effects in clear and quantitative ways. Laboratory studies must show a clear linkage to specific field situations. The journal includes not only original research papers but technical notes and review articles, both invited and submitted. A strong, broadly based editorial board ensures as wide an international coverage as possible.