Christina Boxberger , Leon Earl Gray Jr , Nicola Evans , Justin M. Conley , Elizabeth Medlock Kakaley
{"title":"用柴尔德回归分析体外确定雌激素和抗雄激素农药的生物活性","authors":"Christina Boxberger , Leon Earl Gray Jr , Nicola Evans , Justin M. Conley , Elizabeth Medlock Kakaley","doi":"10.1016/j.taap.2025.117523","DOIUrl":null,"url":null,"abstract":"<div><div>A broad range of anthropogenic chemicals have been reported to display estrogenic (ER) or antiandrogenic bioactivity using high throughput screening (HTS) <em>in vitro</em> assays. Some regulatory agencies have developed tiered <em>in vitro – in vivo</em> endocrine screening batteries in which positive <em>in vitro</em> results automatically “trigger” studies with laboratory animals. Since <em>in vitro</em> assays can produce a number of false positive and false negative results, automatically triggering <em>in vivo</em> testing could result in the unnecessary use of animals and other resources. The <em>in vitro</em> false positive rate may be particularly high with reported AR antagonists, because many nonspecific mechanisms can disrupt competitive AR dose-response assays such that chemicals falsely appear to be competitive AR ligands. In the current investigation, we illustrated the utility of <em>in vitro</em> Schild regression to interrogate the <em>in vitro</em> ER and/or anti-AR bioactivity of pesticides which were positive in HTS ER or AR models. Schild regression discriminates chemicals that act as true competitive receptor ligands from those that disrupt signaling <em>via</em> noncompetitive mechanisms. The chemicals studied included seven pesticides listed by EPA as high priority for <em>in vivo</em> ER or anti-AR testing and two pesticides listed as low priority, as well as 17β-estradiol (E2) and hydroxyflutamide (OHF) as ER and anti-AR reference ligands. Two out of four pesticides tested for ER agonist activity were cytotoxic, and four out of seven pesticides tested for AR antagonist activity, plus OHF, were true competitive AR antagonists (two true positives and two false negatives). Herein, we propose a tiered strategy that includes a more in-depth analysis of <em>in vitro</em> bioactivity using Schild regression to determine if HTS or other <em>in vitro</em> bioactivity data results from true competitive receptor antagonism or some nonspecific mechanism. This strategy could reduce unnecessary <em>in vivo</em> testing for chemicals that are not AR antagonists <em>in vitro.</em></div></div>","PeriodicalId":23174,"journal":{"name":"Toxicology and applied pharmacology","volume":"504 ","pages":"Article 117523"},"PeriodicalIF":3.4000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"In vitro confirmation of estrogenic and antiandrogenic pesticide bioactivity using schild regression analysis\",\"authors\":\"Christina Boxberger , Leon Earl Gray Jr , Nicola Evans , Justin M. Conley , Elizabeth Medlock Kakaley\",\"doi\":\"10.1016/j.taap.2025.117523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A broad range of anthropogenic chemicals have been reported to display estrogenic (ER) or antiandrogenic bioactivity using high throughput screening (HTS) <em>in vitro</em> assays. Some regulatory agencies have developed tiered <em>in vitro – in vivo</em> endocrine screening batteries in which positive <em>in vitro</em> results automatically “trigger” studies with laboratory animals. Since <em>in vitro</em> assays can produce a number of false positive and false negative results, automatically triggering <em>in vivo</em> testing could result in the unnecessary use of animals and other resources. The <em>in vitro</em> false positive rate may be particularly high with reported AR antagonists, because many nonspecific mechanisms can disrupt competitive AR dose-response assays such that chemicals falsely appear to be competitive AR ligands. In the current investigation, we illustrated the utility of <em>in vitro</em> Schild regression to interrogate the <em>in vitro</em> ER and/or anti-AR bioactivity of pesticides which were positive in HTS ER or AR models. Schild regression discriminates chemicals that act as true competitive receptor ligands from those that disrupt signaling <em>via</em> noncompetitive mechanisms. The chemicals studied included seven pesticides listed by EPA as high priority for <em>in vivo</em> ER or anti-AR testing and two pesticides listed as low priority, as well as 17β-estradiol (E2) and hydroxyflutamide (OHF) as ER and anti-AR reference ligands. Two out of four pesticides tested for ER agonist activity were cytotoxic, and four out of seven pesticides tested for AR antagonist activity, plus OHF, were true competitive AR antagonists (two true positives and two false negatives). Herein, we propose a tiered strategy that includes a more in-depth analysis of <em>in vitro</em> bioactivity using Schild regression to determine if HTS or other <em>in vitro</em> bioactivity data results from true competitive receptor antagonism or some nonspecific mechanism. This strategy could reduce unnecessary <em>in vivo</em> testing for chemicals that are not AR antagonists <em>in vitro.</em></div></div>\",\"PeriodicalId\":23174,\"journal\":{\"name\":\"Toxicology and applied pharmacology\",\"volume\":\"504 \",\"pages\":\"Article 117523\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Toxicology and applied pharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0041008X25002996\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Toxicology and applied pharmacology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0041008X25002996","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
In vitro confirmation of estrogenic and antiandrogenic pesticide bioactivity using schild regression analysis
A broad range of anthropogenic chemicals have been reported to display estrogenic (ER) or antiandrogenic bioactivity using high throughput screening (HTS) in vitro assays. Some regulatory agencies have developed tiered in vitro – in vivo endocrine screening batteries in which positive in vitro results automatically “trigger” studies with laboratory animals. Since in vitro assays can produce a number of false positive and false negative results, automatically triggering in vivo testing could result in the unnecessary use of animals and other resources. The in vitro false positive rate may be particularly high with reported AR antagonists, because many nonspecific mechanisms can disrupt competitive AR dose-response assays such that chemicals falsely appear to be competitive AR ligands. In the current investigation, we illustrated the utility of in vitro Schild regression to interrogate the in vitro ER and/or anti-AR bioactivity of pesticides which were positive in HTS ER or AR models. Schild regression discriminates chemicals that act as true competitive receptor ligands from those that disrupt signaling via noncompetitive mechanisms. The chemicals studied included seven pesticides listed by EPA as high priority for in vivo ER or anti-AR testing and two pesticides listed as low priority, as well as 17β-estradiol (E2) and hydroxyflutamide (OHF) as ER and anti-AR reference ligands. Two out of four pesticides tested for ER agonist activity were cytotoxic, and four out of seven pesticides tested for AR antagonist activity, plus OHF, were true competitive AR antagonists (two true positives and two false negatives). Herein, we propose a tiered strategy that includes a more in-depth analysis of in vitro bioactivity using Schild regression to determine if HTS or other in vitro bioactivity data results from true competitive receptor antagonism or some nonspecific mechanism. This strategy could reduce unnecessary in vivo testing for chemicals that are not AR antagonists in vitro.
期刊介绍:
Toxicology and Applied Pharmacology publishes original scientific research of relevance to animals or humans pertaining to the action of chemicals, drugs, or chemically-defined natural products.
Regular articles address mechanistic approaches to physiological, pharmacologic, biochemical, cellular, or molecular understanding of toxicologic/pathologic lesions and to methods used to describe these responses. Safety Science articles address outstanding state-of-the-art preclinical and human translational characterization of drug and chemical safety employing cutting-edge science. Highly significant Regulatory Safety Science articles will also be considered in this category. Papers concerned with alternatives to the use of experimental animals are encouraged.
Short articles report on high impact studies of broad interest to readers of TAAP that would benefit from rapid publication. These articles should contain no more than a combined total of four figures and tables. Authors should include in their cover letter the justification for consideration of their manuscript as a short article.