{"title":"Modelling biphasic hormetic dose responses to predict sub-NOAEL effects using plant biology as an example","authors":"Regina G. Belz , Stephen O. Duke","doi":"10.1016/j.cotox.2022.01.003","DOIUrl":null,"url":null,"abstract":"<div><p>Perception of hormesis<span> as a significant dose–response phenomenon is found in many sciences without predicting and/or quantifying this low-dose effect with statistical models. Only a minority of papers published on hormesis in plant biology or other sciences apply available statistical modelling of the dose–response relationships, along with significance testing for hormesis and prediction of sub-NOAEL quantities. The prediction of threshold quantities opens many further evaluation options such as risk assessment, hormesis in mixtures or in risk groups, selective hormesis in populations, or assessment of transgenerational hormesis. Therefore, the significance and value of hormesis research can benefit significantly from sound modelling of this biphasic phenomenon. This review is meant to raise awareness of scientists for the value of hormesis modelling.</span></p></div>","PeriodicalId":37736,"journal":{"name":"Current Opinion in Toxicology","volume":"29 ","pages":"Pages 36-42"},"PeriodicalIF":6.1000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468202022000031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TOXICOLOGY","Score":null,"Total":0}
引用次数: 15
Abstract
Perception of hormesis as a significant dose–response phenomenon is found in many sciences without predicting and/or quantifying this low-dose effect with statistical models. Only a minority of papers published on hormesis in plant biology or other sciences apply available statistical modelling of the dose–response relationships, along with significance testing for hormesis and prediction of sub-NOAEL quantities. The prediction of threshold quantities opens many further evaluation options such as risk assessment, hormesis in mixtures or in risk groups, selective hormesis in populations, or assessment of transgenerational hormesis. Therefore, the significance and value of hormesis research can benefit significantly from sound modelling of this biphasic phenomenon. This review is meant to raise awareness of scientists for the value of hormesis modelling.
期刊介绍：
The aims and scope of Current Opinion in Toxicology is to systematically provide the reader with timely and provocative views and opinions of the highest qualified and recognized experts on current advances in selected topics within the field of toxicology. The goal is that Current Opinion in Toxicology will be an invaluable source of information and perspective for researchers, teachers, managers and administrators, policy makers and students. Division of the subject into sections: For this purpose, the scope of Toxicology is divided into six selected high impact themed sections, each of which is reviewed once a year: Mechanistic Toxicology, Metabolic Toxicology, Risk assessment in Toxicology, Genomic Toxicology, Systems Toxicology, Translational Toxicology.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
