{"title":"模拟衰老和与年龄有关的疾病","authors":"Ilaria Bellantuono , Paul K. Potter","doi":"10.1016/j.ddmod.2017.07.005","DOIUrl":null,"url":null,"abstract":"<div><p>An increased lifespan comes with an associated increase in disease incidence, and is the major risk factor for age-related diseases. To face this societal challenge search for new treatments has intensified requiring good preclinical models, whose complexity and accuracy is increasing. However, the influence of ageing is often overlooked. Furthermore, phenotypic assessment of ageing models is in need of standardisation to enable the accurate evaluation of pre-clinical intervention studies in line with clinical translation.</p></div>","PeriodicalId":39774,"journal":{"name":"Drug Discovery Today: Disease Models","volume":"20 ","pages":"Pages 27-32"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ddmod.2017.07.005","citationCount":"6","resultStr":"{\"title\":\"Modelling ageing and age-related disease\",\"authors\":\"Ilaria Bellantuono , Paul K. Potter\",\"doi\":\"10.1016/j.ddmod.2017.07.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>An increased lifespan comes with an associated increase in disease incidence, and is the major risk factor for age-related diseases. To face this societal challenge search for new treatments has intensified requiring good preclinical models, whose complexity and accuracy is increasing. However, the influence of ageing is often overlooked. Furthermore, phenotypic assessment of ageing models is in need of standardisation to enable the accurate evaluation of pre-clinical intervention studies in line with clinical translation.</p></div>\",\"PeriodicalId\":39774,\"journal\":{\"name\":\"Drug Discovery Today: Disease Models\",\"volume\":\"20 \",\"pages\":\"Pages 27-32\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.ddmod.2017.07.005\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Drug Discovery Today: Disease Models\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S174067571730035X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Pharmacology, Toxicology and Pharmaceutics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Discovery Today: Disease Models","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S174067571730035X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
An increased lifespan comes with an associated increase in disease incidence, and is the major risk factor for age-related diseases. To face this societal challenge search for new treatments has intensified requiring good preclinical models, whose complexity and accuracy is increasing. However, the influence of ageing is often overlooked. Furthermore, phenotypic assessment of ageing models is in need of standardisation to enable the accurate evaluation of pre-clinical intervention studies in line with clinical translation.
期刊介绍:
Drug Discovery Today: Disease Models discusses the non-human experimental models through which inference is drawn regarding the molecular aetiology and pathogenesis of human disease. It provides critical analysis and evaluation of which models can genuinely inform the research community about the direct process of human disease, those which may have value in basic toxicology, and those which are simply designed for effective expression and raw characterisation.