| dcterms.contributor.author | Santulli, Gaetano | |
| dcterms.contributor.author | Borras, Consuelo | |
| dcterms.contributor.author | Bousquet, Jean | |
| dcterms.contributor.author | Calzà, Laura | |
| dcterms.contributor.author | Cano, Antonio | |
| dcterms.contributor.author | Illario, Maddalena | |
| dcterms.contributor.author | Franceschi, Claudio | |
| dcterms.contributor.author | Liotta, Giuseppe | |
| dcterms.contributor.author | Maggio, Marcello | |
| dcterms.contributor.author | Molloy, William D. | |
| dcterms.contributor.author | Montuori, Nunzia | |
| dcterms.contributor.author | O’Caoimh, Rónán | |
| dcterms.contributor.author | Orfila, Francesco | |
| dcterms.contributor.author | Rauter, Amelia P. | |
| dcterms.contributor.author | Santoro, Aurelia | |
| dcterms.contributor.author | Iaccarino, Guido | |
| dc.date.accessioned | 2016-07-27T10:15:37Z | |
| dc.date.available | 2016-07-27T10:15:37Z | |
| dcterms.date.issued | 2015 | |
| dcterms.identifier.citation | Santulli G, Borras C, Bousquet J, Calzà L, Cano A, Ilario M, Franceschi C, Liotta G, Maggio M, Molloy W. D, Montuori N, O’Caoimh R, Orfila F, Rauter A. P, Santoro A, Iccarino G. Models for preclinical studies in aging-related disorders: one is not for all. Translational Medicine @ UniSa 2015, 13(2): 4-12 | it_IT |
| dcterms.identifier.issn | 2239-9747 | it_IT |
| dcterms.identifier.uri | http://hdl.handle.net/10556/2160 | |
| dc.description.abstract | Preclinical studies are essentially based on animal models of a particular disease. The primary purpose of preclinical efficacy studies is to support generalization of treatment–effect relationships to human subjects. Researchers aim to demonstrate a causal relationship between an investigational agent and a disease-related phenotype in such models. Numerous factors can muddle reliable inferences about such causeeffect relationships, including biased outcome assessment due to experimenter expectations. For instance, responses in a particular inbred mouse might be specific to the strain, limiting generalizability. Selecting well-justified and widely acknowledged model systems represents the best start in designing preclinical studies, especially to overcome any potential bias related to the model itself. This is particularly true in the research that focuses on aging, which carries unique challenges, mainly attributable to the fact that our already long lifespan makes designing experiments that use people as subjectsextremely difficult and largely impractical. | it_IT |
| dcterms.format.extent | P. 4-12 | it_IT |
| dc.language.iso | en | it_IT |
| dcterms.source | UniSa. Sistema Bibliotecario di Ateneo | it_IT |
| dcterms.subject | Aging | it_IT |
| dcterms.subject | Animal models | it_IT |
| dcterms.subject | Rodents | it_IT |
| dcterms.subject | Swine | it_IT |
| dcterms.subject | Cardiovascular medicine | it_IT |
| dcterms.subject | Preclinical studies | it_IT |
| dcterms.subject | Frailty | it_IT |
| dcterms.subject | Multimorbidity | it_IT |
| dcterms.title | Models for preclinical studies in aging-related disorders: one is not for all | it_IT |
| dcterms.type | Journal Article | it_IT |
