Please use this identifier to cite or link to this item: http://elea.unisa.it/xmlui/handle/10556/2160
Title: Models for preclinical studies in aging-related disorders: one is not for all
Authors: Santulli, Gaetano
Borras, Consuelo
Bousquet, Jean
Calzà, Laura
Cano, Antonio
Illario, Maddalena
Franceschi, Claudio
Liotta, Giuseppe
Maggio, Marcello
Molloy, William D.
Montuori, Nunzia
O’Caoimh, Rónán
Orfila, Francesco
Rauter, Amelia P.
Santoro, Aurelia
Iaccarino, Guido
Keywords: Aging;Animal models;Rodents;Swine;Cardiovascular medicine;Preclinical studies;Frailty;Multimorbidity
Issue Date: 2015
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
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.
URI: http://hdl.handle.net/10556/2160
ISSN: 2239-9747
Appears in Collections:Translational Medicine @ UniSa. Volume 13 (sept.-dec. 2015)

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