Literature DB >> 27450180

With mouse age comes wisdom: A review and suggestions of relevant mouse models for age-related conditions.

Susanne Drechsler1, Marina A Lynch2, Susana Novella3, Herminia González-Navarro4, Silva Hecimovic5, Erica Barini6, Valter Tucci6, Rui E Castro7, Roosmarijn E Vandenbroucke8, Marcin Osuchowski1, Paul K Potter9.   

Abstract

Ageing is a complex multifactorial process that results in many changes in physiological changes processes that ultimately increase susceptibility to a wide range of diseases. As such an ageing population is resulting in a pressing need for more and improved treatments across an assortment of diseases. Such treatments can come from a better understanding of the pathogenic pathways which, in turn, can be derived from models of disease. Therefore the more closely the model resembles the disease situation the more likely relevant the data will be that is generated from them. Here we review the state of knowledge of mouse models of a range of diseases and aspects of an ageing physiology that are all germane to ageing. We also give recommendations on the most common mouse models on their relevance to the clinical situations occurring in aged patients and look forward as to how research in ageing models can be carried out. As we continue to elucidate the pathophysiology of disease, often through mouse models, we also learn what is needed to refine these models. Such factors can include better models, reflecting the ageing patient population, or a better phenotypic understanding of existing models. Copyright Â
© 2016 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Ageing; Mouse models; Phenotyping

Mesh:

Year:  2016        PMID: 27450180     DOI: 10.1016/j.mad.2016.07.005

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  3 in total

1.  Sepsis-3 on the Block: What Does It Mean for Preclinical Sepsis Modeling?

Authors:  Marcin F Osuchowski; Christoph Thiemermann; Daniel G Remick
Journal:  Shock       Date:  2017-05       Impact factor: 3.454

Review 2.  Social ageing: exploring the drivers of late-life changes in social behaviour in mammals.

Authors:  Erin R Siracusa; James P Higham; Noah Snyder-Mackler; Lauren J N Brent
Journal:  Biol Lett       Date:  2022-03-02       Impact factor: 3.703

Review 3.  Modelling physical resilience in ageing mice.

Authors:  Markus Schosserer; Gareth Banks; Soner Dogan; Peter Dungel; Adelaide Fernandes; Darja Marolt Presen; Ander Matheu; Marcin Osuchowski; Paul Potter; Coral Sanfeliu; Bilge Guvenc Tuna; Isabel Varela-Nieto; Ilaria Bellantuono
Journal:  Mech Ageing Dev       Date:  2018-10-02       Impact factor: 5.432

  3 in total

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