Literature DB >> 31330523

Frailty Assessment in Animal Models.

Stefan D Heinze-Milne1, Shubham Banga1, Susan E Howlett2,3.   

Abstract

Although frailty has been extensively investigated for the last 2 decades, preclinical models of frailty have only been developed over the past decade. Frailty is a concept that helps to explain the difference between chronologic age and biologic age and to discuss health span along with lifespan. In general, a frail individual will be more susceptible to adverse health outcomes than a healthy, nonfrail individual of the same age. However, the biology and mechanisms of frailty are still unclear. The development of preclinical models of frailty and frailty assessment tools are invaluable to geriatric research. This review briefly describes the concept of frailty and discusses the newly developed animal models of frailty, specifically the frailty phenotype- and frailty index-based models. Mouse models are the most common models for preclinical frailty research, but rat and canine models for frailty assessment have also been developed. These models can facilitate the testing of frailty-specific treatments and help to investigate the effects of various interventions on frailty. Similarities and differences between human and animal models, including sex differences in frailty, are also discussed. The availability of animal models of frailty is a valuable and welcome addition to the study of frailty, aging, or the disorders of old age and will enable a better understanding of frailty mechanisms.
© 2019 S. Karger AG, Basel.

Entities:  

Keywords:  Aging; Animal models; Frailty; Frailty index; Frailty phenotype; Health span

Mesh:

Year:  2019        PMID: 31330523     DOI: 10.1159/000501333

Source DB:  PubMed          Journal:  Gerontology        ISSN: 0304-324X            Impact factor:   5.140


  11 in total

1.  Phenotypic Frailty Assessment in Mice: Development, Discoveries, and Experimental Considerations.

Authors:  Cory W Baumann; Dongmin Kwak; LaDora V Thompson
Journal:  Physiology (Bethesda)       Date:  2020-11-01

2.  Sex differences in biological aging with a focus on human studies.

Authors:  Sara Hägg; Juulia Jylhävä
Journal:  Elife       Date:  2021-05-13       Impact factor: 8.140

Review 3.  Sarcopenia and frailty in decompensated cirrhosis.

Authors:  Puneeta Tandon; Aldo J Montano-Loza; Jennifer C Lai; Srinivasan Dasarathy; Manuela Merli
Journal:  J Hepatol       Date:  2021-07       Impact factor: 30.083

4.  New Directions in Research on Aging.

Authors:  Andrzej Bartke
Journal:  Stem Cell Rev Rep       Date:  2021-11-23       Impact factor: 6.692

5.  Late-life intermittent fasting decreases aging-related frailty and increases renal hydrogen sulfide production in a sexually dimorphic manner.

Authors:  Yoko O Henderson; Nazmin Bithi; Christopher Link; Jie Yang; Rebecca Schugar; Natalia Llarena; J Mark Brown; Christopher Hine
Journal:  Geroscience       Date:  2021-03-06       Impact factor: 7.713

6.  Molecular and histological correlates of cognitive decline across age in male C57BL/6J mice.

Authors:  Rachel Britton; Angela T Liu; Sanket V Rege; Julia M Adams; Lily Akrapongpisak; David Le; Raniel Alcantara-Lee; Raul A Estrada; Rebecca Ray; Sara Ahadi; Ian Gallager; Cindy F Yang; S Sakura Minami; Steven P Braithwaite; Eva Czirr; Meghan Kerrisk Campbell
Journal:  Brain Behav       Date:  2022-08-15       Impact factor: 3.405

7.  Shaping the next steps of research on frailty: challenges and opportunities.

Authors:  Ivan Aprahamian; Qian-Li Xue
Journal:  BMC Geriatr       Date:  2021-07-19       Impact factor: 3.921

8.  Vitamin D Insufficiency Reduces Grip Strength, Grip Endurance and Increases Frailty in Aged C57Bl/6J Mice.

Authors:  Kenneth Ladd Seldeen; Reem Nagi Berman; Manhui Pang; Ginger Lasky; Carleara Weiss; Brian Alexander MacDonald; Ramkumar Thiyagarajan; Yonas Redae; Bruce Robert Troen
Journal:  Nutrients       Date:  2020-09-30       Impact factor: 5.717

Review 9.  Nanoscale Organization, Regulation, and Dynamic Reorganization of Cardiac Calcium Channels.

Authors:  Rose E Dixon
Journal:  Front Physiol       Date:  2022-01-05       Impact factor: 4.566

Review 10.  Determination of Biological Age: Geriatric Assessment vs Biological Biomarkers.

Authors:  Lucas W M Diebel; Kenneth Rockwood
Journal:  Curr Oncol Rep       Date:  2021-07-16       Impact factor: 5.075

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