Literature DB >> 31381890

When will my mouse die? Life span prediction based on immune function, redox and behavioural parameters in female mice at the adult age.

Irene Martínez de Toda1, Carmen Vida1, Luis Sanz San Miguel2, Mónica De la Fuente3.   

Abstract

The identification of predictive markers of life span would help to unravel the underlying mechanisms influencing ageing and longevity. For this aim, 30 variables including immune functions, inflammatory-oxidative stress state and behavioural characteristics were investigated in ICR-CD1 female mice at the adult age (N = 38). Mice were monitored individually until they died and individual life spans were registered. Multiple linear regression was carried out to construct an Immunity model (adjusted R2 = 75.8%) comprising Macrophage chemotaxis and phagocytosis and Lymphoproliferation capacity, a Redox model (adjusted R2 = 84.4%) involving Reduced Glutathione and Malondialdehyde concentrations and Glutathione Peroxidase activity and a Behavioural model (adjusted R2 = 79.8%) comprising Internal Locomotion and Time spent in open arms indices. In addition, a Combined model (adjusted R2 = 92.4%) and an Immunity-Redox model (adjusted R2 = 88.7%) were also constructed by combining the above-mentioned selected variables. The models were also cross-validated using two different sets of female mice (N = 30; N = 40). Correlation between predicted and observed life span was 0.849 (P < 0.000) for the Immunity model, 0.691 (P < 0.000) for the Redox, 0.662 (P < 0.000) for the Behavioural and 0.840 (P < 0.000) for the Immunity-Redox model. Thus, these results provide a new perspective on the use of immune function, redox and behavioural markers as prognostic tools in ageing research.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Anxiety-like behaviour; Immune function; Life span prediction; Multiple linear regression; Oxidative stress

Mesh:

Year:  2019        PMID: 31381890     DOI: 10.1016/j.mad.2019.111125

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


  6 in total

1.  Sex-related differences in behavioural markers in adult mice for the prediction of lifespan.

Authors:  Hikaru Kobayashi; Irene Martínez de Toda; Luis Sanz-San Miguel; Mónica De la Fuente
Journal:  Biogerontology       Date:  2020-10-16       Impact factor: 4.277

2.  Prematurely aging female mice improve their behavioural response, immunity, redox state, and lifespan after a short social interaction with non-prematurely aging mice.

Authors:  E Díaz-Del Cerro; J Félix; M De la Fuente
Journal:  Biogerontology       Date:  2022-06-02       Impact factor: 4.284

3.  Where Could Research on Immunosenescence Lead?

Authors:  Mónica De la Fuente
Journal:  Int J Mol Sci       Date:  2019-11-25       Impact factor: 5.923

4.  The use of a bed with an insulating system of electromagnetic fields improves immune function, redox and inflammatory states, and decrease the rate of aging.

Authors:  E Díaz-Del Cerro; C Vida; I Martínez de Toda; J Félix; M De la Fuente
Journal:  Environ Health       Date:  2020-11-23       Impact factor: 5.984

5.  Social Environment Ameliorates Behavioral and Immune Impairments in Tyrosine Hydroxylase Haploinsufficient Female Mice.

Authors:  A Garrido; J Cruces; N Ceprián; C Hernández-Sánchez; F De Pablo; Mónica De la Fuente
Journal:  J Neuroimmune Pharmacol       Date:  2020-08-09       Impact factor: 4.147

6.  Age and life expectancy clocks based on machine learning analysis of mouse frailty.

Authors:  Michael B Schultz; Alice E Kane; Sarah J Mitchell; Michael R MacArthur; Elisa Warner; David S Vogel; James R Mitchell; Susan E Howlett; Michael S Bonkowski; David A Sinclair
Journal:  Nat Commun       Date:  2020-09-15       Impact factor: 14.919

  6 in total

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