Literature DB >> 33064225

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

Hikaru Kobayashi1,2, Irene Martínez de Toda1,2,3, Luis Sanz-San Miguel4, Mónica De la Fuente5,6.   

Abstract

Finding biomarkers to assess the rate of ageing and consequently, to forecast individual lifespan is a challenge in ageing research. We recently published a mathematical model for lifespan prediction in adult female mice using behavioural parameters such as internal locomotion and time spent in open arms in the hole board (HB) and elevated plus maze (EPM) tests, respectively. Nevertheless, it is still not known if these behavioural variables could be useful in forecasting lifespan in male mice. Therefore, two groups of ICR-CD1 mice, male and female were subjected to the EPM, HB and T-maze tests at the adult age. Mice were monitored until they died and individual lifespans were registered. In general, adult male mice showed more anxiety-like behaviours than females. The mathematical model previously developed in females was validated with the female cohort, but found to be suboptimal for lifespan prediction in males. Thus, a new model for male lifespan prediction was constructed including the behavioural variables that were predictive of lifespan in males: time in the central platform of the EPM, inner locomotion, number of groomings and number and duration of head-dippings in the HB. These results confirm that the higher the anxiety-like behaviour at the adult age, the shorter the lifespan.

Entities:  

Keywords:  Anxiety and exploratory behaviour; Lifespan prediction; Male and female mice behaviour; Multiple lineal regression

Year:  2020        PMID: 33064225     DOI: 10.1007/s10522-020-09902-x

Source DB:  PubMed          Journal:  Biogerontology        ISSN: 1389-5729            Impact factor:   4.277


  41 in total

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Journal:  Rejuvenation Res       Date:  2010-08       Impact factor: 4.663

4.  Individual housing of mice--impact on behaviour and stress responses.

Authors:  Saskia S Arndt; Marijke C Laarakker; Hein A van Lith; F Josef van der Staay; Elise Gieling; Amber R Salomons; José van't Klooster; Frauke Ohl
Journal:  Physiol Behav       Date:  2009-03-18

5.  Policy: NIH to balance sex in cell and animal studies.

Authors:  Janine A Clayton; Francis S Collins
Journal:  Nature       Date:  2014-05-15       Impact factor: 49.962

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Authors:  Dionisio A Amodeo; Alma E Pahua; Marta Zarate; Jordan A Taylor; Sophie Peterson; Rebekah Posadas; Brandon L Oliver; Leslie R Amodeo
Journal:  Behav Brain Res       Date:  2019-06-15       Impact factor: 3.332

7.  The effects of different basal levels of anxiety on the behavioral shift analyzed in the central platform of the elevated plus maze.

Authors:  Maurizio Casarrubea; Fabiana Faulisi; Filippina Sorbera; Giuseppe Crescimanno
Journal:  Behav Brain Res       Date:  2014-12-12       Impact factor: 3.332

8.  Development of models for predicting biological age (BA) with physical, biochemical, and hormonal parameters.

Authors:  Chul-Young Bae; Young Gon Kang; Sehyun Kim; Chooyon Cho; Hee Cheol Kang; Byung Yeon Yu; Sang-Wha Lee; Kyung Hee Cho; Duk Chul Lee; Kyurae Lee; Jong Sung Kim; Kyung Kyun Shin
Journal:  Arch Gerontol Geriatr       Date:  2007-09-24       Impact factor: 3.250

9.  Sex differences in anxiety-like behavior and locomotor activity following chronic nicotine exposure in mice.

Authors:  Barbara J Caldarone; Sarah L King; Marina R Picciotto
Journal:  Neurosci Lett       Date:  2008-05-13       Impact factor: 3.046

10.  Anxiety in mice: a principal component analysis study.

Authors:  Yan Clément; Chantal Joubert; Caroline Kopp; Eve M Lepicard; Patrice Venault; René Misslin; Martine Cadot; Georges Chapouthier
Journal:  Neural Plast       Date:  2007-03-21       Impact factor: 3.599

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