22
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Cumulative stress in research animals: Telomere attrition as a biomarker in a welfare context?

      research-article
      1 ,
      Bioessays
      John Wiley and Sons Inc.
      animal welfare, biological age, biomarker, cumulative experience, cumulative severity, stress, telomere dynamics

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Progress in improving animal welfare is currently limited by the lack of objective methods for assessing lifetime experience. I propose that telomere attrition, a cellular biomarker of biological age, provides a molecular measure of cumulative experience that could be used to assess the welfare impact of husbandry regimes and/or experimental procedures on non‐human animals. I review evidence from humans that telomere attrition is accelerated by negative experiences in a cumulative and dose‐dependent manner, but that this attrition can be mitigated or even reversed by positive life‐style interventions. Evidence from non‐human animals suggests that despite some specific differences in telomere biology, stress‐induced telomere attrition is a robust phenomenon, occurring in a range of species including mice and chickens. I conclude that telomere attrition apparently integrates positive and negative experience in an accessible common currency that translates readily to novel species – the Holy Grail of a cumulative welfare indicator.

          Related collections

          Most cited references74

          • Record: found
          • Abstract: found
          • Article: not found

          Oxidative stress shortens telomeres.

          Telomeres in most human cells shorten with each round of DNA replication, because they lack the enzyme telomerase. This is not, however, the only determinant of the rate of loss of telomeric DNA. Oxidative damage is repaired less well in telomeric DNA than elsewhere in the chromosome, and oxidative stress accelerates telomere loss, whereas antioxidants decelerate it. I suggest here that oxidative stress is an important modulator of telomere loss and that telomere-driven replicative senescence is primarily a stress response. This might have evolved to block the growth of cells that have been exposed to a high risk of mutation.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            A dynamic and intricate regulatory network determines Pseudomonas aeruginosa virulence

            Pseudomonas aeruginosa is a metabolically versatile bacterium that is found in a wide range of biotic and abiotic habitats. It is a major human opportunistic pathogen causing numerous acute and chronic infections. The critical traits contributing to the pathogenic potential of P. aeruginosa are the production of a myriad of virulence factors, formation of biofilms and antibiotic resistance. Expression of these traits is under stringent regulation, and it responds to largely unidentified environmental signals. This review is focused on providing a global picture of virulence gene regulation in P. aeruginosa. In addition to key regulatory pathways that control the transition from acute to chronic infection phenotypes, some regulators have been identified that modulate multiple virulence mechanisms. Despite of a propensity for chaotic behaviour, no chaotic motifs were readily observed in the P. aeruginosa virulence regulatory network. Having a ‘birds-eye’ view of the regulatory cascades provides the forum opportunities to pose questions, formulate hypotheses and evaluate theories in elucidating P. aeruginosa pathogenesis. Understanding the mechanisms involved in making P. aeruginosa a successful pathogen is essential in helping devise control strategies.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Caregiving as a risk factor for mortality: the Caregiver Health Effects Study.

              There is strong consensus that caring for an elderly individual with disability is burdensome and stressful to many family members and contributes to psychiatric morbidity. Researchers have also suggested that the combination of loss, prolonged distress, the physical demands of caregiving, and biological vulnerabilities of older caregivers may compromise their physiological functioning and increase their risk for physical health problems, leading to increased mortality. To examine the relationship between caregiving demands among older spousal caregivers and 4-year all-cause mortality, controlling for sociodemographic factors, prevalent clinical disease, and subclinical disease at baseline. Prospective population-based cohort study, from 1993 through 1998 with an average of 4.5 years of follow-up. Four US communities. A total of 392 caregivers and 427 noncaregivers aged 66 to 96 years who were living with their spouses. Four-year mortality, based on level of caregiving: (1) spouse not disabled; (2) spouse disabled and not helping; (3) spouse disabled and helping with no strain reported; or(4) spouse disabled and helping with mental or emotional strain reported. After 4 years of follow-up, 103 participants (12.6%) died. After adjusting for sociodemographic factors, prevalent disease, and subclinical cardiovascular disease, participants who were providing care and experiencing caregiver strain had mortality risks that were 63% higher than noncaregiving controls (relative risk [RR], 1.63; 95% confidence interval [CI], 1.00-2.65). Participants who were providing care but not experiencing strain (RR, 1.08; 95 % CI, 0.61-1.90) and those with a disabled spouse who were not providing care (RR, 1.37; 95% CI, 0.73-2.58) did not have elevated adjusted mortality rates relative to the noncaregiving controls. Our study suggests that being a caregiver who is experiencing mental or emotional strain is an independent risk factor for mortality among elderly spousal caregivers. Caregivers who report strain associated with caregiving are more likely to die than noncaregiving controls.
                Bookmark

                Author and article information

                Journal
                Bioessays
                Bioessays
                10.1002/(ISSN)1521-1878
                BIES
                Bioessays
                John Wiley and Sons Inc. (Hoboken )
                0265-9247
                1521-1878
                08 December 2015
                February 2016
                : 38
                : 2 ( doiID: 10.1002/bies.v38.2 )
                : 201-212
                Affiliations
                [ 1 ] Centre for Behaviour and Evolution/Institute of NeuroscienceNewcastle University Newcastle upon TyneUK
                Author notes
                [*] [* ] Corresponding author:

                Melissa Bateson

                E‐mail: melissa.bateson@ 123456ncl.ac.uk

                Article
                BIES201500127
                10.1002/bies.201500127
                4737400
                26645576
                614c6044-601a-4ea8-9100-bb596d94a723
                © 2015 The Author. BioEssays published by WILEY Periodicals, Inc.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Pages: 12
                Funding
                Funded by: Biotechnology and Biological Sciences Research Council
                Award ID: BB/J016446/1
                Funded by: National Centre for the 3Rs
                Award ID: NC/K000802/1
                Categories
                Prospects & Overviews
                Prospects & Overviews
                Methods, Models & Techniques
                Custom metadata
                2.0
                bies201500127
                February 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.7.5 mode:remove_FC converted:28.01.2016

                Cell biology
                animal welfare,biological age,biomarker,cumulative experience,cumulative severity,stress,telomere dynamics

                Comments

                Comment on this article