Literature DB >> 19282116

Changing course in ageing research: The healthy ageing phenotype.

Oscar H Franco1, Kavita Karnik, Gabrielle Osborne, Jose M Ordovas, Michael Catt, Frans van der Ouderaa.   

Abstract

Ageing is often associated with the aged and the diseased, nevertheless ageing is a process that starts in-uterus and is characterised by a progressive functional loss but not necessarily by the presence of disease and poor quality of life. How to meander through life without crossing the confines of major chronic disease and cognitive and physical impairment remains one of the most relevant challenges for science and humankind. Delimiting that 'immaculate' trajectory - that we dub as the 'Healthy Ageing Phenotype' - and exploring solutions to help the population to stay or return to this trajectory should constitute the core focus of scientific research. Nevertheless, current efforts on ageing research are mainly focused on developing animal models to disentangle the human ageing process, and on age-related disorders often providing merely palliative solutions. Therefore, to identify alternative perspectives in ageing research, Unilever and the Medical Research Council (MRC) UK convened a Spark workshop entitled 'The Healthy Ageing Phenotype'. In this meeting, international specialists from complementary areas related to ageing research, gathered to find clear attributes and definitions of the 'Healthy Ageing Phenotype', to identify potential mechanisms and interventions to improve healthy life expectancy of the population; and to highlight areas within ageing research that should be prioritised in the future. General agreement was reached in recognising ageing research as a disaggregated field with little communication between basic, epidemiological and clinical areas of research and limited translation to society. A more holistic, multi-disciplinary approach emanating from a better understanding of healthy ageing trajectories and centred along human biological resilience, its maintenance and the reversibility from early deviations into pathological trajectories, is urgently required. Future research should concentrate on understanding the mechanisms that permit individuals to maintain optimal health when facing pathological hazards and on developing and assessing potential interventions that could aid to re-establish resilience when lost or guarantee its integrity if present. Furthermore it is fundamental that scientific findings are translated incessantly into clear messages delivered to governmental institutions, the industry and society in general.

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Year:  2009        PMID: 19282116     DOI: 10.1016/j.maturitas.2009.02.006

Source DB:  PubMed          Journal:  Maturitas        ISSN: 0378-5122            Impact factor:   4.342


  37 in total

1.  Genomics of human health and aging.

Authors:  Alexander M Kulminski; Irina Culminskaya
Journal:  Age (Dordr)       Date:  2011-12-16

2.  Genetic, physiological, and lifestyle predictors of mortality in the general population.

Authors:  Stefan Walter; Johan Mackenbach; Zoltán Vokó; Stefan Lhachimi; M Arfan Ikram; André G Uitterlinden; Anne B Newman; Joanne M Murabito; Melissa E Garcia; Vilmundur Gudnason; Toshiko Tanaka; Gregory J Tranah; Henri Wallaschofski; Thomas Kocher; Lenore J Launer; Nora Franceschini; Maarten Schipper; Albert Hofman; Henning Tiemeier
Journal:  Am J Public Health       Date:  2012-02-16       Impact factor: 9.308

3.  Predicting survival and morbidity-free survival to very old age.

Authors:  Rachel S Newson; Jacqueline C M Witteman; Oscar H Franco; Bruno H C Stricker; Monique M B Breteler; Albert Hofman; Henning Tiemeier
Journal:  Age (Dordr)       Date:  2010-06-01

Review 4.  Unraveling genetic origin of aging-related traits: evolving concepts.

Authors:  Alexander M Kulminski
Journal:  Rejuvenation Res       Date:  2013-08       Impact factor: 4.663

Review 5.  Aging is not a disease: implications for intervention.

Authors:  Suresh I S Rattan
Journal:  Aging Dis       Date:  2014-06-01       Impact factor: 6.745

6.  Incorporation of suboptimal health status as a potential risk assessment for type II diabetes mellitus: a case-control study in a Ghanaian population.

Authors:  Eric Adua; Peter Roberts; Wei Wang
Journal:  EPMA J       Date:  2017-10-18       Impact factor: 6.543

7.  Polymorphisms in the ACE and ADRB2 genes and risks of aging-associated phenotypes: the case of myocardial infarction.

Authors:  Alexander M Kulminski; Irina V Culminskaya; Svetlana V Ukraintseva; Konstantin G Arbeev; Igor Akushevich; Kenneth C Land; Anatoli I Yashin
Journal:  Rejuvenation Res       Date:  2010-02       Impact factor: 4.663

Review 8.  Assessing health risks from multiple environmental stressors: Moving from G×E to I×E.

Authors:  Cliona M McHale; Gwendolyn Osborne; Rachel Morello-Frosch; Andrew G Salmon; Martha S Sandy; Gina Solomon; Luoping Zhang; Martyn T Smith; Lauren Zeise
Journal:  Mutat Res Rev Mutat Res       Date:  2017-11-24       Impact factor: 5.657

9.  Trade-offs in the effects of the apolipoprotein E polymorphism on risks of diseases of the heart, cancer, and neurodegenerative disorders: insights on mechanisms from the Long Life Family Study.

Authors:  Alexander M Kulminski; Konstantin G Arbeev; Irina Culminskaya; Svetlana V Ukraintseva; Eric Stallard; Michael A Province; Anatoli I Yashin
Journal:  Rejuvenation Res       Date:  2015-04       Impact factor: 4.663

10.  Protective role of the apolipoprotein E2 allele in age-related disease traits and survival: evidence from the Long Life Family Study.

Authors:  Alexander M Kulminski; Nalini Raghavachari; Konstantin G Arbeev; Irina Culminskaya; Liubov Arbeeva; Deqing Wu; Svetlana V Ukraintseva; Kaare Christensen; Anatoliy I Yashin
Journal:  Biogerontology       Date:  2016-07-22       Impact factor: 4.277

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