Genes encoding longevity: from model organisms to humans

M Kuningas, SP Mooijaart, D Van Heemst… - Aging cell, 2008 - Wiley Online Library
Ample evidence from model organisms has indicated that subtle variation in genes can
dramatically influence lifespan. The key genes and molecular pathways that have been …

Fifteen years of progress in understanding frailty and health in aging

K Rockwood, SE Howlett - BMC medicine, 2018 - Springer
The notion of frailty has evolved for more than 15 years. Although there is no consensus
definition, frailty reflects a state of increased vulnerability to adverse health outcomes for …

The biology of frailty in humans and animals: understanding frailty and promoting translation

ES Bisset, SE Howlett - Aging Medicine, 2019 - Wiley Online Library
Frailty is a state of high vulnerability to adverse health outcomes. This concept is used to
explain the heterogeneity in rates of aging in people of the same age. Frailty has important …

The degree of frailty as a translational measure of health in aging

SE Howlett, AD Rutenberg, K Rockwood - Nature Aging, 2021 - nature.com
Frailty is a multiply determined, age-related state of increased risk for adverse health
outcomes. We review how the degree of frailty conditions the development of late-life …

How to slow down the ticking clock: age-associated epigenetic alterations and related interventions to extend life span

AM Galow, S Peleg - Cells, 2022 - mdpi.com
Epigenetic alterations pose one major hallmark of organismal aging. Here, we provide an
overview on recent findings describing the epigenetic changes that arise during aging and …

[HTML][HTML] Deep aging clocks: the emergence of AI-based biomarkers of aging and longevity

A Zhavoronkov, P Mamoshina - Trends in Pharmacological Sciences, 2019 - cell.com
First published in 2016, predictors of chronological and biological age developed using
deep learning (DL) are rapidly gaining popularity in the aging research community. These …

Deep learning for biological age estimation

S Ashiqur Rahman, P Giacobbi, L Pyles… - Briefings in …, 2021 - academic.oup.com
Modern machine learning techniques (such as deep learning) offer immense opportunities
in the field of human biological aging research. Aging is a complex process, experienced by …

Epigenetic age prediction

DJ Simpson, T Chandra - Aging cell, 2021 - Wiley Online Library
Advanced age is the main common risk factor for cancer, cardiovascular disease and
neurodegeneration. Yet, more is known about the molecular basis of any of these groups of …

A frailty index based on deficit accumulation quantifies mortality risk in humans and in mice

K Rockwood, JM Blodgett, O Theou, MH Sun… - Scientific reports, 2017 - nature.com
Although many common diseases occur mostly in old age, the impact of ageing itself on
disease risk and expression often goes unevaluated. To consider the impact of ageing …

Frailty: a tale of two concepts

JD Walston, K Bandeen-Roche - BMC medicine, 2015 - Springer
Frailty is increasingly relevant for clinicians to improve care for vulnerable older adults.
Prominent frailty measures include the frailty phenotype and the frailty index. The frailty …