Dataset Information

Identifying Potential Ageing-Modulating Drugs In Silico.

ABSTRACT: Increasing human life expectancy has posed increasing challenges for healthcare systems. As people age, they become more susceptible to chronic diseases, with an increasing burden of multimorbidity, and the associated polypharmacy. Accumulating evidence from work with laboratory animals has shown that ageing is a malleable process that can be ameliorated by genetic and environmental interventions. Drugs that modulate the ageing process may delay or even prevent the incidence of multiple diseases of ageing. To identify novel, anti-ageing drugs, several studies have developed computational drug-repurposing strategies. We review published studies showing the potential of current drugs to modulate ageing. Future studies should integrate current knowledge with multi-omics, health records, and drug safety data to predict drugs that can improve health in late life.

SUBMITTER: Donertas HM

PROVIDER: S-EPMC6362144 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Identifying Potential Ageing-Modulating Drugs In Silico.

Dönertaş Handan Melike HM Fuentealba Matías M Partridge Linda L Thornton Janet M JM

Trends in endocrinology and metabolism: TEM 20181220 2

Increasing human life expectancy has posed increasing challenges for healthcare systems. As people age, they become more susceptible to chronic diseases, with an increasing burden of multimorbidity, and the associated polypharmacy. Accumulating evidence from work with laboratory animals has shown that ageing is a malleable process that can be ameliorated by genetic and environmental interventions. Drugs that modulate the ageing process may delay or even prevent the incidence of multiple diseases ...[more]

PMID: 30581056

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Dataset Information

Identifying Potential Ageing-Modulating Drugs In Silico.

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Identifying Potential Ageing-Modulating Drugs In Silico.

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