Therapeutic Manipulation of Ageing: Repurposing Old Dogs and Discovering New Tricks
Open accessAbstract
Ageing is a leading risk factor for many debilitating diseases. While age-related diseases have been the subject of over a century of intense investigation, until recently, physiological ageing was considered unavoidable. Pharmacological and genetic studies have since shown that ageing is a malleable process and that its abrogation can prevent its associated diseases. This review summarises a sample of the most promising efforts to deliver the products of ageing research to the clinic. Current efforts include the use of clinically approved drugs that have since been repurposed, as well as the development of novel therapeutics, to target ageing. Furthermore, ongoing research has sought reliable biomarkers of ageing that will accelerate the development of such therapeutics. Development of these technologies will improve quality of late-life and help relieve the enormous stress placed on state healthcare systems by a rapidly ageing global population. Thus, for both medical and socioeconomic reasons, it is imperative that ageing is made to yield to intervention.
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Market-tested drugs have already passed clinical trials and have proven their safety and efficacy for their primary application, allowing drastic reduction of time for new market approval.
“market-tested drugs have already passed clinical trials and have proven their safety and efficacy for their primary application, allowing for drastically reducing the time for new market approval [40].”
From Multi-Target Mechanisms of Phytochemicals in Alzheimer’s Disease: Effects on Oxidative Stress, Neuroinflammation and Protein Aggregation (2022) · cites this paper as [40]
Drug repurposing offers advantages such as reaching wider markets and greater numbers of patients and bypassing much of the exploratory work needed to identify new molecules, new mechanisms of action, formulation, manufacturing procedures, and pharmacokinetics.
“Drug repurposing offers different advantages such as reaching wider markets and greater numbers of patients and bypassing much of the exploratory work needed to identify new molecules, new mechanisms of action, formulation, manufacturing procedures and pharmacokinetics.”
From Multi-Target Mechanisms of Phytochemicals in Alzheimer’s Disease: Effects on Oxidative Stress, Neuroinflammation and Protein Aggregation (2022) · cites this paper as [40]
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“Finally, market-tested drugs have already passed clinical trials and have proven their safety and efficacy for their primary application, allowing for drastically reducing the time for new market approval [40].”
Background
- Authors
- Mallikarjun, V., & Swift, J.
- Affiliations
- Wellcome Centre for Cell-Matrix Research (GB)
- Corresponding author
- Mallikarjun, Venkatesh
- Swift, Joe
- Venue
- EBioMedicine
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 14
- Pages
- 24-31
- ISSN
- 2352-3964 (ISSN-L)
- PMC
- PMC5161440
- OpenAlex
- W2551549267
- Cited by
- 14
- References
- 77
- Citations by year
- 2022: 1 · 2021: 4 · 2020: 1 · 2019: 5 · 2018: 2 · 2017: 1
- FWCI
- 0.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- EBioMedicine (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion, other-oa)
- Funders
- Biotechnology and Biological Sciences Research Council (BB/L024551/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Health Sciences › Medicine › Geriatrics and Gerontology › Sirtuins and Resveratrol in Medicine
- Keywords
- aging, age-related diseases, drug repurposing, aging biomarkers, population aging
- MeSH terms
- Aging, Animals, Humans, Quality of Life, Biomarkers, Drug Discovery, Drug Repositioning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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