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Using the drug-protein interactome to identify anti-ageing compounds for humans
- Source :
- PLoS Computational Biology, PLoS Comput Biol, PLoS Computational Biology, Vol 15, Iss 1, p e1006639 (2019)
- Publication Year :
- 2018
-
Abstract
- Advancing age is the dominant risk factor for most of the major killer diseases in developed countries. Hence, ameliorating the effects of ageing may prevent multiple diseases simultaneously. Drugs licensed for human use against specific diseases have proved to be effective in extending lifespan and healthspan in animal models, suggesting that there is scope for drug repurposing in humans. New bioinformatic methods to identify and prioritise potential anti-ageing compounds for humans are therefore of interest. In this study, we first used drug-protein interaction information, to rank 1,147 drugs by their likelihood of targeting ageing-related gene products in humans. Among 19 statistically significant drugs, 6 have already been shown to have pro-longevity properties in animal models (p < 0.001). Using the targets of each drug, we established their association with ageing at multiple levels of biological action including pathways, functions and protein interactions. Finally, combining all the data, we calculated a ranked list of drugs that identified tanespimycin, an inhibitor of HSP-90, as the top-ranked novel anti-ageing candidate. We experimentally validated the pro-longevity effect of tanespimycin through its HSP-90 target in Caenorhabditis elegans.<br />Author summary Human life expectancy is continuing to increase worldwide, as a result of successive improvements in living conditions and medical care. Although this trend is to be celebrated, advancing age is the major risk factor for multiple impairments and chronic diseases. As a result, the later years of life are often spent in poor health and lowered quality of life. However, these effects of ageing are not inevitable, because very long-lived people often suffer rather little ill-health at the end of their lives. Furthermore, laboratory experiments have shown that animals fed with specific drugs can live longer and with fewer age-related diseases than their untreated companions. We therefore need to identify drugs with anti-ageing properties for humans. We have used publically available data and a computer-based approach to search for drugs that affect components and processes known to be important in human ageing. This approach worked, because it was able to re-discover several drugs known to increase lifespan in animal models, plus some new ones, including one that we tested experimentally and validated in this study. These drugs are now a high priority for animal testing and for exploring effects on human ageing.
- Subjects :
- Aging
Nematoda
Bioinformatics
Interactome
0302 clinical medicine
Drug Discovery
Medicine and Health Sciences
Medicine
Drug Interactions
Biology (General)
Animal testing
media_common
0303 health sciences
Gene Ontologies
Drug Information
Eukaryota
Animal Models
Genomics
Risk factor (computing)
3. Good health
Drug repositioning
Experimental Organism Systems
Protein Binding
Research Article
Drug
Drug Research and Development
QH301-705.5
media_common.quotation_subject
Longevity
Protective Agents
Research and Analysis Methods
03 medical and health sciences
Quality of life (healthcare)
Model Organisms
Genetics
Animals
Humans
Caenorhabditis elegans
Caenorhabditis elegans Proteins
030304 developmental biology
Pharmacology
Drug Screening
business.industry
Organisms
Computational Biology
Biology and Life Sciences
Genome Analysis
Invertebrates
Ageing
Life expectancy
Animal Studies
Caenorhabditis
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15537358
- Volume :
- 15
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PLoS computational biology
- Accession number :
- edsair.doi.dedup.....00c431442c4b26bdbc202eeae9fcaa49