Evidence map›Paper›PMID 29959820›Full record

ArticleAging cell2018

Gene expression-based drug repurposing to target aging.

Handan Melike Dönertaş, Matías Fuentealba Valenzuela, Linda Partridge, Janet M Thornton

Registry-linked trialAbstract read
In one paragraph

Article in Aging cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05878535 (The Efficacy And Safety Of Metformin For The Treatment Of Atrial Fibrillation), which is not on this map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05878535 phase2unknown statusnot on this mapstarted 2024, after this paper: background citation

The Efficacy And Safety Of Metformin For The Treatment Of Atrial Fibrillation

TypeinterventionalSponsorArab Contractors Medical CentreRan2024 to 2025Enrolled770ConditionsAtrial FibrillationArmsMetformin, Placebo
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Contrastive learning in protein language space predicts interactions between drugs and protein targets.Proceedings of the National Academy of Sciences of the United States of America · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Handan Melike DönertaşEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID 0000-0002-9788-6535
Matías Fuentealba ValenzuelaEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID 0000-0001-7353-4394
Linda PartridgeDepartment of Genetics, Evolution and Environment, Institute of Healthy Aging, University College London, London, UK.ORCID 0000-0001-9615-0094
Janet M ThorntonEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID 0000-0003-0824-4096

Funding

Wellcome Trust 098565/Z/12/Z
6 · The paper itself

Abstract

Aging is the largest risk factor for a variety of noncommunicable diseases. Model organism studies have shown that genetic and chemical perturbations can extend both lifespan and healthspan. Aging is a complex process, with parallel and interacting mechanisms contributing to its aetiology, posing a challenge for the discovery of new pharmacological candidates to ameliorate its effects. In this study, instead of a target-centric approach, we adopt a systems level drug repurposing methodology to discover drugs that could combat aging in human brain. Using multiple gene expression data sets from brain tissue, taken from patients of different ages, we first identified the expression changes that characterize aging. Then, we compared these changes in gene expression with drug-perturbed expression profiles in the Connectivity Map. We thus identified 24 drugs with significantly associated changes. Some of these drugs may function as antiaging drugs by reversing the detrimental changes that occur during aging, others by mimicking the cellular defence mechanisms. The drugs that we identified included significant number of already identified prolongevity drugs, indicating that the method can discover de novo drugs that meliorate aging. The approach has the advantages that using data from human brain aging data, it focuses on processes relevant in human aging and that it is unbiased, making it possible to discover new targets for aging studies.

Indexed as

Drug RepositioningGene Expression Regulation, DevelopmentalAgingAlgorithmsBrainGene Expression ProfilingGene OntologyHumansLongevityRNARNAagingdrug repurposinggene expressionthe Connectivity Map

Identifiers

PMID29959820
PMCPMC6156541

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.