Evidence map›Paper›PMID 30970250›Full record

ArticleCell reports2019

Transcriptomics-Based Screening Identifies Pharmacological Inhibition of Hsp90 as a Means to Defer Aging.

Georges E Janssens, Xin-Xuan Lin, Lluís Millan-Ariño, Alan Kavšek, Ilke Sen, Renée I Seinstra, Nicholas Stroustrup, Ellen A A Nollen, Christian G Riedel

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
4.4field-weighted citation impact, top 4% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 98 citations in OpenAlex.

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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

9 authors at 5 institutions in 3 countries.

Georges E JanssensIntegrated Cardio Metabolic Centre (ICMC), Karolinska Institute, 14157 Huddinge, Sweden.
Xin-Xuan LinIntegrated Cardio Metabolic Centre (ICMC), Karolinska Institute, 14157 Huddinge, Sweden; Department of Biosciences and Nutrition, Karolinska Institute, 14157 Huddinge, Sweden.
Lluís Millan-AriñoIntegrated Cardio Metabolic Centre (ICMC), Karolinska Institute, 14157 Huddinge, Sweden; Department of Biosciences and Nutrition, Karolinska Institute, 14157 Huddinge, Sweden.
Alan KavšekIntegrated Cardio Metabolic Centre (ICMC), Karolinska Institute, 14157 Huddinge, Sweden; Department of Biosciences and Nutrition, Karolinska Institute, 14157 Huddinge, Sweden.
Ilke SenIntegrated Cardio Metabolic Centre (ICMC), Karolinska Institute, 14157 Huddinge, Sweden; Department of Biosciences and Nutrition, Karolinska Institute, 14157 Huddinge, Sweden.
Renée I SeinstraEuropean Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen, 9700AD Groningen, the Netherlands.
Nicholas StroustrupCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain.
Ellen A A NollenEuropean Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen, 9700AD Groningen, the Netherlands.
Christian G RiedelIntegrated Cardio Metabolic Centre (ICMC), Karolinska Institute, 14157 Huddinge, Sweden; Department of Biosciences and Nutrition, Karolinska Institute, 14157 Huddinge, Sweden. Electronic address: christian.riedel@ki.se.
Karolinska Institutet · SEIntegrated Cardio Metabolic Centre · SEPompeu Fabra University · ESUniversity Medical Center Groningen · NLUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging strongly influences human morbidity and mortality. Thus, aging-preventive compounds could greatly improve our health and lifespan. Here we screened for such compounds, known as geroprotectors, employing the power of transcriptomics to predict biological age. Using age-stratified human tissue transcriptomes and machine learning, we generated age classifiers and applied these to transcriptomic changes induced by 1,309 different compounds in human cells, ranking these compounds by their ability to induce a "youthful" transcriptional state. Testing the top candidates in C. elegans, we identified two Hsp90 inhibitors, monorden and tanespimycin, which extended the animals' lifespan and improved their health. Hsp90 inhibition induces expression of heat shock proteins known to improve protein homeostasis. Consistently, monorden treatment improved the survival of C. elegans under proteotoxic stress, and its benefits depended on the cytosolic unfolded protein response-inducing transcription factor HSF-1. Taken together, our method represents an innovative geroprotector screening approach and was able to identify a class that acts by improving protein homeostasis.

Indexed as

AgingAnimalsBenzoquinonesCaenorhabditis elegansCaenorhabditis elegans ProteinsHeat Shock Transcription FactorsHSP90 Heat-Shock ProteinsLactams, MacrocyclicMacrolidesSignal TransductionTranscription FactorsTranscriptomeBenzoquinonesCaenorhabditis elegans ProteinsHeat Shock Transcription FactorsHSP90 Heat-Shock ProteinsLactams, MacrocyclicMacrolidesmonordentanespimycinTranscription FactorsagingCaenorhabditis elegansdrug discoverygeroprotectorshealthspanHsp90lifespanmachine learningmonordentanespimycin

Identifiers

PMID30970250
PMCPMC6459000
OpenAlexW2901930262

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.