Evidence map›Paper›PMID 24624136›Full record

ArticleFrontiers in genetics2014

Signaling pathway cloud regulation for in silico screening and ranking of the potential geroprotective drugs.

Alex Zhavoronkov, Anton A Buzdin, Andrey V Garazha, Nikolay M Borisov, Alexey A Moskalev

Abstract read
In one paragraph

Article in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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.

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

31 citing papers in PubMed.

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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

5 authors.

Alex ZhavoronkovDepartment of Biological and Medical Physics, Moscow Institute of Physics and Technology Dolgoprudny, Russia ; First Oncology Research and Advisory Center Moscow, Russia ; The Biogerontology Research Foundation London, UK ; Department of Experimental and Molecular Medicine, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology Moscow, Russia.
Anton A BuzdinDepartment of Biological and Medical Physics, Moscow Institute of Physics and Technology Dolgoprudny, Russia ; First Oncology Research and Advisory Center Moscow, Russia ; Department of Experimental and Molecular Medicine, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology Moscow, Russia ; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences Moscow, Russia.
Andrey V GarazhaDepartment of Biological and Medical Physics, Moscow Institute of Physics and Technology Dolgoprudny, Russia ; First Oncology Research and Advisory Center Moscow, Russia ; Department of Experimental and Molecular Medicine, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology Moscow, Russia ; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences Moscow, Russia.
Nikolay M BorisovDepartment of Biological and Medical Physics, Moscow Institute of Physics and Technology Dolgoprudny, Russia ; First Oncology Research and Advisory Center Moscow, Russia ; Burnasyan Federal Medical Biophysical Center Moscow, Russia.
Alexey A MoskalevDepartment of Biological and Medical Physics, Moscow Institute of Physics and Technology Dolgoprudny, Russia ; Department of Ecology, Syktyvkar State University Syktyvkar, Russia ; Laboratory of Molecular Radiobiology and Gerontology, Institute of Biology of Komi Science Center of Ural Branch of Russian Academy of Sciences Syktyvkar, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The major challenges of aging research include absence of the comprehensive set of aging biomarkers, the time it takes to evaluate the effects of various interventions on longevity in humans and the difficulty extrapolating the results from model organisms to humans. To address these challenges we propose the in silico method for screening and ranking the possible geroprotectors followed by the high-throughput in vivo and in vitro validation. The proposed method evaluates the changes in the collection of activated or suppressed signaling pathways involved in aging and longevity, termed signaling pathway cloud, constructed using the gene expression data and epigenetic profiles of young and old patients' tissues. The possible interventions are selected and rated according to their ability to regulate age-related changes and minimize differences in the signaling pathway cloud. While many algorithmic solutions to simulating the induction of the old into young metabolic profiles in silico are possible, this flexible and scalable approach may potentially be used to predict the efficacy of the many drugs that may extend human longevity before conducting pre-clinical work and expensive clinical trials.

Indexed as

aging-suppressive druggeroprotectorsignaling pathway cloudtranscriptomicsvalidation of drugs

Identifiers

PMID24624136
PMCPMC3940060

What OpenQuestion holds

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Registered trials

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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.