Evidence map›Paper›PMID 31637571›Full record

ArticleGeroScience2020

Human geroprotector discovery by targeting the converging subnetworks of aging and age-related diseases.

Jialiang Yang, Shouneng Peng, Bin Zhang, Sander Houten, Eric Schadt, Jun Zhu, Yousin Suh, Zhidong Tu

Abstract read
In one paragraph

Article in GeroScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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  12. CNNLSTMac4CPred: A Hybrid Model for N4-Acetylcytidine Prediction.Interdisciplinary sciences, computational life sciences · 2022
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  19. Lung Cancer Stage Prediction Using Multi-Omics Data.Computational and mathematical methods in medicine · 2022
    Article
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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

8 authors.

Jialiang YangInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York City, USA.
Shouneng PengInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York City, USA.ORCID http://orcid.org/0000-0002-8812-6438
Bin ZhangInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York City, USA.
Sander HoutenInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York City, USA.
Eric SchadtInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York City, USA.
Jun ZhuInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York City, USA.
Yousin SuhDepartment of Genetics, Albert Einstein College of Medicine, New York, New York City, USA.
Zhidong TuInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York City, USA. zhidong.tu@mssm.edu.ORCID http://orcid.org/0000-0001-7721-1410

Funding

THE IMPACT OF CELLULAR DEFENSE ON THE ROLE OF Ku80 IN GENOME MAINTENANCE AND LONGP01AG017242 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI VIJG, JAN · 1999 to 2023
$46.1M
Validation and characterization of the identified variants associated with human longevity in mouse modelsU19AG056278 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JAN VIJG · 2017 to 2026
$24.5M
Integrative Network Modeling of Cognitive Resilience to Alzheimer's DiseaseR01AG057907 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI EHRLICH, MICHELLE E, HAROUTUNIAN, VAHRAM · 2017 to 2021
$6.3M
Systems Biology based Proteogenomic Translator for Cancer Marker Discovery towards Precision MedicineU24CA210993 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHADT, ERIC E, WANG, PEI · 2016 to 2020
$4.6M
SYSTEMATIC DRUG REPURPOSING TARGETING IMMUNE ACTIVATION NETWORKS IN ALZHEIMER'S DISEASE (AD)RF1AG059319 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI EHRLICH, MICHELLE E, GANDY, SAMUEL E. · 2018 to 2018
$4.2M
Human tissue specific age-related gene expression changes, their genetic regulations and the link to human diseasesR01AG055501 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TU, ZHIDONG · 2018 to 2022
$2.2M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
NCI NIH HHS U24 CA210993NIA NIH HHS P01 AG017242NIA NIH HHS R01 AG055501NIA NIH HHS R01 AG057907NIA NIH HHS RF1 AG059319NIA NIH HHS U19 AG056278NIH HHS S10 OD018522NIH HHS S10 OD026880
6 · The paper itself

Abstract

A key goal of geroscience research is to identify effective interventions to extend human healthspan, the years of healthy life. Currently, majority of the geroprotectors are found by screening compounds in model organisms; whether they will be effective in humans is largely unknown. Here we present a new strategy called ANDRU (aging network based drug discovery) to help the discovery of human geroprotectors. It first identifies human aging subnetworks that putatively function at the interface between aging and age-related diseases; it then screens for pharmacological interventions that may "reverse" the age-associated transcriptional changes occurred in these subnetworks. We applied ANDRU to human adipose gene expression data from the Genotype Tissue Expression (GTEx) project. For the top 31 identified compounds, 19 of them showed at least some evidence supporting their function in improving metabolic traits or lifespan, which include type 2 diabetes drugs such as pioglitazone. As the query aging genes were refined to the ones with more intimate links to diseases, ANDRU identified more meaningful drug hits than the general approach without considering the underlying network structures. In summary, ANDRU represents a promising human data-driven strategy that may speed up the discovery of interventions to extend human healthspan.

Indexed as

Diabetes Mellitus, Type 2AgingHumansLongevityAge-related diseasesAgingDrug repurposingGeroscienceNetwork pharmacologyPharmacogenomics

Identifiers

PMID31637571
PMCPMC7031474

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.