Evidence map›Paper›PMID 30002366›Full record

ArticleNature communications2018

Network-based approach to prediction and population-based validation of in silico drug repurposing.

Feixiong Cheng, Rishi J Desai, Diane E Handy, Ruisheng Wang, Sebastian Schneeweiss, Albert-László Barabási, Joseph Loscalzo

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 287 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
287citing papers in PubMed, 1 pooled it
23.5field-weighted citation impact, top 1% 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

287 citing papers in PubMed, 1 synthesis or guideline pooled it, 558 citations in OpenAlex.

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227 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 2 countries.

Feixiong ChengCenter for Complex Networks Research and Department of Physics, Northeastern University, Boston, MA, 02115, USA.
Rishi J DesaiDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0003-0299-7273
Diane E HandyDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Ruisheng WangDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Sebastian SchneeweissDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Albert-László BarabásiCenter for Complex Networks Research and Department of Physics, Northeastern University, Boston, MA, 02115, USA.
Joseph LoscalzoDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. jloscalzo@rics.bwh.harvard.edu.
Brigham and Women's Hospital · USNortheastern University · US

Funding

Genomic Analysis of Network Perturbations in Human DiseaseP50HG004233 · NHGRI · DANA-FARBER CANCER INST · PI VIDAL, MARC · 2007 to 2017
$31.6M
Statistical GeneticsP01HL083069 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LAZARUS, ROSS · 2007 to 2011
$12.2M
TRANSLATIONAL PHARMACOLOGY COREP50GM107618 · NIGMS · HARVARD MEDICAL SCHOOL · PI GOLAN, DAVID E. · 2014 to 2018
$10.8M
Center for Integrated Approaches to Undiagnosed DiseasesU01HG007690 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2014 to 2022
$10.4M
The Asthma BioRepository for Integrative Genomics ResearchRC2HL101543 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI RABY, BENJAMIN ALEXANDER, WEISS, SCOTT T · 2009 to 2010
$8.3M
Mapping the first half of the REFERENCE human binary protein interactomeU01HG001715 · NHGRI · DANA-FARBER CANCER INST · PI HILL, DAVID E., ROTH, FREDERICK P · 2012 to 2014
$5.4M
Resource ProjectU41HG001715 · NHGRI · DANA-FARBER CANCER INST · PI HILL, DAVID E. · 2015 to 2017
$4.7M
GPx-3 and Peroxide Flux in the Endothelial CellR37HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2007 to 2016
$4.3M
The Phathophenotype Landscape of Complex DiseaseU01HL108630 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2011 to 2014
$2.7M
An individualized network medicine infrastructure for precision cardio-oncologyK99HL138272 · NHLBI · NORTHEASTERN UNIVERSITY · PI CHENG, FEIXIONG · 2017 to 2017
$86k
NHGRI NIH HHS P50 HG004233NHGRI NIH HHS U01 HG001715NHGRI NIH HHS U01 HG007690NHGRI NIH HHS U41 HG001715NHLBI NIH HHS K99 HL138272NHLBI NIH HHS P01 HL083069NHLBI NIH HHS R37 HL061795NHLBI NIH HHS RC2 HL101543NHLBI NIH HHS U01 HL108630NIGMS NIH HHS P50 GM107618Patient-Centered Outcomes Research Institute (PCORI) ME-1303-5638U.S. Department of Health & Human Services | National Institutes of Health (NIH) GM 107618U.S. Department of Health & Human Services | National Institutes of Health (NIH) HG007690U.S. Department of Health & Human Services | National Institutes of Health (NIH) HL016795U.S. Department of Health & Human Services | National Institutes of Health (NIH) HL106373U.S. Department of Health & Human Services | National Institutes of Health (NIH) HL108630
6 · The paper itself

Abstract

Here we identify hundreds of new drug-disease associations for over 900 FDA-approved drugs by quantifying the network proximity of disease genes and drug targets in the human (protein-protein) interactome. We select four network-predicted associations to test their causal relationship using large healthcare databases with over 220 million patients and state-of-the-art pharmacoepidemiologic analyses. Using propensity score matching, two of four network-based predictions are validated in patient-level data: carbamazepine is associated with an increased risk of coronary artery disease (CAD) [hazard ratio (HR) 1.56, 95% confidence interval (CI) 1.12-2.18], and hydroxychloroquine is associated with a decreased risk of CAD (HR 0.76, 95% CI 0.59-0.97). In vitro experiments show that hydroxychloroquine attenuates pro-inflammatory cytokine-mediated activation in human aortic endothelial cells, supporting mechanistically its potential beneficial effect in CAD. In summary, we demonstrate that a unique integration of protein-protein interaction network proximity and large-scale patient-level longitudinal data complemented by mechanistic in vitro studies can facilitate drug repurposing.

Indexed as

Computer SimulationCarbamazepineCoronary Artery DiseaseDatabases, FactualDrug RepositioningHumansHydroxychloroquinePrognosisPropensity ScoreProportional Hazards ModelsProtein Interaction MapsReproducibility of ResultsRisk AssessmentRisk FactorsCarbamazepineHydroxychloroquine

Identifiers

PMID30002366
PMCPMC6043492
OpenAlexW2826750344

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.