Evidence map›Paper›PMID 42823455›Full record

ArticleNature communications2026

Gene regulatory network analysis identifies auranofin as an anti-atherosclerotic drug.

Letizia Amadori, Claudia Calcagno, Ravneet Kaur, Hauke Horstmann, Tianshe He, Michael Gildea, Ken Sakurai, Peik Sean Chong, Roza Shamailova, Sonum Naidu and 15 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

25 authors.

Letizia AmadoriDepartment of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.ORCID 0000-0003-1125-4631
Claudia CalcagnoBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ravneet KaurDepartment of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Hauke HorstmannDepartment of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.ORCID 0000-0002-9971-1800
Tianshe HeDepartment of Psychiatry, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.ORCID 0000-0001-9752-1256
Michael GildeaDepartment of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Ken SakuraiBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Peik Sean ChongDepartment of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Roza ShamailovaDepartment of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Sonum NaiduBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Christopher A HillDepartment of Medicine, Division of Cardiology, Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0003-3302-3658
Swathy SajjaDepartment of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Jordan BrescianiDepartment of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.ORCID 0000-0001-5986-1807
Maxwell La ForestDepartment of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.ORCID 0000-0003-1794-0413
Adam A GhotbiBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Raphael SolerBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Christopher FariesBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Edward A FisherDepartment of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.ORCID 0000-0001-9802-143X
Zahi A FayadBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-3439-7347
Nathanael R FillmoreVA Boston Cooperative Studies Program, MAVERIC, VA Boston Healthcare System, Boston, MA, USA.ORCID 0000-0002-8058-3423
Jaime Ramos-CejudoDepartment of Psychiatry, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.ORCID 0000-0002-0993-9909
Benjamin ReadheadDepartment of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0003-4353-9965
Joel T DudleyDepartment of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Johan L M Bjorkegren *Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0003-1945-7425
Chiara Giannarelli *Department of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA. chiara.giannarelli@nyulangone.org.ORCID 0000-0003-2473-6058

Funding

Network-driven drug repurposing approaches to treat coronary artery diseaseR21TR001739 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BJORKEGREN, JOHAN M, GIANNARELLI, CHIARA · 2016 to 2017
$678k
Network-driven drug repurposing in cardiovascular disease: NDRA clinical trial planningU34TR003594 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GIANNARELLI, CHIARA · 2021 to 2021
$399k
U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) R21TR001739U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) U34TR003594
6 · The paper itself

Abstract

Gene-regulatory networks (GRNs) offer a mechanistic framework for dissecting the complex molecular and genetic architecture of coronary artery disease and for identifying new therapeutic opportunities. Here, we present a GRN-driven drug-repurposing strategy that integrates transcriptional signatures induced by silencing key drivers of the human arterial wall foam cell regulator GRN 42 with drug-induced gene expression profiles from the NIH LINCS program. In vitro screening of top candidate compounds validates the computational predictions, identifying candidate foam cell modulators and showing that auranofin, an FDA-approved gold salt used to treat rheumatoid arthritis, effectively reduces foam cell formation. In vivo, auranofin attenuates atherosclerosis and inflammation in both male mice and rabbits. Clinically, auranofin was associated with reduced cardiovascular risk in a retrospective cohort of patients with rheumatoid arthritis. Together, these findings show that a GRN-based drug-repurposing framework, coupled with preclinical and clinical validation, can uncover new therapeutic applications for existing drugs, including auranofin, in coronary artery disease.

Indexed as

AtherosclerosisAuranofinGene Regulatory NetworksAnimalsArthritis, RheumatoidCoronary Artery DiseaseDrug RepositioningFoam CellsGene Expression ProfilingHumansMaleMiceRabbitsAuranofin

Identifiers

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.