Evidence map›Paper›PMID 33762619›Full record

ArticleScientific reports2021

Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics.

Hu Zhu, Catherine Z Chen, Srilatha Sakamuru, Jinghua Zhao, Deborah K Ngan, Anton Simeonov, Mathew D Hall, Menghang Xia, Wei Zheng, Ruili Huang

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 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

10 authors.

Hu ZhuDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), DPI/NCATS, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Catherine Z ChenDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), DPI/NCATS, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Srilatha SakamuruDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), DPI/NCATS, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Jinghua ZhaoDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), DPI/NCATS, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Deborah K NganDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), DPI/NCATS, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Anton SimeonovDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), DPI/NCATS, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Mathew D HallDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), DPI/NCATS, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Menghang XiaDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), DPI/NCATS, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Wei ZhengDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), DPI/NCATS, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Ruili HuangDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), DPI/NCATS, 9800 Medical Center Drive, Rockville, MD, 20850, USA. huangru@mail.nih.gov.

Funding

Toxicology in the 21st Century Program (Tox21) - Systems ToxicologyZIATR000038 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI XIA, MENGHANG · 2015 to 2025
$5.7M
Toxicology in the 21st Century Program (Tox21) - Computational ToxicologyZIATR000040 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI HUANG, RUILI · 2016 to 2025
$3.5M
COVID-19: Identification and Development of Clinical Candidates to Treat SARS-CoV-2 ZIATR000422 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI LO, DONALD · 2020 to 2021
$3.3M
6 · The paper itself

Abstract

The recent global pandemic of the Coronavirus disease 2019 (COVID-19) caused by the new coronavirus SARS-CoV-2 presents an urgent need for the development of new therapeutic candidates. Many efforts have been devoted to screening existing drug libraries with the hope to repurpose approved drugs as potential treatments for COVID-19. However, the antiviral mechanisms of action of the drugs found active in these phenotypic screens remain largely unknown. In an effort to deconvolute the viral targets in pursuit of more effective anti-COVID-19 drug development, we mined our in-house database of approved drug screens against 994 assays and compared their activity profiles with the drug activity profile in a cytopathic effect (CPE) assay of SARS-CoV-2. We found that the autophagy and AP-1 signaling pathway activity profiles are significantly correlated with the anti-SARS-CoV-2 activity profile. In addition, a class of neurology/psychiatry drugs was found to be significantly enriched with anti-SARS-CoV-2 activity. Taken together, these results provide new insights into SARS-CoV-2 infection and potential targets for COVID-19 therapeutics, which can be further validated by in vivo animal studies and human clinical trials.

Indexed as

COVID-19 Drug TreatmentAnimalsAntiviral AgentsAutophagyChlorocebus aethiopsCOVID-19Databases, GeneticData MiningDrug ApprovalDrug Evaluation, PreclinicalDrug RepositioningHigh-Throughput Nucleotide SequencingHumansMolecular Targeted TherapyPandemicsSARS-CoV-2Antiviral AgentsTranscription Factor AP-1

Identifiers

PMID33762619
PMCPMC7990955

What OpenQuestion holds

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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.