Evidence map›Paper›PMID 32699847›Full record

ArticlebioRxiv : the preprint server for biology2020

Heparan sulfate assists SARS-CoV-2 in cell entry and can be targeted by approved drugs

Qi Zhang, Catherine Z Chen, Manju Swaroop, Miao Xu, Lihui Wang, Juhyung Lee, Amy Q Wang, Manisha Pradhan, Natalie Hagen, Lu Chen and 7 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. 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, 13 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 1 institution in 1 country.

Qi ZhangLaboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892.
Catherine Z ChenNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Manju SwaroopNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Miao XuNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Lihui WangLaboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892.
Juhyung LeeLaboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892.
Amy Q WangNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Manisha PradhanNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Natalie HagenNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Lu ChenNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Min ShenNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Zhiji LuoNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Xin XuNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Yue XuLaboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892.
Wenwei HuangNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Wei ZhengNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850.
Yihong YeLaboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892.
National Institutes of Health · US

Funding

Drug Repurposing Screening for Rare and Neglected DiseasesZIATR000018 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI ZHENG, WEI · 2015 to 2025
$24.6M
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 cell entry of SARS-CoV-2 has emerged as an attractive drug repurposing target for COVID-19. Here we combine genetics and chemical perturbation to demonstrate that ACE2-mediated entry of SARS-CoV and CoV-2 requires the cell surface heparan sulfate (HS) as an assisting cofactor: ablation of genes involved in HS biosynthesis or incubating cells with a HS mimetic both inhibit Spike-mediated viral entry. We show that heparin/HS binds to Spike directly, facilitates the attachment of viral particles to the cell surface to promote cell entry. We screened approved drugs and identified two classes of inhibitors that act via distinct mechanisms to target this entry pathway. Among the drugs characterized, Mitoxantrone is a potent HS inhibitor, while Sunitinib and BNTX disrupt the actin network to indirectly abrogate HS-assisted viral entry. We further show that drugs of the two classes can be combined to generate a synergized activity against SARS-CoV-2-induced cytopathic effect. Altogether, our study establishes HS as an attachment factor that assists SARS coronavirus cell entry, and reveals drugs capable of targeting this important step in the viral life cycle.

Indexed as

actin cytoskeletoncell entrycoronavirusCOVID-19drug repurposing screenendocytosisheparan sulfateheparinMitoxantroneRaloxifeneSARS-CoV-2Tilorone

Identifiers

PMID32699847
PMCPMC7373127
OpenAlexW3103480729

What OpenQuestion holds

Textmetadata
LicenceCC0
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.