Evidence map›Paper›PMID 33791693›Full record

ArticlebioRxiv : the preprint server for biology2021

Phospholipidosis is a shared mechanism underlying the

Tia A Tummino, Veronica V Rezelj, Benoit Fischer, Audrey Fischer, Matthew J O'Meara, Blandine Monel, Thomas Vallet, Ziyang Zhang, Assaf Alon, Henry R O'Donnell and 13 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2021. 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, 6 citations in OpenAlex.

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

23 authors at 8 institutions in 4 countries.

Tia A TumminoDepartment of Pharmaceutical Chemistry, University of California San Francisco (UCSF), San Francisco, CA, USA.
Veronica V RezeljInstitut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, 75724 Paris, Cedex 15, France.
Benoit FischerNovartis Institutes for BioMedical Research, Preclinical Safety, Basel, Switzerland.
Audrey FischerNovartis Institutes for BioMedical Research, Preclinical Safety, Basel, Switzerland.
Matthew J O'MearaDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Blandine MonelInstitut Pasteur, Virus and Immunity Unit, CNRS UMR 3569, 75724 Paris, Cedex 15, France.
Thomas ValletInstitut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, 75724 Paris, Cedex 15, France.
Ziyang ZhangQuantitative Biosciences Institute (QBI), UCSF, San Francisco, CA, USA.
Assaf AlonDepartment of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
Henry R O'DonnellDepartment of Pharmaceutical Chemistry, University of California San Francisco (UCSF), San Francisco, CA, USA.
Jiankun LyuDepartment of Pharmaceutical Chemistry, University of California San Francisco (UCSF), San Francisco, CA, USA.
Heiko SchadtNovartis Institutes for BioMedical Research, Preclinical Safety, Basel, Switzerland.
Kris M WhiteDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nevan J KroganQuantitative Biosciences Institute (QBI), UCSF, San Francisco, CA, USA.
Laszlo UrbanNovartis Institutes for BioMedical Research, Preclinical Safety, Cambridge, MA, USA.
Kevan M ShokatQuantitative Biosciences Institute (QBI), UCSF, San Francisco, CA, USA.
Andrew C KruseDepartment of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
Adolfo García-SastreDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Olivier SchwartzInstitut Pasteur, Virus and Immunity Unit, CNRS UMR 3569, 75724 Paris, Cedex 15, France.
Francesca MorettiNovartis Institutes for BioMedical Research, Preclinical Safety, Basel, Switzerland.
Marco VignuzziInstitut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, 75724 Paris, Cedex 15, France.
Francois PognanNovartis Institutes for BioMedical Research, Preclinical Safety, Basel, Switzerland.
Brian K ShoichetDepartment of Pharmaceutical Chemistry, University of California San Francisco (UCSF), San Francisco, CA, USA.
Novartis (Switzerland) · CHCentre National de la Recherche Scientifique · FRUniversity of California, San Francisco · USHarvard University · USHoward Hughes Medical Institute · USIcahn School of Medicine at Mount Sinai · USGladstone Institutes · USUniversity of Michigan · US

Funding

The role of Listeria cyclic-di-AMP during infection and immunityP01AI063302 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI PORTNOY, DANIEL A · 2004 to 2025
$45.5M
SARS-CoV adaptations through a Systems Biology Lens (SYBIL)U19AI135972 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Adolfo Garcia-Sastre · 2018 to 2026
$27.2M
RESEARCH PROJECT 2U19AI135990 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Melanie Maria Ott · 2018 to 2026
$21.4M
X-ray Screening and Rapid Structure DeterminationP50AI150476 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EMERMAN, MICHAEL · 2019 to 2021
$14.4M
Development and Testing of New Computational Methods for Ligand Discovery and MechanismR35GM122481 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Brian K Shoichet · 2017 to 2026
$8.5M
Novel VP30-host Interactions that Negatively Regulate Ebola Virus InfectionR01AI143292 · NIAID · WASHINGTON UNIVERSITY · PI AMARASINGHE, GAYA K., BASLER, CHRISTOPHER F · 2019 to 2023
$4.0M
Discovery of novel, ubiquitin-regulated mechanisms of TB control by macrophagesR01AI120694 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COX, JEFFERY S, KROGAN, NEVAN J · 2015 to 2019
$3.3M
Decoding the Chlamydia inclusion membrane protein-host protein interactomeR01AI122747 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ENGEL, JOANNE N., KAAKE, ROBYN MIDORI · 2016 to 2020
$3.1M
Inhibitors of the G protein GNAS which drives pancreatic tumorigenesisR01CA244550 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHOKAT, KEVAN M. · 2020 to 2024
$2.0M
Molecular mechanisms of sigma receptor signalingR01GM119185 · NIGMS · HARVARD MEDICAL SCHOOL · PI KRUSE, ANDREW · 2017 to 2020
$1.3M
NCI NIH HHS R01 CA244550NIAID NIH HHS P01 AI063302NIAID NIH HHS P50 AI150476NIAID NIH HHS R01 AI120694NIAID NIH HHS R01 AI122747NIAID NIH HHS R01 AI143292NIAID NIH HHS U19 AI135972NIAID NIH HHS U19 AI135990NIGMS NIH HHS R01 GM119185NIGMS NIH HHS R35 GM122481
6 · The paper itself

Abstract

Repurposing drugs as treatments for COVID-19 has drawn much attention. A common strategy has been to screen for established drugs, typically developed for other indications, that are antiviral in cells or organisms. Intriguingly, most of the drugs that have emerged from these campaigns, though diverse in structure, share a common physical property: cationic amphiphilicity. Provoked by the similarity of these repurposed drugs to those inducing phospholipidosis, a well-known drug side effect, we investigated phospholipidosis as a mechanism for antiviral activity. We tested 23 cationic amphiphilic drugs-including those from phenotypic screens and others that we ourselves had found-for induction of phospholipidosis in cell culture. We found that most of the repurposed drugs, which included hydroxychloroquine, azithromycin, amiodarone, and four others that have already progressed to clinical trials, induced phospholipidosis in the same concentration range as their antiviral activity; indeed, there was a strong monotonic correlation between antiviral efficacy and the magnitude of the phospholipidosis. Conversely, drugs active against the same targets that did not induce phospholipidosis were not antiviral. Phospholipidosis depends on the gross physical properties of drugs, and does not reflect specific target-based activities, rather it may be considered a confound in early drug discovery. Understanding its role in infection, and detecting its effects rapidly, will allow the community to better distinguish between drugs and lead compounds that more directly impact COVID-19 from the large proportion of molecules that manifest this confounding effect, saving much time, effort and cost.

Identifiers

PMID33791693
PMCPMC8010720
OpenAlexW3136423696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.