Evidence map›Paper›PMID 37961552›Full record

ArticlebioRxiv : the preprint server for biology2023

Colloidal aggregation confounds cell-based Covid-19 antiviral screens.

Isabella S Glenn, Lauren N Hall, Mir M Khalid, Melanie Ott, Brian K Shoichet

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

5 · Who and what money

Authors and funding

5 authors.

Isabella S GlennDepartment of Pharmaceutical Chemistry, University of California San Francisco (UCSF), San Francisco, CA, USA.ORCID 0009-0002-6443-1873
Lauren N HallDepartment of Pharmaceutical Chemistry, University of California San Francisco (UCSF), San Francisco, CA, USA.
Mir M KhalidGladstone Institutes, San Francisco, California, United States.ORCID 0000-0002-1862-6795
Melanie OttGladstone Institutes, San Francisco, California, United States.ORCID 0000-0002-5697-1274
Brian K ShoichetDepartment of Pharmaceutical Chemistry, University of California San Francisco (UCSF), San Francisco, CA, USA.ORCID 0000-0002-6098-7367

Funding

Targeting Viroporins and Coronavirus M ProteinU19AI171110 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI James Solomon Fraser · 2022 to 2026
$103.4M
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
NIAID NIH HHS U19 AI171110NIGMS NIH HHS R35 GM122481
6 · The paper itself

Abstract

Colloidal aggregation is one of the largest contributors to false-positives in early drug discovery and chemical biology. Much work has focused on its impact on pure-protein screens; here we consider aggregations role in cell-based infectivity assays in Covid-19 drug repurposing. We began by investigating the potential aggregation of 41 drug candidates reported as SARs-CoV-2 entry inhibitors. Of these, 17 formed colloidal-particles by dynamic light scattering and exhibited detergent-dependent enzyme inhibition. To evaluate antiviral efficacy of the drugs in cells we used spike pseudotyped lentivirus and pre-saturation of the colloids with BSA. The antiviral potency of the aggregators was diminished by at least 10-fold and often entirely eliminated in the presence of BSA, suggesting antiviral activity can be attributed to the non-specific nature of the colloids. In confocal microscopy, the aggregates induced fluorescent puncta of labeled spike protein, consistent with sequestration of the protein on the colloidal particles. Addition of either non-ionic detergent or of BSA disrupted these puncta. These observations suggest that colloidal aggregation is common among cell-based anti-viral drug repurposing, and perhaps cell-based assays more broadly, and offers rapid counter-screens to detect and eliminate these artifacts, allowing the community invest resources in compounds with true potential as a Covid-19 therapeutic.

Identifiers

PMID37961552
PMCPMC10634915

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.