Evidence map›Paper›PMID 34909773›Full record

ArticlebioRxiv : the preprint server for biology2021

Elucidating design principles for engineering cell-derived vesicles to inhibit SARS-CoV-2 infection.

Taylor F Gunnels, Devin M Stranford, Roxana E Mitrut, Neha P Kamat, Joshua N Leonard

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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Taylor F GunnelsDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
Devin M StranfordCenter for Synthetic Biology, Northwestern University, Evanston, IL 60208, USA.
Roxana E MitrutCenter for Synthetic Biology, Northwestern University, Evanston, IL 60208, USA.
Neha P KamatDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
Joshua N LeonardCenter for Synthetic Biology, Northwestern University, Evanston, IL 60208, USA.
Northwestern University · US

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LEONIDAS C. PLATANIAS · 1993 to 2026
$153.9M
Developing Capacity to Evaluate Training Programs via Development of Human, Institutional and Social CapitalT32GM008449 · NIGMS · NORTHWESTERN UNIVERSITY · PI LEONARD, JOSHUA NATHANIEL · 1993 to 2023
$7.8M
NCI NIH HHS P30 CA060553NIGMS NIH HHS T32 GM008449
6 · The paper itself

Abstract

The ability of pathogens to develop drug resistance is a global health challenge. The SARS-CoV-2 virus presents an urgent need wherein several variants of concern resist neutralization by monoclonal antibody therapies and vaccine-induced sera. Decoy nanoparticles-cell-mimicking particles that bind and inhibit virions-are an emerging class of therapeutics that may overcome such drug resistance challenges. To date, we lack quantitative understanding as to how design features impact performance of these therapeutics. To address this gap, here we perform a systematic, comparative evaluation of various biologically-derived nanoscale vesicles, which may be particularly well-suited to sustained or repeated administration in the clinic due to low toxicity, and investigate their potential to inhibit multiple classes of model SARS-CoV-2 virions. A key finding is that such particles exhibit potent antiviral efficacy across multiple manufacturing methods, vesicle subclasses, and virus-decoy binding affinities. In addition, these cell-mimicking vesicles effectively inhibit model SARS-CoV-2 variants that evade monoclonal antibodies and recombinant protein-based decoy inhibitors. This study provides a foundation of knowledge that may guide the design of decoy nanoparticle inhibitors for SARS-CoV-2 and other viral infections.

Identifiers

PMID34909773
PMCPMC8669840
OpenAlexW4200035885

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.