Evidence map›Paper›PMID 35388947›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2022

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

Erratum issuedAbstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Cell-cell communication: new insights and clinical implications.Signal transduction and targeted therapy · 2024
    Review
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  3. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Taylor F GunnelsDepartment of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA.ORCID 0000-0002-2498-2630
Devin M StranfordCenter for Synthetic Biology, Northwestern University, Evanston, IL, 60208, USA.ORCID 0000-0001-9063-6923
Roxana E MitrutCenter for Synthetic Biology, Northwestern University, Evanston, IL, 60208, USA.ORCID 0000-0002-2283-1767
Neha P KamatDepartment of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA.ORCID 0000-0001-9362-6106
Joshua N LeonardCenter for Synthetic Biology, Northwestern University, Evanston, IL, 60208, USA.ORCID 0000-0003-4359-6126

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 NCI CA060553NCI NIH HHS P30 CA060553NIGMS NIH HHS T32 GM008449NIH HHS T32GM008449
6 · The paper itself

Abstract

The ability of pathogens to develop drug resistance is a global health challenge. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents an urgent need wherein several variants of concern resist neutralization by monoclonal antibody (mAb) 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, quantitative understanding as to how design features impact performance of these therapeutics is lacking. To address this gap, this study presents 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 investigates 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 mAbs 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.

Indexed as

COVID-19SARS-CoV-2Antibodies, MonoclonalAntiviral AgentsHumansSpike Glycoprotein, CoronavirusAntibodies, MonoclonalAntiviral AgentsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2ACE2decoysextracellular vesiclesnanovesiclesSARS-CoV-2

Identifiers

PMID35388947
PMCPMC9106922

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.