Evidence map›Paper›PMID 36074824›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

A single-administration therapeutic interfering particle reduces SARS-CoV-2 viral shedding and pathogenesis in hamsters.

Sonali Chaturvedi, Nathan Beutler, Gustavo Vasen, Michael Pablo, Xinyue Chen, Giuliana Calia, Lauren Buie, Robert Rodick, Davey Smith, Thomas Rogers and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

16 citing papers in PubMed, 22 citations in OpenAlex.

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  9. Journal of traditional and complementary medicine · 2024
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  16. A single-administration therapeutic interfering particle reduces SARS-CoV-2 viral shedding and pathogenesis in hamsters.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Sonali ChaturvediGladstone|UCSF Center for Cell Circuitry, San Francisco, CA 94158.
Nathan BeutlerDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037.ORCID 0000-0003-3240-9524
Gustavo VasenGladstone|UCSF Center for Cell Circuitry, San Francisco, CA 94158.ORCID 0000-0002-5968-2312
Michael PabloGladstone|UCSF Center for Cell Circuitry, San Francisco, CA 94158.
Xinyue ChenGladstone|UCSF Center for Cell Circuitry, San Francisco, CA 94158.ORCID 0000-0001-8288-7685
Giuliana CaliaGladstone|UCSF Center for Cell Circuitry, San Francisco, CA 94158.
Lauren BuieVxBiosciences Inc., Berkeley, CA 94707.ORCID 0000-0003-1749-3772
Robert RodickVxBiosciences Inc., Berkeley, CA 94707.
Davey SmithDivision of Infectious Diseases, Department of Medicine, University of California San Diego, La Jolla, CA 92121.
Thomas RogersDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037.
Leor S WeinbergerGladstone|UCSF Center for Cell Circuitry, San Francisco, CA 94158.
Gladstone Institutes · USScripps Research Institute · USUniversity of California San Diego · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Monica Gandhi · 1988 to 2026
$93.6M
A Gene Drive Therapy for HIV: Single-Administration Intervention for High-RiskGroupsDP1DA051144 · NIDA · J. DAVID GLADSTONE INSTITUTES · PI WEINBERGER, LEOR S · 2020 to 2024
$5.7M
Autonomously deploying, co-evolving SARS-CoV-2 antiviral: a new paradigm for pandemic preventionR01AI169443 · NIAID · VXBIOSCIENCES, INC. · PI RODICK, ROBERT, WEINBERGER, LEOR S · 2021 to 2023
$4.8M
BD FACSAria II Flow CytometerS10RR028962 · NCRR · J. DAVID GLADSTONE INSTITUTES · PI CAVROIS, MARIELLE · 2011 to 2011
$544k
NCRR NIH HHS S10 RR028962NIAID NIH HHS P30 AI027763NIAID NIH HHS R01 AI169443NIDA NIH HHS DP1 DA051144
6 · The paper itself

Abstract

The high transmissibility of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a primary driver of the COVID-19 pandemic. While existing interventions prevent severe disease, they exhibit mixed efficacy in preventing transmission, presumably due to their limited antiviral effects in the respiratory mucosa, whereas interventions targeting the sites of viral replication might more effectively limit respiratory virus transmission. Recently, intranasally administered RNA-based therapeutic interfering particles (TIPs) were reported to suppress SARS-CoV-2 replication, exhibit a high barrier to resistance, and prevent serious disease in hamsters. Since TIPs intrinsically target the tissues with the highest viral replication burden (i.e., respiratory tissues for SARS-CoV-2), we tested the potential of TIP intervention to reduce SARS-CoV-2 shedding. Here, we report that a single, postexposure TIP dose lowers SARS-CoV-2 nasal shedding, and at 5 days postinfection, infectious virus shed is below detection limits in 4 out of 5 infected animals. Furthermore, TIPs reduce shedding of Delta variant or WA-1 from infected to uninfected hamsters. Cohoused "contact" animals exposed to infected, TIP-treated animals exhibited significantly lower viral loads, reduced inflammatory cytokines, no severe lung pathology, and shortened shedding duration compared to animals cohoused with untreated infected animals. TIPs may represent an effective countermeasure to limit SARS-CoV-2 transmission.

Indexed as

COVID-19RNA, MessengerRNA, Small InterferingSARS-CoV-2Virus SheddingAnimalsCricetinaeRNA, MessengerRNA, Small Interferinglipid nanoparticleSARS-CoV-2therapeutic interfering particlestransmissionvariants

Identifiers

PMID36074824
PMCPMC9522362
OpenAlexW4295078876

What OpenQuestion holds

Textmetadata
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.