Evidence map›Paper›PMID 23302182›Full record

ArticleVirology journal2013

A cell based high-throughput screening approach for the discovery of new inhibitors of respiratory syncytial virus.

Dong-Hoon Chung, Blake P Moore, Daljit S Matharu, Jennifer E Golden, Clinton Maddox, Lynn Rasmussen, Melinda I Sosa, Subramaniam Ananthan, E Lucile White, Fuli Jia and 2 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Virology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. A novel class of TMPRSS2 inhibitors potently block SARS-CoV-2 and MERS-CoV viral entry and protect human epithelial lung cells.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. Article
  6. Article
  7. Article
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  9. Review
  10. Review
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

12 authors at 3 institutions in 1 country.

Dong-Hoon ChungCenter for Predictive Medicine for Biodefense and Emerging Infectious Diseases, University of Louisville, Louisville, KY, USA.
Blake P Moore
Daljit S Matharu
Jennifer E Golden
Clinton Maddox
Lynn Rasmussen
Melinda I Sosa
Subramaniam Ananthan
E Lucile White
Fuli Jia
Colleen B Jonsson
William E Severson
Southern Research Institute · USUniversity of Louisville · USUniversity of Kansas · US

Funding

University of Kansas Specialized Chemistry CenterU54HG005031 · NHGRI · UNIVERSITY OF KANSAS LAWRENCE · PI AUBE, JEFFREY · 2008 to 2013
$21.5M
Southern Research Specialized Biocontainment Screening Center (SRSBSC)U54HG005034 · NHGRI · SOUTHERN RESEARCH INSTITUTE · PI WHITE, E. LUCILE · 2008 to 2011
$10.4M
A Cell Based HTS Approach for the Discovery of New Inhibitors of RSVR03MH082403 · NIMH · SOUTHERN RESEARCH INSTITUTE · PI SEVERSON, WILLIAM E · 2007 to 2007
$25k
NHGRI NIH HHS U54HG005031NHGRI NIH HHS U54 HG005034-01NIMH NIH HHS 1 R03 MH082403-01A1
6 · The paper itself

Abstract

backgroundHuman respiratory syncytial virus (hRSV) is a highly contagious pathogen and is the most common cause of bronchiolitis and pneumonia for infants and children under one year of age. Worldwide, greater than 33 million children under five years of age are affected by hRSV resulting in three million hospitalizations and 200,000 deaths. However, severe lower respiratory tract disease may occur at any age, especially among the elderly or those with compromised cardiac, pulmonary, or immune systems. There is no vaccine commercially available. Existing therapies for the acute infection are ribavirin and the prophylactic humanized monoclonal antibody (Synagis® from MedImmune) that is limited to use in high risk pediatric patients. Thus, the discovery of new inhibitors for hRSV would be clinically beneficial.

resultsWe have developed and validated a 384-well cell-based, high-throughput assay that measures the cytopathic effect of hRSV (strain Long) in HEp-2 cells using a luminescent-based detection system for signal endpoint (Cell Titer Glo®). The assay is sensitive and robust, with Z factors greater than 0.8, signal to background greater than 35, and signal to noise greater than 24. Utilizing this assay, 313,816 compounds from the Molecular Libraries Small Molecule Repository were screened at 10 μM. We identified 7,583 compounds that showed greater than 22% CPE inhibition in the primary screen. The top 2,500 compounds were selected for confirmation screening and 409 compounds showed at least 50% inhibition of CPE and were considered active. We selected fifty-one compounds, based on potency, selectivity and chemical tractability, for further evaluation in dose response and secondary assays Several compounds had SI50 values greater than 3, while the most active compound displayed an SI50 value of 58.9.

conclusionsA robust automated luminescent-based high throughput screen that measures the inhibition of hRSV-induced cytopathic effect in HEp-2 cells for the rapid identification of potential inhibitors from large compound libraries has been developed, optimized and validated. The active compounds identified in the screen represent different classes of molecules, including aryl sulfonylpyrrolidines which have not been previously identified as having anti-hRSV activity.

Indexed as

High-Throughput Screening AssaysAntiviral AgentsAutomation, LaboratoryCytopathogenic Effect, ViralDrug DiscoveryHepatocytesHep G2 CellsHumansLuminescent MeasurementsPotexvirusRespiratory Syncytial Virus, HumanAntiviral Agents

Identifiers

PMID23302182
PMCPMC3621174
OpenAlexW2167687487

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.