Evidence map›Paper›PMID 32574205›Full record

ArticlePloS one2020

Immunotherapy targeting the Streptococcus pyogenes M protein or streptolysin O to treat or prevent influenza A superinfection.

Andrea L Herrera, Christopher Van Hove, Mary Hanson, James B Dale, Rodney K Tweten, Victor C Huber, Diego Diel, Michael S Chaussee

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. [Research progress on toxic shock syndrome due to group AZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026
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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

8 authors at 4 institutions in 1 country.

Andrea L HerreraDivision of Basic Biomedical Sciences, The Sanford School of Medicine of the University of South Dakota, Vermillion, SD, United States of America.
Christopher Van HoveDivision of Basic Biomedical Sciences, The Sanford School of Medicine of the University of South Dakota, Vermillion, SD, United States of America.
Mary HansonDivision of Basic Biomedical Sciences, The Sanford School of Medicine of the University of South Dakota, Vermillion, SD, United States of America.
James B DaleDepartment of Medicine, Division of Infectious Diseases, University of Tennessee Health Science Center, Memphis, TN, United States of America.
Rodney K TwetenDepartment of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America.
Victor C HuberDivision of Basic Biomedical Sciences, The Sanford School of Medicine of the University of South Dakota, Vermillion, SD, United States of America.
Diego DielDepartment of Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD, United States of America.
Michael S ChausseeDivision of Basic Biomedical Sciences, The Sanford School of Medicine of the University of South Dakota, Vermillion, SD, United States of America.
University of South Dakota · USSouth Dakota State University · USUniversity of Oklahoma Health Sciences Center · USUniversity of Tennessee Health Science Center · US

Funding

Pore Formation by Cholesterol Dependent CytolysinsR37AI037657 · NIAID · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI TWETEN, RODNEY K. · 2016 to 2025
$4.8M
Structure-Based Design of a Broadly Protective Group A Streptococcal VaccineR01AI132117 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI DALE, JAMES B. · 2017 to 2021
$3.9M
Immunotherapeutic Intervention of Influenza-S. pyogenes coinfectionsR21AI115087 · NIAID · UNIVERSITY OF SOUTH DAKOTA · PI CHAUSSEE, MICHAEL S · 2016 to 2017
$404k
NIAID NIH HHS R01 AI132117NIAID NIH HHS R21 AI115087NIAID NIH HHS R37 AI037657
6 · The paper itself

Abstract

Viral infections complicated by a bacterial infection are typically referred to as coinfections or superinfections. Streptococcus pyogenes, the group A streptococcus (GAS), is not the most common bacteria associated with influenza A virus (IAV) superinfections but did cause significant mortality during the 2009 influenza pandemic even though all isolates are susceptible to penicillin. One approach to improve the outcome of these infections is to use passive immunization targeting GAS. To test this idea, we assessed the efficacy of passive immunotherapy using antisera against either the streptococcal M protein or streptolysin O (SLO) in a murine model of IAV-GAS superinfection. Prophylactic treatment of mice with antiserum to either SLO or the M protein decreased morbidity compared to mice treated with non-immune sera; however, neither significantly decreased mortality. Therapeutic use of antisera to SLO decreased morbidity compared to mice treated with non-immune sera but neither antisera significantly reduced mortality. Overall, the results suggest that further development of antibodies targeting the M protein or SLO may be a useful adjunct in the treatment of invasive GAS diseases, including IAV-GAS superinfections, which may be particularly important during influenza pandemics.

Indexed as

AnimalsAntibodies, BacterialAntigens, BacterialBacterial Outer Membrane ProteinsBacterial ProteinsCarrier ProteinsCoinfectionFemaleHost-Pathogen InteractionsHumansImmune SeraImmunotherapyInfluenza A virusMice, Inbred BALB COrthomyxoviridae InfectionsRabbitsAntibodies, BacterialAntigens, BacterialBacterial Outer Membrane ProteinsBacterial ProteinsCarrier ProteinsImmune Serastreptococcal M proteinstreptolysin OStreptolysins

Identifiers

PMID32574205
PMCPMC7310742
OpenAlexW3036116105

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.