Evidence map›Paper›PMID 37332507›Full record

ArticleFEMS microbes2022

Increased virus dissemination leads to enhanced lung injury but not inflammation during influenza-associated secondary bacterial infection.

Amanda P Smith, Lindey C Lane, Ivan Ramirez Zuniga, David M Moquin, Peter Vogel, Amber M Smith

Open access · goldAbstract read
In one paragraph

Article in FEMS microbes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Multivariate Host-Pathogen Interactions Driving Heterogeneous Viral Shedding and CD8medRxiv : the preprint server for health sciences · 2025
    Article
  3. Quantitatively Mapping Immune Control during Influenza.Current opinion in systems biology · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

6 authors at 2 institutions in 1 country.

Amanda P SmithDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States.
Lindey C LaneDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States.
Ivan Ramirez ZunigaDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States.
David M MoquinDepartment of Anesthesiology, Washington University School of Medicine, St. Louis, MO, United States.
Peter VogelDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, United States.
Amber M SmithDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID https://orcid.org/0000-0002-7092-6904
University of Tennessee Health Science Center · USSt. Jude Children's Research Hospital · US

Funding

Virtual Patient Cohorts to Illuminate Immunologic Drivers of Influenza SeverityR01AI170115 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SMITH, AMBER M · 2022 to 2025
$2.8M
Predictive Modeling of Influenza-Pneumococcal CoinfectionR01AI139088 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SMITH, AMBER M · 2018 to 2022
$2.1M
Quantifying and Validating Immune Response Dynamics for Influenza and Viral-Bacterial PneumoniasR56AI125324 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SMITH, AMBER M · 2016 to 2016
$454k
Bacterial virulence factors contributing to virus-associated pneumoniasK25AI100946 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SMITH, AMBER M · 2012 to 2016
$425k
NIAID NIH HHS K25 AI100946NIAID NIH HHS R01 AI139088NIAID NIH HHS R01 AI170115NIAID NIH HHS R56 AI125324
6 · The paper itself

Abstract

Secondary bacterial infections increase influenza-related morbidity and mortality, particularly if acquired after 5-7 d from the viral onset. Synergistic host responses and direct pathogen-pathogen interactions are thought to lead to a state of hyperinflammation, but the kinetics of the lung pathology have not yet been detailed, and identifying the contribution of different mechanisms to disease is difficult because these may change over time. To address this gap, we examined host-pathogen and lung pathology dynamics following a secondary bacterial infection initiated at different time points after influenza within a murine model. We then used a mathematical approach to quantify the increased virus dissemination in the lung, coinfection time-dependent bacterial kinetics, and virus-mediated and postbacterial depletion of alveolar macrophages. The data showed that viral loads increase regardless of coinfection timing, which our mathematical model predicted and histomorphometry data confirmed was due to a robust increase in the number of infected cells. Bacterial loads were dependent on the time of coinfection and corresponded to the level of IAV-induced alveolar macrophage depletion. Our mathematical model suggested that the additional depletion of these cells following the bacterial invasion was mediated primarily by the virus. Contrary to current belief, inflammation was not enhanced and did not correlate with neutrophilia. The enhanced disease severity was correlated to inflammation, but this was due to a nonlinearity in this correlation. This study highlights the importance of dissecting nonlinearities during complex infections and demonstrated the increased dissemination of virus within the lung during bacterial coinfection and simultaneous modulation of immune responses during influenza-associated bacterial pneumonia.

Indexed as

inflammationinfluenzalung injurymathematical modelingpneumococcusviral–bacterial coinfection

Identifiers

PMID37332507
PMCPMC10117793
OpenAlexW4287378517

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.