Evidence map›Paper›PMID 34383757›Full record

ArticlePLoS computational biology2021

Quantifying dose-, strain-, and tissue-specific kinetics of parainfluenza virus infection.

Lubna Pinky, Crystal W Burke, Charles J Russell, Amber M Smith

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. 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
1.2field-weighted citation impact, top 21% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Quantitatively Mapping Immune Control during Influenza.Current opinion in systems biology · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  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

4 authors at 3 institutions in 1 country.

Lubna PinkyDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.ORCID 0000-0001-6826-3753
Crystal W BurkeUnited States Army Medical Research Institute for Infectious Diseases, Fort Detrick, Maryland, United States of America.ORCID 0000-0001-8734-8912
Charles J RussellDepartment of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, Tennessee, United States of America.ORCID 0000-0001-5683-3990
Amber M SmithDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.ORCID 0000-0002-7092-6904
University of Tennessee Health Science Center · USSt. Jude Children's Research Hospital · USUnited States Army Medical Research Institute of Infectious Diseases · US

Funding

Predictive Modeling of Influenza-Pneumococcal CoinfectionR01AI139088 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SMITH, AMBER M · 2018 to 2022
$2.1M
NIAID NIH HHS R01 AI139088
6 · The paper itself

Abstract

Human parainfluenza viruses (HPIVs) are a leading cause of acute respiratory infection hospitalization in children, yet little is known about how dose, strain, tissue tropism, and individual heterogeneity affects the processes driving growth and clearance kinetics. Longitudinal measurements are possible by using reporter Sendai viruses, the murine counterpart of HPIV 1, that express luciferase, where the insertion location yields a wild-type (rSeV-luc(M-F*)) or attenuated (rSeV-luc(P-M)) phenotype. Bioluminescence from individual animals suggests that there is a rapid increase in expression followed by a peak, biphasic clearance, and resolution. However, these kinetics vary between individuals and with dose, strain, and whether the infection was initiated in the upper and/or lower respiratory tract. To quantify the differences, we translated the bioluminescence measurements from the nasopharynx, trachea, and lung into viral loads and used a mathematical model together a nonlinear mixed effects approach to define the mechanisms distinguishing each scenario. The results confirmed a higher rate of virus production with the rSeV-luc(M-F*) virus compared to its attenuated counterpart, and suggested that low doses result in disproportionately fewer infected cells. The analyses indicated faster infectivity and infected cell clearance rates in the lung and that higher viral doses, and concomitantly higher infected cell numbers, resulted in more rapid clearance. This parameter was also highly variable amongst individuals, which was particularly evident during infection in the lung. These critical differences provide important insight into distinct HPIV dynamics, and show how bioluminescence data can be combined with quantitative analyses to dissect host-, virus-, and dose-dependent effects.

Indexed as

AnimalsHost-Pathogen InteractionsHumansLuciferasesLuminescenceLungMiceParamyxoviridae InfectionsRespiratory Tract InfectionsSendai virusLuciferases

Identifiers

PMID34383757
PMCPMC8384156
OpenAlexW3190571006

What OpenQuestion holds

Textmetadata
LicenceCC0
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.