Evidence map›Paper›PMID 27770812›Full record

ArticleBMC systems biology2016

Combining laboratory and mathematical models to infer mechanisms underlying kinetic changes in macrophage susceptibility to an RNA virus.

Andrea Doeschl-Wilson, Alison Wilson, Jens Nielsen, Hans Nauwynck, Alan Archibald, Tahar Ait-Ali

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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 3 institutions in 3 countries.

Andrea Doeschl-WilsonThe Roslin Institute & R(D)SVS, University of Edinburgh, Easter Bush, Edinburgh, UK. Andrea.Wilson@roslin.ed.ac.uk.ORCID 0000-0002-2658-6973
Alison WilsonThe Roslin Institute & R(D)SVS, University of Edinburgh, Easter Bush, Edinburgh, UK.
Jens NielsenDepartment of Mircrobiological Diagnostics and Virology, Statens Serum Institute, Copenhagen, Denmark.
Hans NauwynckDepartment of Virology, Parasitology and Immunity, Ghent University, Ghent, Belgium.
Alan ArchibaldThe Roslin Institute & R(D)SVS, University of Edinburgh, Easter Bush, Edinburgh, UK.
Tahar Ait-AliThe Roslin Institute & R(D)SVS, University of Edinburgh, Easter Bush, Edinburgh, UK.
Roslin Institute · GBGhent University · BEStatens Serum Institut · DK

Funding

Biotechnology and Biological Sciences Research Council BB/J004235/1Biotechnology and Biological Sciences Research Council BB/J004324/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211554
6 · The paper itself

Abstract

backgroundMacrophages are essential to innate immunity against many pathogens, but some pathogens also target macrophages as routes to infection. The Porcine Reproductive and Respiratory Syndrome virus (PRRSV) is an RNA virus that infects porcine alveolar macrophages (PAMs) causing devastating impact on global pig production. Identifying the cellular mechanisms that mediate PAM susceptibility to the virus is crucial for developing effective interventions. Previous evidence suggests that the scavenger receptor CD163 is essential for productive infection of PAMs with PRRSV. Here we use an integrative in-vitro-in-silico modelling approach to determine whether and how PAM susceptibility to PRRSV changes over time, to assess the role of CD163 expression on such changes, and to infer other potential causative mechanisms altering cell susceptibility.

resultsOur in-vitro experiment showed that PAM susceptibility to PRRSV changed considerably over incubation time. Moreover, an increasing proportion of PAMs apparently lacking CD163 were found susceptible to PRRSV at the later incubation stages, thus conflicting with current understanding that CD163 is essential for productive infection of PAMs with PRRSV. We developed process based dynamic mathematical models and fitted these to the data to assess alternative hypotheses regarding potential underlying mechanisms for the observed susceptibility and biomarker trends. The models informed by our data support the hypothesis that although CD163 may have enhanced cell susceptibility, it was not essential for productive infection in our study. Instead the models promote the existence of a reversible cellular state, such as macrophage polarization, mediated in a density dependent manner by autocrine factors, to be responsible for the observed kinetics in cell susceptibility.

conclusionsOur dynamic model-inference approach provides strong support that PAM susceptibility to the PRRS virus is transient, reversible and can be mediated by compounds produced by the target cells themselves, and that these can render PAMs lacking the CD163 receptor susceptible to PRRSV. The results have implications for the development of therapeutics aiming to boost target cell resistance and prompt future investigation of dynamic changes in macrophage susceptibility to PRRSV and other viruses.

Indexed as

LaboratoriesModels, BiologicalAnimalsAntigens, CDAntigens, Differentiation, MyelomonocyticCD163 AntigenGene Expression RegulationKineticsMacrophagesPorcine respiratory and reproductive syndrome virusReceptors, Cell SurfaceAntigens, CDAntigens, Differentiation, MyelomonocyticCD163 AntigenReceptors, Cell SurfaceAlveolar macrophagesCD163Host cell susceptibilityHost-pathogen interactionInfection dynamicsMathematical modelPigsPRRSVStatistical inference

Identifiers

PMID27770812
PMCPMC5075420
OpenAlexW2532335941

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.