Evidence map›Paper›PMID 27464342›Full record

ArticlePLoS computational biology2016

Model-Based Characterization of Inflammatory Gene Expression Patterns of Activated Macrophages.

Julia Rex, Ute Albrecht, Christian Ehlting, Maria Thomas, Ulrich M Zanger, Oliver Sawodny, Dieter Häussinger, Michael Ederer, Ronny Feuer, Johannes G Bode

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

22 citing papers in PubMed, 42 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Julia RexInstitute for System Dynamics, University of Stuttgart, Stuttgart, Germany.ORCID 0000-0002-8189-9243
Ute AlbrechtClinic of Gastroenterology, Hepatology and Infectious Diseases, Heinrich-Heine-University, Düsseldorf, Germany.
Christian EhltingClinic of Gastroenterology, Hepatology and Infectious Diseases, Heinrich-Heine-University, Düsseldorf, Germany.
Maria ThomasDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, and University of Tübingen, Tübingen, Germany.
Ulrich M ZangerDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, and University of Tübingen, Tübingen, Germany.
Oliver SawodnyInstitute for System Dynamics, University of Stuttgart, Stuttgart, Germany.
Dieter HäussingerClinic of Gastroenterology, Hepatology and Infectious Diseases, Heinrich-Heine-University, Düsseldorf, Germany.
Michael EdererInstitute for System Dynamics, University of Stuttgart, Stuttgart, Germany.ORCID 0000-0002-9871-0216
Ronny FeuerInstitute for System Dynamics, University of Stuttgart, Stuttgart, Germany.ORCID 0000-0002-5653-7670
Johannes G BodeClinic of Gastroenterology, Hepatology and Infectious Diseases, Heinrich-Heine-University, Düsseldorf, Germany.
Heinrich Heine University Düsseldorf · DEUniversity of Stuttgart · DEDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrophages are cells with remarkable plasticity. They integrate signals from their microenvironment leading to context-dependent polarization into classically (M1) or alternatively (M2) activated macrophages, representing two extremes of a broad spectrum of divergent phenotypes. Thereby, macrophages deliver protective and pro-regenerative signals towards injured tissue but, depending on the eliciting damage, may also be responsible for the generation and aggravation of tissue injury. Although incompletely understood, there is emerging evidence that macrophage polarization is critical for these antagonistic roles. To identify activation-specific expression patterns of chemokines and cytokines that may confer these distinct effects a systems biology approach was applied. A comprehensive literature-based Boolean model was developed to describe the M1 (LPS-activated) and M2 (IL-4/13-activated) polarization types. The model was validated using high-throughput transcript expression data from murine bone marrow derived macrophages. By dynamic modeling of gene expression, the chronology of pathway activation and autocrine signaling was estimated. Our results provide a deepened understanding of the physiological balance leading to M1/M2 activation, indicating the relevance of co-regulatory signals at the level of Akt1 or Akt2 that may be important for directing macrophage polarization.

Indexed as

AnimalsCells, CulturedComputational BiologyCytokinesGene ExpressionGene Expression ProfilingInflammationMacrophage ActivationMacrophagesMiceReproducibility of ResultsCytokines

Identifiers

PMID27464342
PMCPMC4963125
OpenAlexW2485389984

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.