Evidence map›Paper›PMID 29631571›Full record

ArticleBMC systems biology2018

The innate immune response to ischemic injury: a multiscale modeling perspective.

Elena Dimitrova, Leslie A Caromile, Reinhard Laubenbacher, Linda H Shapiro

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2018. 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
0.8field-weighted citation impact, top 27% 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, 14 citations in OpenAlex.

  1. Review
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  7. Systems biology of ferroptosis: A modeling approach.Journal of theoretical biology · 2020
    Article
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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

4 authors at 3 institutions in 1 country.

Elena DimitrovaDepartment of Mathematical Sciences, Clemson University, Clemson, SC, USA.
Leslie A CaromileCenter for Vascular Biology, Department of Cell Biology, University of Connecticut School of Medicine, Farmington, 06030, CT, USA.
Reinhard LaubenbacherCenter for Quantitative Medicine, Department of Cell Biology, University of Connecticut School of Medicine, Farmington, CT, USA. Laubenbacher@uchc.edu.
Linda H ShapiroCenter for Vascular Biology, Department of Cell Biology, University of Connecticut School of Medicine, Farmington, 06030, CT, USA. lshapiro@uchc.edu.
University of Connecticut · USClemson University · USJackson Laboratory · US

Funding

Immune Evasion in Embryonic Stem Cell-based Tissue Repair and Transplantation.R01HL125186 · NHLBI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI FINCK, CHRISTINE M, SHAPIRO, LINDA H · 2015 to 2018
$1.9M
Endocytic Regulation of InflammationR01HL127449 · NHLBI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI SHAPIRO, LINDA H · 2015 to 2018
$1.7M
PSMAs role in signal transduction pathway switching in prostate cancerK01CA188412 · NCI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI CAROMILE, LESLIE ANN · 2014 to 2018
$502k
NCI NIH HHS K01 CA188412NHLBI NIH HHS R01 HL125186NHLBI NIH HHS R01 HL127449
6 · The paper itself

Abstract

backgroundCell death as a result of ischemic injury triggers powerful mechanisms regulated by germline-encoded Pattern Recognition Receptors (PRRs) with shared specificity that recognize invading pathogens and endogenous ligands released from dying cells, and as such are essential to human health. Alternatively, dysregulation of these mechanisms contributes to extreme inflammation, deleterious tissue damage and impaired healing in various diseases. The Toll-like receptors (TLRs) are a prototypical family of PRRs that may be powerful anti-inflammatory targets if agents can be designed that antagonize their harmful effects while preserving host defense functions. This requires an understanding of the complex interactions and consequences of targeting the TLR-mediated pathways as well as technologies to analyze and interpret these, which will then allow the simulation of perturbations targeting specific pathway components, predict potential outcomes and identify safe and effective therapeutic targets.

resultsWe constructed a multiscale mathematical model that spans the tissue and intracellular scales, and captures the consequences of targeting various regulatory components of injury-induced TLR4 signal transduction on potential pro-inflammatory or pro-healing outcomes. We applied known interactions to simulate how inactivation of specific regulatory nodes affects dynamics in the context of injury and to predict phenotypes of potential therapeutic interventions. We propose rules to link model behavior to qualitative estimates of pro-inflammatory signal activation, macrophage infiltration, production of reactive oxygen species and resolution. We tested the validity of the model by assessing its ability to reproduce published data not used in its construction.

conclusionsThese studies will enable us to form a conceptual framework focusing on TLR4-mediated ischemic repair to assess potential molecular targets that can be utilized therapeutically to improve efficacy and safety in treating ischemic/inflammatory injury.

Indexed as

Immunity, InnateModels, ImmunologicalCD13 AntigensCell DeathCell MembraneEndosomesHumansIschemiaMyeloid Differentiation Factor 88Signal TransductionToll-Like Receptor 4CD13 AntigensMyeloid Differentiation Factor 88Toll-Like Receptor 4Boolean networkInflammationIschemic injuryMacrophagesMultiscale dynamic modelTLR4

Identifiers

PMID29631571
PMCPMC5891907
OpenAlexW2794403750

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.