Evidence map›Paper›PMID 30387078›Full record

ArticleBulletin of mathematical biology2019

Modeling the Bistable Dynamics of the Innate Immune System.

Sarah Kadelka, Brittany P Boribong, Liwu Li, Stanca M Ciupe

Open access · greenAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2019. 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
0.4field-weighted citation impact, top 40% 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, 9 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

4 authors at 1 institution in 1 country.

Sarah KadelkaDepartment of Mathematics, Virginia Tech, Blacksburg, VA, USA.
Brittany P BoribongInterdisciplinary Program in Genetics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA, USA.
Liwu LiDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.
Stanca M CiupeDepartment of Mathematics, Virginia Tech, Blacksburg, VA, USA. stanca@math.vt.edu.
Virginia Tech · US

Funding

Altered innate leukocyte programming dynamics in sepsisR01AI136386 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LI, LIWU · 2018 to 2022
$2.0M
NIAID NIH HHS R01 AI136386
6 · The paper itself

Abstract

The size of primary challenge with lipopolysaccharide induces changes in the innate immune cells phenotype between pro-inflammatory and pro-tolerant states when facing a secondary lipopolysaccharide challenge. To determine the molecular mechanisms governing this differential response, we propose a mathematical model for the interaction between three proteins involved in the immune cell decision making: IRAK-1, PI3K, and RelB. The mutual inhibition of IRAK-1 and PI3K in the model leads to bistable dynamics. By using the levels of RelB as indicative of strength of the immune responses, we connect the size of different primary lipopolysaccharide doses to the differential phenotypical outcomes following a secondary challenge. We further predict under what circumstances the primary LPS dose does not influence the response to a secondary challenge. Our results can be used to guide treatments for patients with either autoimmune disease or compromised immune system.

Indexed as

Immunity, InnateModels, ImmunologicalAnimalsComputer SimulationHumansImmune ToleranceInterleukin-1 Receptor-Associated KinasesLipopolysaccharidesMacrophagesMathematical ConceptsPhenotypePhosphatidylinositol 3-KinasesTranscription Factor RelBInterleukin-1 Receptor-Associated KinasesLipopolysaccharidesPhosphatidylinositol 3-KinasesTranscription Factor RelBBistable dynamicsInnate immunityMathematical modeling

Identifiers

PMID30387078
PMCPMC6747696
OpenAlexW2898978847

What OpenQuestion holds

Textmetadata
LicenceTDM
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.