Evidence map›Paper›PMID 29996939›Full record

ArticleBMC research notes2018

A mathematical model relates intracellular TLR4 oscillations to sepsis progression.

Razvan C Stan, Francisco G Soriano, Maristela M de Camargo

Abstract read
In one paragraph

Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Razvan C StanInstitute of Biomedical Sciences, University of São Paulo, São Paulo, CEP 05508-900, Brazil. strazvan@usp.br.ORCID http://orcid.org/0000-0002-9539-6532
Francisco G SorianoUniversity Hospital, University of Sao Paulo, São Paulo, CEP 05508-000, Brazil.
Maristela M de CamargoInstitute of Biomedical Sciences, University of São Paulo, São Paulo, CEP 05508-900, Brazil. mmcamar@usp.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 309041/2012-0Conselho Nacional de Desenvolvimento Científico e Tecnológico 400662/2014-0Fundação de Amparo à Pesquisa do Estado de São Paulo 11/51778-6
6 · The paper itself

Abstract

objectiveOscillations of physiological parameters describe many biological processes and their modulation is determinant for various pathologies. In sepsis, toll-like receptor 4 (TLR4) is a key sensor for signaling the presence of Gram-negative bacteria. Its intracellular trafficking rates shift the equilibrium between the pro- and anti-inflammatory downstream signaling cascades, leading to either the physiological resolution of the bacterial stimulation or to sepsis. This study aimed to evaluate the effects of TLR4 increased expression and intracellular trafficking on the course and outcome of sepsis.

resultsUsing a set of three differential equations, we defined the TLR4 fluxes between relevant cell organelles. We obtained three different regions in the phase space: (1) a limit-cycle describing unstimulated physiological oscillations, (2) a fixed-point attractor resulting from moderate LPS stimulation that is resolved and (3) a double-attractor resulting from sustained LPS stimulation that leads to sepsis. We used this model to describe available hospital data of sepsis patients and we correctly characterize the clinical outcome of these patients.

Indexed as

Models, TheoreticalDisease ProgressionGram-Negative BacteriaHumansLipopolysaccharidesSepsisSignal TransductionToll-Like Receptor 4LipopolysaccharidesTLR4 protein, humanToll-Like Receptor 4InflammationIntracellular traffickingOrdinary differential equationsOscillationsSepsis

Identifiers

PMID29996939
PMCPMC6042260

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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.