Evidence map›Paper›PMID 24950711›Full record

ArticleJournal of translational medicine2014

The regulatory toll-like receptor 4 genetic polymorphism rs11536889 is associated with renal, coagulation and hepatic organ failure in sepsis patients.

Ashham Mansur, Luisa von Gruben, Aron F Popov, Maximilian Steinau, Ingo Bergmann, Daniel Ross, Michael Ghadimi, Tim Beissbarth, Martin Bauer, José Hinz

Abstract read
In one paragraph

Article in Journal of translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. TheInfection and drug resistance · 2021
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  13. The role of genetics and antibodies in sepsis.Annals of translational medicine · 2016
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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.

Ashham MansurDepartment of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany. ashham.mansur@med.uni-goettingen.de.
Luisa von Gruben
Aron F Popov
Maximilian Steinau
Ingo Bergmann
Daniel Ross
Michael Ghadimi
Tim Beissbarth
Martin Bauer
José Hinz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundToll-like receptor 4 (TLR4), a lipopolysaccharide (LPS) receptor complex signal-transducing molecule, plays a crucial role in sensing LPS from gram-negative bacteria. TLR4 signaling pathway activation by LPS plays a major role in sepsis pathogenesis. A single nucleotide polymorphism, rs11536889, in the 3'-untranslated region of the TLR4 gene is thought to affect TLR4 translation. This study aimed to investigate whether organ failure in sepsis patients is related to the TLR4 rs11536889 genotype.

methodsAdult Caucasian patients with sepsis from the intensive care unit of a university medical center were followed up for 90 days, and organ failure was recorded as the primary outcome variable. Blood samples were collected at enrollment for TLR4 rs11536889 genotyping. Sepsis-related organ failure assessment (SOFA) scores were quantified at sepsis onset and throughout the observational period to monitor organ failure.

resultsA total of 210 critically ill patients with sepsis were enrolled into this study. Wild-type GG was compared to GC/CC. During their stay in the intensive care unit, GG patients presented significantly higher SOFA scores than did C allele carriers (7.9 ± 4.5 and 6.8 ± 4.2, respectively; p = 0.0005). Analysis of organ-specific SOFA sub-scores revealed significant differences in three organ systems: renal, coagulation and hepatic (p = 0.0005, p = 0.0245 and p < 0.0001, respectively). Additionally, the rs11536889 polymorphism was associated with a higher incidence of gram-negative infections.

conclusionsThese results offer the first evidence that TLR4 rs11536889 is a useful marker of organ failure in patients with sepsis.

Indexed as

Polymorphism, GeneticAgedBiomarkersBlood Coagulation DisordersFemaleHumansLiver FailureMaleMiddle AgedRenal InsufficiencySepsisToll-Like Receptor 4BiomarkersTLR4 protein, humanToll-Like Receptor 4

Identifiers

PMID24950711
PMCPMC4085654

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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.