Evidence map›Paper›PMID 25706641›Full record

ArticlePloS one2015

CD14 and complement crosstalk and largely mediate the transcriptional response to Escherichia coli in human whole blood as revealed by DNA microarray.

Corinna Lau, Ståle Nygård, Hilde Fure, Ole Kristoffer Olstad, Marit Holden, Knut Tore Lappegård, Ole-Lars Brekke, Terje Espevik, Eivind Hovig, Tom Eirik Mollnes

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  4. Frontiers in immunology · 2022
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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 5 institutions in 1 country.

Corinna LauResearch Laboratory and Department of Laboratory Medicine, Nordland Hospital, Bodø, Norway.
Ståle NygårdDepartment of Informatics, University of Oslo, Oslo, Norway; Bioinformatics Core Facility and Institute for Medical Informatics, Oslo University Hospital, Oslo, Norway.
Hilde FureResearch Laboratory and Department of Laboratory Medicine, Nordland Hospital, Bodø, Norway.
Ole Kristoffer OlstadDepartment of Medical Biochemistry, OUS, Ullevaal, Oslo, Norway.
Marit HoldenNorwegian Computing Center, Oslo, Norway.
Knut Tore LappegårdFaculty of Health Sciences, University of Tromsø, Tromsø, Norway; Division of Medicine, Nordland Hospital, Bodø, Norway.
Ole-Lars BrekkeResearch Laboratory and Department of Laboratory Medicine, Nordland Hospital, Bodø, Norway; Faculty of Health Sciences, University of Tromsø, Tromsø, Norway.
Terje EspevikCenter of Molecular Inflammation Research, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Eivind HovigDepartment of Informatics, University of Oslo, Oslo, Norway; Bioinformatics Core Facility and Institute for Medical Informatics, Oslo University Hospital, Oslo, Norway; Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.
Tom Eirik MollnesResearch Laboratory and Department of Laboratory Medicine, Nordland Hospital, Bodø, Norway; Faculty of Health Sciences, University of Tromsø, Tromsø, Norway; Center of Molecular Inflammation Research, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway; Institute of Immunology, Oslo University Hospital Rikshospitalet and University of Oslo, Oslo, Norway.
Nordland Hospital · NOUiT The Arctic University of Norway · NOUniversity of Oslo · NONorwegian Computing Center · NONorwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic inflammation like in sepsis is still lacking specific diagnostic markers and effective therapeutics. The first line of defense against intruding pathogens and endogenous damage signals is pattern recognition by e.g., complement and Toll-like receptors (TLR). Combined inhibition of a key complement component (C3 and C5) and TLR-co-receptor CD14 has been shown to attenuate certain systemic inflammatory responses. Using DNA microarray and gene annotation analyses, we aimed to decipher the effect of combined inhibition of C3 and CD14 on the transcriptional response to bacterial challenge in human whole blood. Importantly, combined inhibition reversed the transcriptional changes of 70% of the 2335 genes which significantly responded to heat-inactivated Escherichia coli by on average 80%. Single inhibition was less efficient (p<0.001) but revealed a suppressive effect of C3 on 21% of the responding genes which was partially counteracted by CD14. Furthermore, CD14 dependency of the Escherichia coli-induced response was increased in C5-deficient compared to C5-sufficient blood. The observed crucial distinct and synergistic roles for complement and CD14 on the transcriptional level correspond to their broad impact on the inflammatory response in human blood, and their combined inhibition may become inevitable in the early treatment of acute systemic inflammation.

Indexed as

Oligonucleotide Array Sequence AnalysisTranscription, GeneticComplement System ProteinsEscherichia coliGene ExpressionHumansLipopolysaccharide ReceptorsComplement System ProteinsLipopolysaccharide Receptors

Identifiers

PMID25706641
PMCPMC4338229
OpenAlexW2080865322

What OpenQuestion holds

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LicenceCC BY
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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.