Evidence map›Paper›PMID 29518010›Full record

ArticleInternational journal of molecular sciences2018

Differential Inflammatory-Response Kinetics of Human Keratinocytes upon Cytosolic RNA- and DNA-Fragment Induction.

Judit Danis, Luca Janovák, Barbara Gubán, Anikó Göblös, Kornélia Szabó, Lajos Kemény, Zsuzsanna Bata-Csörgő, Márta Széll

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04426253 (Identification of Genetic Factors Determining Disease Course and Preparation of Pharmacogenetic Applications in the New Type of Coronavirus Infection, COVID-19), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 31% 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.

NCT04426253 unknown statusnot on this mapstarted 2020, after this paper: background citation

Identification of Genetic Factors Determining Disease Course and Preparation of Pharmacogenetic Applications in the New Type of Coronavirus Infection, COVID-19

TypeobservationalSponsorSzeged UniversityRan2020 to 2021Enrolled1,000ConditionsCOVID-19, Sars-CoV2
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Frontiers in immunology · 2022
    Article
  5. Article
  6. Article
  7. Article
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

8 authors at 2 institutions in 1 country.

Judit DanisDepartment of Dermatology and Allergology, University of Szeged, 6720 Szeged, Hungary. danis.judit@med.u-szeged.hu.
Luca JanovákDepartment of Dermatology and Allergology, University of Szeged, 6720 Szeged, Hungary. janovakluca@gmail.com.
Barbara GubánDepartment of Dermatology and Allergology, University of Szeged, 6720 Szeged, Hungary. konczne.guban.barbara.eszter@med.u-szeged.hu.
Anikó GöblösDepartment of Dermatology and Allergology, University of Szeged, 6720 Szeged, Hungary. goblos.aniko@med.u-szeged.hu.
Kornélia SzabóMTA-SZTE Dermatological Research Group, 6720 Szeged, Hungary. szabo.kornelia@med.u-szeged.hu.
Lajos KeményDepartment of Dermatology and Allergology, University of Szeged, 6720 Szeged, Hungary. kemeny.lajos@med.u-szeged.hu.ORCID 0000-0002-6059-8425
Zsuzsanna Bata-CsörgőDepartment of Dermatology and Allergology, University of Szeged, 6720 Szeged, Hungary.
Márta SzéllMTA-SZTE Dermatological Research Group, 6720 Szeged, Hungary. szell.marta@med.u-szeged.hu.
University of Szeged · HUMTA-SZTE Research Group on Artificial Intelligence · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Keratinocytes are non-professional immune cells contributing actively to innate immune responses partially by reacting to a wide range of molecular patterns by activating pattern recognition receptors. Cytosolic nucleotide fragments as pathogen- or self-derived trigger factors are activating inflammasomes and inducing anti-viral signal transduction pathways as well as inducing expression of inflammatory cytokines. We aimed to compare the induced inflammatory reactions in three keratinocyte cell types-normal human epidermal keratinocytes, the HaCaT cell line and the HPV-KER cell line-upon exposure to the synthetic RNA and DNA analogues poly(I:C) and poly(dA:dT) to reveal the underlying signaling events. Both agents induced the expression of interleukin-6 and tumor necrosis factor α in all cell types; however, notable kinetic and expression level differences were found. Western blot analysis revealed rapid activation of the nuclear factor κB (NF-κB), mitogen activated protein kinase and signal transducers of activator of transcription (STAT) signal transduction pathways in keratinocytes upon poly(I:C) treatment, while poly(dA:dT) induced slower activation. Inhibition of NF-κB, p38, STAT-1 and STAT-3 signaling resulted in decreased cytokine expression, whereas inhibition of mitogen-activated protein kinase kinase 1/2 (MEK1/2) signaling showed a negative feedback role in both poly(I:C)- and poly(dA:dT)-induced cytokine expression. Based on our in vitro results nucleotide fragments are able to induce inflammatory reactions in keratinocytes, but with different rate and kinetics of cytokine expression, explained by faster activation of signaling routes by poly(I:C) than poly(dA:dT).

Indexed as

Cell LineCells, CulturedCytokinesHumansInflammasomesKeratinocytesMAP Kinase Kinase 1MAP Kinase Kinase 2NF-kappa Bp38 Mitogen-Activated Protein KinasesPoly dA-dTSTAT Transcription FactorsCytokinesInflammasomesMAP Kinase Kinase 1MAP Kinase Kinase 2NF-kappa Bp38 Mitogen-Activated Protein KinasesPoly dA-dTSTAT Transcription Factorscytosolic nucleotide fragmentsinterleukin-6keratinocytepoly(dA:dT)poly(I:C)signal transduction pathwaytumor necrosis factor α

Identifiers

PMID29518010
PMCPMC5877635
OpenAlexW2791152077

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.