Evidence map›Paper›PMID 26021751›Full record

ArticleVirology journal2015

The effects of H3N2 swine influenza virus infection on TLRs and RLRs signaling pathways in porcine alveolar macrophages.

Jinqiu Zhang, Jinfeng Miao, Jibo Hou, Chengping Lu

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. The deadly dance of alveolar macrophages and influenza virus.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  4. Article
  5. iScience · 2023
    Article
  6. Article
  7. Inhibitory Effects and Related Molecular Mechanisms of Huanglian-Ganjiang Combination Against H1N1 Influenza Virus.Revista brasileira de farmacognosia : orgao oficial da Sociedade Brasileira de Farmacognosia · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Inhibitory effects and related molecular mechanisms of total flavonoids in Mosla chinensis Maxim against H1N1 influenza virus.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2018
    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

4 authors at 2 institutions in 1 country.

Jinqiu ZhangNational Research Center for Veterinary Vaccine Engineering and Technology of China, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China. jqzh03@126.com.
Jinfeng MiaoCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China. mjf171647@126.com.
Jibo HouNational Research Center for Veterinary Vaccine Engineering and Technology of China, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China. hjb@jaas.ac.cn.
Chengping LuCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China. lucp@njau.edu.cn.
Jiangsu Academy of Agricultural Sciences · CNNanjing Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSwine influenza is an economically important respiratory disease of swine resulting from infection with influenza A virus. Swine influenza virus (SIV) becomes the focus as pigs have been hypothesized to serve as an intermediate host for the adaptation of avian influenza viruses to humans or as mixing vessels for the generation of genetically reassortant viruses. The ability of the innate immune system to detect and respond to pathogens is important for survival. Therefore, there is a critical need to evaluate the immediate response to viral infection, especially the role of the toll-like receptors (TLRs) and RNA helicase RIG-I-like receptors (RLRs) innate immunity signaling pathways in H3N2 swine influenza virus infection.

methodIn this study, porcine alveolar macrophages (PAMs) were obtained from porcine lungs and were infected with SIV at a multiplicity of infection (MOI) of 5 in vitro. The changes of the related receptors, signaling proteins and effector molecules of TLRs and RLRs signaling pathways post H3N2 virus infection of PAMs were quantified by Real-time quantitative RT-PCR and western blotting.

resultsThe results showed that H3N2 SIV infection significantly increased mRNA expression of TLR-3, TLR-7, RIG- I and MDA5 after 4 hpi (P < 0.05). Western blotting showed that the protein levels of TLR-3, TLR-7 and RIG-I also had a significantly increase after PAM exposed to virus. A significant change of MyD88, MAVS, IRF-3 and IRF-7 mRNA expression were present at 8 hpi. More than a 4-fold increase was induced for TNF-α and IL-1β mRNA expression. And the concentration of TNF-α and IL-1β peaked at 12 and 24 hpi, respectively. IFN-α, IFN-β mRNA and protein levels increased after SIV infection and significant differences was observed at 8, 12 and 24 hpi.

conclusionThese results indicate that H3N2 swine influenza virus infection significantly influences the expression of the receptors, adapter proteins and downstream effector molecules of RLRs and TLRs signaling pathways. This study enhances our understanding of innate immunity signaling pathways in PAM anti-infection of H3N2 SIV.

Indexed as

Signal TransductionAnimalsCell LineCytokinesGene ExpressionInfluenza A Virus, H3N2 SubtypeMacrophages, AlveolarMyeloid Differentiation Factor 88Orthomyxoviridae InfectionsRNA, MessengerSwineSwine DiseasesToll-Like ReceptorsVirus ReplicationCytokinesMyeloid Differentiation Factor 88RNA, MessengerToll-Like Receptors

Identifiers

PMID26021751
PMCPMC4487856
OpenAlexW2038312874

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.