Evidence map›Paper›PMID 31208297›Full record

ArticleCell cycle (Georgetown, Tex.)2019

Inhibition of miR-221 alleviates LPS-induced acute lung injury via inactivation of SOCS1/NF-κB signaling pathway.

Tao Wang, Lihua Jiang, Xiaoyong Wei, Zhenghua Dong, Bo Liu, Junbo Zhao, Lijuan Wang, Peilin Xie, Yuxia Wang, Shangyou Zhou

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
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  6. Article
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  8. Article
  9. microRNA-145-5p attenuates acute lung injury via targeting ETS2.The Kaohsiung journal of medical sciences · 2022
    Article
  10. Article
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  14. Article
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  16. Article
  17. Innate Immune Memory in Macrophages.Newborn (Clarksville, Md.)
    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

10 authors at 1 institution in 1 country.

Tao Wanga Department of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China.
Lihua Jianga Department of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China.
Xiaoyong Weia Department of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China.
Zhenghua Donga Department of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China.
Bo Liua Department of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China.
Junbo Zhaoa Department of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China.
Lijuan Wanga Department of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China.
Peilin Xiea Department of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China.
Yuxia Wanga Department of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China.
Shangyou Zhoua Department of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China.
Third Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of inflammation response has been well documented in the development of acute lung injury (ALI). However, little is known about the functions of miRNAs in the regulation of inflammation in ALI. The aim of this study was to explore the effects of miRNAs in the regulation of inflammation in ALI and to elucidate the biomolecular mechanisms responsible for these effects. The expression profiles of miRNAs in lung tissues from lipopolysaccharide (LPS)-induced ALI mice model were analyzed using a microarray. It was observed that microRNA-221-3p (miR-221) was significantly increased in lung tissues in ALI mice. The inhibition of miR-221 attenuated lung injury including decreased lung W/D weight ratio and lung permeability and survival rates of ALI mice, as well as apoptosis, whereas its agomir-mediated upregulation exacerbated the lung injury. Concomitantly, miR-221 inhibition significantly reduced LPS-induced pulmonary inflammation, while LPS-induced pulmonary inflammation was aggravated by miR-221 upregulation. Of note, suppressor of cytokine signaling-1 (SOCS1), an effective suppressor of the NF-κB signaling pathway, was found to be a direct target of miR-221 in RAW264.7 cells. Overexpression of SOCS1 by pcDNA-SOCS1 plasmids markedly reversed the miR-221 inhibition-mediated inhibitory effects on inflammation and apoptosis in LPS-treated RAW264.7 cells. Finally, it was found that miR-221 inhibition suppressed LPS induced the activation of the NF-κB signaling pathway, as demonstrated by downregulation of phosphorylated-IκBα, p-p65 and upregulation of IκBα, whilst miR-221 overexpression had an opposite result in ALI mice. Our findings demonstrate that inhibition of miR-221 can alleviate LPS-induced inflammation via inactivation of SOCS1/NF-κB signaling pathway in ALI mice.

Indexed as

Acute Lung InjuryAnimalsAntagomirsApoptosisCell SurvivalDisease Models, AnimalInflammationLipopolysaccharidesMaleMiceMicroRNAsNF-kappa BRAW 264.7 CellsSignal TransductionSuppressor of Cytokine Signaling 1 ProteinTransfectionAntagomirsLipopolysaccharidesMicroRNAsMIRN221 microRNA, mouseNF-kappa BSocs1 protein, mouseSuppressor of Cytokine Signaling 1 ProteinAcute lung injuryinflammationmicroRNA-221NF-κB signaling pathwaySOCS1

Identifiers

PMID31208297
PMCPMC6681774
OpenAlexW2950072050

What OpenQuestion holds

Textmetadata
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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.