Evidence map›Paper›PMID 32282121›Full record

ArticleThe Kaohsiung journal of medical sciences2020

Analysis the effect of miR-141-3p/HMGB1 in LPS-induced mucus production and the apoptosis in nasal epithelial cells.

Yong-Ming Zhu, Feng Wu, Jie-Yu Zhou

Open access · goldAbstract read
In one paragraph

Article in The Kaohsiung journal of medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-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.

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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

Yong-Ming ZhuDepartment of Otolaryngology, Nantong Hospital of Traditional Chinese Medicine, Nantong, Jiangsu, China.
Feng WuDepartment of Otolaryngology, The Second People's Hospital of Nantong, Nantong, Jiangsu, China.ORCID https://orcid.org/0000-0002-8035-3521
Jie-Yu ZhouDepartment of Otolaryngology, Shanghai Ninth People's Hospital, Shanghai, China.
Anyang Hospital of Traditional Chinese Medicine · CNNantong University · CNShanghai Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allergic rhinitis (AR) is an allergic disease characterized by immunoglobulin E (IgE)-mediated type I hypersensitivity disorder. In the current study, we illuminated the potential roles of microRNA-141-3p (miR-141-3p) in lipopolysaccharide (LPS)-induced mucus production and the apoptosis in nasal epithelial cells (NECs). We demonstrated that miR-141-3p was significantly downregulated in nasal tissues from patients with AR and LPS-treated NECs. Upregulation of miR-141-3p decreased the level of mucin 5AC (MUC5AC) in LPS-treated NECs and induced NECs apoptosis. High Mobility Group Box 1 (HMGB1) was proved as a target of miR-141-3p and miR-141-3p negatively regulated its expression. In addition, we observed that HMGB1 was overexpressed in nasal mucosal tissues from patients with AR and LPS-treated NECs. Finally, we proved that miR-141-3p decreased the level of MUAC5AC in LPS-treated NECs through regulating HMGB1. In conclusion, miR-141-3p inhibited LPS-induced MUAC5AC production and the apoptosis of LPS-treated NECs by targeting HMGB1.

Indexed as

ApoptosisAnimalsBase SequenceDown-RegulationEpithelial CellsGene SilencingHMGB1 ProteinHumansLipopolysaccharidesMice, Inbred BALB CMicroRNAsMucin 5ACMucusNasal MucosaRhinitis, AllergicHMGB1 ProteinLipopolysaccharidesMicroRNAsMIRN141 microRNA, humanMUC5AC protein, humanMucin 5ACallergic rhinitisHMGB1miR-141-3pnasal epithelial cell

Identifiers

PMID32282121
PMCPMC11896469
OpenAlexW3015561511

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.