Evidence map›Paper›PMID 31934174›Full record

ArticleInternational journal of clinical and experimental pathology2019

Long noncoding RNA MALAT1 modulates sepsis-induced cardiac inflammation through the miR-150-5p/NF-κB axis.

Shibo Wei, Qingyun Liu

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 15% 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  3. MicroRNAs and Sepsis-Induced Cardiac Dysfunction: A Systematic Review.International journal of molecular sciences · 2020
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  12. Notch Signaling in Acute Inflammation and Sepsis.International journal of molecular sciences · 2023
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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

2 authors at 1 institution in 1 country.

Shibo WeiDepartment of Intensive Care Unit, Hanyang Hospital Affiliated to Wuhan University of Science and Technology Wuhan, China.
Qingyun LiuDepartment of Intensive Care Unit, Hanyang Hospital Affiliated to Wuhan University of Science and Technology Wuhan, China.
Wuhan University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccumulating evidence shows that long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) are involved in the sepsis inflammatory response. However, the involvement of lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1)/miR-150-5p axis in sepsis has not been reported.

methodsLipopolysaccharide (LPS)-treated H9c2 cells were used to establish a sepsis cell model

resultsMALAT1 was highly expressed, but miR-150-5p was downregulated in LPS-mediated H9c2 cells. Meanwhile, LPS significantly promoted the expressions of IL-6, TNF-α, and NF-κB. MALAT1 depletion attenuated the effect of LPS on the expressions of the inflammatory factors and the NF-κB signaling pathway, which was consistent with that of miR-150-5p overexpression. MALAT1 interacted with miR-150-5p. In addition, the rescue-of-function experiments also indicated that the loss of miR-150-5p undermined the effect of MALAT1 downregulation on H9c2 cells with LPS treatment.

conclusionWe first demonstrated that MALAT1 depletion is responsible for the sepsis inflammatory response by inhibiting the expressions of IL-6 and TNF-α and the NF-κB signaling pathway by upregulating miR-150-5p.

Indexed as

inflammatory responselncRNA MALAT1miR-150-5psepsis

Identifiers

PMID31934174
PMCPMC6949863
OpenAlexW3004870439

What OpenQuestion holds

Textmetadata
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.