Evidence map›Paper›PMID 34434263›Full record

ArticleExperimental and therapeutic medicine2021

Anti-inflammatory effects of miR-150 are associated with the downregulation of STAT1 in macrophages following lipopolysaccharide treatment.

Song Chen, Haijun Zhu, Jie Sun, Lili Zhu, Long Qin, Jian Wan

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Lipopolysaccharide (LPS) induces sclerostin secretion by extracellular vesicle via TLR4/miR-92a-3p/PTEN/NF-κB signalling pathway in murine macrophage.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Article
  6. The Role of microRNAs in Inflammation.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Review
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

6 authors.

Song ChenDepartment of Emergency and Critical Care Medicine, The People's Hospital of Pudong New Area, Shanghai University of Health and Science, Shanghai 201200, P.R. China.
Haijun ZhuDepartment of Emergency and Critical Care Medicine, The People's Hospital of Pudong New Area, Shanghai University of Health and Science, Shanghai 201200, P.R. China.
Jie SunDepartment of Emergency and Critical Care Medicine, The People's Hospital of Pudong New Area, Shanghai University of Health and Science, Shanghai 201200, P.R. China.
Lili ZhuDepartment of Emergency and Critical Care Medicine, The People's Hospital of Pudong New Area, Shanghai University of Health and Science, Shanghai 201200, P.R. China.
Long QinDepartment of Emergency and Critical Care Medicine, The People's Hospital of Pudong New Area, Shanghai University of Health and Science, Shanghai 201200, P.R. China.
Jian WanDepartment of Emergency and Critical Care Medicine, The People's Hospital of Pudong New Area, Shanghai University of Health and Science, Shanghai 201200, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a condition that is associated with high rates of mortality. It is characterized by serious systemic inflammatory responses induced by pathogenic invasion. Although microRNA-150 (miR-150) has been previously reported to be involved in the modulation of sepsis, the underlying molecular mechanism in sepsis remains poorly understood. In the present study, the human monocytic cell line THP-1 was treated with LPS to mimic sepsis

Indexed as

lipopolysaccharidemicroRNA-150sepsisSTAT1

Identifiers

PMID34434263
PMCPMC8353636

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.