Evidence map›Paper›PMID 27187359›Full record

ReviewInternational journal of molecular sciences2016

Expression and Function of miR-155 in Diseases of the Gastrointestinal Tract.

Jianhua Wan, Liang Xia, Wenting Xu, Nonghua Lu

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Potential roles of microRNAs in chronic rhinosinusitis: from mechanistic insights to clinical studies.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
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  3. Review
  4. Exosomal miR-155-5p promote the occurrence of carotid atherosclerosis.Journal of cellular and molecular medicine · 2024
    Article
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  6. Review
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  9. Expression analysis of miRNA-155 level inIranian journal of microbiology · 2022
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  12. Review
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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

4 authors.

Jianhua WanDepartment of Gastroenterology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, China. 18942337437@163.com.
Liang XiaDepartment of Gastroenterology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, China. liangx96180@126.com.
Wenting XuDepartment of Gastroenterology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, China. xuwentncdx@foxmail.com.
Nonghua LuDepartment of Gastroenterology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, China. lunonghua@ncu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a type of small noncoding RNA that can regulate the expression of target genes under physiological and pathophysiological conditions. miR-155 is a multifunctional miRNA with inflammation-related and oncogenic roles. In particular, the dysregulation of miR-155 has been strongly implicated in Helicobacter pylori-related gastric disease, inflammatory bowel disease, and colorectal cancer in addition to being involved in molecular changes of important targets and signaling pathways. This review focuses on the expression and function of miR-155 during inflammation and carcinogenesis and its potential use as an effective therapeutic target for certain gastrointestinal diseases.

Indexed as

AnimalsGastrointestinal DiseasesHelicobacter pyloriHumansMicroRNAsSignal TransductionMicroRNAsMIRN155 microRNA, humancolorectal cancerH. Pyloriinflammatory bowel diseasemiR-155

Identifiers

PMID27187359
PMCPMC4881531

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Registered trials

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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.