Evidence map›Paper›PMID 29749545›Full record

ArticleMolecular medicine reports2018

Genome‑wide identification of long noncoding RNAs in CCl4‑induced liver fibrosis via RNA sequencing.

Zhenghua Gong, Jialin Tang, Tianxin Xiang, Jiayu Lin, Chaowen Deng, Yanzhong Peng, Jie Zheng, Guoxin Hu

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 30% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  5. Review
  6. Article
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  9. Review
  10. The Roles and Mechanisms of lncRNAs in Liver Fibrosis.International journal of molecular sciences · 2020
    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

8 authors at 5 institutions in 1 country.

Zhenghua GongDepartment of Ultrasound, Peking University Shenzhen Hospital, Shenzhen PKU‑HKUST Medical Center, Shenzhen, Guangdong 518036, P.R. China.
Jialin TangDepartment of Public Health, Center for Disease Control and Prevention in Jiangxi, Nanchang, Jiangxi 330029, P.R. China.
Tianxin XiangDepartment of Infectious Diseases, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Jiayu LinDepartment of Digestive Diseases, The Eighth Affiliated Hospital of Sun Yat‑sen University, Shenzhen, Guangdong 518033, P.R. China.
Chaowen DengDepartment of Infectious Diseases, Peking University Shenzhen Hospital, Shenzhen PKU‑HKUST Medical Center, Shenzhen, Guangdong 518036, P.R. China.
Yanzhong PengDepartment of Infectious Diseases, Peking University Shenzhen Hospital, Shenzhen PKU‑HKUST Medical Center, Shenzhen, Guangdong 518036, P.R. China.
Jie ZhengDepartment of Traditional Chinese Medicine, Peking University Shenzhen Hospital, Shenzhen PKU‑HKUST Medical Center, Shenzhen, Guangdong 518036, P.R. China.
Guoxin HuDepartment of Infectious Diseases, Peking University Shenzhen Hospital, Shenzhen PKU‑HKUST Medical Center, Shenzhen, Guangdong 518036, P.R. China.
University of Hong Kong - Shenzhen Hospital · CNPeking University Shenzhen Hospital · CNEighth Affiliated Hospital of Sun Yat-sen UniversityFirst Affiliated Hospital of Nanchang University · CNNanchang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver fibrosis occurs as a result of chronic liver lesions, which may subsequently develop into liver cirrhosis and hepatocellular carcinoma. The involvement of long noncoding RNAs (lncRNAs) in liver fibrosis is being increasingly recognized. However, the exact mechanisms and functions of the majority of lncRNAs are poorly characterized. In the present study, the hepatotoxic substance carbon tetrachloride (CCl4) was employed to induce liver fibrosis in an animal model and agenome‑wide identification of lncRNAs in fibrotic liver tissues compared with CCl4 untreated liver tissues was performed using RNA sequencing. Sprague‑Dawley rats were treated with CCl4 for 8 weeks. Histopathogical alterations were observed in liver tissues, and serum levels of alanine aminotransferase, aspartate aminotransferase, transforming growth factor‑β1 and tumor necrosis factor‑α were significantly higher, in the CCl4‑treated group compared with the CCl4 untreated group. RNA sequencing of liver tissues demonstrated that 231 lncRNAs and 1,036 mRNAs were differentially expressed between the two groups. Furthermore, bioinformatics analysis demonstrated that the differentially expressed mRNAs were predominantly enriched in 'ECM‑receptor interaction', 'PI3K‑Akt signaling pathway' and 'focal adhesion' pathways, all of which are essential for liver fibrosis development. Validation of 12 significantly aberrant lncRNAs by reverse transcription‑quantitative polymerase chain reaction indicated that the expression patterns of 11 lncRNAs were consistent with the sequencing data. Furthermore, overexpression of lncRNA NR_002155.1, which was markedly downregulated in CCl4‑treated liver tissues, was demonstrated to inhibit HSC‑T6 cell proliferation in vitro. In conclusion, the present study determined the expression patterns of mRNAs and lncRNAs in fibrotic liver tissue induced by CCl4. The identified differentially expressed lncRNAs may serve as novel diagnostic biomarkers and therapeutic targets for liver fibrosis.

Indexed as

High-Throughput Nucleotide SequencingSignal TransductionAnimalsBiomarkersCarbon Tetrachloride PoisoningGenome-Wide Association StudyLiver CirrhosisMaleRatsRats, Sprague-DawleyRNA, Long NoncodingBiomarkersRNA, Long Noncoding

Identifiers

PMID29749545
PMCPMC6059682
OpenAlexW2802605136

What OpenQuestion holds

Textmetadata
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.