Evidence map›Paper›PMID 28355233›Full record

ArticlePloS one2017

Coding and non-coding gene regulatory networks underlie the immune response in liver cirrhosis.

Bo Gao, Xueming Zhang, Yongming Huang, Zhengpeng Yang, Yuguo Zhang, Weihui Zhang, Zu-Hua Gao, Dongbo Xue

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Exploring Cirrhosis: Insights into Advances in Therapeutic Strategies.International journal of molecular sciences · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Article
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 3 institutions in 2 countries.

Bo GaoDepartment of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID http://orcid.org/0000-0003-3461-0096
Xueming ZhangDepartment of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Yongming HuangDepartment of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Zhengpeng YangDepartment of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Yuguo ZhangDepartment of Traditional and Western Medical Hepatology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Weihui ZhangDepartment of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Zu-Hua GaoDepartment of Pathology, The Research Institute of McGill University Health Centre, Montreal, Quebec, Canada.
Dongbo XueDepartment of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Harbin Medical University · CNHebei Medical University · CNMcGill University Health Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cirrhosis is recognized as being the consequence of immune-mediated hepatocyte damage and repair processes. However, the regulation of these immune responses underlying liver cirrhosis has not been elucidated. In this study, we used GEO datasets and bioinformatics methods to established coding and non-coding gene regulatory networks including transcription factor-/lncRNA-microRNA-mRNA, and competing endogenous RNA interaction networks. Our results identified 2224 mRNAs, 70 lncRNAs and 46 microRNAs were differentially expressed in liver cirrhosis. The transcription factor -/lncRNA- microRNA-mRNA network we uncovered that results in immune-mediated liver cirrhosis is comprised of 5 core microRNAs (e.g., miR-203; miR-219-5p), 3 transcription factors (i.e., FOXP3, ETS1 and FOS) and 7 lncRNAs (e.g., ENTS00000671336, ENST00000575137). The competing endogenous RNA interaction network we identified includes a complex immune response regulatory subnetwork that controls the entire liver cirrhosis network. Additionally, we found 10 overlapping GO terms shared by both liver cirrhosis and hepatocellular carcinoma including "immune response" as well. Interestingly, the overlapping differentially expressed genes in liver cirrhosis and hepatocellular carcinoma were enriched in immune response-related functional terms. In summary, a complex gene regulatory network underlying immune response processes may play an important role in the development and progression of liver cirrhosis, and its development into hepatocellular carcinoma.

Indexed as

Carcinoma, HepatocellularComputational BiologyDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansImmunity, InnateLiverLiver CirrhosisLiver NeoplasmsMicroRNAsRNA, Long NoncodingRNA, MessengerTranscription FactorsMicroRNAsRNA, Long NoncodingRNA, MessengerTranscription Factors

Identifiers

PMID28355233
PMCPMC5371304
OpenAlexW2597537336

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.