Evidence map›Paper›PMID 28684781›Full record

ArticleScientific reports2017

Characterization of transcriptional modules related to fibrosing-NAFLD progression.

Yi Lou, Guo-Yan Tian, Yu Song, Yin-Lan Liu, Yi-Dan Chen, Jun-Ping Shi, Jin Yang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
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  17. Exosomal microRNAs and Progression of Nonalcoholic Steatohepatitis (NASH).International journal of molecular sciences · 2022
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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

7 authors at 2 institutions in 1 country.

Yi LouCenter for Translational Medicine, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Guo-Yan TianCenter for Translational Medicine, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Yu SongCenter for Translational Medicine, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Yin-Lan LiuCenter for Translational Medicine, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Yi-Dan ChenCenter for Translational Medicine, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Jun-Ping ShiCenter for Translational Medicine, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Jin YangCenter for Translational Medicine, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China. hz_zhiy@163.com.
Affiliated Hospital of Hangzhou Normal University · CNHangzhou Red Cross Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the severity of liver fibrosis, low or high-risk profile of developing end-stage liver disease was present in nonalcoholic fatty liver disease (NAFLD). However, the mechanisms inducing transition from mild to advanced NAFLD are still elusive. We performed a system-level study on fibrosing-NAFLD by weighted gene co-expression network analysis (WGCNA) to identify significant modules in the network, and followed by functional and pathway enrichment analyses. Moreover, hub genes in the module were analyzed by network feature selection. As a result, fourteen distinct gene modules were identified, and seven modules showed significant associations with the status of NAFLD. Module preservation analysis confirmed that these modules can also be found in diverse independent datasets. After network feature analysis, the magenta module demonstrated a remarkably correlation with NAFLD fibrosis. The top hub genes with high connectivity or gene significance in the module were ultimately determined, including LUM, THBS2, FBN1 and EFEMP1. These genes were further verified in clinical samples. Finally, the potential regulators of magenta module were characterized. These findings highlighted a module and affiliated genes as playing important roles in the regulation of fibrosis in NAFLD, which may point to potential targets for therapeutic interventions.

Indexed as

Gene Regulatory NetworksTranscriptomeAdipokinesAnimalsApolipoproteins EBiomarkersComputational BiologyDatasets as TopicDisease ProgressionExtracellular Matrix ProteinsFibrillin-1Gene Expression ProfilingGene Expression RegulationHumansLiver CirrhosisLumicanAdipokinesApolipoproteins EBiomarkersEFEMP1 protein, humanExtracellular Matrix ProteinsFBN1 protein, humanFibrillin-1LumicanLUM protein, humanThrombospondin 2Thrombospondins

Identifiers

PMID28684781
PMCPMC5500537
OpenAlexW2727229201

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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.