Evidence map›Paper›PMID 32686296›Full record

ArticleJournal of cellular and molecular medicine2020

Systematic analysis on multiple Gene Expression Omnibus data sets reveals fierce immune response in hepatitis B virus-related acute liver failure.

Huadi Chen, Wenting Zhao, Yixi Zhang, Yiwen Guo, Weixin Luo, Xiaobo Wang, Yu Nie, Maodong Ye, Changjun Huang, Dongping Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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, 6 citations in OpenAlex.

  1. Liver Macrophages in the Pathogenesis of Viral Hepatitis.Current issues in molecular biology · 2026
    Review
  2. Article
  3. Article
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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

13 authors at 3 institutions in 1 country.

Huadi ChenOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-1192-1131
Wenting ZhaoSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Yixi ZhangLiver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yiwen GuoOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Weixin LuoOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaobo WangOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yu NieOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Maodong YeOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Changjun HuangOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Dongping WangOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Maogen ChenOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaoshun HeOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Qiang ZhaoOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNCapital Medical University · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute liver failure (ALF) caused by hepatitis B virus (HBV) is common type of liver failure in the world, with high morbidity and mortality rates. However, the prevalence, genetic background and factors determining the development of HBV-related ALF are rarely studied. In this study, we examined three Gene Expression Omnibus (GEO) data sets by bioinformatics analysis to identify differentially expressed genes (DEGs), key biological processes and pathways. Immune infiltration analysis showed high immune cells infiltration in HBV-related ALF tissue. We then confirmed natural killer cells and macrophages infiltration in clinical samples by immunohistochemistry assay, implying these cells play a significant role in HBV-ALF. We found 1277 genes were co-up-regulated and that 1082 genes were co-down-regulated in the 3 data sets. Inflammation-related pathways were enriched in the co-up-regulated genes and synthetic metabolic pathways were enriched in the co-down-regulated genes. WGCNA also revealed a key module enriching in immune inflammation response and identified 10 hub genes, differentially expressed in an independent data set. In conclusion, we identified fierce immune inflammatory response to elucidate the immune-driven mechanism of HBV-ALF and 10 hub genes based on gene expression profiles.

Indexed as

Computational BiologyFemaleGene Expression ProfilingGene Expression RegulationGene OntologyHepatitis BHepatitis B virusHumansImmunityInflammationLiver Failure, AcuteMaleProtein Interaction Mapsbioinformatics analysisHBV-ALFimmuneinflammationWGCNA

Identifiers

PMID32686296
PMCPMC7520256
OpenAlexW3042336587

What OpenQuestion holds

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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.