Evidence map›Paper›PMID 40649881›Full record

ArticleInternational journal of molecular sciences2025

Identification of Key Genes for Alcoholic Hepatitis Using Integrated Network Analysis of Differential lncRNA and Gene Expression.

Bihuan Hu, Hui Xia, Peixuan Tian, Xinbao Li, Yu Yang, Zixuan Zhu, Yajie Zhou, Wang Liao, Shoakang Wang, Ligang Yang and 2 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

12 authors.

Bihuan HuKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.
Hui XiaKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.ORCID 0000-0002-4851-3732
Peixuan TianKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.
Xinbao LiKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.
Yu YangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.
Zixuan ZhuKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.
Yajie ZhouKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.ORCID 0009-0001-5450-3354
Wang LiaoKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.ORCID 0000-0001-8319-2199
Shoakang WangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.ORCID 0000-0002-7503-7655
Ligang YangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.ORCID 0000-0002-4027-1580
Guiju SunKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.ORCID 0000-0001-5969-2185
Jing SuiKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China.ORCID 0000-0001-8223-9872

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alcoholic liver disease (ALD) is a type of liver disease with complex pathogenic factors. In 2019, alcohol caused 11 million life-years to be lost globally, and the mortality rate has continued to rise. This study aims to explore the exclusive gene profile of AH and construct an mRNA-lncRNA regulatory network through an integrative analysis and database validation to reveal potential key biomarkers. We obtained expression data for alcoholic hepatitis from the GEO database; screened differentially expressed genes (DEGs) through a weighted gene co-expression network analysis (WGCNA); conducted a GO&KEGG analysis; and focused on the enrichment pathways for the top 20 genes. Hub genes were selected using cytoHubba and MCODE to construct the mRNA-lncRNA regulatory network, and key genes were confirmed using GSE167308 and GSE28619. We obtained 2552 differentially expressed mRNAs and 555 differentially expressed lncRNAs from three databases. Differentially expressed genes are mainly involved in pathways such as lipid metabolism disorders, complement activation, the activation of cancer-related pathways, the excessive activation of inflammatory immunity, and the initiation of cell adhesion and fibrosis. Based on the hub gene analysis, we screened out 43 key genes. By constructing the key mRNA-lncRNA-pathway network, we identified 12 mRNAs (AQP1, ELOVL7, ITPR3, KRT19, KRT23, LAMC2, MMP7, PROM1, SPINT1, STK39, TNFRSF21, and VTCN1) and 14 lncRNAs that play an important role in the occurrence and development of alcoholic hepatitis. To sum up, this article mainly expounds upon the key genes in the occurrence and development of alcoholic hepatitis. The key genes are mainly concentrated within signaling pathways such as metabolic pathways, fatty acid metabolism, and cancer pathways. Twelve differentially expressed mRNAs in the co-expression network can be used as biomarkers and intervention targets for the diagnosis and treatment of alcoholic hepatitis.

Indexed as

Gene Expression RegulationGene Regulatory NetworksHepatitis, AlcoholicRNA, Long NoncodingComputational BiologyDatabases, GeneticGene Expression ProfilingGene OntologyHumansRNA, MessengerTranscriptomeRNA, Long NoncodingRNA, Messengeralcoholic hepatitishub gene analysislncRNAsmRNAs

Identifiers

PMID40649881
PMCPMC12250007

What OpenQuestion holds

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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.