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pmid:32309355

The implementation of drug reposition for alcoholic hepatitis based on a sub-pathway integration strategy.

Wei Qi · Bing Wang · Ming Yang · Lin Zhu · Sen Hu · Hui Sun

Annals of translational medicine · 2020 doi:10.21037/atm.2020.01.36

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Experiment

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Data

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:32309355
kind
science-record
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sha256:84e798358d94184669e2b266d4fe4aafd299c9566da927309190e6fe9be892d7
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:40:59Z
updated_at
2026-11-01T22:01:31Z
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paper object · 10 fields
state
complete
title
The implementation of drug reposition for alcoholic hepatitis based on a sub-pathway integration strategy.
doi
10.21037/atm.2020.01.36
pmid
32309355
authors array · 6 items
[0]
Wei Qi
[1]
Bing Wang
[2]
Ming Yang
[3]
Lin Zhu
[4]
Sen Hu
[5]
Hui Sun
journal
Annals of translational medicine
year
2020
abstract
BACKGROUND: Alcoholic hepatitis (AH) is one of the most severe forms of liver disease. The therapies which are currently available are not entirely effective, and thus novel therapies are urgently needed. However, the development of these novel therapies is limited due to incomplete information about the molecular mechanisms involved in AH. METHODS: The microarray data (GSE28619) was downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between the AH and the control samples were identified using the significant analysis of microarrays (SAM) method. Metabolic sub-pathways were identified using the SubpathwayMiner R package. Cell Counting Kit-8 (CCK-8) was used to evaluate the cell viability of AML-12 cells treated with different concentrations of ethanol or riboflavin. Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were employed to show the hepatocyte function. RESULTS: A total of 1,041 genes were determined to be expressed differentially. We then identified 11 metabolic sub-pathways that could be involved in the development of AH. This was followed by a final integrated analysis of the sub-pathways involved in AH as well as the sub-pathways involved in the drug-affected cases. The final integration results led to the identification of 64 small molecular drugs. A potential novel drug (riboflavin) involved in the fatty acid metabolism pathway was identified for further investigation. Riboflavin at the 60 nM for 24 h could reverse ethanol-induced AML-12 cell injury and could markedly decrease ALT and AST activity. The decrease in the activities of these two enzymes was observed in a dose-dependent manner when it was compared to ethanol alone, which suggests that riboflavin has a protective effect against liver cell injury caused by alcoholism. CONCLUSIONS: To summarize, the candidate agents which are identified in the present study might give practitioners insight into the development of novel therapeutic approaches for AH.
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The differentially expressed genes (DEGs) between the AH and the control samples were identified using the significant analysis of microarrays (SAM) method.
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The differentially expressed genes (DEGs) between the AH and the control samples were identified using the significant analysis of microarrays (SAM) method.
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Microarray data for GSE28619 were obtained from the GEO database (http://www.ncbi.nlm.nih.gov/geo/) provided by the National Center of Biotechnology Information (NCBI). In this profile, hepatic gene expression was assessed in patients with AH (n=15) and controls with normal livers (n=7) using the Affymetrix Human Genome U133 Plus 2.0 Array platform (6).
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sections[3] "Identification of gene expression using microarray data" paragraph 2
quote
Microarray data for GSE28619 were obtained from the GEO database (http://www.ncbi.nlm.nih.gov/geo/) provided by the National Center of Biotechnology Information (NCBI). In this profile, hepatic gene expression was assessed in patients with AH (n=15) and controls with normal livers (n=7) using the Affymetrix Human Genome U133 Plus 2.0 Array platform (6).
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Microarray data for GSE28619 were obtained from the GEO database (http://www.ncbi.nlm.nih.gov/geo/) provided by the National Center of Biotechnology Information (NCBI). In this profile, hepatic gene expression was assessed in patients with AH (n=15) and controls with normal livers (n=7) using the Affymetrix Human Genome U133 Plus 2.0 Array platform (6).
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Microarray data for GSE28619 were obtained from the GEO database (http://www.ncbi.nlm.nih.gov/geo/) provided by the National Center of Biotechnology Information (NCBI). In this profile, hepatic gene expression was assessed in patients with AH (n=15) and controls with normal livers (n=7) using the Affymetrix Human Genome U133 Plus 2.0 Array platform (6).
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Transcriptome Analysis Identifies Fn14, a TNF Superfamily Receptor Member, as a Therapeutic Target in Alcoholic Hepatitis
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Enriched sub-pathways and their corresponding entire pathways
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Exploration of the AH mechanism based on sub-pathway enrichment analysis
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Enriched sub-pathways and their corresponding entire pathways
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Potential drugs and their information
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AH drug repositions
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Table 2
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Potential drugs and their information
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The differentially expressed genes (DEGs) between the AH and the control samples were identified using the significant analysis of microarrays (SAM) method.
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Microarray data for GSE28619 were obtained from the GEO database (http://www.ncbi.nlm.nih.gov/geo/) provided by the National Center of Biotechnology Information (NCBI). In this profile, hepatic gene expression was assessed in patients with AH (n=15) and controls with normal livers (n=7) using the Affymetrix Human Genome U133 Plus 2.0 Array platform (6).
basis
The paper names GSE28619 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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PMID 32309355 full text
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ular mechanisms involved in AH. METHODS: The microarray data (GSE28619) was downloaded from the Gene
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pathwayMiner R package. Cell Counting Kit-8 (CCK-8) was used to evaluate the cell viability of
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Complete file
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However, the development of these novel therapies is limited due to incomplete information about the molecular mechanisms involved in AH.\nMETHODS: The microarray data (GSE28619) was downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between the AH and the control samples were identified using the significant analysis of microarrays (SAM) method. Metabolic sub-pathways were identified using the SubpathwayMiner R package. Cell Counting Kit-8 (CCK-8) was used to evaluate the cell viability of AML-12 cells treated with different concentrations of ethanol or riboflavin. Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were employed to show the hepatocyte function.\nRESULTS: A total of 1,041 genes were determined to be expressed differentially. We then identified 11 metabolic sub-pathways that could be involved in the development of AH. This was followed by a final integrated analysis of the sub-pathways involved in AH as well as the sub-pathways involved in the drug-affected cases. The final integration results led to the identification of 64 small molecular drugs. A potential novel drug (riboflavin) involved in the fatty acid metabolism pathway was identified for further investigation. Riboflavin at the 60 nM for 24 h could reverse ethanol-induced AML-12 cell injury and could markedly decrease ALT and AST activity. The decrease in the activities of these two enzymes was observed in a dose-dependent manner when it was compared to ethanol alone, which suggests that riboflavin has a protective effect against liver cell injury caused by alcoholism.\nCONCLUSIONS: To summarize, the candidate agents which are identified in the present study might give practitioners insight into the development of novel therapeutic approaches for AH.", "claims": [{"id": "claim-method", "statement": "The differentially expressed genes (DEGs) between the AH and the control samples were identified using the significant analysis of microarrays (SAM) method.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32309355", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "The differentially expressed genes (DEGs) between the AH and the control samples were identified using the significant analysis of microarrays (SAM) method."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Microarray data for GSE28619 were obtained from the GEO database (http://www.ncbi.nlm.nih.gov/geo/) provided by the National Center of Biotechnology Information (NCBI). 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