Evidence map›Paper›PMID 38549107›Full record

ArticleBMC medical genomics2024

Comparative analysis of gene expression between mice and humans in acetaminophen-induced liver injury by integrating bioinformatics analysis.

Shanmin Zhao, Yan Feng, Jingyuan Zhang, Qianqian Zhang, Junyang Wang, Shufang Cui

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Establishment of human-relevantFrontiers in toxicology · 2026
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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

6 authors at 1 institution in 1 country.

Shanmin Zhao *Department of Laboratory Animal Sciences, School of Basic Medicine, Naval Medical University, NO. 800 Xiangyin Road, 200433, Shanghai, China.
Yan Feng *Department of Laboratory Animal Sciences, School of Basic Medicine, Naval Medical University, NO. 800 Xiangyin Road, 200433, Shanghai, China.
Jingyuan ZhangDepartment of Laboratory Animal Sciences, School of Basic Medicine, Naval Medical University, NO. 800 Xiangyin Road, 200433, Shanghai, China.
Qianqian ZhangDepartment of Laboratory Animal Sciences, School of Basic Medicine, Naval Medical University, NO. 800 Xiangyin Road, 200433, Shanghai, China.
Junyang WangDepartment of Laboratory Animal Sciences, School of Basic Medicine, Naval Medical University, NO. 800 Xiangyin Road, 200433, Shanghai, China.
Shufang CuiDepartment of Laboratory Animal Sciences, School of Basic Medicine, Naval Medical University, NO. 800 Xiangyin Road, 200433, Shanghai, China. youngstar_sf@163.com.
Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMice are routinely utilized as animal models of drug-induced liver injury (DILI), however, there are significant differences in the pathogenesis between mice and humans. This study aimed to compare gene expression between humans and mice in acetaminophen (APAP)-induced liver injury (AILI), and investigate the similarities and differences in biological processes between the two species.

methodsA pair of public datasets (GSE218879 and GSE120652) obtained from GEO were analyzed using "Limma" package in R language, and differentially expressed genes (DEGs) were identified, including co-expressed DEGs (co-DEGs) and specific-expressed DEGS (specific-DEGs). Analysis of Gene Set Enrichment Analysis (GSEA), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed analyses for specific-DEGs and co-DEGs. The co-DEGs were also used to construct transcription factor (TF)-gene network, gene-miRNA interactions network and protein-protein interaction (PPI) network for analyzing hub genes.

resultsMouse samples contained 1052 up-regulated genes and 1064 down-regulated genes, while human samples contained 1156 up-regulated genes and 1557 down-regulated genes. After taking the intersection between the DEGs, only 154 co-down-regulated and 89 co-up-regulated DEGs were identified, with a proportion of less than 10%. It was suggested that significant differences in gene expression between mice and humans in drug-induced liver injury. Mouse-specific-DEGs predominantly engaged in processes related to apoptosis and endoplasmic reticulum stress, while human-specific-DEGs were concentrated around catabolic process. Analysis of co-regulated genes reveals showed that they were mainly enriched in biosynthetic and metabolism-related processes. Then a PPI network which contains 189 nodes and 380 edges was constructed from the co-DEGs and two modules were obtained by Mcode. We screened out 10 hub genes by three algorithms of Degree, MCC and MNC, including CYP7A1, LSS, SREBF1, FASN, CD44, SPP1, ITGAV, ANXA5, LGALS3 and PDGFRA. Besides, TFs such as FOXC1, HINFP, NFKB1, miRNAs like mir-744-5p, mir-335-5p, mir-149-3p, mir-218-5p, mir-10a-5p may be the key regulatory factors of hub genes.

conclusionsThe DEGs of AILI mice models and those of patients were compared, and common biological processes were identified. The signaling pathways and hub genes in co-expression were identified between mice and humans through a series of bioinformatics analyses, which may be more valuable to reveal molecular mechanisms of AILI.

Indexed as

Chemical and Drug Induced Liver Injury, ChronicMicroRNAsAcetaminophenAnimalsComputational BiologyGene ExpressionGene Expression ProfilingGene Regulatory NetworksHumansMiceAcetaminophenMicroRNAsMIRN149 microRNA, humanMIRN218 microRNA, humanAcetaminophen-induced liver injuryBioinformatics analysisGene expressionMouse and human

Identifiers

PMID38549107
PMCPMC10976682
OpenAlexW4393277621

What Socratic 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 Socratic graph.