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pmid:35462486

[Bioinformatics screening and analysis of key differentially expressed genes characteristics in nonalcoholic fatty liver disease].

J X Ding · W B Huang · X X Jiang · L D Zhang · H Fang · J Jin

Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022 doi:10.3760/cma.j.cn501113-20210525-00251

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:35462486
kind
science-record
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sha256:c728b7763a1a55b52a48fecff1c3669fde2f4def88537c4b434a383b79544492
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2026-11-01T18:14:18Z
updated_at
2026-11-01T22:06:22Z
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corpus-assay-engine
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paper object · 10 fields
state
complete
title
[Bioinformatics screening and analysis of key differentially expressed genes characteristics in nonalcoholic fatty liver disease].
doi
10.3760/cma.j.cn501113-20210525-00251
pmid
35462486
authors array · 6 items
[0]
J X Ding
[1]
W B Huang
[2]
X X Jiang
[3]
L D Zhang
[4]
H Fang
[5]
J Jin
journal
Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology
year
2022
abstract
Objective: To screen and analyze the key differentially expressed genes characteristics in nonalcoholic fatty liver disease (NAFLD) with bioinformatics method. Methods: NAFLD-related expression matrix GSE89632 was downloaded from the GEO database. Limma package was used to screen differentially expressed genes (DEGs) in healthy, steatosis (SS), and nonalcoholic steatohepatitis (NASH) samples. WGCNA was used to analyze the output gene module. The intersection of module genes and differential genes was used to determine the differential genes characteristic, and then GO function and KEGG signaling pathway enrichment analysis were performed. The protein-protein interaction network (PPI) was constructed using the online website STRING and Cytoscape software, and the key (Hub) genes were screened. Finally, R software was used to analyze the receiver operating characteristic curve (ROC) of the Hub gene. Results: 92 differentially expressed genes characteristic were obtained through screening, which were mainly enriched in inflammatory response-related functions of "lipopolysaccharide response and molecular response of bacterial origin", as well as cancer signaling pathways of "proteoglycan in cancer" and "T-cell leukemia virus infection-related". 10 hub genes (FOS, CXCL8, SERPINE1, CYR61, THBS1, FOSL1, CCL2, MYC, SOCS3 and ATF3) had good diagnostic value. Conclusion: The differentially expressed hub genes among the 10 NAFLD disease-related characteristics obtained with bioinformatics analysis may become a diagnostic and prognostic marker and potential therapeutic target for NAFLD. However, further basic and clinical studies are needed to validate.
claims array · 3 items
[0] object · 6 fields
id
claim-method
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使用Limma包筛选健康样本、脂肪变性(SS)样本和非酒精性脂肪性肝炎(NASH)样本差异表达基因(DEGs),WGCNA分析输出模块基因
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
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locator
sections[0] "Abstract" paragraph 2
quote
使用Limma包筛选健康样本、脂肪变性(SS)样本和非酒精性脂肪性肝炎(NASH)样本差异表达基因(DEGs),WGCNA分析输出模块基因
state
complete
[1] object · 6 fields
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claim-data-access
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GEO数据库中下载NAFLD相关的表达矩阵GSE89632
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
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source:pmid:35462486
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sections[0] "Abstract" paragraph 2
quote
GEO数据库中下载NAFLD相关的表达矩阵GSE89632
state
complete
[2] object · 6 fields
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经筛选共获得92个特征差异表达基因,主要富集于“脂多糖反应和细菌起源分子反应”的炎症反应相关功能,以及“癌症中蛋白聚糖”和“T细胞白血病病毒感染相关”癌症信号通路。10个Hub基因(FOS,CXCL8,SERPINE1,CYR61,THBS1,FOSL1,CCL2,MYC,SOCS3和ATF3)具有较好的诊断价值。
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qualitative
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null
evidence array · 1 item
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source:pmid:35462486
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sections[0] "Abstract" paragraph 3
quote
经筛选共获得92个特征差异表达基因,主要富集于“脂多糖反应和细菌起源分子反应”的炎症反应相关功能,以及“癌症中蛋白聚糖”和“T细胞白血病病毒感染相关”癌症信号通路。10个Hub基因(FOS,CXCL8,SERPINE1,CYR61,THBS1,FOSL1,CCL2,MYC,SOCS3和ATF3)具有较好的诊断价值。
state
complete
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objective
经筛选共获得92个特征差异表达基因,主要富集于“脂多糖反应和细菌起源分子反应”的炎症反应相关功能,以及“癌症中蛋白聚糖”和“T细胞白血病病毒感染相关”癌症信号通路。10个Hub基因(FOS,CXCL8,SERPINE1,CYR61,THBS1,FOSL1,CCL2,MYC,SOCS3和ATF3)具有较好的诊断价值。
steps array · 3 items
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Read the published estimate from the source
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The claim, method and evidence span published with the source article.
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source:pmid:35462486
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the published estimate and its evidence
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The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
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data:geo:GSE89632
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the source data with its repository provenance
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Run the published analysis
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complete
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Apply the paper's statistical method to the resolved series and compare the result with the published target.
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data:geo:GSE89632
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the replicated result and its comparison
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https://doi.org/10.3760/cma.j.cn501113-20210525-00251
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10.3760/cma.j.cn501113-20210525-00251
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Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
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PMC12769433
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GSE89632
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GEO数据库中下载NAFLD相关的表达矩阵GSE89632
structure object · 15 fields
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GEO accession URL
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GEO数据库中下载NAFLD相关的表达矩阵GSE89632
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GSM2385720
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GSM2385726
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GSM2385734
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GSM2385760
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GSM2385762
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GSM2385763
[44]
GSM2385764
[45]
GSM2385765
[46]
GSM2385766
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GSM2385768
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GSM2385769
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GSM2385770
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GSM2385771
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GSM2385772
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GSM2385773
[54]
GSM2385774
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GSM2385775
[56]
GSM2385776
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[58]
GSM2385778
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GSM2385779
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GSM2385780
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GSM2385782
sample_count
63
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null
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null
platform
14951
taxon
Homo sapiens
title
Genome-wide analysis of hepatic gene expression in patients with non-alcoholic fatty liver disease and in healthy donors in relation to hepatic fatty acid composition and other nutritional factors
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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false
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[0]
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partial
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method-1
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differential_expression
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limma_voom
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Differential expression analysis
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normalise_counts
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differential_expression_fit
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[0]
count_matrix_with_condition
evidence object · 3 fields
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0.7
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medium
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Limma
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method-2
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network_analysis
specific
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Network / pathway analysis
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[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
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edge_list
evidence object · 3 fields
score
0.7
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medium
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protein-protein interaction
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method-3
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network_analysis
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Network / pathway analysis
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edge_list
evidence object · 3 fields
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0.7
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pathway enrichment
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method-4
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null
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Limma包;WGCNA分析
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evidence object · 3 fields
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quote
使用Limma包筛选健康样本、脂肪变性(SS)样本和非酒精性脂肪性肝炎(NASH)样本差异表达基因(DEGs),WGCNA分析输出模块基因
targets array · 0 items
gaps array · 1 item
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method.reader_named_unmapped
capability object · 3 fields
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complete
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capability:computational_analysis
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Computational analysis platform
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meta_analysis
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machine_learning
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survival_analysis
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statistical_regression
[4]
pca
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molecular_docking
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network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
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complete
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R1
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nothing:replicable_now
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fdr_bh
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom.
capability object · 4 fields
tier
R1
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capability:computational_analysis
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owned
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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GSE89632
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GSE89632
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[0]
GEO数据库中下载NAFLD相关的表达矩阵GSE89632
basis
The paper names GSE89632 in GEO数据库 and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
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GEO GSE89632
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PMID 35462486 full text
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35462486", "kind": "science-record", "revision": 4, "content_hash": "sha256:c728b7763a1a55b52a48fecff1c3669fde2f4def88537c4b434a383b79544492", "created_at": "2026-11-01T18:14:18Z", "updated_at": "2026-11-01T22:06:22Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "[Bioinformatics screening and analysis of key differentially expressed genes characteristics in nonalcoholic fatty liver disease].", "doi": "10.3760/cma.j.cn501113-20210525-00251", "pmid": "35462486", "authors": ["J X Ding", "W B Huang", "X X Jiang", "L D Zhang", "H Fang", "J Jin"], "journal": "Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology", "year": 2022, "abstract": "Objective: To screen and analyze the key differentially expressed genes characteristics in nonalcoholic fatty liver disease (NAFLD) with bioinformatics method. Methods: NAFLD-related expression matrix GSE89632 was downloaded from the GEO database. Limma package was used to screen differentially expressed genes (DEGs) in healthy, steatosis (SS), and nonalcoholic steatohepatitis (NASH) samples. WGCNA was used to analyze the output gene module. The intersection of module genes and differential genes was used to determine the differential genes characteristic, and then GO function and KEGG signaling pathway enrichment analysis were performed. The protein-protein interaction network (PPI) was constructed using the online website STRING and Cytoscape software, and the key (Hub) genes were screened. Finally, R software was used to analyze the receiver operating characteristic curve (ROC) of the Hub gene. Results: 92 differentially expressed genes characteristic were obtained through screening, which were mainly enriched in inflammatory response-related functions of \"lipopolysaccharide response and molecular response of bacterial origin\", as well as cancer signaling pathways of \"proteoglycan in cancer\" and \"T-cell leukemia virus infection-related\". 10 hub genes (FOS, CXCL8, SERPINE1, CYR61, THBS1, FOSL1, CCL2, MYC, SOCS3 and ATF3) had good diagnostic value. Conclusion: The differentially expressed hub genes among the 10 NAFLD disease-related characteristics obtained with bioinformatics analysis may become a diagnostic and prognostic marker and potential therapeutic target for NAFLD. However, further basic and clinical studies are needed to validate.", "claims": [{"id": "claim-method", "statement": "使用Limma包筛选健康样本、脂肪变性(SS)样本和非酒精性脂肪性肝炎(NASH)样本差异表达基因(DEGs),WGCNA分析输出模块基因", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35462486", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "使用Limma包筛选健康样本、脂肪变性(SS)样本和非酒精性脂肪性肝炎(NASH)样本差异表达基因(DEGs),WGCNA分析输出模块基因"}], "state": "complete"}, {"id": "claim-data-access", "statement": "GEO数据库中下载NAFLD相关的表达矩阵GSE89632", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35462486", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "GEO数据库中下载NAFLD相关的表达矩阵GSE89632"}], "state": "complete"}, {"id": "claim-target-result", "statement": "经筛选共获得92个特征差异表达基因,主要富集于“脂多糖反应和细菌起源分子反应”的炎症反应相关功能,以及“癌症中蛋白聚糖”和“T细胞白血病病毒感染相关”癌症信号通路。10个Hub基因(FOS,CXCL8,SERPINE1,CYR61,THBS1,FOSL1,CCL2,MYC,SOCS3和ATF3)具有较好的诊断价值。", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35462486", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "经筛选共获得92个特征差异表达基因,主要富集于“脂多糖反应和细菌起源分子反应”的炎症反应相关功能,以及“癌症中蛋白聚糖”和“T细胞白血病病毒感染相关”癌症信号通路。10个Hub基因(FOS,CXCL8,SERPINE1,CYR61,THBS1,FOSL1,CCL2,MYC,SOCS3和ATF3)具有较好的诊断价值。"}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "经筛选共获得92个特征差异表达基因,主要富集于“脂多糖反应和细菌起源分子反应”的炎症反应相关功能,以及“癌症中蛋白聚糖”和“T细胞白血病病毒感染相关”癌症信号通路。10个Hub基因(FOS,CXCL8,SERPINE1,CYR61,THBS1,FOSL1,CCL2,MYC,SOCS3和ATF3)具有较好的诊断价值。", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35462486"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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