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pmid:32594092

Key genes associated with non-alcoholic fatty liver disease and acute myocardial infarction.

Weiran Dai · Yue Sun · Zhiyuan Jiang · Kuan Du · Ning Xia · Guoqiang Zhong

Medical science monitor : international medical journal of experimental and clinical research · 2020 doi:10.12659/MSM.922492

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complete

Experiment

complete

Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:32594092
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science-record
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2026-11-01T15:41:04Z
updated_at
2026-11-01T22:01:48Z
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paper object · 10 fields
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title
Key genes associated with non-alcoholic fatty liver disease and acute myocardial infarction.
doi
10.12659/MSM.922492
pmid
32594092
authors array · 6 items
[0]
Weiran Dai
[1]
Yue Sun
[2]
Zhiyuan Jiang
[3]
Kuan Du
[4]
Ning Xia
[5]
Guoqiang Zhong
journal
Medical science monitor : international medical journal of experimental and clinical research
year
2020
abstract
BACKGROUND With the increasing research on non-alcoholic fatty liver (NAFLD) and acute myocardial infarction (AMI), many evidences show a tight correlation between NAFLD and AMI, however the underlying pathophysiology is still not clear. This study was to identify the potential hub genes and pathways related to these two diseases via bioinformatic method. MATERIAL AND METHODS Gene Expression Omnibus (GEO) dataset GSE63067 of NAFLD patients and normal controls was downloaded from GEO database. The GSE60993 and GSE66360 datasets for AMI patients and healthy controls were also obtained. Differential expression genes (DEGs) of NAFLD and AMI datasets, accompanied with common genes between them were achieved. Further GO and KEGG enrichment analysis for common genes were performed. RESULTS To obtain the pathogenesis associated with both NAFLD and AMI, protein-protein interaction (PPI) network was constructed and the top ten hub genes (TLR2, LILRB2, CXCL1, FPR1, TLR4, TYROBP, MMP9, FCER1G, CLEC4D and CCR2) were selected with CONCLUSIONS The results of this study suggesting some novel genes may play an important role in the occurrence and progression NAFLD and AMI. But more experimental researches and clinical trials need to verify.
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Using SPSS 22.0 (SPSS, Inc, Chicago, IL, USA), we constructed receiver operating characteristic (ROC) curves and calculated the area under the curve (AUC) of the hub genes to compare the AUC as the index of the model.
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sections[7] "Statistical analysis" paragraph 2
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Using SPSS 22.0 (SPSS, Inc, Chicago, IL, USA), we constructed receiver operating characteristic (ROC) curves and calculated the area under the curve (AUC) of the hub genes to compare the AUC as the index of the model.
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The GSE63067 dataset contained the gene expression profiles of 11 NAFLD patients and 7 non-NAFLD controls.
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sections[3] "Microarray data collection" paragraph 2
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The GSE63067 dataset contained the gene expression profiles of 11 NAFLD patients and 7 non-NAFLD controls.
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Assessment and Diagnostic Relevance of Novel Serum Biomarkers for Early Decision of ST-elevation Myocardial Infarction
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Expression data from human non-alcoholic fatty liver disease stages
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The GSE63067 dataset contained the gene expression profiles of 11 NAFLD patients and 7 non-NAFLD controls.
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A Whole Blood Molecular Signature for the Identification of Acute Myocardial Infarction Without Relying Upon Myonecrosis (microarray)
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Seventy-eight common genes of NAFLD and AMI.
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Seventy-eight common genes of NAFLD and AMI.
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MGAM
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Using SPSS 22.0 (SPSS, Inc, Chicago, IL, USA), we constructed receiver operating characteristic (ROC) curves and calculated the area under the curve (AUC) of the hub genes to compare the AUC as the index of the model.
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The GSE63067 dataset contained the gene expression profiles of 11 NAFLD patients and 7 non-NAFLD controls.
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agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:32594092
parent_hash
sha256:e947dac08bae60e2586933ed4b620d269e5608b230e82c2036ae7b61e054cb3a
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE60993 licence not read
[1]
asset:data:geo:GSE60993 not downloaded
[2]
asset:data:geo:GSE63067 licence not read
[3]
asset:data:geo:GSE63067 not downloaded
[4]
asset:data:geo:GSE66360 licence not read
[5]
asset:data:geo:GSE66360 not downloaded
[6]
execution.not_run
[7]
method.reader_named_unmapped
[8]
review.human_critique
[9]
review.independent_reader
[10]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
network_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
protein-protein interaction
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32594092", "kind": "science-record", "revision": 6, "content_hash": "sha256:f6cff8c55b21e3cbbed3652433edb5b901511d04cb348ce37662fd30d11287eb", "created_at": "2026-11-01T15:41:04Z", "updated_at": "2026-11-01T22:01:48Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Key genes associated with non-alcoholic fatty liver disease and acute myocardial infarction.", "doi": "10.12659/MSM.922492", "pmid": "32594092", "authors": ["Weiran Dai", "Yue Sun", "Zhiyuan Jiang", "Kuan Du", "Ning Xia", "Guoqiang Zhong"], "journal": "Medical science monitor : international medical journal of experimental and clinical research", "year": 2020, "abstract": "BACKGROUND With the increasing research on non-alcoholic fatty liver (NAFLD) and acute myocardial infarction (AMI), many evidences show a tight correlation between NAFLD and AMI, however the underlying pathophysiology is still not clear. This study was to identify the potential hub genes and pathways related to these two diseases via bioinformatic method. MATERIAL AND METHODS Gene Expression Omnibus (GEO) dataset GSE63067 of NAFLD patients and normal controls was downloaded from GEO database. The GSE60993 and GSE66360 datasets for AMI patients and healthy controls were also obtained. Differential expression genes (DEGs) of NAFLD and AMI datasets, accompanied with common genes between them were achieved. Further GO and KEGG enrichment analysis for common genes were performed. RESULTS To obtain the pathogenesis associated with both NAFLD and AMI, protein-protein interaction (PPI) network was constructed and the top ten hub genes (TLR2, LILRB2, CXCL1, FPR1, TLR4, TYROBP, MMP9, FCER1G, CLEC4D and CCR2) were selected with CONCLUSIONS The results of this study suggesting some novel genes may play an important role in the occurrence and progression NAFLD and AMI. But more experimental researches and clinical trials need to verify.", "claims": [{"id": "claim-method", "statement": "Using SPSS 22.0 (SPSS, Inc, Chicago, IL, USA), we constructed receiver operating characteristic (ROC) curves and calculated the area under the curve (AUC) of the hub genes to compare the AUC as the index of the model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32594092", "locator": "sections[7] \"Statistical analysis\" paragraph 2", "quote": "Using SPSS 22.0 (SPSS, Inc, Chicago, IL, USA), we constructed receiver operating characteristic (ROC) curves and calculated the area under the curve (AUC) of the hub genes to compare the AUC as the index of the model."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The GSE63067 dataset contained the gene expression profiles of 11 NAFLD patients and 7 non-NAFLD controls.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32594092", "locator": "sections[3] \"Microarray data collection\" paragraph 2", "quote": "The GSE63067 dataset contained the gene expression profiles of 11 NAFLD patients and 7 non-NAFLD controls."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:32594092"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE60993"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE60993"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32594092", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.12659/MSM.922492", "sha256": "sha256:e77c9cab2f80c9269b51a4c22bed2dfd240f0a40bf61081293771a01083f72a8", "bytes": 19588, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.12659/MSM.922492", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7341693", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE60993", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE60993", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE60993", "version": null, "note": "The GSE63067 dataset contained the gene expression profiles of 11 NAFLD patients and 7 non-NAFLD controls.", "structure": 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