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pmid:40409241

RPS27A as a potential clock-related diagnostic biomarker for myocardial infarction: Comprehensive bioinformatics analysis and experimental validation.

Rui Xu · Changshun Yan · GuiQiu Cao

Clinics (Sao Paulo, Brazil) · 2025 doi:10.1016/j.clinsp.2025.100677

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
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pmid:40409241
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science-record
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2026-11-01T20:30:33Z
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title
RPS27A as a potential clock-related diagnostic biomarker for myocardial infarction: Comprehensive bioinformatics analysis and experimental validation.
doi
10.1016/j.clinsp.2025.100677
pmid
40409241
authors array · 3 items
[0]
Rui Xu
[1]
Changshun Yan
[2]
GuiQiu Cao
journal
Clinics (Sao Paulo, Brazil)
year
2025
abstract
BACKGROUND: The circadian system plays a crucial role in managing cardiovascular functions, with disturbances in this system associated with Myocardial Infarction (MI). Despite this connection, the exact mechanisms by which clock genes influence MI occurrence are not well-defined. This research focused on investigating the link between clock genes and MI. METHODS: The authors examined MI microarray datasets (GSE151412 and GSE60993) from the GEO database, concentrating on Differentially Expressed Genes (DEGs) associated with the circadian system. To clarify critical biological functions and pathways, the authors performed enrichment analyses using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Through Lasso regression, the authors pinpointed hub genes and confirmed their relevance using both the GSE66360 dataset and quantitative Reverse Transcription-Polymerase Chain Reaction (qRT-PCR). Furthermore, the authors conducted single-Gene Set Enrichment Analysis (GSEA) to reveal pathways linked to the hub gene. The analysis extended to exploring drug interactions and networks involving competing endogenous RNA (ceRNA). RESULTS: The present analysis identified ten clock genes associated with circadian rhythms that showed differential expression between MI patients and healthy controls. Enrichment analysis suggested these genes' roles in pathways like the Gap junction and circadian rhythm pathways. Following Lasso regression and validation, RPS27A was identified as the main hub gene. GSEA further highlighted enriched pathways, such as mismatch repair. Additionally, immune infiltration analysis revealed notable differences in B-cell and CD4+ T-cell populations between the MI group and the control group. CONCLUSION: The present findings suggest that the clock-related gene RPS27A is associated with MI, potentially influencing its development through circadian rhythm regulation. These results enhance the understanding of MI pathogenesis and may offer new avenues for therapeutic intervention.
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In this study, the authors used the R package limma for data analysis, obtaining an expression matrix for circadian rhythm genes from the GSEA website (https://www.gsea-msigdb.org/gsea/downloads.jsp) that included 201 clock-related genes.
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sections[4] "Identification of clock-associated DEGs" paragraph 2
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In this study, the authors used the R package limma for data analysis, obtaining an expression matrix for circadian rhythm genes from the GSEA website (https://www.gsea-msigdb.org/gsea/downloads.jsp) that included 201 clock-related genes.
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sections[27] "Availability of data and materials" paragraph 2
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The datasets used and analyzed during the current study are available from NCBI GEO: GSE141512, GSE60993 and GSE66360.
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RPS27A was identified as the main hub gene among ten clock genes associated with myocardial infarction.
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The present analysis identified ten clock genes associated with circadian rhythms that showed differential expression between MI patients and healthy controls.
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Following Lasso regression and validation, RPS27A was identified as the main hub gene.
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RPS27A was identified as the main hub gene among ten clock genes associated with myocardial infarction.
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asset:data:geo:GSE66360 licence not read
[5]
asset:data:geo:GSE66360 not downloaded
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execution.not_run
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method.reader_differs_from_extractor
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review.human_critique
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review.machine_critique
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nes and MI. METHODS: The authors examined MI microarray datasets (GSE151412 and GSE60993) from the G
[1]
ata or gene expression profiles derived from microarray data. The normalized datasets (GSE141512 and
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experiments were conducted using peripheral blood samples from patients diagnosed with MI. Participants wer
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tration levels of 24 immune cell types using RNA-Seq data or gene expression profiles derived fro
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In this study, the authors used the R package limma for data analysis, obtaining an expression matrix for circadian rhythm genes from the GSEA website (https://www.gsea-msigdb.org/gsea/downloads.jsp) that included 201 clock-related genes.
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Complete file
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Despite this connection, the exact mechanisms by which clock genes influence MI occurrence are not well-defined. This research focused on investigating the link between clock genes and MI.\nMETHODS: The authors examined MI microarray datasets (GSE151412 and GSE60993) from the GEO database, concentrating on Differentially Expressed Genes (DEGs) associated with the circadian system. To clarify critical biological functions and pathways, the authors performed enrichment analyses using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Through Lasso regression, the authors pinpointed hub genes and confirmed their relevance using both the GSE66360 dataset and quantitative Reverse Transcription-Polymerase Chain Reaction (qRT-PCR). Furthermore, the authors conducted single-Gene Set Enrichment Analysis (GSEA) to reveal pathways linked to the hub gene. The analysis extended to exploring drug interactions and networks involving competing endogenous RNA (ceRNA).\nRESULTS: The present analysis identified ten clock genes associated with circadian rhythms that showed differential expression between MI patients and healthy controls. Enrichment analysis suggested these genes' roles in pathways like the Gap junction and circadian rhythm pathways. Following Lasso regression and validation, RPS27A was identified as the main hub gene. GSEA further highlighted enriched pathways, such as mismatch repair. Additionally, immune infiltration analysis revealed notable differences in B-cell and CD4+ T-cell populations between the MI group and the control group.\nCONCLUSION: The present findings suggest that the clock-related gene RPS27A is associated with MI, potentially influencing its development through circadian rhythm regulation. These results enhance the understanding of MI pathogenesis and may offer new avenues for therapeutic intervention.", "claims": [{"id": "claim-method", "statement": "In this study, the authors used the R package limma for data analysis, obtaining an expression matrix for circadian rhythm genes from the GSEA website (https://www.gsea-msigdb.org/gsea/downloads.jsp) that included 201 clock-related genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40409241", "locator": "sections[4] \"Identification of clock-associated DEGs\" paragraph 2", "quote": "In this study, the authors used the R package limma for data analysis, obtaining an expression matrix for circadian rhythm genes from the GSEA website (https://www.gsea-msigdb.org/gsea/downloads.jsp) that included 201 clock-related genes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and analyzed during the current study are available from NCBI GEO: GSE141512, GSE60993 and GSE66360.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40409241", "locator": "sections[27] \"Availability of data and materials\" paragraph 2", "quote": "The datasets used and analyzed during the current study are available from NCBI GEO: GSE141512, GSE60993 and GSE66360."}], "state": "complete"}, {"id": "claim-target-result", "statement": "RPS27A was identified as the main hub gene among ten clock genes associated with myocardial infarction.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40409241", "locator": "sections[0] \"Abstract\" paragraph 9", "quote": "The present analysis identified ten clock genes associated with circadian rhythms that showed differential expression between MI patients and healthy controls."}, {"asset": "source:pmid:40409241", "locator": "sections[0] \"Abstract\" paragraph 9", "quote": "Following Lasso regression and validation, RPS27A was identified as the main hub gene."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "RPS27A was identified as the main hub gene among ten clock genes associated with myocardial infarction.", "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:40409241"], "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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