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pmid:41063917

401-Gene Signature of Myocardial Dysfunction in Human Heart Failure: A Transcriptomic Analysis.

Kiki J Estes-Schmalzl · Amy J Marcano-Reik · Kristin M Lefebvre

Cureus · 2025 doi:10.7759/cureus.91745

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

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title
401-Gene Signature of Myocardial Dysfunction in Human Heart Failure: A Transcriptomic Analysis.
doi
10.7759/cureus.91745
pmid
41063917
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Kiki J Estes-Schmalzl
[1]
Amy J Marcano-Reik
[2]
Kristin M Lefebvre
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Cureus
year
2025
abstract
Background Heart failure is a complex clinical syndrome characterized by the molecular remodeling of myocardial tissue that significantly impacts global health outcomes. Transcriptomic analysis offers powerful tools to identify disease-specific gene expression signatures and potential therapeutic targets. Methods We analyzed publicly available gene expression data from the Gene Expression Omnibus (GEO) dataset GSE57345, comprising 313 left ventricular tissue samples (295 controls, 18 heart failure) profiled using Affymetrix Human Gene 1.1 ST Arrays (Thermo Fisher Scientific, Waltham, Massachusetts, United States). Differential expression analysis was performed using limma with Benjamini-Hochberg multiple testing correction. Results We identified 401 significantly differentially expressed genes (adjusted p<0.05) between heart failure and control samples. The molecular signature showed balanced dysregulation with 198 genes upregulated and 203 genes downregulated in heart failure. Pathway analysis revealed significant enrichment in mitochondrial dysfunction, immune activation, and extracellular matrix remodeling pathways. Top dysregulated genes included AIDC1, SECA1, PVRL2, PLD1, and KTR3CL3, with high statistical significance (p<1×10⁻⁶) despite modest fold changes characteristic of complex disease pathophysiology. Cross-validation with established heart failure signatures showed significant overlap (31.7% concordance), confirming biological relevance. Conclusions This 401-gene transcriptomic signature provides insights into heart failure molecular mechanisms and represents a potential resource for biomarker development and therapeutic target identification. The balanced pattern of gene dysregulation reflects the comprehensive transcriptional remodeling underlying cardiac dysfunction and supports precision medicine approaches for heart failure diagnosis and treatment stratification.
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Differential expression analysis was performed using the limma package (version 3.54.0) [18] in R statistical software version 4.5.0 (R Foundation for Statistical Computing, Vienna, Austria) [19].
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Differential expression analysis was performed using the limma package (version 3.54.0) [18] in R statistical software version 4.5.0 (R Foundation for Statistical Computing, Vienna, Austria) [19].
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The study identified 401 significantly differentially expressed genes between heart failure and control samples.
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We identified 401 significantly differentially expressed genes (adjusted p<0.05) between heart failure and control samples.
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We identified 401 significantly differentially expressed genes (adjusted p<0.05) between heart failure and control samples.
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title
RNA-Seq Identifies Novel Myocardial Gene Expression Signatures of Heart Failure
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5 controls, 18 heart failure) profiled using Affymetrix Human Gene 1.1 ST Arrays (Thermo Fisher Scie
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Differential expression analysis was performed using the limma package (version 3.54.0) [18] in R statistical software version 4.5.0 (R Foundation for Statistical Computing, Vienna, Austria) [19].
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41063917", "kind": "science-record", "revision": 4, "content_hash": "sha256:a5a976ba736cf8aae29152f8ab51b2f5ae9aafcb2d3c0c4422d3294b2eb9fd24", "created_at": "2026-11-01T20:31:07Z", "updated_at": "2026-11-01T22:57:16Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "401-Gene Signature of Myocardial Dysfunction in Human Heart Failure: A Transcriptomic Analysis.", "doi": "10.7759/cureus.91745", "pmid": "41063917", "authors": ["Kiki J Estes-Schmalzl", "Amy J Marcano-Reik", "Kristin M Lefebvre"], "journal": "Cureus", "year": 2025, "abstract": "Background Heart failure is a complex clinical syndrome characterized by the molecular remodeling of myocardial tissue that significantly impacts global health outcomes. Transcriptomic analysis offers powerful tools to identify disease-specific gene expression signatures and potential therapeutic targets. Methods We analyzed publicly available gene expression data from the Gene Expression Omnibus (GEO) dataset GSE57345, comprising 313 left ventricular tissue samples (295 controls, 18 heart failure) profiled using Affymetrix Human Gene 1.1 ST Arrays (Thermo Fisher Scientific, Waltham, Massachusetts, United States). Differential expression analysis was performed using limma with Benjamini-Hochberg multiple testing correction. Results We identified 401 significantly differentially expressed genes (adjusted p<0.05) between heart failure and control samples. The molecular signature showed balanced dysregulation with 198 genes upregulated and 203 genes downregulated in heart failure. Pathway analysis revealed significant enrichment in mitochondrial dysfunction, immune activation, and extracellular matrix remodeling pathways. Top dysregulated genes included AIDC1, SECA1, PVRL2, PLD1, and KTR3CL3, with high statistical significance (p<1×10⁻⁶) despite modest fold changes characteristic of complex disease pathophysiology. Cross-validation with established heart failure signatures showed significant overlap (31.7% concordance), confirming biological relevance. Conclusions This 401-gene transcriptomic signature provides insights into heart failure molecular mechanisms and represents a potential resource for biomarker development and therapeutic target identification. The balanced pattern of gene dysregulation reflects the comprehensive transcriptional remodeling underlying cardiac dysfunction and supports precision medicine approaches for heart failure diagnosis and treatment stratification.", "claims": [{"id": "claim-method", "statement": "Differential expression analysis was performed using the limma package (version 3.54.0) [18] in R statistical software version 4.5.0 (R Foundation for Statistical Computing, Vienna, Austria) [19].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41063917", "locator": "sections[2] \"Materials and methods\" paragraph 8", "quote": "Differential expression analysis was performed using the limma package (version 3.54.0) [18] in R statistical software version 4.5.0 (R Foundation for Statistical Computing, Vienna, Austria) [19]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Primary data are publicly accessible through the GEO dataset GSE57345 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57345). Analysis code and processed results are available upon reasonable request from the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41063917", "locator": "sections[2] \"Materials and methods\" paragraph 16", "quote": "Primary data are publicly accessible through the GEO dataset GSE57345 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57345). Analysis code and processed results are available upon reasonable request from the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study identified 401 significantly differentially expressed genes between heart failure and control samples.", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "We identified 401 significantly differentially expressed genes (adjusted p<0.05) between heart failure and control samples."}, "evidence": [{"asset": "source:pmid:41063917", "locator": "sections[0] \"Abstract\" paragraph 6", "quote": "We identified 401 significantly differentially expressed genes (adjusted p<0.05) between heart failure and control samples."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study identified 401 significantly differentially expressed genes between heart failure and control samples.", "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:41063917"], "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:GSE57345"], "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:GSE57345"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41063917", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.7759/cureus.91745", "sha256": "sha256:f3229fb331092ecc54e5c82e40c6e9cce28df272acaad9f0a350671652b52c37", "bytes": 51993, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.7759/cureus.91745", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12502992", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE57345", "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=GSE57345", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE57345", "version": null, "note": "Primary data are publicly accessible through the GEO dataset GSE57345 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57345). 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Control samples were derived fro", "yocardial tissue samples generated using the Affymetrix Human Gene 1.1 ST Array platform (GPL11532)", "ormed to retain high-quality probes based on Affymetrix annotation flags, excluding probes with inad"], "order_basis": "paper_text_order:570", "id": "assay:1"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Differential expression analysis was performed using the limma package (version 3.54.0) [18] in R statistical software version 4.5.0 (R Foundation for Statistical Computing, Vienna, Austria) [19]."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}