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pmid:40775796

Integrated analysis of gene networks and cellular functions identifies novel heart failure biomarkers.

Jiang Juncheng · Chen Lei · Lin Hao · Liang Fei

Hereditas · 2025 doi:10.1186/s41065-025-00521-5

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:40775796
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science-record
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2026-11-01T20:30:52Z
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paper object · 10 fields
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title
Integrated analysis of gene networks and cellular functions identifies novel heart failure biomarkers.
doi
10.1186/s41065-025-00521-5
pmid
40775796
authors array · 4 items
[0]
Jiang Juncheng
[1]
Chen Lei
[2]
Lin Hao
[3]
Liang Fei
journal
Hereditas
year
2025
abstract
INTRODUCTION: Heart failure (HF) is a complex clinical condition characterized by impaired cardiac function and progressive structural remodeling. To elucidate the molecular mechanisms driving HF, this study aimed to identify key regulatory hub genes, explore their functional relevance, and assess their diagnostic and therapeutic potential. METHODS: Four public microarray datasets (GSE161472, GSE147236, GSE116250, and GSE46224) were retrieved from the Gene Expression Omnibus (GEO) database. Differential expression analysis using the limma package in R identified Differentially expressed genes (DEGs), which were further analyzed via Venn diagrams, STRING PPI networks, and Cytoscape's CytoHubba plugin to determine top hub genes. RT-qPCR and Western blotting were used to validate gene expression in HF and normal cardiomyocyte cell lines. Functional assays (proliferation, colony formation, and wound healing) were conducted following overexpression of COL9A1 and MTIF3. miRNA regulation and immune cell infiltration were analyzed using TargetScan and CIBERSORT, respectively. Enrichment analysis was performed via DAVID, and drug prediction was conducted using DGIdb. RESULTS: Four hub genes-COL9A1, MTIF3, MRPS25, and HMGN1-were consistently downregulated in HF and exhibited high diagnostic potential (AUC > 0.8). Overexpression of COL9A1 and MTIF3 significantly reduced cell proliferation, colony formation, and migration in HF cell lines. Immune infiltration analysis revealed strong negative correlations between hub gene expression and various immune cell types. Drug prediction identified Milrinone as a potential therapeutic candidate targeting COL9A1. CONCLUSION: COL9A1, MTIF3, MRPS25, and HMGN1 emerge as critical biomarkers and regulators in HF, offering promising avenues for diagnosis, mechanistic understanding, and targeted therapy development.
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These datasets were analyzed using the limma package to identify DEGs between HF and normal control samples.
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sections[17] "Identification of hub genes in HF" paragraph 2
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These datasets were analyzed using the limma package to identify DEGs between HF and normal control samples.
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sections[30] "Data availability" paragraph 2
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Any type of the data will be provided by the corresponding author.
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Four hub genes—COL9A1, MTIF3, MRPS25, and HMGN1—were consistently downregulated in HF and exhibited high diagnostic potential (AUC > 0.8).
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sections[0] "Abstract" paragraph 3
quote
Four hub genes—COL9A1, MTIF3, MRPS25, and HMGN1—were consistently downregulated in HF and exhibited high diagnostic potential (AUC > 0.8).
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Four hub genes—COL9A1, MTIF3, MRPS25, and HMGN1—were consistently downregulated in HF and exhibited high diagnostic potential (AUC > 0.8).
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Altered Enhancer and Promoter Usage Leads to Differential Gene Expression in the Normal and Failed Human Heart
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Chamber-Enriched gene expression profiles in failing human hearts with reduced ejection fraction [RNA-Seq]
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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:40775796
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sha256:d428256aed9d7803c40ca48b9948c9423d702eda1c8e016a96cf378021b189c9
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE116250 licence not read
[1]
asset:data:geo:GSE116250 not downloaded
[2]
asset:data:geo:GSE147236 licence not read
[3]
asset:data:geo:GSE147236 not downloaded
[4]
asset:data:geo:GSE161472 licence not read
[5]
asset:data:geo:GSE161472 not downloaded
[6]
asset:data:geo:GSE36074 licence not read
[7]
asset:data:geo:GSE36074 not downloaded
[8]
execution.not_run
[9]
method.reader_differs_from_extractor
[10]
review.human_critique
[11]
review.independent_reader
[12]
review.machine_critique
assays array · 4 items
[0] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
therapeutic potential. METHODS: Four public microarray datasets (GSE161472, GSE147236, GSE116250, a
[1]
isons. Differential expression analysis from microarray datasets was conducted using the limma packa
order_basis
paper_text_order:423
id
assay:1
[1] object · 11 fields
role
data_generation
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99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
CytoHubba plugin to determine top hub genes. RT-qPCR and Western blotting were used to validate g
[1]
oHubba plugin to determine top hub genes. RT-qPCR and Western blotting were used to validate g
order_basis
paper_text_order:795
id
assay:2
[2] object · 11 fields
role
data_generation
definition_id
western_blot
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
ugin to determine top hub genes. RT-qPCR and Western blotting were used to validate gene expression in HF
order_basis
paper_text_order:807
id
assay:3
[3] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
These datasets were analyzed using the limma package to identify DEGs between HF and normal control samples.
order_basis
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assay:4
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40775796", "kind": "science-record", "revision": 4, "content_hash": "sha256:02318e2c0336b99cb771f0eaf0724d54530fedfef099e362244848c30673150d", "created_at": "2026-11-01T20:30:52Z", "updated_at": "2026-11-01T22:56:58Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrated analysis of gene networks and cellular functions identifies novel heart failure biomarkers.", "doi": "10.1186/s41065-025-00521-5", "pmid": "40775796", "authors": ["Jiang Juncheng", "Chen Lei", "Lin Hao", "Liang Fei"], "journal": "Hereditas", "year": 2025, "abstract": "INTRODUCTION: Heart failure (HF) is a complex clinical condition characterized by impaired cardiac function and progressive structural remodeling. To elucidate the molecular mechanisms driving HF, this study aimed to identify key regulatory hub genes, explore their functional relevance, and assess their diagnostic and therapeutic potential.\nMETHODS: Four public microarray datasets (GSE161472, GSE147236, GSE116250, and GSE46224) were retrieved from the Gene Expression Omnibus (GEO) database. Differential expression analysis using the limma package in R identified Differentially expressed genes (DEGs), which were further analyzed via Venn diagrams, STRING PPI networks, and Cytoscape's CytoHubba plugin to determine top hub genes. RT-qPCR and Western blotting were used to validate gene expression in HF and normal cardiomyocyte cell lines. Functional assays (proliferation, colony formation, and wound healing) were conducted following overexpression of COL9A1 and MTIF3. miRNA regulation and immune cell infiltration were analyzed using TargetScan and CIBERSORT, respectively. Enrichment analysis was performed via DAVID, and drug prediction was conducted using DGIdb.\nRESULTS: Four hub genes-COL9A1, MTIF3, MRPS25, and HMGN1-were consistently downregulated in HF and exhibited high diagnostic potential (AUC > 0.8). Overexpression of COL9A1 and MTIF3 significantly reduced cell proliferation, colony formation, and migration in HF cell lines. Immune infiltration analysis revealed strong negative correlations between hub gene expression and various immune cell types. Drug prediction identified Milrinone as a potential therapeutic candidate targeting COL9A1.\nCONCLUSION: COL9A1, MTIF3, MRPS25, and HMGN1 emerge as critical biomarkers and regulators in HF, offering promising avenues for diagnosis, mechanistic understanding, and targeted therapy development.", "claims": [{"id": "claim-method", "statement": "These datasets were analyzed using the limma package to identify DEGs between HF and normal control samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40775796", "locator": "sections[17] \"Identification of hub genes in HF\" paragraph 2", "quote": "These datasets were analyzed using the limma package to identify DEGs between HF and normal control samples."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Any type of the data will be provided by the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40775796", "locator": "sections[30] \"Data availability\" paragraph 2", "quote": "Any type of the data will be provided by the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Four hub genes—COL9A1, MTIF3, MRPS25, and HMGN1—were consistently downregulated in HF and exhibited high diagnostic potential (AUC > 0.8).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40775796", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Four hub genes—COL9A1, MTIF3, MRPS25, and HMGN1—were consistently downregulated in HF and exhibited high diagnostic potential (AUC > 0.8)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Four hub genes—COL9A1, MTIF3, MRPS25, and HMGN1—were consistently downregulated in HF and exhibited high diagnostic potential (AUC > 0.8).", "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:40775796"], "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:GSE116250"], "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:GSE116250"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:40775796", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s41065-025-00521-5", "sha256": 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METHODS: Four public microarray datasets (GSE161472, GSE147236, GSE116250, a", "isons. Differential expression analysis from microarray datasets was conducted using the limma packa"], "order_basis": "paper_text_order:423", "id": "assay:1"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["CytoHubba plugin to determine top hub genes. RT-qPCR and Western blotting were used to validate g", "oHubba plugin to determine top hub genes. RT-qPCR and Western blotting were used to validate g"], "order_basis": "paper_text_order:795", "id": "assay:2"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["ugin to determine top hub genes. RT-qPCR and Western blotting were used to validate gene expression in HF"], "order_basis": "paper_text_order:807", "id": "assay:3"}, {"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": ["These datasets were analyzed using the limma package to identify DEGs between HF and normal control samples."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}