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pmid:37909603

Bioinformatics and Systems Biology Approach to Identify the Pathogenetic Link between Heart Failure and Sarcopenia.

Rui Xu · Ling-Ling Ma · Shuai Cui · Ling Chen · Hong Xu

Arquivos brasileiros de cardiologia · 2023 doi:10.36660/abc.20220874

Paper

complete

Experiment

complete

Data

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Analysis

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absent

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Bioinformatics and Systems Biology Approach to Identify the Pathogenetic Link between Heart Failure and Sarcopenia.
doi
10.36660/abc.20220874
pmid
37909603
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Rui Xu
[1]
Ling-Ling Ma
[2]
Shuai Cui
[3]
Ling Chen
[4]
Hong Xu
journal
Arquivos brasileiros de cardiologia
year
2023
abstract
Despite increasing evidence that patients with heart failure (HF) are susceptible to sarcopenia, the reason for the association is not well understood. The purpose of this study is to explore further the molecular mechanism of the occurrence of this complication. Gene expression datasets for HF (GSE57345) and Sarcopenia (GSE1428) were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using 'edgeR' and "limma" packages of R, and their functions were analyzed using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Protein-protein interaction (PPI) networks were constructed and visualized using Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape. Hub genes were selected using the plugin cytoHubba and validation with GSE76701 for HF and GSE136344 for Sarcopenia. The related pathways and molecular mechanisms of the hub genes were performed by Gene set enrichment analysis (GSEA). The statistical analyses were performed using R software. P < 0.05 was considered statistically significant. A total of 114 common DEGs were found. Pathways related to growth factor, Insulin secretion and cGMP-PKG were enriched in both HF and Sarcopenia. CYP27A1, KCNJ8, PIK3R5, TIMP2, CXCL12, KIT, and VCAM1 were found to be significant hub genes after validation, with GSEA emphasizing the importance of the hub genes in the regulation of the inflammatory response. Our study reveals that HF and Sarcopenia share common pathways and pathogenic mechanisms. These findings may suggest new directions for future research into the underlying pathogenesis.
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[0]
asset:data:geo:GSE136344 not downloaded
[1]
asset:data:geo:GSE136344 licence not read
[2]
asset:data:geo:GSE1428 not downloaded
[3]
asset:data:geo:GSE1428 licence not read
[4]
asset:data:geo:GSE57345 not downloaded
[5]
asset:data:geo:GSE57345 licence not read
[6]
asset:data:geo:GSE76701 not downloaded
[7]
asset:data:geo:GSE76701 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
family
differential_expression
specific
edger
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.7
band
medium
quote
edgeR
[1] object · 10 fields
id
method-2
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.7
band
medium
quote
limma
[2] object · 10 fields
id
method-3
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
Protein-protein interaction
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: edger.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 4 items
[0]
GSE57345
[1]
GSE1428
[2]
GSE76701
[3]
GSE136344
resolved_accessions array · 4 items
[0]
GSE57345
[1]
GSE1428
[2]
GSE76701
[3]
GSE136344
statements array · 1 item
[0]
O conjunto de dados GSE57345 incluiu dados de sequenciamento de RNA de 177 pacientes com IC e 136 controles saudáveis da Filadélfia
basis
The paper names GSE57345, GSE1428, GSE76701, GSE136344 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 2 items
[0]
source:pmid:37909603
[1]
data:geo:GSE136344
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE136344
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T18:57:56Z
independence
single_reader
evidence_check object · 2 fields
method
null
availability
null
calls
5
usage object · 3 fields
prompt_tokens
9720
completion_tokens
1394
cached_tokens
128
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:37909603
type
paper
label
pmid:37909603
[1] object · 3 fields
id
source:pmid:37909603
type
manuscript
label
PMID 37909603 full text
[2] object · 3 fields
id
data:geo:GSE136344
type
dataset
label
GEO GSE136344
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:37909603
type
paper
label
pmid:37909603
[1] object · 3 fields
id
source:pmid:37909603
type
manuscript
label
PMID 37909603 full text
[2] object · 3 fields
id
data:geo:GSE136344
type
dataset
label
GEO GSE136344
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-37909603
type
extraction
used array · 1 item
[0]
source:pmid:37909603
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE136344
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE136344
agent
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:37909603
parent_hash
sha256:35da3f85de964bd3592c7f1daed0026a7b503a6700b88e6fe56b05e2cb871980
fork_of
null
gaps array · 12 items
[0]
asset:data:geo:GSE136344 licence not read
[1]
asset:data:geo:GSE136344 not downloaded
[2]
asset:data:geo:GSE1428 licence not read
[3]
asset:data:geo:GSE1428 not downloaded
[4]
asset:data:geo:GSE57345 licence not read
[5]
asset:data:geo:GSE57345 not downloaded
[6]
asset:data:geo:GSE76701 licence not read
[7]
asset:data:geo:GSE76701 not downloaded
[8]
execution.not_run
[9]
review.human_critique
[10]
review.independent_reader
[11]
review.machine_critique
assays array · 1 item
[0] 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]
edgeR
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:37909603", "kind": "science-record", "revision": 4, "content_hash": "sha256:a300d7783a5af2f13a7465fbd7e9a0098740fb562d41020dfdf62bc54750cf13", "created_at": "2026-11-01T19:02:47Z", "updated_at": "2026-11-01T22:10:34Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics and Systems Biology Approach to Identify the Pathogenetic Link between Heart Failure and Sarcopenia.", "doi": "10.36660/abc.20220874", "pmid": "37909603", "authors": ["Rui Xu", "Ling-Ling Ma", "Shuai Cui", "Ling Chen", "Hong Xu"], "journal": "Arquivos brasileiros de cardiologia", "year": 2023, "abstract": "Despite increasing evidence that patients with heart failure (HF) are susceptible to sarcopenia, the reason for the association is not well understood. The purpose of this study is to explore further the molecular mechanism of the occurrence of this complication. Gene expression datasets for HF (GSE57345) and Sarcopenia (GSE1428) were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using 'edgeR' and \"limma\" packages of R, and their functions were analyzed using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Protein-protein interaction (PPI) networks were constructed and visualized using Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape. Hub genes were selected using the plugin cytoHubba and validation with GSE76701 for HF and GSE136344 for Sarcopenia. The related pathways and molecular mechanisms of the hub genes were performed by Gene set enrichment analysis (GSEA). The statistical analyses were performed using R software. P < 0.05 was considered statistically significant. A total of 114 common DEGs were found. Pathways related to growth factor, Insulin secretion and cGMP-PKG were enriched in both HF and Sarcopenia. CYP27A1, KCNJ8, PIK3R5, TIMP2, CXCL12, KIT, and VCAM1 were found to be significant hub genes after validation, with GSEA emphasizing the importance of the hub genes in the regulation of the inflammatory response. Our study reveals that HF and Sarcopenia share common pathways and pathogenic mechanisms. These findings may suggest new directions for future research into the underlying pathogenesis.", "claims": [{"id": "claim-data-access", "statement": "O conjunto de dados GSE57345 incluiu dados de sequenciamento de RNA de 177 pacientes com IC e 136 controles saudáveis da Filadélfia", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37909603", "locator": "sections[3] \"Desenho do estudo e coleta de dados\" paragraph 2", "quote": "O conjunto de dados GSE57345 incluiu dados de sequenciamento de RNA de 177 pacientes com IC e 136 controles saudáveis da Filadélfia"}], "state": "complete"}, {"id": "claim-target-result", "statement": "Foram identificados 114 genes diferencialmente expressos comuns à insuficiência cardíaca e à sarcopenia.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37909603", "locator": "sections[0] \"Abstract\" paragraph 5", "quote": "Foram encontrados 114 DEGs comuns."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Foram identificados 114 genes diferencialmente expressos comuns à insuficiência cardíaca e à sarcopenia.", "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:37909603"], "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:GSE136344"], "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:GSE136344"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37909603", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.36660/abc.20220874", "sha256": 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