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pmid:37842511

Identifying Crucial Biomarkers in Osteoporosis and Ulcerative Colitis Through Bioinformatics Analysis of Co-expressed Genes.

Zhengyan Wang · Xukai Wang · Jing Yan · Ying Wang · Xingxing Yu · Yanpeng Wang

Cureus · 2023 doi:10.7759/cureus.45063

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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title
Identifying Crucial Biomarkers in Osteoporosis and Ulcerative Colitis Through Bioinformatics Analysis of Co-expressed Genes.
doi
10.7759/cureus.45063
pmid
37842511
authors array · 6 items
[0]
Zhengyan Wang
[1]
Xukai Wang
[2]
Jing Yan
[3]
Ying Wang
[4]
Xingxing Yu
[5]
Yanpeng Wang
journal
Cureus
year
2023
abstract
Osteoporosis (OP) and ulcerative colitis (UC), prevalent immune diseases, exert a substantial socioeconomic impact globally. This study identifies biomarkers for these diseases, paving the way for in-depth research. Initially, the Gene Expression Omnibus (GEO) database was employed to analyze datasets GSE35958 and GSE87466. This analysis aimed to pinpoint co-expression differential genes (DEGs) between OP and UC. Subsequently, the Metascape database facilitated the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of these DEGs' co-expression. For network construction and visualization, the STRING11.5 database along with Cytoscape 3.7.2 (Cytoscape Team, USA) were utilized to create a protein-protein interaction (PPI) network. Moreover, Cytoscape's cytoHubba plugin was instrumental in identifying the central genes, known as hub genes. In the datasets GSE35958 and GSE87466, 156 co-expressed DEGs were discovered. The PPI network, constructed using STRING11.5 and Cytoscape 3.7.2, comprises 96 nodes and 222 connections. Notably, seven hub genes were identified, namely COL6A1, COL6A2, BGN, NID1, PLAU, TGFB1, and PLAUR. These DEGs were predominantly enriched in pathways such as extracellular matrix organization and collagen-containing extracellular matrix, as per GO analysis. For diagnostic model construction and hub gene validation, datasets GSE56815 and GSE107499 from the GEO database were employed. The top five hub genes were validated. In conclusion, the hub genes identified in this study played a significant role in the early diagnosis, prevention, and treatment of OP and UC. Furthermore, they provide fresh insights into the underlying mechanisms of these diseases' development and progression.
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We used the GSEA database and the Metascape database for GSE35958 and GSE87466 for GSEA enrichment analysis and GO enrichment analysis.
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We used the GSEA database and the Metascape database for GSE35958 and GSE87466 for GSEA enrichment analysis and GO enrichment analysis.
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We downloaded four datasets from GEO, namely GSE35958, GSE87466, GSE56815, and GSE107499 (Table 1).
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We downloaded four datasets from GEO, namely GSE35958, GSE87466, GSE56815, and GSE107499 (Table 1).
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Notably, seven hub genes were identified, namely COL6A1, COL6A2, BGN, NID1, PLAU, TGFB1, and PLAUR.
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Notably, seven hub genes were identified, namely COL6A1, COL6A2, BGN, NID1, PLAU, TGFB1, and PLAUR.
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Notably, seven hub genes were identified, namely COL6A1, COL6A2, BGN, NID1, PLAU, TGFB1, and PLAUR.
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build_graph
[1]
centrality_scores
[2]
pathway_enrich
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data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
centrality
[3] object · 10 fields
id
method-4
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
band
high
quote
ROC curve
[4] object · 10 fields
id
method-5
family
null
specific
null
label
Gene Set Enrichment Analysis (GSEA)
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
We used the GSEA database and the Metascape database for GSE35958 and GSE87466 for GSEA enrichment analysis and GO enrichment analysis.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
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
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build_graph
[1]
centrality_scores
[2]
pathway_enrich
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: ppi_network.
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]
GSE35958
[1]
GSE87466
[2]
GSE56815
[3]
GSE107499
resolved_accessions array · 4 items
[0]
GSE35958
[1]
GSE87466
[2]
GSE56815
[3]
GSE107499
statements array · 1 item
[0]
We downloaded four datasets from GEO, namely GSE35958, GSE87466, GSE56815, and GSE107499 (Table 1).
basis
The paper names GSE35958, GSE87466, GSE56815, GSE107499 in Gene Expression Omnibus (GEO) database 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]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
assets array · 2 items
[0]
source:pmid:37842511
[1]
data:geo:GSE107499
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:GSE107499
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
2026-11-01T18:56:13Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
5
usage object · 3 fields
prompt_tokens
7502
completion_tokens
1432
cached_tokens
0
stages array · 1 item
[0] object · 4 fields
id
extraction
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complete
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MiniMax-M3.1-Flash
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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
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null
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:37842511
type
paper
label
pmid:37842511
[1] object · 3 fields
id
source:pmid:37842511
type
manuscript
label
PMID 37842511 full text
[2] object · 3 fields
id
data:geo:GSE107499
type
dataset
label
GEO GSE107499
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:37842511
type
paper
label
pmid:37842511
[1] object · 3 fields
id
source:pmid:37842511
type
manuscript
label
PMID 37842511 full text
[2] object · 3 fields
id
data:geo:GSE107499
type
dataset
label
GEO GSE107499
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-37842511
type
extraction
used array · 1 item
[0]
source:pmid:37842511
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE107499
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE107499
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:37842511
parent_hash
sha256:d86a4d236148888dd7a17b5b38ba3e42c7ff1f0be683e48a5d19eeb525ae8bd5
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE107499 licence not read
[1]
asset:data:geo:GSE107499 not downloaded
[2]
asset:data:geo:GSE35958 licence not read
[3]
asset:data:geo:GSE35958 not downloaded
[4]
asset:data:geo:GSE56815 licence not read
[5]
asset:data:geo:GSE56815 not downloaded
[6]
asset:data:geo:GSE87466 licence not read
[7]
asset:data:geo:GSE87466 not downloaded
[8]
execution.not_run
[9]
method.reader_named_unmapped
[10]
review.human_critique
[11]
review.independent_reader
[12]
review.machine_critique
assays array · 2 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 · 4 items
[0]
le 1). The GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array) serves as
[1]
The GPL13158 platform ([HT_HG-U133_Plus_PM] Affymetrix HT HG-U133+ PM Array Plate) serves as the fo
[2]
for GSE87466. The GPL96 platform ([HG-U133A] Affymetrix Human Genome U133A Array) serves as the foun
[3]
SE56815. The GPL15207 platform, ([PrimeView] Affymetrix Human Gene Expression Array), is the foundat
order_basis
paper_text_order:3231
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assay:1
[1] object · 11 fields
role
analysis
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f2132e96ae6c7a4e
required_operations array · 3 items
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[1]
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pathway_enrich
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supported
source_hashes object · 1 field
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f2132e96ae6c7a4e
evidence array · 1 item
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protein-protein interaction
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37842511", "kind": "science-record", "revision": 3, "content_hash": "sha256:fa6c99c3ce19265e22b96bbc6e30bca84d059850cfb4557e9a84b1915eb0d9a1", "created_at": "2026-11-01T19:02:42Z", "updated_at": "2026-11-01T22:10:28Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identifying Crucial Biomarkers in Osteoporosis and Ulcerative Colitis Through Bioinformatics Analysis of Co-expressed Genes.", "doi": "10.7759/cureus.45063", "pmid": "37842511", "authors": ["Zhengyan Wang", "Xukai Wang", "Jing Yan", "Ying Wang", "Xingxing Yu", "Yanpeng Wang"], "journal": "Cureus", "year": 2023, "abstract": "Osteoporosis (OP) and ulcerative colitis (UC), prevalent immune diseases, exert a substantial socioeconomic impact globally. This study identifies biomarkers for these diseases, paving the way for in-depth research. Initially, the Gene Expression Omnibus (GEO) database was employed to analyze datasets GSE35958 and GSE87466. This analysis aimed to pinpoint co-expression differential genes (DEGs) between OP and UC. Subsequently, the Metascape database facilitated the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of these DEGs' co-expression. For network construction and visualization, the STRING11.5 database along with Cytoscape 3.7.2 (Cytoscape Team, USA) were utilized to create a protein-protein interaction (PPI) network. Moreover, Cytoscape's cytoHubba plugin was instrumental in identifying the central genes, known as hub genes. In the datasets GSE35958 and GSE87466, 156 co-expressed DEGs were discovered. The PPI network, constructed using STRING11.5 and Cytoscape 3.7.2, comprises 96 nodes and 222 connections. Notably, seven hub genes were identified, namely COL6A1, COL6A2, BGN, NID1, PLAU, TGFB1, and PLAUR. These DEGs were predominantly enriched in pathways such as extracellular matrix organization and collagen-containing extracellular matrix, as per GO analysis. For diagnostic model construction and hub gene validation, datasets GSE56815 and GSE107499 from the GEO database were employed. The top five hub genes were validated. In conclusion, the hub genes identified in this study played a significant role in the early diagnosis, prevention, and treatment of OP and UC. Furthermore, they provide fresh insights into the underlying mechanisms of these diseases' development and progression.", "claims": [{"id": "claim-method", "statement": "We used the GSEA database and the Metascape database for GSE35958 and GSE87466 for GSEA enrichment analysis and GO enrichment analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37842511", "locator": "sections[2] \"Materials and methods\" paragraph 9", "quote": "We used the GSEA database and the Metascape database for GSE35958 and GSE87466 for GSEA enrichment analysis and GO enrichment analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "We downloaded four datasets from GEO, namely GSE35958, GSE87466, GSE56815, and GSE107499 (Table 1).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37842511", "locator": "sections[2] \"Materials and methods\" paragraph 6", "quote": "We downloaded four datasets from GEO, namely GSE35958, GSE87466, GSE56815, and GSE107499 (Table 1)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Notably, seven hub genes were identified, namely COL6A1, COL6A2, BGN, NID1, PLAU, TGFB1, and PLAUR.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37842511", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Notably, seven hub genes were identified, namely COL6A1, COL6A2, BGN, NID1, PLAU, TGFB1, and PLAUR."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Notably, seven hub genes were identified, namely COL6A1, COL6A2, BGN, NID1, PLAU, TGFB1, and PLAUR.", "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:37842511"], "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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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE35958", "GSE87466", "GSE56815", "GSE107499"], "resolved_accessions": ["GSE35958", "GSE87466", "GSE56815", "GSE107499"], "statements": ["We downloaded four datasets from GEO, namely GSE35958, GSE87466, GSE56815, and GSE107499 (Table 1)."], "basis": "The paper names GSE35958, GSE87466, GSE56815, GSE107499 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "assets": ["source:pmid:37842511", "data:geo:GSE107499"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE107499"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:56:13Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 5, "usage": {"prompt_tokens": 7502, "completion_tokens": 1432, "cached_tokens": 0}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:37842511", "type": "paper", "label": "pmid:37842511"}, {"id": "source:pmid:37842511", "type": "manuscript", "label": "PMID 37842511 full text"}, {"id": "data:geo:GSE107499", "type": "dataset", "label": "GEO GSE107499"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:37842511", "type": "paper", "label": "pmid:37842511"}, {"id": "source:pmid:37842511", "type": "manuscript", "label": "PMID 37842511 full text"}, {"id": "data:geo:GSE107499", "type": "dataset", "label": "GEO GSE107499"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-37842511", "type": "extraction", "used": ["source:pmid:37842511"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE107499", "type": "accession_resolution", "used": ["data:geo:GSE107499"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"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": {"parent_id": "pmid:37842511", "parent_hash": "sha256:d86a4d236148888dd7a17b5b38ba3e42c7ff1f0be683e48a5d19eeb525ae8bd5", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE107499 licence not read", "asset:data:geo:GSE107499 not downloaded", "asset:data:geo:GSE35958 licence not read", "asset:data:geo:GSE35958 not downloaded", "asset:data:geo:GSE56815 licence not read", "asset:data:geo:GSE56815 not downloaded", "asset:data:geo:GSE87466 licence not read", "asset:data:geo:GSE87466 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["le 1). The GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array) serves as", "The GPL13158 platform ([HT_HG-U133_Plus_PM] Affymetrix HT HG-U133+ PM Array Plate) serves as the fo", "for GSE87466. The GPL96 platform ([HG-U133A] Affymetrix Human Genome U133A Array) serves as the foun", "SE56815. The GPL15207 platform, ([PrimeView] Affymetrix Human Gene Expression Array), is the foundat"], "order_basis": "paper_text_order:3231", "id": "assay:1"}, {"role": "analysis", "definition_id": "network_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["protein-protein interaction"], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}