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pmid:33325525

Identification of novel biomarkers and candidate small molecule drugs in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis of high-throughput data.

Bin Zuo · JunFeng Zhu · Fei Xiao · ChengLong Wang · Yun Shen · XiaoDong Chen

Bioscience reports · 2020 doi:10.1042/BSR20193823

Paper

complete

Experiment

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Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:33325525
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science-record
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2026-11-01T15:41:19Z
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title
Identification of novel biomarkers and candidate small molecule drugs in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis of high-throughput data.
doi
10.1042/BSR20193823
pmid
33325525
authors array · 6 items
[0]
Bin Zuo
[1]
JunFeng Zhu
[2]
Fei Xiao
[3]
ChengLong Wang
[4]
Yun Shen
[5]
XiaoDong Chen
journal
Bioscience reports
year
2020
abstract
BACKGROUND: Rheumatoid arthritis (RA) and osteoarthritis (OA) are two major types of joint diseases. The present study aimed to identify hub genes involved in the pathogenesis and further explore the potential treatment targets of RA and OA. METHODS: The gene expression profile of GSE12021 was downloaded from Gene Expression Omnibus (GEO). Total 31 samples (12 RA, 10 OA and 9 NC samples) were used. The differentially expressed genes (DEGs) in RA versus NC, OA versus NC and RA versus OA groups were screened using limma package. We also verified the DEGs in GSE55235 and GSE100786. Functional annotation and protein-protein interaction (PPI) network construction of OA- and RA-specific DEGs were performed. Finally, the candidate small molecules as potential drugs to treat RA and OA were predicted in CMap database. RESULTS: 165 up-regulated and 163 down-regulated DEGs between RA and NC samples, 73 up-regulated and 293 down-regulated DEGs between OA and NC samples, 92 up-regulated and 98 down-regulated DEGs between RA and OA samples were identified. Immune response and TNF signaling pathway were significantly enriched pathways for RA- and OA-specific DEGs, respectively. The hub genes were mainly associated with 'Primary immunodeficiency' (RA vs. NC group), 'Ribosome' (OA vs. NC group), and 'Chemokine signaling pathway' (RA vs. OA group). Arecoline and Cefamandole were the most promising small molecule to reverse the RA and OA gene expression. CONCLUSION: Our findings suggest new insights into the underlying pathogenesis of RA and OA, which may improve the diagnosis and treatment of these intractable chronic diseases.
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We queried the Connectivity Map (CMap, http://www.broadinstitute.org/cmap/) to screen the candidate small molecule drugs based on the gene signature of RA and OA. CMap is a collection of databases that stores thousands of gene transcription-expression profiles from cultured mammalian cells exposed to active small molecule drugs. The DEGs were divided into up-regulated and down-regulated groups. The enrichment scores ranging from −1 to +1 were calculated, which represented the similarity.
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sections[9] "Identification of small molecules" paragraph 2
quote
We queried the Connectivity Map (CMap, http://www.broadinstitute.org/cmap/) to screen the candidate small molecule drugs based on the gene signature of RA and OA. CMap is a collection of databases that stores thousands of gene transcription-expression profiles from cultured mammalian cells exposed to active small molecule drugs. The DEGs were divided into up-regulated and down-regulated groups. The enrichment scores ranging from −1 to +1 were calculated, which represented the similarity.
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The dataset GSE12021 contained data of synovial tissues from 31 samples, including 9 normal control (NC), 12 RA, and 10 OA samples.
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sections[3] "Data resources" paragraph 2
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The dataset GSE12021 contained data of synovial tissues from 31 samples, including 9 normal control (NC), 12 RA, and 10 OA samples.
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Expression data of bone marrow and blood monocytes from patients with rheumatoid arthritis (RA) and osteoarthritis (OA)
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Identification of inter-individual and gene-specific variances in mRNA expression profiles in the RA SM
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Identification of rheumatoid arthritis and osteoarthritis patients by transcriptome-based rule set generation
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Identification and verification of DEGs
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-4.891082348
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4.9407E-10
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-3.811093118
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2.81802E-05
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-3.248282523
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-2.931670338
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3.23234E-05
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-2.919357158
[2]
1.41272E-06
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-2.874222918
[2]
6.40796E-05
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NELL1
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-2.856181172
[2]
5.3584E-05
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C7
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-2.816039336
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6.68233E-05
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SGCG
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-2.804064924
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0.000109325
locator
section[11]/table-wrap[3]#T3
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jats-table
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section[13]/table-wrap[1]#T4
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The top 15 hub genes with highest degree scores
structure object · 5 fields
pmcid
PMC7744737
section_index
13
section_title
PPI network analysis of DEGs
row_count
11
column_count
6
table object · 8 fields
label
Table 4
caption
The top 15 hub genes with highest degree scores
rows array · 11 items
[0] array · 6 items
[0]
RA versus NC
[1]
Degree
[2]
OA versus NC
[3]
Degree
[4]
RA versus OA
[5]
Degree
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[0]
CD19
[1]
28
[2]
JUN
[3]
15
[4]
PTPRC
[5]
27
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[0]
LCK
[1]
22
[2]
CTNNB1
[3]
15
[4]
ITGAX
[5]
24
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[0]
CD2
[1]
22
[2]
DICER1
[3]
8
[4]
CTLA4
[5]
23
[4] array · 6 items
[0]
CD27
[1]
22
[2]
SIL1
[3]
7
[4]
CCL5
[5]
21
[5] array · 6 items
[0]
CXCL10
[1]
19
[2]
TLR7
[3]
7
[4]
CXCL10
[5]
20
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[0]
CCL5
[1]
19
[2]
DHX9
[3]
7
[4]
STAT1
[5]
20
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[0]
CD79A
[1]
18
[2]
RPL27A
[3]
7
[4]
CXCR3
[5]
18
[8] array · 6 items
[0]
CD79B
[1]
18
[2]
SOCS3
[3]
6
[4]
APOE
[5]
17
[9] array · 6 items
[0]
CXCL9
[1]
17
[2]
RPL35A
[3]
6
[4]
CXCL9
[5]
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[10] array · 6 items
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IL2RG
[1]
17
[2]
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[3]
6
[4]
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[5]
15
locator
section[13]/table-wrap[1]#T4
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asset:table:pmid:33325525:5
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section[15]/table-wrap[1]#T5
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List of the 10 most significant small molecule drugs that can reverse the tumoral status of RA and OA
structure object · 5 fields
pmcid
PMC7744737
section_index
15
section_title
Identification of related active small molecules
row_count
21
column_count
4
table object · 8 fields
label
Table 5
caption
List of the 10 most significant small molecule drugs that can reverse the tumoral status of RA and OA
rows array · 21 items
[0] array · 4 items
[0]
Arthritic tissue
[1]
CMap name
[2]
enrichment
[3]
p value
[1] array · 4 items
[0]
RA versus NC
[1]
Cefamandole
[2]
-0.939
[3]
0
[2] array · 4 items
[0]
[1]
Arachidonyltrifluoromethane
[2]
-0.869
[3]
0.03438
[3] array · 4 items
[0]
[1]
Quipazine
[2]
-0.85
[3]
0.00095
[4] array · 4 items
[0]
[1]
Isometheptene
[2]
-0.847
[3]
0.00101
[5] array · 4 items
[0]
[1]
Nadolol
[2]
-0.825
[3]
0.00177
[6] array · 4 items
[0]
[1]
3-Acetamidocoumarin
[2]
-0.824
[3]
0.00185
[7] array · 4 items
[0]
[1]
Prestwick-1082
[2]
-0.815
[3]
0.0125
[8] array · 4 items
[0]
[1]
Aciclovir
[2]
-0.809
[3]
0.00014
[9] array · 4 items
[0]
[1]
Canadine
[2]
-0.809
[3]
0.00259
[10] array · 4 items
[0]
[1]
Gentamicin
[2]
-0.783
[3]
0.00444
[11] array · 4 items
[0]
OA versus NC
[1]
Arecoline
[2]
-0.889
[3]
0.00034
[12] array · 4 items
[0]
[1]
Sulmazole
[2]
-0.885
[3]
0.00298
[13] array · 4 items
[0]
[1]
Prestwick-983
[2]
-0.875
[3]
0.00393
[14] array · 4 items
[0]
[1]
Ciclopirox
[2]
-0.853
[3]
0.00084
[15] array · 4 items
[0]
[1]
Prestwick-691
[2]
-0.835
[3]
0.00891
[16] array · 4 items
[0]
[1]
Prestwick-692
[2]
-0.829
[3]
0.00163
[17] array · 4 items
[0]
[1]
SR-95639A
[2]
-0.823
[3]
0.00189
[18] array · 4 items
[0]
[1]
Lasalocid
[2]
-0.81
[3]
0.00257
[19] array · 4 items
[0]
[1]
Clemastine
[2]
-0.804
[3]
0.01498
[20] array · 4 items
[0]
[1]
Meclocycline
[2]
-0.793
[3]
0.00372
locator
section[15]/table-wrap[1]#T5
gaps array · 6 items
[0]
asset:data:geo:GSE100786 not downloaded
[1]
asset:data:geo:GSE100786 licence not read
[2]
asset:data:geo:GSE12021 not downloaded
[3]
asset:data:geo:GSE12021 licence not read
[4]
asset:data:geo:GSE55235 not downloaded
[5]
asset:data:geo:GSE55235 licence not read
analysis object · 4 fields
state
partial
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[0] object · 10 fields
id
method-1
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
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count_matrix_with_condition
evidence object · 3 fields
score
0.7
band
medium
quote
limma
[1] object · 10 fields
id
method-2
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
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[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
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edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
[2] object · 10 fields
id
method-3
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
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[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
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edge_list
evidence object · 3 fields
score
0.8
band
high
quote
pathway enrichment
[3] object · 10 fields
id
method-4
family
null
specific
null
label
Connectivity Map (CMap) enrichment score
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
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verbatim
quote
We queried the Connectivity Map (CMap, http://www.broadinstitute.org/cmap/) to screen the candidate small molecule drugs based on the gene signature of RA and OA. CMap is a collection of databases that stores thousands of gene transcription-expression profiles from cultured mammalian cells exposed to active small molecule drugs. The DEGs were divided into up-regulated and down-regulated groups. The enrichment scores ranging from −1 to +1 were calculated, which represented the similarity.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
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[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
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[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
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expressible
true
required_operations array · 3 items
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normalise_counts
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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: limma_voom.
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 · 3 items
[0]
GSE12021
[1]
GSE55235
[2]
GSE100786
resolved_accessions array · 3 items
[0]
GSE12021
[1]
GSE55235
[2]
GSE100786
statements array · 1 item
[0]
The dataset GSE12021 contained data of synovial tissues from 31 samples, including 9 normal control (NC), 12 RA, and 10 OA samples.
basis
The paper names GSE12021, GSE55235, GSE100786 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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[0]
normalise_counts
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differential_expression_fit
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fdr_bh
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[0]
source:pmid:33325525
[1]
data:geo:GSE100786
[2]
asset:table:pmid:33325525:1
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asset:table:pmid:33325525:2
[4]
asset:table:pmid:33325525:3
[5]
asset:table:pmid:33325525:4
[6]
asset:table:pmid:33325525:5
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run_analysis
must_build object · 5 fields
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converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE100786
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
2026-10-31T18:25:16Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
16857
completion_tokens
2425
cached_tokens
716
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[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
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minimax
gaps array · 3 items
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review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
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absent
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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:33325525
type
paper
label
pmid:33325525
[1] object · 3 fields
id
source:pmid:33325525
type
manuscript
label
PMID 33325525 full text
[2] object · 3 fields
id
data:geo:GSE100786
type
dataset
label
GEO GSE100786
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:33325525
type
paper
label
pmid:33325525
[1] object · 3 fields
id
source:pmid:33325525
type
manuscript
label
PMID 33325525 full text
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id
data:geo:GSE100786
type
dataset
label
GEO GSE100786
agent
agent:corpus-assay-engine
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id
activity-read-33325525
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extraction
used array · 1 item
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source:pmid:33325525
agent
agent:minimax-reader
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id
activity-resolve-GSE100786
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE100786
agent
agent:corpus-assay-engine
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id
agent:corpus-assay-engine
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software
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Corpus assay engine
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id
agent:minimax-reader
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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:33325525
parent_hash
sha256:f146073748b4c834c3f3c32fe20bdf433390053434cca11a2cecf4de834f33a3
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE100786 licence not read
[1]
asset:data:geo:GSE100786 not downloaded
[2]
asset:data:geo:GSE12021 licence not read
[3]
asset:data:geo:GSE12021 not downloaded
[4]
asset:data:geo:GSE55235 licence not read
[5]
asset:data:geo:GSE55235 not downloaded
[6]
execution.not_run
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method.reader_named_unmapped
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review.human_critique
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review.machine_critique
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role
analysis
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differential_expression
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f2132e96ae6c7a4e
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normalise_counts
[1]
differential_expression_fit
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fdr_bh
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supported
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dsl_catalogue
f2132e96ae6c7a4e
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limma
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33325525", "kind": "science-record", "revision": 8, "content_hash": "sha256:179dfd32105b89007e23d971d22ee789969a2ddb9b7a907bc28dd122ca9ea025", "created_at": "2026-11-01T15:41:19Z", "updated_at": "2026-11-01T22:02:44Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of novel biomarkers and candidate small molecule drugs in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis of high-throughput data.", "doi": "10.1042/BSR20193823", "pmid": "33325525", "authors": ["Bin Zuo", "JunFeng Zhu", "Fei Xiao", "ChengLong Wang", "Yun Shen", "XiaoDong Chen"], "journal": "Bioscience reports", "year": 2020, "abstract": "BACKGROUND: Rheumatoid arthritis (RA) and osteoarthritis (OA) are two major types of joint diseases. The present study aimed to identify hub genes involved in the pathogenesis and further explore the potential treatment targets of RA and OA.\nMETHODS: The gene expression profile of GSE12021 was downloaded from Gene Expression Omnibus (GEO). Total 31 samples (12 RA, 10 OA and 9 NC samples) were used. The differentially expressed genes (DEGs) in RA versus NC, OA versus NC and RA versus OA groups were screened using limma package. We also verified the DEGs in GSE55235 and GSE100786. Functional annotation and protein-protein interaction (PPI) network construction of OA- and RA-specific DEGs were performed. Finally, the candidate small molecules as potential drugs to treat RA and OA were predicted in CMap database.\nRESULTS: 165 up-regulated and 163 down-regulated DEGs between RA and NC samples, 73 up-regulated and 293 down-regulated DEGs between OA and NC samples, 92 up-regulated and 98 down-regulated DEGs between RA and OA samples were identified. Immune response and TNF signaling pathway were significantly enriched pathways for RA- and OA-specific DEGs, respectively. The hub genes were mainly associated with 'Primary immunodeficiency' (RA vs. NC group), 'Ribosome' (OA vs. NC group), and 'Chemokine signaling pathway' (RA vs. OA group). Arecoline and Cefamandole were the most promising small molecule to reverse the RA and OA gene expression.\nCONCLUSION: Our findings suggest new insights into the underlying pathogenesis of RA and OA, which may improve the diagnosis and treatment of these intractable chronic diseases.", "claims": [{"id": "claim-method", "statement": "We queried the Connectivity Map (CMap, http://www.broadinstitute.org/cmap/) to screen the candidate small molecule drugs based on the gene signature of RA and OA. CMap is a collection of databases that stores thousands of gene transcription-expression profiles from cultured mammalian cells exposed to active small molecule drugs. The DEGs were divided into up-regulated and down-regulated groups. The enrichment scores ranging from −1 to +1 were calculated, which represented the similarity.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33325525", "locator": "sections[9] \"Identification of small molecules\" paragraph 2", "quote": "We queried the Connectivity Map (CMap, http://www.broadinstitute.org/cmap/) to screen the candidate small molecule drugs based on the gene signature of RA and OA. CMap is a collection of databases that stores thousands of gene transcription-expression profiles from cultured mammalian cells exposed to active small molecule drugs. The DEGs were divided into up-regulated and down-regulated groups. The enrichment scores ranging from −1 to +1 were calculated, which represented the similarity."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The dataset GSE12021 contained data of synovial tissues from 31 samples, including 9 normal control (NC), 12 RA, and 10 OA samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33325525", "locator": "sections[3] \"Data resources\" paragraph 2", "quote": "The dataset GSE12021 contained data of synovial tissues from 31 samples, including 9 normal control (NC), 12 RA, and 10 OA samples."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:33325525"], "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:GSE100786"], "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:GSE100786"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33325525", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1042/BSR20193823", "sha256": 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