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pmid:31487691

TPM2 as a potential predictive biomarker for atherosclerosis.

Ling-Bing Meng · Meng-Jie Shan · Yong Qiu · Ruomei Qi · Ze-Mou Yu · Peng Guo · Chen-Yi Di · Tao Gong

Aging · 2019 doi:10.18632/aging.102231

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Experiment

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Data

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:31487691
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science-record
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2026-11-01T15:40:49Z
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2026-11-01T22:00:49Z
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paper object · 10 fields
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title
TPM2 as a potential predictive biomarker for atherosclerosis.
doi
10.18632/aging.102231
pmid
31487691
authors array · 8 items
[0]
Ling-Bing Meng
[1]
Meng-Jie Shan
[2]
Yong Qiu
[3]
Ruomei Qi
[4]
Ze-Mou Yu
[5]
Peng Guo
[6]
Chen-Yi Di
[7]
Tao Gong
journal
Aging
year
2019
abstract
Cardiac-cerebral vascular disease (CCVD), is primarily induced by atherosclerosis, and is a leading cause of mortality. Numerous studies have investigated and attempted to clarify the molecular mechanisms of atherosclerosis; however, its pathogenesis has yet to be completely elucidated. Two expression profiling datasets, GSE43292 and GSE57691, were obtained from the Gene Expression Omnibus (GEO) database. The present study then identified the differentially expressed genes (DEGs), and functional annotation of the DEGs was performed. Finally, an atherosclerosis animal model and neural network prediction model was constructed to verify the relationship between hub gene and atherosclerosis. The results identified a total of 234 DEGs between the normal and atherosclerosis samples. The DEGs were mainly enriched in actin filament, actin binding, smooth muscle cells, and cytokine-cytokine receptor interactions. A total of 13 genes were identified as hub genes. Following verification of animal model, the common DEG, Tropomyosin 2 (TPM2), was found, which were displayed at lower levels in the atherosclerosis models and samples. In summary, DEGs identified in the present study may assist clinicians in understanding the pathogenesis governing the occurrence and development of atherosclerosis, and TPM2 exhibits potential as a promising diagnostic and therapeutic biomarker for atherosclerosis.
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The Pearson-rho test was executed to compare the expression of hub genes and status of atherosclerosis for the correlation analysis.
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sections[33] "Statistical analysis" paragraph 2
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The Pearson-rho test was executed to compare the expression of hub genes and status of atherosclerosis for the correlation analysis.
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The GSE43292 dataset contained 32 non-atherosclerotic arterial tissues samples and 32 atherosclerotic arterial tissues samples.
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Functional annotation of DEGs by GO and KEGG analyses
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Functional enrichment analysis of DEGs in atherosclerosis using GSEA.
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The correlation and linear regression analysis between atherosclerosis and relevant gene expression.
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Association between TPM2 and atherosclerosis by Pearson correlation test and univariate linear regression
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The correlation and linear regression analysis between atherosclerosis and relevant gene expression.
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Correlative parameters’ effect on atherosclerosis based on univariate logistic proportional regression analysis.
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An independent risk factor for atherosclerosis based on univariate and multivariate logistic regression: TPM2
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Correlative parameters’ effect on atherosclerosis based on univariate logistic proportional regression analysis.
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[1] array · 3 items
[0]
OR
[1]
95% CI
[2]
P
[2] array · 6 items
[0]
TPM2
[1]
Low
[2]
29
[3]
1
[4]
[5]
<0.001*
[3] array · 5 items
[0]
[1]
High
[2]
35
[3]
0.090
[4]
0.028–0.293
[4] array · 6 items
[0]
MYH10
[1]
Low
[2]
26
[3]
1
[4]
[5]
0.001*
[5] array · 5 items
[0]
[1]
High
[2]
38
[3]
0.138
[4]
0.044–0.433
[6] array · 6 items
[0]
ACTC1
[1]
Low
[2]
35
[3]
1
[4]
[5]
<0.001*
[7] array · 5 items
[0]
[1]
High
[2]
29
[3]
0.127
[4]
0.041–0.391
[8] array · 6 items
[0]
IL1B
[1]
Low
[2]
29
[3]
1
[4]
[5]
0.026*
[9] array · 5 items
[0]
[1]
High
[2]
35
[3]
3.215
[4]
1.150–8.987
[10] array · 6 items
[0]
ITGAX
[1]
Low
[2]
27
[3]
1
[4]
[5]
<0.001*
[11] array · 5 items
[0]
[1]
High
[2]
37
[3]
8.273
[4]
2.622–26.100
[12] array · 6 items
[0]
SELL
[1]
Low
[2]
30
[3]
1
[4]
[5]
<0.001*
[13] array · 5 items
[0]
[1]
High
[2]
34
[3]
13.000
[4]
3.935–42.950
[14] array · 6 items
[0]
CCR2
[1]
Low
[2]
33
[3]
1
[4]
[5]
0.007*
[15] array · 5 items
[0]
[1]
High
[2]
31
[3]
4.200
[4]
1.478–11.936
[16] array · 6 items
[0]
LCP2
[1]
Low
[2]
24
[3]
1
[4]
[5]
0.001*
[17] array · 5 items
[0]
[1]
High
[2]
40
[3]
7.892
[4]
2.409–25.857
[18] array · 6 items
[0]
CXCL8
[1]
Low
[2]
33
[3]
1
[4]
[5]
0.026*
[19] array · 5 items
[0]
[1]
High
[2]
31
[3]
3.182
[4]
1.145–8.841
[20] array · 6 items
[0]
NLRP3
[1]
Low
[2]
29
[3]
1
[4]
[5]
<0.001
[21] array · 5 items
[0]
[1]
High
[2]
35
[3]
11.074
[4]
3.418–35.878
[22] array · 6 items
[0]
FLNC
[1]
Low
[2]
35
[3]
1
[4]
[5]
<0.001*
[23] array · 5 items
[0]
[1]
High
[2]
29
[3]
0.062
[4]
0.018–0.214
[24] array · 6 items
[0]
CXCL2
[1]
Low
[2]
34
[3]
1
[4]
[5]
0.048*
[25] array · 5 items
[0]
[1]
High
[2]
30
[3]
2.790
[4]
1.011–7.698
[26] array · 6 items
[0]
FPR2
[1]
Low
[2]
39
[3]
1
[4]
[5]
0.006*
[27] array · 5 items
[0]
[1]
High
[2]
25
[3]
4.592
[4]
1.542–13.671
locator
section[11]/table-wrap[1]#t4
[7] object · 16 fields
id
asset:table:pmid:31487691:5
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:8ecb3e948cdd30313d26a0fbae1415daf498ca362b3c6694cd0a7ea51c94bd6d
bytes
621
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[11]/table-wrap[2]#t5
version
null
note
Correlative genes’ effect on AS based on multiple logistic proportional regression analysis.
structure object · 5 fields
pmcid
PMC6756910
section_index
11
section_title
An independent risk factor for atherosclerosis based on univariate and multivariate logistic regression: TPM2
row_count
10
column_count
4
table object · 8 fields
label
Table 5
caption
Correlative genes’ effect on AS based on multiple logistic proportional regression analysis.
rows array · 10 items
[0] array · 4 items
[0]
Genes
[1]
[2]
AS
[3]
[1] array · 3 items
[0]
OR
[1]
95% CI
[2]
P
[2] array · 4 items
[0]
TPM2
[1]
0.140
[2]
0.020–0.988
[3]
0.049*
[3] array · 4 items
[0]
IL1B
[1]
1.105
[2]
0.181–6.730
[3]
0.914
[4] array · 4 items
[0]
CCR2
[1]
0.819
[2]
0.152–4.419
[3]
0.817
[5] array · 4 items
[0]
CXCL8
[1]
1.142
[2]
0.125–10.477
[3]
0.906
[6] array · 4 items
[0]
CXCL2
[1]
0.486
[2]
0.046–5.171
[3]
0.550
[7] array · 4 items
[0]
FPR2
[1]
2.658
[2]
0.467–15.111
[3]
0.270
[8] array · 4 items
[0]
NLRP3
[1]
6.032
[2]
0.880–41.363
[3]
0.067
[9] array · 4 items
[0]
MYH10
[1]
2.611
[2]
0.222–30.678
[3]
0.445
locator
section[11]/table-wrap[2]#t5
[8] object · 16 fields
id
asset:table:pmid:31487691:6
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:36bdc3aa3bafca043204e9a0a91e1de10e2bcb68b47a60a075418bee9a823849
bytes
381
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[30]/table-wrap[1]#t6
version
null
note
Primers and their sequences for PCR analysis.
structure object · 5 fields
pmcid
PMC6756910
section_index
30
section_title
RT-qPCR assay
row_count
5
column_count
2
table object · 8 fields
label
Table 6
caption
Primers and their sequences for PCR analysis.
rows array · 5 items
[0] array · 2 items
[0]
Primer
[1]
Sequence (5′–3′)
[1] array · 2 items
[0]
β-actin-hF
[1]
CGCAGAAACGAGACGAGATTG
[2] array · 2 items
[0]
β-actin-hR
[1]
GATGCTCGCTCCAACGACTG
[3] array · 2 items
[0]
TPM2-hF
[1]
TCCACCAAGGAGGACAAATACG
[4] array · 2 items
[0]
TPM2-hR
[1]
GTTGTTGAGTTCCAGCAGGGTC
locator
section[30]/table-wrap[1]#t6
gaps array · 4 items
[0]
asset:data:geo:GSE43292 not downloaded
[1]
asset:data:geo:GSE43292 licence not read
[2]
asset:data:geo:GSE57691 not downloaded
[3]
asset:data:geo:GSE57691 licence not read
analysis object · 4 fields
state
partial
methods array · 5 items
[0] object · 10 fields
id
method-1
family
regression_modelling
specific
ols
label
Regression modelling
dsl_operations array · 1 item
[0]
ols_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
0.8
band
high
quote
linear regression
[1] object · 10 fields
id
method-2
family
regression_modelling
specific
logistic
label
Regression modelling
dsl_operations array · 1 item
[0]
glm_logit_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
0.8
band
high
quote
logistic regression
[2] object · 10 fields
id
method-3
family
clustering
specific
hierarchical
label
Clustering
dsl_operations array · 1 item
[0]
hierarchical_cluster
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
feature_matrix
evidence object · 3 fields
score
0.8
band
high
quote
Hierarchical clustering
[3] object · 10 fields
id
method-4
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
0.8
band
high
quote
protein-protein interaction
[4] object · 10 fields
id
method-5
family
null
specific
null
label
Pearson-rho test
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
The Pearson-rho test was executed to compare the expression of hub genes and status of atherosclerosis for the correlation 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 · 1 item
[0]
ols_fit
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: ols.
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 · 2 items
[0]
GSE43292
[1]
GSE57691
resolved_accessions array · 2 items
[0]
GSE43292
[1]
GSE57691
statements array · 1 item
[0]
The GSE43292 dataset contained 32 non-atherosclerotic arterial tissues samples and 32 atherosclerotic arterial tissues samples.
basis
The paper names GSE43292, GSE57691 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 · 1 item
[0]
ols_fit
assets array · 8 items
[0]
source:pmid:31487691
[1]
data:geo:GSE43292
[2]
asset:table:pmid:31487691:1
[3]
asset:table:pmid:31487691:2
[4]
asset:table:pmid:31487691:3
[5]
asset:table:pmid:31487691:4
[6]
asset:table:pmid:31487691:5
[7]
asset:table:pmid:31487691:6
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:GSE43292
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
2026-10-31T18:16:09Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
49177
completion_tokens
1399
cached_tokens
768
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:31487691
type
paper
label
pmid:31487691
[1] object · 3 fields
id
source:pmid:31487691
type
manuscript
label
PMID 31487691 full text
[2] object · 3 fields
id
data:geo:GSE43292
type
dataset
label
GEO GSE43292
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:31487691
type
paper
label
pmid:31487691
[1] object · 3 fields
id
source:pmid:31487691
type
manuscript
label
PMID 31487691 full text
[2] object · 3 fields
id
data:geo:GSE43292
type
dataset
label
GEO GSE43292
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-31487691
type
extraction
used array · 1 item
[0]
source:pmid:31487691
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE43292
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE43292
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:31487691
parent_hash
sha256:cd3940fc8b596c5f3dfbcf59d1d7d683796eca826d1c7560ff257f2361a3d5bd
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE43292 licence not read
[1]
asset:data:geo:GSE43292 not downloaded
[2]
asset:data:geo:GSE57691 licence not read
[3]
asset:data:geo:GSE57691 not downloaded
[4]
execution.not_run
[5]
method.reader_named_unmapped
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
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[0] object · 11 fields
role
analysis
definition_id
regression_modelling
definition_version
f2132e96ae6c7a4e
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ols_fit
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
linear regression
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:31487691", "kind": "science-record", "revision": 8, "content_hash": "sha256:bedca05353b2a38d640c4682cc4854a96254cce004e7b700dcb54407ccbcda70", "created_at": "2026-11-01T15:40:49Z", "updated_at": "2026-11-01T22:00:49Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "TPM2 as a potential predictive biomarker for atherosclerosis.", "doi": "10.18632/aging.102231", "pmid": "31487691", "authors": ["Ling-Bing Meng", "Meng-Jie Shan", "Yong Qiu", "Ruomei Qi", "Ze-Mou Yu", "Peng Guo", "Chen-Yi Di", "Tao Gong"], "journal": "Aging", "year": 2019, "abstract": "Cardiac-cerebral vascular disease (CCVD), is primarily induced by atherosclerosis, and is a leading cause of mortality. Numerous studies have investigated and attempted to clarify the molecular mechanisms of atherosclerosis; however, its pathogenesis has yet to be completely elucidated. Two expression profiling datasets, GSE43292 and GSE57691, were obtained from the Gene Expression Omnibus (GEO) database. The present study then identified the differentially expressed genes (DEGs), and functional annotation of the DEGs was performed. Finally, an atherosclerosis animal model and neural network prediction model was constructed to verify the relationship between hub gene and atherosclerosis. The results identified a total of 234 DEGs between the normal and atherosclerosis samples. The DEGs were mainly enriched in actin filament, actin binding, smooth muscle cells, and cytokine-cytokine receptor interactions. A total of 13 genes were identified as hub genes. Following verification of animal model, the common DEG, Tropomyosin 2 (TPM2), was found, which were displayed at lower levels in the atherosclerosis models and samples. In summary, DEGs identified in the present study may assist clinicians in understanding the pathogenesis governing the occurrence and development of atherosclerosis, and TPM2 exhibits potential as a promising diagnostic and therapeutic biomarker for atherosclerosis.", "claims": [{"id": "claim-method", "statement": "The Pearson-rho test was executed to compare the expression of hub genes and status of atherosclerosis for the correlation analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31487691", "locator": "sections[33] \"Statistical analysis\" paragraph 2", "quote": "The Pearson-rho test was executed to compare the expression of hub genes and status of atherosclerosis for the correlation analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The GSE43292 dataset contained 32 non-atherosclerotic arterial tissues samples and 32 atherosclerotic arterial tissues samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31487691", "locator": "sections[20] \"Access to public data\" paragraph 2", "quote": "The GSE43292 dataset contained 32 non-atherosclerotic arterial tissues samples and 32 atherosclerotic arterial tissues 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:31487691"], "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:GSE43292"], "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:GSE43292"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31487691", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.18632/aging.102231", "sha256": "sha256:803e66a1c33ec33ec6ba71f237a738ff82b0ec849c505c7940b856252dcd9a79", "bytes": 66937, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.18632/aging.102231", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6756910", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE43292", "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=GSE43292", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE43292", "version": null, "note": "The GSE43292 dataset contained 32 non-atherosclerotic arterial tissues samples and 32 atherosclerotic arterial tissues samples.", 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