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pmid:37907428

Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease.

Peipei Chen · Lubin Xie · Leikai Ma · Xianda Zhao · Yong Chen · Zhouling Ge

IET systems biology · 2023 doi:10.1049/syb2.12081

Paper

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Experiment

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Data

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Analysis

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title
Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease.
doi
10.1049/syb2.12081
pmid
37907428
authors array · 6 items
[0]
Peipei Chen
[1]
Lubin Xie
[2]
Leikai Ma
[3]
Xianda Zhao
[4]
Yong Chen
[5]
Zhouling Ge
journal
IET systems biology
year
2023
abstract
With increasing research on idiopathic pulmonary fibrosis (IPF) and gastroesophageal reflux disease (GERD), more and more studies have indicated that GERD is associated with IPF, but the underlying pathological mechanisms remain unclear. The aim of the present study is to identify and analyse the differentially expressed genes (DEGs) between IPF and GERD and explore the relevant molecular mechanisms via bioinformatics analysis. Four GEO datasets (GSE24206, GSE53845, GSE26886, and GSE39491) were downloaded from the GEO database, and DEGs between IPF and GERD were identified with the online tool GEO2R. Subsequently, a series of bioinformatics analyses are conducted, including Kyoto Encyclopaedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses, the PPI network, biological characteristics, TF-gene interactions, TF-miRNA coregulatory networks, and the prediction of drug molecules. Totally, 71 genes were identified as DEGs in IPF and GERD. Five KEGG pathways, including Amoebiasis, Protein digestion and absorption, Relaxin signalling pathway, AGE-RAGE signalling pathway in diabetic complications, and Drug metabolism - cytochrome P450, were significantly enriched. In addition, eight hub genes, including POSTN, MMP1, COL3A1, COL1A2, CXCL12, TIMP3, VCAM1, and COL1A1 were selected from the PPI network by Cytoscape software. Then, five hub genes (MMP1, POSTN, COL3A1, COL1A2, and COL1A1) with high diagnostic values for IPF and GERD were validated by GEO datasets. Finally, TF-gene and miRNA interaction was identified with hub genes and predicted drug molecules for the IPF and GERD. And the results suggest that cetirizine, luteolin, and pempidine may have great potential therapeutic value in IPF and GERD. This study will provide novel strategies for the identification of potential biomarkers and valuable therapeutic targets for IPF and GERD.
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The Differentially expressed genes (DEGs) in each GEO data set were screened using the GEO online tool GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/), which is an R‐based web application using limma package. p values were used to reduce the false‐positive rate using Benjamini & Hochberg method.
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sections[4] "Differentially expressed genes selection" paragraph 2
quote
The Differentially expressed genes (DEGs) in each GEO data set were screened using the GEO online tool GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/), which is an R‐based web application using limma package. p values were used to reduce the false‐positive rate using Benjamini & Hochberg method.
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sections[28] "DATA AVAILABILITY STATEMENT" paragraph 2
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The data that support the findings of this study are openly available in the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/).
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And the results suggest that cetirizine, luteolin, and pempidine may have great potential therapeutic value in IPF and GERD.
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And the results suggest that cetirizine, luteolin, and pempidine may have great potential therapeutic value in IPF and GERD.
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And the results suggest that cetirizine, luteolin, and pempidine may have great potential therapeutic value in IPF and GERD.
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GSM970165
[117]
GSM970171
[118]
GSM970172
[119]
GSM970173
sample_count
120
group_sizes
null
group_sizes_basis
null
platform
571
taxon
Homo sapiens
title
GLOBAL CHANGES IN GENE EXPRESSION OF BARRETT'S ESOPHAGUS COMPARED TO NORMAL SQUAMOUS ESOPHAGUS AND GASTRIC CARDIA TISSUES
resolution_checked_at
2026-11-01T19:09:46Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] object · 15 fields
id
data:geo:GSE53845
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=GSE53845
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE53845
version
null
note
The data that support the findings of this study are openly available in the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data that support the findings of this study are openly available in the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/).
access_statement_kind
data_availability_statement
sample_accessions array · 48 items
[0]
GSM1302033
[1]
GSM1302034
[2]
GSM1302035
[3]
GSM1302036
[4]
GSM1302037
[5]
GSM1302038
[6]
GSM1302039
[7]
GSM1302040
[8]
GSM1302041
[9]
GSM1302042
[10]
GSM1302043
[11]
GSM1302044
[12]
GSM1302045
[13]
GSM1302046
[14]
GSM1302047
[15]
GSM1302048
[16]
GSM1302049
[17]
GSM1302050
[18]
GSM1302051
[19]
GSM1302052
[20]
GSM1302053
[21]
GSM1302054
[22]
GSM1302055
[23]
GSM1302056
[24]
GSM1302057
[25]
GSM1302058
[26]
GSM1302059
[27]
GSM1302060
[28]
GSM1302061
[29]
GSM1302062
[30]
GSM1302063
[31]
GSM1302064
[32]
GSM1302065
[33]
GSM1302066
[34]
GSM1302067
[35]
GSM1302068
[36]
GSM1302069
[37]
GSM1302070
[38]
GSM1302071
[39]
GSM1302072
[40]
GSM1302073
[41]
GSM1302074
[42]
GSM1302075
[43]
GSM1302076
[44]
GSM1302077
[45]
GSM1302078
[46]
GSM1302079
[47]
GSM1302080
sample_count
48
group_sizes
null
group_sizes_basis
null
platform
6480
taxon
Homo sapiens
title
40 IPF patients and 8 healthy controls
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 14 items
[0]
asset:data:geo:GSE10667 not downloaded
[1]
asset:data:geo:GSE10667 licence not read
[2]
asset:data:geo:GSE13083 not downloaded
[3]
asset:data:geo:GSE13083 licence not read
[4]
asset:data:geo:GSE1420 not downloaded
[5]
asset:data:geo:GSE1420 licence not read
[6]
asset:data:geo:GSE24206 not downloaded
[7]
asset:data:geo:GSE24206 licence not read
[8]
asset:data:geo:GSE26886 not downloaded
[9]
asset:data:geo:GSE26886 licence not read
[10]
asset:data:geo:GSE39491 not downloaded
[11]
asset:data:geo:GSE39491 licence not read
[12]
asset:data:geo:GSE53845 not downloaded
[13]
asset:data:geo:GSE53845 licence not read
analysis object · 4 fields
state
complete
methods array · 4 items
[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
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
1
band
verbatim
quote
The Differentially expressed genes (DEGs) in each GEO data set were screened using the GEO online tool GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/), which is an R‐based web application using limma package. p values were used to reduce the false‐positive rate using Benjamini & Hochberg method.
[1] object · 10 fields
id
method-2
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
PPI
[2] object · 10 fields
id
method-3
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
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
pathway enrichment
[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
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: 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 · 7 items
[0]
GSE53845
[1]
GSE24206
[2]
GSE26886
[3]
GSE39491
[4]
GSE10667
[5]
GSE13083
[6]
GSE1420
resolved_accessions array · 7 items
[0]
GSE53845
[1]
GSE24206
[2]
GSE26886
[3]
GSE39491
[4]
GSE10667
[5]
GSE13083
[6]
GSE1420
statements array · 1 item
[0]
The data that support the findings of this study are openly available in the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/).
basis
The paper names GSE53845, GSE24206, GSE26886, GSE39491, GSE10667, GSE13083, GSE1420 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:37907428
[1]
data:geo:GSE10667
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:GSE10667
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
2026-11-01T18:57:50Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
13336
completion_tokens
2708
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:37907428
type
paper
label
pmid:37907428
[1] object · 3 fields
id
source:pmid:37907428
type
manuscript
label
PMID 37907428 full text
[2] object · 3 fields
id
data:geo:GSE10667
type
dataset
label
GEO GSE10667
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:37907428
type
paper
label
pmid:37907428
[1] object · 3 fields
id
source:pmid:37907428
type
manuscript
label
PMID 37907428 full text
[2] object · 3 fields
id
data:geo:GSE10667
type
dataset
label
GEO GSE10667
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-37907428
type
extraction
used array · 1 item
[0]
source:pmid:37907428
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE10667
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE10667
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:37907428
parent_hash
sha256:43f6588826185af98bcd888e8b0db0284160db4c148e3c5f74df79bb58701508
fork_of
null
gaps array · 18 items
[0]
asset:data:geo:GSE10667 licence not read
[1]
asset:data:geo:GSE10667 not downloaded
[2]
asset:data:geo:GSE13083 licence not read
[3]
asset:data:geo:GSE13083 not downloaded
[4]
asset:data:geo:GSE1420 licence not read
[5]
asset:data:geo:GSE1420 not downloaded
[6]
asset:data:geo:GSE24206 licence not read
[7]
asset:data:geo:GSE24206 not downloaded
[8]
asset:data:geo:GSE26886 licence not read
[9]
asset:data:geo:GSE26886 not downloaded
[10]
asset:data:geo:GSE39491 licence not read
[11]
asset:data:geo:GSE39491 not downloaded
[12]
asset:data:geo:GSE53845 licence not read
[13]
asset:data:geo:GSE53845 not downloaded
[14]
execution.not_run
[15]
review.human_critique
[16]
review.independent_reader
[17]
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]
The Differentially expressed genes (DEGs) in each GEO data set were screened using the GEO online tool GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/), which is an R‐based web application using limma package. p values were used to reduce the false‐positive rate using Benjamini & Hochberg method.
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:37907428", "kind": "science-record", "revision": 5, "content_hash": "sha256:a9376d72e58e7a790e899096a9306b70ebd4ef0cfb12c4f76e7e0537aa0ace90", "created_at": "2026-11-01T19:02:47Z", "updated_at": "2026-11-01T22:52:59Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease.", "doi": "10.1049/syb2.12081", "pmid": "37907428", "authors": ["Peipei Chen", "Lubin Xie", "Leikai Ma", "Xianda Zhao", "Yong Chen", "Zhouling Ge"], "journal": "IET systems biology", "year": 2023, "abstract": "With increasing research on idiopathic pulmonary fibrosis (IPF) and gastroesophageal reflux disease (GERD), more and more studies have indicated that GERD is associated with IPF, but the underlying pathological mechanisms remain unclear. The aim of the present study is to identify and analyse the differentially expressed genes (DEGs) between IPF and GERD and explore the relevant molecular mechanisms via bioinformatics analysis. Four GEO datasets (GSE24206, GSE53845, GSE26886, and GSE39491) were downloaded from the GEO database, and DEGs between IPF and GERD were identified with the online tool GEO2R. Subsequently, a series of bioinformatics analyses are conducted, including Kyoto Encyclopaedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses, the PPI network, biological characteristics, TF-gene interactions, TF-miRNA coregulatory networks, and the prediction of drug molecules. Totally, 71 genes were identified as DEGs in IPF and GERD. Five KEGG pathways, including Amoebiasis, Protein digestion and absorption, Relaxin signalling pathway, AGE-RAGE signalling pathway in diabetic complications, and Drug metabolism - cytochrome P450, were significantly enriched. In addition, eight hub genes, including POSTN, MMP1, COL3A1, COL1A2, CXCL12, TIMP3, VCAM1, and COL1A1 were selected from the PPI network by Cytoscape software. Then, five hub genes (MMP1, POSTN, COL3A1, COL1A2, and COL1A1) with high diagnostic values for IPF and GERD were validated by GEO datasets. Finally, TF-gene and miRNA interaction was identified with hub genes and predicted drug molecules for the IPF and GERD. And the results suggest that cetirizine, luteolin, and pempidine may have great potential therapeutic value in IPF and GERD. This study will provide novel strategies for the identification of potential biomarkers and valuable therapeutic targets for IPF and GERD.", "claims": [{"id": "claim-method", "statement": "The Differentially expressed genes (DEGs) in each GEO data set were screened using the GEO online tool GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/), which is an R‐based web application using limma package. p values were used to reduce the false‐positive rate using Benjamini & Hochberg method.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37907428", "locator": "sections[4] \"Differentially expressed genes selection\" paragraph 2", "quote": "The Differentially expressed genes (DEGs) in each GEO data set were screened using the GEO online tool GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/), which is an R‐based web application using limma package. p values were used to reduce the false‐positive rate using Benjamini & Hochberg method."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data that support the findings of this study are openly available in the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37907428", "locator": "sections[28] \"DATA AVAILABILITY STATEMENT\" paragraph 2", "quote": "The data that support the findings of this study are openly available in the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "And the results suggest that cetirizine, luteolin, and pempidine may have great potential therapeutic value in IPF and GERD.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37907428", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "And the results suggest that cetirizine, luteolin, and pempidine may have great potential therapeutic value in IPF and GERD."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "And the results suggest that cetirizine, luteolin, and pempidine may have great potential therapeutic value in IPF and GERD.", "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:37907428"], "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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