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pmid:34124269

Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis.

Bojun Xu · Lei Wang · Huakui Zhan · Liangbin Zhao · Yuehan Wang · Meng Shen · Keyang Xu · Li Li · Xu Luo · Shasha Zhou · Anqi Tang · Gang Liu · Lu Song · Yan Li

Journal of diabetes research · 2021 doi:10.1155/2021/5546199

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:34124269
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science-record
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2026-11-01T15:41:38Z
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title
Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis.
doi
10.1155/2021/5546199
pmid
34124269
authors array · 14 items
[0]
Bojun Xu
[1]
Lei Wang
[2]
Huakui Zhan
[3]
Liangbin Zhao
[4]
Yuehan Wang
[5]
Meng Shen
[6]
Keyang Xu
[7]
Li Li
[8]
Xu Luo
[9]
Shasha Zhou
[10]
Anqi Tang
[11]
Gang Liu
[12]
Lu Song
[13]
Yan Li
journal
Journal of diabetes research
year
2021
abstract
OBJECTIVES: Diabetic nephropathy (DN) is a major cause of end-stage renal disease (ESRD) throughout the world, and the identification of novel biomarkers via bioinformatics analysis could provide research foundation for future experimental verification and large-group cohort in DN models and patients. METHODS: GSE30528, GSE47183, and GSE104948 were downloaded from Gene Expression Omnibus (GEO) database to find differentially expressed genes (DEGs). The difference of gene expression between normal renal tissues and DN renal tissues was firstly screened by GEO2R. Then, the protein-protein interactions (PPIs) of DEGs were performed by STRING database, the result was integrated and visualized via applying Cytoscape software, and the hub genes in this PPI network were selected by MCODE and topological analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were carried out to determine the molecular mechanisms of DEGs involved in the progression of DN. Finally, the Nephroseq v5 online platform was used to explore the correlation between hub genes and clinical features of DN. RESULTS: There were 64 DEGs, and 32 hub genes were identified, enriched pathways of hub genes involved in several functions and expression pathways, such as complement binding, extracellular matrix structural constituent, complement cascade related pathways, and ECM proteoglycans. The correlation analysis and subgroup analysis of 7 complement cascade-related hub genes and the clinical characteristics of DN showed that C1QA, C1QB, C3, CFB, ITGB2, VSIG4, and CLU may participate in the development of DN. CONCLUSIONS: We confirmed that the complement cascade-related hub genes may be the novel biomarkers for DN early diagnosis and targeted treatment.
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Pearson's correlation analysis between hub genes and glomerular filtration rate (GFR) in patients with DN was conducted via applying Nephroseq v5.
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sections[7] "2.5. Statistical Analysis" paragraph 2
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Pearson's correlation analysis between hub genes and glomerular filtration rate (GFR) in patients with DN was conducted via applying Nephroseq v5.
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sections[16] "Data Availability" paragraph 2
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The data used to support the findings of this study are included within the article.
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Hub genes of diabetic nephropathy.
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Table 2
caption
Hub genes of diabetic nephropathy.
rows array · 35 items
[0] array · 5 items
[0]
Groups
[1]
Gene symbol
[2]
GSE30528
[3]
GSE104948
[4]
GSE47183
[1] array · 6 items
[0]
LogFC
[1]
P value
[2]
LogFC
[3]
P value
[4]
LogFC
[5]
P value
[2] array · 8 items
[0]
Up
[1]
FN1
[2]
1.540307
[3]
1.86E − 06
[4]
1.688679
[5]
6.53E − 14
[6]
1.411328
[7]
0.000115
[3] array · 7 items
[0]
CD44
[1]
1.410913
[2]
0.00288
[3]
1.154713
[4]
1.03E − 09
[5]
1.118944
[6]
0.004117
[4] array · 7 items
[0]
ITGB2
[1]
1.288601
[2]
0.000137
[3]
1.624558
[4]
1.71E − 09
[5]
1.176759
[6]
0.015233
[5] array · 7 items
[0]
CCL5
[1]
1.720493
[2]
0.000615
[3]
1.281747
[4]
1.58E − 08
[5]
1.010635
[6]
0.002817
[6] array · 7 items
[0]
CD163
[1]
1.973348
[2]
2.66E − 06
[3]
1.260515
[4]
4.52E − 05
[5]
2.25682
[6]
0.006126
[7] array · 7 items
[0]
C1QA
[1]
1.922276
[2]
3.04E − 08
[3]
2.469202
[4]
7.39E − 08
[5]
2.643819
[6]
0.002315
[8] array · 7 items
[0]
C1QB
[1]
2.204686
[2]
4.22E − 07
[3]
2.123409
[4]
8.65E − 08
[5]
2.331991
[6]
0.003483
[9] array · 7 items
[0]
CYBB
[1]
1.082376
[2]
2.88E − 05
[3]
1.559454
[4]
6.84E − 10
[5]
1.081369
[6]
0.01398
[10] array · 7 items
[0]
TYROBP
[1]
1.3831
[2]
0.000242
[3]
2.191158
[4]
1.95E − 08
[5]
1.720981
[6]
0.000578
[11] array · 7 items
[0]
LYZ
[1]
1.529532
[2]
0.00258
[3]
2.79008
[4]
2.08E − 08
[5]
1.693295
[6]
0.000448
[12] array · 7 items
[0]
CD48
[1]
1.736706
[2]
0.000071
[3]
2.1464
[4]
7.11E − 11
[5]
1.271107
[6]
0.002955
[13] array · 7 items
[0]
IL10RA
[1]
1.468163
[2]
0.000276
[3]
1.928371
[4]
3.65E − 09
[5]
1.340032
[6]
0.004027
[14] array · 7 items
[0]
CLEC10A
[1]
1.005234
[2]
6.1E − 06
[3]
1.197336
[4]
6.34E − 07
[5]
1.050224
[6]
0.032825
[15] array · 7 items
[0]
COL1A2
[1]
2.590987
[2]
9.18E − 06
[3]
2.656871
[4]
2.14E − 07
[5]
2.275034
[6]
0.005026
[16] array · 7 items
[0]
CLU
[1]
1.472253
[2]
0.000508
[3]
1.734574
[4]
1.59E − 06
[5]
1.912975
[6]
0.002851
[17] array · 7 items
[0]
C3
[1]
2.679961
[2]
0.000157
[3]
2.281075
[4]
3.84E − 06
[5]
2.430408
[6]
0.017567
[18] array · 7 items
[0]
IRF8
[1]
1.583247
[2]
0.000131
[3]
1.488973
[4]
1.09E − 06
[5]
1.493004
[6]
0.005593
[19] array · 7 items
[0]
CD52
[1]
2.232654
[2]
9.78E − 05
[3]
2.140349
[4]
6.98E − 13
[5]
1.169746
[6]
0.007569
[20] array · 7 items
[0]
TGFBI
[1]
1.32786
[2]
0.000642
[3]
2.396142
[4]
3.41E − 13
[5]
2.168562
[6]
3.43E − 05
[21] array · 7 items
[0]
ALOX5
[1]
1.673735
[2]
0.00568
[3]
1.450238
[4]
7.51E − 09
[5]
1.277775
[6]
0.001606
[22] array · 7 items
[0]
CD53
[1]
1.672055
[2]
5.65E − 05
[3]
1.74099
[4]
5.92E − 08
[5]
1.230233
[6]
0.012145
[23] array · 7 items
[0]
VSIG4
[1]
1.576657
[2]
5.22E − 06
[3]
1.696336
[4]
1.31E − 07
[5]
1.919467
[6]
0.003
[24] array · 7 items
[0]
CFB
[1]
1.720388
[2]
6.19E − 05
[3]
1.382782
[4]
5.74E − 05
[5]
1.365459
[6]
0.021665
[25] array · 7 items
[0]
IGFBP3
[1]
1.033501
[2]
9.66E − 05
[3]
1.23278
[4]
0.000966
[5]
2.409502
[6]
0.002813
[26] array · 7 items
[0]
LAPTM5
[1]
1.062031
[2]
0.00158
[3]
1.554621
[4]
9.52E − 08
[5]
1.238422
[6]
0.001673
[27] array · 7 items
[0]
MS4A6A
[1]
1.869037
[2]
6.81E − 06
[3]
2.054775
[4]
9.74E − 09
[5]
1.959976
[6]
0.00497
[28] array · 7 items
[0]
LUM
[1]
2.374619
[2]
4.49E − 05
[3]
1.843351
[4]
0.00363
[5]
3.496266
[6]
0.004413
[29] array · 7 items
[0]
VCAN
[1]
1.273776
[2]
0.00177
[3]
1.33971
[4]
4.88E − 05
[5]
1.440879
[6]
0.034958
[30] array · 7 items
[0]
MS4A4A
[1]
1.446755
[2]
2.65E − 05
[3]
2.039072
[4]
1.15E − 08
[5]
1.994681
[6]
0.00792
[31] array · 7 items
[0]
DOCK2
[1]
1.009537
[2]
0.0028
[3]
1.457016
[4]
1.34E − 09
[5]
1.181051
[6]
0.003642
[32] array · 1 item
[0]
[33] array · 8 items
[0]
Down
[1]
ALB
[2]
-1.78623
[3]
0.00896
[4]
-2.38803
[5]
0.000092
[6]
-2.63068
[7]
0.007517
[34] array · 7 items
[0]
IGF1
[1]
-2.57456
[2]
7.11E − 05
[3]
-1.6702
[4]
1.25E − 05
[5]
-1.63423
[6]
3.29E − 05
locator
section[10]/table-wrap[2]#tab2
gaps array · 6 items
[0]
asset:data:geo:GSE104948 not downloaded
[1]
asset:data:geo:GSE104948 licence not read
[2]
asset:data:geo:GSE30528 not downloaded
[3]
asset:data:geo:GSE30528 licence not read
[4]
asset:data:geo:GSE47183 not downloaded
[5]
asset:data:geo:GSE47183 licence not read
analysis object · 4 fields
state
partial
methods array · 4 items
[0] object · 10 fields
id
method-1
family
correlation_analysis
specific
pearson
label
Correlation analysis
dsl_operations array · 1 item
[0]
pearson_r
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
1
band
verbatim
quote
Pearson's correlation analysis between hub genes and glomerular filtration rate (GFR) in patients with DN was conducted via applying Nephroseq v5.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
student_t_test
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
student_t
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Student's t-test
[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
PPI
[3] object · 10 fields
id
method-4
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
0.7
band
medium
quote
pathway enrichment
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
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]
pearson_r
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: pearson.
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]
GSE30528
[1]
GSE47183
[2]
GSE104948
resolved_accessions array · 3 items
[0]
GSE30528
[1]
GSE47183
[2]
GSE104948
statements array · 1 item
[0]
The data used to support the findings of this study are included within the article.
basis
The paper names GSE30528, GSE47183, GSE104948 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]
pearson_r
assets array · 4 items
[0]
source:pmid:34124269
[1]
data:geo:GSE104948
[2]
asset:table:pmid:34124269:1
[3]
asset:table:pmid:34124269:2
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:GSE104948
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
2026-10-31T18:30:50Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
33076
completion_tokens
1209
cached_tokens
785
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:34124269
type
paper
label
pmid:34124269
[1] object · 3 fields
id
source:pmid:34124269
type
manuscript
label
PMID 34124269 full text
[2] object · 3 fields
id
data:geo:GSE104948
type
dataset
label
GEO GSE104948
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:34124269
type
paper
label
pmid:34124269
[1] object · 3 fields
id
source:pmid:34124269
type
manuscript
label
PMID 34124269 full text
[2] object · 3 fields
id
data:geo:GSE104948
type
dataset
label
GEO GSE104948
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34124269
type
extraction
used array · 1 item
[0]
source:pmid:34124269
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE104948
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE104948
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:34124269
parent_hash
sha256:70bf58666b356a59a8c64f5ca3de3c849da6ea1ec57a6d10599e3c4c5fc2dbb4
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE104948 licence not read
[1]
asset:data:geo:GSE104948 not downloaded
[2]
asset:data:geo:GSE30528 licence not read
[3]
asset:data:geo:GSE30528 not downloaded
[4]
asset:data:geo:GSE47183 licence not read
[5]
asset:data:geo:GSE47183 not downloaded
[6]
execution.not_run
[7]
method.reader_differs_from_extractor
[8]
review.human_critique
[9]
review.independent_reader
[10]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
correlation_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
pearson_r
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Pearson's correlation analysis between hub genes and glomerular filtration rate (GFR) in patients with DN was conducted via applying Nephroseq v5.
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:34124269", "kind": "science-record", "revision": 7, "content_hash": "sha256:0379eeeab9eb91a17a5f0077f5684061b817b26e266792477bd9d3623a9f6aac", "created_at": "2026-11-01T15:41:38Z", "updated_at": "2026-11-01T22:03:58Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis.", "doi": "10.1155/2021/5546199", "pmid": "34124269", "authors": ["Bojun Xu", "Lei Wang", "Huakui Zhan", "Liangbin Zhao", "Yuehan Wang", "Meng Shen", "Keyang Xu", "Li Li", "Xu Luo", "Shasha Zhou", "Anqi Tang", "Gang Liu", "Lu Song", "Yan Li"], "journal": "Journal of diabetes research", "year": 2021, "abstract": "OBJECTIVES: Diabetic nephropathy (DN) is a major cause of end-stage renal disease (ESRD) throughout the world, and the identification of novel biomarkers via bioinformatics analysis could provide research foundation for future experimental verification and large-group cohort in DN models and patients.\nMETHODS: GSE30528, GSE47183, and GSE104948 were downloaded from Gene Expression Omnibus (GEO) database to find differentially expressed genes (DEGs). The difference of gene expression between normal renal tissues and DN renal tissues was firstly screened by GEO2R. Then, the protein-protein interactions (PPIs) of DEGs were performed by STRING database, the result was integrated and visualized via applying Cytoscape software, and the hub genes in this PPI network were selected by MCODE and topological analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were carried out to determine the molecular mechanisms of DEGs involved in the progression of DN. Finally, the Nephroseq v5 online platform was used to explore the correlation between hub genes and clinical features of DN.\nRESULTS: There were 64 DEGs, and 32 hub genes were identified, enriched pathways of hub genes involved in several functions and expression pathways, such as complement binding, extracellular matrix structural constituent, complement cascade related pathways, and ECM proteoglycans. The correlation analysis and subgroup analysis of 7 complement cascade-related hub genes and the clinical characteristics of DN showed that C1QA, C1QB, C3, CFB, ITGB2, VSIG4, and CLU may participate in the development of DN.\nCONCLUSIONS: We confirmed that the complement cascade-related hub genes may be the novel biomarkers for DN early diagnosis and targeted treatment.", "claims": [{"id": "claim-method", "statement": "Pearson's correlation analysis between hub genes and glomerular filtration rate (GFR) in patients with DN was conducted via applying Nephroseq v5.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34124269", "locator": "sections[7] \"2.5. Statistical Analysis\" paragraph 2", "quote": "Pearson's correlation analysis between hub genes and glomerular filtration rate (GFR) in patients with DN was conducted via applying Nephroseq v5."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used to support the findings of this study are included within the article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34124269", "locator": "sections[16] \"Data Availability\" paragraph 2", "quote": "The data used to support the findings of this study are included within the article."}], "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:34124269"], "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:GSE104948"], "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:GSE104948"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34124269", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2021/5546199", "sha256": 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