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pmid:32870172

Dysregulated circulating SOCS3 and haptoglobin expression associated with stable coronary artery disease and acute coronary syndrome: An integrated study based on bioinformatics analysis and case-control validation.

Xunnan Zhang · Xi Lv · Xiandong Li · Yaping Wang · Hao-Yu Lin · Jicai Zhang · Chunyan Peng

Anatolian journal of cardiology · 2020 doi:10.14744/AnatolJCardiol.2020.56346

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complete

Experiment

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Data

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pmid:32870172
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title
Dysregulated circulating SOCS3 and haptoglobin expression associated with stable coronary artery disease and acute coronary syndrome: An integrated study based on bioinformatics analysis and case-control validation.
doi
10.14744/AnatolJCardiol.2020.56346
pmid
32870172
authors array · 7 items
[0]
Xunnan Zhang
[1]
Xi Lv
[2]
Xiandong Li
[3]
Yaping Wang
[4]
Hao-Yu Lin
[5]
Jicai Zhang
[6]
Chunyan Peng
journal
Anatolian journal of cardiology
year
2020
abstract
OBJECTIVE: To extensively use blood transcriptome analysis to identify potential diagnostic and therapeutic targets for cardiovascular diseases. METHODS: Two gene expression datasets (GSE59867 and GSE62646) were downloaded from GEO DataSets to identify altered blood transcriptomes in patients with ST-segment elevation myocardial infarction (STEMI) compared to stable coronary artery disease (CAD). Thereafter, several computational approaches were taken to determine functional roles and regulatory networks of differentially expressed genes (DEGs). Finally, the expression of dysregulated two hub genes-suppressor of cytokine signaling 3 (SOCS3) and haptoglobin (HP)-were validated in a case-control study. RESULTS: A total of 119 DEGs were identified in the discovery phase, consisting of 71 downregulated genes and 48 upregulated genes; two hub modules consisting of two hub genes-SOCS3 and HP-were identified. In the validation phase, both SOCS3 and HP were significantly downregulated in the stable CAD and acute coronary syndrome (ACS) patients when compared with healthy controls. Meanwhile, HP was significantly upregulated in STEMI patients when compared with stable CAD patients (p=0.041). Logistic regression analysis indicated that: downregulated expression of HP correlated with increased risk of CAD [odds ratio (OR)=0.52, 95% confidence interval (CI)=0.31~0.87, p=0.013]; and downregulated expression of SOCS3 correlated with increased risk of ACS (OR=0.66, 95% CI=0.46~0.94, p=0.023) when age, gender, history of hyperlipidemia, diabetes and hypertension were included as covariates. CONCLUSION: Future clarification of how SOCS3 and HP influence the pathogenesis of disease may pave the way for the development of novel diagnostic and therapeutic methods.
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The raw microarray data of the two datasets downloaded from the GEO database (9) were processed with the LIMMA package of the R language (http://www.R-project.org, The R Foundation) to identify genes that were differentially expressed in peripheral blood between stable CAD patients and STEMI patients.
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The raw microarray data of the two datasets downloaded from the GEO database (9) were processed with the LIMMA package of the R language (http://www.R-project.org, The R Foundation) to identify genes that were differentially expressed in peripheral blood between stable CAD patients and STEMI patients.
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only two datasets were selected as discovery datasets for performing the differential analyses [(GSE62646: stable CAD (14 samples) vs. STEMI (28 samples) and GSE59867: stable CAD (46 samples) vs. STEMI (111 samples)].
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only two datasets were selected as discovery datasets for performing the differential analyses [(GSE62646: stable CAD (14 samples) vs. STEMI (28 samples) and GSE59867: stable CAD (46 samples) vs. STEMI (111 samples)].
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[26]
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[32]
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[33]
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GSM1530803
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[43]
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[45]
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[56]
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[61]
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[62]
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[63]
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[64]
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[65]
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[66]
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[67]
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[68]
GSM1530833
[69]
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[70]
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[71]
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[72]
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[73]
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[74]
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[75]
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[76]
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[77]
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[78]
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[79]
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[80]
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[82]
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[87]
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[89]
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[90]
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[91]
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[92]
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[93]
GSM1530858
[94]
GSM1530859
[95]
GSM1530860
[96]
GSM1530861
[97]
GSM1530862
sample_count
98
group_sizes
null
group_sizes_basis
null
platform
6244
taxon
Homo sapiens
title
Altered gene expression pattern in peripheral blood mononuclear cells in patients with acute myocardial infarction
resolution_checked_at
2026-11-01T15:39:55Z
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identifier_resolution_only_no_download_no_licence_read
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[3] object · 16 fields
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sha256:aa3476a3e51404cc01bc992547e115dc7c52b76c557f674ac481ec935463002e
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null
note
Primer sequences used for qPCR
structure object · 5 fields
pmcid
PMC7585973
section_index
2
section_title
Methods
row_count
7
column_count
3
table object · 8 fields
label
Table S1
caption
Primer sequences used for qPCR
rows array · 7 items
[0] array · 3 items
[0]
Gene name
[1]
Primer sequence 5’-3’
[2]
Method
[1] array · 3 items
[0]
SOCS3
[1]
F: AGCAGCGATGGAATTACCTGGAAC
[2]
qPCR
[2] array · 3 items
[0]
[1]
R: TCCAGCCCAATACCTGACACAGAA
[2]
[3] array · 3 items
[0]
HP
[1]
F: TGAATGTGAAGCAGTATGTGGGA
[2]
qPCR
[4] array · 3 items
[0]
[1]
R: CATTGATCAGCGTGGCACC
[2]
[5] array · 3 items
[0]
GAPDH
[1]
F: GAAGGTGAAGGTCGGAGTC
[2]
qPCR
[6] array · 3 items
[0]
[1]
R: GAAGATGGTGATGGGATTTC
[2]
locator
section[2]/table-wrap[1]#T1
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note
One hundred nineteen DEGs were screened from GSE59867, GSE62646 microarrays for STEMI
structure object · 5 fields
pmcid
PMC7585973
section_index
4
section_title
Results
row_count
3
column_count
2
table object · 8 fields
label
Table 1
caption
One hundred nineteen DEGs were screened from GSE59867, GSE62646 microarrays for STEMI
rows array · 3 items
[0] array · 2 items
[0]
DEGs
[1]
Gene symbol*
[1] array · 2 items
[0]
Upregulated (48)
[1]
LILRB4, FCGR1CP, FCGR1B, FCGR1A, STAB1, VSIG4, EDA2R, MIR223, CYP27A1, TNFAIP6, FMN1, RNASE1, STEAP4, ASGR2, TRIB1, NFE2, PRR13, FAM20C, AQP9, ECRP, RNASE2, LOC441081, FAM20A, SOCS3, SASH1, SLED1, TCN2, GPR162, CCR1, SIGLEC16, PPARG, ADM, SIGLEC9, LILRA5, LILRA3, TBC1D2, SH3PXD2B, LILRA6, FLVCR2, PLB1, CYP1B1, HP, CR1,TMEM176A, PADI2, EGR1, DYSF, ST14, TMEM150B, TSPO
[2] array · 2 items
[0]
Downregulated (71)
[1]
MYBL1, SNHG16, SNORD61, EPB41L4A, SNORD82, FGFBP2, DTHD1, SNORD45C, TGFBR3, SYNE2, PDGFD, BIRC3, FAM169A, KLRF1, KLRC1, CLEC2D, RORA, SH2D1A, SAMD3, TARP, CEP78, KLRC4-KLRK1, CD226, SNORA16A, SCARNA9, CLC, SNORD45B, SCARNA9L, SNORD54, SNORD58A, SNORD28, SNORD50A, HLA-DOB, HRH4, SNHG1, MYO6, SNORD59B, KLRG1, ODF2L, SNORD81, JAKMIP2, SNHG1, GNG2, LOC102725104, GBP5, C12orf75, NPM1, ARAP2, SNORA8, CPA3, KLRC4-KLRK1, KLRC3, VPS13A, KLRA1P, SYTL2, KLRC4-KLRK1, SLC4A4, PRSS23, SNORA20, SLCO4C1, KPNA5, SNORD6///TAF1D, MS4A3, KLRC2, SNORD73A, KLRD1, SNORD30, IL18RAP, C1orf21, WEE1, LINC00680-GUSBP4
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Significant enriched GO terms and Kyoto Encyclopedia of Genes and Genomes pathways of common differentially expressed genes
structure object · 5 fields
pmcid
PMC7585973
section_index
4
section_title
Results
row_count
22
column_count
4
table object · 8 fields
label
Table S2
caption
Significant enriched GO terms and Kyoto Encyclopedia of Genes and Genomes pathways of common differentially expressed genes
rows array · 22 items
[0] array · 4 items
[0]
Term
[1]
Description
[2]
Count
[3]
P-value
[1] array · 1 item
[0]
Biological process
[2] array · 4 items
[0]
GO:0007166
[1]
Cell surface receptor signaling pathway
[2]
10
[3]
5.46E-06
[3] array · 4 items
[0]
GO:0050776
[1]
Regulation of immune response
[2]
8
[3]
2.04E-05
[4] array · 4 items
[0]
GO:0045087
[1]
Innate immune response
[2]
9
[3]
9.23E-04
[5] array · 4 items
[0]
GO:0007165
[1]
Signal transduction
[2]
14
[3]
2.83E-03
[6] array · 4 items
[0]
GO:0006968
[1]
Cellular defense response
[2]
4
[3]
3.10E-03
[7] array · 4 items
[0]
GO:0045954
[1]
Positive regulation of natural killer cell mediated cytotoxicity
[2]
3
[3]
3.18E-03
[8] array · 4 items
[0]
GO:0002250
[1]
Adaptive immune response
[2]
5
[3]
5.22E-03
[9] array · 4 items
[0]
GO:0006954
[1]
Inflammatory response
[2]
7
[3]
8.86E-03
[10] array · 4 items
[0]
GO:0002228
[1]
Natural killer cell mediated immunity
[2]
2
[3]
9.39E-03
[11] array · 4 items
[0]
GO:0031100
[1]
Organ regeneration
[2]
3
[3]
2.06E-02
[12] array · 4 items
[0]
GO:0007155
[1]
Cell adhesion
[2]
7
[3]
2.10E-02
[13] array · 4 items
[0]
GO:0060850
[1]
Regulation of transcription involved in cell fate commitment
[2]
2
[3]
2.33E-02
[14] array · 4 items
[0]
GO:0070301
[1]
Cellular response to hydrogen peroxide
[2]
3
[3]
2.95E-02
[15] array · 4 items
[0]
GO:0007267
[1]
Cell–cell signaling
[2]
5
[3]
3.18E-02
[16] array · 4 items
[0]
GO:0060670
[1]
Branching involved in labyrinthine layer morphogenesis
[2]
2
[3]
4.16E-02
[17] array · 4 items
[0]
GO:0006955
[1]
Immune response
[2]
6
[3]
4.82E-02
[18] array · 4 items
[0]
KEGG pathway
[1]
[2]
[3]
[19] array · 4 items
[0]
hsa04380
[1]
Osteoclast differentiation
[2]
6
[3]
5.44E-04
[20] array · 4 items
[0]
hsa04612
[1]
Antigen processing and presentation
[2]
5
[3]
6.20E-04
[21] array · 4 items
[0]
hsa05321
[1]
IBD
[2]
3
[3]
4.38E-02
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General characteristics of the study participants
structure object · 5 fields
pmcid
PMC7585973
section_index
4
section_title
Results
row_count
29
column_count
7
table object · 8 fields
label
Table 2
caption
General characteristics of the study participants
rows array · 29 items
[0] array · 4 items
[0]
Characteristic
[1]
[2]
Patients
[3]
P
[1] array · 2 items
[0]
[1]
[2] array · 6 items
[0]
Controls (n=100)
[1]
Stable CAD (n=100)
[2]
ACS (n=102)
[3]
[4]
P1
[5]
P2
[3] array · 7 items
[0]
Demographics
[1]
[2]
[3]
[4]
[5]
[6]
[4] array · 7 items
[0]
Age (years)
[1]
57.39±7.69
[2]
58.32±8.39
[3]
59.74±9.67
[4]
0.415
[5]
0.057
[6]
0.415
[5] array · 7 items
[0]
Male
[1]
43
[2]
51
[3]
68
[4]
0.321
[5]
0.001
[6]
0.321
[6] array · 7 items
[0]
Risk factors
[1]
[2]
[3]
[4]
[5]
[6]
[7] array · 7 items
[0]
Hypertension (%)
[1]
12
[2]
55
[3]
51
[4]
<0.001
[5]
<0.001
[6]
<0.001
[8] array · 7 items
[0]
Diabetes mellitus (%)
[1]
0
[2]
29
[3]
23
[4]
<0.001
[5]
<0.001
[6]
<0.001
[9] array · 7 items
[0]
Hyperlipidemia (%)
[1]
0
[2]
12
[3]
12
[4]
<0.001
[5]
<0.001
[6]
<0.001
[10] array · 7 items
[0]
Clinical parameters
[1]
[2]
[3]
[4]
[5]
[6]
[11] array · 7 items
[0]
TC (mmol/L)
[1]
5.04±0.84
[2]
3.73±0.99
[3]
3.92±1.01
[4]
<0.001
[5]
<0.001
[6]
<0.001
[12] array · 7 items
[0]
TG (mmol/L)
[1]
1.04 (0.76, 1.33)
[2]
1.45 (0.83, 2.02)
[3]
1.16 (0.84, 1.98)
[4]
<0.001
[5]
0.002
[6]
<0.001
[13] array · 7 items
[0]
HDL-C (mmol/L)
[1]
1.60±0.35
[2]
1.05±0.27
[3]
1.04±0.26
[4]
<0.001
[5]
<0.001
[6]
<0.001
[14] array · 7 items
[0]
LDL-C (mmol/L)
[1]
2.42±0.54
[2]
2.01±0.70
[3]
2.18±0.75
[4]
<0.001
[5]
0.016
[6]
<0.001
[15] array · 7 items
[0]
Apo-A1 (g/L)
[1]
1.65±0.21
[2]
1.49±0.24
[3]
1.41±0.28
[4]
<0.001
[5]
<0.001
[6]
<0.001
[16] array · 7 items
[0]
Apo-B (g/L)
[1]
0.89±0.17
[2]
0.84±0.19
[3]
0.86±0.20
[4]
0.112
[5]
0.291
[6]
0.112
[17] array · 7 items
[0]
LP(a) (mg/L)
[1]
90.45±88.38
[2]
176.21±204.23
[3]
166.20±170.11
[4]
0.011
[5]
0.008
[6]
0.011
[18] array · 7 items
[0]
AST (IU/L)
[1]
25.00 (22.00, 29.00)
[2]
22.00 (17.00, 30.00)
[3]
28.00 (18.25, 59.50)
[4]
0.017
[5]
0.001
[6]
0.017
[19] array · 7 items
[0]
CK(IU/L)
[1]
113.77±64.89
[2]
76.68±38.63
[3]
294.60±493.64
[4]
<0.001
[5]
<0.001
[6]
<0.001
[20] array · 7 items
[0]
CKMB (IU/L)
[1]
7.16±4.86
[2]
13.51±9.98
[3]
31.59±53.90
[4]
<0.001
[5]
<0.001
[6]
<0.001
[21] array · 7 items
[0]
LDH (IU/L)
[1]
205.11±142.39
[2]
183.10±52.55
[3]
250.59±120.35
[4]
0.297
[5]
0.336
[6]
0.297
[22] array · 7 items
[0]
HBDH (IU/L)
[1]
127.05±22.99
[2]
119.05±27.98
[3]
182.22±108.70
[4]
0.046
[5]
<0.001
[6]
0.046
[23] array · 7 items
[0]
hs-CRP (mg/L)
[1]
4.06 (2.41, 6.11)
[2]
3.36 (1.30, 8.25)
[3]
6.52 (2.84, 17.17)
[4]
0.138
[5]
<0.001
[6]
0.138
[24] array · 7 items
[0]
HCY (µmol/L)
[1]
12.10 (9.90, 14.80)
[2]
13.00 (8.65, 15.97)
[3]
15.40 (11.05, 20.20)
[4]
0.974
[5]
0.023
[6]
0.974
[25] array · 7 items
[0]
CysC (mg/L)
[1]
0.60±0.09
[2]
0.65 (0.56,0.73)
[3]
0.63±0.20
[4]
<0.001
[5]
0.052
[6]
<0.001
[26] array · 7 items
[0]
GSP (mmol/L)
[1]
2.60±0.274
[2]
2.77±0.54
[3]
1.73±1.07
[4]
0.014
[5]
<0.001
[6]
0.014
[27] array · 7 items
[0]
SOCS3 (fold change)
[1]
1.00±1.04
[2]
0.84±0.83
[3]
0.75±0.68
[4]
0.040
[5]
0.005
[6]
0.040
[28] array · 7 items
[0]
HP (fold change)
[1]
1.00±0.70
[2]
0.54±0.73
[3]
0.73±0.72
[4]
0.001
[5]
0.048
[6]
0.001
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General characteristics of the study participants
structure object · 5 fields
pmcid
PMC7585973
section_index
4
section_title
Results
row_count
29
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6
table object · 8 fields
label
Table S3
caption
General characteristics of the study participants
rows array · 29 items
[0] array · 4 items
[0]
Characteristic
[1]
[2]
ACS patients
[3]
P
[1] array · 2 items
[0]
[1]
[2] array · 5 items
[0]
Stable CAD (n=100)
[1]
STEMI (n=100)
[2]
NSTEMI (n=87)
[3]
P1
[4]
P2
[3] array · 6 items
[0]
Demographics
[1]
[2]
[3]
[4]
[5]
[4] array · 6 items
[0]
Age (years)
[1]
58.32±8.39
[2]
59.52±10.17
[3]
64.86±7.56
[4]
0.375
[5]
0.005
[5] array · 6 items
[0]
Male
[1]
51
[2]
58
[3]
10
[4]
0.037
[5]
0.283
[6] array · 6 items
[0]
Risk factors
[1]
[2]
[3]
[4]
[5]
[7] array · 6 items
[0]
Hypertension (%)
[1]
55
[2]
42
[3]
9
[4]
0.382
[5]
0.786
[8] array · 6 items
[0]
Diabetes mellitus (%)
[1]
29
[2]
20
[3]
3
[4]
0.406
[5]
0.553
[9] array · 6 items
[0]
Hyperlipidemia (%)
[1]
12
[2]
8
[3]
4
[4]
0.638
[5]
0.221
[10] array · 6 items
[0]
Clinical parameters
[1]
[2]
[3]
[4]
[5]
[11] array · 6 items
[0]
TC (mmol/L)
[1]
3.73±0.97
[2]
3.90±1.01
[3]
3.90±1.01
[4]
0.279
[5]
0.299
[12] array · 6 items
[0]
TG (mmol/L)
[1]
1.45 (0.83, 2.02)
[2]
1.15 (0.84, 1.98)
[3]
1.33 (0.98, 2.04)
[4]
0.125
[5]
0.560
[13] array · 6 items
[0]
HDL-C (mmol/L)
[1]
1.05±0.27
[2]
1.04±0.27
[3]
1.06±0.27
[4]
0.742
[5]
0.939
[14] array · 6 items
[0]
LDL-C (mmol/L)
[1]
2.01±0.70
[2]
2.14±0.73
[3]
2.45±0.89
[4]
0.242
[5]
0.054
[15] array · 6 items
[0]
Apo-A1 (g/L)
[1]
1.49±0.24
[2]
1.43±0.29
[3]
1.41±0.28
[4]
0.249
[5]
0.017
[16] array · 6 items
[0]
Apo-B (g/L)
[1]
0.84±0.19
[2]
0.85±0.20
[3]
0.89±0.20
[4]
0.724
[5]
0.519
[17] array · 6 items
[0]
LP(a) (mg/L)
[1]
176.21±204.23
[2]
167.53±176.30
[3]
152.03±86.07
[4]
0.798
[5]
0.776
[18] array · 6 items
[0]
AST (IU/L)
[1]
22.00 (17.00, 30.00)
[2]
27.00 (18.00, 58.00)
[3]
40.50 (25.25, 59.75)
[4]
<0.001
[5]
0.002
[19] array · 6 items
[0]
CK(IU/L)
[1]
76.68±38.63
[2]
303.48±524.34
[3]
239.33±235.06
[4]
<0.001
[5]
0.072
[20] array · 6 items
[0]
CKMB (IU/L)
[1]
13.51±9.98
[2]
31.87±57.67
[3]
29.88±20.43
[4]
0.029
[5]
0.043
[21] array · 6 items
[0]
LDH (IU/L)
[1]
183.10±52.55
[2]
241.55±107.31
[3]
305.89±179.85
[4]
0.001
[5]
0.076
[22] array · 6 items
[0]
HBDH (IU/L)
[1]
119.05±27.98
[2]
174.47±94.50
[3]
229.56±165.11
[4]
<0.001
[5]
0.077
[23] array · 6 items
[0]
hs-CRP (mg/L)
[1]
3.36 (1.30, 8.25)
[2]
5.67 (2.78, 16.57)
[3]
12.66 (3.05, 20.84)
[4]
0.002
[5]
0.047
[24] array · 6 items
[0]
HCY (µmol/L)
[1]
13.00 (8.65, 15.97)
[2]
13.00 (9.80, 18.60)
[3]
20.65 (17.35, 23.80)
[4]
0.537
[5]
0.025
[25] array · 6 items
[0]
CysC (mg/L)
[1]
0.65 (0.56, 0.73)
[2]
0.62 (0.54, 0.70)
[3]
0.75±0.19
[4]
0.107
[5]
0.655
[26] array · 6 items
[0]
GSP (mmol/L)
[1]
2.77±0.54
[2]
1.89±1.10
[3]
1.06±0.61
[4]
<0.001
[5]
<0.001
[27] array · 6 items
[0]
SOCS3 (fold change)
[1]
1.00±0.99
[2]
0.91±0.84
[3]
0.77±0.56
[4]
0.489
[5]
0.386
[28] array · 6 items
[0]
HP (fold change)
[1]
1.00±1.34
[2]
1.42±1.37
[3]
0.97±0.93
[4]
0.041
[5]
0.945
locator
section[4]/table-wrap[4]#T5
[8] object · 16 fields
id
asset:table:pmid:32870172:6
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:4db8fdba760831f0c7c2817ee393245a2184473f1bba1149e308513103fa5380
bytes
986
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[4]/table-wrap[5]#T6
version
null
note
Correlation analysis of gene expression with detective parameters of all participants
structure object · 5 fields
pmcid
PMC7585973
section_index
4
section_title
Results
row_count
19
column_count
5
table object · 8 fields
label
Table 3
caption
Correlation analysis of gene expression with detective parameters of all participants
rows array · 19 items
[0] array · 3 items
[0]
Clinical parameters
[1]
SOCS3 (n=302)
[2]
HP (n=302)
[1] array · 2 items
[0]
[1]
[2] array · 4 items
[0]
r
[1]
P1
[2]
r
[3]
P2
[3] array · 5 items
[0]
TC
[1]
0.121
[2]
0.040
[3]
0.096
[4]
0.106
[4] array · 5 items
[0]
TG
[1]
0.015
[2]
0.807
[3]
0.034
[4]
0.571
[5] array · 5 items
[0]
HDL-C
[1]
0.044
[2]
0.470
[3]
0.035
[4]
0.565
[6] array · 5 items
[0]
LDL-C
[1]
0.095
[2]
0.116
[3]
0.055
[4]
0.359
[7] array · 5 items
[0]
Apo-A1
[1]
-0.008
[2]
0.897
[3]
-0.074
[4]
0.259
[8] array · 5 items
[0]
Apo-B
[1]
0.076
[2]
0.240
[3]
0.043
[4]
0.509
[9] array · 5 items
[0]
LP(a)
[1]
-0.151
[2]
0.045
[3]
-0.199
[4]
0.008
[10] array · 5 items
[0]
AST
[1]
-0.033
[2]
0.566
[3]
-0.067
[4]
0.248
[11] array · 5 items
[0]
CK
[1]
-0.072
[2]
0.297
[3]
-0.041
[4]
0.551
[12] array · 5 items
[0]
CKMB
[1]
-0.110
[2]
0.108
[3]
-0.044
[4]
0.519
[13] array · 5 items
[0]
LDH
[1]
-0.084
[2]
0.220
[3]
-0.042
[4]
0.539
[14] array · 5 items
[0]
HBDH
[1]
-0.092
[2]
0.181
[3]
-0.006
[4]
0.931
[15] array · 5 items
[0]
hs-CRP
[1]
0.062
[2]
0.291
[3]
0.308
[4]
<0.001
[16] array · 5 items
[0]
HCY
[1]
-0.137
[2]
0.035
[3]
-0.076
[4]
0.244
[17] array · 5 items
[0]
CysC
[1]
0.012
[2]
0.851
[3]
-0.016
[4]
0.797
[18] array · 5 items
[0]
GSP
[1]
0.110
[2]
0.107
[3]
0.060
[4]
0.380
locator
section[4]/table-wrap[5]#T6
[9] object · 16 fields
id
asset:table:pmid:32870172:7
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:0f51069f2d9924d17cb0d550c2e96377bed68cde1a41879453b4b2678a4b0fff
bytes
678
access
open
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verified
reader
read_table
reader_status
available
identifier
section[4]/table-wrap[6]#T7
version
null
note
Conditional logistic regression analysis of independent correlates between circulating leukocyte mRNA variability and stable CAD and ACS
structure object · 5 fields
pmcid
PMC7585973
section_index
4
section_title
Results
row_count
9
column_count
6
table object · 8 fields
label
Table 4
caption
Conditional logistic regression analysis of independent correlates between circulating leukocyte mRNA variability and stable CAD and ACS
rows array · 9 items
[0] array · 4 items
[0]
[1]
[2]
Stable CAD
[3]
ACS
[1] array · 2 items
[0]
[1]
[2] array · 4 items
[0]
SOCS3
[1]
HP
[2]
SOCS3
[3]
HP
[3] array · 6 items
[0]
Model 1
[1]
OR
[2]
0.728
[3]
0.522
[4]
0.588
[5]
0.484
[4] array · 6 items
[0]
[1]
95% CI
[2]
0.544~0.973
[3]
0.351~0.776
[4]
0.413~0.839
[5]
0.298~0.785
[5] array · 6 items
[0]
[1]
P-value
[2]
0.032
[3]
0.001
[4]
0.003
[5]
0.003
[6] array · 6 items
[0]
Model 2
[1]
OR
[2]
0.772
[3]
0.521
[4]
0.658
[5]
0.667
[7] array · 6 items
[0]
[1]
95% CI
[2]
0.537~1.108
[3]
0.311~0.873
[4]
0.459~0.943
[5]
0.437~1.016
[8] array · 6 items
[0]
[1]
P-value
[2]
0.160
[3]
0.013
[4]
0.023
[5]
0.059
locator
section[4]/table-wrap[6]#T7
gaps array · 4 items
[0]
asset:data:geo:GSE59867 not downloaded
[1]
asset:data:geo:GSE59867 licence not read
[2]
asset:data:geo:GSE62646 not downloaded
[3]
asset:data:geo:GSE62646 licence not read
analysis object · 4 fields
state
partial
methods array · 6 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 raw microarray data of the two datasets downloaded from the GEO database (9) were processed with the LIMMA package of the R language (http://www.R-project.org, The R Foundation) to identify genes that were differentially expressed in peripheral blood between stable CAD patients and STEMI patients.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
mann_whitney
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_mann_whitney
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
Mann-Whitney
[2] object · 10 fields
id
method-3
family
regression_modelling
specific
logistic
label
Regression modelling
dsl_operations array · 1 item
[0]
glm_logit_fit
missing_operations array · 0 items
parameters object · 1 field
coefficient
increased risk of CAD [odds ratio (OR)=0
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
0.7
band
medium
quote
Logistic regression
[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
PPI
[4] object · 10 fields
id
method-5
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
[5] object · 10 fields
id
method-6
family
contingency_analysis
specific
chi_square
label
Categorical (contingency table) analysis
dsl_operations array · 1 item
[0]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
0.8
band
high
quote
Chi-square
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 · 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 · 2 items
[0]
GSE62646
[1]
GSE59867
resolved_accessions array · 2 items
[0]
GSE62646
[1]
GSE59867
statements array · 1 item
[0]
only two datasets were selected as discovery datasets for performing the differential analyses [(GSE62646: stable CAD (14 samples) vs. STEMI (28 samples) and GSE59867: stable CAD (46 samples) vs. STEMI (111 samples)].
basis
The paper names GSE62646, GSE59867 in GEO DataSets 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 · 9 items
[0]
source:pmid:32870172
[1]
data:geo:GSE59867
[2]
asset:table:pmid:32870172:1
[3]
asset:table:pmid:32870172:2
[4]
asset:table:pmid:32870172:3
[5]
asset:table:pmid:32870172:4
[6]
asset:table:pmid:32870172:5
[7]
asset:table:pmid:32870172:6
[8]
asset:table:pmid:32870172:7
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:GSE59867
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
2026-10-31T18:22:12Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
33243
completion_tokens
1352
cached_tokens
792
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:32870172
type
paper
label
pmid:32870172
[1] object · 3 fields
id
source:pmid:32870172
type
manuscript
label
PMID 32870172 full text
[2] object · 3 fields
id
data:geo:GSE59867
type
dataset
label
GEO GSE59867
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:32870172
type
paper
label
pmid:32870172
[1] object · 3 fields
id
source:pmid:32870172
type
manuscript
label
PMID 32870172 full text
[2] object · 3 fields
id
data:geo:GSE59867
type
dataset
label
GEO GSE59867
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-32870172
type
extraction
used array · 1 item
[0]
source:pmid:32870172
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE59867
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE59867
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:32870172
parent_hash
sha256:15df37c921de6c4e4ef6d2bd03718bea1742ed02bf18fb1971d0e40fe1a2c0f2
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE59867 licence not read
[1]
asset:data:geo:GSE59867 not downloaded
[2]
asset:data:geo:GSE62646 licence not read
[3]
asset:data:geo:GSE62646 not downloaded
[4]
execution.not_run
[5]
method.reader_differs_from_extractor
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
assays array · 4 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
0.93
evidence array · 1 item
[0]
a processing and DEG identification: The raw microarray data of the two datasets downloaded from the
order_basis
paper_text_order:3986
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
treatment: Human monocytic THP-1 cells were cultured in RPMI-1640 medium (Gibco, USA) containing 10%
[1]
Total RNA was extracted from leukocytes and cultured cells using TRIZOL Regent (Invitrogen, Carls
order_basis
paper_text_order:8093
id
assay:2
[2] object · 11 fields
role
data_generation
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]
and quantitative polymerase chain reaction (qPCR): Total RNA was extracted from leukocytes an
[1]
formed with a HiScript® II Q RT SuperMix for qPCR Kit (Nanjing Vazyme Biotech Co., Ltd, Nanjin
[2]
for real-time reactions using ChamQTM SYBR® qPCR Master Mix (Nanjing Vazyme Biotech Co., Ltd,
[3]
ed as 2-ΔCq. Detailed primer information and qPCR data processing are shown in Table S1. Prime
order_basis
paper_text_order:8569
id
assay:3
[3] 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 raw microarray data of the two datasets downloaded from the GEO database (9) were processed with the LIMMA package of the R language (http://www.R-project.org, The R Foundation) to identify genes that were differentially expressed in peripheral blood between stable CAD patients and STEMI patients.
order_basis
consumes_earlier_output
id
assay:4
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32870172", "kind": "science-record", "revision": 9, "content_hash": "sha256:69e1ddcb704e38edf289c1e0ad13a48aef1003bf3784714942274abd44d22f10", "created_at": "2026-11-01T15:41:09Z", "updated_at": "2026-11-01T22:45:16Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Dysregulated circulating SOCS3 and haptoglobin expression associated with stable coronary artery disease and acute coronary syndrome: An integrated study based on bioinformatics analysis and case-control validation.", "doi": "10.14744/AnatolJCardiol.2020.56346", "pmid": "32870172", "authors": ["Xunnan Zhang", "Xi Lv", "Xiandong Li", "Yaping Wang", "Hao-Yu Lin", "Jicai Zhang", "Chunyan Peng"], "journal": "Anatolian journal of cardiology", "year": 2020, "abstract": "OBJECTIVE: To extensively use blood transcriptome analysis to identify potential diagnostic and therapeutic targets for cardiovascular diseases.\nMETHODS: Two gene expression datasets (GSE59867 and GSE62646) were downloaded from GEO DataSets to identify altered blood transcriptomes in patients with ST-segment elevation myocardial infarction (STEMI) compared to stable coronary artery disease (CAD). Thereafter, several computational approaches were taken to determine functional roles and regulatory networks of differentially expressed genes (DEGs). Finally, the expression of dysregulated two hub genes-suppressor of cytokine signaling 3 (SOCS3) and haptoglobin (HP)-were validated in a case-control study.\nRESULTS: A total of 119 DEGs were identified in the discovery phase, consisting of 71 downregulated genes and 48 upregulated genes; two hub modules consisting of two hub genes-SOCS3 and HP-were identified. In the validation phase, both SOCS3 and HP were significantly downregulated in the stable CAD and acute coronary syndrome (ACS) patients when compared with healthy controls. Meanwhile, HP was significantly upregulated in STEMI patients when compared with stable CAD patients (p=0.041). Logistic regression analysis indicated that: downregulated expression of HP correlated with increased risk of CAD [odds ratio (OR)=0.52, 95% confidence interval (CI)=0.31~0.87, p=0.013]; and downregulated expression of SOCS3 correlated with increased risk of ACS (OR=0.66, 95% CI=0.46~0.94, p=0.023) when age, gender, history of hyperlipidemia, diabetes and hypertension were included as covariates.\nCONCLUSION: Future clarification of how SOCS3 and HP influence the pathogenesis of disease may pave the way for the development of novel diagnostic and therapeutic methods.", "claims": [{"id": "claim-method", "statement": "The raw microarray data of the two datasets downloaded from the GEO database (9) were processed with the LIMMA package of the R language (http://www.R-project.org, The R Foundation) to identify genes that were differentially expressed in peripheral blood between stable CAD patients and STEMI patients.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32870172", "locator": "sections[2] \"Methods\" paragraph 4", "quote": "The raw microarray data of the two datasets downloaded from the GEO database (9) were processed with the LIMMA package of the R language (http://www.R-project.org, The R Foundation) to identify genes that were differentially expressed in peripheral blood between stable CAD patients and STEMI patients."}], "state": "complete"}, {"id": "claim-data-access", "statement": "only two datasets were selected as discovery datasets for performing the differential analyses [(GSE62646: stable CAD (14 samples) vs. STEMI (28 samples) and GSE59867: stable CAD (46 samples) vs. STEMI (111 samples)].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32870172", "locator": "sections[2] \"Methods\" paragraph 3", "quote": "only two datasets were selected as discovery datasets for performing the differential analyses [(GSE62646: stable CAD (14 samples) vs. STEMI (28 samples) and GSE59867: stable CAD (46 samples) vs. STEMI (111 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:32870172"], "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:GSE59867"], "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:GSE59867"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32870172", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.14744/AnatolJCardiol.2020.56346", "sha256": 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SH3PXD2B, LILRA6, FLVCR2, PLB1, CYP1B1, HP, CR1,TMEM176A, PADI2, EGR1, DYSF, ST14, TMEM150B, TSPO"], ["Downregulated (71)", "MYBL1, SNHG16, SNORD61, EPB41L4A, SNORD82, FGFBP2, DTHD1, SNORD45C, TGFBR3, SYNE2, PDGFD, BIRC3, FAM169A, KLRF1, KLRC1, CLEC2D, RORA, SH2D1A, SAMD3, TARP, CEP78, KLRC4-KLRK1, CD226, SNORA16A, SCARNA9, CLC, SNORD45B, SCARNA9L, SNORD54, SNORD58A, SNORD28, SNORD50A, HLA-DOB, HRH4, SNHG1, MYO6, SNORD59B, KLRG1, ODF2L, SNORD81, JAKMIP2, SNHG1, GNG2, LOC102725104, GBP5, C12orf75, NPM1, ARAP2, SNORA8, CPA3, KLRC4-KLRK1, KLRC3, VPS13A, KLRA1P, SYTL2, KLRC4-KLRK1, SLC4A4, PRSS23, SNORA20, SLCO4C1, KPNA5, SNORD6///TAF1D, MS4A3, KLRC2, SNORD73A, KLRD1, SNORD30, IL18RAP, C1orf21, WEE1, LINC00680-GUSBP4"]], "row_count": 3, "column_count": 2, "numeric_cells": 4, "header_rows": 1, "locator": "section[4]/table-wrap[1]#T2"}}, {"id": "asset:table:pmid:32870172:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:ed0b8a19453b2bfeefc84b6dc55655d00d2202c899883bf54f27f5a112e87830", "bytes": 1548, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[4]/table-wrap[2]#T3", "version": null, "note": "Significant enriched GO terms and Kyoto Encyclopedia of Genes and Genomes pathways of common differentially expressed genes", "structure": {"pmcid": "PMC7585973", "section_index": 4, "section_title": "Results", "row_count": 22, "column_count": 4}, "table": {"label": "Table S2", "caption": "Significant enriched GO terms and Kyoto Encyclopedia of Genes and Genomes pathways of common differentially expressed genes", "rows": [["Term", "Description", "Count", "P-value"], ["Biological process"], ["GO:0007166", "Cell surface receptor signaling pathway", "10", "5.46E-06"], ["GO:0050776", "Regulation of immune response", "8", "2.04E-05"], ["GO:0045087", "Innate immune response", "9", "9.23E-04"], ["GO:0007165", "Signal transduction", "14", "2.83E-03"], ["GO:0006968", "Cellular defense response", "4", "3.10E-03"], ["GO:0045954", "Positive regulation of natural killer cell mediated cytotoxicity", "3", "3.18E-03"], ["GO:0002250", "Adaptive immune response", "5", "5.22E-03"], ["GO:0006954", "Inflammatory response", "7", "8.86E-03"], ["GO:0002228", "Natural killer cell mediated immunity", "2", "9.39E-03"], ["GO:0031100", "Organ regeneration", "3", "2.06E-02"], ["GO:0007155", "Cell adhesion", "7", "2.10E-02"], ["GO:0060850", "Regulation of transcription involved in cell fate commitment", "2", "2.33E-02"], ["GO:0070301", "Cellular response to hydrogen peroxide", "3", "2.95E-02"], ["GO:0007267", "Cell–cell signaling", "5", "3.18E-02"], ["GO:0060670", "Branching involved in labyrinthine layer morphogenesis", "2", "4.16E-02"], ["GO:0006955", "Immune response", "6", "4.82E-02"], ["KEGG pathway", "", "", ""], ["hsa04380", "Osteoclast differentiation", "6", "5.44E-04"], ["hsa04612", "Antigen processing and presentation", "5", 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"", "", "", "", ""], ["Age (years)", "57.39±7.69", "58.32±8.39", "59.74±9.67", "0.415", "0.057", "0.415"], ["Male", "43", "51", "68", "0.321", "0.001", "0.321"], ["Risk factors", "", "", "", "", "", ""], ["Hypertension (%)", "12", "55", "51", "<0.001", "<0.001", "<0.001"], ["Diabetes mellitus (%)", "0", "29", "23", "<0.001", "<0.001", "<0.001"], ["Hyperlipidemia (%)", "0", "12", "12", "<0.001", "<0.001", "<0.001"], ["Clinical parameters", "", "", "", "", "", ""], ["TC (mmol/L)", "5.04±0.84", "3.73±0.99", "3.92±1.01", "<0.001", "<0.001", "<0.001"], ["TG (mmol/L)", "1.04 (0.76, 1.33)", "1.45 (0.83, 2.02)", "1.16 (0.84, 1.98)", "<0.001", "0.002", "<0.001"], ["HDL-C (mmol/L)", "1.60±0.35", "1.05±0.27", "1.04±0.26", "<0.001", "<0.001", "<0.001"], ["LDL-C (mmol/L)", "2.42±0.54", "2.01±0.70", "2.18±0.75", "<0.001", "0.016", "<0.001"], ["Apo-A1 (g/L)", "1.65±0.21", "1.49±0.24", "1.41±0.28", "<0.001", "<0.001", "<0.001"], ["Apo-B (g/L)", "0.89±0.17", "0.84±0.19", "0.86±0.20", "0.112", "0.291", 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(fold change)", "1.00±1.04", "0.84±0.83", "0.75±0.68", "0.040", "0.005", "0.040"], ["HP (fold change)", "1.00±0.70", "0.54±0.73", "0.73±0.72", "0.001", "0.048", "0.001"]], "row_count": 29, "column_count": 7, "numeric_cells": 141, "header_rows": 3, "locator": "section[4]/table-wrap[3]#T4"}}, {"id": "asset:table:pmid:32870172:5", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:1d3ec4d309b3a46fcfb92a938e9ed39c1ec2b09ff68a365a1e5afcccdf92d660", "bytes": 2158, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[4]/table-wrap[4]#T5", "version": null, "note": "General characteristics of the study participants", "structure": {"pmcid": "PMC7585973", "section_index": 4, "section_title": "Results", "row_count": 29, "column_count": 6}, "table": {"label": "Table S3", "caption": "General characteristics of the study participants", "rows": [["Characteristic", "", "ACS patients", "P"], ["", ""], ["Stable CAD (n=100)", "STEMI (n=100)", "NSTEMI (n=87)", "P1", "P2"], ["Demographics", "", "", "", "", ""], ["Age (years)", "58.32±8.39", "59.52±10.17", "64.86±7.56", "0.375", "0.005"], ["Male", "51", "58", "10", "0.037", "0.283"], ["Risk factors", "", "", "", "", ""], ["Hypertension (%)", "55", "42", "9", "0.382", "0.786"], ["Diabetes mellitus (%)", "29", "20", "3", "0.406", "0.553"], ["Hyperlipidemia (%)", "12", "8", "4", "0.638", "0.221"], ["Clinical parameters", "", "", "", "", ""], ["TC (mmol/L)", "3.73±0.97", "3.90±1.01", "3.90±1.01", "0.279", "0.299"], ["TG (mmol/L)", "1.45 (0.83, 2.02)", "1.15 (0.84, 1.98)", "1.33 (0.98, 2.04)", "0.125", "0.560"], ["HDL-C (mmol/L)", "1.05±0.27", "1.04±0.27", "1.06±0.27", "0.742", "0.939"], ["LDL-C (mmol/L)", "2.01±0.70", "2.14±0.73", "2.45±0.89", "0.242", "0.054"], ["Apo-A1 (g/L)", "1.49±0.24", "1.43±0.29", "1.41±0.28", "0.249", "0.017"], ["Apo-B (g/L)", "0.84±0.19", "0.85±0.20", "0.89±0.20", "0.724", "0.519"], ["LP(a) (mg/L)", "176.21±204.23", "167.53±176.30", "152.03±86.07", "0.798", "0.776"], ["AST (IU/L)", "22.00 (17.00, 30.00)", "27.00 (18.00, 58.00)", "40.50 (25.25, 59.75)", "<0.001", "0.002"], ["CK(IU/L)", "76.68±38.63", "303.48±524.34", "239.33±235.06", "<0.001", "0.072"], ["CKMB (IU/L)", "13.51±9.98", "31.87±57.67", "29.88±20.43", "0.029", "0.043"], ["LDH (IU/L)", "183.10±52.55", "241.55±107.31", "305.89±179.85", "0.001", "0.076"], ["HBDH (IU/L)", "119.05±27.98", "174.47±94.50", "229.56±165.11", "<0.001", "0.077"], ["hs-CRP (mg/L)", "3.36 (1.30, 8.25)", "5.67 (2.78, 16.57)", "12.66 (3.05, 20.84)", "0.002", "0.047"], ["HCY (µmol/L)", "13.00 (8.65, 15.97)", "13.00 (9.80, 18.60)", "20.65 (17.35, 23.80)", "0.537", "0.025"], ["CysC (mg/L)", "0.65 (0.56, 0.73)", "0.62 (0.54, 0.70)", "0.75±0.19", "0.107", "0.655"], ["GSP (mmol/L)", "2.77±0.54", "1.89±1.10", "1.06±0.61", "<0.001", "<0.001"], ["SOCS3 (fold change)", "1.00±0.99", "0.91±0.84", "0.77±0.56", "0.489", "0.386"], ["HP (fold change)", "1.00±1.34", "1.42±1.37", "0.97±0.93", "0.041", "0.945"]], "row_count": 29, "column_count": 6, "numeric_cells": 118, "header_rows": 3, "locator": "section[4]/table-wrap[4]#T5"}}, {"id": "asset:table:pmid:32870172:6", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:4db8fdba760831f0c7c2817ee393245a2184473f1bba1149e308513103fa5380", "bytes": 986, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[4]/table-wrap[5]#T6", "version": null, "note": "Correlation analysis of gene expression with detective parameters of all participants", "structure": {"pmcid": "PMC7585973", "section_index": 4, "section_title": "Results", "row_count": 19, "column_count": 5}, "table": {"label": "Table 3", "caption": "Correlation analysis of gene expression with detective parameters of all participants", "rows": [["Clinical parameters", "SOCS3 (n=302)", "HP (n=302)"], ["", ""], ["r", "P1", "r", "P2"], ["TC", "0.121", "0.040", "0.096", "0.106"], ["TG", "0.015", "0.807", "0.034", "0.571"], ["HDL-C", "0.044", "0.470", "0.035", "0.565"], ["LDL-C", "0.095", "0.116", "0.055", "0.359"], ["Apo-A1", "-0.008", "0.897", "-0.074", "0.259"], ["Apo-B", "0.076", "0.240", "0.043", "0.509"], ["LP(a)", "-0.151", "0.045", "-0.199", "0.008"], ["AST", "-0.033", "0.566", "-0.067", "0.248"], ["CK", "-0.072", "0.297", "-0.041", "0.551"], ["CKMB", "-0.110", "0.108", "-0.044", "0.519"], ["LDH", "-0.084", "0.220", "-0.042", "0.539"], ["HBDH", "-0.092", "0.181", "-0.006", "0.931"], ["hs-CRP", "0.062", "0.291", "0.308", "<0.001"], ["HCY", "-0.137", "0.035", "-0.076", "0.244"], ["CysC", "0.012", "0.851", "-0.016", "0.797"], ["GSP", "0.110", "0.107", "0.060", "0.380"]], "row_count": 19, "column_count": 5, "numeric_cells": 66, "header_rows": 3, "locator": "section[4]/table-wrap[5]#T6"}}, {"id": "asset:table:pmid:32870172:7", "role": "table", "format": "jats-table", "media_type": 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"0.003", "0.003"], ["Model 2", "OR", "0.772", "0.521", "0.658", "0.667"], ["", "95% CI", "0.537~1.108", "0.311~0.873", "0.459~0.943", "0.437~1.016"], ["", "P-value", "0.160", "0.013", "0.023", "0.059"]], "row_count": 9, "column_count": 6, "numeric_cells": 28, "header_rows": 3, "locator": "section[4]/table-wrap[6]#T7"}}], "gaps": ["asset:data:geo:GSE59867 not downloaded", "asset:data:geo:GSE59867 licence not read", "asset:data:geo:GSE62646 not downloaded", "asset:data:geo:GSE62646 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The raw microarray data of the two datasets downloaded from the GEO database (9) were processed with the LIMMA package of the R language (http://www.R-project.org, The R Foundation) to identify genes that were differentially expressed in peripheral blood between stable CAD patients and STEMI patients."}}, {"id": "method-2", "family": "group_comparison", "specific": "mann_whitney", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_mann_whitney"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Mann-Whitney"}}, {"id": "method-3", "family": "regression_modelling", "specific": "logistic", "label": "Regression modelling", "dsl_operations": ["glm_logit_fit"], "missing_operations": [], "expressible": true, "parameters": {"coefficient": "increased risk of CAD [odds ratio (OR)=0"}, "data_shapes": ["predictors_and_outcome"], "evidence": {"score": 0.7, "band": "medium", "quote": "Logistic regression"}}, {"id": "method-4", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "PPI"}}, {"id": "method-5", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "pathway enrichment"}}, {"id": "method-6", "family": "contingency_analysis", "specific": "chi_square", "label": "Categorical (contingency table) analysis", "dsl_operations": ["chi_square_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["categorical_cross_tabulation"], "evidence": {"score": 0.8, "band": "high", "quote": "Chi-square"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom."}, "capability": {"tier": 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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": ["GSE62646", "GSE59867"], "resolved_accessions": ["GSE62646", "GSE59867"], "statements": ["only two datasets were selected as discovery datasets for performing the differential analyses [(GSE62646: stable CAD (14 samples) vs. STEMI (28 samples) and GSE59867: stable CAD (46 samples) vs. STEMI (111 samples)]."], "basis": "The paper names GSE62646, GSE59867 in GEO DataSets and the accession resolves in the repository. 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