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pmid:38606153

Potential diagnostic markers shared between non-alcoholic fatty liver disease and atherosclerosis determined by machine learning and bioinformatic analysis.

Lihong Wang · Wenhui He · Xilin Wang · Jianrong Wang · Xiaojuan Wei · Dongzhi Wu · Yundan Wu

Frontiers in medicine · 2024 doi:10.3389/fmed.2024.1322102

Paper

complete

Experiment

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Data

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title
Potential diagnostic markers shared between non-alcoholic fatty liver disease and atherosclerosis determined by machine learning and bioinformatic analysis.
doi
10.3389/fmed.2024.1322102
pmid
38606153
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[0]
Lihong Wang
[1]
Wenhui He
[2]
Xilin Wang
[3]
Jianrong Wang
[4]
Xiaojuan Wei
[5]
Dongzhi Wu
[6]
Yundan Wu
journal
Frontiers in medicine
year
2024
abstract
Background: Evidence indicates that chronic non-alcoholic fatty liver disease (NAFLD) can increase the risk of atherosclerosis (AS), but the underlying mechanism remains unclear. Objective: This study is intended for confirming key genes shared between NAFLD and AS, and their clinical diagnostic value to establish a foundation for searching novel therapeutic targets. Methods: We downloaded the Gene Expression Omnibus (GEO) datasets, GSE48452 and GSE89632 for NAFLD and GSE100927, GSE40231 and GSE28829 for AS. The progression of NAFLD co-expression gene modules were recognized via weighted gene co-expression network analysis (WGCNA). We screened for differentially expressed genes (DEGs) associated with AS and identified common genes associated with NAFLD and AS using Venn diagrams. We investigated the most significant core genes between NAFLD and AS using machine learning algorithms. We then constructed a diagnostic model by creating a nomogram and evaluating its performance using ROC curves. Furthermore, the CIBERSORT algorithm was utilized to explore the immune cell infiltration between the two diseases, and evaluate the relationship between diagnostic genes and immune cells. Results: The WGCNA findings associated 1,129 key genes with NAFLD, and the difference analysis results identified 625 DEGs in AS, and 47 genes that were common to both diseases. We screened the core RPS6KA1 and SERPINA3 genes associated with NAFLD and AS using three machine learning algorithms. A nomogram and ROC curves demonstrated that these genes had great clinical meaning. We found differential expression of RPS6KA1 in patients with steatosis and NASH, and of SERPINA3 only in those with NASH compared with normal individuals. Immune infiltration findings revealed that macrophage and mast cell infiltration play important roles in the development of NAFLD and AS. Notably, SERPINA3 correlated negatively, whereas RPS6KA1 correlated positively with macrophages and mast cells. Conclusion: We identified RPS6KA1 and SERPINA3 as potential diagnostic markers for NAFLD and AS. The most promising marker for a diagnosis of NAFLD and AS might be RPS6KA1, whereas SERPINA3 is the most closely related gene for NASH and AS. We believe that further exploration of these core genes will reveal the etiology and a pathological relationship between NAFLD and AS.
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We constructed a gene co-expression network for NAFLD by the WGCNA version 1.72.1 package in R version 4.3.1.
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We constructed a gene co-expression network for NAFLD by the WGCNA version 1.72.1 package in R version 4.3.1.
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The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
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The analysis identified 47 genes common to NAFLD and AS.
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sections[15] "Identification of DEGs in AS" paragraph 2
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The Venn diagram revealed 47 intersecting genes between AS and NAFLD (Figure 2F). Thus, these two diseases have 47 genes in common.
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TRANSCRIPTOMIC PROFILING ACROSS THE SPECTRUM OF NON-ALCOHOLIC FATTY LIVER DISEASE
resolution_checked_at
2026-11-01T18:06:43Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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false
licence_read
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[4] object · 15 fields
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data:geo:GSE163154
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null
note
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 43 items
[0]
GSM4973394
[1]
GSM4973395
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GSM4973397
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GSM4973400
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GSM4973401
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GSM4973403
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GSM4973406
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GSM4973451
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GSM4973452
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GSM4973454
[42]
GSM4973456
sample_count
43
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null
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null
platform
6104
taxon
Homo sapiens
title
Maastricht Human Plaque Study (MaasHPS)
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2026-11-01T18:06:43Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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false
licence_read
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[5] object · 15 fields
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data:geo:GSE28829
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null
note
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 29 items
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GSM714070
[1]
GSM714071
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GSM714072
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GSM714073
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GSM714074
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GSM714075
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GSM714076
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GSM714077
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GSM714078
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GSM714079
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GSM714080
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GSM714081
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GSM714082
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GSM714083
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GSM714086
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GSM714087
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GSM714089
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GSM714090
[21]
GSM714091
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GSM714092
[23]
GSM714093
[24]
GSM714094
[25]
GSM714095
[26]
GSM714096
[27]
GSM714097
[28]
GSM714098
sample_count
29
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null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene Expression in early and advanced atherosclerotic plaque from human carotid
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2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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[6] object · 15 fields
id
data:geo:GSE40231
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40231
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identifier
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null
note
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 278 items
[0]
GSM988656
[1]
GSM988657
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GSM988658
[3]
GSM988659
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GSM988660
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GSM988662
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GSM988663
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GSM988664
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GSM988665
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GSM988666
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GSM988667
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GSM988668
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GSM988669
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GSM988671
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GSM988672
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GSM988673
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GSM988674
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[20]
GSM988676
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GSM988679
[24]
GSM988680
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GSM988681
[26]
GSM988682
[27]
GSM988683
[28]
GSM988684
[29]
GSM988685
[30]
GSM988686
[31]
GSM988687
[32]
GSM988688
[33]
GSM988689
[34]
GSM988690
[35]
GSM988691
[36]
GSM988692
[37]
GSM988693
[38]
GSM988694
[39]
GSM988695
[40]
GSM988696
[41]
GSM988697
[42]
GSM988698
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GSM988699
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GSM988700
[45]
GSM988701
[46]
GSM988702
[47]
GSM988703
[48]
GSM988704
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GSM988705
[50]
GSM988706
[51]
GSM988707
[52]
GSM988708
[53]
GSM988709
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GSM988710
[55]
GSM988711
[56]
GSM988712
[57]
GSM988713
[58]
GSM988714
[59]
GSM988715
[60]
GSM988716
[61]
GSM988717
[62]
GSM988718
[63]
GSM988719
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GSM988720
[65]
GSM988721
[66]
GSM988722
[67]
GSM988723
[68]
GSM988724
[69]
GSM988725
[70]
GSM988726
[71]
GSM988727
[72]
GSM988728
[73]
GSM988729
[74]
GSM988730
[75]
GSM988731
[76]
GSM988732
[77]
GSM988733
[78]
GSM988734
[79]
GSM988735
[80]
GSM988736
[81]
GSM988737
[82]
GSM988738
[83]
GSM988739
[84]
GSM988740
[85]
GSM988741
[86]
GSM988742
[87]
GSM988743
[88]
GSM988744
[89]
GSM988745
[90]
GSM988746
[91]
GSM988747
[92]
GSM988748
[93]
GSM988749
[94]
GSM988750
[95]
GSM988751
[96]
GSM988752
[97]
GSM988753
[98]
GSM988754
[99]
GSM988755
[100]
GSM988756
[101]
GSM988757
[102]
GSM988758
[103]
GSM988759
[104]
GSM988760
[105]
GSM988761
[106]
GSM988762
[107]
GSM988763
[108]
GSM988764
[109]
GSM988765
[110]
GSM988766
[111]
GSM988767
[112]
GSM988768
[113]
GSM988769
[114]
GSM988770
[115]
GSM988771
[116]
GSM988772
[117]
GSM988773
[118]
GSM988774
[119]
GSM988775
[120]
GSM988776
[121]
GSM988777
[122]
GSM988778
[123]
GSM988779
[124]
GSM988780
[125]
GSM988781
[126]
GSM988782
[127]
GSM988783
[128]
GSM988784
[129]
GSM988785
[130]
GSM988786
[131]
GSM988787
[132]
GSM988788
[133]
GSM988789
[134]
GSM988790
[135]
GSM988791
[136]
GSM988792
[137]
GSM988793
[138]
GSM988794
[139]
GSM988795
[140]
GSM988796
[141]
GSM988797
[142]
GSM988798
[143]
GSM988799
[144]
GSM988800
[145]
GSM988801
[146]
GSM988802
[147]
GSM988803
[148]
GSM988804
[149]
GSM988805
[150]
GSM988806
[151]
GSM988807
[152]
GSM988808
[153]
GSM988809
[154]
GSM988810
[155]
GSM988811
[156]
GSM988812
[157]
GSM988813
[158]
GSM988814
[159]
GSM988815
[160]
GSM988816
[161]
GSM988817
[162]
GSM988818
[163]
GSM988819
[164]
GSM988820
[165]
GSM988821
[166]
GSM988822
[167]
GSM988823
[168]
GSM988824
[169]
GSM988825
[170]
GSM988826
[171]
GSM988827
[172]
GSM988828
[173]
GSM988829
[174]
GSM988830
[175]
GSM988831
[176]
GSM988832
[177]
GSM988833
[178]
GSM988834
[179]
GSM988835
[180]
GSM988836
[181]
GSM988837
[182]
GSM988838
[183]
GSM988839
[184]
GSM988840
[185]
GSM988841
[186]
GSM988842
[187]
GSM988843
[188]
GSM988844
[189]
GSM988845
[190]
GSM988846
[191]
GSM988847
[192]
GSM988848
[193]
GSM988849
[194]
GSM988850
[195]
GSM988851
[196]
GSM988852
[197]
GSM988853
[198]
GSM988854
[199]
GSM988855
[200]
GSM988856
[201]
GSM988857
[202]
GSM988858
[203]
GSM988859
[204]
GSM988860
[205]
GSM988861
[206]
GSM988862
[207]
GSM988863
[208]
GSM988864
[209]
GSM988865
[210]
GSM988866
[211]
GSM988867
[212]
GSM988868
[213]
GSM988869
[214]
GSM988870
[215]
GSM988871
[216]
GSM988872
[217]
GSM988873
[218]
GSM988874
[219]
GSM988875
[220]
GSM988876
[221]
GSM988877
[222]
GSM988878
[223]
GSM988879
[224]
GSM988880
[225]
GSM988881
[226]
GSM988882
[227]
GSM988883
[228]
GSM988884
[229]
GSM988885
[230]
GSM988886
[231]
GSM988887
[232]
GSM988888
[233]
GSM988889
[234]
GSM988890
[235]
GSM988891
[236]
GSM988892
[237]
GSM988893
[238]
GSM988894
[239]
GSM988895
[240]
GSM988896
[241]
GSM988897
[242]
GSM988898
[243]
GSM988899
[244]
GSM988900
[245]
GSM988901
[246]
GSM988902
[247]
GSM988903
[248]
GSM988904
[249]
GSM988905
[250]
GSM988906
[251]
GSM988907
[252]
GSM988908
[253]
GSM988909
[254]
GSM988910
[255]
GSM988911
[256]
GSM988912
[257]
GSM988913
[258]
GSM988914
[259]
GSM988915
[260]
GSM988916
[261]
GSM988917
[262]
GSM988918
[263]
GSM988919
[264]
GSM988920
[265]
GSM988921
[266]
GSM988922
[267]
GSM988923
[268]
GSM988924
[269]
GSM988925
[270]
GSM988926
[271]
GSM988927
[272]
GSM988928
[273]
GSM988929
[274]
GSM988930
[275]
GSM988931
[276]
GSM988932
[277]
GSM988933
sample_count
278
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
The Stockholm Atherosclerosis Gene Expression (STAGE) study: Global Gene Expression data from coronary and carotid artery disease patients
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] object · 15 fields
id
data:geo:GSE48452
role
raw
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geo-series
media_type
application/vnd.ncbi.geo-series+json
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE48452
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null
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null
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null
reader_status
reader_required
identifier
GSE48452
version
null
note
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 73 items
[0]
GSM1178970
[1]
GSM1178971
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GSM1178972
[3]
GSM1178973
[4]
GSM1178974
[5]
GSM1178975
[6]
GSM1178976
[7]
GSM1178977
[8]
GSM1178978
[9]
GSM1178979
[10]
GSM1178980
[11]
GSM1178981
[12]
GSM1178982
[13]
GSM1178983
[14]
GSM1178984
[15]
GSM1178985
[16]
GSM1178986
[17]
GSM1178987
[18]
GSM1178988
[19]
GSM1178989
[20]
GSM1178990
[21]
GSM1178991
[22]
GSM1178992
[23]
GSM1178993
[24]
GSM1178994
[25]
GSM1178995
[26]
GSM1178996
[27]
GSM1178997
[28]
GSM1178998
[29]
GSM1178999
[30]
GSM1179000
[31]
GSM1179001
[32]
GSM1179002
[33]
GSM1179003
[34]
GSM1179004
[35]
GSM1179005
[36]
GSM1179006
[37]
GSM1179007
[38]
GSM1179008
[39]
GSM1179009
[40]
GSM1179010
[41]
GSM1179011
[42]
GSM1179012
[43]
GSM1179013
[44]
GSM1179014
[45]
GSM1179015
[46]
GSM1179016
[47]
GSM1179017
[48]
GSM1179018
[49]
GSM1179019
[50]
GSM1179020
[51]
GSM1179021
[52]
GSM1179022
[53]
GSM1179023
[54]
GSM1179024
[55]
GSM1179025
[56]
GSM1179026
[57]
GSM1179027
[58]
GSM1179028
[59]
GSM1179029
[60]
GSM1179030
[61]
GSM1179031
[62]
GSM1179032
[63]
GSM1179033
[64]
GSM1179034
[65]
GSM1179035
[66]
GSM1179036
[67]
GSM1179037
[68]
GSM1179038
[69]
GSM1179039
[70]
GSM1179040
[71]
GSM1179041
[72]
GSM1179042
sample_count
73
group_sizes
null
group_sizes_basis
null
platform
11532
taxon
Homo sapiens
title
Human liver biopsy of different phases from control to NASH
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[8] object · 15 fields
id
data:geo:GSE57691
role
raw
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geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57691
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null
bytes
null
access
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null
reader_status
reader_required
identifier
GSE57691
version
null
note
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 68 items
[0]
GSM1386783
[1]
GSM1386784
[2]
GSM1386785
[3]
GSM1386786
[4]
GSM1386787
[5]
GSM1386788
[6]
GSM1386789
[7]
GSM1386790
[8]
GSM1386791
[9]
GSM1386792
[10]
GSM1386793
[11]
GSM1386794
[12]
GSM1386795
[13]
GSM1386796
[14]
GSM1386797
[15]
GSM1386798
[16]
GSM1386799
[17]
GSM1386800
[18]
GSM1386801
[19]
GSM1386802
[20]
GSM1386803
[21]
GSM1386804
[22]
GSM1386805
[23]
GSM1386806
[24]
GSM1386807
[25]
GSM1386808
[26]
GSM1386809
[27]
GSM1386810
[28]
GSM1386811
[29]
GSM1386812
[30]
GSM1386813
[31]
GSM1386814
[32]
GSM1386815
[33]
GSM1386816
[34]
GSM1386817
[35]
GSM1386818
[36]
GSM1386819
[37]
GSM1386820
[38]
GSM1386821
[39]
GSM1386822
[40]
GSM1386823
[41]
GSM1386824
[42]
GSM1386825
[43]
GSM1386826
[44]
GSM1386827
[45]
GSM1386828
[46]
GSM1386829
[47]
GSM1386830
[48]
GSM1386831
[49]
GSM1386832
[50]
GSM1386833
[51]
GSM1386834
[52]
GSM1386835
[53]
GSM1386836
[54]
GSM1386837
[55]
GSM1386838
[56]
GSM1386839
[57]
GSM1386840
[58]
GSM1386841
[59]
GSM1386842
[60]
GSM1386843
[61]
GSM1386844
[62]
GSM1386845
[63]
GSM1386846
[64]
GSM1386847
[65]
GSM1386848
[66]
GSM1386849
[67]
GSM1386850
sample_count
68
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Differential gene expression in human abdominal aortic aneurysm and atherosclerosis
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[9] object · 15 fields
id
data:geo:GSE58979
role
raw
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geo-series
media_type
application/vnd.ncbi.geo-series+json
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE58979
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null
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null
access
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null
reader_status
reader_required
identifier
GSE58979
version
null
note
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 53 items
[0]
GSM1423267
[1]
GSM1423268
[2]
GSM1423269
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GSM1423270
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GSM1423271
[5]
GSM1423272
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GSM1423273
[7]
GSM1423274
[8]
GSM1423275
[9]
GSM1423276
[10]
GSM1423277
[11]
GSM1423278
[12]
GSM1423279
[13]
GSM1423280
[14]
GSM1423281
[15]
GSM1423282
[16]
GSM1423283
[17]
GSM1423284
[18]
GSM1423285
[19]
GSM1423286
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GSM1423287
[21]
GSM1423288
[22]
GSM1423289
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GSM1423290
[24]
GSM1423291
[25]
GSM1423292
[26]
GSM1423293
[27]
GSM1423294
[28]
GSM1423295
[29]
GSM1423296
[30]
GSM1423297
[31]
GSM1423298
[32]
GSM1423299
[33]
GSM1423300
[34]
GSM1423301
[35]
GSM1423302
[36]
GSM1423303
[37]
GSM1423304
[38]
GSM1423305
[39]
GSM1423306
[40]
GSM1423307
[41]
GSM1423308
[42]
GSM1423309
[43]
GSM1423310
[44]
GSM1423311
[45]
GSM1423312
[46]
GSM1423313
[47]
GSM1423314
[48]
GSM1423315
[49]
GSM1423316
[50]
GSM1423317
[51]
GSM1423318
[52]
GSM1423319
sample_count
53
group_sizes
null
group_sizes_basis
null
platform
15207
taxon
Homo sapiens
title
Gene expression in subcutaneous and visceral fat predicts liver histology in morbidly obese patients
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[10] object · 15 fields
id
data:geo:GSE89632
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=GSE89632
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE89632
version
null
note
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 63 items
[0]
GSM2385720
[1]
GSM2385721
[2]
GSM2385722
[3]
GSM2385723
[4]
GSM2385724
[5]
GSM2385725
[6]
GSM2385726
[7]
GSM2385727
[8]
GSM2385728
[9]
GSM2385729
[10]
GSM2385730
[11]
GSM2385731
[12]
GSM2385732
[13]
GSM2385733
[14]
GSM2385734
[15]
GSM2385735
[16]
GSM2385736
[17]
GSM2385737
[18]
GSM2385738
[19]
GSM2385739
[20]
GSM2385740
[21]
GSM2385741
[22]
GSM2385742
[23]
GSM2385743
[24]
GSM2385744
[25]
GSM2385745
[26]
GSM2385746
[27]
GSM2385747
[28]
GSM2385748
[29]
GSM2385749
[30]
GSM2385750
[31]
GSM2385751
[32]
GSM2385752
[33]
GSM2385753
[34]
GSM2385754
[35]
GSM2385755
[36]
GSM2385756
[37]
GSM2385757
[38]
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[39]
GSM2385759
[40]
GSM2385760
[41]
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[42]
GSM2385762
[43]
GSM2385763
[44]
GSM2385764
[45]
GSM2385765
[46]
GSM2385766
[47]
GSM2385767
[48]
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[49]
GSM2385769
[50]
GSM2385770
[51]
GSM2385771
[52]
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[53]
GSM2385773
[54]
GSM2385774
[55]
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[56]
GSM2385776
[57]
GSM2385777
[58]
GSM2385778
[59]
GSM2385779
[60]
GSM2385780
[61]
GSM2385781
[62]
GSM2385782
sample_count
63
group_sizes
null
group_sizes_basis
null
platform
14951
taxon
Homo sapiens
title
Genome-wide analysis of hepatic gene expression in patients with non-alcoholic fatty liver disease and in healthy donors in relation to hepatic fatty acid composition and other nutritional factors
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[11] object · 15 fields
id
data:geo:GSE97210
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=GSE97210
sha256
null
bytes
null
access
open
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resolved
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null
reader_status
reader_required
identifier
GSE97210
version
null
note
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 6 items
[0]
GSM2559712
[1]
GSM2559713
[2]
GSM2559714
[3]
GSM2559715
[4]
GSM2559716
[5]
GSM2559717
sample_count
6
group_sizes
null
group_sizes_basis
null
platform
16956
taxon
Homo sapiens
title
LncRNA/mRNA expression profiling for human normal arterial intimae and advanced atherosclerotic plaques
resolution_checked_at
2026-11-01T18:06:44Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 22 items
[0]
asset:data:geo:GSE100927 not downloaded
[1]
asset:data:geo:GSE100927 licence not read
[2]
asset:data:geo:GSE130970 not downloaded
[3]
asset:data:geo:GSE130970 licence not read
[4]
asset:data:geo:GSE135251 not downloaded
[5]
asset:data:geo:GSE135251 licence not read
[6]
asset:data:geo:GSE163154 not downloaded
[7]
asset:data:geo:GSE163154 licence not read
[8]
asset:data:geo:GSE28829 not downloaded
[9]
asset:data:geo:GSE28829 licence not read
[10]
asset:data:geo:GSE40231 not downloaded
[11]
asset:data:geo:GSE40231 licence not read
[12]
asset:data:geo:GSE48452 not downloaded
[13]
asset:data:geo:GSE48452 licence not read
[14]
asset:data:geo:GSE57691 not downloaded
[15]
asset:data:geo:GSE57691 licence not read
[16]
asset:data:geo:GSE58979 not downloaded
[17]
asset:data:geo:GSE58979 licence not read
[18]
asset:data:geo:GSE89632 not downloaded
[19]
asset:data:geo:GSE89632 licence not read
[20]
asset:data:geo:GSE97210 not downloaded
[21]
asset:data:geo:GSE97210 licence not read
analysis object · 4 fields
state
partial
methods array · 3 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
We constructed a gene co-expression network for NAFLD by the WGCNA version 1.72.1 package in R version 4.3.1.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
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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
Wilcoxon
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id
method-3
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group_comparison
specific
anova
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[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
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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
analysis of variance
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 · 11 items
[0]
GSE48452
[1]
GSE89632
[2]
GSE100927
[3]
GSE130970
[4]
GSE135251
[5]
GSE58979
[6]
GSE40231
[7]
GSE28829
[8]
GSE97210
[9]
GSE57691
[10]
GSE163154
resolved_accessions array · 11 items
[0]
GSE48452
[1]
GSE89632
[2]
GSE100927
[3]
GSE130970
[4]
GSE135251
[5]
GSE58979
[6]
GSE40231
[7]
GSE28829
[8]
GSE97210
[9]
GSE57691
[10]
GSE163154
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
basis
The paper names GSE48452, GSE89632, GSE100927, GSE130970, GSE135251, GSE58979, GSE40231, GSE28829, GSE97210, GSE57691, GSE163154 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
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source:pmid:38606153
[1]
data:geo:GSE100927
steps array · 1 item
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run_analysis
must_build object · 5 fields
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readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE100927
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
2026-11-01T19:15:21Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
9492
completion_tokens
2367
cached_tokens
256
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[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
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review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
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state
absent
status
not_run
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null
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
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id
pmid:38606153
type
paper
label
pmid:38606153
[1] object · 3 fields
id
source:pmid:38606153
type
manuscript
label
PMID 38606153 full text
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id
data:geo:GSE100927
type
dataset
label
GEO GSE100927
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[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
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[0] object · 3 fields
id
pmid:38606153
type
paper
label
pmid:38606153
[1] object · 3 fields
id
source:pmid:38606153
type
manuscript
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PMID 38606153 full text
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id
data:geo:GSE100927
type
dataset
label
GEO GSE100927
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agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-38606153
type
extraction
used array · 1 item
[0]
source:pmid:38606153
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE100927
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE100927
agent
agent:corpus-assay-engine
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[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:38606153
parent_hash
sha256:f3bbd734bc5c3290739a19ae239084503c91c20075597f04780ec0626beb2965
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null
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[4]
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[5]
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[6]
asset:data:geo:GSE163154 licence not read
[7]
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[8]
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[10]
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[11]
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[12]
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[13]
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[14]
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[15]
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[16]
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[17]
asset:data:geo:GSE58979 not downloaded
[18]
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[19]
asset:data:geo:GSE89632 not downloaded
[20]
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[21]
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[22]
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data_generation
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99e1195c7d6f
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ptor signaling, and FoxO signaling pathways, apoptosis, fatty acid metabolism, lipid and atheroscle
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[1] object · 11 fields
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normalise_counts
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dsl_catalogue
f2132e96ae6c7a4e
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[0]
We constructed a gene co-expression network for NAFLD by the WGCNA version 1.72.1 package in R version 4.3.1.
order_basis
consumes_earlier_output
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38606153", "kind": "science-record", "revision": 4, "content_hash": "sha256:46b393e13fa4d009495aa00f65a426880a30f4e9ccc9cccda8bf78f4b9eb0505", "created_at": "2026-11-01T19:20:34Z", "updated_at": "2026-11-01T22:54:07Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Potential diagnostic markers shared between non-alcoholic fatty liver disease and atherosclerosis determined by machine learning and bioinformatic analysis.", "doi": "10.3389/fmed.2024.1322102", "pmid": "38606153", "authors": ["Lihong Wang", "Wenhui He", "Xilin Wang", "Jianrong Wang", "Xiaojuan Wei", "Dongzhi Wu", "Yundan Wu"], "journal": "Frontiers in medicine", "year": 2024, "abstract": "Background: Evidence indicates that chronic non-alcoholic fatty liver disease (NAFLD) can increase the risk of atherosclerosis (AS), but the underlying mechanism remains unclear.\nObjective: This study is intended for confirming key genes shared between NAFLD and AS, and their clinical diagnostic value to establish a foundation for searching novel therapeutic targets.\nMethods: We downloaded the Gene Expression Omnibus (GEO) datasets, GSE48452 and GSE89632 for NAFLD and GSE100927, GSE40231 and GSE28829 for AS. The progression of NAFLD co-expression gene modules were recognized via weighted gene co-expression network analysis (WGCNA). We screened for differentially expressed genes (DEGs) associated with AS and identified common genes associated with NAFLD and AS using Venn diagrams. We investigated the most significant core genes between NAFLD and AS using machine learning algorithms. We then constructed a diagnostic model by creating a nomogram and evaluating its performance using ROC curves. Furthermore, the CIBERSORT algorithm was utilized to explore the immune cell infiltration between the two diseases, and evaluate the relationship between diagnostic genes and immune cells.\nResults: The WGCNA findings associated 1,129 key genes with NAFLD, and the difference analysis results identified 625 DEGs in AS, and 47 genes that were common to both diseases. We screened the core RPS6KA1 and SERPINA3 genes associated with NAFLD and AS using three machine learning algorithms. A nomogram and ROC curves demonstrated that these genes had great clinical meaning. We found differential expression of RPS6KA1 in patients with steatosis and NASH, and of SERPINA3 only in those with NASH compared with normal individuals. Immune infiltration findings revealed that macrophage and mast cell infiltration play important roles in the development of NAFLD and AS. Notably, SERPINA3 correlated negatively, whereas RPS6KA1 correlated positively with macrophages and mast cells.\nConclusion: We identified RPS6KA1 and SERPINA3 as potential diagnostic markers for NAFLD and AS. The most promising marker for a diagnosis of NAFLD and AS might be RPS6KA1, whereas SERPINA3 is the most closely related gene for NASH and AS. We believe that further exploration of these core genes will reveal the etiology and a pathological relationship between NAFLD and AS.", "claims": [{"id": "claim-method", "statement": "We constructed a gene co-expression network for NAFLD by the WGCNA version 1.72.1 package in R version 4.3.1.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38606153", "locator": "sections[4] \"Gene expression analyzed using WGCNA\" paragraph 2", "quote": "We constructed a gene co-expression network for NAFLD by the WGCNA version 1.72.1 package in R version 4.3.1."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38606153", "locator": "sections[25] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The analysis identified 47 genes common to NAFLD and AS.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38606153", "locator": "sections[15] \"Identification of DEGs in AS\" paragraph 2", "quote": "The Venn diagram revealed 47 intersecting genes between AS and NAFLD (Figure 2F). Thus, these two diseases have 47 genes in common."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The analysis identified 47 genes common to NAFLD and AS.", "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:38606153"], "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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