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pmid:34506234

A novel immune-related genes signature after bariatric surgery is histologically associated with non-alcoholic fatty liver disease.

Yancheng Song · Jan Zhang · Hexiang Wang · Dong Guo · Chentong Yuan · Bo Liu · Hao Zhong · Dongmei Li · Yu Li

Adipocyte · 2021 doi:10.1080/21623945.2021.1970341

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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title
A novel immune-related genes signature after bariatric surgery is histologically associated with non-alcoholic fatty liver disease.
doi
10.1080/21623945.2021.1970341
pmid
34506234
authors array · 9 items
[0]
Yancheng Song
[1]
Jan Zhang
[2]
Hexiang Wang
[3]
Dong Guo
[4]
Chentong Yuan
[5]
Bo Liu
[6]
Hao Zhong
[7]
Dongmei Li
[8]
Yu Li
journal
Adipocyte
year
2021
abstract
Increasing evidence shows that immune-related genes (IRGs) play an important role in bariatric surgery (BS). We identified differentially expressed immune-related genes (DEIRGs) of adipose tissue after BS by analysing the two expression profiles of GEO (GSE59034 and GSE29409). Subsequently, enrichment analysis, GSEA and PPI networks were examined to identify the hub IRGs and related pathways. The performance of the signature was evaluated by area under the curve (AUC) of the receiver operating characteristic (ROC). CIBERSORT algorithm was used to evaluate the relative abundance of infiltrated immune cells.42 DEIRGs were found between the GSE59034 and GSE29409 datasets. The AUC of the signature was 0.904 and 0.865 in the GSE58979 and GSE48452, respectively. Interestingly, the signature also showed good performance in diagnosing non-alcoholic fatty liver disease (NAFLD) (AUC was 0.834 and 0.800, respectively). The number of neutrophils, macrophages M2, macrophages M0 and dendritic cells activated decreased significantly. After BS, the infiltration of T cells regulatory, monocytes, mast cells resting and plasma cells in adipose tissue increased. The novel proposed IRGs signature reveals the underlying immune mechanism of BS and is a promising biomarker for distinguishing the severity of NAFLD. This will provide new insights into strategies for treating obesity and NAFLD.
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GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) is the tool used to identify DEGs in the GEO database. GEO2R was used to identify DEGs before and after BS. |log FC| >0.5 and p < 0.05 were used as the threshold for DEGs screening.
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GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) is the tool used to identify DEGs in the GEO database. GEO2R was used to identify DEGs before and after BS. |log FC| >0.5 and p < 0.05 were used as the threshold for DEGs screening.
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The data that support the findings of this study are available in GEO database (http://www.ncbi.nlm.nih.gov/geo), reference number [GSE59034, GSE29409, GSE83452, GSE58979 and GSE48452].
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GSM2203484
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16686
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Homo sapiens
title
Expression data from liver of obese patients
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2026-11-01T15:39:55Z
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Microarray data
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Table 1.
caption
Characteristics of the included microarray datasets
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[0] array · 6 items
[0]
GSE ID
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Participants
[2]
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Year
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[1] array · 6 items
[0]
GSE59034
[1]
16 before BS and 16 after BS
[2]
Adipose tissue
[3]
2017
[4]
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[5]
GPL11532
[2] array · 6 items
[0]
GSE29409
[1]
5 before BS and 5 after BS
[2]
Adipose tissue
[3]
2012
[4]
Array
[5]
GPL7020
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[0]
GSE83452
[1]
76 samples
[2]
Liver tissue
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2017
[4]
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[5]
GPL16686
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[0]
GSE58979
[1]
53 samples
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Adipose tissue
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2015
[4]
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[5]
GPL15207
[5] array · 6 items
[0]
GSE48452
[1]
73 samples
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Liver tissue
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2013
[4]
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[5]
GPL11532
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section[3]/table-wrap[1]#t0001
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42 DEIRGs after bariatric surgery
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pmcid
PMC8437528
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13
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DEIRGs after bariatric surgery
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Table 2.
caption
42 DEIRGs after bariatric surgery
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section[13]/table-wrap[1]#t0002
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section[15]/table-wrap[1]#t0003
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GSEA analysis of GSE59034
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pmcid
PMC8437528
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15
section_title
Potential signalling pathways were identified by GSEA
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12
column_count
4
table object · 8 fields
label
Table 3.
caption
GSEA analysis of GSE59034
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5.44E-04
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KEGG_TOLL_LIKE_RECEPTOR_SIGNALLING_PATHWAY
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−1.67E+00
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KEGG_LEUKOCYTE_TRANSENDOTHELIAL_MIGRATION
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locator
section[15]/table-wrap[1]#t0003
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asset:data:geo:GSE29409 not downloaded
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asset:data:geo:GSE83452 not downloaded
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quote
GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) is the tool used to identify DEGs in the GEO database. GEO2R was used to identify DEGs before and after BS. |log FC| >0.5 and p < 0.05 were used as the threshold for DEGs screening.
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candidate
Automated Assays Laravel application and simulated adapters
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GSE59034
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GSE29409
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GSE83452
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GSE58979
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GSE48452
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GSE59034
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GSE29409
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GSE83452
[3]
GSE58979
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GSE48452
statements array · 1 item
[0]
The data that support the findings of this study are available in GEO database (http://www.ncbi.nlm.nih.gov/geo), reference number [GSE59034, GSE29409, GSE83452, GSE58979 and GSE48452].
basis
The paper names GSE59034, GSE29409, GSE83452, GSE58979, GSE48452 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34506234", "kind": "science-record", "revision": 5, "content_hash": "sha256:4ef2f9d4b8e01b8cf6372f66debbf852f0355aa1a1bd6cb1aac5ccc0538717ec", "created_at": "2026-11-01T15:41:51Z", "updated_at": "2026-11-01T22:04:40Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A novel immune-related genes signature after bariatric surgery is histologically associated with non-alcoholic fatty liver disease.", "doi": "10.1080/21623945.2021.1970341", "pmid": "34506234", "authors": ["Yancheng Song", "Jan Zhang", "Hexiang Wang", "Dong Guo", "Chentong Yuan", "Bo Liu", "Hao Zhong", "Dongmei Li", "Yu Li"], "journal": "Adipocyte", "year": 2021, "abstract": "Increasing evidence shows that immune-related genes (IRGs) play an important role in bariatric surgery (BS). We identified differentially expressed immune-related genes (DEIRGs) of adipose tissue after BS by analysing the two expression profiles of GEO (GSE59034 and GSE29409). Subsequently, enrichment analysis, GSEA and PPI networks were examined to identify the hub IRGs and related pathways. The performance of the signature was evaluated by area under the curve (AUC) of the receiver operating characteristic (ROC). CIBERSORT algorithm was used to evaluate the relative abundance of infiltrated immune cells.42 DEIRGs were found between the GSE59034 and GSE29409 datasets. The AUC of the signature was 0.904 and 0.865 in the GSE58979 and GSE48452, respectively. Interestingly, the signature also showed good performance in diagnosing non-alcoholic fatty liver disease (NAFLD) (AUC was 0.834 and 0.800, respectively). The number of neutrophils, macrophages M2, macrophages M0 and dendritic cells activated decreased significantly. After BS, the infiltration of T cells regulatory, monocytes, mast cells resting and plasma cells in adipose tissue increased. The novel proposed IRGs signature reveals the underlying immune mechanism of BS and is a promising biomarker for distinguishing the severity of NAFLD. This will provide new insights into strategies for treating obesity and NAFLD.", "claims": [{"id": "claim-method", "statement": "GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) is the tool used to identify DEGs in the GEO database. GEO2R was used to identify DEGs before and after BS. |log FC| >0.5 and p < 0.05 were used as the threshold for DEGs screening.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34506234", "locator": "sections[4] \"Identification of differentially expressed genes (DEGs)\" paragraph 2", "quote": "GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r/) is the tool used to identify DEGs in the GEO database. 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GEO2R was used to identify DEGs before and after BS. |log FC| >0.5 and p < 0.05 were used as the threshold for DEGs screening."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "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": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ppi_network."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. 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