2020
DOI: 10.1080/21623945.2020.1795434
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Integrative analyses of biomarkers and pathways for adipose tissue after bariatric surgery

Abstract: We explored potential biomarkers and molecular mechanisms regarding multiple benefits after bariatric surgery. Differentially expressed genes (DEGs) for subcutaneous adipose tissue (AT) after bariatric surgery were identified by analyzing two expression profiles from the GEO. Subsequently, enrichment analysis, GSEA, PPI network, and gene-microRNAs and gene-TFs networks were interrogated to identify hub genes and associated pathways. Co-expressed DEGs included one that was up-regulated and 22 that were down-reg… Show more

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Cited by 26 publications
(15 citation statements)
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“…These genes were all downregulated after BS. The results were similar to previous studies [ 13 , 37 , 38 ]. IL-6 from adipose tissue, which travels through the portal vein to the liver, promotes NAFLD development [ 39 ].…”
Section: Discussionsupporting
confidence: 93%
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“…These genes were all downregulated after BS. The results were similar to previous studies [ 13 , 37 , 38 ]. IL-6 from adipose tissue, which travels through the portal vein to the liver, promotes NAFLD development [ 39 ].…”
Section: Discussionsupporting
confidence: 93%
“…Notably, inflammation of adipose tissue may be a prerequisite for NASH development [ 20 ]. BS is an effective treatment for obesity, reducing inflammation and NAFLD, and improving long-term survival [ 13 , 28 ]. However, the molecular mechanism and clinical significance of BS in improving NAFLD remain to be explored to a certain extent.…”
Section: Discussionmentioning
confidence: 99%
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“…Next, to further identify the core therapeutic targets, Cytoscape plug-in MCODE (Molecular Complex Detection) was used to identify significant modules (MCODE score ≥ 4) and another plug-in Cytohubba was used. MCC algorithm was used to study node degree (score ≥ 10) of key nodes in significant modules 35 , the hub genes contained in PPI network was screened.…”
Section: Methodsmentioning
confidence: 99%
“…The expression of target genes in the post-transcriptional stage was regulated by miRNA or TF under specific disease conditions. Baldwin Jr, 2001;Liu et al, 2020;Soifer, Rossi & Saetrom, 2007) NetworkAnalyst (https://www.networkanalyst.ca/) was used to analyze gene-TF interaction (ENCODE database) and gene-miRNA interaction (miRTarBase v8.0 database) (Xia, Gill & Hancock, 2015) and was visualized using Cytoscape.…”
Section: Construction Of Target Gene-mirna Network and Target Genetranscription Factor (Tf) Networkmentioning
confidence: 99%