2016
DOI: 10.1371/journal.pone.0166378
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Identification and Verification of Potential Therapeutic Target Genes in Berberine-Treated Zucker Diabetic Fatty Rats through Bioinformatics Analysis

Abstract: BackgroundBerberine is used to treat diabetes and dyslipidemia. However, the effect of berberine on specific diabetes treatment targets is unknown. In the current study, we investigated the effect of berberine on the random plasma glucose, glycated hemoglobin (HbA1C), AST, ALT, BUN and CREA levels of Zucker diabetic fatty (ZDF) rats, and we identified and verified the importance of potential therapeutic target genes to provide molecular information for further investigation of the mechanisms underlying the ant… Show more

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Cited by 17 publications
(11 citation statements)
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“…By using the STRING (Version 10.0) database (), we identified the direct physical interactions of proteins and their functional interactions (Wu et al, 2016). We uploaded the gene symbols of potential targets and drew a protein–protein interaction (PPI) network graph online to evaluate the interactions among the potential targets.…”
Section: Methodsmentioning
confidence: 99%
“…By using the STRING (Version 10.0) database (), we identified the direct physical interactions of proteins and their functional interactions (Wu et al, 2016). We uploaded the gene symbols of potential targets and drew a protein–protein interaction (PPI) network graph online to evaluate the interactions among the potential targets.…”
Section: Methodsmentioning
confidence: 99%
“…Additionally, KEGG analysis proved that the DEGs were significantly enriched in the PI3K-AKT signaling pathway. Functional annotation of DEGs in the high-dose BBR group is involved in processes in the metabolic process, cellular component organization or biogenesis, and extracellular region [ 25 ].…”
Section: Resultsmentioning
confidence: 99%
“…The GO platform is a bioinformatics resource describing gene product attributes which have three categories, namely, biological process (BP), molecular function (MF), and cellular component (CC) [ 17 ]. We defined the significance of GO enrichment according to a P value, with a cut-off value of 0.05.…”
Section: Methodsmentioning
confidence: 99%