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pmid:34943607

Increased SERPINA3 Level Is Associated with Ulcerative Colitis.

Jingwei Zhang · Wei Wang · Shenglong Zhu · Yongquan Chen

Diagnostics (Basel, Switzerland) · 2021 doi:10.3390/diagnostics11122371

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:34943607
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title
Increased SERPINA3 Level Is Associated with Ulcerative Colitis.
doi
10.3390/diagnostics11122371
pmid
34943607
authors array · 4 items
[0]
Jingwei Zhang
[1]
Wei Wang
[2]
Shenglong Zhu
[3]
Yongquan Chen
journal
Diagnostics (Basel, Switzerland)
year
2021
abstract
Ulcerative colitis (UC) is a recurrent, chronic intestinal disease that is currently incurable. Its pathogenesis remains to be further understood. Therefore, seeking new biomarkers and potential drug targets is urgent for the effective treatment of UC. In this study, the gene expression profile GSE38713 was obtained from the GEO (Gene Expression Omnibus) database. Data normalisation and screening of the differentially expressed genes (DEGs) were conducted using R software, and gene ontology (GO) enrichment was performed using Metascape online tools. The PubMed database was used to screen new genes that have not been reported, and SERPINA3 was selected. The correlation between SERPINA3 and other inflammatory factors was analysed by Spearman correlation analysis. Finally, colitis model mice and an in-vitro model were established to validate the function of the SERPINA3 gene. SERPINA3 gene expression was markedly increased in UC patient samples, colitis models and in-vitro models and showed an association with other inflammatory factors. ROC analysis indicated that SERPINA3 could represent a potential biomarker of active UC. Additionally, silencing SERPINA3 in an in-vitro intestinal epithelial inflammatory model significantly decreased the mRNA level of inflammatory factors. This study provides supportive evidence that SERPINA3 may act as a key biomarker and potential drug target in UC treatment.
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An empirical Bayes method was used to select significant DEGs between UC samples and normal samples based on the “limma” package of Bioconductor (R software, version: 3.4). The Benjamin and Hochberg false discovery rate (FDR) method was used to correct the adjusted p value and correct the occurrence of false-positive results.
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sections[4] "2.2. Identification of Differentially Expressed Genes (DEGs) in UC" paragraph 2
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An empirical Bayes method was used to select significant DEGs between UC samples and normal samples based on the “limma” package of Bioconductor (R software, version: 3.4). The Benjamin and Hochberg false discovery rate (FDR) method was used to correct the adjusted p value and correct the occurrence of false-positive results.
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ROC analysis indicated that SERPINA3 could represent a potential biomarker of active UC.
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ROC analysis indicated that SERPINA3 could represent a potential biomarker of active UC.
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Genome-wide analysis of Crohn's disease and ulcerative colitis biopsy samples.
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An empirical Bayes method was used to select significant DEGs between UC samples and normal samples based on the “limma” package of Bioconductor (R software, version: 3.4). The Benjamin and Hochberg false discovery rate (FDR) method was used to correct the adjusted p value and correct the occurrence of false-positive results.
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In this study, the gene expression profile GSE38713 was obtained from the GEO (Gene Expression Omnibus) database. Data normalisation and screening of the differentially expressed genes (DEGs) were conducted using R software, and gene ontology (GO) enrichment was performed using Metascape online tools. The PubMed database was used to screen new genes that have not been reported, and SERPINA3 was selected. The correlation between SERPINA3 and other inflammatory factors was analysed by Spearman correlation analysis. Finally, colitis model mice and an in-vitro model were established to validate the function of the SERPINA3 gene. SERPINA3 gene expression was markedly increased in UC patient samples, colitis models and in-vitro models and showed an association with other inflammatory factors. ROC analysis indicated that SERPINA3 could represent a potential biomarker of active UC. 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