ArticleDigestive diseases and sciences2021
Identification of Significant Genes and Pathways in Acute Pancreatitis via Bioinformatical Analysis.
Article in Digestive diseases and sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Identification of autophagy-related key biomarkers in caerulein induced acute pancreatitis: In silico and in vivo study.PloS one · 2026Article
- CLDN4 promotes ferroptosis and inflammation involving JAK2/STAT3 pathway in acute pancreatitis.Functional & integrative genomics · 2025Article
- Identification of novel biomarkers based on lipid metabolism-related molecular subtypes for moderately severe and severe acute pancreatitis.Lipids in health and disease · 2024Article
- Expression and Targeted Application of Claudins Family in Hepatobiliary and Pancreatic Diseases.Journal of hepatocellular carcinoma · 2024Review
- Claudin-4: A New Molecular Target for Epithelial Cancer Therapy.International journal of molecular sciences · 2023Review
- Fabp5 is a common gene between a high-cholesterol diet and acute pancreatitis.Frontiers in nutrition · 2023Article
- Claudin and pancreatic cancer.Frontiers in oncology · 2023Review
- Article
- Polypharmacology-based approach for screening TCM against coinfection ofFrontiers in veterinary science · 2022Article
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsAcute pancreatitis (AP) is one of the common acute abdominal diseases with complicated pathogenesis. The purpose of this study is to identify the differentially expressed genes (DEGs) in the pancreas and underlying mechanisms.
methodsGene expression profiles of GSE109227 and GSE65146 were available from GEO database. Then, an integrated analysis of these genes was performed, including gene ontology (GO) and KEGG pathway enrichment analysis, protein-protein interaction (PPI) network construction, core gene correlation analysis, transcription factors (TFs) prediction, and expression level evaluation in human organs.
resultsA total number of 92 differential expressed genes were screened from the datasets, including 81 up-regulated genes and 11 down-regulated genes. The up-regulated genes were mainly enriched in the biological process, such as sarcomere organization, actin cytoskeleton organization, tumor necrosis factor biosynthetic process, response to cytokine, cell-cell adhesion, and the cell migration, and also involved in some signaling pathways, including leukocyte transendothelial migration, proteoglycans in cancer, thyroid cancer, cell adhesion, tight junction, bladder cancer, amoebiasis, glycerolipid metabolism, and VEGF signaling pathway, while down-regulated genes were significantly enriched in the endoplasmic reticulum unfolded protein response, the oxidation-reduction, and no significant signaling pathways. CDH1 and CLDN4 were identified as core genes by PPI network analysis with MCODE plug-in, as well as GO and KEGG re-enrichment. For validation in Gene Expression Profiling Interactive Analysis (GEPIA), CDH1 and CLDN4 were interacting with each other and regulated by the predictive common TFs FOXP3 or USF2. The two core genes and USF2 were expressed in varied human organs including the pancreas, while FOXP3 was not detected in the normal human pancreatic tissues.
conclusionsThis study implied that core gene CDH1 and CLDN4, which might be regulated by FOXP3 or USF2, played a significant role in acute pancreatitis. They could be potential diagnostic and therapeutic targets for AP patients.
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