• Animal Bioscience
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• v.37 no.2
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• pp.193-202
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• 2024

Objective: Oxidative stress (OS) is a pathological process arising from the excessive production of free radicals in the body. It has the potential to alter animal gene expression and cause damage to the jejunum. However, there have been few reports of changes in the expression of long noncoding RNAs (lncRNAs) in the jejunum in piglets under OS. The purpose of this research was to examine how lncRNAs in piglet jejunum change under OS. Methods: The abdominal cavities of piglets were injected with diquat (DQ) to produce OS. Raw reads were downloaded from the SRA database. RNA-seq was utilized to study the expression of lncRNAs in piglets under OS. Additionally, six randomly selected lncRNAs were verified using quantitative real-time polymerase chain reaction (qRT-PCR) to examine the mechanism of oxidative damage. Results: A total of 79 lncRNAs were differentially expressed (DE) in the treatment group compared to the negative control group. The target genes of DE lncRNAs were enriched in gene ontology (GO) terms and Kyoto encyclopedia of genes and genomes (KEGG) signaling pathways. Chemical carcinogenesis-reactive oxygen species, the Foxo signaling pathway, colorectal cancer, and the AMPK signaling pathway were all linked to OS. Conclusion: Our results demonstrated that DQ-induced OS causes differential expression of lncRNAs, laying the groundwork for future research into the processes involved in the jejunum's response to OS.

• The Journal of Korean Medicine
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• v.45 no.2
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• pp.23-40
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• 2024

Objectives: This study utilized a network pharmacology approach to investigate the potential therapeutic effects and underlying mechanisms of Daehwangmokdanpi-tang (DHMDPT) in diabetic cognitive disorder (DCD). Methods: The compounds of DHMDPT and their target genes were obtained from the OASIS and PubChem databases. These putative target genes were compared with known targets of DCD to identify potential correlations. Using Cytoscape 3.10.2, a network was constructed to highlight key target genes. To further elucidate the underlying mechanisms, functional enrichment analysis was performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Finally, CB-DOCK was used to assess binding affinities and confirm the interactions. Results: The results showed that a total of 27 compounds and 439 related genes were identified from DHMDPT. Among these, 373 genes interacted with the DCD gene set, indicating a close relationship between the effects of DHMDPT and DCD. Through GO enrichment analysis and KEGG pathways, 'Regulation of Apoptotic Process', 'Cytokine-Mediated signaling pathway', and 'AGE-RAGE signaling pathway in diabetic complications' were identified as the functional pathways of the 18 key target genes of DHMDPT on DCD. Additionally, molecular docking was performed to assess the binding affinities of the six most highly associated key target genes of DCD with active compounds. Conclusions: Using a network pharmacology approach, which included molecular docking, DHMDPT was found to be highly relevant to DCD. This study could serve as a foundation for further research on the cognitive enhancement effects of DHMDPT in DCD.

• The Journal of Korean Medicine
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• v.45 no.2
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• pp.55-73
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• 2024

Objectives: In this study, we used network-based systems pharmacology analysis and molecular docking methods to predict the therapeutic mechanism of Scutellariae Radix on viral pneumonia. Methods: We screened active components of Scutellariae Radix and its' genes by TCMSP. Also, we extracted viral pneumonia related target genes through Gene Cards, CTD and DisGeNet. To construct Protein-protein Interaction, STRING database was used. For functional enrichment, using SRplot platform, genes were classified by 3 categories: cellular component (CC), molecular function (MF) and biological process (BP). Molecular docking was conducted by AutoDockTools (version 4.2.6). Results: 32 Network-based systematic pharmacology analysis identified 37 target genes associated with baicalein. Based on the network and gene ontology analysis of the active ingredient's target genes and disease target genes, we identified nine core genes (AKT1, BAX, BCL2, CASP3, HIF1A, PTGS2, RELA, TP53, VEGFA) and HSP90 as involved. Notably, HIF1A showed the highest relevance, overlapping with two or more utilized programs. Hypoxia-inducible factor 1-alpha (HIF-1α) has been implicated in the expression of inflammatory cytokines, the induction of hypoxia, and the triggering of cytokine storms. Baicalein, a major component of SR, binds to both HIF-1α and HSP90, suggesting that it may be a possible targeted treatment for viral pneumonia. Conclusions: Baicalein may bind to HIF-1α to control inflammation caused by viral infectious diseases and may also regulate hypoxic conditions to prevent impairment of lung function caused by an overactive immune system. These findings suggest further research into the molecular mechanisms involved in hypoxia and provide a scientific basis for improving the treatment of viral infectious diseases.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.17 no.2
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• pp.23-42
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• 2006

This is a study of the digital archives of Culturecontent.com where 'Cultural Archetype Contents' are currently in service. One of the major purposes of our study is to point out problems in the current system and eventually propose improvements to the digital archives. The government launched a four-year project for developing the cultural archetype content sources and establishing its related business with the hope of enhancing the nation's competitiveness. More specifically, the project focuses on the production of source materials of cultural archetype contents in the subjects of Korea's history. tradition, everyday life. arts and general geographical books. In addition, through this project, the government also intends to establish a proper distribution system of digitalized culture contents and to control copyright issues. This paper analyzes the digital archives system that stores the culture content data that have been produced from 2002 to 2005 and evaluates the current system's weaknesses and strengths. The summary of our findings is as follows. First. the digital archives system does not contain a semantic search engine and therefore its full function is 1agged. Second, similar data is not classified into the same categories but into the different ones, thereby confusing and inconveniencing users. Users who want to find source materials could be disappointed by the current distributive system. Our paper suggests a better system of digital archives with text mining technology which consists of five significant intelligent process-keyword searches, summarization, clustering, classification and topic tracking. Our paper endeavors to develop the best technical environment for preserving and using culture contents data. With the new digitalized upgraded settings, users of culture contents data will discover a world of new knowledge. The technology we introduce in this paper will lead to the highest achievable digital intelligence through a new framework.