지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 남혜정
- 발행연도
- 2023
- 저작권
- 경희대학교 논문은 저작권에 의해 보호받습니다.
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초록· 키워드
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Background
This study used a network pharmacology approach to explore the active compounds and therapeutic mechanisms of Yijin-tang on Meniere''s disease.
Methods
The active compounds of Yijin-tang were screened via the TCMSP database and their target proteins were screened via the STITCH database. The GeneCard was used to establish the Meniere''s disease-related genes. The intersection targets were obtained through Venny2.1.0. The related protein interaction network was constructed with the STRING database, and topology analysis was performed through CytoNCA. GO biological function analysis and KEGG enrichment analysis for core targets were performed through the ClueGO.
Results
Network analysis identified 126 compounds in five herbal medicines of Yijin-tang. Among them, 15 compounds(naringenin, beta-sitosterol, Stigmasterol, baicalein, Baicalin, Calycosin, Dihydrocapsaicin, formononetin, Glabridin, isorhamnetin, kaempferol, Mairin, quercetin, sitosterol, nobiletin) were the key chemicals. The target proteins were 119, and 7 proteins(TNF, CASP9, PARP1, CCL2, CFTR, NOS2, NOS1) were linked to Meniere''s disease-related genes. Core genes in this network were TNF, CASP9, and NOS2. GO/KEGG pathway analysis results indicate that these targets are primarily involved in regulating biological processes, such as such as excitotoxicity, oxidative stress, and apoptosis.
Conclusion
Pharmacological network analysis can help to explain the applicability of Yijin-tang on Meniere''s disease.
This study used a network pharmacology approach to explore the active compounds and therapeutic mechanisms of Yijin-tang on Meniere''s disease.
Methods
The active compounds of Yijin-tang were screened via the TCMSP database and their target proteins were screened via the STITCH database. The GeneCard was used to establish the Meniere''s disease-related genes. The intersection targets were obtained through Venny2.1.0. The related protein interaction network was constructed with the STRING database, and topology analysis was performed through CytoNCA. GO biological function analysis and KEGG enrichment analysis for core targets were performed through the ClueGO.
Results
Network analysis identified 126 compounds in five herbal medicines of Yijin-tang. Among them, 15 compounds(naringenin, beta-sitosterol, Stigmasterol, baicalein, Baicalin, Calycosin, Dihydrocapsaicin, formononetin, Glabridin, isorhamnetin, kaempferol, Mairin, quercetin, sitosterol, nobiletin) were the key chemicals. The target proteins were 119, and 7 proteins(TNF, CASP9, PARP1, CCL2, CFTR, NOS2, NOS1) were linked to Meniere''s disease-related genes. Core genes in this network were TNF, CASP9, and NOS2. GO/KEGG pathway analysis results indicate that these targets are primarily involved in regulating biological processes, such as such as excitotoxicity, oxidative stress, and apoptosis.
Conclusion
Pharmacological network analysis can help to explain the applicability of Yijin-tang on Meniere''s disease.
목차
Ⅰ. 서론 ··················································································································· 1Ⅱ. 연구 방법 ·········································································································· 31. 이진탕의 활성 성분 수집 ············································································· 42. 이진탕의 활성 성분의 타겟 단백질 수집 ······················································ 53. 메니에르병 연관 단백질 수집 ······································································ 64. 교차 타겟 단백질 확인 ················································································ 65. Protein-Protein Interaction(PPI) 및 Core Genes 분석 ·································· 76. Gene Ontology(GO) 및 Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway 분석 ····························································································· 9Ⅲ. 결과 ················································································································· 101. 이진탕의 활성 성분 및 타겟 단백질 ·························································· 102. 메니에르병 연관 단백질 ············································································ 143. 단백질 표적 간 교차 분석 ········································································· 154. Protein-Protein Interaction(PPI) network 분석 및 Core Genes 추출 ···················································································································· 165. Gene Ontology(GO) 및 Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway 분석 ··························································································· 18Ⅳ. 고찰 ················································································································· 21Ⅴ. 결론 ················································································································· 34참고문헌 ················································································································ 35부록 ······················································································································· 53Abstract ················································································································ 64
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