https://scholar.dgist.ac.kr/handle/20.500.11750/333 2026-04-04T16:38:02Z https://scholar.dgist.ac.kr/handle/20.500.11750/59009 Title: Identification of Key Regulators for Resolution of Chronic Inflammatory Arthritis through a Systems Approach Author(s): Kong, Jin-Sun; Park, Jihwan; Yoo, Seung-Ah; Koh, Jung Hee; Hwang, Daehee; Kim, Wan-Uk Abstract: Background/Purpose: Collagen-induced arthritis(CIA), a representative animal model of chronic inflammatory arthritis, follows phases of induction, peak of inflammation and resolution. This study aims to identify the key regulator genes that change with time course in animal models of rheumatoid arthritis through dynamics analysis. Methods: We first investigated gene expression profiles in the synovial tissues of mice with CIA at early, peak, resolution phase of arthritis using microarray analysis and identified differentially expressed genes (DEGs) associated with arthritis resolution. We built a resolution-associated network model describing interactions among these DEGs and then selected three hub-like genes from the network model, which can significantly contribute to regulating function of the resolution-associated network. We examined the level of gene expression in the synovial tissues and the function of selected genes in resolution of CIA. Results: From time-course gene expression profiles of CIA synovial tissues, we identified 2237 resolution-related genes, and found that these genes were significantly associated with Toll-like receptor and T and B cell receptor signaling pathways. Network analysis of these resolution-related genes further selected three hub genes, Itgb1, RPS3 and YwhaZ, that can be predominantly responsible for arthritis resolution. These genes were highly expressed in independent synovial tissues at resolution phase. Particularly, the expression of Itgb1, RPS3 and YwhaZ was elevated in regulatory T cells and alternatively-activated macrophages (M2) that are involved in restoration of chronic inflammation. Moreover, recombinant Itgb1, RPS3, and YwhaZ dose-dependently reduced pro-inflammatory cytokine expression in peritoneal macrophages and splenocytes. To test a potential application of proteins from selected genes for detecting the arthritis resolution, the levels of proteins from the selected genes also were analyzed in mice serum and urine of patients with rheumatoid arthritis (RA). As a result, serum YwhaZ concentration was higher at resolution phase than at peak phase among the three proteins from selected genes. Additionally, YwhaZ concentrations in the urine of patients with rheumatoid arthritis were associated with the degree of treatment response; YwhaZ levels increased significantly after treatment in good response group (n=23) while the protein level before and after treatment were not different in moderate (n=12) or none (n=25) response group. Conclusion: Our comprehensive analysis of gene profile contributing to arthritis resolution reveals novel anti-arthritic genes, tgb1, RPS3, and YwhaZ. We anticipate that tgb1, RPS3 and YwhaZ will be novel targets for predict the arthritis resolution and could be therapeutic targets for choric inflammatory arthritis. 2017-11-05T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/56374 Title: Proteomics in Rheumatoid Arthritis Research Author(s): Park, Yune-Jung; Chung, Min Kyung; Hwang, Dae Hee; Kim, Wan-Uk Abstract: Although rheumatoid arthritis (RA) is the most common chronic inflammatory autoimmune disease, diagnosis of RA is currently based on clinical manifestations, and there is no simple, practical assessment tool in the clinical field to assess disease activity and severity. Recently, there has been increasing interest in the discovery of new diagnostic RA biomarkers that can assist in evaluating disease activity, severity, and treatment response. Proteomics, the largescale study of the proteome, has emerged as a powerful technique for protein identification and characterization. For the past 10 years, proteomic techniques have been applied to different biological samples (synovial tissue/fluid, blood, and urine) from RA patients and experimental animal models. In this review, we summarize the current state of the application of proteomics in RA and its importance in identifying biomarkers and treatment targets. 2015-07-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/47177 Title: How do plants age and die - some new insights Author(s): 김효정; 임준현; Timilsina, Rupak; 박지환; 홍성현; Jung, Sukjoon; 김진희; Woo, Hye Ryun; Lim, Pyung Ok; Hwang, Daehee; Nam, Hong Gil 2017-07-23T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/17055 Title: 당뇨병 진단용 조성물, 키트 및 이를 이용한 당뇨병의 진단을 위한 바이오마커의 검출 방법 Author(s): 이영균; 안병용; 이상원; 박경수; 황대희; 채세현; 박영주; 강학철; 구영도; 김수진 Abstract: 당뇨병 진단용 조성물, 키트, 및 이를 이용한 당뇨병의 진단에 필요한 정보를 제공하기 위하여 SORT1, CALR, 및 RAB1A로 이루어진 군으로부터 선택된 단백질 또는 이의 단편을 검출하는 방법을 제공한다. 이에 따르면, 당뇨병, 예를 들어 제2형 당뇨병을 간편하고, 높은 정확도 및 특이도로 진단하는데 이용할 수 있고, 당뇨병의 진행 경과를 예측하는 바이오마커로 이용할 수 있고, 당뇨병 치료의 새로운 치료 표적으로 이용하여 당뇨병의 예방 또는 치료에 효과가 있는 물질을 스크리닝할 수 있다. 2018-10-28T15:00:00Z