Ning Zhao1, Guang Zheng2, Jian Li3, Hong-Yan Zhao4, Cheng Lu1, Miao Jiang1, Chi Zhang1, Hong-Tao Guo1, Ai-Ping Lu5. 1. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China. 2. School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China. 3. School of Basic Medical Sciences, Beijing University of Chinese Medicine, Beijing, 100029, China. 4. Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China. 5. School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China. lap64067611@126.com.
Abstract
OBJECTIVE: To identify the commonalities between rheumatoid arthritis (RA) and diabetes mellitus (DM) to understand the mechanisms of Chinese medicine (CM) in different diseases with the same treatment. METHODS: A text mining approach was adopted to analyze the commonalities between RA and DM according to CM and biological elements. The major commonalities were subsequently verified in RA and DM rat models, in which herbal formula for the treatment of both RA and DM identified via text mining was used as the intervention. RESULTS: Similarities were identified between RA and DM regarding the CM approach used for diagnosis and treatment, as well as the networks of biological activities affected by each disease, including the involvement of adhesion molecules, oxidative stress, cytokines, T-lymphocytes, apoptosis, and inflammation. The Ramulus Cinnamomi-Radix Paeoniae Alba-Rhizoma Anemarrhenae is an herbal combination used to treat RA and DM. This formula demonstrated similar effects on oxidative stress and inflammation in rats with collagen-induced arthritis, which supports the text mining results regarding the commonalities between RA and DM. CONCLUSION: Commonalities between the biological activities involved in RA and DM were identified through text mining, and both RA and DM might be responsive to the same intervention at a specific stage.
OBJECTIVE: To identify the commonalities between rheumatoid arthritis (RA) and diabetes mellitus (DM) to understand the mechanisms of Chinese medicine (CM) in different diseases with the same treatment. METHODS: A text mining approach was adopted to analyze the commonalities between RA and DM according to CM and biological elements. The major commonalities were subsequently verified in RA and DMrat models, in which herbal formula for the treatment of both RA and DM identified via text mining was used as the intervention. RESULTS: Similarities were identified between RA and DM regarding the CM approach used for diagnosis and treatment, as well as the networks of biological activities affected by each disease, including the involvement of adhesion molecules, oxidative stress, cytokines, T-lymphocytes, apoptosis, and inflammation. The Ramulus Cinnamomi-Radix Paeoniae Alba-Rhizoma Anemarrhenae is an herbal combination used to treat RA and DM. This formula demonstrated similar effects on oxidative stress and inflammation in rats with collagen-induced arthritis, which supports the text mining results regarding the commonalities between RA and DM. CONCLUSION: Commonalities between the biological activities involved in RA and DM were identified through text mining, and both RA and DM might be responsive to the same intervention at a specific stage.
Entities:
Keywords:
Chinese medicine; diabetes mellitus; different diseases with same treatment; rheumatoid arthritis; text mining
Authors: Sam Zaremba; Mila Ramos-Santacruz; Thomas Hampton; Panna Shetty; Joel Fedorko; Jon Whitmore; John M Greene; Nicole T Perna; Jeremy D Glasner; Guy Plunkett; Matthew Shaker; David Pot Journal: BMC Bioinformatics Date: 2009-06-10 Impact factor: 3.169