Text Mining of Rheumatoid Arthritis and Diabetes Mellitus to Understand the Mechanisms of Chinese Medicine in Different Diseases with Same Treatment

Ning Zhao; Guang Zheng; Jian Li; Hong-yan Zhao; Cheng Lu; Miao Jiang; Chi Zhang; Hong-tao Guo; Ai-ping Lu

doi:10.1007/s11655-018-2825-x

Your Location：

Home >

Browse articles >

Text Mining of Rheumatoid Arthritis and Diabetes Mellitus to Understand the Mechanisms of Chinese Medicine in Different Diseases with Same Treatment

OriginalPaper | Updated：2021-08-27

- Text Mining of Rheumatoid Arthritis and Diabetes Mellitus to Understand the Mechanisms of Chinese Medicine in Different Diseases with Same Treatment
- Text Mining of Rheumatoid Arthritis and Diabetes Mellitus to Understand the Mechanisms of Chinese Medicine in Different Diseases with Same Treatment
- 中国结合医学杂志（英文版） 2018年24卷第10期页码：777-784
- Affiliations：
  
  1. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences,Beijing,China
  2. School of Information Science and Engineering, Lanzhou University,Lanzhou,China
  3. School of Basic Medical Sciences, Beijing University of Chinese Medicine,Beijing,China
  4. Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences,Beijing,China
  5. School of Chinese Medicine, Hong Kong Baptist University,Hong Kong SAR,China
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (No. 81573845, 81473367, 81403209, 30825047), China Academy of Chinese Medical Sciences Project (No. Z0412), and Beijing Nova Program (No. xx2014B073)
- DOI：10.1007/s11655-018-2825-x
  中图分类号：
- 纸质出版日期：2018，
  
  网络出版日期：2018-1-9，
Scan for full text
Zhao, N., Zheng, G., Li, J. et al. Text Mining of Rheumatoid Arthritis and Diabetes Mellitus to Understand the Mechanisms of Chinese Medicine in Different Diseases with Same Treatment., Chin. J. Integr. Med. 24, 777–784 (2018). https://doi.org/10.1007/s11655-018-2825-x

Ning Zhao, Guang Zheng, Jian Li, et al. Text Mining of Rheumatoid Arthritis and Diabetes Mellitus to Understand the Mechanisms of Chinese Medicine in Different Diseases with Same Treatment[J]. Chinese Journal of Integrative Medicine, 2018,24(10):777-784.
Zhao, N., Zheng, G., Li, J. et al. Text Mining of Rheumatoid Arthritis and Diabetes Mellitus to Understand the Mechanisms of Chinese Medicine in Different Diseases with Same Treatment., Chin. J. Integr. Med. 24, 777–784 (2018). https://doi.org/10.1007/s11655-018-2825-x DOI：

Ning Zhao, Guang Zheng, Jian Li, et al. Text Mining of Rheumatoid Arthritis and Diabetes Mellitus to Understand the Mechanisms of Chinese Medicine in Different Diseases with Same Treatment[J]. Chinese Journal of Integrative Medicine, 2018,24(10):777-784. DOI： 10.1007/s11655-018-2825-x.

摘要

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. 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. 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. 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.

Abstract

as well as the networks of biological activities affected by each disease

including the involvement of adhesion molecules

oxidative stress

cytokines

T-lymphocytes

apoptosis

which supports the text mining results regarding the commonalities between RA and DM. 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.

关键词

text miningrheumatoid arthritisdiabetes mellitusdifferent diseases with same treatmentChinese Medicine

Keywords

text miningrheumatoid arthritisdiabetes mellitusdifferent diseases with same treatmentChinese Medicine

references

Eisenberg DM, Kaptchuk TJ, Laine C, Davidoff F. Complementary and alternative medicine—an annals series. Ann Intern Med 2001;135:208.

Lu AP, Jia HW, Xiao C, Lu QP. Theory of traditional Chinese medicine and therapeutic method of diseases. World J Gastroenterol 2004;10:1854–1856.

Lu AP, Li S. Principle and application of Chinese medicine syndrome differentiation and disease classification. Chin J Integr Tradit West Med (Chin) 2010;30:84–86.

Jiang M, Xiao C, Chen G, Lu C, Zha Q, Yan X, et al. Correlation between cold and hot pattern in traditional Chinese medicine and gene expression profiles in rheumatoid arthritis. Front Med 2011;5:219–228.

Lu C, Zha Q, Chang A, He Y, Lu A. Pattern differentiation in traditional Chinese medicine can help define specific indications for biomedical therapy in the treatment of rheumatoid arthritis. J Altern Complement Med 2009;15:1021–1025.

Zheng G, Jiang M, He X, Zhao J, Guo H, Chen G, et al. Discrete derivative: a data slicing algorithm for exploration of sharing biological networks between rheumatoid arthritis and coronary heart disease. BioData Min 2011;4:18.

Harmston N, Filsell W, Stumpf MP. What the papers say: text mining for genomics and systems biology. Human Genomics 2010;5:17–29.

Wasko MC, Kay J, Hsia EC, Rahman MU. Diabetes mellitus and insulin resistance in patients with rheumatoid arthritis: risk reduction in a chronic inflammatory disease. Arthritis Care Res 2011;63:512–521.

Liu YS. New usage of Zhibai Dihuang Pill. Gansu J Chin Med (Chin) 2010;23:11–12.

Berry M, Castellanos M, eds. Survey of text mining?. London: Springer Verlag; 2008:21–22.

Agarwal P, Searls DB. Literature mining in support of drug discovery. Brief Bioinf 2008;9:479–492.

Hopkins AL. Network pharmacology: the next paradigm in drug discovery. Nat Chem Biol 2008;4:682–690.

Li S, Zhang B, Zhang N. Network target for screening synergistic drug combinations with application to traditional Chinese medicine. BMC Syst Biol 2011;5(Suppl 1):S10.

Xiao C, Li J, Dong X, He X, Niu X, Liu C, et al. Antioxidative and TNF-alpha suppressive activities of puerarin derivative (4AC) in RAW264.7 cells and collagen-induced arthritic rats. Eur J Pharm 2011;666:242–250.

Reed MJ, Meszaros K, Entes LJ, Claypool MD, Pinkett JG, Gadbois TM, et al. A new rat model of type 2 diabetes: the fat-fed, streptozotocin-treated rat. Metabolism 2000;49:1390–1394.

Lu AP, Chen KJ. Pondering on syndrome differentiation of diseases. Chin J Integr Tradit West Med (Chin) 2005;25:843–845.

Gan XJ. Aplication of different diseases with same treatment in blood disease. J Emerg Tradit Chin Med (Chin) 2010;19:795.

Wang D, Shang XL. Prevention and control on the geriatrics with Liuwei Dihuang Pill. Chin J Gerontol (Chin) 2011;31:524–527.

Graf S, Schumm-Draeger PM. Diabetes and rheumatism: is diabetes mellitus also an inflammatory disease? Z Rheumatol 2011;70:747–751.

Li S, Zhang B, Jiang D, Wei YY, Zhang NB. Herb network construction and co-module analysis for uncovering the combination rule of traditional Chinese herbal formulae. BMC Bioinf 2010;11(Suppl 11):S6.

Zaremba S, Ramos-Santacruz M, Hampton T, Shetty P, Fedorko J, Whitmore J, et al. Text-mining of PubMed abstracts by natural language processing to create a public knowledge base on molecular mechanisms of bacterial enteropathogens. BMC Bioinf 2009;10:177.

Cohen AM, Hersh WR. A survey of current work in biomedical text mining. Brief Bioinf 2005;6:57–71.

Angelotti F, Parma A, Cafaro G, Capecchi R, Alunno A, Puxeddu I. One year in review 2017: pathogenesis of rheumatoid arthritis. Clin Exp Rheumatol 2017;35:368–378.

Xia C, Rao X, Zhong J. Role of T lymphocytes in type 2 diabetes and diabetes-associated inflammation. J Diabetes Res 2017;2017:6494795.

Arend WP. Physiology of cytokine pathways in rheumatoid arthritis. Arthrit Rheum 2001;45:101–106.

Hata H, Sakaguchi N, Yoshitomi H, Iwakura Y, Sekikawa K, Azuma Y, et al. Distinct contribution of IL-6, TNF-alpha, IL-1, and IL-10 to T cell-mediated spontaneous autoimmune arthritis in mice. J Clin Invest 2004;114:582–588.

King GL. The role of inflammatory cytokines in diabetes and its complications. J Periodontol 2008;79:1527–1534.

Cardellini M, Perego L, D’Adamo M, Marini MA, Procopio C, Hribal ML, et al. C-174G polymorphism in the promoter of the interleukin-6 gene is associated with insulin resistance. Diabetes Care 2005;28:2007–2012.

Arroul-Lammali A, Rahal F, Chetouane R, Djeraba Z, Medjeber O, Ladjouze-Rezig A, et al. Ex vivo all-trans retinoic acid modulates NO production and regulates IL-6 effect during rheumatoid arthritis: a study in Algerian patients. Immunopharmacol Immunotoxicol 2017;39:87–96.

Kumar S, Singh RK, Bhardwaj TR. Therapeutic role of nitric oxide as emerging molecule. Biomed Pharmacother 2017;85:182–201.

Baier A, Meineckel I, Gay S, Pap T. Apoptosis in rheumatoid arthritis. Curr Opin Rheumatol 2003;15:274–279.

Pap T, Muller-Ladner U, Gay RE, Gay S. Fibroblast biology. Role of synovial fibroblasts in the pathogenesis of rheumatoid arthritis. Arthritis Res 2000;2:361–367.

Davidson SM, Duchen MR. Endothelial mitochondria: contributing to vascular function and disease. Circ Res 2007;100:1128–1141.

Visser H. Early diagnosis of rheumatoid arthritis. Best Pract Res Clin Rheumatol 2005;19:55–72.

Lee YH, Bae SC. Intercellular adhesion molecule-1 polymorphisms, K469E and G261R and susceptibility to vasculitis and rheumatoid arthritis: a meta-analysis. Cell Mol Biol 2016;62:84–90.

McMurray RW. Adhesion molecules in autoimmune disease. Semin Arthrit Rheum 1996;25:215–233.

FULL TEXT LINK

More>

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

Effect of Guizhi Decoction (桂枝汤) on heart rate variability and regulation of cardiac autonomic nervous imbalance in diabetes mellitus rats

Jiaotai pill (交泰丸) enhances insulin signaling through phosphatidylinositol 3-kinase pathway in skeletal muscle of diabetic rats

How does Chinese medicine target cytokine imbalance in rheumatoid arthritis?

A one-year evaluation of radiographic progression in patients with rheumatoid arthritis treated by Qingre Huoxue Decoction (清热活血方)

The potential role of Chinese medicine in ameliorating extra-articular manifestations of rheumatoid arthritis