Discrete derivative: a data slicing algorithm for exploration of sharing biological networks between rheumatoid arthritis and coronary heart disease

Abstract

BackgroundOne important concept in traditional Chinese medicine (TCM) is "treating different diseases with the same therapy". In TCM practice, some patients with Rheumatoid Arthritis (RA) and some other patients with Coronary Heart Disease (CHD) can be treated with similar therapies. This suggests that there might be something commonly existed between RA and CHD, for example, biological networks or biological basis. As the amount of biomedical data in leading databases (i.e., PubMed, SinoMed, etc.) is growing at an exponential rate, it might be possible to get something interesting and meaningful through the techniques developed in data mining.ResultsBased on the large data sets of Western medicine literature (PubMed) and traditional Chinese medicine literature (SinoMed), by applying data slicing algorithm in text mining, we retrieved some simple and meaningful networks. The Chinese herbs used in treatment of both RA and CHD, might affect the commonly existed networks between RA and CHD. This might support the TCM concept of treating different diseases with the same therapy.ConclusionsFirst, the data mining results might show the positive answer that there are biological basis/networks commonly existed in both RA and CHD. Second, there are basic Chinese herbs used in the treatment of both RA and CHD. Third, these commonly existed networks might be affected by the basic Chinese herbs. Forth, discrete derivative, the data slicing algorithm is feasible in mining out useful data from literature of PubMed and SinoMed.

Application of acupuncture on coronary heart disease treatment: A text mining study

“…As publications on effective personalized treatment in acupuncture accumulated over years, it is getting more and more difficult for acupuncture doctors to grasp them all, it is pressing and challenging to mine meaningful topics from massive literature in order to help researchers to explore literature. However, with the newly developed techniques of text mining, together with powerful computers and high speed internet, it is now possible to read the literatures by machines and then report the text mining results [6,7].…”

An integrative approach of linking traditional Chinese medicine pattern classification and biomedicine diagnosis

“…The advances of "Omics" revolution and methodology in modern life science, bioinformatics and systems biology have offered an opportunity to integrate multi-dimensional and various types of data, in the new era of the medical and biological sciences Zheng et al, 2011). Capturing these unprecedented opportunities and challenges, bioinformatics and systems biology approaches are expected to open the way to a new convergence of TCM and OM in both concept and methodology.…”

Interactions between Phytochemicals from Traditional Chinese Medicines and Human Cytochrome P450 Enzymes

“…We reviewed the most commonly used herbs in TCM by applying text mining [31], and included danshen, ginseng, gingko, Ginkgo biloba, milk veteh, dong quai, kava kava, licorice, Chuanxiong, Sanqi, Tripterygium wilfordii, Schisandra chinensis, Coptis chinensis, aconite root, corydalis, Milk Thistle, flavonoids and polyphenols from plants and diet. These herbs are commonly used in the treatment of chronic heart disease (CHD), cerebral infarction, diabetes B, chronic obstructive pulmonary disease (COPD), depression, rheumatoid arthritis (RA), aplastic anemia, acquired immune deficiency syndrome (AIDS) and IgA nephropathy.…”