Traditional Chinese medicine: potential approaches from modern dynamical complexity theories

doi:10.1007/s11684-016-0434-2

Frontiers of Medicine

2016, Vol. 10

Issue (1): 28-32 https://doi.org/10.1007/s11684-016-0434-2

本期目录

Traditional Chinese medicine: potential approaches from modern dynamical complexity theories

Yan Ma^1,^*(

),Kehua Zhou^2,³,Jing Fan^1,⁴,Shuchen Sun^5,^*(

)

1. Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
2. Department of Health Care Studies, Daemen College, Amherst, NY 14226, USA
3. Daemen College Physical Therapy Wound Care Clinic, Daemen College, Amherst, NY 14226, USA
4. Department of Orthopedics, Jiangsu Province Hospital of TCM, Nanjing University of Chinese Medicine, Nanjing 210029, China
5. Department of Otolaryngology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China

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Abstract：

Despite the widespread use of traditional Chinese medicine (TCM) in clinical settings, proving its effectiveness via scientific trials is still a challenge. TCM views the human body as a complex dynamical system, and focuses on the balance of the human body, both internally and with its external environment. Such fundamental concepts require investigations using system-level quantification approaches, which are beyond conventional reductionism. Only methods that quantify dynamical complexity can bring new insights into the evaluation of TCM. In a previous article, we briefly introduced the potential value of Multiscale Entropy (MSE) analysis in TCM. This article aims to explain the existing challenges in TCM quantification, to introduce the consistency of dynamical complexity theories and TCM theories, and to inspire future system-level research on health and disease.

Key words： traditional Chinese medicine quantification dynamical complexity system level balance modern sciences

收稿日期: 2015-09-11 出版日期: 2016-03-31

Corresponding Author(s): Yan Ma,Shuchen Sun

引用本文:

. [J]. Frontiers of Medicine, 2016, 10(1): 28-32.
Yan Ma,Kehua Zhou,Jing Fan,Shuchen Sun. Traditional Chinese medicine: potential approaches from modern dynamical complexity theories. Front. Med., 2016, 10(1): 28-32.

链接本文:

https://academic.hep.com.cn/fmd/CN/10.1007/s11684-016-0434-2
https://academic.hep.com.cn/fmd/CN/Y2016/V10/I1/28

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1	Anderson PW. More is different. Science 1972; 177(4047): 393–396 https://doi.org/10.1126/science.177.4047.393 pmid: 17796623
2	Koch C, Laurent G. Complexity and the nervous system. Science 1999; 284(5411): 96–98 https://doi.org/10.1126/science.284.5411.96 pmid: 10102826
3	Weng G, Bhalla US, Iyengar R. Complexity in biological signaling systems. Science 1999; 284(5411): 92–96 https://doi.org/10.1126/science.284.5411.92 pmid: 10102825
4	Germain RN. The art of the probable: system control in the adaptive immune system. Science 2001; 293(5528): 240–245 https://doi.org/10.1126/science.1062946 pmid: 11452112
5	Choffnes ER, Relman DA, Pray L. The Science and Applications of Synthetic and Systems Biology: Workshop Summary. Washington DC: National Academy of Sciences, 2011
6	Leshner A. A middle way for traditional medicine. Science 2014; 346(6216): S3
7	Luo G, Liu Q, Liang Q, Wang Y. Systems Biology for Traditional Chinese Medicine. John Wiley & Sons, Inc., 2012
8	Costa M, Goldberger AL, Peng CK. Multiscale entropy analysis of biological signals. Phys Rev E Stat Nonlin Soft Matter Phys 2005; 71(2 Pt 1): 021906 https://doi.org/10.1103/PhysRevE.71.021906 pmid: 15783351
9	Goldberger AL, Amaral LA, Hausdorff JM, Ivanov PC, Peng CK, Stanley HE. Fractal dynamics in physiology: alterations with disease and aging. Proc Natl Acad Sci USA 2002; 99(Suppl 1): 2466–2472 https://doi.org/10.1073/pnas.012579499 pmid: 11875196
10	Peng CK, Costa M, Goldberger AL. Adaptive data analysis of complex fluctuations in physiologic time series. Adv Adapt Data Anal 2009; 1(1): 61–70 https://doi.org/10.1142/S1793536909000035 pmid: 20041035
11	Goldberger AL, Peng CK, Lipsitz LA. What is physiologic complexity and how does it change with aging and disease? Neurobiol Aging 2002; 23(1): 23–26 https://doi.org/10.1016/S0197-4580(01)00266-4 pmid: 11755014
12	Costa M, Goldberger AL, Peng CK. Multiscale entropy analysis of complex physiologic time series. Phys Rev Lett 2002; 89(6): 068102 https://doi.org/10.1103/PhysRevLett.89.068102 pmid: 12190613
13	Nyquist H. Thermal agitation of electric charge in conductors. Phys Rev 1928; 32(1): 110–113 https://doi.org/10.1103/PhysRev.32.110
14	Lipsitz LA, Goldberger AL. Loss of ‘complexity’ and aging. Potential applications of fractals and chaos theory to senescence. JAMA 1992; 267(13): 1806–1809 https://doi.org/10.1001/jama.1992.03480130122036 pmid: 1482430
15	Ma Y, Sun S, Peng CK. Applications of dynamical complexity theory in traditional Chinese medicine. Front Med 2014; 8(3): 279–284 https://doi.org/10.1007/s11684-014-0367-6 pmid: 25204292
16	Manor B, Lipsitz LA, Wayne PM, Peng CK, Li L. Complexity-based measures inform Tai Chi’s impact on standing postural control in older adults with peripheral neuropathy. BMC Complement Altern Med 2013; 13(1): 87 https://doi.org/10.1186/1472-6882-13-87 pmid: 23587193
17	Wayne PM, Gow BJ, Costa MD, Peng CK, Lipsitz LA, Hausdorff JM, Davis RB, Walsh JN, Lough M, Novak V, Yeh GY, Ahn AC, Macklin EA, Manor B. Complexity-based measures inform effects of Tai Chi training on standing postural control: cross-sectional and randomized trial studies. PLoS ONE 2014; 9(12): e114731 https://doi.org/10.1371/journal.pone.0114731 pmid: 25494333
18	Wayne PM, Manor B, Novak V, Costa MD, Hausdorff JM, Goldberger AL, Ahn AC, Yeh GY, Peng CK, Lough M, Davis RB, Quilty MT, Lipsitz LA. A systems biology approach to studying Tai Chi, physiological complexity and healthy aging: design and rationale of a pragmatic randomized controlled trial. Contemp Clin Trials 2013; 34(1): 21–34 https://doi.org/10.1016/j.cct.2012.09.006 pmid: 23026349
19	Costa MD, Peng CK, Goldberger AL. Multiscale analysis of heart rate dynamics: entropy and time irreversibility measures. Cardiovasc Eng 2008; 8(2): 88–93 https://doi.org/10.1007/s10558-007-9049-1 pmid: 18172763
20	Papaioannou VE, Chouvarda I, Maglaveras N, Dragoumanis C, Pneumatikos I. Changes of heart and respiratory rate dynamics during weaning from mechanical ventilation: a study of physiologic complexity in surgical critically ill patients. J Crit Care 2011; 26(3): 262–272 https://doi.org/10.1016/j.jcrc.2010.07.010 pmid: 20869842
21	Subramaniam B, Khabbaz KR, Heldt T, Lerner AB, Mittleman MA, Davis RB, Goldberger AL, Costa MD. Blood pressure variability: can nonlinear dynamics enhance risk assessment during cardiovascular surgery? J Cardiothorac Vasc Anesth 2014; 28(2): 392–397 https://doi.org/10.1053/j.jvca.2013.11.014 pmid: 24508020
22	Turianikova Z, Javorka K, Baumert M, Calkovska A, Javorka M. The effect of orthostatic stress on multiscale entropy of heart rate and blood pressure. Physiol Meas 2011; 32(9): 1425–1437 https://doi.org/10.1088/0967-3334/32/9/006 pmid: 21799239
23	Vandendriessche B, Peperstraete H, Rogge E, Cauwels P, Hoste E, Stiedl O, Brouckaert P, Cauwels A. A multiscale entropy-based tool for scoring severity of systemic inflammation. Crit Care Med 2014; 42(8): e560–e569 https://doi.org/10.1097/CCM.0000000000000299 pmid: 24717467
24	Yang AC, Huang CC, Yeh HL, Liu ME, Hong CJ, Tu PC, Chen JF, Huang NE, Peng CK, Lin CP, Tsai SJ. Complexity of spontaneous BOLD activity in default mode network is correlated with cognitive function in normal male elderly: a multiscale entropy analysis. Neurobiol Aging 2013; 34(2): 428–438 https://doi.org/10.1016/j.neurobiolaging.2012.05.004 pmid: 22683008
25	Yang AC, Tsai SJ. Complexity of mental illness: a new research dimension. Prog Neuropsychopharmacol Biol Psychiatry 2013; 45: 251–252 https://doi.org/10.1016/j.pnpbp.2013.01.018 pmid: 23380171
26	Yang AC, Tsai SJ. Is mental illness complex? From behavior to brain. Prog Neuropsychopharmacol Biol Psychiatry 2013; 45: 253–257 https://doi.org/10.1016/j.pnpbp.2012.09.015 pmid: 23089053

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