The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine

Wu, Han Kuei; Ko, Yu Shien; Lin, Yu Wen; Wu, Hau‐Tieng; Tsai, Tung Hu; Chang, Hen Hong

doi:10.1016/j.ctim.2016.12.005

Cited by 32 publications

(21 citation statements)

References 15 publications

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“…In addition to the identification and prediction of the kinds and quality of CHMs, the E-nose technology can also be useful in the development of new drugs and drug discovery [1,124,125,126]. A certain class of odor representing a group of chemicals may also relate to a certain class of drug.…”

Section: Discussion: Challenges and Future Perspectivesmentioning

confidence: 99%

“…For example, some traditional Chinese medicines have “Ginseng flavor” or “Pungent flavor”, which represent tonic or dampness medicines. Therefore, during the development of new drugs, there is a chance to discover new medical value according to the detected odor and classification results using novel E-nose systems [126,127]. …”

Section: Discussion: Challenges and Future Perspectivesmentioning

confidence: 99%

“…This multiplexed E-nose system, as an emerging tool for odor standardization, can generate combinatorial patterns of odors in order to serve as a universal code for odors that can be standardized for coding many odors [42,126,127]. The realization of odor standardization offers great potential for CHMs in many applications.…”

Section: Discussion: Challenges and Future Perspectivesmentioning

confidence: 99%

See 2 more Smart Citations

Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges

Zhou

Luo

GholamHosseini

et al. 2017

Sensors

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This paper provides a review of the most recent works in machine olfaction as applied to the identification of Chinese Herbal Medicines (CHMs). Due to the wide variety of CHMs, the complexity of growing sources and the diverse specifications of herb components, the quality control of CHMs is a challenging issue. Much research has demonstrated that an electronic nose (E-nose) as an advanced machine olfaction system, can overcome this challenge through identification of the complex odors of CHMs. E-nose technology, with better usability, high sensitivity, real-time detection and non-destructive features has shown better performance in comparison with other analytical techniques such as gas chromatography-mass spectrometry (GC-MS). Although there has been immense development of E-nose techniques in other applications, there are limited reports on the application of E-noses for the quality control of CHMs. The aim of current study is to review practical implementation and advantages of E-noses for robust and effective odor identification of CHMs. It covers the use of E-nose technology to study the effects of growing regions, identification methods, production procedures and storage time on CHMs. Moreover, the challenges and applications of E-nose for CHM identification are investigated. Based on the advancement in E-nose technology, odor may become a new quantitative index for quality control of CHMs and drug discovery. It was also found that more research could be done in the area of odor standardization and odor reproduction for remote sensing.

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Section: Discussion: Challenges and Future Perspectivesmentioning

confidence: 99%

Section: Discussion: Challenges and Future Perspectivesmentioning

confidence: 99%

Section: Discussion: Challenges and Future Perspectivesmentioning

confidence: 99%

See 1 more Smart Citation

Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges

Zhou

Luo

GholamHosseini

et al. 2017

Sensors

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“…In TCM theory, blood is the basis of physiological activities, and thus also fundamentally informs pulse diagnosis. The biological mechanism behind pulse diagnosis has been verified by modern medicine (20,21). Serum contains a variety of proteins that respond to the pathogenesis of disease, which makes it an engaging subject for clinical research (22).…”

Section: Introductionmentioning

confidence: 99%

Serum protein complex profiling reveals heterogeneity of Balanced constitutional population in traditional Chinese medicine through blue native polyacrylamide gel electrophoresis

Tan¹,

Zhang²,

Chen³

et al. 2021

Ann Palliat Med

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Background: Pulse-taking is widely used for diagnosis and treatment in traditional Chinese medicine (TCM), and protein complexes in serum perform various biological functions. The Balanced constitution is one of the major constitutions in TCM, people with Balanced constitution can also share some common characteristics with unbalanced constitution types.Methods: Blue native polyacrylamide gel electrophoresis (BN-PAGE) was applied to the serum of 25 people with balanced constitutions. The patterns of the protein complexes could be recognized according to the number, molecular weight, and intensity of the gel bands. All of the individual bands from these patterns were cut and in-gel-digested with trypsin, followed by liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) analysis for protein identification and biological function analysis. Results:The protein complex patterns were roughly categorized as type A and B with high stability and reproducibility, and there were 15 and 16 gel bands in type A and type B, respectively. Among the 25 serum samples, 14 belonged to type A, and 11 belonged to type B. High-abundance proteins significantly decreased from 99% to 44% after BN-PAGE separation. The unique proteins in type A were mainly related to lipid metabolism, while the unique proteins in type B were involved in biological processes related to immune response and inflammatory regulation. The Qi-deficiency constitution converted score of type A was higher than that of type B, while the Damp-heat constitution converted score of type A was lower than that of type B.Conclusions: Our study provided an objective reference for diagnosis and prognosis, which might lay a foundation for establishing the characteristic protein complex spectra of all of the TCM constitutions.

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“…In other words, constitution is a dynamic character with both nature and environment and is always developing in the process of human growth [14]. Constitutions in TCM are generally classified based on the physiological (e.g., blood flow, pulse, and heartbeat) and physical status (e.g., facial appearance and body figure), as well as the clinical characteristics [15, 16]. It was reported that some chronic diseases were closely related to biased constitutions [17–19].…”

Section: Introductionmentioning

confidence: 99%

Identification of Traditional Chinese Medicine Constitutions and Physiological Indexes Risk Factors in Metabolic Syndrome: A Data Mining Approach

Tang

Zhao

Huang

et al. 2019

Evidence-Based Complementary and Alternative Medicine

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Objective. In order to find the predictive indexes for metabolic syndrome (MS), a data mining method was used to identify significant physiological indexes and traditional Chinese medicine (TCM) constitutions. Methods. The annual health check-up data including physical examination data; biochemical tests and Constitution in Chinese Medicine Questionnaire (CCMQ) measurement data from 2014 to 2016 were screened according to the inclusion and exclusion criteria. A predictive matrix was established by the longitudinal data of three consecutive years. TreeNet machine learning algorithm was applied to build prediction model to uncover the dependence relationship between physiological indexes, TCM constitutions, and MS. Results. By model testing, the overall accuracy rate for prediction model by TreeNet was 73.23%. Top 12.31% individuals in test group (n=325) that have higher probability of having MS covered 23.68% MS patients, showing 0.92 times more risk of having MS than the general population. Importance of ranked top 15 was listed in descending order . The top 5 variables of great importance in MS prediction were TBIL difference between 2014 and 2015 (D_TBIL), TBIL in 2014 (TBIL 2014), LDL-C difference between 2014 and 2015 (D_LDL-C), CCMQ scores for balanced constitution in 2015 (balanced constitution 2015), and TCH in 2015 (TCH 2015). When D_TBIL was between 0 and 2, TBIL 2014 was between 10 and 15, D_LDL-C was above 19, balanced constitution 2015 was below 60, or TCH 2015 was above 5.7, the incidence of MS was higher. Furthermore, there were interactions between balanced constitution 2015 score and TBIL 2014 or D_LDL-C in MS prediction. Conclusion. Balanced constitution, TBIL, LDL-C, and TCH level can act as predictors for MS. The combination of TCM constitution and physiological indexes can give early warning to MS.

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The correlation between pulse diagnosis and constitution identification in traditional Chinese medicine

Cited by 32 publications

References 15 publications

Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges

Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges

Serum protein complex profiling reveals heterogeneity of Balanced constitutional population in traditional Chinese medicine through blue native polyacrylamide gel electrophoresis

Identification of Traditional Chinese Medicine Constitutions and Physiological Indexes Risk Factors in Metabolic Syndrome: A Data Mining Approach

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