The Patent Protection of the Traditional Chinese Medicine and the Impact on the Industry R&D in China

2016 ◽  
pp. 121-129
Author(s):  
Yongzhong Qiao ◽  
Xuezhong Zhu
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Patent Protection ◽  
The Impact

Patent Protection of the Traditional Chinese Medicine and Its Impact on the Related Industries in China

2009 ◽  
Vol 6 (3) ◽  
Author(s):  
Qiao Yongzhong ◽  
Zhu Xuezhong
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Human Resources ◽  
Patent Protection ◽  
Status Quo ◽  
Social Effects ◽  
The Status ◽  
Scientific Technical ◽  
Patent Applications ◽  
The Impact

AbstractTraditional Chinese Medicine (TCM) IP strategy is an integral part of China's national IP strategy. It is of great value for the implementation of the Strategy to study the status quo of the patent protection of TCM and its impact on the related industries. This paper gives a multidimensional illustration of the current of the patent protection of TCM in China in view of the following aspects: patent applications, patent grants, PCT and the object of the patent protection of TCM. It demonstrates the impact of patent protection on the TCM industry after a detailed analysis of the R&D expense, social effects, human resources in TCM institutions and their output of scientific/technical papers. Finally, it analyzes the challenges facing the patent protection of TCM and discusses some tentative solutions.

The impact of Traditional Chinese Medicine on mitophagy in disease models

2021 ◽  
Vol 27 ◽  
Author(s):  
Li-Ping Yu ◽  
Ting-Ting Shi ◽  
Yan-Qin Li ◽  
Jian-Kang Mu ◽  
Ya-Qin Yang ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Molecular Mechanisms ◽  
Human Diseases ◽  
Regulatory Mechanisms ◽  
Disease Models ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

: Mitophagy plays an important role in maintaining mitochondrial quality and cell homeostasis through the degradation of damaged, aged, and dysfunctional mitochondria and misfolded proteins. Many human diseases, particularly neurodegenerative diseases, are related to disorders of mitochondrial phagocytosis. Exploring the regulatory mechanisms of mitophagy is of great significance for revealing the molecular mechanisms underlying the related diseases. Herein, we summarize the major mechanisms of mitophagy, the relationship of mitophagy with human diseases, and the role of traditional Chinese medicine (TCM) in mitophagy. These discussions enhance our knowledge of mitophagy and its potential therapeutic targets using TCM.

scholarly journals The Changes in The Utilization Rate of Traditional Chinese Medicine During the 2019 Coronavirus Pandemic

2020 ◽  
Author(s):  
Shun-Ku Lin ◽  
Chien-Tung Wu ◽  
Chia-Jen Liu ◽  
Hui-Jer Chou ◽  
Fu-Yang Ko ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Rural Areas ◽  
Utilization Rate ◽  
City Hospital ◽  
Medical Needs ◽  
Mobile Medicine ◽  
Number Of Patients ◽  
Significant Difference ◽  
The Impact

Abstract Background: Large-scale epidemics have changed people’s medical behavior, and patients tend to delay non-urgent medical needs. However, the impact of the pandemic on the use of complementary and alternative medicine remains unknown. Methods: This retrospective study aimed to analyze the changes in the number of traditional Chinese medicine (TCM) patients and examine the epidemic prevention policy during the coronavirus disease 2019 (COVID-19) pandemic. We analyzed the number of TCM patients in Taipei City Hospital from January 2017 to May 2020. We tallied the numbers of patients in each month and compared them with those in the same months last year. We calculated the percentage difference in the number of patients to reveal the impact of the COVID-19 pandemic on TCM utilization. We used the Mann­–Whitney U test to examine whether there was a significant difference in the number of patients during the COVID-19 pandemic. Results: We included a total of 41 months and 1,935,827 patients in this study. During the COVID-19 pandemic, the number of patients decreased significantly, except in February 2020. The numbers of patients during the COVID-19 pandemic had fallen by more than 15% compared with those in the same months last year. March and April had the greatest number of patient losses, with falls of 32.8% and 40%, respectively. TCM patients declined significantly during the COVID-19 pandemic, and mobile medicine provided to rural areas fell considerably. Among all the TCM specialties, pediatrics and traumatology, as well as infertility treatment, witnessed the most significant decline in the number of patients. However, the number of cancer patients has reportedly increased. Conclusions: The COVID-19 pandemic decreased the utilization rate of TCM, especially for mobile healthcare in rural areas. We suggest that the government pay attention to the medical disparity between urban and rural areas, which are affected by the pandemic, as well as allocate adequate resources in areas deprived of medical care.

scholarly journals The Impact of Paeoniflorin onα-Synuclein Degradation Pathway

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Zenglin Cai ◽  
Xinzhi Zhang ◽  
Yongjin Zhang ◽  
Xiuming Li ◽  
Jing Xu ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Fluorescence Intensity ◽  
Cell Damage ◽  
Degradation Pathway ◽  
Ubiquitin Proteasome Pathway ◽  
Pathway Expression ◽  
Ubiquitin Proteasome ◽  
Proteasome Pathway ◽  
The Impact

Paeoniflorin (PF) is the major active ingredient in the traditional Chinese medicine Radix. It plays a neuroprotective role by regulating autophagy and the ubiquitin-proteasome degradation pathway. In this study, we found PF significantly reduced cell damage caused by MPP+, returning cells to normal state. Cell viability significantly improved after 24 h exposure to RAPA and PF in the MPP+ group (allP<0.01). CAT and SOD activities were significantly decreased after PF and RAPA treatment, compared with MPP+ (P<0.001). In addition, MPP+ activated both LC3-II and E1; RAPA increased LC3-II but inhibited E1. PF significantly upregulated both LC3-II (autophagy) and E1 (ubiquitin-proteasome pathway) expression (P<0.001), promoted degradation ofα-synuclein, and reduced cell damage. We show MPP+ enhanced immunofluorescence signal of intracellularα-synuclein and LC3. Fluorescence intensity ofα-synuclein decreased after PF treatment. In conclusion, these data show PF reversed the decline of proteasome activity caused by MPP+ and significantly upregulated both autophagy and ubiquitin-proteasome pathways, promoted the degradation ofα-synuclein, and reduced cell damage. These findings suggest PF is a potential therapeutic medicine for neurodegenerative diseases.

scholarly journals The Effects of Traditional Chinese Medicine-Associated Complementary and Alternative Medicine on Women with Polycystic Ovary Syndrome

2021 ◽  
Vol 2021 ◽  
pp. 1-26
Author(s):  
Wenjuan Shen ◽  
Bao Jin ◽  
Yujia Pan ◽  
Yanhua Han ◽  
Tianjiao You ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Symptom Relief ◽  
Public Health Problem ◽  
Signs And Symptoms ◽  
Ovary Syndrome ◽  
The Impact ◽  
Complementary And Alternative

Polycystic ovary syndrome (PCOS) is a touchy clinical and public health problem worldwide, which adversely affects women’s health and health-related comorbidities for lifetime, and represents a tremendous burden for both the family of the patient and for society. According to the diagnostic criteria used and the population studied, the prevalence rate of PCOS is between 6% and 21%. However, current conventional modern medicines for PCOS are only moderately effective at controlling the signs and symptoms, while they are not thoroughly able to prevent complications. Therefore, many patients have turned to complementary and alternative medical (CAM) treatments. CAM use is wide spread among patients with PCOS, and more than 70% of patients use CAM at one point during their diseases. The patients’ primary motivations include dissatisfaction with available medications, perceive higher risk of drug side effects and crushing health burden and economic costs, desire for symptom relief, pursuit of shortening the course of disease, and the belief that CAM therapy is in accordance with the patients’ values and beliefs. At present, several CAM methods have been used in women with PCOS, which has achieved obvious effects. However, biologically plausible mechanisms of the action of traditional Chinese medicine- (TCM-) associated CAM for PCOS have not been systematically reviewed. This review briefly summarizes the current progress of the impact of herbal medicine on the outcomes of PCOS and introduces the mechanisms.

The Impact of Artificial Intelligence on Traditional Chinese Medicine

2021 ◽  
pp. 1-18
Author(s):  
Yulin Wang ◽  
Xiuming Shi ◽  
Li Li ◽  
Thomas Efferth ◽  
Dong Shang
Keyword(s):  
Artificial Intelligence ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Modern Science ◽  
Diagnostic Methods ◽  
Digital Data ◽  
Syndrome Differentiation ◽  
Efficacy Evaluation ◽  
Combination Rules ◽  
The Impact

Traditional Chinese Medicine (TCM) is a well-established medical system with a long history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including TCM. AI will significantly improve the reliability and accuracy of diagnostics, thus increasing the use of effective therapeutic methods for patients. This systematic review provides an updated overview on the major breakthroughs in the field of AI-assisted TCM four diagnostic methods, syndrome differentiation, and treatment. AI-assisted TCM diagnosis is mainly based on digital data collected by modern electronic instruments, which makes TCM diagnosis more quantitative, objective, and standardized. As a result, the diagnosis decisions made by different TCM doctors exhibit more consistency, accuracy, and reliability. Meanwhile, the therapeutic efficacy of TCM can be evaluated objectively. Therefore, AI is promoting TCM from experience to evidence-based medicine, a genuine scientific revolution. Furthermore, huge and non-uniform knowledge on formula-syndrome relationships and the combination rules of herbal TCM formulae could be better standardized with the help of AI analysis, which is necessary for the clinical efficacy evaluation and further optimization on the standardized TCM formulae. AI bridges the gap between TCM and modern science and technology. AI may bring clinical TCM diagnostics closer to western medicine. With the help of AI, more scientific evidence about TCM will be discovered. It can be expected that more unified guidelines for specific TCM syndromes will be issued with the development of AI-assisted TCM therapies in the future.

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