scholarly journals The core pattern of Chinese herbal formulae and drug–herb concurrent usage in patients with dementia

Medicine ◽  
2019 ◽  
Vol 98 (4) ◽  
pp. e13931 ◽  
Author(s):  
Shun-Ku Lin ◽  
Jeng-Nan Tzeng ◽  
Jung-Nien Lai
Author(s):  
LiWei Yin ◽  
YaCen Gao ◽  
ZiPing Li ◽  
MengYu Wang ◽  
KaiXin Chen

Background: Novel coronavirus pneumonia (NCP), or coronavirus disease 2019 (COVID-19), is a worldwide health threat that has affected millions of people globally. Traditional Chinese medicine (TCM) has been introduced for the treatment of COVID-19. However, efficacy differs among herbal medicines, and the ideal prescription pattern for TCM herbal formulae for COVID-19 treatment needs to be explored. Therefore, the data mining method has been used in this study to analyze the TCM prescription pattern for COVID-19. Objective: The aim of this study was to analyze the TCM prescription pattern in Regional Schemes in China for COVID-19 in order to provide a new reference for the use of TCM in COVID-19 treatment. Method: By searching the TCM treatment protocols of COVID-19 in 23 Regional Schemes, TCM syndromes and herbal medicines were analyzed by data mining. The Ancient and Modern Medical Case Cloud Platform (V2.1 personal Edition) was used to perform frequency statistics, correlation analysis, and cluster analysis. A total of 82 TCM syndromes and 171 Chinese herbal medicines were found. The course of the disease can be divided into the early stage, middle stage, severe stage, and recovery stage. Results: In the early stage, the focus is primarily on resolving dampness, dispelling cold, and diffusing the lungs. In the middle stage, the treatment priority is clearing heat and resolving toxins, promoting lung function, and relieving asthma. In the severe stage, the focus is on tonifying Qi, restoring Yang, and relieving depletion of Yin and Yang. In the recovery stage, the main treatment is to invigorate the spleen and regulate Qi, tonify Qi, nourish Yin, and clear residual disease evil. There are certain differences between the Regional Schemes and the Nation Schemes, but the core prescription pattern of the former is consistent with the latter. The effectiveness of these 171 Chinese herbs include but are not limited to inhibiting COVID-19, strengthening immune system function, preventing heart failure, acting as antioxidants, oxidative stress inhibitory effects, maintaining organ function, and improving leukocyte survival. Conclusion: This study may help to improve understanding of TCM herbal prescription pattern, practices, reveal the efficacy of combinations of Chinese herbs, and provide new ideas for TCM treatment for COVID-19.


PLoS ONE ◽  
2019 ◽  
Vol 14 (9) ◽  
pp. e0222383 ◽  
Author(s):  
Mingdi Li ◽  
Andrew Hung ◽  
George Binh Lenon ◽  
Angela Wei Hong Yang

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yan Li ◽  
Rui Li ◽  
Zibo Ouyang ◽  
Shao Li

Traditional Chinese Medicine (TCM) doctors always prescribe various herbal formulae tailored to individual patients. However, there is still a lack of appropriate methods to study the rule and potential biological basis underlying the numerous prescriptions. Here we developed an Herb-Compound-Target-Disease coherent network approach to analyze 871 herbal prescriptions from a TCM master, Mr. Ji-Ren Li, in his clinical practice on treatment of rheumatoid arthritis (RA). The core herb networks were extracted from Mr. Li’s prescriptions. Then, we predicted target profiles of compounds in core herb networks and calculated potential synergistic activities among them. We further found that the target sets of core herbs overlapped significantly with the RA related biological processes and pathways. Moreover, we detected a possible connection between the prescribed herbs with different properties such as Cold and Hot and the Western drugs with different actions such as immunomodulatory and hormone regulation on treatment of RA. In summary, we explored a new application of TCM network pharmacology on the analysis of TCM prescriptions and detected the networked core herbs, their potential synergistic and biological activities, and possible connections with drugs. This work offers a novel way to understand TCM prescriptions in clinical practice.


2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Fei-Fei Cai ◽  
Wen-Jun Zhou ◽  
Rong Wu ◽  
Shi-Bing Su

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yuan-Chieh Yeh ◽  
Hsing-Yu Chen ◽  
Sien-Hung Yang ◽  
Yi-Hsien Lin ◽  
Jen-Hwey Chiu ◽  
...  

Traditional Chinese medicine (TCM), which is the most common type of complementary and alternative medicine (CAM) used in Taiwan, is increasingly used to treat patients with breast cancer. However, large-scale studies on the patterns of TCM prescriptions for breast cancer are still lacking. The aim of this study was to determine the core treatment of TCM prescriptions used for breast cancer recorded in the Taiwan National Health Insurance Research Database. TCM visits made for breast cancer in 2008 were identified using ICD-9 codes. The prescriptions obtained at these TCM visits were evaluated using association rule mining to evaluate the combinations of Chinese herbal medicine (CHM) used to treat breast cancer patients. A total of 37,176 prescriptions were made for 4,436 outpatients with breast cancer. Association rule mining and network analysis identifiedHedyotis diffusaplusScutellaria barbataas the most common duplex medicinal (10.9%) used for the core treatment of breast cancer.Jia-Wei-Xiao-Yao-San(19.6%) andHedyotis diffusa(41.9%) were the most commonly prescribed herbal formula (HF) and single herb (SH), respectively. Only 35% of the commonly used CHM had been studied for efficacy. More clinical trials are needed to evaluate the efficacy and safety of these CHM used to treat breast cancer.


2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Ching-Mao Chang ◽  
Hsueh-Ting Chu ◽  
Yau-Huei Wei ◽  
Fang-Pey Chen ◽  
Shengwen Wang ◽  
...  

Abstract This large-scale survey aimed to evaluate frequencies and patterns of Chinese herbal medicine (CHM) used for Sjögren's syndrome (SS) in Taiwan by analyzing the National Health Insurance Research Database (NHIRD) for cases in which CHM was used as an alternative therapy to Western medicine for improving patients' discomforts. We analyzed cases of SS principal diagnosis (ICD-9:710.2) with a catastrophic illness certificate (CIC) in traditional Chinese medicine (TCM) outpatient clinics from three cohorts of the Longitudinal Health Insurance Database (LHID) in the NHIRD between 2002 and 2011. CHM prescription patterns for SS were evaluated from claimed visitation files and corresponding prescription files. There were 15,914 SS patients with CIC (SS/CIC) and we found only 130 SS/CIC cases visiting TCM clinics in LHID2000, 133 in LHID2005 and 126 in LHID2010. After removing duplicate data, 366 SS/CIC and 4,867 visits were analyzed. The 50–59 year age group showed the highest ratio (29.51%) in both women and men. “Qi-Ju-Di-Huang-Wan” and “Xuan-Shen” (Scrophularia ningpoensis Hemsl.) was the most commonly used formula and single herb, respectively. “Qi-Ju-Di-Huang-Wan, Gan-Lu-Yin, Xuan-Shen, Mai-Men-Dong (Ophiopogon japonicus (L. f.) Ker-Gawl.) and Sheng-Di-Huang (raw Rehmannia glutinosa Libosch)” were the core pattern prescriptions in treating SS/CIC.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Hsing-Yu Chen ◽  
Yi-Hsuan Lin ◽  
Sindy Hu ◽  
Sien-hung Yang ◽  
Jiun-liang Chen ◽  
...  

Eczema is a highly prevalent dermatological disease that can severely affect the patient’s quality of life. Chinese herbal medicine (CHM) is commonly used in combination for eczema due to the complicated pathogenesis. This study aimed to identify a CHM network for the treatment of eczema by using a nationwide database. During 2011, 381,282 CHM prescriptions made for eczema (ICD-9-CM 692.x) were obtained from the National Health Insurance Research Database (NHIRD) in Taiwan and analyzed by using association rule mining and social network analysis. Among 661 available CHMs, 44 important combinations were identified. Among the CHM networks, seven clusters with the predominant traditional Chinese medicine (TCM) pattern were recognized. The largest CHM cluster was used to treat the wind-dampness-heat pattern, and Xiao-Feng-San (24.1% of all prescriptions) was the core of this cluster with anti-inflammation, antioxidation, and antiallergic effects.Lonicera japonica(11.0% of all prescriptions) withForsythia suspense(17.0% of all prescriptions) was the most commonly used CHM combination and was also the core treatment for treating the heat pattern, in which an antimicrobial effect is found. CHM network analysis is helpful for TCM doctors or researchers to choose candidates for clinical practice or further studies.


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