Mining association rules between the granulation feasibility and physicochemical properties of aqueous extracts from Chinese herbal medicine in fluidized bed granulation.

Fluidized bed granulation (FBG) is a widely used granulation technology in the pharmaceutical industry. However, defluidization caused by the formation of large aggregates poses a challenge to FBG, particularly in traditional Chinese medicine (TCM) due to its complex physicochemical properties of aqueous extracts. Therefore, this study aims to identify the complex relationships between physicochemical characteristics and defluidization using data mining methods. Initially, 50 types of TCM were decocted and assessed for their potential influence on defluidization using a set of 11 physical properties and 10 chemical components, utilizing the loss rate as an evaluation index. Subsequently, the random forest (RF) and Apriori algorithms were utilized to uncover intricate association rules among physicochemical characteristics and defluidization. The RF algorithm analysis revealed the top 8 critical factors associated with defluidization. These factors include physical properties like glass transition temperature (Tg) and dynamic surface tension (DST) of DST100ms, DST1000ms, DST10ms and conductivity, in addition to chemical components such as fructose, glucose and protein contents. The results from Apriori algorithm demonstrated that lower Tg and conductivity were associated with an increased risk of defluidization, resulting in a higher loss rate. Moreover, DST100ms, DST1000ms and DST10ms exhibited a contrasting trend in the physical properties Specifically, defluidization probability increases when Tg and conductivity dip below 29.04℃ and 6.21 ms/m respectively, coupled with DST10ms, DST100ms and DST1000ms values exceeding 70.40 mN/m, 66.66 mN/m and 61.58 mN/m, respectively. Moreover, an elevated content of low molecular weight saccharides was associated with a higher occurrence of defluidization, accompanied by an increased loss rate. In contrast, protein content displayed an opposite trend regarding chemical properties. Precisely, the defluidization likelihood amplifies when fructose and glucose contents surpass 20.35 mg/g and 34.05 mg/g respectively, and protein concentration is less than 1.63 mg/g. Finally, evaluation criteria for defluidization were proposed based on these results, which could be used to avoid this situation during the granulation process. This study demonstrated that the RF and Apriori algorithms are effective data mining methods capable of uncovering key factors affecting defluidization.

The lower He-sea points playing a significant role in postoperative ileus in colorectal cancer treated with acupuncture: based on machine-learning.

Background: Postoperative ileus (POI) is a common complication following abdominal surgery, which can lead to significant negative impacts on patients' well-being and healthcare costs. However, the efficacy of current treatments is not satisfactory. The purpose of this study was to evaluate the therapeutic effects of acupuncture intervention and explore the regulation of acupoint selection for treating POI in colorectal cancer (CRC) patients. Methods: We searched eight electronic databases to identify randomized controlled trials (RCTs) on acupuncture for POI in CRC and conducted a meta-analysis. Subsequently, we utilized the Apriori algorithm and the Frequent pattern growth algorithm, in conjunction with complex network and cluster analysis, to identify association rules of acupoints. Results: The meta-analysis showed that acupuncture led to significant reductions in time to first defecation (MD=-20.93, 95%CI: -25.35, -16.51; I2 = 93.0%; p < 0.01; n=2805), first flatus (MD=-15.08, 95%CI: -18.39, -11.76; I2 = 96%; p < 0.01; n=3284), and bowel sounds recovery (MD=-10.96, 95%CI: -14.20, -7.72; I2 = 94%; p < 0.01; n=2043). A subgroup analysis revealed that acupuncture not only reduced the duration of POI when administered alongside conventional care but also further expedited the recovery of gut function after colorectal surgery when integrated into the enhanced recovery after surgery (ERAS) pathway. The studies included in the analysis reported no instances of serious adverse events associated with acupuncture. We identified Zusanli (ST36), Shangjuxu (ST37), Neiguan (PC6), Sanyinjiao (SP6), Xiajuxu (ST39), Hegu (LI4), Tianshu (ST25), and Zhongwan (RN12) as primary acupoints for treating POI. Association rule mining suggested potential acupoint combinations including {ST37, ST39}≥{ST36}, {PC6, ST37}≥{ST36}, {SP6, ST37}≥{ST36}, and {ST25, ST37}≥{ST36}. Conclusion: Meta-analysis indicates acupuncture's safety and superior effectiveness over postoperative care alone in facilitating gastrointestinal recovery. Machine-learning approaches highlight the importance of the lower He-sea points, including Zusanli (ST36) and Shangjuxu (ST37), in treating POI in CRC patients. Incorporating additional acupoints such as Neiguan (PC6) (for pain and vomiting) and Sanyinjiao (SP6) (for abdominal distension and poor appetite) can optimize treatment outcomes. These findings offer valuable insights for refining treatment protocols in both clinical and experimental settings, ultimately enhancing patient care.

Phytochemistry, data mining, pharmacology, toxicology and the analytical methods of Cyperus rotundus L. (Cyperaceae): a comprehensive review.

Cyperus rotundus L. has been widely used in the treatment and prevention of numerous diseases in traditional systems of medicine around the world, such as nervous, gastrointestinal systems diseases and inflammation. In traditional Chinese medicine (TCM), its rhizomes are frequently used to treat liver disease, stomach pain, breast tenderness, dysmenorrheal and menstrual irregularities. The review is conducted to summarize comprehensively the plant's vernacular names, distribution, phytochemistry, pharmacology, toxicology and analytical methods, along with the data mining for TCM prescriptions containing C. rotundus. Herein, 552 compounds isolated or identified from C. rotundus were systematically collated and classified, concerning monoterpenoids, sesquiterpenoids, flavonoids, phenylpropanoids, phenolics and phenolic glycosides, triterpenoids and steroids, diterpenoids, quinonoids, alkaloids, saccharides and others. Their pharmacological effects on the digestive system, nervous system, gynecological diseases, and other bioactivities like antioxidant, anti-inflammatory, anti-cancer, insect repellent, anti-microbial activity, etc. were summarized accordingly. Moreover, except for the data mining on the compatibility of C. rotundus in TCM, the separation, identification and analytical methods of C. rotundus compositions were also systematically summarized, and constituents of the essential oils from different regions were re-analyzed using multivariate statistical analysis. In addition, the toxicological study progresses on C. rotundus revealed the safety property of this herb. This review is designed to serve as a scientific basis and theoretical reference for further exploration into the clinical use and scientific research of C. rotundus. Supplementary Information: The online version contains supplementary materials available at 10.1007/s11101-023-09870-3.

Medication and prescription rules for treating spleen and stomach diseases in Prescriptions of Peaceful Benevolent Dispensary / 数字中医药（英文）

@#【Objective】   To explore the prescriptions related to the treatment of spleen and stomach diseases in Prescriptions of Peaceful Benevolent Dispensary (Tai Ping Hui Min He Ji Ju Fang,《太平惠民和剂局方》, TPHMHJJF), and investigate the medication and prescription rules. 【Methods】   The prescriptions of TPHMHJJF for treating spleen and stomach diseases were screened, and the data set was established by entering the prescriptions and standardized drug names using WPS Excel 2019. Herb frequency statistics, efficacy categorization, property, flavor, meridian tropism, association rules, cluster analysis, factor analysis, and complex network analysis were performed using Python 3.6.8 programming language and Gephi 0.9.2 visualization software. 【Results】   A total of 239 prescriptions were included after the screening, and the dosage forms were mainly pills and powders. The study involved 200 herbal medicines, among which 40 herbs had a frequency of ≥ 12. The herb with the highest frequency was Ganjiang (Zingiber Rhizoma). The herb properties were mainly warm in nature, with the most pungent herbs. Most herbs were attributed to the spleen and stomach meridians, and tonifying medicine were the main species. The association rule analysis identified 26 second-order association rules and 16 third-order association rules, with "Renshen (Ginseng Radix et Rhizoma) → Fuling (Poria)" as the leading rule in the former and "Fuling (Poria) + Baizhu (Atractylodis Macrocephalae Rhizome) → Renshen (Ginseng Radix et Rhizoma)" as the leading rule in the latter. Also, cluster analysis divided the top 30 herbs into six herb combinations that can warm the middle, move Qi, and dry dampness effectively. Factor analysis extracted 13 common factors, with Renshen (Ginseng Radix et Rhizoma), Fuling (Poria), and Baizhu (Atractylodis Macrocephalae Rhizome) as the highest contributing factors. Lastly, complex network analysis yielded the core prescription of 14 herbs, with Ganjiang (Zingiber Rhizoma), Renshen (Ginseng Radix et Rhizoma), Gancao (Glycyrrhizae Radix et Rhizome), and Chenpi (Citri Reticulatae Pericarpium) among the herbs with a higher weighting degree. 【Conclusion】  TPHMHJJF is mainly based on the use of warming herbs to treat spleen and stomach diseases, and its medication rule can be summarized into three aspects: (i) primarily using warming and tonifying to warm the middle and dissipate cold, (ii) using the method of moving Qi with aromatic nature to delight the spleen and appetize the stomach, and (iii) emphasizing the regulation of Qi and blood to calm the five zang-organs.

Acupoint selection rule of acupuncture therapy for relieving postoperative pain based on data mining / 国际中医中药杂志

Objective:To analyze the rule of acupoint selection for acupuncture in relieving postoperative pain based on data mining technology.Methods:Articles about acupuncture for postoperative pain were retrieved from CNKI, SinoMed, VIP, Wanfang, PubMed, Embase and Web of Science databases from establishment to June 6, 2022. Excel 2019 and SPSS Modeler 18.0 software were used to establish acupoints database and conduct the data analysis.Results:Totally 308 articles were obtained, involving 317 acupuncture prescriptions and 173 acupoints. Acupoints of bladder meridian, stomach meridian, large intestine meridian and spleen meridian were used frequently. Zusanli (ST 36), Hegu (LI 4) and Neiguan (PC 6) were high-frequency acupoints with a frequency of ≥50 times. Five-shu acupoint was often selected in specific acupoints. The common sites for acupuncture to relieve postoperative pain were abdomen, perianal, lumbar back and knee. Zusanli (ST 36), Neiguan (PC 6) and other acupoints were commonly used for abdominal postoperative pain, and the most commonly used combination was "Zusanli (ST 36)-Neiguan (PC 6)"; Chengshan (BL 57), Changqiang (GV 1) and other acupoints were often used for perianal postoperative pain, and "Chengshan (BL 57)-Changqiang (GV 1)" was highly correlated combination; Shenshu (BL 23) and Huantiao (GB 30) were commonly used for postoperative pain in the lumbar and back region, and acupoints with high correlation were "Ashi acupoint-Huantiao (GB 30)" and "Shenshu (BL 23)-Huantiao (GB 30)"; Xuehai (SP10) and Liangqiu (ST 34) were commonly used for postoperative pain of knee, and their compatibility had a high correlation.Conclusion:Acupuncture therapy for relieving postoperative pain often selects Yang meridians acupoints, and follows the principle of distal-proximal points combination and acupoint selection along meridians, and pays attention to the use of specific acupoints.

Study on the regular pattern of "disease-syndrome-medicine" of different diseases with the same treatment for blood stasis syndrome based on complex network similarity analysis / 国际中医中药杂志

Objective:To reveal the regular pattern characteristics of different diseases with the same treatment in the most common diseases with blood stasis syndrome; To provide reference for the clinical treatment of blood stasis syndrome and the development of new drugs.Methods:RCTs of blood stasis syndrome were retrieved from CNKI, Chongqing VIP, Wanfang Data, SinoMed, and China Medical Journal Full-text Database from the establishment of the databases to December 31, 2022. Diseases, accompanied symptoms, prescriptions and medicines were extracted. The diseases with the highest frequency among the three disease systems with the highest frequency were collected, and their medication characteristics and prescription rules were analyzed using frequency statistics and association rules Apriori algorithm. The core prescriptions of blood stasis syndrome of three kinds of diseases were excavated and their network similarity was analyzed.Results:A total of 2 052 articles were included. Stable coronary heart disease, ischemic stroke and DN were more common diseases with blood stasis syndrome. The common drugs for the three diseases were Chuanxiong Rhizoma, Carthami Flos, Persicae Semen, Angelicae Sinensis Radix. The core prescription of stable coronary heart disease was Persicae Semen- Carthami Flos- Chuanxiong Rhizoma- Angelicae Sinensis Radix- Paeoniae Radix Rubra; the core prescription of ischemic stroke is Buyang Huanwu Decoction; the core prescription of DN was Persicae Semen- Carthami Flos- Chuanxiong Rhizoma- Angelicae Sinensis Radix- Cornus Officinalis- Dioscoreae Rhizoma- Astragali Radix. The similarity between stable coronary heart disease and ischemic stroke core prescription network was 0.35, the similarity between ischemic stroke and DN core prescription network was 0.29, and the similarity between stable coronary heart disease and DN core prescription network was 0.26. Conclusions:The theory of "different diseases with the same treatment" can profoundly guide clinical practice. The core medicines of blood stasis syndrome are Persicae Semen, Carthami Flos, Angelicae Sinensis Radix, and Chuanxiong Rhizoma. On this basis, combined with different diseases and syndromes to make changes of adding and subtracting.

Study on medication law of TCM compounds with national patents for treatment of vascular dementia / 国际中医中药杂志

Objective:To explore the prescription and medication law of Traditional Chinese Medicine (TCM) compounds in the treatment of vascular dementia (VD) based on patent database.Methods:TCM compounds with patents about VD were retrieved from Chinese patent announcement website of the State Intellectual Property Office and CNKI. The retrieval time was from the establishment to the databases to 31 st, March 2022. The frequency, clusteringand association analysis were carried out with the help of TCM inheritance auxiliary platform (V2.5). The medication law was analyzed. Results:154 TCM compound patents for the treatment of vascular dementia were screened, involving 227 kinds of Chinese materia medica. Among them, Acori Tatarinowii Rhizoma (44 times, 28.57%) was used more frequently, and the common medicinal pair was Salviea Miltiorrhizae Radix et Rhizoma- Acori Tatarinowii Rhizoma (17 times, 11.03%). The medicinal property was mainly warm, the taste was mainly sweet, and the meridian was mainly liver meridian. Those with high confidence based on association rules were " Corni Fructus -Acori Tatarinowii Rhizoma" (0.90), " Corni Fructus -Rehmannize Radix et Praeparata" (0.90). Based on the complex network, it was concluded that the core drugs were 14 groups such as " Rehmannize Radix et Praeparata- Cistanches Herba- Corni Fructus". The new prescriptions extracted by entropy cluster analysis included 7 groups such as " Rehmannize Radix et Praeparata, Cistanches Herba, Corni Fructus and Asparagi Radix". Conclusion:The treatment of VD by TCM compounds with national patents is mainly based on tonifying deficiency, promoting blood circulation and removing blood stasis, eliminating phlegm and dampness, expelling wind and dredging collaterals, opening orifices and resuscitation, which can provide reference for clinical practice and new drug research and development.

Study on medication law of TCM compounds for treatment of blood stasis type vascular dementia / 国际中医中药杂志

Objective:To explore the medication law and core Traditional Chinese Medicine (TCM) compounds in the treatment of blood stasis vascular dementia (VD) based on data mining.Methods:The literature about TCM treatment for blood stasis VD was retrieved from the databases of CNKI, Wanfang, VIP, and CBM from January 2000 to November 2021. Microsoft Office Excel 2019, SPSS Modeler 18.0, SPSS Statistics 25.0, R X64 4.1.2, and Origin 2021 were used to perform medication frequency analysis, frequency analysis of four properties and five tastes of TCM, association rules, clustering analysis, factor analysis and data visualization.Results:A total of 196 articles were included, with 196 TCM prescriptions, involving 200 kinds of Chinese materia medica. High-frequency drugs were for Acori Tatarinowii Rhizoma, Chuanxiong Rhizoma, Salviae Miltiorrhizae Radix et Rhizoma, Polygalae Radix, Carthami Flos. The medicinal properties were mainly warm, mild and cold, the tastes were mainly sweet, bitter and pungent, and the meridians were mainly liver meridian, spleen meridian and heart meridian. A total of 19 association rules were obtained from the analysis of association rules for 2 kinds of Chinese materia medica, and the rules of the representative were Acori Tatarinowii Rhizoma- Polygalae Radix, Chuanxiong Rhizoma- Carthami Flos, Acori Tatarinowii Rhizoma- Curcumae Radix. A total of 4 categories were extracted through clustering analysis. Factor analysis extracted a total of 8 common factors. Conclusion:The core pathogenesis of blood stasis VD is blood stasis blocking brain collaterals, and there were also pathological factors such as qi deficiency, yin deficiency, phlegm turbidity and so on. The basic treatment is promoting blood circulation and removing stasis, and different methods of promoting blood circulation and drugs are selected. The methods of strengthening spleen and reducing phlegm, nourishing yin and blood, inducing resuscitation, tonifying the kidney and spleen, regulating qi, promoting collaterals and so on can also be used based on syndromes and symptoms of the patients.

Constructing a Syndrome Differentiation Model by Combining Latent Structure Analysis of Association Rules： An Example of Kidney Yang Deficiency Syndrome in Primary Osteoporosis / 中医杂志

ObjectiveTo construct a quantitative differentiation model of traditional Chinese medicine （TCM） syndromes by taking primary osteoporosis （POP） with kidney yang deficiency syndrome as an example， and to provide methodological reference for the standardization of syndrome differentiation. MethodsHigh-frequency clinical features of POP were screened by descriptive statistical analysis， and strong association features of POP were obtained by association rule algorithm. On this basis， a latent structure （latent tree） model was established through latent structure analysis， and the implicit and explicit variables （features） related to POP with kidney yang deficiency syndrome were comprehensively clustered， and the clustering results were interpreted by the indexes of mutual information and cumulative information coverage， to explore the primary and secondary symptoms， and to deduce the categories of POP with kidney yang deficiency syndrome based on the probability of the features appearing in the various latent categories. Based on the categories， the clinical feature scores and identification thresholds were calculated， and the syndrome differentiation model of POP with kidney yang deficiency was initially constructed by combining the comprehensive judgment rules. Finally， the results of TCM professionals' judgment were used as the gold standard to further evaluate the effectiveness of the model in assisting the syndrome differentiation. ResultsThe 32 features strongly associated with POP were obtained， and the Bayes information critedon score of the further constructed latent tree model was -15291.93. Based on the mutual information and the cumulative information coverage， the main symptoms of POP with kidney yang deficiency syndrome were bone weakness， fatigue， pale tongue， clear urine， frequent nocturnal urination， cold limbs， thin pulse， white coating， and secondary symptoms were weakness， loss of libido， loose stool， frequent urination， lumbar and knee weakness， and fear of cold. From the probability of the occurrence of each clinical feature in different latent categories of POP with kidney yang deficiency syndrome， the state was introduced as S0 category （none/mild kidney yang syndrome）/ S1 category （moderate kidney yang syndrome）/ S2 category （severe kidney yang syndrome）. Optimizing the preliminary rules of state identification and refining the state of S1 category， the results showed that among 970 patients with POP， there were 520 patients having no/mild kidney yang deficiency syndrome， 224 patients with moderate to mild kidney yang deficiency syndrome， 81 patients with moderate to severe kidney yang deficiency syndrome， and 145 patients with severe kidney yang deficiency syndrome. During the evaluation and validation process， the correct rate of the model assessment index was 0.8835， while the sensitivity was 0.7181， and the specificity was 0.9437. ConclusionCombined with the latent structure analysis of the association rule， the syndrome differentiation model for POP with kidney yang deficiency could be constructed， and the model shows a good quantitative identification effect， which can provide methodological supports for clinicians to improve the efficiency and accuracy of TCM diagnosis.

A Data Mining-Based Study on Medication Rules of Chinese Herbs to Treat Heart Failure with Preserved Ejection Fraction.

OBJECTIVE: To summarize the medication rules of Chinese herbs to treat heart failure with preserved ejection fraction (HFPEF) based on data mining and to provide references for clinical utilization. METHODS: The China National Knowledge Infrastructure (CNKI), Wanfang database (Wanfang), VIP database (VIP), Chinese Biomedical Literature (CBM), PubMed, Embase, and Cochrane Library databases were searched from inception to October 2021 to identify relevant literature on treating HFPEF with Chinese herbs. Microsoft Excel 2019 was used to set up a database, and then, association rule analysis and hierarchical cluster analysis were performed by using apriori algorithm and hclust function respectively in R-Studio (Version 4.0.3). RESULTS: A total of 182 qualified papers were included, involving a total of 92 prescriptions, 130 Chinese herbs, and 872 individual herbs prescribed, with an average of 9.5 herbs per prescription. The six most frequently prescribed herbs were Astragali Radix (Huangqi), Salviae Miltiorrhizae Radix Et Rhizoma (Danshen), Poria (Fuling), Glycyrrhizae Radix Et Rhizoma (Gancao), Cinnamomi Ramulus (Guizhi), and Ginseng Radix Et Rhizoma (Renshen). There were 35 herbs used more than 5 times, involving 11 efficacy categories. The top three categories were deficiency-tonifying herbs, blood-activating and stasis-removing herbs, and dampness-draining diuretic herbs. The most commonly used herbs were mainly warm and sweet. The primary meridian tropisms were Lung Meridian, Heart Meridian and Spleen Meridian. Association rule analysis yielded 26 association rules, such as Astragali Radix (Huangqi) & Salviae Miltiorrhizae Radix Et Rhizoma (Danshen), Poria (Fuling), Cinnamomi Ramulus (Guizhi) & Atractylodis Macrocephalae Rhizoma (Baizhu). Hierarchical cluster analysis yielded four herb classes, and their functions were mainly qi-replenishing and yang-warming, blood-activating and diuresis-inducing. CONCLUSIONS: HFPEF is the syndrome of root vacuity and tip repletion, and its core pathogenesis is "deficiency", "stasis", and "water", with "deficiency" being the most principal, which is closely related to Xin (heart), Fei (Lung), and Pi (Spleen). The treatment of this disease occurs by improving qi, warming yang, activating blood and inducing diuresis. Astragali Radix (Huangqi) with Salviae Miltiorrhizae Radix Et Rhizoma (Danshen) is the basic combination of herbs applied.

[Analysis of acupoint-symptom relationship in CHENG Dan-an's Note About Treatise on Cold-Attack based on complex network].

Acupoint-symptom relationship in CHENG Dan-an's Note About Treatise on Cold-Attack was analyzed based on complex network, acupoint names and indications were extracted from the book, which provided ideas and methods for promoting the modernization of acupuncture and moxibustion by using complex network technology. A total of 112 acupoints in 201 acupuncture prescriptions were included, and the total frequency of acupoints was 880 times, forming 42 034 acupoint pairs. In terms of network indexes, compared with the complex network of comprehensive acupuncture books, such as Meridian and Acupoint Science, Zhenjiu Dacheng, Acupuncture A and B Meridians formed based on the same mathematical method, the complex network model for CHENG Dan-an's Note About Treatise on Cold-Attack shows more typical small world effect, which is characterized by higher network density (6.762) and shorter average path length (1.064). This phenomenon may be related to the tongue and pulse which added the link between acupoints. For the node indexes, the analysis of topological indexes such as Page Rank shows that acupoints represented by Dazhui (GV 14) has higher compatibility value in the treatment of exogenous diseases, which further demonstrates the clinical value of eigenvector centrality in guiding intelligent compatibility of points.

Research on the characteristics of Tibetan Medicine for treating orthopedics and traumatological diseases based on data mining / 国际中医中药杂志

Objective:To analyze the medication rule of treating orthopedics in Tibetan Medicine by data mining, in order to summarize the characteristics and theory of ethnic minorities medicine for treating orthopedics and traumatology.Methods:By collecting the treatment methods of orthopedics and traumatologic diseases in books of Chinese Materia Medica·Tibetan Medicine Volume and Chinese Medical Encyclopedia·Tibetan Medicine to analyze the frequency, cluster and association rules of Tibetan Medicines by using Office Excel 2019, IBM SPSS Statistics 26.0 and IBM SPSS modeler 14.1 respectively. Results:Among the 202 Tibetan Medicine prescriptions of Orthopedic Department, 338 belongs to Chinese medicines. The top 3 Chinese medicines that are frequently appeared are Chebulae Fructus, Inula racemosa Hook.f, and Carthami Flos. The properties of those medicines are mainly cold, warm and cool, and the tastes are mainly pungent, bitter and sweet; the meridians mainly belong to liver, lung, stomach and spleen; The priscriptions mainly cover four kinds of diseases: trauma, arthralgia syndrome, lumbosacral tendon injury, chest and back tendon injury. The four kinds of cluster combinations were obtained. The core Chinese medicines were Chebulae Fructus, Terminaliae Belliricae Fructus, Phyllanthi Fructus, Cassiae Semen, Olibanum, Abelmoschus moschatus, and the common medicine pair were Chebulae Fructus- Terminaliae Belliricae Fructus, Abelmoschus moschatus- Cassiae Semen, Olibanum- Abelmoschus moschatus and so on. Conclusions:Tibetan Medicines treat orthopedics and traumatological diseases with antipyretic medicines as the main yellow water, followed by blood activating, Qi regulating and wind dampness removing medicines. With Sanguo Decoction and Sanhuang water of Tibetan medicine as the core, they are often combined with other antipyretic and blood cooling medicines and bone connecting medicines. Tibetan Medicine pays attention to the application of dry yellow water theory, which reflects the role of the core theory of Qingxie method and yellow water theory of Tibetan Medicine in the diagnosis and treatment of orthopedic and traumatologic diseases.

A Data Mining-Based Study on Medication Rules of Chinese Herbs to Treat Heart Failure with Preserved Ejection Fraction / 中国结合医学杂志

OBJECTIVE@#To summarize the medication rules of Chinese herbs to treat heart failure with preserved ejection fraction (HFPEF) based on data mining and to provide references for clinical utilization.@*METHODS@#The China National Knowledge Infrastructure (CNKI), Wanfang database (Wanfang), VIP database (VIP), Chinese Biomedical Literature (CBM), PubMed, Embase, and Cochrane Library databases were searched from inception to October 2021 to identify relevant literature on treating HFPEF with Chinese herbs. Microsoft Excel 2019 was used to set up a database, and then, association rule analysis and hierarchical cluster analysis were performed by using apriori algorithm and hclust function respectively in R-Studio (Version 4.0.3).@*RESULTS@#A total of 182 qualified papers were included, involving a total of 92 prescriptions, 130 Chinese herbs, and 872 individual herbs prescribed, with an average of 9.5 herbs per prescription. The six most frequently prescribed herbs were Astragali Radix (Huangqi), Salviae Miltiorrhizae Radix Et Rhizoma (Danshen), Poria (Fuling), Glycyrrhizae Radix Et Rhizoma (Gancao), Cinnamomi Ramulus (Guizhi), and Ginseng Radix Et Rhizoma (Renshen). There were 35 herbs used more than 5 times, involving 11 efficacy categories. The top three categories were deficiency-tonifying herbs, blood-activating and stasis-removing herbs, and dampness-draining diuretic herbs. The most commonly used herbs were mainly warm and sweet. The primary meridian tropisms were Lung Meridian, Heart Meridian and Spleen Meridian. Association rule analysis yielded 26 association rules, such as Astragali Radix (Huangqi) & Salviae Miltiorrhizae Radix Et Rhizoma (Danshen), Poria (Fuling), Cinnamomi Ramulus (Guizhi) & Atractylodis Macrocephalae Rhizoma (Baizhu). Hierarchical cluster analysis yielded four herb classes, and their functions were mainly qi-replenishing and yang-warming, blood-activating and diuresis-inducing.@*CONCLUSIONS@#HFPEF is the syndrome of root vacuity and tip repletion, and its core pathogenesis is "deficiency", "stasis", and "water", with "deficiency" being the most principal, which is closely related to Xin (heart), Fei (Lung), and Pi (Spleen). The treatment of this disease occurs by improving qi, warming yang, activating blood and inducing diuresis. Astragali Radix (Huangqi) with Salviae Miltiorrhizae Radix Et Rhizoma (Danshen) is the basic combination of herbs applied.

Analysis of acupoint-symptom relationship in CHENG Dan-an's Note About Treatise on Cold-Attack based on complex network / 中国针灸

Acupoint-symptom relationship in CHENG Dan-an's Note About Treatise on Cold-Attack was analyzed based on complex network, acupoint names and indications were extracted from the book, which provided ideas and methods for promoting the modernization of acupuncture and moxibustion by using complex network technology. A total of 112 acupoints in 201 acupuncture prescriptions were included, and the total frequency of acupoints was 880 times, forming 42 034 acupoint pairs. In terms of network indexes, compared with the complex network of comprehensive acupuncture books, such as Meridian and Acupoint Science, Zhenjiu Dacheng, Acupuncture A and B Meridians formed based on the same mathematical method, the complex network model for CHENG Dan-an's Note About Treatise on Cold-Attack shows more typical small world effect, which is characterized by higher network density (6.762) and shorter average path length (1.064). This phenomenon may be related to the tongue and pulse which added the link between acupoints. For the node indexes, the analysis of topological indexes such as Page Rank shows that acupoints represented by Dazhui (GV 14) has higher compatibility value in the treatment of exogenous diseases, which further demonstrates the clinical value of eigenvector centrality in guiding intelligent compatibility of points.

[Characteristics analysis for Chinese patent medicine containing Jujubea Fructus based on data mining].

Chinese patent medicine prescriptions containing Jujubea Fructus in 2015 edition of Chinese Pharmacopoeia and the Composition Principles of Chinese Patent Drug were collected, and the characteristics of Chinese patent medicine containing Jujubea Fructus were analyzed by using data mining technology. Statistical software Excel 2019, Clementine 12.0 and SPSS 21.0 were used to conduct statistical analysis of conforming Chinese patent medicine prescriptions by means of frequency statistics, association rule analysis and cluster analysis. Finally, a total of 185 Chinese patent medicine prescriptions containing Jujubea Fructus were included in this study, involving 402 Chinese medicines and 28 kinds of high frequency Chinese medicines, with Jujubea Fructus, Poria, Zingiberis Rhizoma Recens, Glycyrrhizae Radix et Rhizoma, and Codonopsis Radix as the top five. The deficiency-nourishing drugs were in the most common efficacy classification, mainly sweet, bitter and pungent, with most medicine properties of warm and gentle, main meridians of spleen lung and stomach, dosage forms of pills, granules and tablets, and main indications of splenic diseases. Fifteen drug combinations were obtained in association rule analysis. Eleven drug combinations were obtained by association rule analysis of Chinese patent medicine containing Jujubea Fructus in the treatment of splenic diseases, and the drugs were divided into two categories by cluster analysis. According to the above analysis, it is found that the Chinese patent medicine prescriptions containing Jujubea Fructus are mainly composed of deficiency-nourishing drugs, mostly compatible with drugs of sweet, bitter and pungent flavors, warm and gentle properties, and spleen, lung, and stomach meridians in the treatment of splenic diseases, with Sijunzi Decoction as the main drug. This study provides guidance for modern clinical application and development of Jujubea Fructus.

[Research on regularity of traditional Chinese medicine in treatment of Alzheimer's disease based on data mining].

To explore prescription medication regularity in the treatment of Alzheimer's disease with traditional Chinese medicine(TCM). With Alzheimer's disease or senile dementia as the subject, collecting and sorting out the journal papers in CNKI were collected as the data source to establish the literature research database of Alzheimer's disease prescriptions, and then the association rule analysis, factor analysis and systematic cluster analysis on the included TCM were conducted. Among the 113 prescriptions included in the standard, the single herb Acori Tatarinowii Rhizoma was the most common. The herbs were mainly warm and flat among four pro-perties, mainly sweet, bitter and spicy among five flavors. The drugs were mainly distributed in five internal organs, and the most commonly used drugs were deficiency tonifying drugs as well as blood activating and stasis removing drugs. In the association rule analysis, it was found that there were 6 drug pairs with the highest association strength. Eight common factors were extracted from the factor analysis, and they were classified into 6 categories in the systematic cluster analysis. The results have shown that the overall principles in treating Alzheimer's disease with modern Chinese medicine are tonifying deficiency, invigorating circulation, activating blood and dispelling phlegm.

The important herbal pair for the treatment of COVID-19 and its possible mechanisms.

BACKGROUND: Coronavirus Disease 2019 (COVID-19) is an unprecedented disaster for people around the world. Many studies have shown that traditional Chinese medicine (TCM) are effective in treating COVID-19. However, it is difficult to find the most effective combination herbal pair among numerous herbs, as well as identifying its potential mechanisms. Herbal pair is the main form of a combination of TCM herbs, which is widely used for the treatment of diseases. It can also help us to better understand the compatibility of TCM prescriptions, thus improving the curative effects. The purpose of this article is to explore the compatibility of TCM prescriptions and identify the most important herbal pair for the treatment of COVID-19, and then analyze the active components and potential mechanisms of this herbal pair. METHODS: We first systematically sorted the TCM prescriptions recommended by the leading experts for treating COVID-19, and the specific herbs contained in these prescriptions across different stages of the disease. Next, the association rule approach was employed to examine the distribution and compatibility among these TCM prescriptions, and then identify the most important herbal pair. On this basis, we further investigated the active ingredients and potential targets in the selected herbal pair by a network pharmacology approach, and analyzed the potential mechanisms against COVID-19. Finally, the main active compounds in the herbal pair were selected for molecular docking with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) 3CLpro and angiotensin converting enzyme II (ACE2) for further verification. RESULT: We obtained 32 association rules for the herbal combinations in the selection of TCM treatment for COVID-19. The results showed that the combination of Amygdalus Communis Vas (ACV) and Ephedra sinica Stapf (ESS) had the highest confidence degree and lift value, as well as high support degree, which can be used in almost all the stages of COVID-19, so ACV and ESS (AE) were selected as the most important herbal pair. There were 26 active ingredients and 44 potential targets, which might be related to the herbal pair of AE against COVID-19. The main active ingredients of AE against COVID-19 were quercetin, kaempferol, luteolin, while the potential targets were Interleukin 6 (IL-6), Mitogen-activated Protein Kinase 1 (MAPK)1, MAPK8, Interleukin-1ß (IL-1ß), and Nuclear factor kappa-light-chain-enhancer of activated B cells (NF-kB) p65 subunit (RELA). The protein-protein interaction (PPI) cluster demonstrated that IL-6 was the seed in the cluster, which plays an important role in connecting other nodes in the PPI network. The potential pathways mainly involved tumor necrosis factor (TNF), Toll-like receptor (TLR), hypoxia-inducible factor-1 (HIF-1), and nucleotide-binding oligomerization domain (NOD)-like receptor (NLRs). The molecular docking results showed that the main active ingredients of AE have good affinity with SARS-COV-2 3CLpro and ACE2, which are consistent with the above analysis. CONCLUSIONS: There were 32 association rules in the TCM prescriptions recommended by experts for COVID-19. The combination of ACV and EAS was the most important herbal pair for the treatment of COVID-19. AE might have therapeutic effects against COVID-19 by affecting the inflammatory and immune responses, cell apoptosis, hypoxia damage and other pathological processes through multiple components, targets and pathways.

Research of insomnia on traditional Chinese medicine diagnosis and treatment based on machine learning.

BACKGROUND: Insomnia as one of the dominant diseases of traditional Chinese medicine (TCM) has been extensively studied in recent years. To explore the novel approaches of research on TCM diagnosis and treatment, this paper presents a strategy for the research of insomnia based on machine learning. METHODS: First of all, 654 insomnia cases have been collected from an experienced doctor of TCM as sample data. Secondly, in the light of the characteristics of TCM diagnosis and treatment, the contents of research samples have been divided into four parts: the basic information, the four diagnostic methods, the treatment based on syndrome differentiation and the main prescription. And then, these four parts have been analyzed by three analysis methods, including frequency analysis, association rules and hierarchical cluster analysis. Finally, a comprehensive study of the whole four parts has been conducted by random forest. RESULTS: Researches of the above four parts revealed some essential connections. Simultaneously, based on the algorithm model established by the random forest, the accuracy of predicting the main prescription by the combinations of the four diagnostic methods and the treatment based on syndrome differentiation was 0.85. Furthermore, having been extracted features through applying the random forest, the syndrome differentiation of five zang-organs was proven to be the most significant parameter of the TCM diagnosis and treatment. CONCLUSIONS: The results indicate that the machine learning methods are worthy of being adopted to study the dominant diseases of TCM for exploring the crucial rules of the diagnosis and treatment.

Research on regularity of traditional Chinese medicine in treatment of Alzheimer's disease based on data mining / 中国中药杂志

To explore prescription medication regularity in the treatment of Alzheimer's disease with traditional Chinese medicine(TCM). With Alzheimer's disease or senile dementia as the subject, collecting and sorting out the journal papers in CNKI were collected as the data source to establish the literature research database of Alzheimer's disease prescriptions, and then the association rule analysis, factor analysis and systematic cluster analysis on the included TCM were conducted. Among the 113 prescriptions included in the standard, the single herb Acori Tatarinowii Rhizoma was the most common. The herbs were mainly warm and flat among four pro-perties, mainly sweet, bitter and spicy among five flavors. The drugs were mainly distributed in five internal organs, and the most commonly used drugs were deficiency tonifying drugs as well as blood activating and stasis removing drugs. In the association rule analysis, it was found that there were 6 drug pairs with the highest association strength. Eight common factors were extracted from the factor analysis, and they were classified into 6 categories in the systematic cluster analysis. The results have shown that the overall principles in treating Alzheimer's disease with modern Chinese medicine are tonifying deficiency, invigorating circulation, activating blood and dispelling phlegm.

Characteristics analysis for Chinese patent medicine containing Jujubea Fructus based on data mining / 中国中药杂志

Chinese patent medicine prescriptions containing Jujubea Fructus in 2015 edition of Chinese Pharmacopoeia and the Composition Principles of Chinese Patent Drug were collected, and the characteristics of Chinese patent medicine containing Jujubea Fructus were analyzed by using data mining technology. Statistical software Excel 2019, Clementine 12.0 and SPSS 21.0 were used to conduct statistical analysis of conforming Chinese patent medicine prescriptions by means of frequency statistics, association rule analysis and cluster analysis. Finally, a total of 185 Chinese patent medicine prescriptions containing Jujubea Fructus were included in this study, involving 402 Chinese medicines and 28 kinds of high frequency Chinese medicines, with Jujubea Fructus, Poria, Zingiberis Rhizoma Recens, Glycyrrhizae Radix et Rhizoma, and Codonopsis Radix as the top five. The deficiency-nourishing drugs were in the most common efficacy classification, mainly sweet, bitter and pungent, with most medicine properties of warm and gentle, main meridians of spleen lung and stomach, dosage forms of pills, granules and tablets, and main indications of splenic diseases. Fifteen drug combinations were obtained in association rule analysis. Eleven drug combinations were obtained by association rule analysis of Chinese patent medicine containing Jujubea Fructus in the treatment of splenic diseases, and the drugs were divided into two categories by cluster analysis. According to the above analysis, it is found that the Chinese patent medicine prescriptions containing Jujubea Fructus are mainly composed of deficiency-nourishing drugs, mostly compatible with drugs of sweet, bitter and pungent flavors, warm and gentle properties, and spleen, lung, and stomach meridians in the treatment of splenic diseases, with Sijunzi Decoction as the main drug. This study provides guidance for modern clinical application and development of Jujubea Fructus.