[Prescription and medication rules of traditional Chinese medicine for prevention and treatment of diabetic microangiopathy based on literature mining].

This study explored the prescription and medication rules of traditional Chinese medicine(TCM) in the prevention and treatment of diabetic microangiopathy based on literature mining. Relevant literature on TCM against diabetic microangiopathy was searched and prescriptions were collected. Microsoft Excel 2021 software was used to establish a prescription database, and an analysis was conducted on the frequency, properties, flavors, meridian tropism, and efficacy classifications of drugs. Association rule analysis, cluster analysis, and factor analysis were performed using SPSS Modeler 18.0 and SPSS Statistics 26.0 software. The characteristic active components and mechanisms of action of medium-high frequency drugs in the analysis of medication rules were explored through li-terature mining. A total of 1 327 prescriptions were included in this study, involving 411 drugs, with a total frequency reaching 19 154 times. The top five high-frequency drugs were Astragali Radix, Angelicae Sinensis Radix, Poria, Salviae Miltiorrhizae Radix et Rhizoma, and Rehmanniae Radix. The cold and warm drugs were used in combination. Drugs were mainly sweet, followed by bitter and pungent, and acted on the liver meridian. The majority of drugs were effective in tonifying deficiency, clearing heat, activating blood, and resolving stasis. Association rule analysis identified the highly supported drug pair of Astragali Radix-Angelicae Sinensis Radix and the highly confident drug combination of Poria-Alismatis Rhizoma-Corni Fructus. The strongest correlation was found among Astragali Radix, Angelicae Sinensis Radix, Poria, and Salviae Miltiorrhizae Radix et Rhizoma through the complex network analysis. Cluster analysis identified nine categories of drug combinations, while factor analysis identified 16 common factors. The analysis of active components in high-frequency drugs for the treatment of diabetic microangiopathy revealed that these effective components mainly exerted their effects by inhibiting oxidative stress and suppressing inflammatory reactions. The study found that the pathogenesis of diabetic microangiopathy was primarily characterized by deficiency in origin, with a combination of deficiency and excess. Deficiency was manifested as Qi deficiency and blood deficiency, while excess as phlegm-heat and blood stasis. The key organ involved in the pathological changes was the liver. The treatment mainly focused on supplementing Qi and nourishing blood, supplemented by clearing heat, coo-ling blood, activating blood, and dredging collaterals. Commonly used formulas included Danggui Buxue Decoction, Liuwei Dihuang Pills, Erzhi Pills, and Buyang Huanwu Decoction. The mechanisms of action of high-frequency drugs in the treatment of diabetic microangiopathy were often related to the inhibition of oxidative stress and suppression of inflammatory reactions. These findings can provide references for the clinical treatment of diabetic microangiopathy and the development of targeted drugs.

Radix Salvia miltiorrhiza for Ankylosing Spondylitis: Determining Potential Inflammatory Molecular Targets and Mechanism Using Network Pharmacology.

Radix Salvia miltiorrhiza (RSM) is widely used for the clinical improvement of inflammatory diseases. However, the actions of RSM in the treatment of ankylosing spondylitis (AS) have not been fully explored. Therefore, this study was designed to use retrospective clinical data mining approach to understand the effects of RSM on AS-related immuno-inflammatory processes, use network pharmacology to predict therapeutic targets of RSM, and to further investigate the pharmacological molecular mechanism in vitro. RSM treatment has a long-term correlation with the improvement of AS-related immuno-inflammatory indicators through computational models. We established protein-protein interaction networks, conducted KEGG analysis to enrich significant TNF pathways, and finally obtained three core targets of RSM in the treatment of AS, namely, prostaglandin endoperoxide synthase 2 (PTGS2), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-alpha). Screening of RSM active ingredients with node degree greater than 20 yielded cryptotanshinone and tanshinone IIA, and previous studies have reported their anti-inflammatory effects. In vitro, both cryptotanshinone and tanshinone IIA significantly inhibited the expressions of PTGS2, IL-6, and TNF-α in peripheral blood mononuclear cells in AS patients. In conclusion, cryptotanshinone and tanshinone IIA, which are the active components of RSM, may inhibit the activation of TNF signaling pathway in AS patients by downregulating the expression of PTGS2, IL-6, and TNF-α. These findings illustrate that RSM may be a promising therapeutic candidate for AS, but further validation is required.

Exploration of the Immuno-Inflammatory Potential Targets of Xinfeng Capsule in Patients with Ankylosing Spondylitis Based on Data Mining, Network Pharmacology, and Molecular Docking.

Objective: This study aimed to ascertain the immuno-inflammatory molecular targets of Xinfeng capsules (XFC) in the treatment of ankylosing spondylitis (AS) based on data mining, network pharmacology, and molecular docking. Methods: The efficacy of XFC in the treatment of AS was assessed by clinical data mining. Network pharmacology was utilized to establish a network of the targets for XFC active ingredients in the treatment of AS. The binding mode and affinity of XFC active ingredients to the key targets for AS were predicted using molecular docking. Results: XFC significantly diminished immuno-inflammatory indicators of AS. In total, 208 targets of XFC were obtained from the TCMSP database and 629 disease targets of AS were screened from the GeneCards database, which were intersected to yield 57 targets of XFC in the treatment of AS. Protein-protein interaction, gene ontology, and Kyoto genome encyclopedia analyses showed that XFC might activate TNF and NF-κB signaling pathways. Quercetin, kaempferol, triptolide, and formononetin had free binding energies < -9 kcal/mol to inflammatory targets (TNF and PTGS2) in the molecular docking analysis of XFC-active ingredients, indicating that TNF and PTGS2 might be the targets of the action of XFC. Conclusions: Collectively, XFC had a significant therapeutic effect on AS. Specifically, the active ingredients of XFC, including quercetin, kaempferol, triptolide, and formononetin, inhibited the inflammatory response in AS by downregulating TNF and PTGS2 in the TNF and NF-κB signaling pathways.

Exploratory Compatibility Regularity of Traditional Chinese Medicine on Osteoarthritis Treatment: A Data Mining and Random Walk-Based Identification.

Osteoarthritis (OA) is a degressive and complex disease which is a growing public health problem on a global scale. On basis of an in-house database consisting of clinical records of 13,083 OA patients, the Traditional Chinese Medicine (TCM) was divided into 4 categories of medicines on the basis of the curative properties of herbs. Due to the lack of depth and internal relationship in the calculation results of TCM compatibility law data mining methods such as statistics and frequency analysis, we use a variety of multidimensional complex network methods that can efficaciously find the compatibility law of TCM, including similarity measure, graphical visualization of network diagram, random walking, and propensity score methods. We summarize common couplet medicines utilized for the treatment of osteoarthritis. The similarity measure method was used to investigate the commonly used drugs for the treatment of osteoarthritis. The method of association rule analysis is used to recognize the compatibility between the components. On basis of the propensity score methods, the evaluation displayed that, compared with single drug, the drug group increased ESR, CRP, C3, C4, IgG, and IgA more efficiently. Concluding, a random walk model was constructed to assess drug efficacy. After applying a random walk model, while revealing the compatibility among different components of TCM, their therapeutic efficacy against OA is analyzed. We obtained four groups of drug combination clusters by similarity measure and 11 pairs of highly connected drugs by association rules, which are cardinal drug combinations in the prescription for the treatment of OA. We also found that different traditional drug pairs were associated with different laboratory indexes, and drug combinations could better optimize laboratory indexes. This study presented that the TCM constituents complement one another. Besides, the therapeutic effects resulting from a variety of combinations of these constituents are quite different.

[Effect of Huangqin Qingre Chubi Capsules containing serum on oxidative stress and protein expression of AMPK and FoxO3a in rheumatoid arthritis patients].

To study the effect of Huangqin Qingre Chubi Capsules containing serum on the protein expressions of AMPK and FoxO3 a in peripheral blood mononuclear cells of patients with rheumatoid arthritis(RA), in order to explore the mechanism of anti-oxidation. Peripheral anticoagulant was collected from patients and normal people. Monocytes(PBMC) were isolated through density gradient centrifugation, and the logarithmic phase cells were cultured. Drug containing serum was prepared through intragastric admini-stration to SD rats. The rats were divided into five groups, namely normal group, model group, AMPK blocker group(compound C 10 µmol·L~(-1)), medium-dose HQC+AMPK blocker group, and middle-dose HQC group. The cell inhibition rate was calculated by MTT method. The levels of IL-1ß, IL-4, LPO, MDA, SOD and TAOC were detected by ELISA. The expressions of AMPK, p-AMPK, p-FoxO3 a and FoxO3 a were detected by Western blot. The HQC containing serum had an inhibitory effect on human monocytes in peripheral blood. The best concentration was observed in middle-dose HQC, and the best time was 24 hours. Middle-dose HQC group was better than model group, AMPK blocker group and middle-dose HQC + AMPK blocker group in terms of increase of SOD, p-AMPK, p-FoxO3 a and decrease of LPO. It was better than model group and AMPK blocker group in terms of increase of IL-4, TAOC, AMPK, FoxO3 a and decrease of IL-1ß, MDA. The differences were statistically significant(P<0.05 or P<0.01). The HQC containing serum may increase the levels of TAOC and SOD, decrease the level of MDA and LPO, activate AMPK, directly phosphorylate FOXO3 a, enhance its transcriptional activity, and improve the state of oxidative stress in RA patients.

[Study on characteristics and data mining of 464 cases of lung diseases in Xin'an Wang's medicine].

The purpose of this paper is to study the use rules of drugs for lung diseases in internal medicine department of Xin'an Wang's family, discuss the compatibility of common drugs for lung diseases, guide clinical application, and inherit Xin'an medicine. By retrospective study on lung diseases cases in Wang's internal medicine works, the lung diseases and use frequency of common drugs treated by Wang's medicine were counted, and the systematic clustering and association rule analysis of common drugs were conducted by using SPSS Statistic 20 and SPSS Modeler 18.0, respectively. The results showed that asthma, cold and cough were the main lung diseases treated by Wang's medicine, and the commonly used medicines included antitussive and antiasthmatic drugs, spleen-invigorating and dampness-removing drugs, and expectorants. The medicine taste was mainly bitter, pungent and sweet, with cold and warm properties in a balanced way, without severely cold or hot herbs, mainly attributing to the lung and stomach meridians. In clustering analysis, 10 drug combinations were obtained; association analysis showed that two, three, four association rules respectively had 11, 21, and 10 groups, and each drug group had 11, 16, and 5 items. Core combinations: Poria, Armeniacae Semen Amarum, Asteris Radix et Rhizome, Coicis Semen, Farfarae Flos, Dendrobii Caulis, Perilla Frutescens, Stemonae Radix, Citri Reticulatae Pericarpium, Cynanchi Stauntonii Rhizome et Radix, Meretricis Concha Cyclinae Concha, Belamcandae Rhizoma, and Pinelliae Rhizome. Xin'an Wang's medicine paid attention to the lung nature when treating lung diseases. Lung is a delicate organ, not resistant to coldness or heat, so severely cold or hot herbs shall not be used, and the clear and light drugs with functions of dispersing lung Qi, clearing phlegm evil, strengthening spleen, eliminating phlegm, and relieving cough and asthma are often used. Lung deficiency is a kind of deficiency of Qi and Yin, so both Qi and Yin shall be regulated. Deficiency of Yin would burn the lung and make the lung collaterals blocked. In this case, the lung collaterals shall be dredged for hemostasis. Long time of lung deficiency would hinder the distribution of body fluid, and lung shall be regulated to dissipate phlegm.

[Regularity of prescription medication of Xin'an Wang's internal medicine in treating stomach cramps based on data mining].

The study analyzes the medication rules of Xin'an Wang's internal medicine for treating stomach cramps by data mining technology,in order to provide reference for clinical medication. Through the summarization of the medical cases of stomach cramps treated by Xin'an Wang's doctors( Wang Ren-zhi,Wang Zhong-qi,Wang Le-tao),statistics was made for the frequency of symptoms,signs,syndromes and drugs in Office 2010. Apriori algorithm in IBM SPSS Modeler 14. 1,and SPSS Statistics 22. 0 were used for association rule analysis and cluster analysis. The results showed that the 310 prescriptions collected involved totally 322 syndromes( including symptoms and signs) and 336 drugs,with the cumulative dose of 4 072 times; the symptoms were correlated to the spleen and stomach,liver and gallbladder,and the heart system; syndrome differentiation was mainly based on liver-Qi invasion of the stomach,diet impairment to the stomach,deficiency of spleen and stomach and cold syndrome; commonly used drugs were Qi regulating drugs,phlegm eliminating drugs and blood circulation promoting and stasis removing drugs; high-frequency drug complex network diagram showed that Pinelliae Rhizoma,Aurantii Fructus,Trichosanthis Fructus,Allii Macrostemonis Bulbus were closely related; the analysis showed 12,20,and 17 two,three,and four association rules; cluster analysis showed 10 pairs of Trichosanthis Fructus-Allii Macrostemonis Bulbus,Pinelliae Rhizoma-Aurantii Fructus,and Aspongopus-Toosendan Fructus drug combinations. According to Xin' an Wang's doctors,stomach cramps are closely related to liver and spleen,Qi stagnation,phlegm and blood stasis are the standard.Xin'an Wang's doctors give the first priority on " deoppilation",focus on soothing the liver and spleen,activating Qi and eliminating phlegm,and promoting blood circulation,and refer to use modified Xiaoxianxiong Decoction and modified Gualou Xiebai Banxia Decoction based on symptoms.