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BACKGROUND:The use of blood flow restriction training in clinical rehabilitation is becoming more common,in part due to technological advances and increased interest in research and medicine. OBJECTIVE:To explore the global trend and development prospects of clinical rehabilitation-related blood flow restriction training application,identify research gaps,and propose future research directions. METHODS:Web of Science,PubMed,and Elsevier were searched for literature related to clinical rehabilitation using blood flow restriction training published from 2001 to 2022.A total of 515 articles were included for further review.Bibliometrics,exploratory factor analysis and cluster analysis were used to reveal the emerging research fields and topics. RESULTS AND CONCLUSION:First of all,the overall research trend of the number of published articles shows a steady rise.The United States is the main research area in this field,and universities contribute the most to journals.Secondly,a core group of authors,led by Loenneke JP,Abe T and Dankel SJ,has been formed,with less collaboration among highly productive authors.Finally,research on blood flow restriction training focuses on skeletal muscle rehabilitation,cognitive functional activity,and chronic disease rehabilitation in clinical rehabilitation,with particular attention to the application of blood flow restriction in the recovery of symptoms such as muscle atrophy,knee pain,and joint effusion after anterior cruciate reconstruction surgery.Theoretical research on low-pressure blood flow restriction that is effective in relieving musculoskeletal symptoms has been hot in recent years,which can systematically guide the musculoskeletal rehabilitation in clinical practice.In the future,clinicians will extend follow-up periods,register larger and more diverse sample sizes,and use randomization techniques to determine appropriate prescribing indications for rehabilitating patients,ensure clinical safety,and quantitatively analyze and develop rehabilitation protocols with the maximum effect at the minimum effective dose for different clinical populations.
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Objective To establish the UPLC fingerprint chromatogram combined with chemometric analysis for the quality evaluation of classical formula Linggui Zhugan Decoction.Methods SHIMADZU Shim-Pack GIST C18 column(100 mm×2.1 mm,2.0 μm)was used with acetonitrile-0.1%phosphoric acid aqueous solution as mobile phase,gradient elution;flow rate was 0.2 mL/min;the detection wavelength was 266 nm for the first 30 minutes and 235 nm for the last 36 minutes;the column temperature was 30℃.The UPLC fingerprint of Linggui Zhugan Decoction was established by Similarity Evaluation System for Chromatographic Fingerprint of TCM(2012.130723 version),and the common peak was determined and the similarity evaluation was carried out.Based on the peak area determination results of the common peak of the fingerprint,the quality of different batches of Linggui Zhugan Decoction was evaluated by chemometrics such as clustering analysis and principal component analysis.Results A total of 24 common peaks were confirmed and 14 components were identified by using reference substances.The similarity of 10 batches of Linggui Zhugan Decoction samples was greater than 0.950,which could be divided into two categories by chemometrics,and the principal component 1-4 were the main factors affecting its quality evaluation.OPLS-DA identified 6 differential markers.Conclusion The fingerprint research method established in the study is simple,reliable and reproducible.Through the method of fingerprint combined with chemometrics analysis,the differences between Linggui Zhugan Decoction from different origins of medicinal materials are identified,which provides a reference for the internal quality evaluation of Linggui Zhugan Decoction.
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Objective To discuss the medication law of Professor Gu Shizhe in the treatment of insomnia based on various data mining techniques.Methods Clinical information of patients of Professor Gu was collected from the hospital management information system of outpatient clinic of Beijing University of Chinese Medicine(BUCM)and BUCM Famous Elderly TCM Inheritance Research Integrated Platform from January 2018 to October 2022.Professor Gu's books,such as Zhi Zhen Zhi Yao,and Gu Jisheng,Gu Shizhe Yi An Yi Hua Jing Cui,and the medical records from CNKI were screened.WPS Office 5.2.1 was used to build a database of medicine data for Professor Gu's TCM prescriptions,and R 4.2.1 was used for descriptive analysis and Apriori association rule analysis.SPSS Statistics 26.0 was used for clustering analysis,combined with theoretical analysis,to extract Professor Gu's medication law and characteristics in the treatment of insomnia.Results A total of 307 prescriptions were included,involving 250 kinds of Chinese materia medica,among which 30 were high-frequency drugs.The top 5 most frequently used were Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle,Fossilizid,Poria,Bupleuri Radix,and Ziziphi Spinosae Semen.The meridians were mainly liver and lung meridian,and the properties were mainly warm and cold,and the tastes were mainly sweet and bitter.Five core drug groups were obtained by clustering analysis,including Xiaochaihu Decoction,Erchen Decoction,Huanglian Wendan Decoction,Suanzaoren Decoction,Xiaoyao Powder and other prescriptions.Conclusion The characteristics of Professor Gu's treatment of insomnia are to reconcile Shaoyang,clear the heart and soothe the mind;pay attention to yin and yang,regulate the liver;pay attention to the liver,gallbladder,spleen and stomach;the main idea of syndrome differentiation is to reconcile Shaoyang,run the Shaoyang cardinal,and at the same time regulate qi and benefit qi and nourishes yin.
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Objective To analyze the characteristics and distribution of TCM syndromes of advanced gastric cancer;To provide reference for the standardization and clinical research of TCM syndromes of advanced gastric cancer.Methods The four diagnosis information with advanced gastric cancer was retrospectively collected at Dongzhimen Hospital of Beijing University of Chinese Medicine from January 2010 to December 2020.And the investigation results were analyzed by combining principal component analysis and clustering analysis,so as to explore the distribution pattern of TCM syndromes of advanced gastric cancer.Results Totally 164 patients were included,involving 601 case-times.10 principal components were obtained through principal component analysis on 29 items of four diagnosis information.The four diagnosis information with factor coefficient>0.4 were selected and allocated to the 10 principal components.Then,based on the results of principal component analysis,clustering analysis was conducted to obtain the distribution proportion of the three types of TCM syndromes.According to the syndrome differentiation by professional clinicians,the results were followed by the frequency distribution as cold coagulation and blood stasis(356,59.28%),stomach yin deficiency(145,24.17%)and phlegm-heat accumulation(100,16.55%).Conclusion There are three basic TCM syndromes of advanced gastric cancer,which are cold coagulation and blood stasis,stomach yin deficiency and phlegm-heat accumulation.Cold coagulation and blood stasis occupies the largest proportion,and the treatment should be based on warming the middle to dissipate cold and promoting blood circulation to remove blood stasis.
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AIM To simultaneously determine the contents of neochlorogenic acid,caffeic acid,chlorogenic acid,cryptochlorogenic acid,hydroxysafflor yellow A,ferulic acid,senkyunolide I,senkyunolide H and senkyunolide A in Fuyang Granules,and to make chemical pattern recognition.METHODS The UHPLC was performed on a 35℃thermostatic Waters Acquity UPLC?BEH C18 column(150 mm×2.1 mm,1.7 μm),with the mobile phase comprising of acetonitrile-0.01%phosphoric acid flowing at 0.4 mL/min in a gradient elution manner,and the detection wavelengths were set at 278,322,325,390 nm.Then heatmap clustering analysis and principal component analysis were adopted.RESULTS Nine constituents showed good linear relationships within their own ranges(r>0.999 0),whose average recoveries were 93.89%-102.25%with the RSDs of 0.85%-2.88%.Different batches of samples from the same enterprises demonstrated consistent overall qualities,while the overall qualities of samples from different enterprises exhibited obvious differences.CONCLUSION This simple and accurate method can be used for the quality control of Fuyang Granules.
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Objective:To analyze the medication and compatibility law of TCM compound patents in the treatment of diabetic nephropathy (DN) based on data mining method; To provide basis for research and development of new drug in clinic.Methods:TCM compound patents for DN treatment were retrieved from national patent platform. Excel 2019 was used to conduct statistical analysis on drug frequency, property and taste and meridian. SPSS Modeler 18.0 and SPSS Statistic 26.0 were used for drug association rules and clustering analysis. The complex network of co-occurrence of core drugs was constructed with Cytoscape 3.9.0, and the potential of the correlation between new prescriptions and drugs was demonstrated.Results:A total of 261 TCM compound patents were included, including 438 kinds of Chinese materia medica. High-frequency drugs included Astragali Radix, Rehmanniae Radix, Salviae Miltiorrhizae Radix et Rhizoma, Lycii Fructus, etc. Drug categories were mainly deficiency tonic drugs. The properties and tastes were mainly cold and sweet, and the meridians were mainly liver and kidney meridians. The commonly used medicinal pair was Ganoderma-Rehmannine Radix. The commonly used triple medicinal combination was Notoginseng Radix et Rhizoma-Angelicae Sinensis Radix-Ganoderma. There were 7 groups of clustering medicines, including Notoginseng Radix et Rhizoma, Ganoderma, Angelicae Sinensis Radix, Euryales Semen, Rehmanniae Radix and Lycii Fructus. There were 5 groups of potential medicines, including Campsis Flos-Caulis Tinosporae Sinensis-Kalopanacis Radix-Fimbristylis Rigiduta Nees-Padicularisdis Dissectae Radix -Korshinsk Peashrub-Alismatis Fructus-Cynanchi Wallichii Radix. The core new prescriptions for treating DN were obtained through topological attribute analysis and screening.Conclusions:The national TCM compounds patents treatment for DN is based on the pathogenesis of this disease, which is characterized by deficiency in nature and excess in superficiality. It often uses methods such as tonifying qi and spleen, nourishing yin and tonifying kidney, promoting blood circulation and resolving blood stasis to improve clinical efficacy, providing ideas for the development of new drugs.
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Objective To evaluate the feasibility of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) for identification and cluster analysis of Streptococcus suis. Methods Eighteen clinical isolates biochemically identified as Streptococcus suis were pre-treated by smearing formic acid method and formic acid-acetonitrile extraction method. The identification results and protein profiles of MALDI-TOF-MS method were analyzed and compared. A self-constructed database of profiling with better pretreatment method was established, and cluster analysis was performed on the 18 strains of Streptococcus suis. At the same time, PFGE homology analysis was performed to compare the results of the two genotyping. Results Both pretreatment methods could accurately identify Streptococcus suis with scores above 2.1. The protein fingerprint of formic acid and acetonitrile extraction method had a smoother baseline, fewer miscellaneous peaks and more identifiable ion peaks. Comparison of the results of homology typing showed that the homology results of MALDI-TOF-MS were significantly different from those of PFGE. Conclusion MALDI-TOF-MS can accurately identify Streptococcus suis for the strains pre-treated with formic acid method or formic acid-acetonitrile extraction method, and the formic acid-acetonitrile extraction method can obtain a better protein mapping. MALDI-TOF-MS can play a certain role in typing, but it still has some limitations and cannot completely replace the PFGE.
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Objective:To explore the clinical characteristics and distribution of Tranditional Chinese Medicine (TCM) syndrome types of refractory tic disorders in children based on clustering analysis.Methods:A cross-sectional study. 183 children aged 3-18 years with refractory tic disorders from pediatric encephalopathy outpatient department of the First Teaching Hospital of Tianjin University of Traditional Chinese Medicine who met the inclusion criteria from October 2015 to January 2022 were recruited. Frequency descriptive analysis, systematic clustering analysis and principal component analysis were conducted by Microsoft Office Excel 2016 and IBM SPSS Statistics 26.0 to explore the clinical characteristics and syndrome distribution of the disease.Results:The TCM symptoms of 183 children with refractory tic disorders were clustered into 6 categories, and finally 5 types of syndrome were obtained, among which the syndrome of spleen deficiency and liver hyperactivity mixed with dampness accounted for the largest proportion (27.32%), followed by the syndrome of phlegm-fire disturbing spirit (21.31%), the syndrome of wind-heat invading lung (18.03%), the syndrome of phlegm-qi stagnation (17.49%), and the syndrome of dampness and yin deficiency (15.85%).Conclusion:Through the mining and analysis of the outpatient information of pediatric encephalopathy in our hospital, the common syndrome differentiation types of refractory tic disorder are obtained, which can provide a reference for the TCM syndrome differentiation types of refractory tic disorder in children.
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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.
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Artemisiae Argyi Folium is commonly used in clinical practice. Artemisiae Verlotori Folium, the dried leaves of Artemisia verlotorum, is often used as a folk substitute for Artemisiae Argyi Folium in Lingnan area. In this study, gas chromatography-triple quadrupole mass spectrometry(GC-MS) was used to detect the volatile oil components of 27 samples of Artemisiae Verlotori Folium and 13 samples of Artemisiae Argyi Folium, and the volatile components were compared between the two species. The internal standard method was combined with multi-reaction monitoring mode(MRM) to determine the content of six major volatile components. Hierarchical clustering analysis(HCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were carried out for the content data. The results showed that the Artemisiae Argyi Folium samples had higher content and more abundant volatile oils than the Artemisiae Verlotori Folium samples. Artemisiae Argyi Folium mainly had the components with lower boiling points, while Artemisiae Verlotori Folium mainly had the components with higher boiling points. Terpenoids were the main volatile components in Artemisiae Verlotori Folium(mainly sesquiterpenoids) and Artemisiae Argyi Folium(monoterpenoids). In addition, Artemisiae Argyi Folium had higher content of oxygen-containing derivatives than Artemisiae Verlotori Folium. Furthermore, the stoichiometric analysis showed that the two species could be distinguished by both HCA and OPLS-DA, indicating that the volatile components of the two were significantly different. This study can provide a scientific basis for the quality evaluation and data support for the local rational application of Artemisiae Verlotori Folium in Lingnan.
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Gas Chromatography-Mass Spectrometry , Chemometrics , Oils, Volatile , Drugs, Chinese Herbal , Plant Leaves , ArtemisiaABSTRACT
A gas chromatography-triple quadrupole mass spectrometry(GC-MS) method was established for the simultaneous determination of eleven volatile components in Cinnamomi Oleum and the chemical pattern recognition was utilized to evaluate the quality of essential oil obtained from Cinnamomi Fructus medicinal materials in various habitats. The Cinnamomi Fructus medicinal materials were treated by water distillation, analyzed using GC-MS, and detected by selective ion monitoring(SIM), and the internal standards were used for quantification. The content results of Cinnamomi Oleum from various batches were analyzed by hierarchical clustering analysis(HCA), principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA) for the statistic analysis. Eleven components showed good linear relationships within their respective concentration ranges(R~2>0.999 7), with average recoveries of 92.41%-102.1% and RSD of 1.2%-3.2%(n=6). The samples were classified into three categories by HCA and PCA, and 2-nonanone was screened as a marker of variability between batches in combination with OPLS-DA. This method is specific, sensitive, simple, and accurate, and the screened components can be utilized as a basis for the quality control of Cinnamomi Oleum.
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Gas Chromatography-Mass Spectrometry , Plant Oils , Oils, Volatile , Drugs, Chinese Herbal/analysis , Cluster AnalysisABSTRACT
OBJECTIVE@#To determine the volatile constituents and their contents in the roots of 5 cultivated Angelica dahurica and one wild A. dahurica and analyze the chemical relationship among the plants of A. dahurica.@*METHODS@#The essential oil was extracted from the roots of 5 cultivated plants of Angelica dahurica and one wild A. dahurica by water steam distillation. Gas chromatography-mass spectrometry (GC-MS) was used to separate and identify all the volatile oil components in the extracts, and their relative contents were calculated with area normalization method. We also conducted clustering analysis and principal component analysis of the volatile oil components.@*RESULTS@#We identified a total of 81 compounds from the roots of the 6 plants of Angelica dahurica, including 27 in Chuanbaizhi (Angelica dahurica cv. 'Hangbaizhi'), 34 in Hangbaizhi (Angelica dahurica cv. 'Hangbaizhi'), 24 in Qibaizhi (Angelica dahurica cv. 'Qibaizhi'), 32 in Yubaizhi (Angelica dahurica cv.'Qibaizhi'), 28 in Bobahizhi (Angelica dahurica cv.'Qibaizhi'), and 34 in Xinganbaizhi (Angelica dahuirca). These compounds included, in the order of their relative contents (from high to low), alkanes, olefins, esters, organic acids and alcohols. Among the common components found in the roots of all the plants of A. dahurica, nonylcyclopropane, cyclododecane and hexadecanoic acid were identified as the volatile oil components that showed the highest relative contents. Clustering analysis of the volatile oil components showed that wild Angelica dahurica (Xing'anbaizhi) and the 5 cultivated Angelica dahurica (Chuanbaizhi, Hangbaizhi, Qibaizhi, Yubaizhi, Bobaizhi) could be divided into two groups, and the cultivated Angelica dahurica could be divided into two subgroups: Chuanbaizhi, Yubaizhi and Hangbahizhi were clustered in one subgroup, and Qibaizhi and Bobaizhi in another. The results of principal component analysis was consistent with those of clustering analysis.@*CONCLUSION@#The main volatile oil components and their contents vary among the 6 plants of A. dahurica. Nonylcyclopropane, cyclododecane and hexadecanoic acid are the most abundant volatile oil components in all the plants of A. dahurica, which can be divided into two clusters.
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Angelica/chemistry , Gas Chromatography-Mass Spectrometry , Oils, Volatile/analysis , Palmitic Acid/analysis , Plant Roots/chemistryABSTRACT
Objective@#To investigate the spatio-temporal distribution characteristics of pulmonary tuberculosis in Ningbo City from 2015 to 2020, so as to provide insights into tuberculosis control.@*Methods@#The data of pulmonary tuberculosis cases in Ningbo City from 2015 to 2020 were collected from Tuberculosis Management Information System of China Disease Control and Prevention Information System, and were linked with the geographic information database of Ningbo Planning Design and Research Institute. The software SaTScan version 10.3 was employed for monthly spatio-temporal scanning and cluster analysis of reported pulmonary tuberculosis cases, populations, longitude and latitude in 153 townships of Ningbo City from 2015 to 2020. @*Results@#There were one class Ⅰ cluster and two class Ⅱ clusters of pulmonary tuberculosis cases in Ningbo City from 2015 to 2020, and the class Ⅰ cluster was centered in Song'ao Township and covered 37 townships, with aggregation time from January 1, 2015 to December 31, 2017, while class Ⅱ clusters were covered 38 tounships which were centered in Sanqishi Township of Yuyao County, and one township in Hangzhou Bay New Town. The aggregation time was from January to June in 2015 and 2016, from March to August between 2017 and 2019 and between May and October, 2020. The overall reported incidence of pulmonary tuberculosis appeared a tendency towards a decline in each township of Ningbo City from 2015 to 2020; however, the incidence of pulmonary tuberculosis was more than 80 per 100 thousand in Fuming Township of Yinzhou District and Juexi Township of Xiangshan County in 2020.@*Conclusions@#There were significant spatio-temporal clustering characteristics of pulmonary tuberculosis incidence at a township level in Ningbo City from 2015 to 2020, and the clusters were mainly concentrated in the central and eastern Ningbo City. The reported incidence of pulmonary tuberculosis is high in Fuming Township of Yinzhou District and Juexi Township of Xiangshan County, where targeted regional tuberculosis control strategies should be implemented.
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Objective:To analyze the quality differences among different germplasm resources of <italic>Artemisia argyi </italic>and to screen out the specific germplasm by comprehensively evaluating 14 quality traits of 100 germplasm resources. Method:Germplasm resources of <italic>A. argyi </italic>were collected from all over the country. The output rate of moxa and the content of total volatile oil in <italic>A. argyi</italic> leaves were determined,and the contents of 12 flavonoids and phenolic acids in<italic> A. argyi </italic>leaves were detected by ultra performance liquid chromatography(UPLC). The correlation analysis,principal component analysis and clustering analysis were used to comprehensively evaluate the quality of <italic>A. argyi</italic>. Result:There was rich genetic diversity of<italic> A. argyi</italic> germplasm resources,and the variation coefficients of 14 quality traits ranged from 25.67% to 127.34%,among which the coefficient of variation of chlorogenic acid,cryptochlorogenic acid,isoxiafotaside,isochlorogenic acid B and isochlorogenic acid A was more than 70%,with high variation. The output rate of moxa was negatively correlated with 9 quality traits,while the content of total volatile oil was positively correlated with 10 quality traits,and most of the flavonoids and phenolic acids had synergistic effects. 12 flavonoids and phenolic acids were analyzed by principal component analysis,and 4 principal components could be extracted. The highest contents of flavonoids and phenolic acids were found in S98(Hangzhou,Zhejiang province),S84(Longhui county,Shaoyang city,Hunan province),S66(Futian river town,Macheng city,Hubei province),S35 (Balihu town,Qichun county,Huanggang city,Hubei province),and S15 (Fudao town,Tangyin county,Anyang city,Henan province). The systematic clustering analysis showed that the 100 germplasm could be divided into four groups when the euclidean distance was 8.0,with 90,3,3,3 and 4 accessions in group Ⅰ,Ⅱ,Ⅲ and Ⅳ,respectively. The germplasm resources in group Ⅱ contained the highest content of flavonoids and phenolic acids,the group Ⅲ contained the highest content of total volatile oil and the group Ⅳ contained the highest output rate of moxa. Conclusion:The leaf quality of different <italic>A. argyi </italic>germplasms is different. This study can provide the basis for the quality evaluation and variety breeding of <italic>A. argyi</italic> germplasm resources.
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Volatile oil is the main effective component and an important quality indicator of Artemisia argyi leaves. In this study, 100 germplasm resources of A. argyi were collected from all the related habitats in China. The total volatile oils in A. argyi leaves were extracted by steam distillation and the content was determined by GC-MS. The result demonstrated that the content of total volatile oils was in the range of 0.53%-2.55%, with the average of 1.43%. A total of 39 chemical constituents were identified from the volatile oils, including 13 shared by the 100 germplasm resources. Clustering analysis of the 39 constituents showed that the 100 A. argyi samples were categorized into groups Ⅰ(9), Ⅱ(2), Ⅲ(66) and Ⅳ(23), and group Ⅲ had the most volatile medicinal components, with the highest content. Five principal components(PCs) were extracted from 13 shared constituents, which explained 73.454% of the total variance. PC1, PC2, and PC3 mainly reflected the pharmacological activity of volatile oils and the rest two the aroma information. The volatile oils identified in this study lay a foundation for variety breeding of and rational utilization of volatile oils in A. argyi leaves.
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Artemisia , Distillation , Oils, Volatile , Plant Breeding , Plant LeavesABSTRACT
To standardize the processing technology of Polygoni Multiflori Radix Praeparata and stabilize its quality, the similar change laws of Polygoni Multiflori Radix Praeparata with different processing methods and time were analyzed. The processing time of Polygoni Multiflori Radix Praeparata was studied at 24, 32, 40, 48 h, and 4 different processing methods were studied, namely stewed with black bean sauce, steamed, steamed with black bean sauce, and steamed with black bean sauce and rice wine. The content of stilbene glycosides and anthraquinones were determined by HPLC-DAD method. UV method was used to determine the content of polysaccharides, and HPLC-ELSD method was used to determine the monosaccharides and oligosaccharides. The comparative chart of content determination, cluster analysis and entropy weight TOPSIS model was used to find the similar change laws and time interval of different processing methods of Polygoni Multiflori Radix Praeparata. The results demonstrated that around 32 h, the content of nine components in Polygoni Multiflori Radix Praeparata with different processing methods had similar change laws, and the decoction pieces had a high quality, indicating that the four processing methods of Polygoni Multiflori Radix Praeparata are likely to be used as one type of decoction piece with the same name.
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Chromatography, High Pressure Liquid , Drugs, Chinese Herbal , Glycosides , Plant Roots , PolygonumABSTRACT
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.
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China , Data Mining , Drugs, Chinese Herbal , Medicine, Chinese Traditional , Nonprescription DrugsABSTRACT
OBJECTIVE: This study aimed to analyze the physical and pulmonary capacities of hospitalized patients with severe coronavirus disease and its correlation with the time of hospitalization and complications involved. METHODS: A total of 54 patients, aged ≥18 years of both sexes, were evaluated 2-4 months after hospital discharge in São Paulo, Brazil. The physical characteristics analyzed were muscle strength, balance, flexibility, and pulmonary function. The K-means cluster algorithm was used to identify patients with similar physical and pulmonary capacities, related to the time of hospitalization. RESULTS: Two clusters were derived using the K-means algorithm. Patients allocated in cluster 1 had fewer days of hospitalization, intensive care, and intubation than those in cluster 2, which reflected a better physical performance, strength, balance, and pulmonary condition, even 2-4 months after discharge. Days of hospitalization were inversely related to muscle strength, physical performance, and lung function: hand grip D (r=−0.28, p=0.04), Short Physical Performance Battery score (r=−0.28, p=0.03), and forced vital capacity (r=−0.29, p=0.03). CONCLUSION: Patients with a longer hospitalization time and complications progressed with greater loss of physical and pulmonary capacities.
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Humans , Male , Female , Adolescent , Adult , Patient Discharge , Coronavirus , Brazil , Cluster Analysis , Cross-Sectional Studies , Hand Strength , Hospitalization , Hospitals , LungABSTRACT
Background: Hong Qu glutinous rice wine (HQGRW) is brewed under non-aseptic fermentation conditions, so it usually has a relatively high total acid content. The aim of this study was to investigate the dynamics of the bacterial communities and total acid during the fermentation of HQGRW and elucidate the correlation between total acid and bacterial communities. Results: The results showed that the period of rapid acid increase during fermentation occurred at the early stage of fermentation. There was a negative response between total acid increase and the rate of increase in alcohol during the early fermentation stage. Bacterial community analysis using high-throughput sequencing technology was found that the dominant bacterial communities changed during the traditional fermentation of HQGRW. Both principal component analysis (PCA) and hierarchical clustering analysis revealed that there was a great difference between the bacterial communities of Hong Qu starter and those identified during the fermentation process. Furthermore, the key bacteria likely to be associated with total acid were identified by Spearman's correlation analysis. Lactobacillus, unclassified Lactobacillaceae, and Pediococcus were found, which can make significant contributions to the total acid development (| r| N 0.6 with FDR adjusted P b 0.05), establishing that these bacteria can associate closely with the total acid of rice wine. Conclusions: This was the first study to investigate the correlation between bacterial communities and total acid during the fermentation of HQGRW. These findings may be helpful in the development of a set of fermentation techniques for controlling total acid.
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Bacteria/isolation & purification , Wine/microbiology , Pediococcus/isolation & purification , Pediococcus/genetics , Pediococcus/metabolism , Time Factors , Acetobacter/isolation & purification , Acetobacter/genetics , Acetobacter/metabolism , Cluster Analysis , Sequence Analysis , Computational Biology , Principal Component Analysis , Fermentation , Microbiota , Hydrogen-Ion Concentration , Lactobacillus/isolation & purification , Lactobacillus/genetics , Lactobacillus/metabolismABSTRACT
Objective To analyze the epidemiological characteristics and spatiotemporal clustering of scarlet fever in Jinan, from 2014-2019, and to provide a basis for scarlet fever prevention and control. Methods The case data of scarlet fever in Jinan during 2013-2019 were extracted from the Chinese National Notifiable Infectious Disease Reporting System. Descriptive epidemiology and spatiotemporal rearrangement scanning methods were used to analyze the epidemiological characteristics and spatiotemporal distribution of scarlet fever. The RR values of scarlet fever in different towns (streets) were calculated, and the contour map of RR value was drawn. Results A total of 9 715 cases of scarlet fever were reported in Jinan from 2014 to 2019. During this period, the number of cases and the incidence rate showed a gradual increase, with two seasonal peaks in the winter and spring each year. Spatiotemporal clustering analysis detected a total of eight spatiotemporal aggregation areas, and the strongest one was in Licheng and Lixia Districts, from March 2017 to December 2019 (RR=3.45, LLR=577.88, P<0.001). The relative risk maps in each year from 2014 to 2019 were similar, and the areas with the highest risk were located in the central area of Jinan. Conclusion From 2014 to 2019, scarlet fever is highly prevalent in the central area of Jinan, with obvious spatial and temporal clustering. There are clustering areas in the central, southwest and eastern areas of Jinan, and there was a tendency for the disease to spread to Zhangqiu in the east and Pingyin in the southwest.