Raman Spectroscopy Analysis of The Temporal Heterogeneity in Lung Cell Carcinogenesis Induced by Benzo(a)pyrene / 生物化学与生物物理进展

ObjectiveTemporal heterogeneity in lung cancer presents as fluctuations in the biological characteristics, genomic mutations, proliferation rates, and chemotherapeutic responses of tumor cells over time, posing a significant barrier to effective treatment. The complexity of this temporal variance, coupled with the spatial diversity of lung cancer, presents formidable challenges for research. This article will pave the way for new avenues in lung cancer research, aiding in a deeper understanding of the temporal heterogeneity of lung cancer, thereby enhancing the cure rate for lung cancer. MethodsRaman spectroscopy emerges as a powerful tool for real-time surveillance of biomolecular composition changes in lung cancer at the cellular scale, thus shedding light on the disease’s temporal heterogeneity. In our investigation, we harnessed Raman spectroscopic microscopy alongside multivariate statistical analysis to scrutinize the biomolecular alterations in human lung epithelial cells across various timeframes after benzo(a)pyrene exposure. ResultsOur findings indicated a temporal reduction in nucleic acids, lipids, proteins, and carotenoids, coinciding with a rise in glucose concentration. These patterns suggest that benzo(a)pyrene induces structural damage to the genetic material, accelerates lipid peroxidation, disrupts protein metabolism, curtails carotenoid production, and alters glucose metabolic pathways. Employing Raman spectroscopy enabled us to monitor the biomolecular dynamics within lung cancer cells in a real-time, non-invasive, and non-destructive manner, facilitating the elucidation of pivotal molecular features. ConclusionThis research enhances the comprehension of lung cancer progression and supports the development of personalized therapeutic approaches, which may improve the clinical outcomes for patients.

El análisis estadístico implicativo y su uso en investigaciones de salud

Introducción: El análisis estadístico implicativo es un método basado en las técnicas estadísticas multivariadas, la teoría de la cuasi-implicación, la inteligencia artificial y el álgebra booleana. Se utiliza para modelar interrelaciones entre sujetos y variables que permiten la estructuración del conocimiento en forma de normas y reglas generalizadas. Objetivo: Caracterizar el análisis estadístico implicativo como herramienta del tratamiento de la información estadística en ciencias de la salud. Métodos: Se realizó una búsqueda de fuentes bibliográficas para caracterizar el método, y el uso en factores pronósticos y perfiles de organización funcional visual en patologías extrapolables a distintos tamaños de muestras. Desarrollo: El análisis estadístico implicativo organiza la información, favorece el tratamiento estadístico adecuado en el análisis de los datos y permite graficar los resultados. Igualmente, las reglas obtenidas conllevan a hipótesis de causalidad sin restringir el número de variables y el tamaño de la muestra. Su uso ha contribuido a estudios de factores pronósticos en patologías como el cáncer y de perfiles en el procesamiento visual en disléxicos. Conclusiones: El análisis estadístico implicativo crea hipótesis de causalidad a través de reglas metodológicas de relación entre las variables de estudio. Además, permite estructurar, analizar y comprender vínculos entre sujetos y variables de la investigación en salud.

Introduction: Implicative statistical analysis is a method based on multivariate statistical techniques, quasi-implication theory, artificial intelligence, and Boolean algebra. It is used to model interrelationships between subjects and variables that allow the structuring of knowledge in the form of generalized norms and rules. Objective: To characterize implicative statistical analysis as a tool for the processing of statistical information in health sciences. Methods: A search of bibliographic sources was carried out to characterize the method, and its use in prognostic factors and profiles of visual functional organization in pathologies that can be extrapolated to different sample sizes. Development: Implicative statistical analysis organizes information, favors the appropriate statistical treatment in the analysis of the data, and allows the results to be graphed. Likewise, the rules obtained lead to hypotheses of causality without restricting the number of variables and the size of the sample. Its use has contributed to studies of prognostic factors in pathologies such as cancer and profiles in visual processing in dyslexics. Conclusions: Implicative statistical analysis creates hypotheses of causality through methodological rules of relationship between study variables. In addition, it makes it possible to structure, analyze and understand links between subjects and variables of health research.

Comparison of chemical components of Lonicera fragrantissima and Lonicera japonica based on LC-MS / 中成药

AIM To compare the components difference between Lonicera fragrantissima Lindl.et Paxt.(LFL)and Lonicerae japonicae Flos(LJF),and to evaluate the medicinal value of LFL,so as to provide reference for the development and utilization of LFL and LJF.METHODS With 70%methanol as extraction solvent,the components were analyzed by UPLC-TOF-MS,and the contents of 20 components were determined by HPLC-QQQ-MS.The components difference was determined by multivariate statistical analysis.RESULTS A total of 52 components were identified in the buds of LFL and LJF.There were 4 different components in LJF,and the contents of 20 quantitative components were significantly different.The contents of isochlorogenic acid C,ferulic acid,luteolin and rutin in the buds of LFL were more than 2 times that of LJF,and the contents of marchanic acid and marchanin were 11.96 times and 37.23 times that of LJF respectively.Maganin,isochlorogenic acid A,maganic acid,rutin and dicomachanic acid are the key differentiating components of LFL and LJF.CONCLUSION The buds of LFL and LJF have similar species,but the content difference is obvious.The buds of LFL have important medicinal value,which need further development and utilization.

Urinary Metabolomics Aanlysis of Differences in Effect of Aconiti Coreani Radix and Typhonii Rhizoma on Gerbils with Stroke / 中国实验方剂学杂志

ObjectiveTo investigate the effects of Aconiti Coreani Radix and Typhonii Rhizoma on the urinary metabolites of gerbils with stroke by non-targeted metabolomics technique， and then to clarify the mechanism of the two， as well as their similarities and differences. MethodTwenty-four gerbils were randomly divided into control group（CG）， model group（MG）， Aconiti Coreani Radix group（RA） and Typhonii Rhizoma group（RT）. Except for the CG， ischemic stroke model was constructed using right unilateral ligation of gerbil carotid artery in the remaining groups. Except for the CG and MG， rats in the other groups received whole powder suspension（0.586 mg·g-1） was administered for 14 days. The neurological deficit in each group was scored by Longa scoring on days 0， 3， 7 and 14. After the end of administration， the serum， brain tissue and urine of gerbils in each group were collected， and the rate of cerebral infarction was detected by 2，3，5-triphenyltetrazolium chloride（TTC）， and the levels of interleukin（IL）-6， tumor necrosis factor（TNF）-α， malondialdehyde（MDA）， superoxide dismutase（SOD）， glutathione（GSH）， and nitric oxide（NO） in serum and brain tissue were determined by enzyme-linked immunosorbent assay（ELISA）. The urine metabolomics of gerbils in each group was studied by ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Orbitrap-MS）， and the data were processed by multivariate statistical analysis， and differential metabolites were screened based on value of variable importance in the projection（VIP） of the first principal component>1 and t-test P<0.05. Metabolic pathway analysis of the screened differential metabolites was performed using Kyoto Encyclopedia of Genes and Genomes（KEGG） database and Metaboanalyst 5.0. ResultCompared with the CG， the neurological deficit score was significantly increased in the MG（P<0.05）， compared with the MG， the neurological deficit scores in the RA and RT were significantly reduced after 7 d and 14 d（P<0.05）. Compared with the CG， the rate of cerebral infarction was significantly increased in the MG（P<0.05）， compared with the MG， the rates of cerebral infarction in the RA and RT were significantly reduced（P<0.05）. Compared with the CG， the levels of IL-6， TNF-α， and MDA in the serum and brain tissue of gerbils from the MG were significantly increased（P<0.05）， and the levels of SOD， GSH and NO were significantly reduced（P<0.05）. Compared with the MG， Aconiti Coreani Radix and Typhonii Rhizoma could down-regulate the levels of IL-6， TNF-α and MDA， and up-regulated the levels of SOD， GSH and NO. A total of 112 endogenous differential metabolites were screened by urine metabolomics， of which 16 and 26 metabolites were called back by Aconiti Coreani Radix and Typhonii Rhizoma， and could be used as potential biomarkers for both treatments in stroke gerbils， respectively. The results of the pathway analysis showed that both Aconiti Coreani Radix and Typhonii Rhizoma had regulatory effects on arginine and proline metabolism， pyrimidine metabolism， and aminoacyl-tRNA biosynthesis. In addition， Aconiti Coreani Radix could also regulate riboflavin metabolism， Typhonii Rhizoma could also regulate purine metabolism， glycine， serine and threonine metabolism， arachidonic acid metabolism， biosynthesis of pantothenate and coenzyme A， and β-alanine metabolism. ConclusionBoth Aconiti Coreani Radix and Typhonii Rhizoma have better therapeutic effects on stroke， with Aconiti Coreani Radix having stronger effects. From the metabolomics results， the main metabolic pathways regulated by Aconiti Coreani Radix involve amino acid metabolism， oxidative stress and so on， while Typhonii Rhizoma mainly involve amino acid metabolism， lipid metabolism， energy metabolism， etc.

Effects of Different Processing Methods on the Volatile Components of Amomi Fructus Based on GC-MS and Multivariate Statistical Analysis / 医药导报

Objective To analyze the influence of different processing methods,including frying,ginger frying,and salt frying,on the volatile components of A.fructus.Methods The volatile components in different processed products of A.fructus were detected and analyzed by gas chromatography-mass spectrometry(GC-MS)based on multivariate statistical analysis.After OPLS-DA analysis,the different components were screened under the conditions of VIP＞1.5 and P＜0.05 and were qualitatively searched using the NIST 11 spectral library.Results A total of 49 different components were identified,with 14 components only changing in the seed mass and 22 components changing in the peel.The content of camphor could be significantly reduced in the seed mass after A.fructus was processed and the content of bornyl acetate significantly increased in the peel of frying A.fructus.Salt frying had a great influence on the alkanes in A.fructus,and ginger processing did not only increase the volatile components in ginger,which reflected the complexity of the processing mechanism.Conclusion At present,the specific processing mechanism is not clear,but the experimental results provide theoretical data for the "detoxification and efficiency enhancement" effect of A.fructus processing,reflecting the scientific nature of the processing,enriching the processing theory of A.fructus,and providing a reference for further in-depth research on the activity of different processed products of A.fructus.

Assessment of the spread of the COVID-19 pandemic in Georgia: the specifics of its management from 2019 to 2022

This research paper aims to assess the spread of the COVID-19 pandemic in Georgia from 2019 to 2022 and evaluate the management methods used in different regions. The research methodology involved analyzing reports and statistics published by the Ministry of Health of Georgia and the Center for Disease Control. The study is based on data from 2019 to the present. Research methodology is a mixed method that combines both qualitative and quantitative methods-meta-analysis. The findings indicate that the spread of COVID-19 in Georgia was not uniform across different regions. Tbilisi had the highest cases, followed by West Georgia and East Georgia. The government of Georgia implemented a range of measures to manage the pandemic, including social distancing, the use of face masks, and restrictions on movement. A combination of factors, including public health measures and regional differences, influenced the spread of COVID-19 in Georgia. The research paper provides insights into managing the COVID-19 pandemic in Georgia and highlights the importance of evidence-based strategies for controlling the spread of infectious diseases.

Coeficientes V de Aiken: diferencias en los juicios de validez de contenido / Aiken's V Coefficient: Differences in Content Validity Judgments / Coeficientes Aiken V: Diferenças nos julgamentos de validade do conteúdo

Resumen: Objetivo: Cuando es estudiada la validez de contenido en dos grupos independientes de jueces expertos, se requiere hacer una prueba formal de las diferencias entre sus juicios, dado que es posible obtener distintos juicios de validez de contenido. Pero, generalmente, la investigación de la validez de contenido no examina esta posible fuente de discrepancias. El presente reporte describe la implementación de un método para evaluar la diferencia de coeficientes V de Aiken aplicado al trabajo investigativo en ciencias del deporte. Metodología: El procedimiento aplica una adaptación para construir el intervalo de confianza de la diferencia entre coeficientes V de Aiken y también implementa un estimador estandarizado del tamaño de la distinción entre los coeficientes V, específicamente, la transformación arcoseno de coeficientes V. Resultados: Se desarrollan dos ejemplos, en un marco de análisis secundario de datos, y se demuestra la diferencia entre la conclusión con base impresionista y la conclusión con base empírica y evaluación formal. Se detectaron distinciones estadísticas no observadas previamente. Conclusiones e implicaciones: El método que estima diferencias de coeficientes de validez de contenido V de Aiken para la investigación permite un avance en la metodología que valida instrumentos de medición. Se valora la aplicabilidad de este procedimiento en el contexto de ciencias del deporte y ciencias de la educación, así como en el diseño de la investigación.

Abstract: Objective: When two independent groups of expert judges study content validity, a formal test of the differences between their judgments is required, since different content validity judgments can be obtained. But generally, content validity research does not examine this likely source of discrepancies. This report describes the implementation of a method to evaluate the difference in Aiken's V coefficients applied to research work in sports science. Methodology: The procedure applies an adaptation to construct the confidence interval of the difference between Aiken's V coefficients and also implements a standardized estimator of the size of the difference between the V coefficients, specifically the arcsine transformation of V coefficients. Results: In a secondary data analysis framework, two examples are developed, extracting data from both publications, and the difference between the impressionist-based conclusion and the empirical-based conclusion and formal evaluation is demonstrated. Statistical differences not previously observed were detected. Conclusions and implications: The method to estimate differences in Aiken's content validity coefficients for research allows an advance in the methodology to validate measurement instruments. The applicability of this procedure in the context of sports sciences and education sciences, as well as in the research design involved, is assessed.

Resumo: Objetivo: Quando a validade do conteúdo é estudada em dois grupos independentes de juízes especialistas, é necessário um teste formal das diferenças entre seus julgamentos, uma vez que é possível obter diferentes julgamentos de validade de conteúdo. Mas a pesquisa de validade do conteúdo geralmente não examina esta possível fonte de discrepâncias. Este relatório descreve a implementação de um método para avaliar a diferença dos coeficientes V de Aiken aplicada ao trabalho de investigação das ciências do desporto. Metodologia: O procedimento aplica uma adaptação para construir o intervalo de confiança da diferença entre os coeficientes V de Aiken, e também implementa um estimador estandardizado do tamanho da diferença entre os coeficientes V, especificamente a transformação arco-seno dos coeficientes V. Resultados: Dois exemplos são desenvolvidos em uma estrutura secundária de análise de dados, e a diferença entre a conclusão baseada no impressionismo e a conclusão baseada no empirismo com avaliação formal é demonstrada. Diferenças estatísticas não observadas anteriormente foram detectadas. Conclusões e implicações: O método para estimar as diferenças nos coeficientes de validade do conteúdo V de Aiken para a pesquisa permite um avanço na metodologia de validação dos instrumentos de medição. A aplicabilidade deste procedimento no contexto da ciência do esporte e da ciência educacional, assim como no projeto de pesquisa, é avaliada.

Análisis estadístico implicativo para identificar factores pronósticos de mortalidad por linfomas en niños y adolescentes

Fundamento: el análisis estadístico implicativo surgió en los años 80 para resolver problemas de la didáctica de las matemáticas. Recientemente se fundamentó su empleo en las Ciencias Médicas para identificar factores de riesgo y pronósticos. Objetivo: evaluar la utilidad del análisis estadístico implicativo en la identificación de los factores pronósticos que más inciden en la mortalidad por linfomas en niños y adolescentes. Método: se realizó un estudio de casos y controles en niños y adolescentes con diagnóstico de linfoma Hodgkin y no Hodgkin atendidos en el Hospital Docente Pediátrico Sur Dr. Antonio María Béguez César de Santiago de Cuba en el período de enero 2008 a enero 2021. Se analizó como variable dependiente el estado del paciente fallecido o vivo al momento del estudio y como covariables se tomaron: el estadio de mal pronóstico, la presencia de síntomas B, el subtipo histológico, la presencia de tres o más sitios extraganglionares, la metástasis, edad y presencia de masa tumoral. Se aplicaron dos técnicas estadísticas, la regresión logística binaria y el análisis estadístico implicativo. Resultados en los casos fue más frecuente el linfoma no Hodgkin mientras que en los controles predominó el Hodgkin. Ambas técnicas reconocieron el subtipo histológico y la afectación extraganglionar como factores pronósticos desfavorables. El análisis estadístico implicativo reconoció además el estadio y la presencia de metástasis. Conclusión: el análisis estadístico implicativo es una técnica que complementa la regresión logística binaria en la identificación de factores pronósticos, lo que permite mejor comprensión de la causalidad.

Background: the implicative statistical analysis arose in the 80s to solve problems in the didactics of mathematics. Its use in the Medical Sciences to identify risk factors and prognoses was recently founded. Objective: to evaluate the usefulness of the implicative statistical analysis in the identification of the prognostic factors that most affect mortality from lymphomas in children and adolescents. Method: a case-control study was carried out in children and adolescents diagnosed with Hodgkin and non-Hodgkin lymphoma treated at the Dr. Antonio María Béguez César Sur Pediatric Teaching Hospital in Santiago de Cuba from January 2008 to January 2021. The state of the deceased or alive patient at the time of the study was analyzed as the dependent variable and the following were taken as covariates: poor prognosis stage, presence of B symptoms, histological subtype, presence of three or more extranodal sites, metastasis, age and presence of tumor mass. Two statistical techniques were applied: binary logistic regression and implicative statistical analysis. Results: non-Hodgkin's lymphoma was more frequent in the cases, while Hodgkin's lymphoma predominated in the controls. Both techniques recognized the histological subtype and extranodal involvement as unfavorable prognostic factors. The implicative statistical analysis also recognized the stage and the presence of metastases. Conclusion: the implicative statistical analysis is a technique that complements the binary logistic regression in the identification of prognostic factors, which allows a better understanding of causality.

Quality Marker （Q-marker） of Tinosporae Radix Associated with Efficacy of "Relieving Sore Throat" / 中国实验方剂学杂志

ObjectiveTo study the potential quality marker （Q-marker） of Tinosporae Radix associated with efficacy of "relieving sore throat" based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS）， multivariate statistical analysis （MSA）， and network pharmacology. MethodUPLC-Q-TOF-MS was used to identify the main chemical components in 18 batches of Tinosporae Radix. On this basis， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were employed to screen out the main marker components that caused differences between groups. Moreover， network pharmacology technology was applied to predict the potential "sore throat-relieving" components， and the molecular docking between the common components resulting from MSA and network pharmacology and the core targets was carried out to verify the marker components. ResultA total of 17 compounds， including alkaloids， diterpenoid lactones， and sterols， were identified by UPLC-Q-TOF-MS. Five main differential components were found by MSA： Columbamine， jatrorrhizine， palmatine， menisperine， and columbin. Network pharmacology analysis yielded six compounds： tetrahydropalmatine， palmatine， menisperine， fibleucin， neoechinulin A， and columbin which were selected as potential "sore throat-relieving" components of Tinosporae Radix. They may relieve sore throat by acting on interleukin-6， epidermal growth factor receptor， prostaglandin G/H synthase 2， matrix metalloproteinase-9， proto-oncogene tyrosine-protein kinase Src and other targets， and regulating Hepatitis B， influenza A， human T-cell virus infection， human cytomegalovirus infection， coronavirus disease-2019， and other signaling pathways. The common active components in Tinosporae Radix resulting from MSA and network pharmacology analysis were palmatine， menisperine， and columbin， which had high binding affinity with six core targets and can be used as the Q-marker components of Tinosporae Radix in "relieving sore throat". ConclusionThis study predicts the "sore throat-relieving" Q-marker of Tinosporae Radix， which lays a basis for developing the quality standard of Tinosporae Radix based on the efficacy and improving the quality evaluation system of the medicinal.

Differential analysis of coumarins in Angelica dahurica from different origins / 中国药房

OBJECTIVE To screen the differential components of coumarins in Angelica dahurica from two origins （A. dahurica cv.‘ Hangbaizhi’； A. dahurica cv.‘ Qibaizhi’）. METHODS Non-targeted metabolomics technique of UPLC-Q-Exactive- MS/MS was used to analyze the coumarins in 6 batches of A. dahurica cv. ‘Hangbaizhi’ and 12 batches of A. dahurica cv. ‘Qibaizhi’. The differential components were screened by principal component analysis， partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis. Cluster analysis was performed on differential components. RESULTS A total of 41 coumarins were identified in 18 batches of samples， in which 23 coumarins were differential components. Therein， 6 differential components were higher in content in A. dahurica cv.‘ Hangbaizhi’， while 17 differential components were higher in content in A. dahurica cv.‘ Qibaizhi’. The content of marmesin galactoside in A. dahurica cv.‘ Hangbaizhi’ was significantly higher than that in A. dahurica cv.‘ Qibaizhi’. Based on 23 differential components， A. dahurica cv.‘ Hangbaizhi’ and A. dahurica cv. ‘Qibaizhi’ could be grouped into one category， respectively. CONCLUSIONS The screened differential components of coumarins can be used to distinguish A. dahurica cv. ‘Hangbaizhi’ from A. dahurica cv. ‘Qibaizhi’， especially marmesin galactoside contributed the most， which can be used to identify A. dahurica cv.‘ Hangbaizhi’ and A. dahurica cv.‘ Qibaizhi’.

GC-MS Analysis of Effect of Different Processing Conditions on Irritation of Magnoliae Officinalis Cortex / 中国实验方剂学杂志

ObjectiveTo investigate the key compounds affecting the irritation and to clarify the effect of heating and the addition of ginger juice as the auxiliary material during the processing on the irritation of Magnoliae Officinalis Cortex（MOC） by comparing the irritation and composition of volatile oil in MOC and its different processed products. MethodVolatile oil in raw products， water-processed products， ginger-dried products， ginger-fried products（the amounts of ginger were 10%， 50%， respectively） of MOC were extracted by steam distillation and subjected to rabbit eye irritation experiment， and the volatile components of each sample were detected by gas chromatography-mass spectrometry（GC-MS）. Principal component analysis（PCA）and orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to analyze the data of each sample by SIMCA 14.1. The relative contents of different processed products were compared two by two with those of and raw products or ginger-fried products， and the markers that might be related to the irritation were sorted out according to the principles of variable importance in the projection（VIP） value >1 and P<0.05， and the factors influencing the differences in irritation were analyzed. ResultCompared with the blank group， the administration groups all had irritation to the eyes of rabbits， and the degree of irritation was in the order of raw products>water-processed products>ginger-dried products>ginger-fried products（10%）>ginger-fried products（50%）. The results of PCA and OPLS-DA showed that there were differences in the volatile oil from raw products and different processed products. According to VIP value>1 and P<0.05， and combined with the results of eye irritation experiment， ten volatile compounds related to irritation changes were screened out. Among them， cis-cinnamaldehyde was only detected in raw products， the relative contents of β-caryophyllene， （+）-delta-cadinene， α-humulene， γ-muurolene， （-）-isoledene and citral all increased to different degrees， the contents of p-cymene， 1（10）-4-cadinadien-15-ol and β-eudesmol all decreased to different degrees. ConclusionThe irritation of MOC is reduced after heating and processing with ginger juice， and the synergistic effect of both is more effective for reducing irritation. Among the differential markers associated with changes in irritation， the increase in the relative content of citral is closely related to the addition of ginger juice， while the decrease in the relative contents of cis-cinnamaldehyde， p-cymene， 1（10）-4-cadinadien-15-ol is related to heating， and the changes of other components may be related to the synergistic effect of heating and ginger juice.

Study on quality standard of Yi medicine Gynura japonica and quality evaluation of medicinal materials from different producing areas / 中国药房

OBJECTIVE To improve the quality standard of Yi medicine Gynura japonica， and to evaluate its quality. METHODS Using 15 batches of G. japonica from different producing areas as samples， the contents of water， total ash， acid- insoluble ash and water-soluble extract were determined according to the method stated in part Ⅳ of Chinese Pharmacopoeia （2020 edition）. The contents of total alkaloid （calculated by senecionine） was determined by UV spectrophotometry. The contents of senecionine and seneciphylline were determined by HPLC. Using above 7 indexes as evaluation indexes， cluster heat map analysis， principal component analysis （PCA） and entropy weight approximation ideal ranking （TOPSIS） were used to evaluate the quality of medicinal material comprehensively. RESULTS Among 15 batches of G. japonica， the moisture contents were 8.88%-12.60%， the total ash contents were 4.43%-11.02%， the acid-insoluble ash contents were 0.56%-3.45%， the water-soluble extract contents were 21.71%-53.91%， the total alkaloid contents （calculated by senecionine） were 0.15%-0.39%， and the contents of senecionine and seneciphylline were 0.01% -0.05% and 0.01%-0.06% respectively. According to the results of various indicators， it was preliminarily proposed that the water content in the sample of G. japonica should not exceed 13.00%， the total ash content should not exceed 11.50%， the acid-insoluble ash content should not exceed 3.70%， the water-soluble extract should not be less than 20.70%， the total alkaloid content should not be less than 0.15%， the contents of senecionine and seneciphylline should not be less than 0.01% both. The results of cluster heat map analysis showed that the 15 batches of samples could be divided into four categories； the results of PCA and TOPSIS showed that the samples with high-quality ranking were jsq-2， jsq-5， jsq-6 and jsq-10， and the samples with low-quality ranking were jsq-4， jsq-13 and jsq-14. CONCLUSIONS In this study， the quantitative analysis method of total alkaloids （calculated by senecionine）， senecionine and seneciphylline in G. japonica is established， and the limits of each index are preliminarily determined. Among 15 batches of samples， the qualities of medicinal material collected from Linza Village of Ganluo County of Liangshan Yi Autonomous Prefecture， Machangping Village of Luojishan Town of Puge County of Liangshan Yi Autonomous Prefecture and other places are better.

Comprehensive quality evaluation of Periploca forrestii produced in Guizhou using multi-index components combined with multivariate statistical analysis / 中国药房

OBJECTIVE To establish comprehensive quality evaluation method based on multi-index components combined with multivariate statistical analysis， and to comprehensively evaluate the quality of Periploca forrestii. METHODS Taking 11 batches of P. forrestii medicinal materials from different areas in Guizhou as samples， the contents of neochlorogenic acid， cryptochlorogenic acid， chlorogenic acid， procyanidin A2， isochlorogenic acid A and isochlorogenic acid C were determined by HPLC. Clustering heat map analysis， grey correlation analysis（GRA） and technique for order preference by similarity to ideal solution（TOPSIS） were used to evaluate the quality of P. forrestii. RESULTS The results of methodological investigation of content determination were in accordance with the relevant regulations， and the linear relationship and accuracy of each component were good in their respective sampling range. The contents of chlorogenic acid， cryptochlorogenic acid， neochlorogenic acid， procyanidin A2， isochlorogenic acid A and isochlorogenic acid C in 11 batches of samples were 3.650-7.302， 0.888-2.575， 1.371- 2.386， 0.947-1.469， 0.084-0.169 and 0.725-1.067 mg/g， respectively. The content of each component was significantly different， with the highest content of chlorogenic acid and the lowest content of isochlorogenic acid A. The comprehensive results of cluster heat map， GRA and TOPSIS analysis showed that the comprehensive quality of S5 and S10 was relatively good. CONCLUSIONS The established method is accurate， stable and simple. Combined with multivariate statistical analysis method， it can be used for quality evaluation of P. forrestii. The quality of samples from Jiuzhou Town and Caiguan Town of Xixiu District in Anshun City of Guizhou Province are relatively good among 11 different origin samples.

Effect of processing method on chemical constituents of Rehmanniae Radix: based on UHPLC-LTQ-Orbitrap MS / 中国中药杂志

This study aims to explore the chemical composition of Rehmanniae Radix braised with mild fire and compare the effect of processing method on the chemical composition of Rehmanniae Radix. To be specific, ultra-high performance liquid chromatography with linear ion trap-orbitrap mass spectrometry(UHPLC-LTQ-Orbitrap MS) was used to screen the chemical constituents of Rehmanniae Radix. The chemical constituents were identified based on the relative molecular weight and fragment ions, literature information, and Human Metabolome Database(HMDB). The ion peak area ratio of each component before and after processing was used as the index for the variation. SIMCA was employed to establish principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) models of different processed products. According to the PCA plot, OPLS-DA plot, and VIP value, the differential components before and after the processing were screened out. The changes of the content of differential components with the processing method were analyzed. A total of 66 chemical components were identified: 57 of raw Rehmanniae Radix, 55 of steamed Rehmanniae Radix, 55 of wine-stewed Rehmanniae Radix, 51 of repeatedly steamed and sundried Rehmanniae Radix Praeparata, 62 of traditional bran-braised Rehmanniae Radix, and 63 of electric pot-braised Rehmanniae Radix. Among them, the 9 flavonoids of braised Rehmanniae Radix were from Citri Reticulatae Pericarpium. PCA suggested significant differences in the chemical composition of Rehmanniae Radix Praeparata prepared with different processing methods. OPLS-DA screened out 32 chemical components with VIP value >1 as the main differential components. Among the differential components, 9 were unique to braised Rehmanniae Radix(traditional bran-braised, electric pot-braised) and the degradation rate of the rest in braised(traditional bran-braised, electric pot-braised) or repeatedly steamed and sundried Rehmanniae Radix was higher than that in the steamed or wine-stewed products. The results indicated the chemical species and component content of Rehmanniae Radix changed significantly after the processing. The 32 components, such as rehmapicrogenin, martynoside, jionoside D, aeginetic acid, hesperidin, and naringin, were the most important compounds to distinguish different processed products of Rehmanniae Radix. The flavonoids introduced by Citri Reticulatae Pericarpium as excipient may be the important material basis for the effectiveness of braised Rehmanniae Radix compared with other processed products.

Discrimination of cultivation modes of Dendrobium nobile based on content of mineral elements and ratios of nitrogen stable isotopes / 中国中药杂志

This study explored the feasibility of mineral element content and ratios of nitrogen isotopes to discriminate the cultivation mode of Dendrobium nobile in order to provide theoretical support for the discrimination of the cultivation mode of D. nobile. The content of 11 mineral elements(N, K, Ca, P, Mg, Na, Fe, Cu, Zn, Mn, and B) and nitrogen isotope ratios in D. nobile and its substrate samples in three cultivation methods(greenhouse cultivation, tree-attached cultivation, and stone-attached cultivation) were determined. According to the analysis of variance, principal component analysis, and stepwise discriminant analysis, the samples of different cultivation types were classified. The results showed that the nitrogen isotope ratios and the content of elements except for Zn were significantly different among different cultivation types of D. nobile(P<0.05). The results of correlation analysis showed that the nitrogen isotope ratios, mineral element content, and effective component content in D. nobile were correlated with the nitrogen isotope ratio and mineral element content in the corresponding substrate samples to varying degrees. Principal component analysis can preliminarily classify the samples of D. nobile, but some samples overlapped. Through stepwise discriminant analysis, six indicators, including δ~(15)N, K, Cu, P, Na, and Ca, were screened out, which could be used to establish the discriminant model of D. nobile cultivation methods, and the overall correct discrimination rates after back-substitution test, cross-check, and external validation were all 100%. Therefore, nitrogen isotope ratios and mineral element fingerprints combined with multivariate statistical analysis could effectively discriminate the cultivation types of D. nobile. The results of this study provide a new method for the identification of the cultivation type and production area of D. nobile and an experimental basis for the quality evaluation and quality control of D. nobile.

Quality evaluation of Cnidii Fructus in commodity grade based on theory of "quality evaluation through morphological identification" / 中国中药杂志

From the perspective of market classification of Cnidii Fructus, this paper revealed the scientific connotation of evaluating the quality grade of Cnidii Fructus by its appearance traits. Thirty batches of Cnidii Fructus in different grades were selected as the research objects. The canonical correlation analysis and principal component analysis(PCA) were used to explore the measurement values of 15 appearance traits and intrinsic content indexes. The results of correlation analysis showed that except the aspect ratio, the 5 appearance trait indexes(length, width, 1 000-grain weight, broken grain weight proportion, and chroma) and 9 internal content indexes(the content of moisture, total ash, acid insoluble ash, osthole, imperatorin, 5-methoxy psoralen, isopimpinellin, xanthotoxin, and xanthotol) showed significant correlation to varying degrees. In addition, there was a significant positive correlation between the first typical variable U_1 composed of appearance traits and the first typical variable V_1 composed of internal content indexes(CR_1=0.963, P<0.01). The results of PCA showed that the classification results of appearance traits for 30 batches of Cnidii Fructus were consistent with the actual information of the samples. Under the same analysis conditions, 30 batches of Cnidii Fructus were reclassified by 9 groups of internal content indexes, and the analysis results were consistent. From the classification standard of the appearance traits of the system study, the statistical results of 6 appearance traits of Cnidii Fructus showed a correlation with grades. There was a good correlation between the appearance and the internal content of Cnidii Fructus, and the appearance quality effectively predicted the level of the internal content. There is a certain scientific basis for the quality classification of Cnidii Fructus by main appearance traits. Appearance classification can replace quality grading to realize the "quality evaluation through morphological identification" of Cnidii Fructus.

Comprehensive quality evaluation of Shiliang tea based on HPLC-QAMS combined with multivariate statistical analysis and E-TOPSIS method / 中国药师

Objective To determine 10 components in Shiliang tea by high performance liquid chromatography-quantitative analysis of multi-components with a single-marker(HPLC-QAMS),and to evaluate its comprehensive quality by multivariate statistical analysis and entropy-technique for order preference by similarity to ideal solution(E-TOPSIS).Methods The determination was performed on COSMOSIL ?5 C18-MS-Ⅱ column(250 mm×4.6 mm,5 μm)with mobile phase consisted of acetonitrile-0.1％ phosphoric acid solution and gradient elution at the flow rate of 1.0 mL·min-1,and the detection wavelength was set at 360 nm and 222 nm.The contents of scopolin,scopoletin,isofraxidin,rutoside,kaempferol-3-O-rutinoside,astragalin,scoparone,quercetin,kaempferol and mcalycanthine in 18 batches of Shiliang tea were calculated according to QAMS using rutoside as internal reference.The content data of 18 batches of Shiliang tea were analyzed chemometrically using statistical software;the quality of Shiliang tea was evaluated comprehensively using E-TOPSIS method.Results Good separation was obtained for all 10 components and showed good linearity with peak area in their respective scopes(r>0.999 0).The average recovery rates were 96.98％ -100.12％ (RSD<2.0％ ,n=9).The average relative correction factors for rutoside and the other 9 components were 2.115 7,2.592 4,0.553 1,0.897 6,0.780 7,1.159 3,0.693 6,1.458 3 and 0.6017(RSD<2.0％ ,n=6),and there was no significant difference between the contents obtained by QAMS and external standard method for each component.The results of multivariate statistical analysis showed that the cumulative variance contribution rate of the 2 principal components was 83.886％ ,and the variable importance in the projection value greater than 1 were kaempferol-3-O-rutinoside,rutoside and astragalin.The results of E-TOPSIS showed that the euclidean closeness of the optimal solution was between 0.180 4 and 0.739 4.Conclusion The method established is simple,accurate,economical and practical,which can fully reflect the quality difference of Shiliang tea and better control the quality of this variety.

Research on the current status of pharmacy scientific and technological core journals in China / 中国药师

Objective To analyze the characteristics and current situation of pharmaceutical journals sponsored by institutions in China,so as to improve the utilization,quality and dissemination effect of pharmaceutical journals,provide a basis for scientific evaluation and journal quality management,and provide a reference for readers to choose core journals,focus on reading and submitting.Methods The data of pharmaceutical journals sponsored by domestic institutions in China were collected in the"China Science and Technology Journals Citation Report(Core Edition)"compiled by the Institute of Scientific and Technical Information of China in 2023.This paper analyzes the characteristics and current situation of pharmaceutical journals sponsored by institutions in China,and investigates the number,citation frequency,impact factor,and regional distribution of pharmaceutical journals included in the core catalog of science and technology.Results A total of 48 core journals of pharmaceutical science and technology sponsored by domestic institutions were retrieved,and the publication cycle was mainly monthly(52.08% ).The Chinese Pharmaceutical Association is the institution with the largest number of core journals(15);In terms of quantity,15 core pharmaceutical journals in Beijing ranked first,ranking 2nd to 4th:Shanghai(6),Hubei(4),Jiangsu(4);The average total citation frequency in Chongqing was 3123 times,and the average total citation frequency was the highest.Conclusion The distribution of core pharmaceutical journals shows obvious advantages in economically developed regions such as Beijing and Shanghai.The Chinese Pharmaceutical Association,China Pharmaceutical University and the Chinese Academy of Medical Sciences and other institutions have sponsored many pharmaceutical academic journals,with a relatively complete journal system and rich experience in running journals.

Rapid determination of microbial contamination of Bupleurum chinense DC. decoction slices by ATP bioluminescence technology combined with statistical analysis methods / 药学学报

This study focuses on the microbial quality control of the Chinese herbal decoction pieces. In view of the shortcomings of traditional culture methods such as slow detection speed and inability to detect unculturable microorganisms, a new method based on ATP bioluminescence technology combined with statistical analysis methods was established to rapidly predict and quantitatively detect the total aerobic microbial count (TAMC) and total yeast and mold count (TYMC) contaminated Bupleurum chinense DC. decoction pieces. Based on the optimized ATP bioluminesence detection system, accurate detection of pure bacterial solution of Escherichia coli, Bacillus subtilis and Staphylococcus aureus can be achieved, with detection limits of 47.86, 89.13 and 1 862.09 CFU·mL-1, respectively. The detection time was 6.5 h, and the detection cost was as low as 2 yuan/time. The upper and lower warning limits of TAMC were determined by the misjudgment rates of 10% and 20%, respectively. And the warning limit of TYMC was determined by the misjudgment rate of 20%. The proposed crossing method could quickly predict the amount of microbial contamination in Bupleurum chinense DC. decoction pieces. The constructed partial least squares regression (PLSR) model could accurately quantify the quantity of microbial contamination in Bupleurum chinense DC. decoction pieces. The optimal PLSR prediction model for TAMC had a correction coefficient (R2) of 0.826, a root mean square error of correction set (RMSEE) of 0.468 and a root mean square error of cross-validation set (RMSECV) of 0.465. The R2, RMSEE and RMSECV in the prediction model of TYMC were 0.778, 0.543 and 0.541, respectively. The aim of this study is to establish a kind of rapid detection method and prediction models for the microbial limit of traditional Chinese medicine and Chinese herbal decoction pieces, and to provide a more convenient and sensitive detection technology for the microbial quality process control of traditional Chinese medicine products.

Data verification and sensitivity analysis of statistical analysis in bioequivalence studies / 药学实践与服务

Objective To sort out the key points, problems and countermeasures of data verification through data verification of statistical analysis in 18 bioequivalence studies, and provide reference for improving the statistical analysis reports of related research. Methods SAS and WinNonlin software was used to illustrate that whether the random number tables, main pharmacokinetic parameters and bioequivalence data could reproduce the corresponding results in the original statistical analysis reports. Results Among the 18 studies, sensitivity analysis was supplemented or re-performed for 5 studies due to sampling time deviation of individual subjects or adjustment of sensitivity data sets, resulting in differences in pharmacokinetic parameters from the original statistical analysis report, but same for the bioequivalence evaluation. Other verified data was consistent with the original statistical analysis reports. Conclusions The verification of statistical analysis data of bioequivalence studies is extremely important, and the problems found in this paper should be fully considered when writing such statistical analysis reports.