Performance evaluation of nucleic acid testing system for blood screening in high-altitude areas / 中国输血杂志

【Objective】 To validate the performance of a nucleic acid testing(NAT) system for blood screening in the high-altitude Nagqu region of Tibet, in order to assess the capability of NAT in high-altitude areas and further enhance blood safety. 【Methods】 Various methods were employed to evaluate the analytical sensitivity, reproducibility, ability to prevent cross-contamination, and comparison between different NAT systems. 【Results】 The NAT system in the Nagqu region of Tibet achieved a 100% detection rate for high-concentration HBV DNA and HIV-1 RNA samples, and over 90% for medium-concentration samples. PROBIT analysis revealed the lower limits of detection (LOD) for HBV DNA and HIV-1 RNA to be 8.29 IU/mL (95% CI, 5.88~20.55 IU/mL) and 40.52 IU/mL (95% CI, 30.26~85.92 IU/mL), respectively. For HCV RNA genotype 2a, the LOD was 97.14 IU/mL (95% CI, 71.00~182.67 IU/mL), all of which were lower than the declared minimum detectable concentrations in the instructions. Reproducibility analysis demonstrated a 100% level of consistency within the system. Cross-contamination performance verification showed a strong ability to resist cross-contamination. Comparative analysis of repeated testing of low-concentration HBV DNA samples and multi-system testing in plain areas revealed consistency rates of 77.78%(14/18) and 77.27%(17/22), respectively, indicating certain differences between the NAT system in Nagqu region and other systems. 【Conclusion】 The NAT system exhibited excellent performance in blood screening at high altitudes. The results of performance validation in high-altitude blood screening NAT systems were largely consistent with those in plain areas, providing a reliable basis for enhancing blood safety in high-altitude regions.

Analysis and prospects of common problems in clinical data mining of traditional Chinese medicine prescriptions / 中国中药杂志

Mining data from traditional Chinese medicine(TCM) prescriptions is one of the important methods for inheriting the experience of famous doctors and developing new drugs. However, current research work has problems such as to be optimized research plans and non-standard statistics. The main problems and corresponding solutions summarized by the research mainly include four aspects.(1)The research plan design needs to consider the efficacy and quality of individual cases.(2)The significance of the difference in confidence order of association rules needs to be further considered, and the lift should not be ignored.(3)The clustering analysis steps are complex. The selection of clustering variables should comprehensively consider factors such as the frequency of TCM, network topology parameters, and practical application significance. The selection of distance calculation and clustering methods should be improved based on the characteristics of TCM clinical data. Jaccard distance and its improvement plan should be given attention in the future. A single, unexplained clustering result should not be presented, but the final clustering plan should be selected based on a comprehensive consideration of TCM clinical characteristics and objective evaluation indicators for clustering.(4)When calculating correlation coefficients, algorithms that are only suitable for continuous variables should not be applied to binary variables. This article explained the connotations of the above problems based on the characteristics of TCM clinical research and statistical principles and proposed corresponding suggestions to provide important references for future data mining research work.

Research on inheritance of Professor WANG Jie's Experience in Treatment of Frequent Ventricular Premature Complexes Based on Inheritance Support System of Traditional Chinese Medicine / 中国实验方剂学杂志

Objective:With the aid of the Inheritance Support System of Traditional Chinese Medicine V2.5 （TCMISS V2.5），to study the experience and prescription rules of professor WANG Jie in the treatment of frequent ventricular premature complexes，and inherit his clinical experience in diagnosis and treatment. Method:Professor WANG Jie's medical records and prescriptions for frequent ventricular premature complexes from 2016 to 2020 were collected and sorted out. Improved mutual information method，association rules，complex system entropy clustering，and unsupervised entropy hierarchical clustering were used to analyze the nature and flavor，channel tropism，concerted application rules，pair and combination of herbs for statistics， association rules analysis and discovery of new prescriptions. Result:A total of 122 prescriptions of professor WANG Jie on the treatment of frequent ventricular premature complexes were collected. 110 herbs，mostly with pungent and sweet flavors，were mainly on spleen channel and also on heart，kidney，liver，lung，and stomach channels. Cinnamomi Ramulus，Paeoniae Alba Radix<italic>，</italic>Os Draconis<italic>，</italic>Ostreae Concha<italic>， </italic>Glycyrrhizae Radix<italic>，</italic>and Jujubae Fructus<italic> </italic>had the highest frequency in use. The high-frequency herbal pair was Cinnamomi Ramulus-Paeoniae Alba Radix（116 times， accounting for 95.08%），the commonly used corner drugs were Cinnamomi Ramulus<italic>-</italic>Os Draconis<italic>-</italic>Ostreae Concha<italic> </italic>（108 times，88.52%），Cinnamomi Ramulus<italic>-</italic>Paeoniae Alba Radix<italic>-</italic>Ostreae Concha （106 times， 86.89%），Cinnamomi Ramulus<italic>-</italic>Paeoniae Alba Radix<italic>-</italic>Os Draconis （106 times，86.89%）. Commonly used herbal pair was<italic> </italic>Aucklandiae Radix-Amomi Villosi Fructus. The core prescription herbs included Cinnamomi Ramulus<italic>-</italic>Paeoniae Alba Radix<italic>-</italic>Os Draconis<italic>-</italic>Ostreae Concha<italic>-</italic>Glycyrrhizae Radix<italic>-</italic>Jujubae Fructus<italic>-</italic>Zingiberis Recens Rhizoma<italic>-</italic>Achyranthis Bidentatae Radix<italic>-</italic>Codonopsis Radix<italic>-</italic>Astragali Seu Hedysari Radix<italic>-</italic>Cistanches Herba-Poria<italic>-</italic>Ziziphi Spinosae Semen. Conclusion:Professor WANG Jie's prescription for the treatment of frequent ventricular premature complexes is Guizhi Jia Longgu Mulitang，and the main herbs are Cinnamomi Ramulus，Paeoniae Alba Radix，Os Draconis，Ostreae Concha，Glycyrrhizae Radix，and Jujubae Fructus. The final prescription could be adjusted according to the diseases and symptoms of patients.

A strategy for rapid discovery of traceable chemical markers in herbal products using MZmine 2 data processing toolbox: A case of Jing Liqueur / 中草药·英文版

Objective: The quality evaluation of herbal products remains a big challenge. Traceable markers are the core concept of the authentication of herbal products. However, the discovery of traceable markers is labor-intensive and time-consuming. The aim of this study is to develop a convenient approach to rapidly screen the traceable markers for herbal product authentication. Methods: Commercial Jing Liqueur and its 22 species of herbal ingredients were analyzed using HPLC-QTOF-MS and GC–MS to characterize nonvolatile and volatile chemicals. The acquired data were imported into MZmine 2 software for mass detection, chromatogram building, deconvolution and alignment. The aligned data were exported into a csv file and then traceable markers were selected using the built-in filter function in Excel. Finally, the traceable markers were identified by searching against online databases or publications, some of which were confirmed by reference standards. Results: A total of 288 chemical features transferred from herbal materials to Jing Liqueur product were rapidly screened out. Among them, 52 markers detected by HPLC-QTOF-MS were annotated, while nine volatile markers detected by GC–MS were annotated. Moreover, 30 of these markers were confirmed by comparing with reference standards. A chemical fingerprint consisting of traceable markers was finally generated to ensure the authentication and quality consistency of Jing Liqueur. Conclusion: A strategy for rapid discovery of traceable markers in herbal products using MZmine 2 software was developed.