Main Infection Control Measures for Respiratory Infectious Diseases in Medical Institutions and Public Places in China / 中国医学科学院学报

Respiratory infectious diseases (RID) are the major public health problems threatening the people's lives and health.Infection control (IC) is one of the effective tools to contain the occurrence and spread of RID.We collected the articles and data on IC published since January 1,2018 and summarized the achievements,problems,and challenges of IC from administrative control,management control,environment and engineering control,and personal protection in the medical institutions and public places in China.The efforts for IC vary in different regions and medical institutions of different levels.There are still links to be improved for IC from administrative control,management control,environment and engineering control,and personal protection,especially in community-level medical institutions and public areas.It is urgent to strengthen the implementation of IC policies and conduct IC precisely according to local situations.We proposed the following suggestions.First,the existing IC products and tools should be applied to precisely implement the IC measures;second,modern high technology should be employed to develop efficient and convenient IC products and tools;finally,a digital or intelligent IC platform should be built for monitoring infections,so as to contain the occurrence and spread of RID.

Genotyping Characteristics of Human Fecal Escherichia coli and Their Association with Multidrug Resistance in Miyun District, Beijing / 生物医学与环境科学（英文）

OBJECTIVE@#To explore the genotyping characteristics of human fecal Escherichia coli( E. coli) and the relationships between antibiotic resistance genes (ARGs) and multidrug resistance (MDR) of E. coli in Miyun District, Beijing, an area with high incidence of infectious diarrheal cases but no related data.@*METHODS@#Over a period of 3 years, 94 E. coli strains were isolated from fecal samples collected from Miyun District Hospital, a surveillance hospital of the National Pathogen Identification Network. The antibiotic susceptibility of the isolates was determined by the broth microdilution method. ARGs, multilocus sequence typing (MLST), and polymorphism trees were analyzed using whole-genome sequencing data (WGS).@*RESULTS@#This study revealed that 68.09% of the isolates had MDR, prevalent and distributed in different clades, with a relatively high rate and low pathogenicity. There was no difference in MDR between the diarrheal (49/70) and healthy groups (15/24).@*CONCLUSION@#We developed a random forest (RF) prediction model of TEM.1 + baeR + mphA + mphB + QnrS1 + AAC.3-IId to identify MDR status, highlighting its potential for early resistance identification. The causes of MDR are likely mobile units transmitting the ARGs. In the future, we will continue to strengthen the monitoring of ARGs and MDR, and increase the number of strains to further verify the accuracy of the MDR markers.

Quantitative study on medicinal properties of traditional Chinese medicine based on BP neural network / 中草药

Objective: It is difficult to accurately grasp the essential characteristics of medicinal properties of traditional Chinese medicine due to the abstraction and vagueness. This paper proposes a Quantitative Model of Traditional Chinese Medicine's Properties based on BP Neural Network (QM-BP Model) to train and realize quantitative representations of Chinese herbal medicine (CHM). Methods: Data for analysis were obtained and organized by conceptual analysis. Sample pairs of the associations were obtained based on the relationships of CHM and their efficacy. Then a QM-BP model with three-tier structure in form of CHM-drug vector-efficacy was constructed, initialized and trained according to prior organized CHM data. Finally, rules of correlation of CHM and their efficacy was obtained by training dataset with drug vectors representing quantitative attributes of CHM. Results: Based on the training of QM-BP model, 474 TCM and 528 effects included in the textbook of TCM were trained and combined based on the training of QM-BP model. It was found that the BP drug vectors representing drug properties after training reflected the attribute characteristics of CHM better than the initial quantitative values. In addition, as BP drug vector and word vector have similar properties, the BP drug vectors for CHM with similar efficacy was relatively close in Euclidean distance while the CHM with different efficacies were relatively far in Euclidean distance. Conclusion: In this paper, a BP neural network was adopted to construct a medicine vector training model. Based on the correlation between the medicinal properties and efficacy of TCM, the quantified values of the medicinal properties were modified to represent medicinal properties more accurately. In future work, the QM-BP model can be applied to the analysis of herb pairs and prescriptions to analyze the rules of combination related to medicinal properties and the compatibility within prescriptions.

Study on CYP2E1 gene polymorphism and the relationship between methylation level of its promoter region and liver injury induced by anti-tuberculosis drugs in Mongolian tuberculosis patients in Inner Mongolia / 医学研究生学报

ObjectiveThere are few studies on whether the occurrence of anti-tuberculosis drug-induced liver injury (ADIH) is associated with the polymorphism of CYP2E gene and methylation level. This study aims to CYP2E1 gene polymorphism and the relationship between the methylation level of the promoter region and ADIH in Mongolian tuberculosis (TB) patients.Methods A total of 135 Mongolian TB patients who received standardized treatment at the Tuberculosis Research Institute of Tongliao City, Inner Mongolia from November 2015 to June 2018 were selected. According to the ADIH criteria, TB patients with liver injury were selected as the ADIH group (n=45), and TB patients without liver injury were matched as the control group based on a ratio of 1∶2 (n=90). DNA extraction and polymerase chain reaction (PCR) were performed to amplify the CYP2E1 gene to determine the CYP2E1 rs2031920 genotype, and to analyze the CYP2E1 gene polymorphism and relationship between ADIH and promoter methylation level.Results There were no significant differences in the distribution of CYP2E1 rs2031920 genotype, C1 and C2 gene frequencies between the ADIH group and the control group (P>0.05). The overall methylation level in the promoter region of CYP2E1 gene in ADIH group (0.711±0.085) was significantly lower than that of the control group (0.759±0.062). Results of Logistic regression showed that the overall methylation level in the promoter region of CYP2E1 gene was the influencing factor for the occurrence of ADIH (P<0.005). For each 0.1 unit increase of methylation level, the risk of ADIH occurrence reduced by 0.388 times, and the OR (95% CI) value was 0.388 (between 0.204 and 0.739).Conclusion The overall methylation level in the promoter region of CYP2E1 gene was reduced in Mongolian ADIH patients, but the polymorphism of CYP2E1 gene was not related to the occurrence of ADIH. These results suggested that CYP2E1 methylation could be applied to the prevention and treatment of ADIH in patients with tuberculosis.

Study on CYP2E1 gene polymorphism and the relationship between methylation level of its promoter region and liver injury induced by anti-tuberculosis drugs in Mongolian tuberculosis patients in Inner Mongolia / 医学研究生学报

ObjectiveThere are few studies on whether the occurrence of anti-tuberculosis drug-induced liver injury (ADIH) is associated with the polymorphism of CYP2E gene and methylation level. This study aims to CYP2E1 gene polymorphism and the relationship between the methylation level of the promoter region and ADIH in Mongolian tuberculosis (TB) patients.Methods A total of 135 Mongolian TB patients who received standardized treatment at the Tuberculosis Research Institute of Tongliao City, Inner Mongolia from November 2015 to June 2018 were selected. According to the ADIH criteria, TB patients with liver injury were selected as the ADIH group (n=45), and TB patients without liver injury were matched as the control group based on a ratio of 1∶2 (n=90). DNA extraction and polymerase chain reaction (PCR) were performed to amplify the CYP2E1 gene to determine the CYP2E1 rs2031920 genotype, and to analyze the CYP2E1 gene polymorphism and relationship between ADIH and promoter methylation level.Results There were no significant differences in the distribution of CYP2E1 rs2031920 genotype, C1 and C2 gene frequencies between the ADIH group and the control group (P>0.05). The overall methylation level in the promoter region of CYP2E1 gene in ADIH group (0.711±0.085) was significantly lower than that of the control group (0.759±0.062). Results of Logistic regression showed that the overall methylation level in the promoter region of CYP2E1 gene was the influencing factor for the occurrence of ADIH (P<0.005). For each 0.1 unit increase of methylation level, the risk of ADIH occurrence reduced by 0.388 times, and the OR (95% CI) value was 0.388 (between 0.204 and 0.739).Conclusion The overall methylation level in the promoter region of CYP2E1 gene was reduced in Mongolian ADIH patients, but the polymorphism of CYP2E1 gene was not related to the occurrence of ADIH. These results suggested that CYP2E1 methylation could be applied to the prevention and treatment of ADIH in patients with tuberculosis.

Anti-tuberculosis drug-induced liver injury correlated with the methylation in the promoter regions of CYP2E1 and GSTM1 / 医学研究生学报

Objective No study has been reported on the association between the abnormal methylation of drug metabolic enzymes and anti-tuberculosis drug-induced liver injury (ATLI). This article aimed to investigate the relationship of ATLI with the methylation of the CpG islands in the promoter regions of cytochrome P450 2E1 (CYP2E1) and glutathione s-transferase M1 (GSTM1) in Chinese Mongolian patients with tuberculosis (TB). Methods This retrospective study included 93 cases of TB diagnosed and treated in the TB prevention and treatment institutions of Tongliao, Inner Mongolia, between September 2016 and December 2017, which were divided into an ATLI (n = 31) and a non-ATLI group (n = 62), the former with and the latter without ATLI within 6 months after anti-TB medication. We compared the methylation levels of the CYP2E1 and GSTM1 genes between the two groups of patients and analyzed the risk factors of ATLI. Results In comparison with the non-ATLI controls, the patients of the ATLI group showed significantly lower methylation levels in the promoter regions of CYP2E1 (0.759 ± 0.066 vs 0.694 ± 0.091, P < 0.05) and GSTM1 (0.207 ± 0.093 vs 0.187 ± 0.092, P < 0.05). Multivariate logistic regression analysis revealed that the main risk factors of ATLI included alcohol consumption (OR = 5.329, 95% CI: 1.442-19.697, P < 0.05) and methylation in the CYP2E1 promoter region (OR = 0.312, 95% CI: 0.165-0.591, P < 0.05) in the TB patients. Conclusion ATLI is associated with the methylation level in the promoter region of the CYP2E1 gene in Chinese Mongolian patients with tuberculosis, indicating that the methylation of CYP2E1 could be used as a biomarker in the prevention and control of ATLI.

Traditional Chinese Medicine data management policy in big data environment / 中国中药杂志

As traditional data management model cannot effectively manage the massive data in traditional Chinese medicine(TCM) due to the uncertainty of data object attributes as well as the diversity and abstraction of data representation, a management strategy for TCM data based on big data technology is proposed. Based on true characteristics of TCM data, this strategy could solve the problems of the uncertainty of data object attributes in TCM information and the non-uniformity of the data representation by using modeless properties of stored objects in big data technology. Hybrid indexing mode was also used to solve the conflicts brought by different storage modes in indexing process, with powerful capabilities in query processing of massive data through efficient parallel MapReduce process. The theoretical analysis provided the management framework and its key technology, while its performance was tested on Hadoop by using several common traditional Chinese medicines and prescriptions from practical TCM data source. Result showed that this strategy can effectively solve the storage problem of TCM information, with good performance in query efficiency, completeness and robustness.

Status and Expectations in Study on Quantization of Prescription Properties / 中国中医药信息杂志

Due to abstract and intricate theories of TCM theories, its essential characteristics are difficult to master, so the mechanism can be better explored through study on quantification of prescription properties. At present, quantification research by many scholars mainly adopts isolated research model limited to one or several kinds of TCM properties, which is difficult to reveal treatment mechanism of prescriptions. The development of big data and cloud computing technology provides a new way for the deep analysis of massive and complex TCM information. Based on syndrome differentiation, it is trending in prescription quantification to employ a comprehensive analysis by using "four properties - five flavors - channel tropism - ascending and descending, floating and sinking - toxicity -efficacy" overall on macroscopic level to analyze and quantify the characteristics of TCM prescriptions and their relationships among each other. This article reviewed recent research progress in the quantification of prescription properties and provided references for the modernization and specification of quantification of prescription properties.

Hotspots in studies on medical information education based on data source of core journals / 中华医学图书情报杂志

The hotspots and frontiers in studies on medical information education were identified with key words cluster algorithm and burst words detection algorithm by making use of CiteSpaceⅢwith 540 papers on medical in-formation education published in core journals of medical information education from 2007 to 2016 as sample data, which showed that the 7 hotspots and frontiers in studies on medical information education from 2007 to 2016 in medical information education field of China and can thus provide support for keeping abreast of its development trend and working out its development strategies.

Immobilization and stabilization of papain on SiO2 particles containing amine groups / 生物工程学报

Numerous approaches and materials have been explored for preparation of immobilization enzymes because they have considerable advantages over enzyme in bulk solution. Among present enzyme carriers inorganic materials have lower cost and more stability than organic materials. But the present inorganic materials contain less active sites and have to undergo some complicated processes before binding enzyme. So it is necessary to explore a new kind of inorganic enzyme carrier. Papain, a well characterized thiol protease kinetically and structurally, is a suitable model to compare the efficiency of various immobilization procedures. SiO2 particles containing amine groups were synthesized by synchronous hydrolysis of tetraethylorthosilicate (TEOS) and N-(2-aminoethyl)-3-aminopropyltrimethoxysilane (AEAPS) in W/O Microemulsion of Triton X-100/cyclohexane/ammonium hydroxide system. The obtained particles have a diameter range from 0.3 microm to 0.5 microm, and their average size is 0.37 microm and can be controlled by adjusting water to surfactant molar ratio and water to TEOS and AEAPS molar ratio. Compared with traditional porous silica beads, these particles contain much more amine groups and their amine group content can be easily changed in the process of synthesis. Papain was immobilized on the particles which were treated by glutaraldehyde with covalent method. The optimum immobilization conditions of enzyme were as follows: enzyme load was 15 mg/g carrier, pH was 6.5. The pH and temperature optima were 6.5 and 70 degrees C for immobilized enzyme. All above indicate this kind of particle can be a good enzyme immobilization carrier.

Stem-loop Structured Probes Designed by Sequence Comparisons for Detection of Staphylococcus aureus / 微生物学通报

Based on Staphylococcus aureus 16S rRNA gene sequences,sequence comparisons have been applied to design a kind of stem-loop structured oligonucleotide probes whose loop sequence mismatched other bacterial strains 16S rRNA gene sequences in more than two positions with high specificity and sensitivity.According to the principle of molecular beacon technology and enzyme linked immunosorbent assay,a method has been evaluated using immobilized stem-loop structured oligonucleotides probe as the conformation switch which is applied to enzymatic detection of nucleic acid targets.As its specificity has been strengthened,the system is able to successfully eliminate false-positive result that is mismatch in an oligonucleotide.Employing a microtiter assay format,4ng of S.aureus 16S rRNA could be detected at least.This approach is more sensitive than other conventional method at least one order of magnitude.