Antimicrobial resistance is a rigorous health issue around the world. Because of the short turn-around-time and broad pathogen spectrum, culture-independent metagenomic next-generation sequencing (mNGS) is a powerful and highly efficient tool for clinical pathogen detection. The increasing question is whether mNGS is practical in the prediction of antimicrobial susceptibility. This review summarizes the current mNGS-based antimicrobial susceptibility testing technologies. The critical determinants of mNGS-based antibacterial resistance prediction have been comprehensively analyzed, including antimicrobial resistance databases, sequence alignment tools, detection tools for genomic antimicrobial resistance determinants, as well as resistance prediction models. The clinical challenges for mNGS-based antibacterial resistance prediction have also been reviewed and discussed.
Precision medicine is a medical paradigm founded on individual genetic information amalgamated with extensive clinical data to offer patients precise diagnoses and treatments. Genetic testing forms the cornerstone of accurate diagnosis, and skilled professionals in fields like clinical medicine, molecular biology, and bioinformatics play a crucial role in realizing the potential of precision medicine. This paper presents reference suggestions for the continuing education approach for relevant technical personnel. The main emphasis is on conducting routine face-to-face and hands-on training to enhance theoretical knowledge and professional skills. Secondly, there is a need to modify the training approach by reinforcing molecular biology, bioinformatics, and other courses, enhancing assessment methods, gradually implementing specialized training in precision medicine subspecialties, and ensuring effective clinical practice and management of precision medicine.
Objective To study the risk factors of lung cancer and provide scientific evidence for preventing and managing such disease. Methods?The database of MEDLINE, CNKI, and CBM were searched and literature domestically and internationally from January 1997 to January 2007 was collected. The RevMan 4.2 software was used for meta-analysis. Results A total of 40 studies involving 16 559 cases and 25 119 controls were included. The pooled OR values and population attributable risk percentage (PARP) for smoking, female passive smoking from husband, female passive smoking from colleague, chronic bronchitis, emphysema, pulmonary tuberculosis, family history of cancer, and family history of lung cancer were 5.75 (69.16%), 1.32 (14.52%), 1.21 (5.87%), 1.68 (7.45%), 2.70 (10.18%), 1.58 (1.91%), 1.24 (8.92%), and 1.59 (5.33%), respectively. Conclusion Risk factors related to the incidence of lung cancer are smoking, female passive smoking from husband and colleague, chronic bronchitis, emphysema, pulmonary tuberculosis, family history of cancer, family history of lung cancer and so on. Besides, the results of PARP indicate that smoking is the most important factor, followed by female passive smoking from husband, emphysema, family history of cancer sequentially, which suggest that environmental and genetic factors play important roles in the development of lung cancer.
【摘要】 目的 了解新护士的心理健康状况及应付方式。 方法 采用心理卫生自评量表（SCL-90）和应付方式量表对2008年1月-2009年12月新上岗的64名护士进行测查。 结果 新护士强迫症状、抑郁、焦虑、敌对、恐怖、偏执、精神病性因子分、总均分及阳性项目数与全国常模比较偏高，差异有统计学意义（Plt;0.05）；SCL-90阳性者与阴性者应付方式比较，阳性者自责、幻想、退避、合理化因子均分均高于阴性者，差异有统计学意义（Plt;0.01）；新护士应付方式各因子均分、退避、幻想、自责因子均高于吴超等人的研究（Plt;0.05）。 结论 新护士心理健康状况低于一般人群；较其他年龄段护士更多采用不成熟应付方式；成熟应付方式有益心理健康。护理管理者应重视新护士心理健康，引导新护士多采取成熟应付方式，提高心理健康水平。【Abstract】 Objective To evaluate the psychological states of new nurses and their coping styles. Methods Sixty-four nurses starting work between January 2008 and October 2009 in our hospital were investigated by Symptom Checklist 90 (SCL-90) and Coping Style Questionnaire. Results The scores of compulsion and mental disorder, average score, and the number of positive items were statistically higher than the national norm of China (Plt;0.001). The scores of athymia, anxiety, hostility, and phobia factors were higher than the national norm (Plt;0.01). The score of paranoid factor was also statistically higher than the national norm (Plt;0.05). Based on the results of SCL-90, we found that the scores of factors of self-accusation, fantasy, back-off (Plt;0.05) and the factor of rationalization (Plt;0.01) in the positive group were significantly higher than those of the negative group. Compared with the result of the research made by WU Chao and his colleges, the average scores of such factors as back-off (Plt;0.001), fantasy (Plt;0.01) and self-accusation (Plt;0.05) were statistically higher in the study group than those in the control group. Conclusion The psychological states of new nurses are worse than the general population. Compared with older nurses, new nurses are more inclined to use immature coping styles. Mature coping styles are favorable to their psychological states. The nursing regulators should pay more attention to the psychological states of new nurses and guide them to use mature coping styles to improve their psychological states.
ObjectiveTo understand variations in clinical epidemiology of lung cancer and to help with early accurate diagnosis and treatment of lung cancer.MethodsThis research was based on the Lung Cancer Database of West China Hospital of Sichuan University. Clinicopathological data of inpatients with primary lung cancer from 2011 to 2018 was collected for analysis. Information regarding sex, age, smoking history, surgical resection modalities, TNM stage of tumor, and pathological subtypes was included.ResultsA total of 23 228 inpatients with primary lung cancer were included in this research. There were 1 932, 2 029, 2 162, 2 773, 2 975, 3 318, 3 993, and 4 046 patients in every single year from 2011 to 2018, respectively. The male-to-female ratio of patients had changed significantly from 2.00∶1 in 2011 to 1.34∶1 in 2018 (P<0.001). Statistically significant difference was found in age distribution of patients in different years, while elderly always accounted for the majority of all patients. More nonsmokers were among the group of lung cancer patients, the proportion of whom rose from 41.61% in 2011 to 52.47% in 2018 (P<0.001). The proportion of adenocarcinoma in all subtypes rose from 54.04% in 2011 to 71.73% in 2018, while the proportion of squamous carcinoma dropped from 29.04% to 17.67% simultaneously. From 2011 to 2018, the proportion of stage Ⅰ lung cancer rose from 15.68% to 40.79%. Patients with stage ⅠA1 accounted for 11.82% in 2018. In 2018, 60.78% of stage ⅠA patients had gone through surgical resection modalities, forming a stark contrast with the fact that only 26.48% of stage ⅠA patients adopted surgeries in 2011.ConclusionsFrom 2011 to 2018, the total number of lung cancer patients increased year by year. The proportions of female patients and nonsmokers rose significantly. Adenocarcinoma accounted for the highest proportion of all subtypes, followed by squamous cell carcinoma. There were more patients with early lung cancer and less with advanced lung cancer diagnosed, implying a gradual accumulation of weight on the early stages according to the TNM classification of lung cancer.
Objective To explore the role of cyclin B1 (CCNB1), cyclin B2 (CCNB2) and cyclin dependent kinase 1 (CDK1) in lung adenocarcinoma (LUAD) using bioinformatic data. Methods First, RNA expression data were downloaded from two datasets in Gene Expression Omnibus (GEO), and DESeq2 software was used to identify deferentially expressed genes (DEGs). Subsequent analyses were conducted based on the results of these DEGs: protein-protein interaction (PPI) network was constructed with STRING database; the modules in PPI network were analyzed by Molecular Complex Detection software, and the most significant modules were selected, the genes included in these modules were the hub genes; high-throughput RNA sequencing data from other databases were used to verify the expression of these hub genes to confirm whether they were DEGs; survival curve analyses of the confirmed DEGs were conducted to select genes that had significant influence on the survival of LUAD; the expression of these hub genes in different stages of LUAD were also analyzed. Then, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was performed for these selected hub genes using KOBAS database. MuTarget tool was used to analyze the correlations between the expression of these selected hub genes and gene mutation status in LUAD. The potential value of these hub genes in the treatment of LUAD was explored based on the drug information in GDSC database. Finally, immunohistochemical data from Human Protein Atlas (HPA) database were used to verify the expression of these hub genes in LUAD again. Results According to the expression data in GEO, 594 up-regulated genes and 651 down-regulated genes were identified (P<0.05), among which 30 hub genes were selected for subsequent analyses. The RNA high-throughput sequencing data of other databases verified that 18 genes were DEGs, among which 8 hub genes had significant impact on disease-free survival in LUAD (P<0.05). Moreover, the 8 genes were differentially expressed in different stages of LUAD, which were higher in the middle and late stage of LUAD. Among the 8 genes. CCNB1, CCNB2 and CDK1 were significantly enriched in the cell cycle pathway. The expression of CCNB1, CCNB2 and CDK1 in LUAD was closely related to the TP53 mutation status. In addition, CDK1 was associated with four drugs, revealing the potential value of CDK1 in the treatment of LUAD. Finally, immunohistochemical data from HPA database verified that CCNB1, CCNB2 and CDK1 were highly expressed in LUAD in the protein level. Conclusion Overexpression of CCNB1, CCNB2 and CDK1 are associated with poor prognosis of LUAD, indicating that the three genes may be prognostic biomarkers of LUAD and CDK1 is a potential therapeutic target for LUAD.