Objective To analyze pathogen distribution and drug resistance in a tertiary hospital in Shenyang in 2022 and provide evi-dence-based guidance for this and other hospitals to formulate antibacterial drug application strategies.Methods In 2022,bacterial iso-lates collected from patients in a tertiary hospital in Shenyang were identified and subjected to drug sensitivity tests based on the require-ments of the national clinical laboratory operation procedures.The data were analyzed using Whonet 5.6 software.Results In total,4968 pathogenic strains were isolated from this hospital in 2022.The top five isolates were Escherichia coli,Klebsiella pneumoniae,Acineto-bacter baumannii,Enterococcus faecalis,and Pseudomonas aeruginosa.The resistance rates of Escherichia coliand Klebsiella pneumo-niaeto carbapenems were 1.9%and 17.7%,respectively.The resistance rates of Enterobacter cloacaeto imipenem and meropenem were 26.7%and 25.0%,respectively.The isolation rate of methicillin-resistant Staphylococcus aureus(MRSA)was 15.6%.The resistance rates of vancomycin-resistant Enterococcusand linezolid-resistant Enterococcus faecaliswere 7.1%and 11.6%,respectively.The resist-ance rates of tropical yeasts to fluconazole was>20%.Conclusion The distribution and drug resistance of pathogens in this hospital differed from those in other regions of China.The drug resistance of strains in this hospital should be closely monitored to understand the distribution and drug resistance of pathogens in a timely manner and to provide guidance for the diagnosis and treatment of infections.

ObjectiveTo characterize the efficacy components of Guizhi Jia Gegentang（GGT） in intervening influenza virus pneumonia by ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS）. MethodBALB/c mice were randomly divided into normal group and GGT group（36 g·kg^-1·d^-1） with six mice in each group. GGT group was continuously administered GGT extract for 5 d， while the normal group was administered an equal amount of ultrapure water. Serum and lung tissue were collected after administration， and UPLC-Q-Exactive Orbitrap MS was used to characterize the prototypical and metabolic components of GGT in serum and lung tissue of mice. The components existed simultaneously in the serum and lung tissue of mice from the GGT group were defined as its functional components， and the targets of efficacy components were searched by SwissTargetPrediction database， and GeneCards database was used to query the target of influenza virus pneumonia， and then the intersection was taken to obtain potential targets of GGT for intervening in the disease. Protein-protein interaction（PPI） network analysis of potential targets was performed by STRING database， and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis on potential targets was performed by Metascape. ResultA total of 29 prototypical components and 28 metabolic components of GGT were detected in the drug-containing serum of mice， of which 11 prototypical components and 4 metabolic components were detected in the lung tissue of mice. The main metabolic pathways included reduction， hydroxylation， methylation， glucuronidation and sulfation. The results of PPI network and KEGG analysis showed that these functional components may act through their effects on targets such as albumin（ALB）， epidermal growth factor receptor（EGFR）， steroid receptor coactivator（SRC）， Toll-like receptor 4（TLR4）， nuclear transcription factor（NF）-κB and adhesion junction. ConclusionThe 11 prototypical components and 4 metabolites present simultaneously in the drug-containing serum and lung tissue of mice may be the potential therapeutic components of GGT in interfering with influenza viral pneumonia， and act through interfering with inflammatory metabolic pathways. This study can provide a reference for the mechanism study of GGT in the treatment of influenza viral pneumonia.

OBJECTIVE To study the toxic mechanism of Mahuang xixin fuzi decoction （MXF） on normal mice. METHODS Totally 48 SPF grade BABL/C mice were randomly divided into blank group， MXF low-dose， medium-dose and high-dose groups， with 12 mice in each group. MXF low-dose， medium-dose and high-dose groups were given drug intragastrically at the dose of 11.262， 33.786， 45.050 g/kg， respectively. Blank group was administered with equal volume of normal saline， once a day， for consecutive 7 d. The body weight， anal temperature and survival rate were recorded， organ index and serum biochemical factors were detected. After the last administration， fecal samples of mice were collected and detected by UHPLC-QE/MS. RESULTS Compared with blank group， the body weight was decreased significantly from the 3rd to the 5th day after administration in MXF medium-dose group， and from the 2nd to the 7th day after administration in MXF high-dose group significantly （P＜0.05）. There was no significant difference in anal temperature among the treatment groups； the average survival rates of MXF medium-dose and high-dose groups were 58.33% and 50.00%， respectively. Compared with blank group， there were significant difference in the indexes of spleen， lung， thymus， adrenal gland and creatine kinase in MXF low-dose， medium-dose and high-dose groups， the testis index in MXF low-dose and high-dose groups， the creatine kinase isoenzyme/creatine kinase ratio in MXF low-dose group， the α-hydroxybutyrate dehydrogenase， lactate dehydrogenase and alkaline phosphatase in MXF medium-dose group， the urine and cystatin C in MXF medium-dose and high-dose groups （P＜0.05）. The fecal metabonomic analysis showed that 19 biomarkers such as phenylpyruvate， L-tyrosine， phosphatidylcholine， glycerol 3-phosphate in MXF low-dose， medium-dose and high-dose groups were significantly different from those in the blank group. CONCLUSIONS When MXF reaches a certain dose， it will have adverse effects on the body weight， multiple organs and serum biochemical indicators of mice， thus showing a certain toxic effect. Its mechanism may be related to disrupting the intestinal flora metabolism， causing inflammatory reaction and immune disorders.

Objective To study the mechanism of Chaihu Guizhi Decoction(CGD)in the treatment of influenza and staphylococcus aureus co-infection.Methods The co-infection model of influenza and staphylococcus aureus was established and CGD was used to intervene.The chemical components of CGD were qualitatively analyzed by UPLC-Q-Exactive/MS technology.The potential action targets of chemical components in CGD and the related targets of influenza Staphylococcus aureus co-infection were mined by network pharmacology method.The"component target disease"network was constructed.Core targets were selected according to degree ranking.Core action pathways were enriched by KEGG analysis and GO annotation analysis.The core target was verified by RT-qPCR,and the interaction between the core component and the key target was verified by molecular docking.Results CGD could significantly improve the decrease of body weight and thymus index(P<0.05)caused by co-infection.The lung index(P<0.05),relative amount of MmRNA expression(P<0.05)and bacterial load(P<0.05)were decreased,and the survival rate was improved.51 chemical constituents were identified from CGD.Through network pharmacological analysis,107 related targets corresponding to CGD treatment of bacterial pneumonia secondary to influenza were excavated.TNF,AKT1,ALB,VEGFA,MAPK3,PTGS2,STAT3,EGFR and other targets with strong correlation,mainly involved Fc epsilon RI signal pathway,GnRH signal pathway,NF-κB signal path,etc.Molecular docking study showed that the main active component of CGD,including oroxyloside,baicalein and wogonin have strong affinity with TNF,PTGS2 and EGFR targets.Compared with co-infection model group,in CGD group TNF-α、EGFR and PTGS2 increased significantly(P<0.05).Conclusion The main active ingredient of CGD is oroxyloside,baicalein and wogonin.TNF-α,PTGS2,EGFR and other targets to played a role in the treatment of influenza staphylococcus aureus co-infection.

Objective:To explore the effect of traditional teaching and standardized patient (SP) teaching in medical students' inquiry teaching through the phased examination results of practicing physicians.Methods:A total of 107 students from Class 1 and Class 2 of Batch 2013 majoring in clinical medicine of Qinghai University were selected as the control group, and 100 students from Class 1 and Class 2 of Batch 2014 were selected as the experimental group. In the inquiry teaching, the control group adopted the traditional teaching method, and the experimental group adopted the SP teaching method. The effect of the two groups of teaching methods was compared by collecting the scores of the medical history of the medical practitioners in the phased examination. SPSS 18.0 was used for t-test. Results:The scores of current medical history (81.43±8.19), case collection (8.19±0.70), inquiry content (47.63±4.55), examiner's total score (73.75±5.21), and total score (91.93±5.67) in the experimental group were higher than those in the control group [(71.65±8.29) (7.85±0.68) (43.68±4.76) (69.68±5.40) and (88.03±6.01)] and the difference was statistically significant ( P<0.001). The scores of communication ability (8.94±0.62) question expression (4.54±0.44) and communication skills (4.52±0.47) in the comprehensive performance of the control group were higher than those in the experimental group [(8.77±0.60) (4.33±0.54) and (4.38±0.46), respectively], and the difference was statistically significant ( P<0.05). Conclusion:The overall teaching effect of the SP teaching is better than that of the traditional teaching, but it has its own advantages and disadvantages in specific knowledge points. It is worth further discussion to combine the two to complement the advantages and complement each other to assist medical education.

Lymphedema is a common complication associated with breast cancer treatment, which has a serious impact on patients' limb function and quality of life. A clear and standardized diagnosis of breast cancer-related lymphedema is important for early identification of lymphedema and timely clinical diagnosis and treatment. Standardized, effective and timely management can reduce the incidence of lymphedema. This article reviews the current common diagnostic tools and methods and management methods, and evaluates their advantages and disadvantages in terms of both diagnosis and early management.

A new variant of concern for SARS-CoV-2,Omicron(B.1.1.529),was designated by the World Health Organization on November 26,2021.This study analyzed the viral genome sequenc-ing data of 108 samples collected from patients infected with Omicron.First,we found that the enrichment efficiency of viral nucleic acids was reduced due to mutations in the region where the primers anneal to.Second,the Omicron variant possesses an excessive number of mutations compared to other variants circulating at the same time(median:62 vs.45),especially in the Spike gene.Mutations in the Spike gene confer alterations in 32 amino acid residues,more than those observed in other SARS-CoV-2 variants.Moreover,a large number of nonsynonymous mutations occur in the codons for the amino acid residues located on the surface of the Spike protein,which could potentially affect the replication,infectivity,and antigenicity of SARS-CoV-2.Third,there are 53 mutations between the Omicron variant and its closest sequences available in public databases.Many of these mutations were rarely observed in public databases and had a low muta-tion rate.In addition,the linkage disequilibrium between these mutations was low,with a limited number of mutations concurrently observed in the same genome,suggesting that the Omicron vari-ant would be in a different evolutionary branch from the currently prevalent variants.To improve our ability to detect and track the source of new variants rapidly,it is imperative to further strengthen genomic surveillance and data sharing globally in a timely manner.

Complex structural variants(CSVs)are genomic alterations that have more than two breakpoints and are considered as the simultaneous occurrence of simple structural variants.How-ever,detecting the compounded mutational signals of CSVs is challenging through a commonly used model-match strategy.As a result,there has been limited progress for CSV discovery com-pared with simple structural variants.Here,we systematically analyzed the multi-breakpoint con-nection feature of CSVs,and proposed Mako,utilizing a bottom-up guided model-free strategy,to detect CSVs from paired-end short-read sequencing.Specifically,we implemented a graph-based pattern growth approach,where the graph depicts potential breakpoint connections,and pattern growth enables CSV detection without pre-defined models.Comprehensive evaluations on both simulated and real datasets revealed that Mako outperformed other algorithms.Notably,validation rates of CSVs on real data based on experimental and computational validations as well as manual inspections are around 70％,where the medians of experimental and computational breakpoint shift are 13 bp and 26 bp,respectively.Moreover,the Mako CSV subgraph effectively characterized the breakpoint connections of a CSV event and uncovered a total of 15 CSV types,including two novel types of adjacent segment swap and tandem dispersed duplication.Further analysis of these CSVs also revealed the impact of sequence homology on the formation of CSVs.Mako is publicly available at https://github.com/xjtu-omics/Mako.

We aimed to develop a whole-genome sequencing(WGS)-based copy number variant(CNV)calling algorithm with the potential of replacing chromosomal microarray assay(CMA)for clinical diagnosis.JAX-CNV is thus developed for CNV detection from WGS data.The perfor-mance of this CNV calling algorithm was evaluated in a blinded manner on 31 samples and com-pared to the 112 CNVs reported by clinically validated CMAs for these 31 samples.The result showed that JAX-CNV recalled 100％of these CNVs.Besides,JAX-CNV identified an average of 30 CNVs per individual,representing an approximately seven-fold increase compared to calls of clinically validated CMAs.Experimental validation of 24 randomly selected CNVs showed one false positive,i.e.,a false discovery rate(FDR)of 4.17％.A robustness test on lower-coverage data revealed a 100％sensitivity for CNVs larger than 300 kb(the current threshold for College of American Pathologists)down to 10×coverage.For CNVs larger than 50 kb,sensi-tivities were 100％for coverages deeper than 20×,97％for 15×,and 95％for 10×.We developed a WGS-based CNV pipeline,including this newly developed CNV caller JAX-CNV,and found it capable of detecting CMA-reported CNVs at a sensitivity of 100％with about a FDR of 4％.We propose that JAX-CNV could be further examined in a multi-institutional study to justify the transition of first-tier genetic testing from CMAs to WGS.JAX-CNV is available at https://github.com/The J acksonLaboratory/JAX-CNV.

Objective:To explore the application and nursing of chest radiograph combined with body surface measurement in measuring the length of PICC intubation in tumor patients.Methods:Totally 60 cases of malignant tumor patients in our hospital from March 2019 to January 2020 were selected and randomly divided into two groups by the method of random number table. 30 cases in the control group were given PICC catheterization by conventional body surface measurement; 30 cases in the observation group were given PICC catheterization combined with chest imaging data. After the intervention, the precise position of PICC catheter, indwelling time, complications, nursing satisfaction rate and quality of life were compared between the two groups.Results:After the intervention, the accurate placement rate, adjustment ratio and indwelling time of the observation group were 100.00% (30/30), 0, (146.35±21.74) d, which were significantly better than 83.33% (25/30), 16.67% (5/30) and (118.44±17.36) d of the control group, the difference was statistically significant ( tvalue was 5.495, χ 2values were 4.286, 5.455, all P<0.05); after intervention the complication rate, nursing satisfaction rate, and quality of life score in the observation group were 3.33% (1/30), 99.67% (29/30), (91.35±8.58) points, which were significantly better than the control group's 26.67% (8/30), 80.00% (24/30), (83.57±7.36) points, the difference was statistically significant ( χ 2values were 6.405, 4.043, tvalue was 3.775, P<0.05 or 0.01). Conclusion:Chest imaging data combined with body surface measurement methods combined with comprehensive care can significantly improve the accuracy of PICC catheter placement in cancer patients, reduce catheter adjustment and the deviation of actual length from the ideal length, extend the indwelling time, reduce complications, and improve patients Care satisfaction rate and quality of life.