Objective To analyze the antimicrobial susceptibility,molecular types,serotypes,virulence factors and resistance mechanisms of Streptococcus agalactiae(S.agalactiae)isolated from pregnant women with ad-vanced maternal age in Tangshan City,and provide basic data for the treatment,prevention and control of S.aga-lactiae infection.Methods 42 strains of S.agalactiae isolated from pregnant women with advanced maternal age in North China University of Science and Technology Affiliated Hospital as well as Tangshan Maternal and Child Health Hospital were collected.Detection of antimicrobial susceptibility and whole genome sequencing of 13 antimi-crobial agents were performed.Results The percentage of tetracycline,erythromycin,levofloxacin,and chloram-phenicol concurrently resistant strains was 7.1％,35.7％of the strains presented multidrug resistance to erythro-mycin,clindamycin,and levofloxacin.The carriage rates of resistance genes ermB and tetM were 66.7％and 47.6％,respectively.29 strains(69.0％)exhibited mutations in both gyrA and parC fluoroquinolone resistance determi-nants.42 strains of S.agalactiae belonged to 4 serotypes,namely ⅠB(35.7％),Ⅲ(33.3％),Ⅴ(26.2％),andⅠA(4.8％);and 11 sequence types(STs),with the highest proportion being ST10(35.7％)and ST19(31.0％);as well as 6 clonal complexes(CCs),among which CC19(42.9％)and CC12(35.7％)had the highest proportion.All S.agalactiae carried virulence factor-encoding genes of cfb,cylE,and pavA.Conclusion The molecular types and serotypes of S.agalactiae carried by pregnant women with advanced maternal age in Tangshan City pre-sent polymorphism,with obvious multidrug resistance,and carry multiple types of drug resistance genes and viru-lence genes.

AIM To investigate the variation rules of main secondary metabolites in Hedysari Radix before and after rubbing strip.METHODS UPLC-MS/MS was adopted in the content determination of formononetin,ononin,calycosin,calycosin-7-glucoside,medicarpin,genistein,luteolin,liquiritigenin,isoliquiritigenin,vanillic acid,ferulic acid,γ-aminobutyric acid,adenosine and betaine,after which cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were used for chemical pattern recognition to explore differential components.RESULTS After rubbing strip,formononetin,calycosin,liquiritigenin and γ-aminobutynic acid demonstrated increased contents,along with decreased contents of ononin,calycosin-7-glucoside and vanillic acid.The samples with and without rubbing strip were clustered into two types,calycosin-7-glucoside,formononetin,γ-aminobutynic acid,vanillic acid,calycosin-7-glucoside and formononetin were differential components.CONCLUSION This experiment clarifies the differences of chemical constituents in Hedysari Radix before and after rubbing strip,which can provide a reference for the research on rubbing strip mechanism of other medicinal materials.

Tuberous sclerosis complex(TSC)is a rare genetic disease that can lead to benign dysplasia in multiple organs such as the skin, brain, eyes, oral cavity, heart, lungs, kidneys, liver, and bones. Its main symptoms include epilepsy, intellectual disabilities, skin depigmentation, and facial angiofibromas, whilst incidence is approximately 1 in 10 000 to 1 in 6000 newborns. This case presents a middle-aged woman who initially manifested with epilepsy and nodular depigmentation. Later, she developed a lower abdominal mass, elevated creatinine, and severe anemia. Based on clinical features and whole exome sequencing, the primary diagnosis was confirmed as TSC. Laboratory and imaging examinations revealed that the lower abdominal mass originated from the uterus. CT-guided biopsy pathology and surgical pathology suggested a combination of leiomyoma and abscess. With the involvement of multiple organs and various complications beyond the main diagnosis, the diagnostic and therapeutic process for this patient highlights the importance of rigorous clinical thinking and multidisciplinary collaboration in the diagnosis and treatment of rare and challenging diseases.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Objective: To investigate the genetic and genomic profiling of juvenile myelomonocytic leukemia (JMML) and factors affecting its survival rate. Methods: Clinical characteristics, cytogenetics, molecular biology results and survival status of children with 27 JMML cases admitted to the Hematology Department of Children's Hospital, Capital Institute of Pediatrics from December 2012 to December 2021 were analyzed retrospectively, and the outcomes of the children were followed up. Kaplan-Meier method was used for survival analysis. Univariate analysis was used for analyzing factors affecting the overall survival (OS) rates of patients who received hematopoietic stem cell transplantation (HSCT). Log-Rank test was used for comparison of survival curves. Results: Among 27 JMML cases, there were 11 males and 16 females. The age of disease onset was 28 (11,52) months. There are 20 cases of normal karyotype, 4 cases of monosomy 7, 1 case of trisomy 8,1 case of 11q23 rearrangement and 1 case of complex karyotype. A total of 39 somatic mutations were detected.Those involved in RAS signal pathway were the highest (64%(25/39)), among which PTPN11 mutation was the most frequent (44% (11/25)). A total of 17 cases (63%) received HSCT, 8 cases (30%) did not receive HSCT, and 2 cases (7%) lost follow-up. For children receiving transplantation, the follow-up time after transplantation was 47 (11,57) months. The 1-year OS rate of high-risk transplantation group (17 cases) and high-risk non transplantation group (6 cases) was (88±8)% and (50±20)% respectively, with a statistically significant difference (χ²=5.01, P=0.025). The 5-year OS rate of the high-risk transplantation group was (75±11)%. The survival time of those who relapsed or progressed to acute myeloid leukemia after transplantation was significantly shorter than that of those who did not relapse (χ²=6.80, P=0.009). The OS rate of patients with or without PTPN11 mutation was (81±12) % and (67±19)% respectively (χ²=0.85, P=0.356). Conclusions: The main pathogenesis involved in JMML is gene mutation related to RAS signaling pathway, and the most common driver gene of mutation is PTPN11. Allogeneic HSCT can significantly improve the survival rate of high-risk JMML patients. The recurrence or progression after transplantation was related to poor prognosis.
Male ; Female ; Child ; Humans ; Child, Preschool ; Leukemia, Myelomonocytic, Juvenile/therapy* ; Retrospective Studies ; Survival Analysis ; Mutation ; Hematopoietic Stem Cell Transplantation

OBJECTIVE: AP2/ERF (APETALA2/ethylene-responsive factor) superfamily is one of the largest gene families in plants and has been reported to participate in various biological processes, such as the regulation of biosynthesis of active lignan. However, few studies have investigated the genome-wide role of the AP2/ERF superfamily in Isatis indigotica. This study establishes a complete picture of the AP2/ERF superfamily in I. indigotica and contributes valuable information for further functional characterization of IiAP2/ERF genes and supports further metabolic engineering. METHODS: To identify the IiAP2/ERF superfamily genes, the AP2/ERF sequences from Arabidopsis thaliana and Brassica rapa were used as query sequences in the basic local alignment search tool. Bioinformatic analyses were conducted to investigate the protein structure, motif composition, chromosome location, phylogenetic relationship, and interaction network of the IiAP2/ERF superfamily genes. The accuracy of omics data was verified by quantitative polymerase chain reaction and heatmap analyses. RESULTS: One hundred and twenty-six putative IiAP2/ERF genes in total were identified from the I. indigotica genome database in this study. By sequence alignment and phylogenetic analysis, the IiAP2/ERF genes were classified into 5 groups including AP2, ERF, DREB (dehydration-responsive element-binding factor), Soloist and RAV (related to abscisic acid insensitive 3/viviparous 1) subfamilies. Among which, 122 members were unevenly distributed across seven chromosomes. Sequence alignment showed that I. indigotica and A. thaliana had 30 pairs of orthologous genes, and we constructed their interaction network. The comprehensive analysis of gene expression pattern in different tissues suggested that these genes may play a significant role in organ growth and development of I. indigotica. Members that may regulate lignan biosynthesis in roots were also preliminarily identified. Ribonucleic acid sequencing analysis revealed that the expression of 76 IiAP2/ERF genes were up- or down-regulated under salt or drought treatment, among which, 33 IiAP2/ERF genes were regulated by both stresses. CONCLUSION This study undertook a genome-wide characterization of the AP2/ERF superfamily in I. indigotica, providing valuable information for further functional characterization of IiAP2/ERF genes and discovery of genetic targets for metabolic engineering.
Abscisic Acid ; Isatis/genetics* ; Multigene Family ; Phylogeny ; Homeodomain Proteins/genetics* ; Genome, Plant

【Subjects】 To investigate the clinical application value of myocardial contrast echocardiography （MCE） in selecting CTO-PCI patients. MethodsFrom February 2019 to March 2020， a total of 50 patients with chronic coronary artery occlusion were consecutively selected as the research subjects. MCE and two-dimensional speck-tracking echocardiography were completed before and 12 months after interventional therapy. The primary end point was major adverse cardiovascular events. Patients were divided into groups according to the preoperative myocardial perfusion level of MCE. The improvement of left ventricular function was evaluated by two-dimensional echocardiography and left ventricular global longitudinal strain. ResultsCompared with the abnormal perfusion group， the improvement of GLS in the normal perfusion group was greater （P=0.028）. The wall motion score index （WMSI） of the abnormal perfusion group before PCI was higher than that of the normal perfusion group （P=0.002）. WMSI in the abnormal perfusion group was higher than that in the normal perfusion group one year after PCI （P<0.001）. The left ventricular GLS（P=0.008）.WMSI（P=0.016） and left ventricular end-diastolic volume（P=0.032） in the normal perfusion group were improved compared with those before operation； The postoperative perfusion score of patients with abnormal perfusion was significantly improved （ P=0.032）. ConclusionMCE has clinical application value in optimizing the selection of CTO-PCI patients. CTO patients with different myocardial perfusion types have different benefits after PCI.

Objective:To evaluate the effect of "accordion" technique on promoting bony union at the docking site in the treatment of tibial bone defects by bone transport.Methods:A retrospective study was conducted to analyze the data of 11 patients with tibial bone infection who had been admitted to Department of Orthopedics, The Second Hospital of Shanxi Medical University from November 2017 to February 2019. There were 10 males and 1 female with an age of (47.0±9.7) years. Seven patients were infected after internal/external fixation for open fractures and 4 cases after internal fixation for closed fractures. After surgical debridement, sensitive antibiotic bone cement was implanted, and dead or infected bone segments were radically resected. In all patients, the resulting bone defects of (6.6±2.9) cm were fixated by an Ilizarov ring external fixator and filled by bone transport. The "accordion" technique was used after the bone segments touched the docking site. The closure time, "accordion" time, bony union time and complications during bone transport were recorded.Results:None of the patients underwent bone grafting. This case series was followed up for (2.7±0.5) years. The closure time was (30.8±6.8) weeks, the "accordion" time (43.1±8.4) days, and the bony union time (31.6±9.0) weeks. None of the patients had obvious pain. Ankle stiffness was observed in 3 patients and traumatic equinus deformity in 1 patient.Conclusions:The "accordion" technique based on the Illizarov technique can accelerate mineralization of the bone segments transported, promote the bony union at the docking site, and effectively solve the problem of tibial bone defects without surgical bone grafting.

Objective:To conduct a survey on the current situation of family nursing assistants for elderly people with chronic diseases and disability in the community from multiple dimensions such as personal information, work status, professional quality, difficult problems encountered in the nursing process, and solutions.Methods:From April to August 2022, a questionnaire survey was conducted among family nursing assistants of elderly people with chronic diseases and disability in six communities in Beijing using cluster sampling. We conducted a survey and analysis on the current situation of family nursing assistants for elderly people with chronic diseases and disability in the community from multiple dimensions, based on the presence or absence of professional qualification certificates for nursing assistants.Results:The study included 611 nursing assistants, aged (49.99±6.82) years, mainly composed of rural registered residence and education level below junior high school. Only 43.04% (263/611) of nursing assistants had professional qualification certificates for nursing assistants. Compared with those without professional qualification certificate for nursing assistants, those with professional qualification certificate for nursing assistants had statistical differences in gender, registered residence, education level, daily working hours, specific work content of care, monthly income, solutions to reduce the mobility of elderly nursing assistants, working years, feelings of caring for the daily health of elderly people with chronic diseases, psychological status, self-awareness about job, training to improve work skills, basic medical knowledge training, and reasons for not participating in training ( P<0.05). Nursing assistants reported a lack of medical and nursing knowledge and an urgent need for professional training and guidance from medical and nursing staff during the investigation of difficult issues encountered in their work. Conclusions:It is necessary to strengthen and improve the training of nursing professionals and basic medical knowledge of family nursing assistants for elderly people with chronic diseases and disability before and during work, which can help improve the level and quality of care provided by family nursing assistants.

This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Humans ; Depression ; Bayes Theorem ; Machine Learning ; Support Vector Machine ; Blood Cell Count