The zebrafish model has attracted much attention due to its strong reproductive ability, short research cycle, and ease of maintenance. It has always been an important vertebrate model system, often used to carry out human disease research. Its motor behavior features have the advantages of being simpler, more intuitive, and quantifiable. In recent years, it has received widespread attention in the study of traditional Chinese medicine(TCM)for the treatment of sleep disorders, neurodegenerative diseases, fatigue, epilepsy, and other diseases. This paper reviews the characteristics of zebrafish motor behavior and its applications in the pharmacodynamic verification and mechanism research of TCM extracts, active ingredients, and TCM compounds, as well as in active ingredient screening and safety evaluation. The paper also analyzes its advantages and disadvantages, with the aim of improving the breadth and depth of zebrafish and its motor behavior applications in the field of TCM research.
Zebrafish/physiology* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use* ; Disease Models, Animal ; Drug Evaluation, Preclinical/methods* ; Animals ; Sleep Wake Disorders/physiopathology* ; Epilepsy/physiopathology* ; Neurodegenerative Diseases/physiopathology* ; Fatigue/physiopathology* ; Behavior, Animal/physiology* ; Motor Activity/physiology*

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective We proposed a new method that combines autoencoder in deep learning with optimally tuned robust improper maximum likelihood estimator(OTRIMLE)for multi－omics data robust clustering,and further applied it to lower－grade gliomas(LGG)patients clustering.Methods The dimension of LGG's miRNA,mRNA and methylation data was reduced nonlinearly by autoencoder,and then OTRIMLE method was used for robust clustering.Cox proportional hazard model was conducted to evaluate the prognostic risk of different clusters,and differentially expressed miRNAs(DEmiRNAs),differentially expressed mRNAs(DEmRNAs)and differentially methylated genes(DMGs)among different clusters were screened out by differential expression analysis.GO enrichment analysis was performed on the overlapping genes of target genes of DEmiRNAs,DEmRNAs,and DMGs.Finally,we compared the level of infiltrating immune cells and pathway activity in different clusters.Results LGG patients were classified into four clusters,in which the risk of death of patients in cluster 4 was 5.903 times higher than that in cluster 3.8 DEmiRNAs,2890 DEmRNAs and 46 DMGs were identified,and 658 overlapping genes obtained by joint analysis were enriched in 423 GO items.13 pathways with different activity and 4 immune cells with different level of immune infiltration were screened out.Conclusion The OTRIMLE method based on deep learning can effectively handle noise,sparsity and outliers in multi－omics data,achieving robust clustering for LGG patients.The identified immune cells and pathways provide theoretical bases for the subsequent targeted treatment of LGG.

Objective We proposed a new method that combines autoencoder in deep learning with optimally tuned robust improper maximum likelihood estimator(OTRIMLE)for multi－omics data robust clustering,and further applied it to lower－grade gliomas(LGG)patients clustering.Methods The dimension of LGG's miRNA,mRNA and methylation data was reduced nonlinearly by autoencoder,and then OTRIMLE method was used for robust clustering.Cox proportional hazard model was conducted to evaluate the prognostic risk of different clusters,and differentially expressed miRNAs(DEmiRNAs),differentially expressed mRNAs(DEmRNAs)and differentially methylated genes(DMGs)among different clusters were screened out by differential expression analysis.GO enrichment analysis was performed on the overlapping genes of target genes of DEmiRNAs,DEmRNAs,and DMGs.Finally,we compared the level of infiltrating immune cells and pathway activity in different clusters.Results LGG patients were classified into four clusters,in which the risk of death of patients in cluster 4 was 5.903 times higher than that in cluster 3.8 DEmiRNAs,2890 DEmRNAs and 46 DMGs were identified,and 658 overlapping genes obtained by joint analysis were enriched in 423 GO items.13 pathways with different activity and 4 immune cells with different level of immune infiltration were screened out.Conclusion The OTRIMLE method based on deep learning can effectively handle noise,sparsity and outliers in multi－omics data,achieving robust clustering for LGG patients.The identified immune cells and pathways provide theoretical bases for the subsequent targeted treatment of LGG.

Epigenomic imbalance drives abnormal transcriptional processes,promoting the onset and progression of cancer.Although defective gene regulation generally affects carcinogenesis and tumor suppression networks,tumor immunogenicity and immune cells involved in antitumor responses may also be affected by epigenomic changes,which may have significant implications for the development and application of epigenetic therapy,cancer immunotherapy,and their combinations.Herein,we focus on the impact of epigenetic regulation on tumor immune cell function and the role of key abnormal epigenetic processes,DNA methylation,histone post-translational modification,and chromatin structure in tumor immunogenicity,and introduce these epigenetic research methods.We emphasize the value of small-molecule inhibitors of epigenetic modulators in enhancing antitumor immune responses and discuss the challenges of developing treatment plans that combine epigenetic therapy and immuno-therapy through the complex interaction between cancer epigenetics and cancer immunology.

Objective To investigate the clinical characteristics and prognosis of pneumococcal meningitis(PM),and drug sensitivity of Streptococcus pneumoniae(SP)isolates in Chinese children.Methods A retrospective analysis was conducted on clinical information,laboratory data,and microbiological data of 160 hospitalized children under 15 years old with PM from January 2019 to December 2020 in 33 tertiary hospitals across the country.Results Among the 160 children with PM,there were 103 males and 57 females.The age ranged from 15 days to 15 years,with 109 cases(68.1% )aged 3 months to under 3 years.SP strains were isolated from 95 cases(59.4% )in cerebrospinal fluid cultures and from 57 cases(35.6% )in blood cultures.The positive rates of SP detection by cerebrospinal fluid metagenomic next-generation sequencing and cerebrospinal fluid SP antigen testing were 40% (35/87)and 27% (21/78),respectively.Fifty-five cases(34.4% )had one or more risk factors for purulent meningitis,113 cases(70.6% )had one or more extra-cranial infectious foci,and 18 cases(11.3% )had underlying diseases.The most common clinical symptoms were fever(147 cases,91.9% ),followed by lethargy(98 cases,61.3% )and vomiting(61 cases,38.1% ).Sixty-nine cases(43.1% )experienced intracranial complications during hospitalization,with subdural effusion and/or empyema being the most common complication[43 cases(26.9% )],followed by hydrocephalus in 24 cases(15.0% ),brain abscess in 23 cases(14.4% ),and cerebral hemorrhage in 8 cases(5.0% ).Subdural effusion and/or empyema and hydrocephalus mainly occurred in children under 1 year old,with rates of 91% (39/43)and 83% (20/24),respectively.SP strains exhibited complete sensitivity to vancomycin(100% ,75/75),linezolid(100% ,56/56),and meropenem(100% ,6/6).High sensitivity rates were also observed for levofloxacin(81% ,22/27),moxifloxacin(82% ,14/17),rifampicin(96% ,25/26),and chloramphenicol(91% ,21/23).However,low sensitivity rates were found for penicillin(16% ,11/68)and clindamycin(6% ,1/17),and SP strains were completely resistant to erythromycin(100% ,31/31).The rates of discharge with cure and improvement were 22.5% (36/160)and 66.2% (106/160),respectively,while 18 cases(11.3% )had adverse outcomes.Conclusions Pediatric PM is more common in children aged 3 months to under 3 years.Intracranial complications are more frequently observed in children under 1 year old.Fever is the most common clinical manifestation of PM,and subdural effusion/emphysema and hydrocephalus are the most frequent complications.Non-culture detection methods for cerebrospinal fluid can improve pathogen detection rates.Adverse outcomes can be noted in more than 10% of PM cases.SP strains are high sensitivity to vancomycin,linezolid,meropenem,levofloxacin,moxifloxacin,rifampicin,and chloramphenicol.[Chinese Journal of Contemporary Pediatrics,2024,26(2):131-138]

Objective To investigate the survival outcome-weighted method,survClust,and apply it to the multi-omics data of gliomas,to identify molecular subtypes of gliomas with significant molecular heterogeneity and prognostic differences.Methods The multi-omics data from the Chinese Glioma Genome Atlas(CGGA)was used for outcome weighted integrated subtyping using the survClust method,and a Cox proportional risk model was fitted to assess the prognosis of patients with different subtypes.Differentially expressed genes(DEmiRNAs,DEmRNAs,DMGs)between different subtypes were screened,and Gene Ontology(GO)analysis was performed for overlapping genes among DEmiRNAs target genes,DEmRNAs,and DMGs.Finally,we performed immune infiltration analysis between different subtypes.Results The patients with gliomas were divided into high-risk and low-risk groups by using survClust,and the risk of death for patients in the high-risk group was 2.931 times higher than in the low-risk group.The distribution of differential genes was significantly different among different subtypes,and 194 DEmiRNAs,3396 DEmRNAs,and 1230 DMGs were screened.189 overlapping genes were used for GO analysis,and 52 GO terms with statistically significant differences were obtained.In addition,the level of immune infiltration differed statistically between the different subtypes in terms of B cells,CD4+T cells,CD8+T cells,neutrophils,macrophages and myeloid dendritic cells.Conclusion The outcome-weighted integration algorithm survClust can effectively identify subtypes of gliomas with both molecular heterogeneity and significant prognostic differences.At the same time,the potential biomarkers screened based on subtypes will provide a scientific and theoretical basis for individualized treatment of gliomas.

Objective:To investigate the diagnosis value of serum levels of soluble B7-H3(sB7-H3),trefoil factor 1(TFF1)and lipocalin-2(LCN-2)in breast cancer(BC)patients.Methods:From March 2020 to March 2023,196 newly diagnosed BC patients accepted by Huanghe San-menxia hospital were regarded as the study subjects and assigned to the BC group;84 patients with benign breast lesions and 76 physically healthy individuals served as the benign lesion group and the control group,respectively;clinical data were collected.ELISA method was applied to de-tect the serum levels of sB7-H3,TFF1,and LCN-2 in each group,and the relationship between the serum levels of the three and the clinical and pathological characteristics of BC patients was analyzed;Spearman method was applied to analyze the correlation between serum sB7-H3,TFF1,LCN-2 levels and clinical pathological characteristics in BC patients;receiver operating characteristic(ROC)curve was plotted to evaluate the diagnostic value of serum sB7-H3,TFF1,and LCN-2 levels for BC.Results:Compared with the reference group,the serum levels of sB7-H3,TFF1,and LCN-2 in the benign lesion group and BC group were obviously increased(P＜0.05),the serum levels of sB7-H3,TFF1,and LCN-2 in the BC group were obviously higher than those in the benign lesion group(P＜0.05);the serum levels of sB7-H3,TFF1,and LCN-2 were obviously elevated in BC patients with tumour diameter＞2 cm,TNM stage Ⅲ+Ⅳ,lymph node metastasis,and negative ER expression(P＜0.05),the serum levels of sB7-H3,TFF1 and LCN-2 were positively correlated with tumor diameter(r=0.463,0.442,0.481,P＜0.001),positive correla-tion with TNM stage(r=0.474,0.394,0.562,P＜0.001),positive correlation with lymph node me-tastasis(r=0.567,0.488,0.409,P＜0.001),and negative correlation with ER expression(r=-0.575,-0.534,-0.538,P＜0.001);the AUC for serum sB7-H3,TFF1,and LCN-2 alone for BC diagnosis were 0.817,0.814,and 0.830,respectively,and the combined diagnosis was superior to the separate diagnosis(AUC=0.911,95％CI:0.871-0.942).Conclusion:The serum levels of sB7-H3,TFF1 and LCN-2 in BC patients were significantly increased,which is of high clinical value for the diagnosis of BC.

According to the requirements of the regulatory authorities, degree of modification (DP) should be included in the characterisation of the PEGylated protein drug substance, and is one of the critical quality attributes for quality control. In this study, based on the fundamental assumption that the refractive index (RI) signal and the ultraviolet (UV) signal of PEGylated protein are equal to the sum of the corresponding signal produced by the polyethylene glycol (PEG) and protein parts of the conjugates in their uncoupled state, we developed a method to determine the DP of PEGylated recombinant human growth hormone (inpegsomatropin). In this method, 20 μL of 1 mg·mL^-1 human growth hormone (hGH) standard, 2 mg·mL^-1 PEG reference substance and 1 mg·mL^-1 drug substance solution were each injected to size exclusion chromatographic (SEC) column for separation, detected with ultraviolet and refractive index (UV-RI) detectors in series. Finally, the DP was calculated as the formula derived from the fundamental assumption. The developed SEC-UV-RI method showed good specificity, repeatability (RSD = 0.63%, n = 9) and accuracy, with a recovery of 100.0%, compared with the result obtained from the simultaneously established classical acid hydrolysis method, demonstrating pretty handleability and accessibility, and is appropriate for quality control test of DP for this drug substance.