Aim To explore the impacts of high mobility group box 1 (HMGB1) on the phenotypes, endocy-tosis and extracellular signal-regulated kinase (ERK)/ Jun N-terminal protein kinase (JNK)/P38 mitogen-ac-tivated protein kinase (MAPK) signaling pathway in indoxyl sulfate (IS) -induced dendritic cells (DCs). Methods After treatment with 30, 300 and 600 (xmol · L

Objective To compare the effects of 20 mg qd and 10 mg bidadministration of iprrazole enteric-coated tablets on the control of gastric acid in healthy subjects.Methods A randomized,single-center,parallel controlled trial was designed to include 8 healthy subjects.Randomly divided into 2 groups,20 mg qd administration group:20 mg enteric-coated tablets of iprrazole in the morning;10 mg bid administration group:10 mg enteric-coated tablets of iprrazole in the morning and 10 mg in the evening.The pH values in the stomach of the subjects before and 24 h after administration were monitored by pH meter.The plasma concentration of iprazole after administration was determined by HPLC-MS/MS.The main pharmacokinetic parameters were calculated by Phoenix WinNonlin(V8.0)software.Results The PK parameters of iprrazole enteric-coated tablets and reference preparations in fasting group were as follows:The Cmax of 20 mg qd group and 10 mg bid group were(595.75±131.15)and(283.50±96.98)ng·mL-1;AUC0-t were(5 531.94±784.35)and(4 686.67±898.23)h·ng·mL-1;AUC0-∞ were(6 003.19±538.59)and(7 361.48±1 816.77)h·ng·mL-1,respectively.The mean time percentage of gastric pH＞3 after 20 mg qd and 10 mg bid were 82.64％and 61.92％,and the median gastric pH within 24 h were 6.25±1.49 and 3.53±2.05,respectively.The mean gastric pH values within 24 h were 5.71±1.36 and 4.23±1.45,respectively.The correlation analysis of pharmacokinetic/pharmacodynamics showed that there was no significant correlation between the peak concentration of drug in plasma and the inhibitory effect of acid.Conclusion Compared with the 20 mg qd group and the 10 mg bid group,the acid inhibition effect is better,the administration times are less,and the safety of the two administration regimes is good.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

[Objective]To explore the regulatory mechanism of hypoxia exposure on carbon metabolism pathway in spleen of mice.[Methods]C57BL/6 mice were raised at altitudes of 400 m and 4 200 m,with 5 mice in each group.After 30 days,spleen tissues were aseptically removed for analysis of differentially expressed genes,proteins,and metabolites using transcriptome sequencing,proteomics,and non-targeted metabolomics.GO and KEGG enrichment analysis were conducted to explore key pathways.The key genes and protein in the pathway were validated by RT-qPCR and Western blot.[Results]Transcriptome sequencing revealed a significant difference in the expression of 4 213 genes in hypoxic exposure,of which 1 947 were up-regulated and 2 266 were down-regulated.The analysis of differentially expressed proteins showed that 166 proteins were up-regulated and 39 proteins were down-regulated.The results of non-targeted metabolomics showed that 133 different metabolites were screened under high altitude hypoxia condition,of which 95 were up-regulated and 38 were down-regulated.KEGG enrichment analysis showed that differentially expressed genes,differentially expressed proteins and differentially expressed metabolites were enriched into the carbon metabolic pathway.Therefore,the key genes and proteins in the carbon metabolic pathway were verified.The mRNA and protein expressions of PGAM2、ENO3、PRPS2、PGLS、RPE、IDH3A、SUCLA2 and MDH2 were significantly down-regulated in the carbon metabolism pathway.[Conclusion]Low oxygen environment at high altitude weakens glycolysis,tricarboxylic acid cycle and pentose phosphate pathway by inhibiting the carbon metabolism pathway of the body,resulting in oxidative stress and energy metabolism imbalance.

Surface-enhanced Raman scattering(SERS)can detect molecules adsorbed on the surface of noble metals in monolayers and sub-monolayers,and provide structural information of molecules with high sensitivity,high accuracy,and fingerprint recognition and non-destructive detection.The SERS technology has been widely used in single-molecule detection,chemical reaction and engineering,biomedicine,nanomaterials and environmental detection,and so on.The spectral sensitivity and signal reproducibility of SERS are closely related to the type of noble metal substrate.In this paper,based on the mechanism of electromagnetic field enhancement(EM)and chemical enhancement(CM)of SERS,the affecting factors of SERS enhancement were analyzed,including the micro-nanostructure of SERS substrate,particle size,particle spacing,etc,the research and application of SERS substrate in recent years were summarized and reviewed,and the development direction of metal substrate,data analysis and application direction of SERS technology in the future were prospected.

Objective To investigate the distribution of traditional Chinese medicine(TCM)syndromes in the patients with acute cerebral infarction,and to analyze the correlation of TCM syndromes with collateral circulation,cerebral blood perfusion and prognosis.Methods A total of 300 patients with acute cerebral infarction were selected.All patients underwent head-neck CT angiography(CTA)and CT perfusion imaging(CTP),and then were followed up for 30 days.The prognosis was evaluated by modified Rankin Scale(MRS)score.In addition,the dynamic evolution of TCM syndromes was observed to explore the correlation of TCM syndromes with collateral circulation,cerebral blood flow perfusion in the lesion area and prognosis.Logistic regression analysis was used to explore the influences of TCM syndromes,blood flow perfusion and collateral circulation establishment on stroke outcomes.Results(1)Highest incidences of syndrome elements of phlegm,blood stasis and wind were presented in ACI patients.The syndrome element of qi deficiency was predominated in the patients with anterior/posterior communicating artery opening and extracranial-to-intracranial collateral circulation establishment.On the first day of onset,the incidence of qi deficiency syndrome element in the good collateral circulation group was lower than that in the poor collateral circulation group(P＜0.05).On the 30th day after onset,the incidences of qi deficiency syndrome element and phlegm syndrome element in the good collateral circulation group were significantly lower than those in the poor collateral circulation group(P＜0.01).The results of correlation analysis showed that the score of qi deficiency was negatively correlated with regional cerebral blood volume(rCBV)of region of interest(r=-0.472,P＜0.05),and the score of yin deficiency was positively correlated with rCBV(r=-0.557,P＜0.01)on the first day of onset.The incidence of qi deficiency in the lesion area was relatively high in the patients of decreased rCBV(rCBV＜1.0 score)group(P＜0.01),while the incidence of yin deficiency in the lesion area was relatively high in the patients of elevated rCBV(rCBV＞1.0 score)group(P＜0.05).(2)The distribution of syndrome elements on the first day of onset showed that the incidence of qi deficiency syndrome element in the poor prognosis group was significantly higher than that in the good prognosis group(P＜0.01);on the 30th day after onset,the incidences of qi deficiency syndrome element and phlegm syndrome element in the good prognosis group was significantly lower than those in the poor prognosis group(P＜0.05 or P＜0.01).The incidence of phlegm syndrome element in the good prognosis group was significantly reduced on the 30th day after onset compared with that on the first day of onset(χ2=7.409,P＜0.01),while there was no significant difference shown in the poor prognosis group(P＞0.05).(3)Logistic regression analysis showed that syndrome elements(qi deficiency,phlegm),collateral circulation grading,and rCBV in the lesion area were the independent risk factors for stroke outcomes.Conclusion The acute cerebral infarction patients with poor collateral circulation,decreased blood perfusion and poor prognosis are predominated by qi deficiency syndrome element.Moreover,phlegm syndrome element is presented in the patients with poor prognosis throughout the course of disease.It is indicated that qi deficiency syndrome element and phlegm syndrome element play an important role in the pathogenesis and progression of acute cerebral infarction.

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]

Recombinase polymerase amplification technology, as a new type of nucleic acid constant temperature amplification detection technology, has shown enormous application potential and development prospects in recent years. Its unique advantages such as high sensitivity, high specificity, low dependence on instruments, and the ability to integrate multiple detection modes make it widely applicable in multiple fields, especially in grassroots and on-site real-time detection. This article reviews the development history, detection principles, research and application progress of recombinant enzyme polymerase amplification technology, and looks forward to its future development, in order to provide useful references for the research and clinical application of rapid pathogen detection methods based on recombinant enzyme polymerase amplification technology.

Integrons, an important system in bacteria that can capture, express, and excise exogenous genes (particularly antibiotic resistance genes), have received considerable attention in recent years. The integrons integrated onto transposons, conjugative plasmids, phages, or chromosomes can capture gene cassettes through site-specific recombination and facilitate their expression. Through a specific excision mechanism, gene cassettes can also be precisely excised and spread within bacterial populations via horizontal gene transfer and other means. This series of processes not only promotes the reconfiguration of gene cassettes and maintains diversity, but also provides flexibility for bacteria to adapt to constantly changing environments. This article will focus on the latest research advances in the capture, excision, and expression regulation mechanisms of integrons, in order to help researchers have a deeper understanding of the evolutionary trends of integrons and provide valuable insights for the study of bacterial antibiotic resistance dissemination mechanisms and the development of new antibiotics.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.