ObjectiveThis study aims to systematically analyze the blood-absorbed components and metabolic profiles of Xiebaisan（XBS） in normal and chronic bronchitis （CB） mice using ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS）， while comparing differences between the two states. MethodsThirty female BABL/c mice were randomly divided into the normal group， the normal drug administration group， the CB group， the CB drug administration group and the dexamethasone group， with 6 mice in each group. The CB mouse model was established by inducing with ovalbumin （OVA）. The mice in the normal drug administration group and the CB drug administration group started to be gavaged with XBS（13.2 g·kg^-1） from the 21^st day， and the dexamethasone group mice were simultaneously gavaged with dexamethasone （0.5 mg·kg^-1） until the end of the 35^th day of the experiment. Subsequently， serum samples were collected and evaluated for their efficacy， based on the pharmacological evaluation indicators， to determine the efficacy of XBS in treating CB. Then the UPLC-Q-Exactive Orbitrap MS was employed to identify and analyze the chemical constituents， blood-absorbed components， and metabolites of XBS. Chemometric analysis was conducted to reveal metabolic profile differences under "dual states". Concurrently， Real-time PCR technology was utilized to detect the expression levels of key liver metabolic enzymes CYP2E1， CYP3A1， UGT1A1， and UGT1A6. ResultsA total of 28 prototype components and 158 metabolites （including 48 phase Ⅰ metabolites and 110 phase Ⅱ metabolites） of XBS were unambiguously identified in the serum of normal mice. Additionally， a comprehensive characterization was performed on a total of 32 prototype components and 178 metabolites （including 50 phase Ⅰ metabolites and 128 phase Ⅱ metabolites） of XBS in the serum of CB mice. Among them， 27 prototype components were detected in both states， including 12 flavonoids， 2 alkaloids， 3 triterpenes， 4 organic acids， 3 amides， 1 stilbene and 2 other compounds. The chemometrics analysis revealed no significant difference in the prototype components and metabolites of XBS between normal and CB mice； however， there was a significant increase in the in-vivo exposure of XBS in CB mice. Compared to normal mice， the levels of phase Ⅰ metabolites such as oxidation， reduction and methylation of blood components of XBS as well as phase Ⅱ metabolites of glucuronidation showed significant changes in CB mice. Real-time PCR further confirmed that these alterations were attributed to the upregulation of CYP2E1 （P<0.05）， CYP3A1 （P>0.05）， UGT1A1 （P<0.01） and UGT1A6 （P<0.01） enzymes expression in the liver of CB mice. ConclusionThis study elucidated the disparities in the levels of the blood-absorbed components and metabolic profiles of XBS in normal and CB mice， especially in oxidation， reduction， methylation in phase Ⅰ metabolism and glucoaldehyde acidification in phase Ⅱ metabolism. And there are related to the differences in the expression levels of phase Ⅰ and phase Ⅱ metabolic enzymes CYP2E1， CYP3A1， UGT1A1 and UGT1A6 in the liver.

Objective To explore the adverse event signals of children using macrolide drugs （azithromycin, clarithromycin, and erythromycin）, and provide reference for rational medicine use in clinical practice. Methods Data from children under 12 years old were extracted from the US FAERS database spanning from the first quarter of 2004 to the second quarter of 2023. The adverse drug reaction （ADR） signal mining for three macrolide antibiotics was conducted using the Reporting Odds Ratio （ROR） and Bayesian Confidence Propagation Neural Network （BCPNN） methods. Special emphasis was placed on analyzing and contrasting the differences in adverse events among the three drugs. Results A total of 1 615 reports for children under 12 years old were retrieved from the FAERS database, including 1 024 reports of azithromycin, 460 reports of clarithromycin, and 131 reports of erythromycin. Among azithromycin and erythromycin, there were more reports from boys than girls, while for clarithromycin, there were more reports from girls than boys. Oral administration was the most common route of administration for all three drugs. Regarding the outcome of adverse events reported, azithromycin and clarithromycin were primarily associated with other serious adverse events, whereas erythromycin was mainly associated with hospitalization and other serious adverse events. The number of adverse events reported decreased with increasing age, with a higher number of reports in the 0-3 age group. Using the ROR and BCPNN methods for signal detection, 86 signals were identified for azithromycin, 91 for clarithromycin, and 34 for erythromycin. These signals involved 22 System Organ Classes （SOCs）, with azithromycin mainly concentrated in skin and subcutaneous tissue disorders （n=21）, clarithromycin in gastrointestinal disorders （n=15）, and erythromycin in gastrointestinal disorders （n=8）. Twenty-four signals of moderate to high risk were detected, with 13 for azithromycin, 9 for clarithromycin, and 2 for erythromycin. Conclusion The adverse events induced by the three drugs with different risks in different systems. When clinically treating Mycoplasma pneumoniae pneumonia in children, the risk profiles of drugs in different systems should be considered, and personalized dosing should be implemented.

Locally advanced non-small cell lung cancer (NSCLC) is a highly heterogeneous disease. For patients with driver gene-negative, unresectable NSCLC, traditional treatment primarily involves concurrent chemoradiotherapy. With the advent of the immunotherapy era, integrated treatment strategies combining concurrent chemoradiotherapy with immunotherapy have significantly improved therapeutic outcomes and substantially extended survival periods. This article summarizes the interaction mechanisms and clinical research progress of radiotherapy, chemotherapy, and immune checkpoint inhibitors in the treatment of NSCLC. This review also provides perspectives on the development of therapies in the future and predictive biomarkers, serving as a reference for treatment options for patients with unresectable locally advanced NSCLC.

Brain metastases are the most common intracranial tumors, and their incidence is increasing with the improvement of systemic treatments and survival rates. Optimal treatment usually requires a multidisciplinary approach, including radiotherapy, surgical resection, chemotherapy, targeted therapy, and immunotherapy. Stereotactic radiotherapy, compared to whole-brain radiotherapy, offers improved local control rates and reduced risk of neurocognitive impairment, and has become a new standard option for the treatment of brain metastases. Additionally, the widespread use of targeted and immune therapies in brain metastases has significantly improved the survival of some patients. This article reviews and integrates recent literature on the treatment of brain metastases and analyzes the role of stereotactic radiotherapy in comprehensive treatment, aiming to provide a reference for the selection of clinical treatment plans.

Pancreatic cancer is an extremely malignant tumor of digestive system, featuring high heterogeneity and poor prognosis. The emergence of pancreatic cancer organoids has provided a new perspectivel for the study of pancreatic cancer. Organoids can accurately simulate the tumor microenvironment and biological characteristics, and reveal the interaction between the tumor and the microenvironment. This article elaborates on the important of organoids in simulating tumor microenvironment, establishing drug screening platform, drug resistance mechanism and promoting personalized therapy. At the same time, the challenges faced by organoids, such as high cost and long modeling time, were analyzed. Pancreatic cancer organoids will play a greater role in personalized treatment and bring new breakthroughs in the research and treatment of pancreatic cancer.

Non-human primate animal models are core tools for the study of highly pathogenic microorganisms and are irreplaceable in the fields of pathology and drug discovery.However,anatomical sampling of non-human primate infection models in high-level biosafety laboratories carries potential risk and related risk assessment and control measures require clarification.Based on biosafety regulations and practical experience,we systematically discuss the risk control strategies of anatomical operations with respect to personal protection,instrument selection,anatomical specifications,documentation,and personnel training.Our review will help to improve the management of high-level biosafety laboratories,reduce the risk of pathogen escape and human infection,and provide support for the safe research of highly pathogenic microorganisms.

Objective:To investigate the role of WW domain containing E3 ubiquitin protein ligase 1 (WWP1) in enamel development of mice.Methods:Single-cell RNA sequencing data of incisor tissues of postnatal day 7 (P7) mice and mandibular first molar tooth germs of P3.5 mice were used to analyze the expression of Wwp1 in dental epithelial cells. Immunohistochemistry was performed to observe the distribution and expression levels of WWP1 in the epithelium of mouse incisors and mandibular first molar tooth germs. Wwp1 knockout (Wwp1 KO) mice were generated and collected with their control littermates at P1, P7, three mice per group, as well as at P14, P28, 2 months (2M), and 3M, six mice per group. The enamel volumes of molars and incisors were analyzed using micro-CT. Scanning electron microscopy was employed to examine the enamel cross-sections of Wwp1 KO and control mice. Energy dispersive spectroscopy (EDS) was used to analyze the calcium and phosphorus content of the enamel rod of incisors. Immunofluorescence was performed to detect the expression of amelogenin (AMELX) in the ameloblasts of Wwp1 KO and control mice. Additionally, LS-8 ameloblast-like epithelial cells were cultured, and Wwp1 siRNA or overexpression plasmids were transfected to knock down or overexpress WWP1. The protein levels of AMELX were then assessed by Western blotting.Results:Single-cell sequencing result showed a high Wwp1 mRNA expression level in the epithelial cells of mouse incisors and mandibular molar tooth germs. Immunohistochemistry revealed the expression of WWP1 in presecretory, secretory, transitional, and mature ameloblasts. Wwp1 KO mice exhibited enamel developmental defects. The enamel volumes of molars and incisors in Wwp1 KO mice [(0.155±0.016), (0.300±0.017) μm 3] were reduced by 23.95% ( P<0.001) and 28.31% ( P<0.001) compared with the control group [(0.203±0.062), (0.418±0.023) μm 3] respectively. Scanning electron microscopy showed disorganized enamel structures in Wwp1 KO incisors and molars. EDS results showed the weight percent of calcium in the enamel rod of incisors decreased in Wwp1 KO mice [(20.74±0.91)%] compared with the control group [(30.30±3.83)%] ( P<0.001), and the calcium-to-phosphorus ratio decreased in Wwp1 KO mice (1.93±0.01) compared with the control group (2.02±0.01) ( P<0.001). Immunofluorescence showed weaker AMELX expression in ameloblasts of mandibular first molar tooth germs from P1 and P7 Wwp1 KO mice compared with the control group ( P<0.001, P<0.001). In LS-8 cells, Wwp1 knocked-down led to a decrease of AMELX protein expression, while WWP1 overexpression resulted in an increased AMELX protein level. Conclusions:WWP1 promotes ameloblast differentiation and enamel matrix mineralization, playing a critical role in enamel formation.

Objectives:To investigate the effect of non-optimal temperature exposure during pregnancy on the risk for preterm birth and identify the susceptible exposure window. At the same time, the interaction between non-optimal temperature and pollutants exposure during pregnancy on preterm birth was analyzed, in order to provide strong clues for the influence of non-optimal temperature exposure during pregnancy on the risk for preterm birth.Methods:A total of 1 852 pregnant women were recruited from September 2021 to June 2023 in Fujian Provincial Maternal and Child Health Care Center. Questionnaire survey was conducted, and their health records were analyzed. The permanent address of each pregnant woman was matched with Fifth Generation European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis of the Global Climate and a geo-statistical combination model based on satellite remote sensing data collection, then follow-up for pregnancy outcome was conducted. Distributed lag nonlinear model was used to assess the association between exposure to non-optimal temperature during pregnancy and the risk for preterm birth and a multiplicative interaction model was used to assess the interaction between exposure to pollutants and non-optimal temperatures during pregnancy on the risk for preterm birth.Results:After adjusting for potential confounders such as maternal age, occupation, Gross Domestic Product of the region, pre-pregnancy preconception BMI, newborn sex, the weekly susceptibility windows of extreme low temperature ( P1, P3, P5) were week 1-22 , and the weekly susceptibility windows of extreme high temperature ( P95, P97, P99) were week 27 and week 32-36. Extreme low temperature [ P1 ( OR=1.147, 95% CI: 1.041-1.265), P5 ( OR=1.284, 95% CI: 1.035-1.501)] and extreme high temperature [ P97 ( OR=1.146, 95% CI: 1.039-1.263), P99 ( OR=1.216, 95% CI: 1.099-1.345)] exhibited multiplicative interaction with PM 2.5. Conclusions:Exposure to non-optimal temperature during pregnancy was associated with an increased risk for preterm birth. The susceptible exposure windows of extreme low temperature were mainly in early and mid-pregnancy, and the susceptible exposure windows of extreme high temperature were mainly in late-pregnancy. Exposure to non-optimal temperatures and pollutants during pregnancy was associated with an increased risk for preterm birth.

Objective To explore the change trajectory of self-acceptance of patients with permanent urostomy,in order to provide basis for self-acceptance intervention practice of patients.Methods 168 patients with abdominal wall stoma with urinary diversion from June 2021 to June 2023 in Fudan University Cancer Hospital were selected as the survey subjects by convenience sampling.We used a general information questionnaire,SAQ,PTGI,SSRS,and COST-PROM.Baseline surveys were conducted a week after surgery(T0),and follow-up surveys were conducted at 1 month(T1),3 months(T2),and 6 months(T3)after discharge.The mixed model of latent variable growth was used to analyze the change trajectory of self-acceptance of patients with permanent urinary stoma,and the core predictors of each subtype were explored through the decision tree model.Results The number of patients who participated in the 4 surveys was 168,168,165 and 163,respectively,and the final questionnaire recovery rate was 97.02％(163/168).The self-acceptance scores of patients with permanent urostomy were(35.72±8.63)(36.81±9.23)(39.88±8.95)and(43.17±9.56)points,respectively.The 3 subgroups of self-acceptance changes were identified,including low self-acceptance slow rising group(49.08％),medium self-acceptance first falling then rising group(30.06％),and medium self-acceptance fast rising group(20.86％)(P＜0.001).The decision tree model showed that education level,age,post-traumatic growth,social support,and economic burden could all predict the change track subtype of self-acceptance of patients with permanent urostomy,and the importance of post-traumatic growth was 100％.Conclusion The self-acceptance of patients with permanent urostomy is generally on the rise,and there is a population heterogeneity development track.Posttraumatic growth is the core predictor.It is important to identify the slow increase group of low self-acceptance according to the predictive indicators,and construct an intervention program focusing on improving the post-traumatic growth of patients with permanent urinary stoma to improve their self-acceptance level.

Objective:To evaluate the left atrial function in patients with hypertrophic cardiomyopathy（HCM）combined with heart failure with preserved ejection fraction（HFpEF）using four-dimensional automated left atrial quantification（4D Auto LAQ）technology，and to investigate the independent factors affecting patients with HCM combined with HFpEF.Methods:One hundred HCM patients with left ventricular ejection fraction（LVEF）≥ 50% who were admitted to the First Affiliated Hospital of Zhengzhou University from September 2023 to March 2025 were prospectively selected. There were 50 cases in the HFpEF group and 50 cases in the non-HF group. The clinical data and conventional ultrasound parameters of HCM patients were collected. The 4D Auto LAQ technology was applied to obtain the four-dimensional volume and strain parameters of the left atrium，including the minimum left atrial volume（LAVmin），the maximum left atrial volume（LAVmax），the maximum left atrial volume index（LAVImax），the pre-atrial contraction volume（LAVpreA），the left atrial emptying volume（LAEV），the left atrial ejection fraction（LAEF），the longitudinal and circumferential strains in the left atrial reservoir period（LASr，LASr-c），the longitudinal and circumferential strains in the left atrial conduit period（LAScd，LAScd-c），the longitudinal and circumferential strains in the left atrial contraction period（LASct，LASct-c），and the minimum left atrial volume index（LAVImin）. The differences in the above parameters between the two groups were compared. Univariate and multivariate Logistic regression analyses were used to analyze the independent influencing factors in HCM patients with HFpEF. The intraclass correlation coefficient was used to test the repeatability of the 4D Auto LAQ parameters.Results:Compared with the non-HF group，LAVmin，LAVmax，LAVpreA，LAVImin，and LAVImax increased，while LAEF，LASr，LAScd，LASct，LASr-c，LAScd-c，and LASct-c decreased in the HFpEF group（all P<0.05）. Multivariate Logistic regression analysis showed that LASr was the strongest independent influencing factor in patients with HCM combined with HFpEF（ OR=0.255， P=0.003）. The consistency test showed that the intraclass correlation coefficients of each parameters of 4D Auto LAQ were all>0.7，the consistency was good. Conclusions:4D Auto LAQ technology can be used to evaluate left atrial function in patients with HCM combined with HFpEF，and LASr is the strongest independent influence factor in patients with HCM combined with HFpEF.