ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

Objective: To investigate the incidence and independent risk factors of adverse events (AEs) associated with therapeutic plasma exchange (TPE) in patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT), and to provide evidence to support the safe use of TPE in clinical practice. Methods: This retrospective study included 167 allo-HSCT recipients who underwent a total of 385 TPE procedures between March 2022 and December 2023. Patients were divided into two groups according to the occurrence of TPE-related AEs. Baseline characteristics, plasma exchange parameters, and clinical features were collected. Univariate analysis and multivariable Firth logistic regression were performed to identify independent risk factors for AEs. Results: A total of 385 TPE procedures were performed in 167 allo-HSCT patients, and 33 patients (19.8%) experienced TPE-related AEs. Among the 33 patients who experienced AEs, allergic reactions were the most common (n=18, 54.5%), followed by blood pressure fluctuations (n=11, 33.3%) and hypocalcemia (n=4, 12.1%). Most AEs were classified as grade II (n=23, 69.7%), and no grade IV (fatal) events were observed. Univariate analysis demonstrated a significant difference in the incidence of AEs among different hematocrit (HCT) categories (<20%, 20%-30%, and>30%) (Fisher's exact test, P=0.022). Although the overall difference was statistically significant, none of the pairwise comparisons remained significant after Bonferroni correction (adjusted P>0.0167). Multivariable Firth logistic regression identified higher HCT levels, analyzed as a continuous variable (OR=1.07, 95% CI: 1.01-1.13, P=0.020), and TPE performed for cytokine release syndrome (CRS) (OR=9.21, 95% CI: 1.25-78.00, P=0.030) as potential independent risk factors for TPE-related AEs. Receiver operating characteristic (ROC) curve analysis showed that HCT had an AUC of 0.67 (95% CI: 0.57-0.77) for predicting AEs, with an optimal cutoff value of 24.5%, a sensitivity of 60.6%, and a specificity of 75.4%. Using this cutoff, the AEs rate was significantly higher in patients with HCT≥24.5% than in those with HCT<24.5% (37.7% vs 11.4%, P<0.001). Conclusion: A-mong allo-HSCT patients receiving TPE, allergic reactions were the predominant AEs. Higher HCT levels and TPE performed for CRS may be associated with an increased risk of AEs. HCT≥24.5% may help identify patients requiring intensified monitoring, although its discriminatory ability is moderate (AUC=0.67) and it should not be used as a standalone criterion for clinical decision-making. Findings regarding the CRS subgroup require validation in larger cohorts. Optimizing extracorporeal circuit priming and strengthening peri-procedural monitoring may help improve the safety of TPE.

Objective To explore the clinical application value of contrast-enhanced ultrasound in the differential diagnosis of testicular masses.Methods A total of 63 patients at the First Affiliated Hospital of Wenzhou Medical University with testicular masses from January 2014 to August 2024 were sellected.All patients underwent both conventional ultrasound and contrast-enhanced ultrasound examinations.Among them,pathological results were obtained through surgical resection in 55 cases,and 8 non-tumorous patients were diagnosed through clinical follow-up.According to the results,testicular masses were classified into neoplastic and non-neoplastic lesions.Neoplastic lesions were further divided into benign and malignant masses.The routine ultrasound parameters,serum tumor markers and ultrasound contrast parameters were analyzed.Results In the differential diagnosis between neoplastic and non-neoplastic lesions of the testis,there were significant statistical differences in the maximum diameter of the mass,blood flow grade,enhancement time,and enhancement intensity(P<0.05).In the differential diagnosis between benign and malignant testicular masses,significant statistical differences were found in mass location,maximum diameter of the mass,echo characteristics,blood flow grade indicators,enhancement time,and enhancement intensity(P<0.05).Conclusion Contrast-enhanced ultrasound may have certain reference value in the diagnosis of testicular masses.Hypo-enhancement or non-enhancement,along with slow enhancement,may be manifestations of benign lesions.

Lymphoma is a highly heterogeneous malignancy characterized by complex molecular regulatory mechanisms that result in significant differences in aggressiveness and prognosis across its subtypes.Gene copy number alteration(CNA)analysis,an emerging technology,has become a pivotal tool in the precision re-search and management of lymphoma.By detecting DNA deletions,amplifications,and chromosomal copy number changes,CNA analysis addresses the limitations of traditional cytogenetic techniques,enhances the ac-curacy of subtype classification,and aids in evaluating tumor heterogeneity and disease progression.This re-view provides a comprehensive summary of CNA detection methods and their applications in lymphoma,with a focus on recent advancements in the field.It offers a comparative analysis of CNA detection techniques and discusses their role in precision diagnosis,subtype classification,monitoring disease progression,predicting therapeutic resistance,and assessing prognosis.Additionally,the review explores the potential applications of CNA analysis in uncovering molecular regulatory mechanisms,optimizing therapeutic strategies,and impro-ving patient survival outcomes.

Objective:To analyze the associated factors and cumulative effects of cardiometabolic multimorbidity (CMM) among residents in southern Xinjiang.Methods:A stratified random cluster sampling method was used to conduct questionnaire surveys, physical examinations and laboratory tests among the personnel of the 51st Brigade, 3rd Division, Xinjiang, in 2016. The multivariate logistic regression, multivariate linear regression, restricted cubic spline, and network analysis methods were used to study the association of lifestyle (smoking, alcohol consumption and physical activity), socioeconomic (occupation, education and marital status) and clinical factors (waist circumference, body mass index and family history) with CMM.Results:A total of 12 773 study subjects were included. The prevalence of cardiovascular metabolic diseases among residents in southern Xinjiang was 52.49%. Specifically, the prevalence rates of dyslipidemia, hypertension, coronary heart disease, diabetes, and stroke were 31.14%, 29.95%, 6.78%, 6.26%, and 2.47%, respectively, and the prevalence of CMM was 19.06%. Multivariate logistic regression analysis revealed that the associations between clinical and socioeconomic factors and CMM significantly increased with higher scores. Specifically, the OR rose from 1.75 (clinical factors) and 1.07 (socioeconomic factors) on a score of 1 to 4.41 and 1.93 on a score of 3, respectively. The association between lifestyle factors and CMM was only observed at higher scores ( OR=1.26, 95% CI:1.07~1.62). The trend test using the scores of each group as continuous variables in the model showed that the risk of disease increased with the accumulation of clinical, socioeconomic and lifestyle factors (all P<0.05). Restricted cubic spline analysis demonstrated a non-linear relationship between the total number of associated factors and CMM ( Poverall<0.05 and Pnon-linear<0.05). Network analysis identified hypertension (strength=0.42) as the “core node” among the five diseases. When analyzing the three types of influencing factors, hypertension (strength=0.68), dyslipidemia (strength=0.47), coronary heart disease (strength=0.37), and clinical factors (strength=0.53) emerged as “core nodes”. In the network of nine associated factors, abnormal waist circumference and BMI (strength=0.90 and 0.84) were identified as “key factors”, while hypertension (strength=0.68) and dyslipidemia (strength=0.52) were identified as “key diseases”. Conclusion:The prevalence of CMM among residents in southern Xinjiang is high, and there is a cumulative effect of multiple factors. Hypertension and dyslipidemia are key diseases in the multimorbidity network, while abnormal BMI and waist circumference are key associated factors.

Objective To explore the expression of long non-coding RNA hypoxia-inducible factor 1 alpha antisense RNA-1(lncRNA HIF1A-AS1)levels in placenta and cord blood of pregnant women with preeclampsia(PE)and its clinical significance.Methods Fifty pregnant women with PE who underwent cesarean section in Renji Hospital,Shanghai Jiaotong University School of Medicine from January 2020 to January 2022 were selected as the research subjects,including 24 pregnant women with mild PE and 26 pregnant women with severe PE.During the same period,25 healthy pregnant women who underwent cesarean section at the hospital were selected as the control group.The general data on the admission of all patients were collected.The real-time fluorescence quantitative qRT-PCR method was used to detect the expression level of lncRNA HIF1A-AS1 in pregnant women's placenta tissue and cord blood.The relationship between lncRNA HIF1A-AS1 level and pregnancy outcome was analyzed.The Pearson method was used to analyze the correlation between the relative expression level of lncRNA HIF1A-AS1 mRNA in placenta tissue and the level of lncRNA HIF1A-AS1 in cord blood.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of lncRNA HIF1A-AS1 in placenta and cord blood for severe PE.Logistic regression was used to analyze the influencing factors of severe PE.Results Compared with the control group,the level of lncRNA HIF1A-AS1(2.76±0.36,1.83±0.29 vs 1.03±0.21)was elevated in the placental tissues of pregnant women with PE in the severe and mild groups(q=29.687,13.456),and the expression level of lncRNA HIF1A-AS1 in the severe group was higher than that in the mild group(q=15.792),and the differences were statistically significant(all P＜0.05).Compared with the control group,the level of lncRNA HIF1A-AS1(4.68±0.58,2.66±0.49 vs 1.06±0.34)was elevated in the cord blood of pregnant women with PE in the severe and mild groups(q=37.942,14.437),and the expression level of lncRNA HIF1A-AS1 in the severe group was higher than that in the mild group(q=20.951),and the differences were statistically significant(all P<0.05).The incidence of adverse pregnancy outcomes in placenta and cord blood lncRNA HIF1A-AS1 high expression group was significantly higher than that in lncRNA HIF1A-AS1 low expression group(χ2=7.714,5.773,all P<0.05).Pearson correlation analysis showed that the expression level of lncRNA HIF1A-AS1 mRNA in placenta tissue was positively correlated with the level of lncRNA HIF1A-AS1 in cord blood(r=0.546,P<0.05).ROC curve analysis showed that the area under the curve of lncRNA HIF1A-AS1 in the placenta for the diagnosis of severe PE was 0.788,with a sensitivity and a specificity of 80.80%and 80.00%,respectively.The AUC of lncRNA HIF1A-AS1 in the cord blood for the diagnosis of severe PE was 0.829,with a sensitivity and a specificity of 80.80%and 88.00%,respectively.Logistic regression analysis showed that 24-hour proteinuria,and placental and cord blood lncRNA HIF1A-AS1 levels were independent risk factors for severe PE(all P<0.05).Conclusion LncRNA HIF1A-AS1 in the placenta and cord blood of PE pregnant women is significantly up-regulated,and it increases with the aggravation of the disease.Placenta and cord blood lncRNA HIF1A-AS1 have a certain diagnostic value for the occurrence of severe PE.Detection of lncRNA HIF1A-AS1 has important significance for the early and accurate diagnosis of PE and the prediction of the disease.

Objective:To establish and validate a nomogram for postoperative disease progression (including recurrence, metastasis, and death) in patients with primary liver cancer (PLC) based on quantitative CT measurements of relevant indicators.Methods:Clinical data of 290 patients with PLC admitted to Zhongshan Hospital Affiliated to Fudan University and Kunshan Hospital Affiliated to Jiangsu University from January 2016 to December 2021 were retrospectively collected, including 177 males and 113 females, aged (60.3±11.9) years. Two hundred and three patients admitted to Zhongshan Hospital Affiliated to Fudan University were used as the training set, and 87 patients admitted to Kunshan Hospital Affiliated to Jiangsu University were used as the validation set. The patient's condition of ascites , tumor length, number of lesions, tumor differentiation degree, relevant indicators of quantitative CT detection (including decreased muscle mass and increased intra-abdominal fat area), prognosis and other clinical data were recorded. The influencing factors of postoperative disease progression was analyzed through multiple logistic regression in the training set, and the nomogram model was constructed based on the results of multiple factor analysis. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curves and calibration curves. The clinical applicability of predictive models was evaluated using the decision curve analysis.Results:The results of multiple logistic regression analysis showed that the increase in maximum tumor diameter ( OR=1.519, 95% CI: 1.251-1.843), multiple lesions ( OR=3.193, 95% CI: 1.493-6.830), low tumor differentiation ( OR=5.604, 95% CI: 2.442-12.863), ascites ( OR=3.321, 95% CI: 1.166-9.463), portal vein tumor thrombus ( OR=3.990, 95% CI: 1.681-9.474), decreased muscle mass ( OR=2.173, 95% CI: 1.051-4.492) and increased intra-abdominal fat area ( OR=2.634, 95% CI: 1.276-5.438) were independent risk factors for postoperative disease progression in patients with PLC (all P<0.05). A nomogram was constructed based on the above variables, and the area under the ROC curve for predicting postoperative disease progression in patients with PLC in the training set and validation set was 0.862 (95% CI: 0.810-0.914) and 0.879 (95% CI: 0.806-0.953), respectively. The calibration curve and ideal curve fit well, indicating that the predicted situation was basically consistent with the actual situation. Decision curve analysis showed that the column chart model had a high clinical net benefit and good clinical prediction effectiveness. Conclusion:The nomogram constructed based on the maximum diameter of the tumor, the number of lesions, the degree of tumor differentiation, ascites, portal vein tumor thrombus, decreased muscle mass, and increased intra-abdominal fat area has good predictive power for postoperative disease progression in patients with PLC.

Objective:To investigate the prevalence and risk factors of overweight and obesity among Chinese children aged 3-18 years from 11 provinces, antonomous regions, or municipalities.Methods:This national cross-sectional community health survey utilized a multistage stratified cluster-random sampling method to recruit 193 997 nationally representative participants from 11 provinces, autonomous regions, or municipalities between January 2017 and December 2019. All participants underwent physical examinations, and their caregivers completed questionnaires assessing participants′ dietary, lifestyle, familial, and perinatal information. Multilevel multinomial logistic regression models were employed to identify the potential risk factors.Results:The cohort comprised 193 997 children (102 178 boys, 91 819 girls),aged (10±4) years. Overall prevalence rates were 30 574(15.8%)overweight children and 17 217(8.9%) obesity children. Boys exhibited higher overweight and obesity rates than girls (17.0% (17 368/102 178) vs. 14.4% (13 206/102 178), 11.3% (11 553/91 819) vs. 6.2% (5 664/91 819), χ2=249.12,1 578.69,both P<0.001). The detection rates of obesity in Tanner stage 2 and 3 were the highest in boys and girls, with 13.4%(2 231/16 665) and 8.6%(880/10 221) respectively. Risk factors for obesity included parental overweight (paternal OR=2.34 and maternal OR=2.29), annual household income of 100 000-200 000 yuan (compared with<100 000 yuan, OR=1.04), higher paternal education (compared with below high school,high school and a college education OR=1.09,1.14), birth weight >4.0 kg (≤5 and>5 years old OR=1.74, 1.44,respectively), and western food consumption≥1 time/month (compared with<1, 1-2, 3-4,>4 times/month OR=1.36, 1.30, 1.67(≤5 years), 1.19, 1.16, 1.15 (>5 years), respectively) (all P<0.05). Conversely, coarse grain intake≥1 times/week (compared with<1 times/week, every day, 3-4, 1-2 times/week OR=0.74, 0.80, 0.71 (≤5 years), 0.75, 0.87, 0.90(>5 years), respectively, all P<0.05) was associated with reduced obesity risk. Conclusions:Obesity epidemiology in children demonstrates significant heterogeneity across age, gender, geographic regions, and pubertal stages. It is necessary to establish a personalized prevention and control strategy.

Objective To explore the clinical application value of contrast-enhanced ultrasound in the differential diagnosis of testicular masses.Methods A total of 63 patients at the First Affiliated Hospital of Wenzhou Medical University with testicular masses from January 2014 to August 2024 were sellected.All patients underwent both conventional ultrasound and contrast-enhanced ultrasound examinations.Among them,pathological results were obtained through surgical resection in 55 cases,and 8 non-tumorous patients were diagnosed through clinical follow-up.According to the results,testicular masses were classified into neoplastic and non-neoplastic lesions.Neoplastic lesions were further divided into benign and malignant masses.The routine ultrasound parameters,serum tumor markers and ultrasound contrast parameters were analyzed.Results In the differential diagnosis between neoplastic and non-neoplastic lesions of the testis,there were significant statistical differences in the maximum diameter of the mass,blood flow grade,enhancement time,and enhancement intensity(P<0.05).In the differential diagnosis between benign and malignant testicular masses,significant statistical differences were found in mass location,maximum diameter of the mass,echo characteristics,blood flow grade indicators,enhancement time,and enhancement intensity(P<0.05).Conclusion Contrast-enhanced ultrasound may have certain reference value in the diagnosis of testicular masses.Hypo-enhancement or non-enhancement,along with slow enhancement,may be manifestations of benign lesions.