ObjectiveTo explore the changes in color， odor and chemical components during wine-processing of Chuanxiong Rhizoma（CR）， identify differential markers， and provide a basis for standardizing the process and establishing quality standards. MethodsFifteen batches of CR samples from 4 producing areas were collected. Colorimeter and electronic nose were used to detect the color changes and odor components of CR before and after wine-processing. Multivariate statistical methods including partial least squares-discriminant analysis（PLS-DA）， principal component analysis（PCA）， discriminant factor analysis（DFA） and Fisher discriminant analysis were applied to identify wine-processed CR at different processing stages and establish discriminant models， and differential components were screened out based on variable importance in the projection（VIP） value1. Then， high performance liquid chromatography（HPLC） was employed to detect the content changes of four components（ferulic acid， senkyunolide I， senkyunolide A and ligustilide） during the processing stages. ResultsThe differences of wine-processed CR at various stages were primarily reflected in color parameters L^*（brightness value）， a^*（red-green value） and b^*（yellow-blue value）. Based on chromaticity differences， the color reference ranges were established for moderately processed CR， including L^* of 46.75-48.24， a^* of 5.37-6.07 and b^* of 20.32-21.70. In odor analysis， DFA revealed significant differences among processing stages， and 11 odor markers were identified， with four differential markers（4-hydroxy-3-butylphthalide， isopropyl butyrate， L-limonene and 1-methoxyhexane） based on VIP values. HPLC results showed that there was no significant difference of the four components except for ligustilide in wine-processed CR at different stages. ConclusionThis study achieved rapid identification of wine-processed CR with different processing degrees by electronic sensory technology and differential component content detection， with discrimination accuracy rates of 92.4% and 93.272% for color and odor， respectively. This paper also established the reference ranges of main colorimetric parameters for wine-processed CR at different stages， and four differential components were screened out， providing a basis for standardizing the processing of wine-processed CR and establishing quality standards for this decoction pieces.

ObjectiveTo explore the changes in color， odor and chemical components during wine-processing of Chuanxiong Rhizoma（CR）， identify differential markers， and provide a basis for standardizing the process and establishing quality standards. MethodsFifteen batches of CR samples from 4 producing areas were collected. Colorimeter and electronic nose were used to detect the color changes and odor components of CR before and after wine-processing. Multivariate statistical methods including partial least squares-discriminant analysis（PLS-DA）， principal component analysis（PCA）， discriminant factor analysis（DFA） and Fisher discriminant analysis were applied to identify wine-processed CR at different processing stages and establish discriminant models， and differential components were screened out based on variable importance in the projection（VIP） value1. Then， high performance liquid chromatography（HPLC） was employed to detect the content changes of four components（ferulic acid， senkyunolide I， senkyunolide A and ligustilide） during the processing stages. ResultsThe differences of wine-processed CR at various stages were primarily reflected in color parameters L^*（brightness value）， a^*（red-green value） and b^*（yellow-blue value）. Based on chromaticity differences， the color reference ranges were established for moderately processed CR， including L^* of 46.75-48.24， a^* of 5.37-6.07 and b^* of 20.32-21.70. In odor analysis， DFA revealed significant differences among processing stages， and 11 odor markers were identified， with four differential markers（4-hydroxy-3-butylphthalide， isopropyl butyrate， L-limonene and 1-methoxyhexane） based on VIP values. HPLC results showed that there was no significant difference of the four components except for ligustilide in wine-processed CR at different stages. ConclusionThis study achieved rapid identification of wine-processed CR with different processing degrees by electronic sensory technology and differential component content detection， with discrimination accuracy rates of 92.4% and 93.272% for color and odor， respectively. This paper also established the reference ranges of main colorimetric parameters for wine-processed CR at different stages， and four differential components were screened out， providing a basis for standardizing the processing of wine-processed CR and establishing quality standards for this decoction pieces.

Objective: To investigate the late identification and its influencing factors of newly reported HIV/AIDS cases in Linhai City, Zhejiang Province from 2015 to 2024, so as to provide a basis for formulating targeted AIDS prevention and control strategies. Methods: Data on newly reported HIV/AIDS cases in Linhai City from 2015 to 2024, including demographic characteristics and detection modes, were collected through the HIV/AIDS Comprehensive Control System of the Chinese Disease Prevention and Control Information System. The new identification rate and late identification proportion of HIV/AIDS cases were analyzed. The average annual percent change (AAPC) was used to assess trends in both the new identification rate and late identification proportion from 2015 to 2024. Multivariable logistic regression model was used to analyze the influencing factors for late identification among HIV/AIDS cases. Results: A total of 589 newly reported HIV/AIDS cases were documented in Linhai City from 2015 to 2024. The new identification rate declined from 5.08/105 in 2015 to 3.53/105 in 2024 (AAPC=-6.161%, P<0.05). Among them, 225 cases were late identified. After excluding 4 cases with inferred late identification, the late identification proportion increased from 24.53% in 2015 to 58.97% in 2024 (AAPC=7.595%, P<0.05). Multivariable logistic regression analysis indicated that age ≥25 years (25~<50 years, OR=3.569, 95%CI: 1.567-8.130; ≥50 years, OR=8.683, 95%CI: 3.440-21.917) and passive detection (OR=1.730, 95%CI: 1.022-2.928) were associated with a higher risk of late identification. In contrast, being married or having a spouse (OR=0.565, 95%CI: 0.332-0.960) was associated with a lower risk of late identification. Conclusions The new identification rate of HIV/AIDS cases in Linhai City from 2015 to 2024 showed a downward trend, while the proportion of late identification exhibited an upward trend. Age, marital status, and detection mode were identified as influencing factors for late identification among HIV/AIDS cases.

Extracellular vesicles(EVs)are nanoscale membrane vesicles released by cells that carry bioactive molecules such as proteins and nucleic acids. They play a key role in intercellular communication. In recent years, they have shown significant potential in the diagnosis and treatment of corneal and ocular surface diseases. As diagnostic biomarkers, EVs derived from tears or other sources can reflect disease-specific characteristics, providing a basis for the early disease detection. In terms of therapy, mesenchymal stem cells(MSCs)-derived EVs deliver miRNAs to modulate inflammatory pathways, promote corneal epithelial repair, and inhibit fibrosis. Furthermore, as natural drug vehicles, EVs enable precise delivery of therapeutic agents and promote corneal wound healing. This review systematically summarizes the recent research advances in the application of EVs in the field.

Azvudine and nirmatrelvir/ritonavir (Paxlovid) are recommended for COVID-19 treatment in China, but their safety and efficacy in the elderly population are not fully known. In this multicenter, retrospective, cohort study, we identified 5131 elderly hospitalized COVID-19 patients from 32,864 COVID-19 patients admitted to nine hospitals in Henan Province, China, from December 5, 2022, to January 31, 2023. The primary outcome was all-cause death, and the secondary outcome was composite disease progression. Propensity score matching (PSM) was performed to control for confounding factors, including demographics, vaccination status, comorbidities, and laboratory tests. After 2:1 PSM, 1786 elderly patients receiving azvudine and 893 elderly patients receiving Paxlovid were included. Kaplan-Meier and Cox regression analyses revealed that compared with Paxlovid group, azvudine could significantly reduce the risk of all-cause death (log-rank P = 0.002; HR: 0.71, 95% CI: 0.573-0.883, P = 0.002), but there was no difference in composite disease progression (log-rank P = 0.52; HR: 1.05, 95% CI: 0.877-1.260, P = 0.588). Four sensitivity analyses verified the robustness of above results. Subgroup analysis suggested that a greater benefit of azvudine over Paxlovid was observed in elderly patients with primary malignant tumors (P for interaction = 0.005, HR: 0.32, 95% CI: 0.18-0.57) compared to patients without primary malignant tumors. Safety analysis revealed that azvudine treatment had a lower incidence of adverse events and higher lymphocyte levels than Paxlovid treatment. In conclusion, azvudine treatment is not inferior to Paxlovid treatment in terms of all-cause death, composite disease progression and adverse events in elderly hospitalized COVID-19 patients.

Objective:To investigate the differential impact of ultra-high-resolution photon-counting detector CT (UHR PCD-CT) and energy-integrating detector CT (EID-CT) on image quality and calcified plaque-induced luminal stenosis in coronary CT angiography (CCTA).Methods:This retrospective analysis was conducted on patients who underwent both EID-CT and UHR PCD-CT CCTA at the Geriatric Hospital of Nanjing Medical University between January 2021 and November 2024. A total of 141 patients were included in the study, within 46 patients having scans within a 12-month interval. Image quality of all coronary artery segments was subjectively evaluated. Patients with paired scans (interval≤12 months) were included for calcified plaque analysis. Subjective visualization of calcified plaques evaluated. The blooming artifact was calculated as an objective evaluation index for assessing the calcified plaques. Additionally, the degree of coronary artery lumen stenosis resulting from calcified plaques was assessed, along with the measurement of plaque volume and the Agatston score. Changes in lumen stenosis between the two scans were also evaluated. The Wilcoxon signed-rank test was used to compare the subjective scores of coronary artery image quality and calcified plaques between the two groups, and paired-sample t-tests were used to compare the blooming artifact and lumen stenosis degree. Results:The PCD-CT image quality score was significantly higher than that of EID-CT [PCD-CT : 5 (4,5), EID-CT: 4 (4,5); Z=-21.38, P<0.001]. Compared to EID-CT, PCD-CT reduced the blooming artifact (PCD-CT: 38.88%±9.09%, EID-CT: 50.11%±11.52%; t=-12.97, P<0.001), significantly improving the subjective score for visualization of calcified plaques [PCD-CT: 5 (4,5), EID-CT: 3 (2,3); Z=-9.68, P<0.001], and the measured lumen stenosis was notably lower in PCD-CT(PCD-CT:34.88%±18.20%, EID-CT:45.31%±23.42%; t=-9.93, P<0.001). Among 129 analyzed calcified plaques, luminal stenosis was reduced on PCD-CT in 110 plaques (85.3%) and increased in 19 (14.7%), including 4 plaques that had unclear boundaries with the adjacent lumen in EID-CT CCTA images, making the stenosis difficult to assess. Conclusion:Compared to EID-CT, UHR PCD-CT for CCTA significantly improves coronary artery image quality, provides clearer visualization of calcified plaques and adjacent lumen details, and it can reduce the overestimation of coronary artery caleified plaque stenosis.

Objective:To analyze the factors influencing recurrence after liver transplantation in patients with primary biliary cholangitis (PBC).Methods:Clinical data of 53 patients with PBC undergoing liver transplantation at the Department of General Surgery, Beijing Youan Hospital, Capital Medical University from August 2006 to January 2024 were retrospectively anaylyzed, including 11 males and 42 females, aged (55.1±7.9) years. Eight (15.1%) of the patients experienced recurrence within five years after liver transplantation. Univariate and multivariate logistic regression analyses were used to identify the factors influencing recurrence after transplantation. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of each variable for post-transplant recurrence.Results:Univariate logistic regression analysis showed that severe postoperative complications, positive anti-centromere antibodies, and postoperative CD4/CD45<0.4 were associated with recurrence after liver transplantation (all P<0.05). Further multivariate logistic regression analysis revealed that severe postoperative complications ( OR=23.183, 95% CI: 1.667-322.447, P=0.019), postoperative CD4/CD45<0.4 ( OR=9.272, 95% CI: 1.244-69.099, P=0.030), and positive anti-centromere antibodies ( OR=17.106, 95% CI: 1.381-211.878, P=0.027) were associated with a higher risk of recurrence after liver transplantation in patients with PBC. ROC curve analysis showed that the area under the curve for predicting recurrence after liver transplantation based on severe postoperative complications was 0.731 (95% CI: 0.539-0.922, P=0.039), with a sensitivity of 75.0% and a specificity of 71.1%. Conclusion:Severe postoperative complications, CD4/CD45 <0.4, and positive anti-centromere antibodies are risk factors for recurrence after liver transplantation in patients with PBC. Severe postoperative complications showed a good predictive efficacy for recurrence.

ObjectiveTo analyze the prevalence and influencing factors of overweight and obesity among primary school students in a community of Fengxian District, Shanghai, and to provide references for formulating prevention and control strategies against overweight and obesity. MethodsData on height and weight of all primary school students in a community in Fengxian District, Shanghai, in 2023 were obtained by physical examination, and 1 759 primary school students were included according to the entry criteria. Overweight and obesity were determined using body mass index (BMI). Additionally, a questionnaire survey was performed to 1 045 students to collect their demographic characteristics, dietary behaviors, dietary habits, sleep and physical activity information. Chi-square test and logistic regression analysis were used to analyze the influencing factors of overweight and obesity. ResultsIn 2023, among the 1 759 primary school students in the community in Fengxian District, 923 (52.47%) were male and 836 (47.53%) were female, with an overweight/obesity detection rate of 28.08%. The detection rate of overweight and obesity was 33.37% in males and 22.25% in females, which was significantly higher in males than that in females (χ²=26.845, P<0.001). Students aged 10‒12 years had a higher overweight/obesity detection rate (32.55%) than those aged 6‒<10 years (26.53%), and the difference was statistically significant (χ²=10.925, P<0.001). Logistic regression analysis revealed that being female, with young age, parental education level of bachelor’s degree and above, a high global dietary recommendation healthy (GDR-healthy) score, preference for vegetables and sweeter home-cooked meals, and a slow eating speed were negatively correlated with overweight/obesity. Whereas, parental overweight and obesity, binge eating, and a faster eating pace than same-age, same-gender peers may be positively correlated with overweight/obesity. ConclusionThe detection rate of overweight and obesity among primary school students in the community in Fengxian District of Shanghai is higher than the national level. Gender, age, parental BMI, parental education level, dietary behaviors and habits are the main influencing factors of overweight/obesity among primary school students.

Objective: To investigate the value of the Chinese visceral adiposity index (CVAI) in predicting hypertension risk, so as to provide a tool for the early assessment of hypertension risk. Methods: Health examination individuals aged ≥18 years were selected from four medical institutes in Jinhua City, Zhejiang Province in 2022. Data on basic information, lifestyle, disease history, body mass index, waist circumference, blood pressure, and blood biochemical indicators were collected through questionnaire surveys and physical examinations. CVAI was calculated to assess levels of visceral fat accumulation, divided by quartiles into Q1, Q2, Q3, and Q4 groups. The relationship between CVAI and hypertension was analyzed using a multivariable logistic regression model, and their dose-response relationship was examined using a restricted cubic spline model. The value of CVAI in predicting hypertension risk was evaluated using receiver operating characteristic (ROC) curve. Results: A total of 23 791 individuals were enrolled, with a median age of 68.00 (interquartile range, 14.00) years. Among them, 10 178 (42.78%) were males and 13 613 (57.22%) were females. The median CVAI was 111.40 (interquartile range, 48.23). Hypertension was identified in 15 563 cases, with a prevalence of 65.42%. After adjusting for lifestyle, disease history, and blood biochemical indicators, the multivariable logistic regression analysis revealed that hypertension risk in the CVAI Q2, Q3, and Q4 groups were 2.012 (95%CI: 1.865-2.170), 3.059 (95%CI: 2.826-3.311), and 5.099 (95%CI: 4.672-5.565) times that of the Q1 group, respectively. The restricted cubic spline model revealed a non-linear relationship between CVAI and hypertension risk (Pnon linearity<0.05). Hypertension risk increased more rapidly when the CVAI was ≥81.03. The area under the ROC curve for CVAI in predicting hypertension risk was 0.691, with an optimal cutoff value of 106.01, which falls within the Q2 group. Conclusions There was a nonlinear dose-response relationship between CVAI and hypertension. CVAI can predict the risk of hypertension, and 106.01 can serve as an early warning threshold for risk screening.