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.

Acute-on-chronic liver failure (ACLF) is an acute deterioration of liver function occurring on the basis of chronic liver disease, accompanied by failure of the liver and extrahepatic organs, and is associated with a high short-term mortality rate. Liver transplantation is the only curative treatment for patients with ACLF. However, the shortage of donor livers and limitations of the organ allocation system mean that only a minority of patients can receive transplants. The current organ allocation system based on the model for end-stage liver disease (MELD) score may underestimate the urgency of liver transplantation for ACLF patients. Therefore, it is urgent to develop better assessment tools to determine which ACLF patients are most likely to benefit from liver transplantation. This article reviews the current mainstream definitions of ACLF, the selection of candidates for liver transplantation in ACLF, and the prognostic scoring systems for liver transplantation in ACLF, both domestically and internationally, in order to provide a reference for the prognostic assessment of liver transplantation in ACLF patients.

Objective: : Baculovirus inhibitory of apoptosis repeat-containing 5 (BIRC5) is critically implicated in various types of tumors. However, the specific mechanisms by which it operates in glioma are yet to be fully understood. Methods: : The data sourced from The Cancer Genome Atlas and Gene Expression Omnibus were merged and analyzed using the R software to investigate the relationship between BIRC5 expression and prognosis and diagnosis outcomes. This exploration was conducted utilizing various biological information repositories. The correlation between BIRC5 and immunity was obtained based on TIMER and TISIDB databases. Results: : Gliomas displayed a markedly elevated level of BIRC5 expression compared to adjacent tissues. Patients with glioma who exhibit elevated levels of BIRC5 experience poorer prognoses and shorter survival times. Subgroup classification further revealed that heightened expression of BIRC5 led to diminished overall survival. Analysis of logistic regression and COX indicated that expression of BIRC5 serves as a risk factor in glioma development. Functional enrichment pathways showed that the 72 hub genes related to BIRC5 were mainly closely related to nuclear division, spindle, tubulin binding, and cell cycle in glioma patients. BBIRC5 methylation suggested that BIRC5 might influence the immune response regulation and the tumor microenvironment within gliomas. BIRC5 is associated with many chemicals. Additionally, studies conducted using cell experiments and pathological sections have consistently shown that BIRC5 expression is higher in tumor cells compared to normal cells and tissues. Conclusion : BIRC5 holds promise as a valuable tool in the diagnosis, prognosis, and management of gliomas.

Objective: : Baculovirus inhibitory of apoptosis repeat-containing 5 (BIRC5) is critically implicated in various types of tumors. However, the specific mechanisms by which it operates in glioma are yet to be fully understood. Methods: : The data sourced from The Cancer Genome Atlas and Gene Expression Omnibus were merged and analyzed using the R software to investigate the relationship between BIRC5 expression and prognosis and diagnosis outcomes. This exploration was conducted utilizing various biological information repositories. The correlation between BIRC5 and immunity was obtained based on TIMER and TISIDB databases. Results: : Gliomas displayed a markedly elevated level of BIRC5 expression compared to adjacent tissues. Patients with glioma who exhibit elevated levels of BIRC5 experience poorer prognoses and shorter survival times. Subgroup classification further revealed that heightened expression of BIRC5 led to diminished overall survival. Analysis of logistic regression and COX indicated that expression of BIRC5 serves as a risk factor in glioma development. Functional enrichment pathways showed that the 72 hub genes related to BIRC5 were mainly closely related to nuclear division, spindle, tubulin binding, and cell cycle in glioma patients. BBIRC5 methylation suggested that BIRC5 might influence the immune response regulation and the tumor microenvironment within gliomas. BIRC5 is associated with many chemicals. Additionally, studies conducted using cell experiments and pathological sections have consistently shown that BIRC5 expression is higher in tumor cells compared to normal cells and tissues. Conclusion : BIRC5 holds promise as a valuable tool in the diagnosis, prognosis, and management of gliomas.

Objective: : Baculovirus inhibitory of apoptosis repeat-containing 5 (BIRC5) is critically implicated in various types of tumors. However, the specific mechanisms by which it operates in glioma are yet to be fully understood. Methods: : The data sourced from The Cancer Genome Atlas and Gene Expression Omnibus were merged and analyzed using the R software to investigate the relationship between BIRC5 expression and prognosis and diagnosis outcomes. This exploration was conducted utilizing various biological information repositories. The correlation between BIRC5 and immunity was obtained based on TIMER and TISIDB databases. Results: : Gliomas displayed a markedly elevated level of BIRC5 expression compared to adjacent tissues. Patients with glioma who exhibit elevated levels of BIRC5 experience poorer prognoses and shorter survival times. Subgroup classification further revealed that heightened expression of BIRC5 led to diminished overall survival. Analysis of logistic regression and COX indicated that expression of BIRC5 serves as a risk factor in glioma development. Functional enrichment pathways showed that the 72 hub genes related to BIRC5 were mainly closely related to nuclear division, spindle, tubulin binding, and cell cycle in glioma patients. BBIRC5 methylation suggested that BIRC5 might influence the immune response regulation and the tumor microenvironment within gliomas. BIRC5 is associated with many chemicals. Additionally, studies conducted using cell experiments and pathological sections have consistently shown that BIRC5 expression is higher in tumor cells compared to normal cells and tissues. Conclusion : BIRC5 holds promise as a valuable tool in the diagnosis, prognosis, and management of gliomas.

Objective: : Baculovirus inhibitory of apoptosis repeat-containing 5 (BIRC5) is critically implicated in various types of tumors. However, the specific mechanisms by which it operates in glioma are yet to be fully understood. Methods: : The data sourced from The Cancer Genome Atlas and Gene Expression Omnibus were merged and analyzed using the R software to investigate the relationship between BIRC5 expression and prognosis and diagnosis outcomes. This exploration was conducted utilizing various biological information repositories. The correlation between BIRC5 and immunity was obtained based on TIMER and TISIDB databases. Results: : Gliomas displayed a markedly elevated level of BIRC5 expression compared to adjacent tissues. Patients with glioma who exhibit elevated levels of BIRC5 experience poorer prognoses and shorter survival times. Subgroup classification further revealed that heightened expression of BIRC5 led to diminished overall survival. Analysis of logistic regression and COX indicated that expression of BIRC5 serves as a risk factor in glioma development. Functional enrichment pathways showed that the 72 hub genes related to BIRC5 were mainly closely related to nuclear division, spindle, tubulin binding, and cell cycle in glioma patients. BBIRC5 methylation suggested that BIRC5 might influence the immune response regulation and the tumor microenvironment within gliomas. BIRC5 is associated with many chemicals. Additionally, studies conducted using cell experiments and pathological sections have consistently shown that BIRC5 expression is higher in tumor cells compared to normal cells and tissues. Conclusion : BIRC5 holds promise as a valuable tool in the diagnosis, prognosis, and management of gliomas.

Objective: To investigate the changing trends for associations of anxiety and depressive symptoms with smartphone addiction among middle school students, so as to provide a scientific basis for preventing smartphone addiction in middle school students. Methods: From 2022 to 2023, a method of combining convenient sampling with cluster sampling was used to select 8 923 middle school students from 27 junior high schools and 3 senior high schools in a district of Shenzhen City between September 2022 (baseline, T1) and September 2023 (follow up, T2). The Smartphone Addiction Scale-Short Version (SAS-SV), Patients Health Questionnaire-9 Item (PHQ-9), and Generalized Anxiety Disorder 7-item Scale (GAD-7) were administered to assess smartphone addiction, anxiety and depressive symptoms. Mixed effects models were used to analyze the association of anxiety and depressive symptoms with smartphone addiction among middle school students. Results: From September 2022 to September 2023, the reported prevalence of smartphone addiction increased from 24.22% to 25.25% ( χ 2=45.71); and smartphone addiction scores [ 24.00 (16.00, 32.00),25.00(16.00, 33.00)], anxiety symptom scores [2.00(0.00, 7.00),3.00(0.00, 7.00)] and depressive symptom scores[3.00(0.00, 8.00),5.00(0.00, 9.00)] all significantly increased ( Z =-17.43, -42.38, -41.57) (all P <0.05). There were statistically significant difference in the distribution of anxiety and depression symptom levels among middle school students in 2022 and 2023 ( χ 2=85.15, 106.85, both P <0.05). After adjusting for covariates such as age, gender and family background, mixed effects models revealed dose response associations of anxiety and depressive symptoms with smartphone addiction among middle school students:mild anxiety symptom( OR =3.22), moderate to severe anxiety symptom ( OR =5.36), mild depressive symptom ( OR =3.32) and moderate to severe depressive symptom ( OR =6.13) were significantly associated with higher risks of smartphone addiction (all P <0.05). Interaction effect analysis found that co existing anxiety and depressive symptoms synergistically increased addiction risk by 5.60 times ( OR =5.60) compared to the asymptomatic group, with 32% of the combined risk attributable to their interaction ( S=1.64, AP =0.32)(both P < 0.05 ). Conclusions Anxiety and depressive symptoms are significantly associated with smartphone addiction, exhibiting a synergistic effect. Attention should be paid to emotional issues and smartphone addiction among middle 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.