OBJECTIVE:Disorders in iron metabolism increase the risk of type 2 diabetes mellitus.Hepcidin play an important role in maintaining iron homeostasis in the body,but its level increases with increased inflammation.Changes in hepcidin and iron homeostasis and the extent of their association with inflammation in people with and without type 2 diabetes mellitus are unknown.Meta-analysis was used to evaluate the effect of inflammation on serum hepcidin and iron metabolism related parameters in patients with type 2 diabetes mellitus.METHODS:CNKI,PubMed,Web of Science and EBSCOhost databases were searched by computer to collect observational studies related to inflammatory index and hepcidin in patients with type 2 diabetes mellitus.The search time was from September 1,2000 to September 30,2024.Three researchers independently screened the literature,extracted data and evaluated the quality of the included literature.Meta-analysis was performed by Review Manager 5.3,Stata 17.0 and GraphPad Prism 8.0.2 software.RESULTS:A total of 15 articles(17 studies)involving 3 159 participants,including 1 357 patients with type 2 diabetes mellitus,were included.Meta-analysis results showed that compared with the control group,patients with type 2 diabetes mellitus had higher levels of serum hepcidin[standardized mean difference(SMD)=0.35,95％confidence interval(CI)(0.05,0.65),P＜0.05],serum ferritin(SMD=0.49,95％CI(0.21,0.78),P＜0.01)and serum transferrin(SMD=0.19,95％CI(0.00,0.37),P＜0.05).Subgroup analysis results indicated that inflammation had a significant effect on serum hepcidin(SMD=0.76,95％CI(0.17,1.34),P＜0.05)and serum ferritin(SMD=0.77,95％CI(0.06,1.47),P＜0.05)in patients with type 2 diabetes mellitus.CONCLUSION:Hepcidin concentration is positively correlated with type 2 diabetes mellitus.Inflammation is one of the risk factors of type 2 diabetes mellitus.Early prevention of inflammation has certain significance in preventing iron metabolism disorder in patients with type 2 diabetes mellitus.

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:Disorders in iron metabolism increase the risk of type 2 diabetes mellitus.Hepcidin play an important role in maintaining iron homeostasis in the body,but its level increases with increased inflammation.Changes in hepcidin and iron homeostasis and the extent of their association with inflammation in people with and without type 2 diabetes mellitus are unknown.Meta-analysis was used to evaluate the effect of inflammation on serum hepcidin and iron metabolism related parameters in patients with type 2 diabetes mellitus.METHODS:CNKI,PubMed,Web of Science and EBSCOhost databases were searched by computer to collect observational studies related to inflammatory index and hepcidin in patients with type 2 diabetes mellitus.The search time was from September 1,2000 to September 30,2024.Three researchers independently screened the literature,extracted data and evaluated the quality of the included literature.Meta-analysis was performed by Review Manager 5.3,Stata 17.0 and GraphPad Prism 8.0.2 software.RESULTS:A total of 15 articles(17 studies)involving 3 159 participants,including 1 357 patients with type 2 diabetes mellitus,were included.Meta-analysis results showed that compared with the control group,patients with type 2 diabetes mellitus had higher levels of serum hepcidin[standardized mean difference(SMD)=0.35,95％confidence interval(CI)(0.05,0.65),P＜0.05],serum ferritin(SMD=0.49,95％CI(0.21,0.78),P＜0.01)and serum transferrin(SMD=0.19,95％CI(0.00,0.37),P＜0.05).Subgroup analysis results indicated that inflammation had a significant effect on serum hepcidin(SMD=0.76,95％CI(0.17,1.34),P＜0.05)and serum ferritin(SMD=0.77,95％CI(0.06,1.47),P＜0.05)in patients with type 2 diabetes mellitus.CONCLUSION:Hepcidin concentration is positively correlated with type 2 diabetes mellitus.Inflammation is one of the risk factors of type 2 diabetes mellitus.Early prevention of inflammation has certain significance in preventing iron metabolism disorder in patients with type 2 diabetes mellitus.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

ObjectiveTo investigate the detection status of scoliosis and its influencing factors among primary and secondary school students in Jiangqiao Town in Jiading District of Shanghai, thereby providing evidence for the prevention and management of scoliosis in children and adolescents. MethodsA stratified cluster random sampling was conducted in March 2025. Three primary schools and two secondary schools in Jiangqiao Town were randomly selected; within each school, 3‒4 entire classes were randomly chosen. Screening was performed in accordance with the criteria specified in GB/T 16133‒2014 Screening for Abnormal Spinal Curvature in Children and Adolescents, and a self-designed structured questionnaire was administered to conduct face-to-face surveys (Cronbach’s α=0.730). ResultsA total of 772 valid questionnaires were collected on-site, representing a 100% response rate. The sample consisted of 413 males (53.50%) and 359 females (46.50%), including 385 primary school students (49.87%) and 387 secondary school students (50.13%). The detection rate of scoliosis in primary and secondary school students was 12.05%. The detection rates were 8.72% for males and 15.88% for females, with the female rate being significantly higher than the male rate (χ²=9.29, P=0.002). For primary and secondary school students, the detection rates were 6.75% and 17.31%, respectively, with the secondary school student rate being significantly higher (χ²=20.31, P<0.001). The results of univariate analysis revealed that students with sufficient sleep and standard sitting postures during reading/writing had a significantly lower scoliosis detection rate compared to those with insufficient sleep and non-standard sitting postures (χ²=5.90, P=0.015 and χ²=5.09, P=0.024). Multivariate logistic regression analyses revealed that the detection rate of scoliosis was significantly higher in females than in males (OR=1.846， 95%CI: 1.156‒2.984), and significantly higher in secondary school students than in primary school students (OR=2.722， 95%CI: 1.656‒4.472). ConclusionThe scoliosis detection rate among primary and secondary school students in Jiangqiao Town in Jiading District is relatively high. Females and secondary school students are key populations requiring targeted prevention and control efforts. It is imperative to strengthen health education on scoliosis, promote early screening and diagnosis, and implement timely targeted interventions.

Objective To analyze the effects of different gender,gestational age,birth weight and blood collection date on the value of 17-hydroxyprogesterone(17-OHP)in neonatal screening for congenital adrenal hyperplasia(CAH)and to develop a positive cut-off for CAH screening that is appropriate for the laboratory itself.Methods Time-resolved fluorescence immunoassay was used to detect 17-OHP concentration,and Mann-Whitney U test and Kruskal-Wallis H test were used to compare 17-OHP concentration of newborns with the different gender,birth weight,gestational age and blood collection age.The comparison of rates was conducted using the multi-set rate chi-square test and Fisher's exact probability method.The relationship between the clinical features and 17-OHP concentration was analyzed by multiple linear regression,and the cut-off value of 17-OHP screening was 99.5％percentile.Results The 17-OHP concentration of male neonates was higher than that of female neonates,and the difference was statistically significant(Z=-17.768,P<0.05).The 17-OHP concentration of neonates in groups with different gestational age,different birth weight,and different blood collection days were compared respectively,and the difference was statistically significant(χ2=5 235.187、3 682.665、493.414 respectively,P=0.00).Further pair comparison showed that there were statistically significant differences in 17-OHP concentration of neonates at different gestational weeks,gestational age and blood collection days(P<0.05),except that age of blood collection≥3 and<4 days and≥4 and<7 days(Z=-0.950,P=0.342).Neonatal 17-OHP concentration decreased with the gestational age and birth weight increase.There were statistically significant differences in the initial screening positive rate and screening positive rate of 17-OHP among different gestational ages and different birth weights groups(P<0.05),and they decreased with the increase of gestational age,birth weight and age at the time of blood collection.The results of multiple linear regression showed that 17-OHP concentration was related to the several factors,including the gestational age,birth weight,age of blood collection and gender in descending order.Conclusion The effects of various factors on the concentration of 17-OHP in neonatal peripheral blood should be comprehensively considered.The cut-off value of 17-OHP for CAH screening in the Screening Center for Neonatal Genetic Metabolic Diseases in the First Affiliated Hospital of Kunming Medical University is modified to≥14.00 nmol/L for full-term neonates of normal weight and≥36.00 nmol/L for premature or/and low-weight neonates so as to improve the specificity of neonatal CAH screening and reduce the false positives.

Objective To explore the relationship between serum S100 calcium-binding protein(S100)A4,S100A12 and the infection type and prognosis of neonatal infectious pneumonia(NIP).Methods A total of 300 children with NIP admitted to the Neijiang Second People's Hospital from January 2021 to March 2024 were selected and divided into the bacterial infection group(214 cases)and the non-bacterial infection group(86 cases)according to the types of pathogenic bacteria.Another 150 healthy newborns in the same hospital during the same period were selected as the control group.The levels of serum S100A4 and S100A12 were de-tected by enzyme-linked immunosorbent assay.Pearson correlation analysis was conducted to examine the cor-relations between serum S100A4,S100A12 and procalcitonin(PCT),white blood cell count(WBC),albumin(Alb),and platelet count(PLT).The receiver operating characteristic(ROC)curve was used to evaluate the differential value of serum S100A4,S100A12,PCT,WBC,Alb,and PLT alone and in combination for NIP bac-terial infection.According to the prognosis,children with NIP were divided into the poor prognosis group(63 cases)and the good prognosis group(237 cases).Multivariate Logistic regression model was used to analyze the influencing factors of poor prognosis in children with NIP,and ROC curve was used to analyze the value of each factor in predicting poor prognosis in children with NIP.Results The levels of serum S100A4,S100A12,PCT,WBC,and PLT in the bacterial infection group were higher than those in the non-bacterial infection group and the control group,while Alb was lower than that in the non-bacterial infection group and the control group,the differences were statistically significant(P<0.05).Pearson correlation analysis showed that serum S100A4 and S100A12 in children with NIP were positively correlated with PCT,WBC and PLT(P<0.05),and negatively correlated with Alb(P<0.05).The results of ROC curve analysis showed that the area under the curve(AUC)of serum S100A4 and S100A12 in differentiating NIP infection types was slightly lower than that of PCT,WBC,Alb,and PLT in differentiating NIP infection types.The results of multivariate Logistic re-gression analysis showed that elevated S100A4,elevated S100A12,elevated PCT,bacterial infection,and lung consolidation were independent risk factors for poor prognosis in children with NIP(P<0.05).The AUC of bacterial infection,lung consolidation,PCT,S100A4,and S100A12 for predicting the poor prognosis of chil-dren with NIP was 0.903.It was greater than the AUC predicted separately by bacterial infection,lung consol-idation,PCT,S100A4,and S100A12 levels(Z=9.989,9.460,5.514,4.084,4.376,P<0.001).Conclusion The combination of serum S100A4 and S100A12 with traditional markers has certain discrimina-tory value for the infection types of NIP,and the levels of serum S100A4 and S100A12 are related to the prog-nosis of NIP.

Objective:To explore the effects of miR-125b on the proliferation, invasion and migration of pancreatic cancer cells by targeting SMYD2 signaling pathway.Methods:The expression of miRNA-125b in Aspc-1 and BxPC-3 lines of pancreatic cancer cells were detected. miRDB, ENCORI and TargetScan databases were used to predict the potential target genes of miRNA-125b. The downstream target genes of miRNA-125b were identified by qPCR assay and double luciferase reporter gene assay. Western blot analysis was performed to detect SMYD2 protein expression after transfection with miRNA-125b inhibitor. EdU staining, Annexin V-FITC/PI assay and Annexin V-FITC/PI assay were used to detect the effects of miRNA-125b inhibitor transfection and simultaneous transfection of miRNA-125b and SMYD2 inhibitor on cell proliferation, clonogenesis and apoptosis.Results:The expression level of miRNA-125b in pancreatic cancer cell lines was higher than that in normal pancreatic duct cells ( P<0.05). The downstream target gene of miRNA-125b was identified as SMYD2 by qPCR assay and double luciferase reporter gene assay. The expression of SMYD2 protein in miR-125b inhibitor group was higher than that in NC group ( P<0.01). EdU cell proliferation assay showed that the number of miRNA-125b positive cells in inhibitor group was lower than that in NC group and Inhibitor NC group ( P<0.05). The number of clones in miR-125b inhibitor+si-SMYD2 group was more than that in miR-125b inhibitor group ( P<0.01). Annexin V-FITC/PI assay showed that the apoptosis number of cell cells in miR-125b inhibitor+si-SMYD2 group was lower than that in miR-125b inhibitor group ( P<0.01) . Conclusion:miRNA-125b is highly expressed in pancreatic cancer cells, and can directly affect the expression of SMYD2 gene, thereby promoting the proliferation and inhibiting the apoptosis of pancreatic cancer cells.

Objective:This multicenter retrospective study aimed to analyze the clinicopathological features of duodenal adenocarcinoma (DA) and identify prognostic factors for postoperative survival.Methods:Demographic characteristics, clinicopathological features, treatment outcomes and survival of DA patients undergoing surgical treatment at 18 Chinese medical centers from January 2012 to December 2023 were retrospectively analyzed.Results:Among the 2 056 DA patients included, 46.8% (963) had extra-ampullary DA (EA-DA), and 53.2% (1 093) had peri-ampullary DA (PA-DA). The 1-, 3-, and 5-year overall survival (OS) rates for patients who underwent radical surgery were 93.2%, 71.0%, and 57.2%, respectively. The median overall survival was 76 months, and the median progression-free survival (PFS) was 65 months. No differences in survival were observed between the laparotomy group and minimally invasive surgery (MIS) group either before or after propensity score matching (OS: 76 vs. 75 months before PSM, P=0.986; OS: 75 vs. 75 months after PSM, P=0.602). Furthermore, there were no significant differences between-group in operation time and postoperative complications ( P＞0.05). The MIS group experienced less intraoperative blood loss and shorter hospital stays. The multivariate Cox regression analysis revealed that advanced age ( HR=1.43,95% CI:1.18-1.73), elevated carbohydrate antigen 19-9 levels ( HR=1.24,95% CI:1.02-1.51), perineural invasion ( HR=1.44,95% CI:1.14-1.81), vascular invasion ( HR=1.35,95% CI:1.07-1.71), advanced T stage (T3-4 vs. T1-2: HR=1.86,95% CI:1.49-2.31), regional lymph node metastasis ( HR=1.93,95% CI:1.58-2.36), preoperative biliary drainage ( HR=1.26,95% CI:1.04-1.53), intraoperative blood loss ( HR=1.34,95% CI:1.11-1.62), clinically significant postoperative pancreatic fistulas ( HR=1.53,95% CI:1.12-2.09), and postoperative hemorrhage ( HR=1.62,95% CI:1.14-2.29) were independent risk factors for poor prognosis after surgery (all P＜0.05). Conclusions:Radical surgery is associated with favorable overall survival among DA patients, and no difference in survival is observed between EA-DA and PA-DA patients. MIS is a reliable alternative for DA treatment.