Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

ObjectiveThis paper aims to systematically collect and organize ancient and modern clauses and studies containing Xieqingwan， excavate and analyze the key information of Xieqingwan， and provide a reference for facilitating the development of the classic formula Xieqingwan. MethodsThe composition， dosage， decocting methods， usage， and other key information of Xieqingwan in ancient traditional Chinese medicine books were collected and analyzed by means of literature research and metrological methods. The modern clinical application of Xieqingwan was summarized. ResultsA total of 42 pieces of effective data involving 32 ancient traditional Chinese medicine books were collected. Xieqingwan was first recorded in Xiaoer Yaozheng Zhijue. The drug origin of this formula is basically clear in the ancient traditional Chinese medicine books. The modern drug usage and decocting method were as follows： Angelicae Sinensis Radix， Gentianae Radix et Rhizoma， Chuanxiong Rhizoma， Gardenia seeds， Radix et Rhizoma Rhei， Notopterygii Rhizoma et Radix， and Saposhnikoviae Radix were grounded to fine powder， decocted with honey， and finally formed into pills with the size of a chicken head （1.5 g）. It was suggested that half a pill or one pill were taken for one dose with warm Lophatheri decoction and sugar. The indications and clinical application had developed from the recordings in Xiaoer Yaozheng Zhijue and evolved from pediatrics to ophthalmic otolaryngology， neurology， dermatology， digestion， and respiratory diseases. The main pathogenesis of these diseases is heat in the liver meridian and is treated. The effect of Xieqingwan is "clearing away heat and toxicity， removing fire and relaxing the bowels， and dispersing swelling and relieving pain". It is recommended to use the corresponding preparation methods in the 2020 Edition of Pharmacopoeia of the People's Republic of China. Modern clinical studies are centered around the clinical application of Xieqingwan， which is often modified and used in treating Tourette syndrome， herpes， febrile convulsion， sleepwalking， and insomnia. ConclusionThis paper conducts a thorough textual research of the key information of Xieqingwan， induces its historic evolution， and confirms its key information， so as to provide a reference for the future development of Xieqingwan.

In 2025, the American Cancer Society published "Cancer statistics, 2025", which projected cancer data for the upcoming year based on incidence data collected by central cancer registries (through 2021) and mortality data obtained from the National Center for Health Statistics (through 2022). Similarly, the National Cancer Center of China released "Cancer incidence and mortality in China, 2022" in December 2024, analyzing data from 22 cancer registries across the country. This study provides a comparative analysis of cancer incidence and mortality trends in China and the United States during the same period, with a focus on sex- and age-specific distributions and long-term changes in cancer patterns. Long-term trends indicate that lung and liver cancer mortality rates in China have declined, primarily due to tobacco control measures and hepatitis B vaccination programs. However, the burden of gastric and esophageal cancers remains substantial. In the United States, mortality rates for colorectal and lung cancers have continued to decline, largely attributed to widespread screening programs and advances in immunotherapy. As economic growth and social development, China’s cancer profile is gradually shifting towards patterns observed in countries with high human development index. However, the prevention and control of upper gastrointestinal cancers remains a critical public health challenge that requires further attention.

ObjectiveTo investigate the role of 4-week high-intensity interval training (HIIT) in modulating the metabolic homeostasis of the pyruvate-lactate axis in the hippocampus of rats with chronic unpredictable mild stress (CUMS) to improve their depressive-like behavior. MethodsForty-eight SPF-grade 8-week-old male SD rats were randomly divided into 4 groups: the normal quiet group (C), the CUMS quiet group (M), the normal exercise group (HC), and the CUMS exercise group (HM). The M and HM groups received 8 weeks of CUMS modeling, while the HC and HM groups were exposed to 4 weeks of HIIT starting from the 5th week (3 min (85%-90%) S_max+1 min (50%-55%) S_max, 3-5 cycles, S_max is the maximum movement speed). A lactate analyzer was used to detect the blood lactate concentration in the quiet state of rats in the HC and HM groups at week 4 and in the 0, 2, 4, 8, 12, and 24 h after exercise, as well as in the quiet state of rats in each group at week 8. Behavioral indexes such as sucrose preference rate, number of times of uprightness and number of traversing frames in the absenteeism experiment, and other behavioral indexes were used to assess the depressive-like behavior of the rats at week 4 and week 8. The rats were anesthetized on the next day after the behavioral test in week 8, and hippocampal tissues were taken for assay. LC-MS non-targeted metabolomics, target quantification, ELISA and Western blot were used to detect the changes in metabolite content, lactate and pyruvate concentration, the content of key metabolic enzymes in the pyruvate-lactate axis, and the protein expression levels of monocarboxylate transporters (MCTs). Results4-week HIIT intervention significantly increased the sucrose preference rate, the number of uprights and the number of traversed frames in the absent field experiment in CUMS rats; non-targeted metabolomics assay found that 21 metabolites were significantly changed in group M compared to group C, and 14 and 11 differential metabolites were significantly dialed back in the HC and HM groups, respectively, after the 4-week HIIT intervention; the quantitative results of the targeting showed that, compared to group C, lactate concentration in the hippocampal tissues of M group, compared with group C, lactate concentration in hippocampal tissue was significantly reduced and pyruvate concentration was significantly increased, and 4-week HIIT intervention significantly increased the concentration of lactate and pyruvate in hippocampal tissue of HM group; the trend of changes in blood lactate concentration was consistent with the change in lactate concentration in hippocampal tissue; compared with group C, the LDHB content of group M was significantly increased, the content of PKM2 and PDH, as well as the protein expression level of MCT2 and MCT4 were significantly reduced. The 4-week HIIT intervention upregulated the PKM2 and PDH content as well as the protein expression levels of MCT2 and MCT4 in the HM group. ConclusionThe 4-week HIIT intervention upregulated blood lactate concentration and PKM2 and PDH metabolizing enzymes in hippocampal tissues of CUMS rats, and upregulated the expression of MCT2 and MCT4 transport carrier proteins to promote central lactate uptake and utilization, which regulated metabolic homeostasis of the pyruvate-lactate axis and improved depressive-like behaviors.

ObjectiveThis study aimed to investigate the effects of 4-week high-intensity interval training (HIIT) on synaptic plasticity in the prefrontal cortex (PFC) of rats exposed to chronic unpredictable mild stress (CUMS), and to explore its potential mechanisms. MethodsA total of 48 male Sprague-Dawley rats were randomly divided into 4 groups: control (C), model (M), control plus HIIT (HC), and model plus HIIT (HM). Rats in groups M and HM underwent 8 weeks of CUMS to establish depression-like behaviors, while groups HC and HM received HIIT intervention beginning from the 5th week for 4 consecutive weeks. The HIIT protocol consisted of repeated intervals of 3 min at high speed (85%-90% maximal training speed, S_max) alternated with one minute at low speed (50%-55% S_max), with 3 to 5 sets per session, conducted 5 d per week. Behavioral assessments and tail-vein blood lactate levels were measured at the end of the 4th and 8th weeks. After the intervention, rat PFC tissues were collected for Golgi staining to analyze synaptic morphology. Enzyme-linked immunosorbent assays (ELISA) were employed to detect brain-derived neurotrophic factor (BDNF), monocarboxylate transporter 1 (MCT1), lactate, and glutamate levels in the PFC, as well as serotonin (5-HT) levels in serum. Additionally, Western blot analysis was conducted to quantify the expression of synaptic plasticity-related proteins, including c-Fos, activity-regulated cytoskeleton-associated protein (Arc), and N-methyl-D-aspartate receptor 1 (NMDAR1). ResultsCompared to the control group (C), the CUMS-exposed rats (group M) exhibited significant reductions in sucrose preference rates, number of grid crossings, frequency of upright postures, and entries into and duration spent in open arms of the elevated plus maze, indicating marked depressive-like behaviors. Additionally, the group M showed significantly reduced dendritic spine density in the PFC, along with elevated levels of c-Fos, Arc, NMDAR1 protein expression, and increased concentrations of lactate and glutamate. Conversely, BDNF and MCT1 contents in the PFC and 5-HT levels in serum were significantly decreased. Following HIIT intervention, rats in the group HM displayed considerable improvement in behavioral indicators compared with the group M, accompanied by significant elevations in PFC MCT1 and lactate concentrations. Furthermore, HIIT notably normalized the expression levels of c-Fos, Arc, NMDAR1, as well as glutamate and BDNF contents in the PFC. Synaptic spine density also exhibited significant recovery. ConclusionFour weeks of HIIT intervention may alleviate depressive-like behaviors in CUMS rats by increasing lactate levels and reducing glutamate concentration in the PFC, thereby downregulating the overexpression of NMDAR, attenuating excitotoxicity, and enhancing synaptic plasticity.

Objective To explore the clinical value of artificial intelligence (AI) quantitative parameters in distinguishing pathological grades of stageⅠ invasive adenocarcinoma (IAC). Methods Clinical data of patients with clinical stageⅠ IAC admitted to Yantaishan Hospital Affiliated to Binzhou Medical University from October 2018 to May 2023 were retrospectively analyzed. Based on the 2021 WHO pathological grading criteria for lung adenocarcinoma, IAC was divided into gradeⅠ, grade Ⅱ, and grade Ⅲ. The differences in parameters among the groups were compared, and logistic regression analysis was used to evaluate the predictive efficacy of AI quantitative parameters for grade Ⅲ IAC patients. Parameters were screened using least absolute shrinkage and selection operator (LASSO) regression analysis. Three machine learning models were constructed based on these parameters to predict grade Ⅲ IAC and were internally validated to assess their efficacy. Nomograms were used for visualization. Results A total of 261 IAC patients were included, including 101 males and 160 females, with an average age of 27-88 (61.96±9.17) years. Six patients had dual primary lesions, and different lesions from the same patient were analyzed as independent samples. There were 48 patients of gradeⅠ IAC, 89 patients of grade Ⅱ IAC, and 130 patients of grade Ⅲ IAC. There were statitical differences in the AI quantitive parameters such as consolidation/tumor ratio (CTR), ect among the three goups. (P<0.05). Univariate analysis showed that the differences in all variables except age were statistically significant (P<0.05) between the group gradeⅠ+grade Ⅱand the group grade Ⅲ . Multivariate analysis suggested that CTR and CT standard deviation were independent risk factors for identifying grade Ⅲ IAC, and the two were negatively correlated. Grade Ⅲ IAC exhibited advanced TNM staging, more pathological high-risk factors, higher lymph node metastasis rate, and higher proportion of advanced structure. CTR was positively correlated with the proportion of advanced structures in all patients. This correlation was also observed in grade Ⅲ but not in gradeⅠand grade ⅡIAC. CTR and CT median value were selected by using LASSO regression. Logistic regression, random forest, and XGBoost models were constructed and validated, among which, the XGBoost model demonstrated the best predictive performance. Conclusion Cautious consideration should be given to grade Ⅲ IAC when CTR is higher than 39.48% and CT standard deviation is less than 122.75 HU. The XGBoost model based on combined CTR and CT median value has good predictive efficacy for grade Ⅲ IAC, aiding clinicians in making personalized clinical decisions.

Objective: To examine the casual association between age at first sexual intercourse and gynecologic malignant tumors using Mendelian randomization (MR) approach. Methods: The single nucleotide polymorphisms (SNPs) associated with age at first sexual intercourse were obtained from a meta-analysis of genome-wide association study (GWAS), and the SNPs related to gynecologic malignant tumors (ovarian cancer, endometrial cancer, cervical cancer), and their subtypes were sourced from the IEU OpenGWAS database. Using age at first sexual intercourse as the exposure and gynecologic malignant tumors as the outcome, a MR analysis was performed with the inverse-variance weighted (IVW) method. Heterogeneity was assessed using Cochran's Q test, horizontal pleiotropy was evaluated using MR-Egger regression and MR-PRESSO test, and bias was examined using funnel plots. Results: The Mendelian randomization analysis demonstrated that younger age at first sexual intercourse was significantly associated with an increased risk of low-grade serous ovarian carcinoma (OR=0.553, 95%CI: 0.335-0.911), cervical cancer (OR=0.674, 95%CI: 0.466-0.974), endometrial cancer (OR=0.854, 95%CI: 0.730-0.999), and endometrioid carcinoma (OR=0.830, 95%CI: 0.690-0.998). No statistical association was found between the age at first sexual intercourse and ovarian cancer, high-grade serous ovarian cancer, mucinous ovarian cancer, endometrioid ovarian cancer, or non-endometrioid ovarian cancer (all P>0.05). Sensitivity analysis showed no evidence of undetected instrumental variable heterogeneity or horizontal pleiotropy (all P>0.05), and the funnel plot indicated no presence of bias. Conclusion Younger age at first sexual intercourse may be associated with an increased risk of certain gynecologic malignant tumors, highlighting the need to strengthen adolescent sex education.

Objective:To compare the clinical efficacy and safety of bronchial artery chemoembolization (BACE) combined with anlotinib (BACE+A) versus BACE alone in patients with stage III-IV non-small cell lung cancer (NSCLC).Methods:A total of 94 patients with advanced NSCLC treated at six interventional centers between November 2020 and November 2021 were retrospectively enrolled. Patients were divided into the BACE+A group ( n=46) and the BACE alone group ( n=48) based on treatment regimen. Baseline and perioperative clinical data were collected and compared between the two groups. Treatment response was evaluated using the modified Response Evaluation Criteria in Solid Tumors (mRECIST) at 1, 6, and 12 months after the first BACE procedure. Objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), and treatment-related adverse events (AEs) were recorded. Kaplan-Meier survival curves were plotted to compare median OS and PFS between groups. Cox proportional hazards regression analysis was used to identify factors influencing OS and PFS. Results:The Kaplan-Meier analysis showed that the median OS was significantly longer in the BACE+A group (18.8 months, 95% CI 16.3-21.3) than in the BACE group (13.4 months, 95% CI 11.6-15.2) ( P=0.001). The median PFS was also significantly longer in the BACE+A group (9.0 months, 95% CI 7.3-10.7) compared to the BACE group (6.1 months, 95% CI 4.9-7.3) ( P=0.001). At 6 and 12 months post-first BACE, the ORR (43.5%, 40.0%) and DCR (89.1%, 83.3%) were significantly higher in the BACE+A group than in the BACE group (ORR: 20.8%, 14.8%; DCR: 66.7%, 59.3%) (all P<0.05). Multivariate Cox regression identified treatment with BACE+A ( HR=0.42, 95% CI 0.27-0.72, P=0.002), tumor stage ( HR=1.80, 95% CI 1.05-3.07, P=0.031), presence of pre-existing complications requiring intervention ( HR=2.72, 95% CI 1.65-4.50, P<0.001), and >2 BACE procedures ( HR=0.32, 95% CI 0.15-0.68, P=0.003) as independent factors influencing OS. Treatment with BACE+A ( HR=0.49, 95% CI 0.32-0.76, P=0.001), tumor stage ( HR=1.72, 95% CI 1.07-2.77, P=0.025), multi-arterial tumor blood supply ( HR=2.76, 95% CI 1.76-4.31, P<0.001), and>2 BACE procedures ( HR=0.40, 95% CI 0.22-0.71, P=0.002) were independent factors influencing PFS. There was no significant difference in BACE-related adverse events between the two groups (all P>0.05). Hypertension, fatigue, hand-foot syndrome, and anorexia were common anlotinib-specific adverse reactions in the combination group, but no grade 4 or higher adverse reactions were observed. Conclusions:BACE combined with anlotinib demonstrates superior efficacy compared to BACE alone in treating advanced NSCLC, significantly prolonging OS and PFS. The safety profile is manageable, with adverse events remaining within tolerable limits.

Objective To explore the potential targets and pathways of Yanghe Decoction for the treatment of granulomatous lobular mastitis(GLM)using network pharmacology and molecular docking;To experimentally validate its mechanism.Methods Active components and targets of Yanghe Decoction were screened through TCMSP and TCM-ID.GLM targets were retrieved from GeneCards and OMIM databases,the intersection of drug targets and disease targets was taken,and a protein interaction network was constructed.GO and KEGG pathway enrichment analysis was performed.Molecular docking of main components and key targets was conducted.Totally 60 SD rats were randomly divided into blank group,model group,prednisolone group(0.005 g/kg),and Yanghe Decoction low-,medium-and high-dosage groups(2.5,5.0,10.0 g/kg).Except for the blank group,GLM models were constructed for all other groups,and corresponding drug interventions were given to each treatment group for 14 consecutive days.The body mass and breast mass size of rats were recorded,breast ultrasound images were collected,and the inflammatory index score was scored.The pathological morphology of rat breast tissue was observed through HE staining.ELISA was used to detect the contents of IL-1β,IL-6 and TNF-α in serum.Western blot was used to detect the protein expressions of IL-1β,IL-6,TNF-α,IκBα,TLR4 and p65 in breast tissue.Results Yanghe Decoction was screened for 140 active components,363 targets,and 32 intersecting targets with GLM,mainly involving NF-κB,PI3K-Akt signaling pathway,etc.Molecular docking showed that the main components had good binding activities with key targets.Compared with the blank group,rats in the model group showed obvious redness and swelling of the breasts with a large range of lumps and a significant increase in mammary inflammation index score(P<0.01),and ultrasound could detect a large range of patchy hypoechoic areas,and pathological changes showed a variety of inflammatory cell infiltration in the mammary lobules and the formation of tiny abscesses,and the serum contents of IL-1β,IL-6 and TNF-α in the model group significantly increased(P<0.01),the protein expressions of IL-1β,IL-6,TNF-α,TLR4 and p65 in breast tissue significantly increased(P<0.01),and the protein expression of IκBα significantly decreased(P<0.05).Compared with the model group,the erythema of the breasts of the rats in each treatment group was improved,and the extent of the lumps was reduced,and the reduction in the size of the lumps in the prednisolone group and the Yanghe Decoction high-dosage group was obvious(P<0.05).The inflammatory index score of prednisolone group and Yanghe Decoction groups decreased to different degrees(P<0.01),ultrasound showed a smaller range of hypoechoic area,pathology showed a reduction in the infiltration of inflammatory cells,and a reduction in the formation of granulomas and abscesses,and the prednisolone group and Yanghe Decoction groups significantly down-regulated the contents of IL-1β and TNF-α in serum(P<0.01),and the prednisolone group and Yanghe Decoction middle-and high-dosage groups significantly down-regulated the content of IL-6 in serum(P<0.05,P<0.01),the expression of TLR4 protein in breast tissue was significantly decreased in Yanghe Decoction high-dosage group(P<0.05),the expressions of IL-1β,IL-6,TNF-α and p65 proteins in prednisolone group and Yanghe Decoction groups were significantly decreased(P<0.05,P<0.01),and the expression of the protein of IκBα significantly increased(P<0.01).Conclusion Yanghe Decoction can reduce the inflammatory response in GLM rats,and its mechanism may be related to the inhibition of TLR4/NF-κB signalling pathway.