OBJECTIVE To investigate the mechanism by which Naozhenning granules （NZN） improve learning and memory impairment in a rat model of multiple cerebral concussion （MCC）. METHODS The MCC rat model was established using the closed controlled cortical impact method. The experiment was set up with a blank group （normal saline）， a model group （normal saline）， a piracetam group （positive control group， 0.324 g/kg）， and high-， medium-， and low-dose NZN groups （5.4， 2.7， 1.35 g/kg）， with 11 rats in each group. Drugs or normal saline were administered by gavage once daily for 28 consecutive days. General condition and body weight were monitored throughout the experiment. The sucrose preference rate and novel object recognition index were measured； Evans blue （EB） extravasation in the cerebral cortex was detected； pathological changes of cortical neurons were observed； the levels of B-cell lymphoma-2 （Bcl-2）， Bcl-2-associated X protein （Bax）， interleukin-6 （IL-6）， IL-10， and tumor necrosis factor-α （TNF-α） in the cerebral cortex were determined； and the phosphorylation levels of AMP-activated protein kinase （AMPK）， glycogen synthase kinase 3β （GSK3β）， and Tau protein were detected. RESULTS Compared with the blank group， the model group showed poor mental state， sluggish response to external stimuli， reduced food and water intake， decreased limb flexibility， and disheveled fur. Body weight， sucrose preference rate， and novel object recognition index were significantly decreased （ P ＜0.05）； EB extravasation in the cerebral cortex was significantly increased （ P ＜0.05）， with severe neuronal damage. The positive area ratio of Bax protein， IL-6 and TNF-α levels， and Tau protein phosphorylation level were all significantly increased （ P ＜0.05）， whereas the positive area ratio of Bcl-2 protein， IL-10 level， and AMPK and GSK3β protein phosphorylation levels were significantly decreased （ P ＜0.05）. Compared with the model group， all NZN dose groups showed improvements in general condition and pathological damage， with quantitative indices partially restored， and the differences in quantitative indices in high-dose NZN group were statistically significant （ P ＜0.05）. CONCLUSIONS NZN can effectively improve learning and memory impairment in MCC model rats. The mechanism may be related to activating the AMPK/GSK3β pathway， inhibiting inflammatory response， reducing Tau protein phosphorylation level， and then repairing the neuronal injury.

This study elucidated the structure-activity relationships (SAR) of three distinct opioid ligand series at the μ-opioid receptor (μ-OR) and investigated the ligand-dependent role of arrestin in downstream signaling. Radioligand binding assays across 13 compounds revealed that high-affinity μ-OR binding is not restricted to a single chemical scaffold. For fentanyl analogs, SAR analysis identified four key structural determinants: the N-phenethyl group (R1) is essential for μ-OR binding, the piperidine 4-position (R2) is sterically constrained and tolerates only small substituents such as carbomethoxy, the acyl side chain (R3) tolerates diverse chemical modifications including alkyl, alkoxy, and heteroaryl groups without substantial loss of affinity, and para-substitution on the phenethyl ring (R4) with electron-withdrawing groups like fluorine is well-tolerated. Analysis of non-fentanyl scaffolds (2-Methyl AP-237, W-15, and brorphine) demonstrated that specific side-chain functionalization, rather than core scaffold architecture, primarily determines binding potency. Comparison of classical opioids further revealed that structural flexibility, exemplified by methadone, can confer superior binding affinity compared to the rigid morphine scaffold. Consistent with this structural diversity, the contribution of arrestins to ERK activation varied substantially across compounds, suggesting that μ-OR-biased signaling is not dictated exclusively by intrinsic receptor properties but emerges from the interplay between receptor conformation and ligandspecific structural features. Collectively, our results provide a molecular framework for understanding opioid pharmacology with important implications for rational drug design aimed at minimizing adverse effects while maintaining analgesic efficacy.

ObjectiveTo construct a prediction model for high responsiveness to short-term aerobic training in patients with Parkinson's disease (PD) based on dual-task gait assessment, and to provide evidence for identifying individuals who are most likely to benefit from such interventions. MethodsA total of 42 patients with PD who visited the outpatient clinic of Tianjin Huanhu Hospital between August 29, 2023 and December 19, 2024 were enrolled. All participants completed a 4-week home-based aerobic cycling training program and underwent dual-task gait assessments pre- and post-training. Patients were classified into high-response group (n = 12) and low-response group (n = 30) according to whether the improvement in gait speed reached the minimal clinically important difference of 0.1 m/s. The clinical validity of this grouping was verified by comparing differences in cardiopulmonary exercise testing parameters and dual-task gait indicators between the two groups pre- and post-training. Based on baseline characteristics, Firth's penalized maximum likelihood logistic regression was applied to construct a predictive model for high responsiveness, and the discriminative performance of the model was assessed preliminarily. ResultsThe high-response group showed significantly greater improvement in gait speed, step length, cadence and the anaerobic threshold to maximal oxygen uptake ratio after training compared with the low-response group (P < 0.05), confirming the clinical validity of the grouping. The baseline anaerobic threshold to maximal oxygen uptake ratio (OR = 3.348), body mass index (OR = 2.229) and age (OR = 0.428) demonstrated certain discriminative ability in the present sample. The area under the receiver operating characteristic curve was 0.831, with an overall prediction accuracy of 81.0%, specificity of 83.3% and sensitivity of 75.0%. Robustness of the model was confirmed via internal validation using the Bootstrap method, which suggested that the results were informative, but further validation was still required. ConclusionThe anaerobic threshold/maximal oxygen uptake ratio, body mass index and age may predict the response to short-term aerobic training in patients with PD.

ObjectiveTo explore the ameliorative effect of the endoplasmic reticulum stress inhibitor 4-phenylbutyric acid （4-PBA） on bile acid metabolism disorders induced by bacterial lipopolysaccharide （LPS） in late-pregnant mice， and to clarify the regulatory mechanism of endoplasmic reticulum stress （ERS） in intrahepatic cholestasis of pregnancy （ICP）. MethodsTwenty-four pregnant mice were divided into control group， LPS group， 4-PBA group， and LPS+4-PBA group. On the 16th day of pregnancy， the LPS group received intraperitoneal injection of LPS （200 μg/kg） and the 4-PBA group received injection of 4-PBA （150 mg/kg）. In the LPS+4-PBA group， 4-PBA was intraperitoneally injected first， followed by LPS administration 1 h later. Serum total bile acid （TBA）， liver injury markers， bile acid profiles， and the expression of key genes and proteins were detected 6 h after LPS treatment. ResultsLPS exposure increased serum TBA levels in pregnant mice（P<0.05）， activated ERS markers and inflammatory factors， and downregulated bile acid transporters and the expression of the rate limiting enzyme CYP7A1（all P<0.05）. 4-PBA intervention effectively inhibited ERS， reduced TBA levels（P<0.05）， and upregulated Ntcp， Bsep， Mdr3， and Mrp3 gene expression（all P<0.05）. ConclusionERS plays an important role in LPS interference with the homeostasis of bile acid metabolism during pregnancy. Inhibiting ERS can improve bile stasis by regulating bile acid transporters， providing a theoretical basis for targeted therapy of ICP.

ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

To summarize the current status in the application of digital and intelligent technologies in the field of pharmacovigilance and to provide reference to the selection and development of methods for pharmacovigilance of rare diseases.

Objective:To explore the application value of radiomics models based on MRI of vertebrae and paravertebral muscles in identifying potential vertebral fragility fracture risk in osteoporosis and osteopenia.Methods:This cross-sectional study collected data from patients who underwent both dual-energy X-ray absorptiometry (DXA) and lumbar MRI at the Third Affiliated Hospital of Southern Medical University between January 2014 and December 2023,retrospectively. Based on DXA results, patients were categorized into osteoporosis group ( n=302) and osteopenia group ( n=264), with fracture and non-fracture patients matched at 1∶1 ratio by propensity score matching based on age, gender, and body mass index. The fourth lumbar vertebra was selected as the region of interest (ROI) for the vertebral body, and the bilateral psoas major, erector spinae, and multifidus muscles were selected as the ROIs for the paraspinal muscles. A total of 7 259 radiomics features were extracted from these ROIs. The dataset was divided into a training set and a test set in an 8∶2 ratio by simple random sampling (osteoporosis group 241 and 61 cases, osteopenia group 211 and 53 cases). The T-score was used to establish the clinical model. After feature normalization and dimensionality reduction, logistic regression was applied to build three radiomics models: vertebral model, paraspinal muscle model, and vertebral-paraspinal muscle model. The T-score was then combined with the radiomics model that achieved the highest area under the receiver operating characteristic curve (AUC) in the test set to construct a clinical-radiomics combined model. Model performance was evaluated using the AUC. The DeLong test was used to compare the diagnostic efficacy between models. Results:In the test set, the vertebral-paravertebral muscle model achieved the highest AUC among radiomics models and was selected for combination with the T-score. In identifying potential vertebral fragility fractures of osteoporosis group, the AUC (95% CI) of the clinical model, vertebral model, paraspinal muscle model, vertebral-paraspinal muscle model, and clinical-radiomics model were 0.523 (0.373-0.672), 0.869 (0.779-0.959), 0.608 (0.464-0.752), 0.876 (0.791-0.961), and 0.860 (0.769-0.952), respectively. For osteopenia group, the corresponding AUC(95% CI) were 0.625 (0.467-0.783), 0.696 (0.547-0.845), 0.706 (0.563-0.848), 0.816 (0.702-0.930), and 0.820 (0.710-0.930). The DeLong test showed that the vertebral model for identifying the potential vertebral fracture risk in osteoporosis group had better performance than the paraspinal muscle model ( Z=3.28, P=0.001). While for osteopenia group, there was no significant difference in diagnostic performance between the vertebral model and the paraspinal muscle model ( Z=0.09, P=0.932). The recognition efficacy of the clinical model and the vertebral-paraspinal muscle model was significantly different ( Z=3.69, 1.98; P<0.001, P=0.047), while there was no significant difference between the clinical-radiomics combined model and the vertebral-paraspinal muscle model ( Z=1.51, 0.12; P=0.131, 0.904). Conclusion:The MRI-based vertebral-paraspinal muscle radiomics model can effectively identify osteoporosis or osteopenia patients with potential fragility fracture risk. In osteopenia group, the efficacy of the MRI radiomics models based on the vertebra and paraspinal muscles in identifying potential vertebral fragility fracture risk is comparable.

Objective To explore strategies for further subdivision of DRG in gastrointestinal surgery cases,providing references to enhance the differentiation of DRG subgroups.Methods A total of 5 108 gastrointestinal surgery cases were selected from a tertiary grade A hospital and a tertiary hospital in Hubei Province,spanning from January 2019 to June 30,2023,and another secondary hospital's data from 2020 and 2021.It employs single factor analysis and multiple linear regression analysis to identify factors influencing case costs.Additionally,the opinions of nine clinicans were gathered regarding factors affecting resource consumption in gastrointestinal surgery cases.The four selected case groups were further subdivided considers the peak characteristics of disease costs.It compares subdivided groups with the DRG Payment Subgroups Scheme(Version 2.0).Results Groups GB1,GB2,GC1,and GC2 were subdivided into 7,4,7,and 6 DRG groups,respectively.The coefficient of variation of each subdivided DRG were reduced,homogeneity was increased,and inter-group differentiation was increased.The results were consistent with the DRG Payment Subgroups Scheme(Version 2.0).Conclusion Based on DRG grouping,the DRG groups can be further subdivided according to the peak characteristics presented by case costs.This subdivision strategy is helpful to provide new ideas for case grouping of Medicare payment.

ObjectiveTo investigate the clinical features and traditional Chinese medicine （TCM） syndrome distribution of treatment-naïve patients with hepatitis B virus-related primary liver cancer （HBV-PLC）， and to provide a basis for integrated traditional Chinese and Western medicine in the prevention and treatment of HBV-PLC. MethodsA retrospective analysis was performed for the clinical data of 99 treatment-naïve HBV-PLC patients who were admitted to Department of Hepatology and Infectious Diseases in The First Affiliated Hospital of Hunan University of Chinese Medicine from January 2019 to December 2024. According to whether the patient received standardized antiviral therapy （for ≥3 years）， they were divided into antiviral group and non-antiviral group， and according to the status of HBeAg， they were divided into HBeAg-positive group and HBeAg-negative group. Demographic features， laboratory test results， imaging data， and TCM syndrome data were collected， and neutrophil-to-lymphocyte ratio （NLR）， Child-Pugh score， and CNLC stage were calculated. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the chi-square test was used for comparison of categorical data between groups. ResultsThe 99 treatment-naïve HBV-PLC patients had a mean age of 57.12±11.60 years， and the patients aged 50 — 75 years accounted for the highest proportion of 72.7%， with a male/female ratio of 5.2∶1. The patients with liver cirrhosis accounted for 81.8%， and 67.7% of the patients did not receive antiviral therapy in the past. The positive rates of HBV DNA， HBeAg， and alpha-fetoprotein were 80.8%， 18.2%， and 69.7%， respectively， and the patients with Child-Pugh class A/B disease accounted for 89.9%. Compared with the non-antiviral group， the antiviral group had a significantly smaller maximum tumor diameter （t=2.310， P=0.024）， a significantly lower HBV DNA positive rate （χ²=14.006， P<0.001）， and a significantly lower number of tumor thrombi （χ²=7.347， P=0.007）. In addition， there were significant differences between the HBeAg-negative group and the HBeAg-positive group in Child-Pugh class （χ²=6.780， P=0.034） and CNLC stage （χ²=8.746， P=0.033）. Among the 99 treatment-naïve HBV-PLC patients， 41.4% had liver depression and spleen deficiency with blood stasis， 22.2% had Qi deficiency and blood stasis syndrome， and 19.2% had damp-heat accumulation with blood stasis. ConclusionTreatment-naïve HBV-PLC patients are mainly middle-aged and elderly male individuals， and most of the patients are comorbid with liver cirrhosis. Standardized antiviral therapy can significantly reduce tumor burden and improve virologic response， with better hepatic compensation in HBeAg-negative patients， and hypoproteinemia is more common in patients with Qi deficiency and blood stasis syndrome.

Objective: To investigate the prevalence of Dengue virus (DENV) infection among voluntary blood donors in Xishuangbanna Dai Autonomous Prefecture, and to evaluate the necessity of implementing nucleic acid testing (NAT) for blood donors during the rainy season (May-October). Methods: Prior to initiating donor screening, the Xishuangbanna Central Blood Center conducted in-house validation of reagent performance and participated in external quality assessment (EQA) organized by the National Center for Clinical Laboratories (NCCL). During the surveillance period (August-October 2024), a total of 2 919 donor samples were screened using a 6-sample mini-pool NAT strategy. Daily internal quality controls were recorded. Samples that tested positive in pooled screening were deconvoluted and retested in duplicate; only those reactive in both replicate wells were sent to the NCCL for confirmatory testing. At NCCL, samples underwent re-testing using five domestic NAT reagents, as well as serological assays for NS1 antigen and DENV-specific IgG/IgM. Confirmed positive samples were further characterized by serotyping, envelope (E) gene sequencing, and phylogenetic analysis using the maximum likelihood method. Results: The DENV NAT reagent demonstrated consistent detection of 40 copies/mL controls in individual donor (ID)-NAT test (mean CT: 35.61±0.40). During the 63-day quality control monitoring, DENV detection remained stable (mean CT: 22.53±0.72). The center achieved full marks in EQA assessments for 2023 and 2024. Three reactive pools were identified in initial screening, and subsequent individual testing confirmed three DENV RNA-positive donors (sample numbers: 2401, 2402, and 2403). The confirmatory test results from NCCL were: all five NAT platforms consistently detected DENV RNA in the three samples; for serological tests, 2 samples (2402, 2403) were positive for NS1 antigen, while all three samples were negative for both IgG and IgM antibodies. DENV serotyping reagents identified DENV-2 in all cases, which were further confirmed as DENV-2 Genotype Ⅱ-Cosmopolitan by E gene sequencing. Phylogenetic analysis indicated that samples 2401 and 2402 clustered with Southeast Asian strains (Thailand/MZ636802.1, Laos/PQ775621.1), while sample 2403 closely matched a previously reported local Yunnan strain (PV544686.1). Conclusion: DENV-2 infection was detected among blood donors in Xishuangbanna during the rainy season, indicating concurrent risks of imported and local transmission. We recommend implementing pooled NAT screening for blood donors in high-risk areas during dengue epidemic seasons, along with strengthened laboratory quality control, to enhance blood safety.