A strategy combining a tailored database and high-throughput activity screening that discover bioactive metabolites derived from Magnoliae Officinalis Cortex(MOC)was developed and implemented to rapidly profile and discover bioactive metabolites in vivo derived from traditional Chinese medicine(TCM).The strategy possessed four characteristics:1)The tailored database consisted of metabolites derived from big data-originated reference compound,metabolites predicted in silico,and MOC chemical profile-based pseudomolecular ions.2)When profiling MOC-derived metabolites in vivo,attentions were paid not only to prototypes of MOC compounds and metabolites directly derived from MOC compounds,as reported by most papers,but also to isomerized metabolites and the degradation products of MOC compounds as well as their derived metabolites.3)Metabolite traceability was performed,especially to distinguish isomeric prototypes-derived metabolites,prototypes of MOC compounds as well as phase Ⅰ metabolites derived from other MOC compounds.4)Molecular docking was utilized for high-throughput activity screening and molecular dynamic simulation as well as zebrafish model were used for verification.Using this strategy,134 metabolites were swiftly characterized after the oral administration of MOC to rats,and several metabolites were reported for the first time.Furthermore,17 potential active metabolites were discovered by targeting the motilin,dopamine D2,and the serotonin type 4(5-HT4)receptors,and part bioactivities were verified using molecular dynamic simulation and a zebrafish constipation model.This study extends the application of mass spectrometry(MS)to rapidly profile TCM-derived metabolites in vivo,which will help pharmacologists rapidly discover potent metabolites from a complex matrix.

Drug repurposing offers a promising alternative to traditional drug development and significantly re-duces costs and timelines by identifying new therapeutic uses for existing drugs.However,the current approaches often rely on limited data sources and simplistic hypotheses,which restrict their ability to capture the multi-faceted nature of biological systems.This study introduces adaptive multi-view learning(AMVL),a novel methodology that integrates chemical-induced transcriptional profiles(CTPs),knowledge graph(KG)embeddings,and large language model(LLM)representations,to enhance drug repurposing predictions.AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning(MVL),matrix factorization,and ensemble optimization techniques to integrate heterogeneous multi-source data.Comprehensive evaluations on benchmark datasets(Fdata-set,Cdataset,and Ydataset)and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art(SOTA)methods,achieving superior accuracy in predicting drug-disease associations across multiple metrics.Literature-based validation further confirmed the model's predictive capabilities,with seven out of the top ten predictions corroborated by post-2011 evidence.To promote transparency and reproducibility,all data and codes used in this study were open-sourced,providing resources for pro-cessing CTPs,KG,and LLM-based similarity calculations,along with the complete AMVL algorithm and benchmarking procedures.By unifying diverse data modalities,AMVL offers a robust and scalable so-lution for accelerating drug discovery,fostering advancements in translational medicine and integrating multi-omics data.We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Background: Bushen Zhuanggu Formula (BZF), derived from the classic Yougui Pills, has shown favorable clinical efficacy in treating advanced nontraumatic osteonecrosis of the femoral head (NONFH), particularly by promoting bone repair. However, its underlying mechanisms remain unclear. Objective: This study aimed to explore the mechanisms by which BZF promotes bone repair in advanced NONFH. Materials and methods: A total of 518 potential BZF targets were identified from the ETCM v2.0 database. Transcriptomic profiling of clinical cohorts revealed 485 differentially expressed genes in advanced NONFH patients compared to healthy controls. A drug target-disease gene interaction network was constructed to identify candidate BZF targets involved in NONFH pathogenesis. In vivo experiments were conducted to validate the effects of BZF in a rat model of advanced NONFH. Results: Network analysis identified key pathways associated with blood circulation obstruction, immune-inflammatory imbalance, and abnormal bone metabolism. Protein kinase C alpha (PKCA), Ras proto-oncogene (RAS), mitogen-activated protein kinase 3(ERK), ETS proto-oncogene 1 (ETS1), and receptor activator of nuclear factor-κB ligand (RANKL) formed a signaling axis implicated in NONFH pathogenesis. BZF treatment alleviated joint inflammation, preserved trabecular bone morphology, reduced bone loss, and promoted bone repair. Mechanistically, BZF significantly downregulated the expression of PKCA, RAS, ERK, ETS1, and RANKL, improved blood circulation, and inhibited osteoclast activation while promoting osteoblast activation. Conclusion: BZF may promote bone repair in advanced NONFH by enhancing blood circulation and modulating the PKC-RAS-ERK-ETS1-RANKL signaling axis, thereby reversing dysregulated bone metabolism.

Operation management is an important tool to promote the high-quality development of public hospitals in China.Since the founding of New China,based on China's economic and social development and medical and health system reform,the evolution of operation management of public hospitals in China can be divided into four stages,the system building stage(1949-1978),the liberalization and revitalization stage(1979-1996),the operation mechanism reform stage(1997-2020),and the new stage of high-quality development(2021 present).The development trend of public hospital operation management in future should deepen the public welfare-oriented public hospital operation management,explore the value-oriented medical operation management model based on high-quality development and the refined operation and management model of public hospitals,so as to promote the high-quality development of public hospitals in China.

Objective:To investigate the correlation between preoperative calcitonin levels and upper mediastinal lymph node metastasis in medullary thyroid carcinoma (MTC).Methods:A retrospective analysis was conducted on 249 MTC patients who underwent surgery at the Cancer Hospital, Chinese Academy of Medical Sciences between January 2010 and December 2021. Based on postoperative pathology, patients were categorized into the upper mediastinal lymph node metastasis group ( n=41) and the non-upper mediastinal lymph node metastasis group ( n=208). Clinicopathological features were compared, and survival outcomes were assessed using Kaplan-Meier analysis. Receiver operating characteristic (ROC) curves were employed to determine the predictive efficacy and optimal cutoff value of preoperative calcitonin for the upper mediastinal lymph node metastasis group. Logistic regression identified independent risk factors for the upper mediastinal lymph node metastasis group. Results:Compared to the non-upper mediastinal lymph node metastasis group, the upper mediastinal lymph node metastasis group demonstrated a higher proportion of male patients, elevated levels of carcinoembryonic antigen and calcitonin, increased multifocality, larger primary tumor size, higher rates of extrathyroidal extension, advanced T and N stages, and greater incidences of lymph node metastasis and extracapsular invasion (all P＜0.01). Patients with upper mediastinal lymph node metastasis exhibited significantly lower overall survival than those without upper mediastinal lymph node metastasis ( P＜0.001). ROC curve analysis revealed an area under the curve of 0.783 for preoperative calcitonin in predicting upper mediastinal lymph node metastasis, with an optimal cutoff value of 1 865 pg/ml (sensitivity 71.79%, specificity 75.53%). Multivariate logistic regression analysis identified preoperative calcitonin levels >1 865 pg/ml ( OR=5.31, 95% CI: 1.77-15.94) and >15 metastatic lymph nodes ( OR=4.90, 95% CI: 1.87-12.89) as independent risk factors for the upper mediastinal lymph node metastasis group. Conclusions:Preoperative calcitonin＞1 865 pg/ml suggests a higher likelihood of MTC with upper mediastinal lymph node metastasis. For individuals with suspected upper mediastinal lymph node metastasis on imaging, combining preoperative calcitonin levels can reduce false-positive rates.

Objective:To evaluate the effect of dexmedetomidine on Toll-like receptor 4 (TLR4)/myeloid differentiation factor 88 (MyD88)/nuclear factor κB (NF-κB) signaling pathway in the hippocampus of mice with cognitive impairment after traumatic brain injury (TBI).Methods:Sixty specific pathogen-free healthy adult wild-type C57BL/6 mice, aged 21-23 months, weighing 28-34 g, were divided into 5 groups ( n=12 each) by a random number table method: sham operation + vehicle group (SV group), sham operation + dexmedetomidine group (SD group), TBI + vehicle group (TV group), TBI + dexmedetomidine group (TD group) and TBI + TLR4 inhibitor TAK-242 group (TT group). The modified Feeney free fall epidural impact method was used to establish a mild TBI model. At 30 min before model preparation, dexmedetomidine 25 μg/kg was intraperitoneally injected in SD group and TD group, TAK-242 10 mg/kg was intraperitoneally injected in TT group, and the equal volume of normal saline was intraperitoneally injected in SV group and TV group. Neurological severity scores (NSSs) were used to evaluate the neurological function at 1, 7 and 14 days after developing the model. The novel object recognition test (recognition index) and fear conditioning test (the percentage of freezing time related to context and sound) were used to evaluate the cognitive function of mice at 16 days after developing the model. The number and morphology of hippocampal neurons (NeuN-positive cells) and activated microglia (ionized calcium-binding adaptor molecule 1[IBA1]-positive cells) were measured by immunofluorescent staining. The expression of interleukin-1beta (IL-1β), IL-6, tumor necrosis factor-alpha (TNF-α), TLR4, MyD88 and nuclear factor kappa B (NF-κB) was detected by Western blot. Results:Compared with SV group, the NSS was significantly increased, the recognition index was decreased, the percentage of freezing time related to context and sound was decreased, the number of NeuN-positive cells was decreased, the number of IBA1-positive cells was increased and the cell body area was enlarged, the total branch length and intersection points were decreased, and the expression of TLR4, MyD88, NF-κB, IL-1β, IL-6 and TNF-α was up-regulated in TV group ( P<0.05). Compared with TV group, the NSS was significantly decreased, the recognition index was increased, the percentage of freezing time related to context and sound was increased, the number of NeuN-positive cells was increased, the number of IBA1-positive cells was decreased and the cell body area was reduced, the total branch length and intersection points were increased, and the expression of TLR4, MyD88, NF-κB, IL-1β, IL-6 and TNF-α was down-regulated in TD group and TT group ( P<0.05). There was no statistically significant difference in the aforementioned parameters between TD group and TT group ( P>0.05). Conclusions:The mechanism by which dexmedetomidine mitigates TBI-induced cognitive impairment may be related to inhibition of the hippocampal TLR4/MyD88/NF-κB signaling pathway and reduction of neuroinflammatory responses in mice.

Objective:To evaluate the effect of acupuncture on postoperative delirium (POD) in diabetic patients undergoing surgery under general anesthesia.Methods:In this randomized controlled trial, 92 diabetic patients of either sex, aged 30-80 yr, with a body mass index of 18-28 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, scheduled for elective surgery under general anesthesia, were divided into 2 groups ( n=46 each) using a table of random numbers: control group (group C) and acupuncture group (group A). Group A received acupuncture at the Baihui (GV20), Shenting (GV24) and Sishencong (EX-HN1) acupoints before anesthesia. The needles were retained for 30 min, with manual stimulation applied every 10 min for 10 s each time. After 4 stimulations, routine anesthesia was carried out. Group C received routine anesthesia only. Regional cerebral oxygen saturation was recorded on admission to the operating room (T 0), after anesthesia induction (T 1), at the start of surgery (T 2), at the end of surgery (T 3), and immediately after tracheal extubation (T 4). The POD developed within 3 days after surgery was assessed. The occurrence of needle-related adverse effects such as fainting, subcutaneous bleeding, and local paresthesia was recorded. Results:Compared with group C, the incidence of POD was significantly reduced, and the regional cerebral oxygen saturation was increased at T 1, 4 in group A ( P<0.05). Conclusions:Acupuncture can decrease the development of POD in diabetic patients undergoing surgery under general anesthesia, which is related to an increase in regional cerebral oxygen saturation.

Background:Bushen Zhuanggu Formula(BZF),derived from the classic Yougui Pills,has shown favorable clinical efficacy in treating advanced nontraumatic osteonecrosis of the femoral head(NONFH),particularly by promoting bone repair.However,its underlying mechanisms remain unclear.Objective:This study aimed to explore the mechanisms by which BZF promotes bone repair in advanced NONFH.Materials and methods:A total of 518 potential BZF targets were identified from the ETCM v2.0 database.Transcriptomic profiling of clinical cohorts revealed 485 differentially expressed genes in advanced NONFH patients compared to healthy controls.A drug target-disease gene interaction network was constructed to identify candidate BZF targets involved in NONFH pathogenesis.In vivo experiments were conducted to validate the effects of BZF in a rat model of advanced NONFH.Results:Network analysis identified key pathways associated with blood circulation obstruction,immune-inflammatory imbalance,and abnormal bone metabolism.Protein kinase C alpha(PKCA),Ras proto-oncogene(RAS),mitogen-activated protein kinase 3(ERK),ETS proto-oncogene 1(ETS1),and receptor activator of nuclear factor-κB ligand(RANKL)formed a signaling axis implicated in NONFH pathogenesis.BZF treatment alleviated joint inflammation,preserved trabecular bone morphology,reduced bone loss,and promoted bone repair.Mechanistically,BZF significantly downregulated the expression of PKCA,RAS,ERK,ETS1,and RANKL,improved blood circulation,and inhibited osteoclast activation while promoting osteoblast activation.Conclusion:BZF may promote bone repair in advanced NONFH by enhancing blood circulation and modulating the PKC-RAS-ERK-ETS1-RANKL signaling axis,thereby reversing dysregulated bone metabolism.

Objective:To explore the relationships between physical activity and cognitive impairment in older adults aged ≥65 years in longevity areas in China.Methods:A total of 6 081 older adults aged ≥65 years from the Healthy Ageing and Biomarkers Cohort Study in China in 2021 were included in this study. Information about their demographic characteristics, lifestyles, and chronic disease histories were collected, the intensity of physical activity was evaluated by using Physical Activity Scale for the Elderly, and the cognitive function was evaluated by using Mini-Mental State Examination Scale (Chinese version). Multifactorial logistic regression model was used to analyze the associations between different levels and types of physical activity and cognitive impairment in older adults.Results:In the 6 081 older adults, 1 829 (30.1%) had cognitive impairment. After adjusting for confounders, older adults with T2 and T3 levels of physical activity had lower risks for cognitive impairment compared with those with T1 levels of physical activity, with ORs of 0.47 (95% CI: 0.40-0.55) and 0.22 (95% CI: 0.18-0.28). The results of different types of physical activities showed that the ORs in leisure activity T2 and T3 groups were 0.52 (95% CI: 0.44-0.63) and 0.49 (95% CI: 0.41-0.58), and the ORs in housework activity T2 and T3 groups were 0.36 (95% CI: 0.30-0.42) and 0.19 (95% CI: 0.16-0.24). There was no significant association between work-related activity and cognitive impairment. Conclusion:There is a negative association between the intensity level of physical activity and cognitive impairment, and active leisure and household activities might reduce the risk for cognitive impairment.

Total-body PET/CT, with its long axial field of view and high sensitivity detector, has shown potential for reducing the dose of radiopharmaceuticals. However, pediatric patients are significantly more sensitive to radiation and have a higher long-term cancer risk than adults, posing fundamental challenges for dose management in PET/CT examinations for these patients. In this article, the technical characteristics of total-body PET/CT and its radiation exposure status in children were systematically analyzed. The radiation exposure could be controlled by the following optimization strategies: adjusting the CT exposure parameters, optimizing the scanning mode, adding reconstruction algorithm, and reducing the injected dose of radioactive tracer. By addressing both external and internal radiation during the PET/CT scanning process, the overall radiation dose received by pediatric patients can be reduced within a certain range. In addition, this article also discusses the technical differences between “total-body” and “whole-body” concepts, and emphasizes that the future optimization of radiation dose in pediatric PET/CT should be realized by integration of personalized scanning protocols. Through reasonable management of scanning protocols and processes, low-dose and high-quality PET/CT imaging can be achieved in clinical environments, thus maximizing protection of pediatric patient health while minimizing the risks associated with ionizing radiation exposure.