Objective: To explore the barriers to physical activity behavior among overweight and obese children and adolescents, so as to provide evidence for developing physical activity intervention programs. Methods: From March to April 2025, 13 overweight or obese children and adolescents from one primary school and one secondary school in Nanjing were selected by purposive sampling for semi structured interviews. Guided by the capability, opportunity and motivation-behavior model, data were coded, categorized and analyzed using content analysis. Results: A total of 13 interviews were completed, with a cumulative duration of 358 minutes. Three themes and eight subthemes were identified:capability factors, including physical discomfort and limited physical fitness, weak exercise skills and insufficient behavioral regulation ability, and insufficient psychological capability; opportunity factors, including insufficient family support and negative influence, pressure from school and peer environments, and limited time resources and exercise conditions; and motivation factors, including low self efficacy and situations prone to giving up, and insufficient positive feedback and lack of attractiveness of exercise forms. Conclusions Barriers to physical activity among overweight and obese children and adolescents result from the combined effects of capability, opportunity and motivation. It is necessary to lower the threshold for initiating exercise, strengthen positive experiences and feedback, and build integrate family-school support environments to promote the initiation and maintenance of physical activity behaviors in children and adolescents.

OBJECTIVE To construct a closed-loop management model for externally dispensed intravenous prescriptions， and to provide reference for standardized management of externally dispensed intravenous prescriptions. METHODS Based on the Expert Consensus on Closed-loop Management of Externally Dispensed Intravenous Prescriptions in Guangxi Zhuang Autonomous Region previously formulated by our hospital， risk points during the entire process were systematically identified through multidisciplinary team brainstorming and a fishbone diagram. A series of strategies were subsequently formulated and implemented， including qualifying designated external dispensing pharmacies and the drug catalogs， operating and maintaining the hospital information system and the Pharmacy Intravenous Admixture Service （PIVAS） intelligent management platform， and strengthening differentiated training for staff in the whole workflow. A whole-process closed-loop management system was constructed with PIVAS as the co re hub and the daytime chemotherapy center as the safety terminal. RESULTS A total of 3 cooperating pharmacies and an initial drug list comprising 35 product specifications were selected. A closed‑loop management process encompassing hospital outpatient prescribing， patient drug purchase in designated pharmacies， PIVAS drug dispensing， and medication use in daytime chemotherapy center was successfully established. This system enabled the mandatory grouping and association of externally dispensed intravenous prescriptions with in-hospital diluents， full-process verification based on drug traceability codes， intelligent monitoring of infusion parameters， and whole-process data traceability. CONCLUSIONS The constructed model effectively resolves the coordination and safety oversight during the use of externally dispensed intravenous drugs from out-of-hospital circulation to in-hospital use， and has preliminarily enabled procedural standardization， whole-process information traceability， and proactive control of medication risks.

Objective To elucidate the molecular mechanism of sirtuin-3 (SIRT3) in regulating mitochondrial biogenesis in human renal tubular epithelial cells. Methods Cells were stimulated with different concentrations of H₂O₂ and divided into four groups: control (NC), 50 μmol/L H₂O₂, 110 μmol/L H₂O₂ and 150 μmol/L H₂O₂. SIRT3 protein expression was then measured. SIRT3 was knocked down with siRNA, and cells were further assigned to five groups: control (NC), negative-control siRNA (NCsi), SIRT3-siRNA (siSIRT3), NCsi+H₂O₂, and siSIRT3+H₂O₂. After 24 h, cellular adenosine triphosphate (ATP) and mitochondrial superoxide anion (O₂•⁻) levels were determined, together with mitochondrial expression of SIRT3, peroxisome proliferator-activated receptor γ coactivator-1α (PGC-1α), nuclear respiratory factor 1 (NRF1), mitochondrial transcription factor A (TFAM), superoxide dismutase 2 (SOD2), acetylated-SOD2 and adenosine monophosphate activated protein kinase α1 (AMPKα1). Results The 110 and 150 μmol/L H₂O₂ decreased SIRT3 protein (both P<0.05). ATP and mitochondrial O₂•⁻ did not differ between NC and NCsi groups (both P>0.05). Compared to the NCsi group, the siSIRT3 group exhibited elevated O₂•⁻ level, decreased SIRT3 protein and increased expression levels of SOD2 and acetylated SOD2 protein (all P<0.05). Compared to the NCsi group, the NCsi+H₂O₂ group exhibited decreased cellular ATP levels, elevated mitochondrial O₂•⁻ levels, and reduced protein expression levels of SIRT3, SOD2, TFAM, AMPKα1, PGC-1α and NRF1 (all P<0.05). Compared with the siSIRT3 group, the siSIRT3+H₂O₂ group showed a decrease in cellular ATP levels, an increase in mitochondrial O₂•⁻ levels, a decrease in SIRT3, SOD2, TFAM, AMPKα1, PGC-1α and NRF1 protein expression levels and a decrease in acetylated SOD2 protein expression levels (all P<0.05). Compared with the NCsi+H₂O₂ group, the siSIRT3+H₂O₂ group showed a decrease in cellular ATP levels, an increase in mitochondrial O₂•⁻ levels, a decrease in SIRT3, AMPKα1, PGC-1α and NRF1, TFAM protein expression levels, and an increase in SOD2 and acetylated SOD2 protein expression levels (all P<0.05). Conclusions SIRT3 promotes mitochondrial biogenesis in tubular epithelial cells via the AMPK/PGC-1α/NRF1/TFAM axis, representing a key mechanism through which SIRT3 ameliorates oxidative stress-induced mitochondrial dysfunction.

OBJECTIVE To study the ameliorative effect and mechanism of Forsythia suspensa-Lonicera japonica herb pair on acute lung injury （ALI） based on serum exosomal microRNA （miRNA）. METHODS The rats were randomly divided into a blank group （normal saline）， model group （nomal saline）， and F. suspensa-L. japonica herb pair group （2.55 g/kg）， with 10 rats in each group. Except for the blank group， the other groups were used to establish an ALI model by intratracheal dripping of 5 mg/ mL lipopolysaccharides. After modeling， each group was given relevant medicine/normal saline intragastrically， once a day， for 3 consecutive days. After the last medication， the pathological status of lung tissue was observed； lung wet-to-dry weight ratio and leukocyte counts in bronchoalveolar lavage fluid （BALF） were determined. The levels of inflammatory factors [tumor necrosis factor-α（TNF-α）， interleukin-1β （IL-1β）， IL-10] in BALF were determined. Exosomes were isolated from rat serum， and high- throughput sequencing technology was employed to screen differentially expressed miRNA within the exosomes， followed by Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis. Based on the screened differentially expressed miRNA and the enriched KEGG pathways， in vitro cellular experiments were conducted for validation. RESULTS The animal experimental results demonstrated that after intervention with the F. suspensa-L. japonica herb pair， the wet-to-dry weight ratio， the number of leukocytes in BALF， as well as the levels of TNF-α and IL-1β in BALF of ALI rats were all significantly reduced （P＜0.01）， while the level of IL-10 was significantly increased （P＜0.01）. The results of high-throughput sequencing experiments revealed that the F. suspensa-L. japonica herb pair could significantly up-regulate the expressions of miR-345-3p， miR-194-5p， miR-653-5p， and others in exosomes. Among them， the KEGG pathways involved in the target genes of differentially expressed miRNA included the hypoxia-inducible factor-1（HIF-1） signaling pathway， among others. The results of cellular E-mail：huang.haiying@126.com validation experiments showed that overexpressed miR-345-3p could significantly elevate the level of IL-10 in the cell supernatant （P＜0.01）， while significantly reducing the levels of TNF-α and IL-1β in the cell supernatant， as well as the mRNA and protein expression levels of protein kinase B1， phosphatidylinositol 3- kinase， and HIF-1α （P＜0.01）. CONCLUSIONS F. suspensa-L. japonica herb pair can alleviate inflammatory responses and thereby exert a therapeutic effect in improving ALI by up-regulating the expression of miR-345-3p in serum exosomes and inhibiting the activity of the HIF-1 signaling pathway.

[摘 要] 目的：探讨复发/转移性鼻咽癌（NPC）接受含PD-1单抗免疫治疗的临床特征和预后影响因素。方法：回顾性分析2019年3月至2024年7月期间南部战区总医院确诊的95例NPC患者的临床资料和外周血生化及免疫学指标。预后分析采用Kaplan-Meier曲线，组间比较使用Log-rank检验，采用Cox比例风险模型进行单因素和多因素分析。结果：95例患者中男性81例，女性14例，中位年龄49.72岁（16~74岁），Ⅳ期91例（95.79%），所有患者均采用免疫治疗，联合或不联合化疗方案治疗，中位无进展生存期（mPFS）为10.5个月，客观缓解率（ORR）70.53%，疾病控制率（DCR）89.47%，接受含铂治疗方案患者PFS相对更长，且差异有统计学意义。紫杉醇 + 顺铂 + 氟尿嘧啶（TPF）对比吉西他滨 + 顺铂（GP）和紫杉醇 + 顺铂（TP）显示出更长的PFS，但差异无统计学意义。不同PD-1单抗治疗组间的PFS未显示出有统计学意义的差异。单因素及多因素Cox回归分析结果显示，肿瘤复发状态、初始血浆EBV感染状态、治疗周期数、基线外周血SII是复发/转移性NPC患者接受PD-1抑制剂治疗疗效预测的独立相关因素（均P < 0.05），并且非复发患者、初始血浆EBV DNA阳性、接受 ≥ 4治疗周期、基线外周血SII < 772.81的患者接受PD-1抑制剂治疗预后相对更好。结论：在接受PD-1抑制剂治疗的复发/转移性NPC患者中，非复发患者、初始血浆EBV DNA阳性、≥ 4治疗周期且外周血SII < 772.81者PFS相对更长，可早期识别免疫治疗效果不佳患者并精准干预。

Objective To evaluate the levels and changes in occupational individual external radiation dose in non-medical nuclear utilization units in Nanning City, and to provide a basis for radiation protection in such units. Methods Thermoluminescent dosimeters were used to monitor individual radiation doses among radiation workers in 38 non-medical nuclear utilization units in Nanning City. The results were subjected to statistical analysis. Results From 2021 to 2023, a total of 3724 person-times were monitored in 38 non-medical nuclear utilization units in Nanning City. The mean annual effective dose was 0.101 mSv in 2021, 0.060 mSv in 2022, and 0.094 mSv in 2023, with a three-year average of 0.085 mSv, all well below the occupational exposure limit of 1.0 mSv. Significant differences in mean annual effective doses were observed across occupations and sexes (P<0.05). Female workers received significantly lower mean annual effective dose than male workers. Workers in the cement manufacturing industry had a significantly higher mean annual effective dose compared to those in government institutions and industrial flaw detection practitioners (F = 2.913, P<0.05). No significant differences were found among workers exposed to unsealed radioactive sources, sealed radioactive sources, and radiation-generating equipment (F = 0.585, P>0.05). Conclusion The occupational individual external radiation doses in non-medical nuclear utilization units in Nanning City are at low levels. There are no significant differences in mean annual effective dose across different nuclear utilization units. However, differences in occupational roles between males and females significantly affect the mean annual effective dose.

Objective: To investigate the factors influencing intraoperative blood transfusion in patients with hip fractures and to develop a machine learning (ML) model for predicting this risk. Methods: A total of 424 patients with hip fractures who underwent surgical treatment between November 2022 and March 2025 in our hospital were selected. Key feature variables of intraoperative blood transfusion risk were identified using the Boruta algorithm. Four different ML algorithms—support vector machine (SVM), linear discriminant analysis (LDA), mixed discriminant analysis (MDA), and extreme gradient boosting (XGBoost)—were used to develop predictive models for intraoperative blood transfusion risk. The predictive performance of the four ML models were evaluated using accuracy, precision, receiver operating characteristic (ROC) curves, precision-recall curves (PRC), precision-recall gain curves (PRGC), and F1 scores. Shapley additive interpretation (SHAP) was used to interpret the final model. Results: Among the 424 patients, 77(18.2%) received intraoperative blood transfusion. The Boruta algorithm identified albumin (ALB), activated partial thromboplastin time (APTT), types of anesthesia, types of fracture, and hemoglobin (Hb) as key feature variables for predicting intraoperative blood transfusion risk. In model evaluation, the SVM model outperforms the other three models across multiple metrics, including the area under the receiver operating characteristic curve (AUC), recall, recall gain, accuracy, precision, F1 score, and the area under the precision-recall curve (PRC-AUC). The SVM model, interpreted and visualized based on SHAP values, effectively predicted intraoperative blood transfusion risk in patients with hip fracture. A visual online application was developed based on the SVM model (https://pbo-nomogram.shinyapps.io/blood/). Conclusion: Preoperative low ALB and Hb levels, prolonged APTT, general anesthesia, and intertrochanteric fractures are risk factors for intraoperative blood transfusion in hip fracture patients. The risk prediction model for intraoperative blood transfusion constructed based on the SVM algorithm has optimal performance, which provides new ideas and methods for the clinical early identification of hip fracture patients with high transfusion risk and the implementation of targeted interventions.

Objective: To systematically characterize the developmental trajectory and interdisciplinary integration of intelligent diagnosis in traditional Chinese medicine (TCM) through quantitative topic evolution analysis, we addressed the fragmentation of existing research and clarified the long-term research structure and evolutionary patterns of the field. Methods: A topic evolution analysis was performed on Chinese-language literature pertaining to intelligent diagnosis in TCM. Publications were retrieved from the China National Knowledge Infrastructure (CNKI), Wanfang Data, and China Science and Technology Journal Database (VIP), covering the period from database inception to July 3, 2025. A hybrid segmentation approach, based on cumulative publication growth trends and inflection point detection, was applied to divide the research timeline into distinct stages. Subsequently, the latent Dirichlet allocation (LDA) model was used to extract research topics, followed by alignment and evolutionary analysis of topics across different stages. Results: A total of 3 919 publications published between 2003 and 2025 were included, and the research trajectory was divided into five stages based on data-driven breakpoint detection. The field exhibited a clear evolutionary shift from early rule-based systems and tongue-pulse image and signal analysis (2006 – 2010), to machine-learning-based syndrome and prescription modeling (2011 – 2015), followed by deep-learning-driven pattern recognition and formula association (2016 – 2020). Since 2021, research has increasingly emphasized knowledge-graph construction, multimodal integration, and intelligent clinical decision-support systems, with recent studies (2024 – 2025) showing the emergence of large language models and agent-based diagnostic frameworks. Topic evolution analysis further revealed sustained cross-stage continuity in syndrome modeling and prescription association analysis, alongside the progressive consolidation of integrated intelligent diagnostic platforms. Conclusion By identifying key technological transitions and persistent core research themes, our findings offer a structured reference framework for the design of intelligent diagnostic systems, the construction of knowledge-driven clinical decision-support tools, and the alignment of AI models with TCM diagnostic logic. Importantly, the stage-based evolutionary insights derived from this analysis can inform future methodological choices, improve model interpretability and clinical applicability, and support the translation of intelligent TCM diagnosis from experimental research to real-world clinical practice.

Liver cancer ranks among malignancies with high global incidence and mortality rates, presenting significant therapeutic challenges. The NF-κB signaling pathway plays a pivotal role in pathogenesis, progression, and treatment of liver cancer, where its aberrant activation is intricately linked to tumor cell proliferation and the dysregulation of apoptosis. In recent years, targeting the inhibition of this pathway has become an important research direction in the treatment of liver cancer. Traditional Chinese medicine (TCM), characterized by multicomponent nature and multitarget effects, exhibits unique advantages in the management of liver cancer. In this article, the regulatory mechanisms of the NF-κB signaling pathway in liver cancer are systematically reviewed, and the research progress on how TCM exerts antitumor effects by inhibiting this pathway and inducing apoptosis in liver cancer cells is summarized. This work provides a theoretical basis and new insights for the study of single compounds and compound formulations of TCM against liver cancer.

This paper summarizes the experience of professor LIU Shangyi in differentiating and treating rectal carcinoma from the perspective of "treating ulcers as tumors". It is believed that the manifestations of rectal cancer， such as anal itching， cauliflower-like or ulcerative tumors， and bloody stools， are similar to external skin itching， skin ulceration， swelling， and skin bleeding. Therefore， the treatment principles of sores and ulcers department can be applied to treat tumors. Following the diagnostic and treatment approach of dermatology regarding the clinical typical symptoms， for anal itching， the main treatment is to dispel wind and remove dampness， clear heat to relieve itching， using "skin medicinals" such as Difuzi （Fructus Kochiae） and Baixianpi （Cortex Dictamni）， as well as wind medicinals such as Shengma （Rhizoma Cimicifugae） and Fangfeng （Radix Saposhnikoviae）. For constipation， the method of clearing heat and resolving toxins， unblocking the bowels and discharging heat can be used， commonly using Baitouweng （Radix Pulsatillae）， Donglingcao （Herba Rabdosiae Rubescentis） and Dahuang （Radix et Rhizoma Rhei）. In terms of mucosal ulcers， it is critical to differentiate between yin and yang； the treatment of yang ulcers should focus on clearing heat and resolving toxins， commonly using modified Xianfang Huoming Beverage （仙方活命饮）； for yin ulcers， emphasis should be placed on removing dampness and resolving phlegm， commonly with modified Yiyi Fuzi Baijiang Powder （薏苡附子败酱散）. For bloody stool， differentiation is made between deficiency and excess， with the use of Diyu （Radix Sanguisorbae） and Huaihua （Flos Sophorae） for excess syndrome to cool and stop blee-ding， and both herbs dry-fried until charred combined with liver-tonifying medicinals for deficiency syndrome