ObjectiveTo analyze the research status, hotspots and development trends in the application of virtual reality (VR) technology in managing negative emotions and postoperative rehabilitation of perioperative patients over the past decade. MethodsLiteratures related to the application of VR technology in managing negative emotions and postoperative rehabilitation of perioperative patients were retrieved from Web of Science Core Collection database and CNKI, covering the period from January, 2015 to August, 2025, and CiteSpace 6.3.R1 was used for bibliometric analysis. ResultsA total of 267 English literatures and 130 Chinese literatures were included, with the annual number of publications showing an upward trend. The United States was the country with the largest number of publications in English literatures, and Erasmus University Rotterdam was the institution with the largest number of publications. High-frequency keywords included virtual reality, pain, surgery, anxiety and distraction. Research hotspots mainly focused on functional exercise, negative emotions, pain management and multimodal intervention strategies. English researches were deepening towards virtual reality exposure therapy, mechanism exploration and personalized schemes, while Chinese researches focused more on the verification of rehabilitation effects. ConclusionResearches on the application of VR technology in the management of perioperative patients are rapidly developing, with research hotspots shifting from single technology application to multimodal and personalized integrated intervention. Future research should focus on exploring its intervention mechanisms, personalized schemes and the breadth of cross-departmental applications.

ObjectiveTo observe the analgesic efficacy and safety of Qihuang acupuncture theory combined with opioid analgesics in patients with moderate to severe cancer pain due to lung cancer. MethodsPatients with moderate to severe cancer pain from lung cancer were randomly divided into Qihuang acupuncture group and control group， with 33 cases in each group. The control group was treated with long-acting opioid analgesics at maintenance doses and supplementary analgesic medications as needed. In case of breakthrough pain， short-acting opioids were used for rescue. The Qihuang acupuncture group received Qihuang acupuncture treatment in addition to the treatment used in the control group， administered once every other day， with 3 sessions constituting one treatment course. The treatment duration for both groups was 5 days. The primary outcome was the change in pain intensity， measured using the numerical rating scale （NRS） before and after treatment， and the NRS change rate was calculated. Secondary endpoints included the daily NRS change rate， the Eastern Cooperative Oncology Group （ECOG） Performance Status （PS） score， the European Organization for Research and Treatment of Cancer Quality of Life Core Questionnaire （EORTC QLQ-C30） score， and the 24-hour equivalent hydrocodone sustained-release tablet dose. Laboratory tests， including routine blood， urine， stool， liver function， and kidney function， were performed before and after treatment. Adverse events were recorded throughout the trial. ResultsAll patients completed the trial， and both groups showed a decrease in average NRS scores and PS scores after treatment， with the Qihuang acupuncture group showing lower average NRS scores and PS scores than the control group （P＜0.05 or P＜0.01）. After treatment， the NRS change rate in the Qihuang acupuncture group was （0.42±0.17）， significantly higher than that in the control group （0.14±0.27， P＜0.01）. The daily NRS change rate during treatment was also higher in the Qihuang acupuncture group compared to the control group （P＜0.01）. The Qihuang acupuncture group showed an increase in overall health status and functional scores in the EORTC QLQ-C30， and a decrease in symptom scores for fatigue， nausea and vomiting， pain， dyspnea， insomnia， appetite loss， constipation， and financial difficulties. In contrast， overall health status and constipation scores in the control group increased， while scores of fatigue， nausea and vomiting， pain， and appetite loss decreased （P＜0.05 or P＜0.01）. After treatment， the 24-hour equivalent hydrocodone sustained-release tablet dose did not show significant difference in the Qihuang acupuncture group （P＞0.05）， while the control group showed a significant increase in the 24-hour dose （P＜0.01）. No significant abnormalities were observed in laboratory tests before and after treatment in either group. During the study， the incidence of nausea and vomiting as well as constipation in the Qihuang acupuncture group was both 3.03% （1/33）， while the incidence in the control group was 27.27% （9/33） and 36.36% （12/33）， respectively， with the Qihuang acupuncture group showing significantly lower incidence （P＜0.01）. No serious adverse reactions were observed in either group. ConclusionQihuang acupuncture therapy combined with opioid analgesics is more effective than using opioids alone in relieving pain in patients with moderate to severe cancer pain due to lung cancer. It can improve the patients' physical condition and quality of life， reduce the dose of opioid analgesics， and has good safety.

Homo- or heterodimeric compounds that affect dimeric protein function through interaction between monomeric moieties and protein subunits can serve as valuable sources of potent and selective drug candidates. Here, we screened an in-house dimeric natural product collection, and panepocyclinol A (PecA) emerged as a selective and potent STAT3 inhibitor with profound anti-tumor efficacy. Through cross-linking C712/C718 residues in separate STAT3 monomers with two distinct Michael receptors, PecA inhibits STAT3 DNA binding affinity and transcription activity. Molecular dynamics simulation reveals the key conformation changes of STAT3 dimers upon the di-covalent binding with PecA that abolishes its DNA interactions. Furthermore, PecA exhibits high efficacy against anaplastic large T cell lymphoma in vitro and in vivo, especially those with constitutively activated STAT3 or STAT3^Y640F. In summary, our study describes a distinct and effective di-covalent modification for the dimeric compound PecA to disrupt STAT3 function.

Objective To introduce a modified technique of right ventricular outflow tract (RVOT) reconstruction using a handmade bicuspid pulmonary valve crafted from expanded polytetrafluoroethylene (ePTFE) and to summarize the early single-center experience. Methods Patients with complex congenital heart diseases (CHD) who underwent RVOT reconstruction with a handmade ePTFE bicuspid pulmonary valve due to pulmonary regurgitation at Guangdong Provincial People’s Hospital from April 2021 to February 2022 were selected. Postoperative artificial valve function and right heart function indicators were evaluated. Results A total of 17 patients were included, comprising 10 males and 7 females, with a mean age of (18.18±12.14) years and a mean body weight of (40.94±19.45) kg. Sixteen patients underwent reconstruction with a handmade valved conduit, with conduit sizes ranging from 18 to 24 mm. No patients required mechanical circulatory support, and no in-hospital deaths occurred. During a mean follow-up period of 12.89 months, only one patient developed valve dysfunction, and no related complications or adverse events were observed. The degree of pulmonary regurgitation was significantly improved post-RVOT reconstruction and during follow-up compared to preoperative levels (P<0.001). Postoperative right atrial diameter, right ventricular diameter, and tricuspid regurgitation area were all significantly reduced compared to preoperative values (P<0.05). Conclusion The use of a 0.1 mm ePTFE handmade bicuspid pulmonary valve for RVOT reconstruction in complex CHD is a feasible, effective, and safe technique.

Objective:To develop an intelligent recognition and precise segmentation technique using ultrasonic images，and to enhance diagnostic efficiency and accuracy.Methods:A total of 1，430 patients diagnosed with uterine fibroids through transvaginal ultrasonography at the Maternal and Child Health Hospital of Guangming from November 2020 to October 2024 were retrospectively included. Ultrasonic images were manually annotated by two experienced physicians and reviewed by a senior expert. The Mask DINO deep learning model was used for lesion segmentation，and the segmentation results were optimized using ellipse fitting technology. Model performance was evaluated using the Dice coefficient，intraclass correlation coefficient（ICC），mean absolute error（MAE），and measurement accuracy.Results:In the test set of 286 cases，the average Dice coefficient of model prediction was 0.992，indicating extremely high segmentation accuracy. The average accuracy of lesion identification by the model was 0.909，with 241 correctly identified samples，19 basically correct samples，and 26 incorrect samples. In terms of long and short axis measurements，the ICC of the model's direct predictions were 0.871（short axis）and 0.784（long axis），with MAE of 0.436 cm（short axis）and 0.508 cm（long axis）. After optimization with ellipse fitting，the ICC increased to 0.893（short axis）and 0.866（long axis），and the MAE decreased to 0.191 cm（short axis）and 0.274 cm（long axis），the measurement accuracy improved significantly.Conclusions:The intelligent recognition and precise segmentation technique for uterine fibroids based on ultrasonic images constructed in this study performed excellently in lesion segmentation and measurement，it can significantly improve the efficiency and accuracy of diagnosis.

OBJECTIVES: To investigate the effect of pachymic acid on brown/beige adipocyte differentiation and lipid metabolism in preadipocytes. METHODS: 3T3-L1 MBX cells were induced to differentiate into beige adipocytes using a brown cocktail method. The impact of pachymic acid on the viability of 3T3-L1 MBX cells was evaluated using the CCK-8 assay. The formation of lipid droplets following treatment with pachymic acid was observed by oil red O staining. The mRNA expression levels of key browning genes, including uncoupling protein (Ucp) 1, the peroxisome proliferator activated receptor-γ coactivator (Pgc)-1α, and the PR domain-containing protein 16 (Prdm16), as well as the mRNA expression of sterol regulatory element-binding protein (Srebp) 1c, acetyl-coA carboxylase (Acc), fatty acid synthase (Fas), and hormone-sensitive triglyceride lipase (Hsl), adipose triglyceride lipase (Atgl), and carnitine palmitoyltransferase (Cpt) 1 were detected by quantitative reverse transcription polymerase chain reaction. The protein expression of Ucp1, Pgc-1a, and Prdm16 was detected by Western blotting. RESULTS: The 3T3-L1 MBX cells were induced in vitro to form beige adipocytes with high expression of key browning genes(Ucp1, Pgc-1α, and Prdm16), and beige adipose-marker genes (Cd137, Tbx1, and Tmem26). Concentrations range of 0-80 μmol/L pachymic acid were non-cytotoxic to 3T3-L1 MBX cells. Pachymic acid treatment significantly inhibited the differentiation of 3T3-L1 MBX cells, resulting in a notable decrease in lipid accumulation. There was a marked increase in the expression of key browning genes and their proteins products, such as Ucp1, Pgc-1α, and Prdm16, while the expressions of fat synthesis-related genes Srebp1c, Acc and Fas were significantly decreased (all P<0.05). The expressions of lipolysis-related genes (Hsl, Atgl, and Cpt1) were significantly increased (all P<0.05). Treatment with 20 μmol/L pachymic acid showed the most pronounced effect. CONCLUSIONS Pachymic acid can inhibit fat synthesis and promote lipid decomposition by regulating the brown formation and lipid differentiation of preadipocytes.
Animals ; Lipid Metabolism/drug effects* ; Mice ; Cell Differentiation/drug effects* ; Adipocytes, Beige/drug effects* ; 3T3-L1 Cells ; Adipocytes, Brown/drug effects* ; Triterpenes/pharmacology* ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha ; Uncoupling Protein 1 ; Sterol Regulatory Element Binding Protein 1/metabolism*

OBJECTIVES: This study aims to investigate the optimal dose ratio and mechanisms of the primary active components in Yinchenhao decoction (geniposide, chlorogenic acid, and rhubarb polysaccharides) for ameliorating metabolic-associated steatotic liver disease (MASLD). METHODS: C57BL/6 mice were randomly divided into the normal control group, model control group, uniform design groups 1-6, and Yinchenhao Decoction group; except for the normal control group, mice in all other groups were fed a Western diet to establish a MASLD model, and after 8 weeks of modeling, mice in the uniform design groups 1-6 and Yinchenhao Decoction group were given the corresponding drugs by gavage. At 12 weeks, all mice were sacrificed: their body weight and liver weight were measured, hematoxylin-eosin staining was used to observe the histopathological changes of liver tissue, the plasma levels of alanine transaminase (ALT) and aspartate transaminase (AST) were detected, and the levels of total cholesterol (TC) and triglycerides (TG) in plasma and liver were measured. Based on these results, the optimal uniform design group was identified; subsequently, with plasma AST, plasma TG, and liver TC levels as screening indicators, the optimal dose ratio was obtained via a regression equation, which was further verified from two dimensions, namely functional indicators and tissue morphology. Meanwhile, glucose tolerance test and insulin tolerance test were conducted to evaluate glucose metabolic homeostasis and insulin sensitivity in mice, periodic acid-Schiff staining was used to observe glycogen accumulation, quantitative reverse transcription-polymerase chain reaction was employed to detect the mRNA expression of genes related to glycolipid metabolism and bile acid metabolism, Western blotting was performed to measure the protein expression of molecules involved in bile acid metabolism, and commercial kits were used to determine the plasma levels of total bilirubin (TBIL), direct bilirubin (DBIL), and total bile acid (TBA). RESULTS: Combinations of geniposide, chlorogenic acid, and rhubarb polysaccharide all reduced the liver-to-body weight ratio, alleviated liver injury, and decreased lipid accumulation, among which the uniform design group 6 (200 mg/kg geniposide+160 mg/kg chlorogenic acid+340 mg/kg rhubarb polysaccharide) exhibited the optimal efficacy. Meanwhile, regression analysis indicated that the dosage ratio of uniform design group 6 was the optimal one for MASLD intervention. Validation experiments showed that, compared with single-drug intervention, the optimal dosage ratio resulted in significantly lower body weight, as well as lower plasma levels of ALT, AST and TC in mice (all P<0.05), along with a more pronounced reduction in the area of hepatic lipid accumulation. Mechanistic investigation experiments demonstrated that intervention with the optimal dosage ratio significantly improved glucose tolerance and insulin sensitivity in mice (all P<0.05), reduced hepatic glycogen deposition, and downregulated the mRNA expression of glycolipid metabolism-related genes such as Gsk3, G6pc, Pck1, Fbp1, Fasn, Srebp-1c, Scd1, Slc27a2, and Slc27a5 (all P<0.05); it also decreased plasma levels of TBIL, DBIL, and TBA (all P<0.05), reversed the abnormal protein expression of bile salt export pump (BSEP), farnesoid X receptor (FXR), and cholesterol-7α-hydroxylase (CYP7A1) in the liver (all P<0.05), and reversed the abnormal mRNA expression of bile acid metabolism-related genes including Nr1h4, Cyp7a1, Cyp27a1, Slc10a1, and Slco1a1 (all P<0.05). CONCLUSIONS The combination of geniposide (200 mg/kg), chlorogenic acid (160 mg/kg), and rhubarb polysaccharide (340 mg/kg) exerts the optimal ameliorative effect on MASLD in mice. This superior efficacy is presumably achieved by synergistically regulating the key nodes of glycolipid metabolism and bile acid metabolism, ultimately optimizing the therapeutic outcome.

Objective The identification of TCM constitution plays an important role in"treating and preventing diseases"of TCM.At present,the identification of damp-heat constitution and balanced constitution is mostly determined by questionnaire,and subjective factors have a great influence.Aiming at the identification of damp-heat constitution and balanced constitution in TCM,this paper utilizes voice signal to automatically realize the constitution identification task,in order to provide assistance for the clinical identification of TCM constitution.Methods Based on deep learning Transformer and transfer learning,a pure attentional mechanism model was designed for the identification of constitution in TCM sound diagnosis.We collected 700 voices from 34 subjects,pre-processed the voice data to obtain the corresponding Mayer spectrum diagram,and used the Transformer model pre-trained based on the public data set to improve the performance of the model for audio classification.Results The accuracy of the experimental results was 83.33%,the AUC was 92.16%,the sensitivity was 80.25%,and the specificity was 87.03%.Compared with the Convolutional Neural Network(CNN),the performance of the deep learning model was better.Conclusion In this paper,the damp-heat constitution and balanced constitution identification model Transformer has achieved better identification effect,indicating that it can improve the efficiency of TCM acoustic diagnosis of constitution identification,and promote the objective and intelligent development of constitution identification.

The nervous system not only affects the core processes of tumors such as proliferation, metastasis and angiogenesis, but is also closely related to symptoms such as tumor-related pain and cachexia. Meanwhile, tumor cells can invade adjacent tissues through nerve pathways to induce perineural invasion, which promotes tumor development. This article reviews the research progress in role of the nervous system in tumor occurrence and development from perspectives of tumor perineural invasion, neurotrophic factors, autonomic and sensory nerves, and influence of the neuroimmune system in tumors, in order to provide new perspective and method for tumor treatment.

Objective:To examine frailty in residents aged over 50 in the Chengdu community, investigate the risk factors linked to frailty, and analyze the impact of exercise habits on frailty.Methods:This retrospective study utilized a stratified whole-sample method to select Chengdu residents aged over 50 from 6 communities.Relevant information was collected through face-to-face interactions using a self-developed frailty questionnaire between May 2022 and May 2023.Exercise habits were defined as engaging in physical activity more than three times a week for at least 30 minutes per session, consistently maintained for a minimum of five years prior to the survey.The frailty index(FI)was established based on the multiple-deficit cumulative model.Respondents were classified into categories of no frailty(FI<0.1), mild frailty(0.1 ≤ FI<0.2), and moderate-severe frailty(FI≥0.2).Univariate and multivariate logistic regression analyses were conducted to investigate the factors influencing frailty and to compare the prevalence and progression of frailty among individuals with and without exercise habits across different age groups.Results:A total of 999 participants, comprising 483(48.3%)males and 516(51.7%)females, were enrolled in the study.The average age of the participants was 65.70±9.61 years.Among them, 346(34.6%)were classified as having mild frailty, while 107(10.7%)had moderate-severe frailty.Univariate analysis revealed that age, gender, marital status, education, smoking, alcohol consumption, and exercise habits were potential factors influencing frailty( P<0.05).Multifactorial logistic regression models indicated that individuals aged 70-79 and 80-85 were predictors of mild and moderate-severe frailty, respectively.Being female was identified as an independent risk factor for both mild frailty( OR: 1.196; 95% CI: 1.262-3.073)and moderate-severe frailty( OR: 2.721; 95% CI: 1.282-5.774).Additionally, not engaging in regular exercise was associated with an increased risk of mild frailty( OR: 1.588; 95% CI: 1.149-2.193)and moderate-severe frailty( OR: 3.186; 95% CI: 1.819-5.583).Statistical analysis revealed significant differences in frailty distribution and frailty index changes between individuals with and without exercise habits over the age of 60( P<0.05). Conclusions:Age and gender were found to be closely associated with frailty, with the impact of exercise habits on frailty becoming more pronounced after the age of 60.Encouraging middle-aged and older individuals to adopt regular exercise routines can play a significant role in promoting healthy aging in China.