Objective: To explore the latent profile characteristics of regulatory emotional self-efficacy and its relationship with non-suicidal self-injurious (NSSI) behavior among junior and senior high school students, so as to provide a basis for effectively reducing NSSI behaviors. Methods: From April to October 2023, a total of 1 217 junior and senior high school students were selected from Tongren City, Zunyi City and Qiannan Prefecture of Guizhou Province by stratified cluster random sampling method. The Scale of Regulatory Emotional Self-efficacy and the Adolescent Self-injury Scale were administered. Latent profile analysis (LPA) was employed to explore distinct profiles of regulatory emotional self-efficacy, and the Lanza, Tan, and Bray s method (LTB) was used to analyze the relationship between these profiles and NSSI behavior. Results: The prevalence rate of NSSI behavior among junior and senior high school students was 28.6%. Among males, regulatory emotional self-efficacy was categorized into two types: moderate positive expression-low negative management group (59.1%, n =353) and high efficacy group (40.9%, n =244); among females, regulatory emotional self-efficacy was classified into three categories: low efficacy group (18.4%, n =114), high positive expression-low negative management group (56.3%, n =349), and high efficacy group (25.3%, n =157). There were statistically significant differences in total NSSI scores across different potential categories of regulatory emotional self-efficacy within both males and females ( Z/H = -5.75 , 57.58, both P <0.01). The differences in NSSI prevalence rates across the potential categories of regulatory emotional self-efficacy were statistically significant for both males and females ( χ 2=38.00, 69.14, both P <0.01), and among females, the differences in NSSI prevalence rates between the high efficacy group and the low efficacy group ( χ 2=60.01) and between the high efficacy group and the high positive expression-low negative management group ( χ 2=31.34) were also statistically significant (both P < 0.016 7 ). Binary Logistic regression analysis revealed that, compared with the high efficacy group within each gender, the moderate positive expression-low negative management group among males ( OR =2.36), and both the low efficacy group and the high positive expression-low negative management group among females ( OR =6.19, 2.97), were at an increased risk of engaging in NSSI (all P <0.01). Conclusion Different latent profiles of regulatory emotional self efficacy among junior and senior high school students are associated with NSSI behavior.

Objective To elucidate the changes in the gut microbiota and molecular mechanism of huaier in enhancing the efficacy of oxaliplatin (OXA) chemotherapy in gastric cancer (GC). Methods The effects of huaier on the gut microbiota structure and intestinal barrier function in MKN45-bearing mice were analyzed by using 16S rRNA sequencing, RT-qPCR, and IHC. UPLC-MS and network pharmacology, as well as in vivo experimental approaches, were employed to investigate the key bioactive constituents of huaier systematically and elucidate the underlying mechanisms by which huaier exerts therapeutic effects against GC. The expression of the PI3K/AKT/SREBP pathway was detected in cancer cells and tissues via Western blot analysis. The safety profile of huaier combined with OXA was verified through serum biochemistry and HE-stained tissue section analyses. Results Huaier inhibited the PI3K/AKT/SREBP pathway by increasing the abundance of Akkermansia muciniphila, reduced lipid droplet deposition, and ultimately enhanced the sensitivity to OXA in the treatment of GC. Conclusion This study demonstrates the value of huaier in gastric cancer treatment by enhancing chemosensitivity and provides novel insights into its systemic therapeutic effects through molecular mechanisms and gut microbiota modulation.

Objective To evaluate the efficacy and safety of six kinds of commonly used traditional Chi-nese medicine combined with mesalazine in the treatment of ulcerative colitis(UC)based on frequency statis-tical network meta-analysis.Methods Randomized controlled trials(RCT)of oral Chinese medicine for the treatment of UC were searched from the establishment of the database to June 2024 of PubMed,CNKI,Wan-fang,VIP,Sinomed and other databases.The quality of the included literatures was evaluated by Cochrane bias risk assessment tool,and the data were statistically analyzed by Stata MP17.0 software.Results A total of 24 RCTs involving 1 939 patients were included,involving 6 kinds of traditional Chinese medicine and Chinese pa-tent medicine,including 4 macro and micro outcome indicators.In terms of improving the total clinical effec-tive rate,Shaoyao decoction,Gancao Xiexin decoction,Huangqin decoction granule,Baitouweng decoction,Kangfuxin liquid,Shenlingbaizhu powder+mesalazine were all superior to using mesalazine alone,and Kang-fuxin liquid+mesalazine had the best effect(P<0.05).In terms of down-regulation of interleukin(IL)-6 expression in colonic mucosa,Shaoyao decoction,Gancao Xiexin Decoction,Huangqin Decoction granules,Pul-satilla decoction,Kangfuxin Liquid+mesalazine were better than using mesalazine alone,and Pulsatilla De-coction+mesalazine had the best effect on reducing IL-6(P<0.05).In terms of down-regulation of colonic mucosal tumor necrosis factor(TNF)-α expression,Shaoyao decoction,Gancao Xiexin decoction,Huangqin decoction granule,Baitouweng decoction,Shenlingbaizhu decoction+mesalazine was better than using me-salazine alone,and Gancao Xiexin decoction+mesalazine had the best effect(P<0.05).In terms of down-regulation of IL-10 expression in colonic mucosa,Pulsatilla decoction+mesalazine was better than mesalazine alone(P<0.05).Conclusion Traditional Chinese medicine combined with mesalazine could alleviate the clin-ical symptoms of UC patients,improve inflammatory factor indicators,eliminate inflammation,and show a better treatment effect for UC than mesalazine used alone.

OBJECTIVES: To clarify the role of hippocampal glutamate system in regulating HPA axis in mediating the effect of electroacupuncture (EA) at the heart meridian for improving myocardial injury in rats with acute myocardial ischemia (AMI). METHODS: Male SD rats were randomized into sham-operated group, AMI group, EA group, and L-glutamic acid+EA group (n=9). Rat models of AMI were established by left descending coronary artery ligation, and EA was applied at the "Shenmen-Tongli" segment; the rats in L-glutamic acid+EA group were subjected to microinjection of L-glutamic acid into the bilateral hippocampus prior to AMI modeling and EA treatment. Cardiac functions of the rats were evaluated using echocardiography, and ECG and heart rate variation (HRV) were analyzed using PowerLab and LabChart. Pathological changes in the myocardial tissue was examined using HE staining, and serum levels of myocardial enzymes were detected with ELISA. Myocardial expressions of TH and GAP43 were detected with immunohistochemistry, and colocalization of VGLUT1, VGLUT2 and c-fos were observed using immunofluorescence staining; the expressions of VGLUT1, VGLUT2, NMDAR1 and NMDAR2B were detected using Western blotting. RESULTS: The rat models of AMI showed significantly decreased LVEF and LVFS and increased serum levels of myocardial enzymes in positive correlation with the HPA axis. Numerous TH- and GAP43-positive cells were observed in the hippocampus, where the expressions of NE and E, neurons colabeled with VGLUT1, VGLUT2 and c-fos, and expressions of VGLUT1, VGLUT2, NMDAR1, NMDAR2B and Glu increased significantly. All these changes were significantly improved by interventions with EA as compared with those in AMI and L-Glutamate+EA groups. CONCLUSIONS In rats with AMI, EA at the heart meridian can regulate excessive glutamate release in the hippocampus, thereby inhibiting HPA axis hyperactivity and reducing sympathetic nerve activity to protect the myocardial tissue.
Animals ; Electroacupuncture ; Male ; Rats, Sprague-Dawley ; Hippocampus/metabolism* ; Rats ; Glutamic Acid/metabolism* ; Myocardial Ischemia/physiopathology* ; Hypothalamo-Hypophyseal System/physiopathology* ; Pituitary-Adrenal System/physiopathology* ; Receptors, N-Methyl-D-Aspartate/metabolism*

Binge eating disorder(BED)is a common eating disorder whose pathogenesis involves both neurobiological and psychological mechanisms.At the neurobiological level,the development of BED is associated with abnormal resting-state brain functional connectivity in the reward circuitry,dysregulation of the endocannabinoid system,and elevated leptin levels.This paper reveals that the neurobiological mechanisms of BED may influence psychological processes,including habitual behavioral imbalances and impaired emotion regulation.Conversely,the dysfunction of behavior in the psychological domain may further modulate neurobiological manifestations.This finding provides insights for future research aimed at systematically integrating neural mechanisms into clinical interventions,ultimately facilitating treatment advancement and prognostic improvement.

Objective To evaluate the cost-effectiveness of the combination therapy of ribociclib plus fulvestrant compared to fulvestrant monotherapy as a second-line treatment for postmenopausal patients with hormone receptor-positive(HR+)/human epidermal growth factor receptor 2-negative(HER2-)advanced metastatic breast cancer from the perspective of the Chinese healthcare system.Methods A partitioned survival model was constructed based on MONALEESA-3 study data,with the model cycle of 4 weeks and the time range of 15 years.Total cost,quality-adjusted life years(QALYs)and incremental cost-effectiveness ratio(ICER)were compared between ribociclib combined with fulvestrant and fulvestrant monotherapy as a second-line treatment for postmenopausal patients with HR+/HER2-advanced metastatic breast cancer.The robustness of the models was validated through one-way sensitivity analysis and probabilistic sensitivity analysis.Results Compared with the fulvestrant monotherapy regimen,the ICER for the ribociclib combined with fulvestrant regimen was 187,958.06 yuan/QALY,which was below the willingness-to-pay(WTP)threshold of three times China's per capita gross domestic product(GDP)in 2024(287,247 yuan/QALY).The one-way sensitivity analysis revealed that the ICER was primarily influenced by the proportion of patients receiving subsequent treatments with the combination therapy or fulvestrant monotherapy,and the utility value of progression-free survival.The probabilistic sensitivity analysis showed that at a WTP threshold of three times China's per capita GDP in China in 2024(287,247 yuan/QALY),the probability of the ribociclib combination therapy being cost-effective was 100%.Conclusion In the context of the Chinese healthcare system,the combination therapy of ribociclib and fulvestrant is more cost-effective than fulvestrant monotherapy for the second-line treatment of postmenopausal patients with HR+/HER2-advanced metastatic breast cancer.

Objective:To integrate implicit templates with deep learning techniques, a novel neural network, the tooth-deformable deep implicit network (T-DDIN), was constructed to achieve high-precision shape completion of tooth defects in a personalized manner.Methods:A total of 550 intraoral scan models were collected from patients treated at the Department of Orthodontics and Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University (500 for training and 50 for testing), between March 2022 and March 2024. T-DDIN reconstructed defective tooth morphology using an implicit template and a latent encoding prediction network. During model evaluation, Class Ⅱ cavity defects and occlusal wear defects were simulated in the test set. Morphological restoration was performed using both traditional computer aided design (CAD) methods and the T-DDIN deep learning approach. The two methods were compared based on three-dimensional deviation, occlusal adjustment volumes, cusp angle deviation, and restoration time.Results:The T-DDIN group demonstrated significantly lower three-dimensional deviation for Class Ⅱ cavity defects and occlusal wear restoration [(0.14±0.05) and (0.16±0.09) mm], occlusal adjustment volumes [(0.44±0.03) and (0.49±0.03) mm 3], and difference value of the tooth cusp angles (5.69°±1.90° and 6.04°±0.53°) compared to the traditional CAD group (both P<0.001). No significant differences were observed within the T-DDIN group between the two defect types in terms of three-dimensional deviation ( P=0.098) or occlusal adjustment volume ( P=0.154) or difference value of the tooth cusp angles ( P=0.196). However, in the traditional CAD group, three-dimensional deviation, occlusal adjustment volume and difference value of the tooth cusp angles was significantly higher in occlusal wear restorations than in Class Ⅱ cavity defects restorations ( P<0.001). The T-DDIN group, which involved Class Ⅱ cavity defects and occlusal wear, demonstrated significantly less recovery time of morphology (37.2±7.7) and (39.4±6.2) s compared to the traditional CAD group ( P<0.001). Conclusions:T-DDIN demonstrated superior stability and accuracy in morphological reconstruction for various types of dental defects while significantly reducing restoration time.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

Background: Salvia miltiorrhiza Bunge, commonly known as “Danshen” in China due to the distinctive red color of its roots, is one of the most widely used traditional Chinese medicines. It is cultivated in various regions across China, and environmental differences among these regions can affect the secondary metabolites of plants, thereby influencing the quality of S. miltiorrhiza. In recent years, increasing demand for S. miltiorrhiza has exacerbated the problem of origin fraud. Therefore, ensuring the authenticity of its geographical origin is crucial for the sustainable development of the industry. Objective: The red coloration of S. miltiorrhiza is closely associated with the content of its primary active compounds, particularly tanshinones. Therefore, both its internal chemical composition and external color characteristics serve as key indicators for quality assessment. This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S. miltiorrhiza. Methods: Spectral data reflecting the internal chemical properties of S. miltiorrhiza were integrated with color information representing its external features through 3 levels of data fusion. These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification. Results: The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72% by integrating image color and short-wave infrared spectral data. Conclusion: This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S. miltiorrhiza.

ObjectiveTo investigate the efficacy and safety of Kaixuan Jiedu compatibility and the decomposed prescriptions in the treatment of psoriasis. MethodsThirty Balb/c mice were randomly grouped as follows （n=6）： normal， model， Kaixuan Jiedu （KXJD， 15.21 g·kg^-1）， Kaixuan （KX， 3.08 g·kg^-1）， and Jiedu （JD， 12.13 g·kg^-1）. Except the normal group， the rest groups were modeled for psoriasis-like skin lesions by topical application of imiquimod， and samples were collected after 7 days of continuous intervention. Mice were photographed at the lesion site during modeling and before sampling and the psoriasis area and severity index （PASI） was calculated. Hematoxylin-eosin （HE） staining was used to observe pathological changes in the lesions and measure the epidermal thickness. Mice were photographed and observed for the tortuous dilation of dermal capillaries. The expression of vascular endothelial growth factor （VEGF）， platelet-endothelial cell adhesion molecule （CD31）， proliferating cell nuclear antigen （Ki67）， and cytokeratin 10 （CK10） in the epidermal tissue was detected by immunohistochemistry. Immunofluorescence assay was employed to determine the expression of Claudin-1 and Occludin. Real-time PCR was employed to determine the mRNA levels of interleukin-17A （IL-17A） and interleukin-23 （IL-23）. The spleen and thymus were photographed and weighed， and the spleen and thymus indices were calculated. The safety of the treatment was assessed by automatic biochemistry testing of the serum， liver， and kidney functions and by HE staining of the liver， kidney and spleen. ResultsCompared with that of the normal group， the skin of the model group showed erythema， infiltration， and typical psoriasis-like changes， tortuous dilation of dermal capillaries， hyperkeratosis in epidermal cells， acanthosis， massive lymphocytic infiltration in the dermis， impaired barrier function， increased expression of VEGF， CD31， Ki67， and CK10 （P<0.01）， reduced expression of Claudin-1 and Occludin （P<0.01） in the epidermis， and up-regulated mRNA levels of IL-17A and IL-23 （P<0.01）. In addition， the mice in the model group showed spleen enlargement， thymus atrophy， increased spleen index， and decreased thymus index （P<0.01）. Compared with the model group， KXJD and JD reduced psoriasis-like skin lesions， inhibited the tortuous dilation of dermal capillaries， reduced the expression of VEGF， CD31， Ki67， and CK10 （P<0.01）， increased the expression of claudin-1 （P<0.01）， and down-regulated the mRNA levels of inflammatory factors （P<0.01）. Moreover， the KXJD group outperformed the JD group. The JD group showed no significant difference from the model group regarding the spleen index， thymus index， and Occludin expression. The psoriasis indicators in the KX group were not significantly different from those in the model group. ConclusionKXJD and JD can reduce the symptoms of local skin lesions of psoriasis， which is manifested as different inhibition degrees of the proliferation and differentiation of keratin-forming cells， tortuous dilation of dermal capillaries， and inflammatory reactions， as well as the protection of the skin barrier. Moreover， KXJD outperformed JD. KX alone did not significantly reduce psoriasis lesions in mice. KXJD and the decomposed prescriptions are safe and effective， causing no obvious liver and kidney injuries.