The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

ObjectiveTo investigate the epidemiological characteristics and influencing factors of depressive symptoms among middle school (junior, senior, and vocational high school) students in Yunnan Province, China, and to inform evidence-based intervention strategies for adolescent mental health. MethodsA cross-sectional survey was conducted between October and November 2023 using stratified random cluster sampling. Students from eight counties (districts) across four prefectures (cities) in Yunnan Province were included. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). Multivariate logistic regression analysis was performed to examine factors associated with depressive symptoms, with stratified analyses conducted by gender, educational stage, and ethnicity. ResultsA total of 4 672 questionnaires were distributed, with 4 670 valid questionnaires retrieved, yielding a valid response rate of 99.96%. The surveyed participants were predominantly female students (50.81%), junior high school students (49.13%), ethnic minorities (52.78%), and urban residents (79.29%). The mean CES-D score for middle school students in Yunnan Province was (15.31±10.83). Female students had a significantly higher mean score (16.63±11.41) than male students (13.95±10.02) (P<0.001). Senior high school students had a significantly higher mean score (16.61±10.61) compared to both junior high school students (14.74±11.45) and vocational high school students (13.10±7.71) (all pairwise comparisons P<0.001). The prevalence of depressive symptoms among middle school students in Yunnan Province was 28.18%. The prevalence was significantly higher in females (34.09%) than in males (22.07%). By school type, the detection rate was highest among senior high school students (33.39%), followed by junior high school students (26.29%) and vocational high school students (17.27%) (P<0.05). Multivariate logistic regression analysis showed that female gender (OR=2.16, 95%CI: 1.86‒2.50), being in junior high school (OR=2.43, 95%CI: 1.84‒3.20) or senior high school (OR=2.27, 95%CI: 1.73‒2.98), not living with parents (OR=1.24, 95%CI: 1.07‒1.44), irregular breakfast consumption (OR=1.52, 95%CI: 1.33‒1.75), lack of moderate-to-vigorous physical activity (MVPA) (OR=1.69, 95%CI: 1.37‒2.09), sleep duration ≤5 h per night (OR=2.52, 95%CI: 2.02‒3.14) or 6‒7 h per night (OR=1.47, 95%CI: 1.25‒1.73), smoking (OR=1.86, 95%CI: 1.56‒2.23), and alcohol consumption (OR=1.81, 95%CI: 1.54‒2.13) were positively associated with depressive symptoms. In contrast, screen time ≤1 h (OR=0.71, 95%CI: 0.59‒0.86) was negatively associated with depressive symptoms. Stratified analyses showed that female students not living with parents (OR=1.29, 95%CI: 1.06‒1.58), senior high school students (OR=1.51, 95%CI: 1.21‒1.88), and Han Chinese students (OR=1.37, 95%CI: 1.11‒1.69) were more likely to experience depressive symptoms. Han Chinese students who smoked were also more likely to have depressive symptoms (OR=1.72, 95%CI: 1.34‒2.21). In contrast, male students with screen time ≤1 h (OR=0.71, 95%CI: 0.53‒0.95) and ethnic minority students (OR=0.74, 95%CI: 0.58‒0.95) were less likely to experience depressive symptoms. Regardless of gender, irregular breakfast consumption, lack of MVPA, sleep duration less than 8 h per night, smoking, and alcohol consumption were all positively associated with depressive symptoms (P<0.05). Among both junior and senior high school students, irregular breakfast consumption, lack of MVPA, smoking, and alcohol consumption were positively associated with depressive symptoms (all P<0.05), while screen time ≤1 h was negatively associated with depressive symptoms (all P<0.05). For junior high school students, engaging in 1‒2 days of MVPA per week, screen time more than 2 h per day, and sleep duration 6‒7 h per night were all positively associated with depressive symptoms (all P<0.05). Among junior high, senior high, and vocational high school students, sleep duration ≤5 h per night was positively associated with depressive symptoms (P<0.05). For both Han Chinese and ethnic minority students, irregular breakfast consumption, lack of MVPA, sleep duration less than 8 h per night, and alcohol consumption were all positively associated with depressive symptoms (all P<0.05). ConclusionThe prevalence of depressive symptoms among middle school students in Yunnan Province is comparable to that in central China and higher than that in northern regions. Prevention and control efforts should prioritize female students and those in junior and senior high school stages. Universal improvements in lifestyle behaviors among middle school students, such as regular breakfast consumption, MVPA, sufficient sleep (≥8 h), and abstinence from smoking and alcohol. Particular attention should be given to limiting excessive screen time among junior high school students and addressing the mental health needs of females not living with their parents, senior high school students, and Han Chinese students.

After 50 years of clinical development， endoscopic retrograde cholangiopancreatography （ERCP） has become the preferred method for the clinical diagnosis and treatment of cholangio-pancreatic duct diseases； however， the major postoperative complications of ERCP， such as pancreatitis， hemorrhage， and perforation， are still a difficult issue faced by clinicians， and postoperative perforation is associated with an extremely high risk of death. Therefore， it is very important to explore the risk factors for perforation after ERCP， make a definite diagnosis of perforation in a timely manner， and formulate precise prevention and treatment measures. By reviewing a large number of articles， this article summarizes the influencing factors for perforation after ERCP and related diagnosis and treatment measures.

Asthma, a chronic inflammatory airway disease with a high global prevalence, has a complex pathogenesis, in which airway remodeling plays a key role in the chronicity of the disease. Airway remodeling involves a series of pathophysiological changes, including airway epithelial damage, proliferation of mucous glands and goblet cells, subepithelial fibrosis, proliferation and migration of airway smooth muscle cells, and epithelial-mesenchymal transition. These complex pathological changes significantly increase airway resistance and responsiveness, forming an important pathological basis for refractory asthma. Currently, the regulatory mechanisms of airway remodeling focus on signaling pathways and regulatory targets. The signaling pathways include phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt), nuclear factor-κB(NF-κB), transforming growth factor-β1(TGF-β1)/Smads, and mitogen-activated protein kinase(MAPK). The regulatory targets include microRNAs(miRNAs), competing endogenous RNAs(ceRNAs), long non-coding RNAs(lncRNAs), and circular RNAs(circRNAs). Key proteins involved in these processes include TGF-β1, silencing information regulator 2-related enzyme 1(SIRT1), chitinase 3-like protein 1(YKL-40), and adenosine deaminase-metalloproteinase 33(ADAM33). In recent years, the potential of traditional Chinese medicine in the treatment of asthma has become increasingly evident. Its active ingredients, extracts, and complexes can inhibit airway remodeling in asthma through multiple pathways, demonstrating a variety of effects, including anti-inflammatory actions, inhibition of smooth muscle cell proliferation and migration, regulation of epithelial-mesenchymal transition, attenuation of fibrosis and basement membrane thickening, reduction of mucus secretion, inhibition of vascular remodeling, modulation of immune imbalance, and antioxidative stress. This paper aims to provide an in-depth analysis of the pathogenesis and therapeutic targets of asthma, offering theoretical support and innovative strategies for clinical research and drug development in the treatment of asthma.
Asthma/pathology* ; Humans ; Airway Remodeling/drug effects* ; Drugs, Chinese Herbal/therapeutic use* ; Animals ; Signal Transduction/drug effects* ; Medicine, Chinese Traditional ; Transforming Growth Factor beta1/metabolism*

Small nucleolar RNAs (snoRNAs) are non-coding RNAs in the nucleolus and are mainly responsible for the 2'-O-methylation and pseudouridine modification of rRNA. snoRNAs regulate various biological processes, such as tRNA modification, spliceosome snRNA modification, maintenance of the telomere structure, and alternative splicing of mRNA. Aberrant expression of snoRNA is related to cancer progression, and it may become a new target for cancer treatment. snoRNAs are stable and easy to detect in body fluids, so they can be used as a biomarker for clinical diagnosis and prognostic. This article reviews the biogenesis, classification, structure, and function of snoRNAs and introduces their potential role in the occurrence and development of hepatocellular carcinoma.

OBJECTIVE To investigate the intervention effect of kushenol F （KSC-F） on ulcerative colitis （UC） mice. METHODS Totally 30 male C57BL/6J mice were randomly divided into the normal group， model group， positive drug group （sulfasalazine， 703 mg/kg）， KSC-F 50 mg/kg group （KSC-F50 group）， and KSC-F 100 mg/kg group （KSC-F100 group）， with 6 mice in each group. Except for the normal group， the mice in the remaining groups were given 3% dextran sulfate sodium solution continuously for 7 days to induce UC model. Concurrently， administration groups received corresponding drug solution intragastrically， once a day， for 10 consecutive days. During the experiment， the changes in body weight and bowel movements of the mice were observed. Disease activity index scoring was performed after the last administration. The histopathological morphology of colonic tissue was examined. The levels of inflammatory factors in the serum and colon tissue were measured. Additionally， the mRNA expression of inflammatory factors， and the protein expressions of inflammation-related proteins [interleukin-1β （IL-1β）， forkhead box O1（FOXO1）， phosphoinositide 3-kinase（PI3K）， phosphorylated PI3K（p-PI3K）， p38 mitogen-activated protein kinase（p38 MAPK）， phosphorylated p38 MAPK（p-p38 MPAK） and phosphorylated protein kinase B（p- Akt）] were determined in colonic tissue. RESULTS KSC-F could alleviate weight loss and colonic tissue damage in UC mice. KSC- F reduced the levels of IL-1β， IL-6， IL-8 and tumor necrosis factor-α （TNF-α） in serum， as well as IL-1β， IL-6， IL-17 and TNF- α in colonic tissue to varying degrees and increased the levels of IL-10 in both serum and colonic tissue （P＜0.05 or P＜0.01）. Moreover， KSC-F decreased the expression levels of IL-1β， IL-17 and TNF-α mRNA， as well as p-PI3K， p-p38 MAPK， and p- Akt proteins in colonic tissue to varying degrees， and increased the expression levels of IL-10 mRNA and FOXO1 protein in colonic tissue （P＜0.05 or P＜0.01）. CONCLUSIONS KSC-F effectively alleviates UC symptoms in mice by inhibiting PI3K， Akt and p38 MAPK activation， mitigating the release of pro-inflammatory factors such as IL-1β， IL-6， TNF- α，promoting the anti-inflammatory factor IL-10 secretion， and reducing inflammation-induced colonic tissue damage.

OBJECTIVE To explore the action mechanism of kushenol F （KSCF） in treating ulcerative colitis （UC） in mice. METHODS The potential targets of KSCF intervening in UC were predicted with network pharmacology and molecular docking. C57BL/6J mice were randomly divided by body weight into model group， positive control group （sulfasalazine， 703 mg/kg）， KSCF group （100 mg/kg）， and normal group， with 6 mice per group. The UC model of mice was induced by dextran sulfate sodium solution. During the modeling period， the mice were given relevant medicine intragastrically， once a day， for 7 consecutive days. After the last administration， the disease activity index （DAI） of the mice was scored； the length of the mice’s colon was measured； pathological changes in the colon tissue of mice were observed； the levels of lipopolysaccharide （LPS） in serum， myeloperoxidase （MPO）， nitric oxide （NO） and superoxide dismutase （SOD） in the colon were detected in mice； the expression levels of occludin and ZO-1 in colon tissue of mice were detected； the proportions of CD3+T， CD4+T， and CD8+T lymphocytes in the spleen and the ratio of CD4+/CD8+ were detected； changes in colonic microbiota were analyzed by 16S rDNA sequencing. RESULTS Results of network pharmacology indicated that KSCF may treat UC by regulating signaling pathways such as phosphatidylinositol-3 kinase/protein kinase B （PI3K/AKT） and nuclear factor kappa B （NF- κB）. Molecular docking results showed that KSCF bound most stably with NF-κB p65 protein. Animal experiment results demonstrated that， compared with the model group， the pathological characteristics of colon tissue in mice were improved in KSCF group. DAI scores， serum levels of LPS， the levels of MPO，NF-κB p65 phosphorylation and NLRP3 protein expression in the colon， and the proportion of CD8+T lymphocytes in the spleen were reduced significantly （P＜0.05）. Body weight， SOD levels， expression levels of occludin and ZO-1 in the colon， proportions of CD3+T and CD4+T lymphocytes， and the CD4+/CD8+ ratio in the spleen were significantly increased （P＜0.05）； the abundance of Firmicutes， Actinobacteria， Akkermansia， and Lactobacillus genera were increased， while Proteobacteria decreased； the microbial community structure tended towards that of the normal group. CONCLUSIONS KSCF alleviates UC by restoring intestinal microbial imbalance， enhancing immune response， and inhibiting colonic inflammatory responses， thereby improving intestinal barrier integrity.

Objective:To investigate the prognostic factors for all-cause mortality in patients with muscle-invasive bladder cancer(MIBC)with intermediate-to-high-risk primary prostate cancer.Methods:From January 2012 to October 2023,the clinical data of the patients with MIBC with intermediate-to-high-risk primary prostate cancer in Peking University Third Hospital were retrospectively analyzed.All the patients were monitored and the occurrence of all-cause death was documented as the outcome event in the prognostic study.Univariate and multivariate Cox proportional risk regression analysis models were implemented to search for independent influences on the prognosis of patients.For significant influencing factors(pathological T stage,M stage and perineural invasion of bladder cancer),survival curves were plotted before and after multifactorial Cox regression adjusting for confounding factors.Results:A total of 32 patients were included in this study.The mean age was(72.5±6.6)years;the median preoperative total prostate specific antigen(tPSA)was 6.68(2.47,6.84)μg/L;the mean preoperative creatinine was(95±36)μmol/L,and the median survival time was 65 months.The majority of the patients(87.5％)had high-grade bladder cancer,53.1％had lymphatic invasion,and 31.3％had perineural invasion.Prostate involvement was observed in 25.0％of the cases,and the positive rate of soft-tissue surgical margin was 37.5％.Multivariate Cox analysis revealed that preoperative creatinine level(HR=1.02,95％CI:1.01-1.04),pathological stage of bladder cancer T3(HR=11.58,95％CI:1.38-97.36)and T4(HR=19.53,95％CI:4.26-89.52)metastasis of bladder cancer(HR=9.44,95％CI:1.26-70.49)and perineural invasion of bladder cancer(HR=6.26,95％CI:1.39-28.27)were independent prognostic factors(P＜0.05).Survival curves with Log-rank test after adjusting for confounding factors demonstrated that bladder cancer pathology T3,T4,M1,and perineural invasion were unfavorable factors affecting the patients'survival prognosis(P＜0.05).Conclusion:Patients with MIBC with intermediate-to-high risk primary prostate cancer generally portends a poor prognosis.High preoperative serum creatinine,T3 or T4 pathological stage of bladder cancer,metastasis of bladder cancer and bladder cancer perineural invasion are poor prognostic factors for patients with MIBC with intermediate-to-high risk primary prostate cancer.

Currently, the types of kidney stones before surgery are mainly identified by human beings, which directly leads to the problems of low classification accuracy and inconsistent diagnostic results due to the reliance on human knowledge. To address this issue, this paper proposes a framework for identifying types of kidney stones based on the combination of radiomics and deep learning, aiming to achieve automated preoperative classification of kidney stones with high accuracy. Firstly, radiomics methods are employed to extract radiomics features released from the shallow layers of a three-dimensional (3D) convolutional neural network, which are then fused with the deep features of the convolutional neural network. Subsequently, the fused features are subjected to regularization, least absolute shrinkage and selection operator (LASSO) processing. Finally, a light gradient boosting machine (LightGBM) is utilized for the identification of infectious and non-infectious kidney stones. The experimental results indicate that the proposed framework achieves an accuracy rate of 84.5% for preoperative identification of kidney stone types. This framework can effectively distinguish between infectious and non-infectious kidney stones, providing valuable assistance in the formulation of preoperative treatment plans and the rehabilitation of patients after surgery.
Humans ; Kidney Calculi/classification* ; Deep Learning ; Neural Networks, Computer ; Tomography, X-Ray Computed ; Imaging, Three-Dimensional ; Radiomics