ObjectiveTo observe the clinical efficacy of Sanren Runchang formula in treating constipation-predominant irritable bowel syndrome （IBS-C） by regulating the brain-gut axis and the effects of the formula on serum levels of 5-hydroxytryptamine （5-HT）， vasoactive intestinal peptide （VIP）， and substance P （SP）. MethodsA randomized controlled design was adopted， and 72 IBS-C patients meeting Rome Ⅳ criteria were randomized into observation and control groups （36 cases）.The observation group received Sanren Runchang formula granules twice daily， and the control group received lactulose oral solution daily for 4 weeks. IBS Symptom Severity Scale （IBS-SSS）， IBS Quality of Life Scale （IBS-QOL）， and Bristol Stool Form Scale （BSFS） were used to assess clinical symptoms， and bowel movement frequency was recorded. The Self-Rating Anxiety Scale （SAS） and Self-Rating Depression Scale （SDS） were employed to evaluate psychological status. ELISA was employed to measure the serum levels of 5-HT， VIP， and SP. ResultsThe total response rate in the observation group was 91.67% （33/36）， which was higher than that （77.78%， 28/36） in the control group （χ²=4.50， P<0.05）. After treatment， both groups showed increased defecation frequency and BSFS scores， decreased IBS-SSS total score， abdominal pain and bloating scores， IBS-QOL health anxiety， anxiety， food avoidance， and behavioral disorders scores， SAS and SDS scores， serum 5-HT and VIP levels， and increased SP levels （P<0.05， P<0.01）. Moreover， the observation group showed more significant changes in the indicators above than the control group （P<0.05， P<0.01）. The SP level showed no significant difference between the two groups. During the 4-week follow-up， the recurrence rate was 5.88% in the observation group and 31.25% in the control group. No adverse events occurred in observation group， and 2 cases of mild diarrhea occurred in the control group. ConclusionSanren Runchang formula demonstrated definitive efficacy in alleviating gastrointestinal symptoms and improving the psychological status and quality of life in IBS-C patients， with a low recurrence rate. The formula can regulate serum levels of neurotransmitters such as 5-HT and VIP， suggesting its potential regulatory effect on the brain-gut axis through modulating neurotransmitters and neuropeptides. However， its complete mechanism of action requires further investigation through detection of additional brain-gut axis-related biomarkers.

Retinal microcirculatory disorder is a key factor in the occurrence and development of diabetic retinopathy （DR）， and also an important link in the prevention and treatment of DR. The theory of "Gaozhuo" holds that the microcirculatory disorder in DR is based on the deficiency of spleen Qi and is characterized by the obstruction caused by "Gaozhuo" and blood stasis. The deficiency of spleen Qi is an essential precondition for the endogenous formation and accumulation of Gaozhuo， while Gaozhuo invasion is the direct cause of microcirculatory disorders in DR. The deficiency of spleen Qi and the endogenous formation of Gaozhuo mean the process in which glucose metabolism dysfunction induces an excessive production of inflammatory factors and lipid metabolites. The obstruction caused by "Gaozhuo" and blood stasis is the direct pathogenesis of microcirculatory disorders in DR， encompassing two stages： Gaozhuo obstruction and turbidity and stasis stagnation. Gaozhuo obstruction and turbidity and stasis stagnation represent the process in which inflammatory factors and lipid metabolites damage the retinal microcirculation and induce thrombosis， thus mediating microcirculatory disorders. Turbidity and stasis stagnation and blood extravasation outside the vessels reveal the progression to microvascular rupture and hemorrhage resulting from the microcirculatory disorders. According to the pathogenesis evolution of the theory of "Gaozhuo"， microcirculatory disorders in DR can be divided into deficiency of spleen Qi with Gaozhuo obstruction， deficiency of spleen Qi with turbidity and stasis stagnation， and turbidity and stasis stagnation with blood extravasation outside the vessels. Clinically， treatment principles should focus on strengthening the spleen and benefiting Qi， resolving turbidity， and dispersing stasis. Different syndrome patterns should be addressed with tailored therapies， such as enhancing the spleen and benefiting Qi while regulating Qi and reducing turbidity， strengthening the spleen and benefiting Qi while resolving turbidity and dispelling stasis， and strengthening the spleen and resolving turbidity while removing stasis and stopping bleeding. Representative prescriptions include modified Wendantang， modified Buyang Huanwutang， modified Danggui Buxuetang， Zhuixue Mingmu decoction， Tangmuqing， Shengqing Jiangzhuo Tongluo Mingmu prescription， Danhong Huayu decoction， and Yiqi Yangyin Huoxue Lishui formula.

Guishenwan （GSW）， originating from Jingyue Quanshu （Zhang Jingyue's Complete Works）， is a classic traditional Chinese medicine （TCM） formula with a history of over 400 years. Designed for kidney essence deficiency syndrome， it is clinically applied to treat diseases associated with essence-blood deficiency， such as ovarian insufficiency diseases in women， oligospermia-induced infertility in men， and lumbar disc herniation. Numerous studies have confirmed its significant efficacy and advantages in managing ovarian insufficiency diseases， including diminished ovarian reserve （DOR）， premature ovarian insufficiency （POI）， and premature ovarian failure （POF）. According to recent literature， the therapeutic mechanisms of GSW in treating ovarian insufficiency diseases involve regulating the hypothalamic-pituitary-ovarian axis （HPOA） function， ameliorating reproductive endocrine disorders， improving ovarian function， modulating relevant signaling pathways， and exerting immunoregulatory and anti-inflammatory effects. A review of GSW in clinical treatment revealed that clinical applications of GSW， particularly in combination with Western medicine， not only alleviate symptoms but also compensate for the limitations of hormone replacement therapy， thereby reducing recurrence， minimizing adverse reactions， and enhancing safety. This review aims to provide a scientific basis for the rational clinical use of GSW in ovarian insufficiency diseases， offer innovative TCM strategies for developing novel ovarian-protective drugs， promote the integration of TCM and Western medicine in reproductive medicine， and ultimately contribute a Chinese approach to global management of ovarian insufficiency diseases.

Based on the thinking of programmatization and proceduralization， this study integrated traditional Chinese medicine （TCM） classic theories with modern knowledge expression technologies to construct a "formula-symptom" syndrome differentiation thinking model centered on "symptom clustering-main syndrome screening-formula adaptation"， and explored the standardization and intelligentization path of TCM syndrome differentiation and treatment. By establishing the mapping relationship model between formulas and syndromes including quantitative weight analysis of chief， deputy， assistant and envoy medicines， designing the logical hierarchical structure of formula-syndrome decision tree （application of three-level decision tree and fuzzy logic）， and formulating the procedural design of four diagnostic methods （structured collection， correlation model， and dynamic correction mechanism）， the standardization and visualization of the syndrome differentiation process are realized. This model can be transformed into the core data set for artificial intelligence training. Through ternary knowledge graph and machine learning algorithms， it can improve the repeatability of syndrome differentiation and the efficiency of diagnosis and treatment， and implement the strategy of "group model + individual modification" to balance the conflict between quantification and individualization. The core value of this model lies in promoting the objectification and precision development of TCM syndrome differentiation and treatment through the integration of traditional syndrome differentiation thinking and modern system science.

OBJECTIVE To investigate the effects and mechanisms of Lycium ruthenicum Murr. in improving sleep. METHODS Network pharmacology was employed to identify the active components of L. ruthenicum and their associated disease targets， followed by enrichment analysis. A caffeine‑induced zebrafish model of sleep deprivation was established ， and the zebrafish were treated with L. ruthenicum Murr. extract （LRME） at concentrations of 0.1， 0.2 and 0.4 mg/mL， respectively； 24 h later， behavioral changes of zebrafish and pathological alterations in brain neurons were subsequently observed. The levels of inflammatory factors [interleukin-6 （IL-6）， IL-1β， IL-10， tumor necrosis factor-α （TNF-α）]， oxidative stress markers [superoxide dismutase （SOD）， malondialdehyde （MDA）， glutathione peroxidase （GSH-Px）， catalase （CAT）]， and neurotransmitters [5- hydroxytryptamine （5-HT）， γ-aminobutyric acid （GABA）， glutamic acid （Glu）， dopamine （DA）， and norepinephrine （NE）] were measured. The protein expression levels of protein kinase B1 （AKT1）， phosphorylated AKT1 （p-AKT1）， epidermal growth factor receptor （EGFR）， B-cell lymphoma 2 （Bcl-2）， sarcoma proto-oncogene，non-receptor tyrosine kinase （SRC）， and heat shock protein 90α family class A member 1 （HSP90AA1） in the zebrafish were also determined. RESULTS A total of 12 active components and 176 intersecting disease targets were identified through network pharmacology analysis. Among these， apigenin， naringenin and others were recognized as core active compounds， while AKT1， EGFR and others served as key targets； EGFR tyrosine kinase inhibitor resistance signaling pathway was identified as the critical pathway. The sleep improvement rates in zebrafish of LRME low-， medium-， and high-dose groups were 54.60%， 69.03% and 77.97%， 开发。E-mail：hjp_yft@163.com respectively， while the inhibition ratios of locomotor distance were 0.57， 0.83 and 0.95， respectively. Compared with the model group， the number of resting counts， resting time and resting distance were significantly increased/extended in LRME medium- and high-dose groups （P＜0.05）. Neuronal damage in the brain was alleviated. Additionally， the levels of IL-6， IL-1β， TNF-α， MDA， Glu， DA and NE， as well as the protein expression levels of AKT1， p-AKT1， EGFR， SRC and HSP90AA1， were markedly reduced （P＜0.05）， while the levels of IL-10， SOD， GSH-Px， CAT， 5-HT and GABA， as well as Bcl-2 protein expression， were significantly elevated （P＜0.05）. CONCLUSIONS L. ruthenicum Murr. demonstrates sleep-improving effects， and its specific mechanism may be related to the regulation of inflammatory responses， oxidative stress， neurotransmitter balance， and the EGFR tyrosine kinase inhibitor resistance signaling pathway.

Objective To explore an artificial intelligence (AI)-based method for automated hand hygiene monitoring and to compare the effectiveness of three algorithms (UniFormerV2, TDN, C3D) in recognizing hand hygiene steps in surgical settings, thereby aiding hospital infection control. Methods From April to October 2024, we non-invasively collected 641 video recordings of healthcare staff performing hand hygiene at four-bay scrub sinks in two tertiary hospitals using overhead HD cameras. The dataset was annotated by five trained experts for model training and validation. Results Following training on 385 samples, internal validation (n=119) showed the C3D model achieved 81% accuracy, 87% recall, and an 83% F1-score. The TDN model achieved 93%, 91%, and 92% for the same metrics. The UniFormerV2 model outperformed both, with an accuracy, recall, and F1-score of 93%—an improvement of over 10 percentage points compared to traditional CNNs (TDN, C3D). It also achieved an 84% accuracy in external validation, demonstrating strong generalization. Conclusion The UniFormerV2 model is more accurate than CNN-based models for hand hygiene step recognition and shows robust performance in external validation. It presents a viable tool for healthcare facilities to enhance hand hygiene management, ultimately improving medical quality and patient safety.

Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

[摘 要] 目的：探讨Shc SH2结构域结合蛋白1（SHCBP1）基因在结直肠癌（CRC）中的表达及其调控CRC细胞（Caco-2）增殖、迁移和侵袭的机制。方法：将Caco-2细胞分为4个实验组：Con组（空白对照）、sh-NC组（转染阴性对照sh-NC）、sh-SHCBP1组（转染sh-SHCBP1）、sh-SHCBP1 + 740Y-P组（转染sh-SHCBP1后用30 μmol/L PI3K激活剂740Y-P处理1 h）。采用CCK-8法、细胞划痕和Transwell实验检测细胞增殖、迁移和侵袭能力，基于Matrigel进行三维培养实验检测SHCBP1对Caco-2细胞血管生成拟态（VM）形成能力的影响，qRT-PCR检测SHCBP1的mRNA表达情况，WB法检测SHCBP1、VM相关蛋白以及PI3K/AKT/mTOR信号通路相关蛋白的表达。结果：SHCBP1在CRC组织和细胞中呈高表达（P < 0.05）。与Con组和sh-NC组相比，sh-SHCBP1组的SHCBP1的mRNA和蛋白表达水平、细胞增殖活性、划痕修复率、穿膜细胞数和形成的小管数均显著降低（均P < 0.05）；低氧诱导因子1α（HIF-1α）、Ephrin A型受体2（EPHA2）、VEGFA、p-PI3K、p-AKT和p-mTOR蛋白表达水平均显著降低（均P < 0.05）。对比sh-SHCBP1组，sh-SHCBP1 + 740Y-P组的细胞增殖活性、划痕修复率、穿膜细胞数和形成的拟态血管数均显著增加（均P < 0.05）；HIF-1α、EPHA2、VEGFA、p-PI3K、p-AKT和p-mTOR蛋白表达水平均显著增加（均P < 0.05）。结论：SHCBP1在Caco-2细胞中表达显著上调，促进Caco-2细胞的增殖、迁移和侵袭，其机制可能与激活PI3K/AKT/mTOR信号通路促进VM过程有关。

Objective To explore the relationship between levels of retinol binding protein (RBP) and lipoprotein (a) [Lp(a)], and obesity and the occurrence risk of cardiovascular disease in population with prehypertension (PH). Methods A total of 301 patients with PH who were admitted to the First Affiliated Hospital of Anhui University of Science and Technology for physical examination from July 2021 to July 2024 were selected as the study subjects. The levels of serum RBP and Lp(a) were determined, and the waist circumference (WC) and body mass index (BMI) were measured to evaluate the obesity of patients. All patients were followed up. According to whether cardiovascular disease occurred during the follow-up period, they were classified into a study group (with cardiovascular disease) and a control group (without cardiovascular disease). The effects of serum RBP and Lp(a) levels, WC and BMI on the risk of cardiovascular disease were analyzed. Results The follow-up results showed that 53 out of 301 cases developed cardiovascular disease. The levels of RBP, Lp(a), WC, and BMI in the study group were higher than those in the control group (P<0.05). Receiver operating characteristic curve revealed that the areas under the curves of RBP, Lp(a), WC, and BMI for predicting the cardiovascular disease were 0.823, 0.741, 0.768, and 0.841, respectively. Serum RBP, Lp(a), WC, and BMI were influencing factors of the occurrence of cardiovascular disease (P<0.05). Conclusion RBP, Lp(a), WC, and BMI are the influencing factors for the occurrence of cardiovascular disease in patients with prehypertension. These four indicators have certain predictive value on the occurrence of cardiovascular disease.

OBJECTIVE To observe the clinical efficacy of mycophenolate mofetil （MMF） combined with Budesonide enteric capsules in the treatment of high-risk progressive immunoglobulin A nephropathy （IgAN）. METHODS A total of 150 adult patients with high-risk progressive IgAN who attended the Department of Nephrology， Chongqing University Three Gorges Hospital， between August 1， 2024 and March 1， 2025 were enrolled in this study. The control group （ n ＝94） received MMF combined with glucocorticoid， while the observation group （ n ＝56） received MMF combined with Budesonide enteric capsules. The 24-hour urine protein （24 h UP）， estimated glomerular filtration rate （eGFR）， and albumin （ALB） levels of patients in both groups were compared at 1， 2， 3， and 6 months post-treatment. The complete response （CR） rate and overall response rate were calculated for both groups at 1， 2， 3， and 6 months post-treatment. Adverse reactions occurring during treatment were compared between the two groups. RESULTS Compared with before treatment， 24 h UP decreased significantly in both groups at different time points after treatment （ P ＜0.05）， and ALB increased significantly （ P ＜0.05）. However， there was no significant change in eGFR （ P ＞0.05）. The 24 h UP in the observation group at 1， 2， and 3 months after treatment was significantly lower than that of the control group （ P ＜0.05）， while the ALB level was significan tly higher （ P ＜0.05）. However， at 6 months after treatment， there was no statistically significant difference in these two indicators between the two groups （ P ＞0.05）. There was no statistically significant difference in eGFR between the two groups at different time points after treatment （ P ＞0.05）. The overall response rates in the observation group at 1 and 2 months after treatment were significantly higher than those in the control group （ P ＜0.05）. There was no statistically significant difference in the overall response rate at the remaining treatment time points and the CR rate at all time points between the two groups （ P ＞0.05）. Patients in the observation group had significantly lower rates of skin abnormalities， elevated blood glucose， and overall adverse reactions compared with the control group （ P ＜0.05）. CONCLUSIONS Compared with MMF combined with glucocorticoids， MMF combined with Budesonide enteric capsules for the treatment of high-risk progressive IgAN patients can reduce proteinuria and improve serum ALB levels more quickly， significantly increase the early overall response rate， and significantly reduce glucocorticoid-related skin adverse reactions， blood glucose elevation， and the overall incidence of adverse reactions， demonstrating a better short-term benefits.