BACKGROUND:Traditional methods of urinary tract reconstruction are limited by donor scarcity,high complication rates,and suboptimal functional recovery.Tissue engineering strategies offer new directions in this field.Since the urinary tract is mainly composed of muscle tissue,the key is to find suitable seed cells and efficiently induce them to differentiate into smooth muscle cells.Comparative studies on the efficacy of different smooth muscle cell induction regimens are still lacking. OBJECTIVE:To isolate,culture,and identify human urine-derived stem cells,and to compare the effects of two different induction protocols. METHODS:Human urine-derived stem cells were isolated from urine samples of 11 healthy adult volunteers by multiple centrifugations.Surface markers were identified by flow cytometry.The multi-directional differentiation potential of human urine-derived stem cells was verified through osteogenic and adipogenic differentiation.Differentiation was induced by transforming growth factor-β1 or transforming growth factor-β1 combined with platelet derived growth factor for 14 days.Immunofluorescence staining and western blot assay were employed to compare the expression differences of smooth muscle-specific proteins(α-SMA and SM22). RESULTS AND CONCLUSION:(1)Urine-derived stem cells were successfully isolated from the eight urine samples of healthy people.These cells exhibit a"rice grain"-like morphology and possess a robust proliferative capacity.(2)Urine-derived stem cells exhibited high expression of mesenchymal stem cell surface markers(CD73,CD90,and CD44)and extremely low expression of hematopoietic stem cell surface markers(CD34 and CD45).These cells did not express CD19,CD105,and HLA-DR.(3)After osteogenic and adipogenic differentiation,the formation of calcium nodules and lipid droplets was observed,with positive staining results from Alizarin Red S and Oil Red O staining.(4)After 14 days of smooth muscle induction culture,immunofluorescence staining revealed that the smooth muscle differentiation rate of urine-derived stem cells treated with a combination of transforming growth factor-β1 and platelet derived growth factor was significantly higher compared to those treated with transforming growth factor-β1 alone(P<0.005).(5)After 14 days of smooth muscle induction culture,western blot assay further demonstrated that the expression levels of α-SMA and SM22 in the transforming growth factor-β1/platelet derived growth factor group were significantly elevated compared to those in the transforming growth factor-β1 only group(P<0.005).These findings confirm that urine-derived stem cells can be non-invasively isolated using multiple rounds of centrifugation.Compared with transforming growth factor-β1 alone,the combination of transforming growth factor-β1 and platelet derived growth factor can improve the efficiency of inducing urine-derived stem cells to differentiate into smooth muscle cells.

Objective: To investigate the mechanism of Yishen Tongluo Formula in ameliorating renal pyroptosis in diabetic nephropathy mice by regulating the toll-like receptor 4 (TLR4)/myeloid differentiation factor 88 (MyD88)/nuclear factor-κB (NF-κB) signaling pathway. Methods: Sixty C57BL/6 male mice were randomly divided into control (10 mice) and intervention groups (50 mice) using random number table method. The diabetes nephropathy model was established by intraperitoneally injecting streptozotocin(50 mg/kg). After modeling, the intervention group was further divided into model, semaglutide (40 μg/kg), and high-, medium-, and low-dose Yishen Tongluo Formula groups (15.6, 7.8, and 3.9 g/kg, respectively) using random number table method. The high-, medium-, and low-dose Yishen Tongluo Formula groups were administered corresponding doses of medication by gavage, the semaglutide group received a subcutaneous injection of semaglutide injection, and the control group and model groups were administered distilled water by gavage for 12 consecutive weeks. Random blood glucose levels of mice in each group were monitored, and the 24-h urinary protein content was measured using biochemical method every 4 weeks; after treatment, the serum creatinine and urea nitrogen levels were measured using biochemical method. The weight of the kidneys was measured, and the renal index was calculated. Hematoxylin and eosin, periodic acid-Schiff, periodic Schiff-methenamine, and Masson staining were used to observe the pathological changes in renal tissue. An enzyme-linked immunosorbent assay was used to detect urinary β2-microglobulin (β2-MG), neutrophil gelatinase-associated lipocalin (NGAL), and kidney injury molecule-1 (KIM-1) levels. Western blotting and real-time fluorescence PCR were used to detect the relative protein and mRNA expression levels of nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3), Caspase-1, gasdermin D (GSDMD), interleukin-1β (IL-1β), and interleukin-18 (IL-18) in renal tissue. Immunohistochemistry was used to detect the proportion of protein staining area of the TLR4, MyD88, and NF-κB in renal tissue. Results: Compared with the control group, the random blood glucose, 24-h urinary protein, serum creatinine, urea nitrogen, and renal index of the model group increased, and the urine β2-MG, NGAL, and KIM-1 levels increased. The relative protein and mRNA expression levels of NLRP3, Caspase-1, GSDMD, IL-1β, and IL-18 in renal tissue increased, and the proportion of TLR4, MyD88, and NF-κB protein positive staining areas increased (P<0.05). Pathological changes such as glomerular hypertrophy were observed in the renal tissue of the model group. Compared with the model group, the Yishen Tongluo Formula high-dose group showed a decrease in random blood glucose after 12 weeks of treatment (P<0.05). The Yishen Tongluo Formula high- and medium-dose groups showed a decrease in 24-h urinary protein, creatinine, urea nitrogen, and renal index, as well as decreased β2-MG, NGAL, and KIM-1 levels. NLRP3, Caspase-1, GSDMD, IL-1 β, and IL-18 relative protein and mRNA expression levels were also reduced, and the proportion of TLR4, MyD88, and NF-κB protein positive staining areas was reduced (P<0.05). Pathological damage to renal tissue was ameliorated. Conclusion Yishen Tongluo Formula may exert protective renal effects by inhibiting renal pyroptosis and alleviating tubular interstitial injury in diabetic nephropathy mice by regulating the TLR4/MyD88/NF-κB signaling pathway.

Depressive disorder is a mental illness characterized by poor mood and cognitive dysfunction caused by a range of complicated factors. Antidepressants have strong short-term efficacy in clinical application, yet with significant adverse effects and resistance in long-term use. Essential oils are small molecular compounds mainly composed of monoterpenes and sesquiterpenes, most of which are characterized by aromatic odors, easy permeability through the blood-brain barrier, and low toxic side effects. Volatile oil from traditional Chinese medicine can regulate neurotransmitter monoamine, hypothalamic-pituitary-adrenal axis, brain-derived neurotrophic factor, neuroinflammation and oxidative stress, and intestinal microbiota-gut-brain axis to exert an antidepressant effect through multiple pathways and targets. This review summarizes the main antidepressant chemical components of essential oil of traditional Chinese medicine, their pharmacological mechanisms and clinical application, aiming to provide some reference for further development and clinical application of essential oil of traditional Chinese medicine.

Diabetic kidney disease （DKD） stands as one of the most prevalent microvascular complications of diabetes，noted for its concealed onset and tendency to evolve into end-stage renal disease，profoundly impacting patients' life expectancy and quality of life. Epithelial-to-mesenchymal transition （EMT） is a central pathological process in the initiation and progression of DKD，facilitating disease advancement and renal fibrosis，thus representing a crucial focus of research into the pathological mechanisms of DKD. EMT is driven by the abnormal activation of signaling pathways，including transforming growth factor-β （TGF-β）/Smad，secreted glycoprotein/β-catenin，Notch，tumor necrosis factor-α （TNF-α）/nuclear factor-κB （NF-κB），and phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR），leading to renal cellular injury and subsequently accelerating renal fibrosis and the progression of DKD. Traditional Chinese medicine （TCM），characterized by its multi-target and multi-pathway therapeutic approach，demonstrates unique advantages in addressing DKD and EMT. Recent research has shown that active ingredients in TCM，including glycosides，flavonoids，and polyphenols，as well as TCM formulas，can precisely target these relevant signaling pathways，effectively inhibiting cellular injury in DKD and intervening in the EMT process. These findings not only underscore the potential of TCM monomers and formulas in treating DKD and EMT but also pave new directions for research in this field within TCM. This paper systematically reviewed the signaling pathways associated with EMT and provided an in-depth analysis of the research achievements and underlying mechanisms of TCM monomers and formulas in treating DKD and intervening in EMT，aiming to offer new insights and directions for TCM in the treatment of DKD and research on EMT，thereby further promoting the modernization and development of TCM.

The pharmaceutical industry faces challenges in quality digitization for complex multi-stage processes, especially in small-sample systems. Here, an intelligent quality prediction and diagnostic (IQPD) framework was developed and applied to Tong Ren Tang's Niuhuang Qingxin Pills, utilizing four years of data collected from four production units, covering the entire process from raw materials to finished products. In this framework, a novel path-enhanced double ensemble quality prediction model (PeDGAT) is proposed, which combines a graph attention network and path information to encode inter-unit long-range and sequential dependencies. Additionally, the double ensemble strategy enhances model stability in small samples. Compared to global traditional models, PeDGAT achieves state-of-the-art results, with an average improvement of 13.18% and 87.67% in prediction accuracy and stability on three indicators. Additionally, a more in-depth diagnostic model leveraging grey correlation analysis and expert knowledge reduces reliance on large samples, offering a panoramic view of attribute relationships across units and improving process transparency. Finally, the IQPD framework integrates into a Human-Cyber-Physical system, enabling faster decision-making and real-time quality adjustments for Tong Ren Tang's Niuhuang Qingxin Pills, a product with annual sales exceeding 100 million CNY. This facilitates the transition from experience-driven to data-driven manufacturing.

OBJECTIVE: In order to enhance the efficacy of anti-breast cancer, paclitaxel nanoparticles (PTX NPs) and polypyrrole nanoparticles (PPy NPs) were combined with photothermal therapy and chemotherapy. At the same time, the two dosage forms of PTX NPs and PTX NPs gel were compared. METHODS: PTX NPs were prepared by self-assembly method, and then the cytotoxicity in vitro was investigated by Methyl thiazolyl tetrazolium (MTT) and other methods, and the efficacy and side effects in vivo were further investigated. RESULTS: The average hydrated diameter, PDI and electric potential of PTX NPs were (210.20 ± 1.57) nm, (0.081 ± 0.003) mV and (15.80 ± 0.35) mV, respectively. MTT results showed that the IC₅₀ value of PTX NPs on 4 T1 cells was 0.490 μg/mL, while that of PTX injection was 1.737 μg/mL. The cell inhibitory effect of PTX NPs was about 3.5 times higher than that of PTX injection. The tumor inhibition rates of PTX NPs and gel were 48.64% and 56.79%, respectively. Together with local photothermal stimulation, the tumor inhibition rate of the PTX NPs reached 91.05%, surpassing that of the gel under the same conditions (48.98%), moreover, the organ index and H&E staining results of PTX NPs showed a decrease in toxicity. CONCLUSION This combination therapy can significantly enhance the effect of anti-breast cancer, and the synergistic effect of chemotherapy and light and heat provides a feasible and effective strategy for the treatment of tumor.

Berberine is a commonly used traditional Chinese medicine,which has the antimicrobial and anti-inflammatory properties.Ongoing investigations have identified berberine as an effective medicine for systemic diseases,such as cardiovascular diseases,diabe-tes mellitus and neurological disorders.At the same time,there exists a close relationship between oral microbiota and these systemic diseases.This review focuses on the relationship between berberine,oral microbiota and systemic diseases,offering new insights for the treatment of systemic diseases.

Objective:To identify the relationship between the CT arterial radiomics score and the treatment response to neoadjuvant therapy for pancreatic cancer.Methods:The clinical data of 243 pancreatic cancer patients who received surgical resection after neo-adjuvant therapy in the First Affiliated Hospital of Naval Medical University from March 2017 to March 2023 were retrospectively analyzed. Based on the tumor regression grade (TRG), the patients were divided into good response group (TRG 0-1, n=30) and non-good response group (TRG 2-3, n=213). The clinical, radiological and pathological features were compared between two groups. Fully-automated segmentation tool was used for segmenting the arterial CT scan of pancreatic tumor before and after treatment. Python package was applied to extract the radiomics features of tumors after segmentation and the extracted features were reduced and chosen using the least absolute shrinkage and selection operator (Lasso) logistic regression algorithm. Lasso logistic regression formula was applied to calculate the arterial radiomics score. Univariate and multivariate logistic regression models were used to analyze the association between arterial radiomics score and treatment response to neoadjucant therapy. Receiver operating-characteristics (ROC) curve was drawn and area under curve (AUC), specificity, sensitivity and accuracy for evaluating the treatment response were calculated. The clinical usefulness of arterial radiomics score for diagnosing the response of neoadjuvant treatment for pancreatic cancer were determined by decision curve analysis (DCA) . Results:A total of 330 arterial radiomics CT features were obtained, and 9-selected arterial phase features associated with treatment response were determined after being reduced by the Lasso logistic regression algorithm. Univariate analysis showed that the arterial radiomics score, three-dimensional diameter after neoadjuvant therapy, pancreatic contour, T stage, N stage, Peri-pancreatic nerve invasion, lymph-vascular space invasion (LVSI) and invasion of duodenum were all associated with treatment response (all P value <0.05). Multivariate logistic regression analyses confirmed that arterial radiomics score was obviously associated with the neoadjuvant treatment response ( P<0.001). At the cut-off value of 1.93, AUC of the arterial radiomics score for diagnosing neoadjuvant treatment response was 0.92, and the specificity, sensitivity and accuracy was 86.7%, 84.5% and 84.8%. DCA demonstrated that when the percentage for predicting the treatment response by using the arterial radiomics score was >0.2, the patients could benefit from the application of arterial radiomics score for evaluating neoadjuvant therapy response. Conclusions:The arterial radiomics score was strongly correlated with the neoadjuvant treatment response of pancreatic cancer, and can accurately predict neoadjuant treatment efficacy.

Objective To explore the latent class and influencing factors between different behavioral lifestyles in community patients with diabetes, to classify the population and reveal the behavioral lifestyle characteristics of different types of diabetes, and to provide a scientific basis for active health management of diabetes, the identification of high-risk groups and maximization of the effect of intervention measures. Methods From June to August 2022, a behavioral and lifestyle follow-up survey was conducted on 1 179 diabetes patients with electronic health records from 18 community health service centers in Pingshan District, Shenzhen. The latent class analysis (LCA) method was used to cluster the life and behavior style of the study subjects, and the disordered multi-classification logistic regression was used to analyze the influencing factors of each class. Results The LCA results showed that there were three latent classes of community diabetes patients: ^“overweight and obese group^” (28.4%), ^“balanced diet group^” (30.8%), and ^“vegetarian but persistent exercise group^” (40.8%). Logistic regression analysis results showed that age, total cholesterol , LDL , fasting blood glucose, comorbidities, and hypertension history affected the latent classes of behavioral lifestyle in diabetic patients in the community (P<0.05). Conclusion The behavioral lifestyle of community diabetes patients has obvious classification characteristics and obvious differentiation in terms of eating behavior. Doctors and health managers can issue corresponding lifestyle medicine prescriptions and formulate corresponding active health management measures to prevent the occurrence of risk factors related to diabetes patients in advance and formulate personalized intervention measures.

Objective To optimize the preparation process of hydroxysafflor yellow A(HSYA)nanoparticle and conduct in vitro release evaluation.Methods HSYA nanoparticles were prepared with PLGA as carrier by modified compound emulsion method.The optimal preparation process of the experiment was selected by Plackett-Burman and Box-Behnken response surface method.The nanoparticles were characterized by using particle size analyzer,TEM scanning electron microscope,Fourier transform infrared spectroscopy(FT-IR),X-ray diffraction(XRD).Frozen(4℃)storage stability,stability in physiological medium,lyophilized protective agent and in vitro release rate were investigated.Results The optimal process prescription of nanoparticle is as follow:pH value is 6.95,the dosage is 2.8 mg,and carrier dosage is 18.2 mg.The size of nanoparticles obtained at optimum condition is(176.4±1.29)nm,the polydiseperse index(PDI)is 0.152±0.014,the Zeta potential is(-17.6±0.46)mV,the encapsulation rate is(78.5±0.49)％,drug loading is(7.3±0.07)％.These nanoparticles showed round and good dispersion.Good stability in 4℃ storage environment and different physiological media of nanoparticles were observed.The best lyophilized protective agent was 1％glucose and the in vitro release rate of nanoparticles at 48 hours was 85％.Conclusion The optimization method is reasonable and reliable.The obtained nanoparticles have good stability and sustained-release effect.The in vitro release behavior conformed to first-order kinetic model.