Colorectal cancer （CRC） is one of the most common cancers， with its incidence ranking high among cancers. It stands as the second leading cause of cancer-related death worldwide. In the early stages， CRC lacks specific symptoms， and most patients are diagnosed at advanced stages， making it a major research focus in the field of gastrointestinal tumors. Currently， clinical CRC treatments face several common challenges， including high surgical risks， frequent metastasis and recurrence， drug resistance， and significant side effects from chemotherapy and radiation therapy. With the development and application of traditional Chinese medicine （TCM）， it has been found that TCM and its active ingredients can effectively inhibit CRC cell proliferation， invasion， migration， and angiogenesis， and promote apoptosis and autophagy， thereby slowing the progression of CRC. This has become a key focus of CRC treatment research. Salvia Miltiorrhiza has multiple pharmacological effects， including activating blood circulation to dispel blood stasis， unlocking meridians to relieve pain， clearing heat to calm irritability， and cooling blood to reduce abscesses. It contains a variety of chemical components， including diterpenoids， phenolic acids， flavonoids， polysaccharides， nitrogen-containing compounds， steroids， and lactone compounds. This review summarized the molecular mechanisms of Salvia miltiorrhiza and its active ingredients in the treatment of CRC. It is found that these ingredients exert anti-CRC effects through various molecular mechanisms， including cell cycle arrest， promotion of apoptosis， inhibition of cell invasion and migration， induction of autophagy， suppression of tumor angiogenesis， and remodeling of the tumor microenvironment. The review aims to provide new insights for the drug development and clinical application of Salvia miltiorrhiza in CRC treatment.

Diabetic kidney disease （DKD） is a microvascular complication of diabetes， with a complex pathogenesis， in which mitochondrial dysfunction is considered to be the core of DKD development. Taking mitochondria as a target to regulate mitochondrial energy metabolism， mitochondrial oxidative stress， mitophagy， and mitochondrial dynamic function represents a promising strategy for the DKD prevention and treatment， with good prospects in clinical application. Traditional Chinese medicine （TCM） has great potential to mediate mitochondrial dysfunction in the DKD prevention and treatment. This article deeply explores the intrinsic relationship between various forms of mitochondrial dysfunction and DKD， and summarizes the current research status of various Chinese herbal compounds and Chinese herbal formulas in targeting mitochondrial dysfunction for the DKD prevention and treatment. This article aims to provide new targets and strategies for the DKD prevention and treatment， and the research and development of TCM.

ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

Objective To apply an artificial intelligence (AI) -based pelvic floor optimization training system using human motion analysis technique in patients undergoing pelvic floor rehabilitation, so as to assist clinicians in providing guidance, improving clinical efficiency, and enhancing the efficacy of patients' independent training. Methods A total of 60 patients with overactive bladder (OAB) complicated with urgent urinary incontinence (UUI) treated in our hospital during Sep. 2024 and Dec. 2025 were enrolled and randomly divided into the routine guidance group (n=30) and AI guidance group (n=30). The routine guidance group received conventional pelvic floor optimization training under clinicians' instruction, while the AI guidance group underwent training with the AI-based pelvic floor optimization system using human motion analysis. After 6 weeks of intervention, outcomes were compared between the two groups, including the international consultation on incontinence questionnaire-short form (ICI-Q-SF), incontinence quality of life scale (I-QoL), overactive bladder symptom score (OABSS), patient's perception of bladder condition (PPBC) score, pelvic floor muscle function (myoelectric values in the preresting, post-resting, type Ⅰ muscle, type Ⅱ muscle, and endurance test phases), urine output, average flow rate (Qavg), and maximum flow rate (Qmax). Results After 6 weeks of treatment, the ICI-Q-SF, I-QoL, OABSS, PPBC score, type I muscle myoelectric value, Qavg and Qmax were significantly improved in both groups compared with baseline (P＜0.05). After 6 weeks of intervention, the I-QoL score was significantly higher in the AI guidance group than in the routine guidance group[81.82 (79.55, 84.38) vs.77.84 (75.00, 79.55) ], with significant difference (P＜0.05). Compared with the routine guidance group, the AI guidance group showed significant improvements in myoelectric values in the pre-resting, post-resting, type I muscle and endurance testing phases (P＜0.05). Conclusion The AI-based pelvic floor optimization training system can effectively assist clinicians in guiding patients to complete pelvic floor optimization training, improve rehabilitation efficiency and efficacy of independent exercise, and reduce dependence on specialized clinicians, which exhibits favorable safety.

Intestinal mucositis is a common complication induced by chemotherapy in malignant tumors， which severely compromises the efficacy of chemotherapy and reduces patients’ quality of life. This article systematically reviews the pathological mechanisms underlying chemotherapy-induced intestinal mucositis， encompassing oxidative damage， inflammatory injury， apoptotic damage， disruption of the intestinal barrier， and intestinal dysbiosis. Additionally， it provides a comprehensive summary of current therapeutic strategies for intestinal mucositis， including chemical agents and composite materials， natural products， compound prescription of traditional Chinese medicine， growth factors， blood products， and fecal microbiota transplantation. Future efforts should strengthen multidisciplinary cross-innovation， integrating animal models and large-scale clinical trials to develop highly effective and low-toxicity therapeutic drugs that balance chemotherapy toxicity and antitumor efficacy.

Objective To establish a brucellosis monitoring and testing technique applicable for the rapid field screening of natural epidemic diseases.Methods A rapid testing technique for Brucella was developed based on a double-antibody sandwich testing model using gradient-variant quantum dots as fluorescent tracers.The sensitivity,linearity,precision,and specificity of the technique were evaluated using suspensions of standard Brucella strains.Methodological comparisons across different sample types were conducted to assess the consistency of the test results.Results The gradient-variant quantum dots detection method was evaluated with standard Brucella strains,exhibiting a sensitivity of 1×103 CFU/mL and a linear correlation coefficient(r)of 0.994(95%CI,0.933-1.055).The maximum coefficient of variation was 12.94%in repeated tests,showing good specificity.A comparative assessment of 305 clinical samples was conducted using the Brucella gradient-variant quantum dots detection method,the Rose Bengal plate agglutination test(RBT),and the serum agglutination test(SAT),yielding a Kappa value of 0.95,indicating almost perfect agreement.Additionally,a comparative assessment of 110 environmental samples collected on-site was conducted using the Brucella gradient-variant quantum dots detection method and quantitative real-time PCR(qPCR).The Kappa values for aerosol collection fluid,surface wipes,and wool samples were all above 0.83,demonstrating near-perfect agreement.For fecal and soil samples,the Kappa values were above 0.62,indicating substantial agreement.Conclusion The Brucella detection method based on gradient-variant quantum dots technology is simple and can be conducted rapidly.The detection method demonstrates high sensitivity,linearity,precision,and specificity.It shows consistent performance in clinical sample testing.It is well-suited for field rapid screening of natural epidemic diseases in field settings and shows good application prospects in the monitoring,prevention,and rapid detection of zoonotic diseases.

Objective: To investigate the molecular mechanism of NOD-like receptor(NLR) signaling pathway induced cellular focal death in mouse kidney tissues under plateau hypoxia based on transcriptomic sequencing technology. Methods: Animal models were constructed in high-altitude kidney test group(HKT group) and plain kidney control group(PKC group),and C57/BL6 mice were bred at an altitude of 4 200 m and 400 m,respectively.Kidney tissues were aseptically taken out after 30 d and used for observation of renal histopathological changes and transcriptomics sequencing,respectively,and then differentially expressed genes(DEGs) were enriched by KEGG and GO analysis.Key gene and protein expression levels were verified by reverse transcription quantitative polymerase chain reaction(RT-qPCR) and Western blot analysis. Results: Hematoxylin-eosin(HE) staining showed that the renal tubules of HKT mice were disorganized,and the tubular epithelial cells were edematous with inflammatory cell aggregation.Transcriptomics sequencing analysis revealed that a total of 3 007 DEGs were identified in the HKT group,and KEGG analysis showed that DEGs were significantly enriched in the NLR signaling pathway.The mRNA expression of the key differentially expressed genes,CASP1,CASP11,GSDMD,IFI16,NAIP5,IRF9,and the downstream inflammatory factors,IL-1β and IL-18,was upregulated,and protein expression of CASP1,CASP11,and GSDMD was up-regulated. Conclusion The plateau hypoxic environment induces cellular pyroptosis by regulating the expression of NLR signaling pathway and releases downstream inflammatory factors to cause inflammatory responses.

At present,the most of mainstream monitoring device for nocturnal penile erection adopts wired connection,and the volume of host is larger and the weight of that is heavier,which affect the wearing experience.This research developed a micro-wearable monitoring device for nocturnal penile erection on the basis of flexible pressure sensing technique.This device selected flexible material of stripe to carry the sensing module of capacitor and pressure(signal acquisition module),control module with Bluetooth transmission and power supply module.The design of software system adopted respectively the hardware program of device for signal acquisition of erection and assessment software of computer for erection function.Compared with the comprehensively diagnostic instrument RigiScan of mainstream for the function of penile erection,the volume of the prototype of this device only was 2.38%by RigiScan,and the weight of that only was 3.94%by RigiScan,and the power consumption of that only was 12.22%by RigiScan,which can realize monitoring of wireless and low tactile sensation.It has a series of characteristics included weak wearing sensation,small volume,lightweight and low-power consumption,which is contribute to enhance the wearing experience of monitored person,and eliminate psychological interference,and increase the accuracy of monitoring.

Objective To explore the value of clinical-MRI radiomics combined model for differentiating borderline ovarian tumor(BOT)from epithelial ovarian cancer(EOC).Methods Totally 139 patients with BOT(BOT group)and 307 patients with EOC(EOC group)confirmed by postoperative pathology and underwent preoperative pelvic MRI were retrospectively enrolled and randomly divided into training set(n=312)and test set(n=134)at a ratio of 7∶3.Multivariable logistic regression was used to identify independent clinical predictors for differentiating BOT and EOC,then a clinical model was constructed.Radiomics features were extracted from the volumes of interest(VOI)of lesions on T2WI,diffusion weighted imaging(DWI)and apparent diffusion coefficient(ADC)images,respectively,and single-sequence and multi-sequence MRI radiomics models were built using extreme gradient boosting(XGBoost)based on data in training set.The optimal MRI radiomics model was selected according to the highest area under the curve(AUC)in test set,and a clinical-MRI radiomics combined model was constructed combined the optimal radiomics model with independent clinical predictors.The performances of clinical model,the optimal MRI radiomics model and the combined model for differentiating BOT and EOC were compared in test set.SHapley Additive exPlanations(SHAP)analysis was applied to interpret key predictive features in the best model.Results Patients' age,carbohydrate antigen 153(CA153)and carbohydrate antigen 125(CA125)were all independent predictors for differentiating BOT and EOC(all P＜0.05).Multi-sequence MRI radiomics model was the optimal MRI radiomics model.The combined model showed superior performance(AUC=0.929)for discriminating BOT and EOC compared with clinical model(AUC=0.881)and multi-sequence MRI radiomics model(AUC=0.871)(both P＜0.05).SHAP beeswarm plot revealed that the top 10 important features of combined model included age,CA153 and CA125,as well as entropy,kurtosis and gray level non-uniformity from ADC and DWI sequences.Conclusion Clinical-MRI radiomics combined model based on multi-sequence MRI radiomics features and clinical features could be used to effectively differentiate BOT from EOC.

Objective To investigate the application of multi-perspective nursing guided by the MPNFS theory in lung cancer patients undergoing chemotherapy.Methods The clinical data of 80 lung cancer patients who underwent chemotherapy in No.971 Hospital of Navy from January 2021 to June 2023 were retrospectively analyzed.The patients were assigned to control group(n=43)and observation group(n=37).The control group received routine nursing interventions,and the observation group received multi-perspective nursing guided by the MPNFS theory in addition to routine nursing.Nutritional status(serum albumin,total protein,and prealbumin),psychological status(assessed by the state-trait anxiety inventory[STAI]),self-perceived burden(assessed by the self-perceived burden scale for cancer patients[SPBS-CP]),cancer-related fatigue(assessed by the Piper fatigue scale[PFS]),and quality of life(assessed by the functional assessment of cancer therapy-lung[FACT-L]scale)were compared between the two groups before and after nursing interventions.Results The serum albumin,total protein,and prealbumin in the observation group were significantly higher than those in the control group after intervention(all P<0.05).The scores of SPBS-CP,PFS and STAI were significantly decreased in the observation group after intervention(all P<0.05),while the scores of FACT-L scale were significantly increased(P<0.05).Conclusion Multi-perspective nursing guided by the MPNFS theory can effectively improve the nutritional status of lung cancer patients undergoing chemotherapy,enhance psychological well-being,reduce self-perceived burden and cancer-related fatigue,and elevate overall quality of life.