[Objective] To establish a new scoring system to predict the perioperative outcomes (operation time, intraoperative blood loss, and trifecta achievement) in patients undergoing robot-assisted partial nephrectomy (RAPN) by integrating the RENAL and Mayo adhesive probability (MAP) scores. [Methods] Clinical data of 178 patients with renal cell carcinoma who underwent RAPN performed by the same surgeon in our hospital during Jan.2015 and Jan.2022 were retrospectively analyzed.The RENAL and MAP scores of all patients were calculated.Linear regression and logistic regression were used to evaluate the associations between the components of the RENAL and MAP scores (a total of 6 variables) and perioperative outcomes.The factors with significant associations were then included into logistic regression analysis to identify independent predictors for constructing an assessment system for perioperative outcomes, and the receiver operating characteristic (ROC) curve was plotted to calculate the area under the curve (AUC) to predict its efficacy. [Results] Multivariate linear regression analysis showed that tumor size (β=6.14, 95%CI: 1.93—10.34, P=0.004), exophytic rate (β=10.60, 95%CI: 3.44—17.76, P=0.004), and perinephric fat thickness (β=16.48, 95%CI: 8.52—24.45, P<0.001) were significantly associated with operation time.Tumor size (β=10.55 95%CI: 5.60—15.49, P<0.001) was associated with both intraoperative blood loss and trifecta achievement (OR=1.73, 95%CI: 1.26—2.36, P=0.001). Multivariate logistic regression analysis of these 3 factors identified tumor size (OR=9.07, 95% CI: 1.18—69.45, P=0.03) and perinephric fat thickness (OR=2.28, 95%CI: 1.86—6.04, P=0.01) as independent predictors of perioperative outcomes.Based on these findings, the tumor size and perinephric fat thickness (RP) scoring was constructed, which demonstrated better predictive ability than RENAL score or MAP score alone (RP vs.RENAL vs.MAP: 0.766 vs.0.548 vs.0.684). [Conclusion] The RP score includes fewer variables than the RENAL and MAP scores but outperforms them.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

OBJECTIVE To provide reference for safe drug use in patients with anaplastic lymphoma kinase （ALK）-positive non-small cell lung cancer （NSCLC）. METHODS Clinical pharmacists participated in the diagnosis and treatment of a patient with ALK-positive NSCLC who developed bilateral pleural effusion and hemolytic anemia after taking alectinib； regarding symptoms such as pleural effusion and hemolytic anemia in the patient， clinical pharmacists investigated the patient’s history of medication and disease， as well as potential drug interaction； to consider the correlation between the patient’s use of alectinib and the duration of pleural effusion and hemolytic anemia， clinical pharmacists suggested that clinical doctors discontinued alectinib and used reduced dose treatment after the pleural effusion improved， but the patient suffered from bilateral pleural effusion and hemolytic anemia again； after evaluating the correlation between alectinib and bilateral pleural effusion and hemolytic anemia using the Naranjo’s assessment scale， clinical pharmacists recommend permanent discontinuation of alectinib and jointly recommend replacement with ensartinib with clinical physicians. RESULTS Physicians adopted the suggestions of clinical pharmacists. The pleural effusion subsequently regressed and hemolytic anemia improved after replacing the drug. The correlation between alectinib and bilateral pleural effusion and hemolytic anemia was confirmed. CONCLUSIONS Clinical pharmacists participate in pharmaceutical monitoring of ALK-positive NSCLC patients， assist clinical doctors in developing personalized medication recommendations， and ensure the safety of patient medication.

ObjectiveTo investigate the different effects of Yunvjian with or without Achyranthis Bidentatae Radix on glucose and lipid metabolism and inflammatory response in diabetic rats with the syndrome of Yin deficiency and internal heat. MethodThe rat model of diabetes due to Yin deficiency and internal heat was established by feeding with a high-sugar and high-fat diet and injection of thyroxine and streptozotocin. The successfully modeled rats were randomized into model control， Yunvjian without Achyranthis Bidentatae Radix （11.8 g·kg^-1）， Yunvjian with Achyranthis Bidentatae Radix （12.8 g·kg^-1）， and Achyranthis Bidentatae Radix （1.0 g·kg^-1） groups （n=10）， and another 10 rats were taken as the normal control group. Each group was administrated with corresponding drugs or saline by gavage for 28 days. The fasting blood glucose （FBG）， fasting insulin （FINS）， total cholesterol （TC）， triglycerides （TG）， low-density lipoprotein cholesterol （LDL-C）， and high-density lipoprotein cholesterol （HDL-C） in rats were measured. Enzyme-linked immunosorbent assay was employed to determine the levels of cyclic adenosine monophosphate （cAMP）， cyclic guanosine monophosphate （cGMP）， triiodothyronine （T₃）， thyroxine （T₄）， interleukin （IL）-1β， IL-6， tumor necrosis factor （TNF）-α， and C-reactive protein （CRP） in the serum. The histopathological changes of the liver were observed. The expression of lipoxygenase-2 （COX-2） was detected by immunofluorescence. The mRNA levels of nuclear transcription factors-κB （NF-κB）， monocyte chemotactic protein-1 （MCP-1）， and intercellular adhesion molecule-1 （ICAM-1） were determined by real-time polymerase chain reaction （Real-time PCR）.Western blot was employed to determine the protein levels of NF-κB in hibitory protein（IκB） kinase β （IKKβ）， IκBα， and phosphorylated IκBα （p-IκBα） in the liver and the protein levels of NF-κB in the cytoplasm and nucleus. ResultCompared with the normal group， the model group showed elevated levels of FBG， FINS， insulin resistance index， TC， TG， LDL-C， cAMP， T₃， T₄， IL-1β， IL-6， TNF-α， and CRP， up-regulated mRNA levels of NF-κB， MCP-1， and ICAM-1， and up-regulated protein levels of COX-2， p-IκBα， and nuclear NF-κB （P<0.01）. Compared with the model group， Yunvjian without Achyranthis Bidentatae Radix lowered the levels of FBG， FINS， insulin resistance index， TC， TG， LDL-C， cAMP， T₃， T₄， IL-1β， IL-6， TNF-α， and CRP， down-regulated the mRNA levels of NF-κB， MCP-1， and ICAM-1， and down-regulated the protein levels of COX-2， p-IκBα and nuclear NF-κB （P<0.05， P<0.01）. Compared with the Yunvjian without Achyranthis Bidentatae Radix， Yunvjian with Achyranthis Bidentatae Radix showed lowered levels of FBG， FINS， insulin resistance index， and inflammatory cytokines， down-regulated mRNA levels of NF-κB， MCP-1， and ICAM-1， and down-regulated protein levels of p-IκBα and nuclear NF-κB （P<0.05， P<0.01）. ConclusionAchyranthis Bidentatae Radix can enhance the performance of Yunvjian in reducing blood glucose and inhibiting inflammation in diabetic rats with the syndrome of yin deficiency and internal heat by down-regulating the IKK/IκB/NF-κB signaling pathway.

BACKGROUND:Studies have shown that cardiomyocyte apoptosis is closely related to cardiac decompensation and the cardiac aging process.Appropriate exercise can alter heart pump function in patients with heart failure as well as attenuate aging-induced cardiomyocyte apoptosis,hypertrophy,and fibrotic damage. OBJECTIVE:To investigate the effects of long-term aerobic exercise on cardiomyocyte apoptosis and the thioredoxin system in aging rats. METHODS:Thirty-six male Sprague-Dawley rats were selected and divided into three age groups:3-month-old young group,9-month-old middle-aged group,and 18-month-old elderly group,with 12 rats in each group.Within each age group,rats were randomly assigned to sedentary and exercise subgroups(n=6 per group).The sedentary groups did not undergo any exercise intervention.The exercise groups were acclimated to a treadmill environment and subsequently subjected to treadmill exercise for 45 minutes per day,at a speed of 15 m/min,5 days per week for 10 weeks in total.At 24 hours after the final intervention,ELISA was employed to measure serum levels of cardiac troponin I and creatine kinase-MB in rats.TUNEL assay was utilized to detect cardiomyocyte apoptosis,while western blot assay was employed to assess the protein expression of Bax,Bcl-2,Caspase 3,thioredoxin-1,thioredoxin-2,thioredoxin reductase-1,thioredoxin reductase-2,thioredoxin-interacting protein,apoptosis signal-regulating kinase 1,and P38 mitogen-activated protein kinase in rat myocardial tissue. RESULTS AND CONCLUSION:Serum levels of cardiac troponin I and creatine kinase-MB in the elderly sedentary group were significantly higher than those in the young and middle-aged sedentary groups and elderly exercise group(P<0.01).Serum levels of cardiac troponin I and creatine kinase-MB in the elderly sedentary group were significantly higher than those in the young and middle-aged exercise groups and elderly exercise group(P<0.01).Positive apoptotic cells in rat myocardial tissue,along with increased protein expression of Bax and Caspase 3,exhibited an age-related upward trend,while Bcl-2 protein expression showed a declining trend.In comparison with the sedentary groups within each age category,the number of apoptotic cardiomyocytes and the expression of Bax and Caspase 3 proteins were reduced to different degrees,and the expression of Bcl-2 protein was increased to different degrees in the corresponding exercise groups.Compared with the young sedentary group,middle-aged sedentary group and elderly exercise group,elderly sedentary rats showed a significant decrease in the expression of myocardial thioredoxin 1,thioredoxin 2,thioredoxin reductase 1,and thioredoxin reductase 2 proteins(P<0.05,P<0.01).The expression of myocardial thioredoxin 1,thioredoxin 2,and thioredoxin reductase 2 proteins was lower in the elderly exercise group than in the young exercise group(P<0.05,P<0.01),while the expression of thioredoxin reductase 1 and thioredoxin reductase 2 proteins was lower in the elderly exercise group than in the middle-aged exercise group(P<0.01).The protein expression of thioredoxin-interacting protein,apoptosis signal-regulating kinase 1,and P38 mitogen-activated protein kinase in rat myocardium was significantly higher in the elderly sedentary group than the young sedentary group,middle-aged sedentary group and elderly exercise group(P<0.01).The protein expression of thioredoxin-interacting protein,apoptosis signal-regulating kinase 1,and P38 mitogen-activated protein kinase in rat myocardium was significantly higher in the elderly exercise group than the young exercise group and middle-aged exercise group(P<0.01).To conclude,aerobic exercise may enhance the anti-apoptotic effects of thioredoxin by down-regulating the expression of thioredoxin-interacting protein in aging rat hearts,leading to the downregulation of apoptosis signal-regulated kinase 1 and P38 mitogen-activated kinase protein,thereby alleviating myocardial cell apoptosis in aging rat hearts.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Objective To evaluate the safety,tolerability and pharmacokinetic profiles of naldemedine in Chinese healthy adult subjects after single and multiple administrations.Methods After single and multiple oral administrations of naldemedine to 10 healthy Chinese subjects,the plasma concentrations of naldemedine and its metabolite(nor-naldemedine)were measured by liquid chromatography-mass spectrometry,and the pharmacokinetic parameters were calculated by Phoenix WinNonlin 8.3.1 software.Results Compared with single administration,naldemedine showed no significant change in the tmax(1.06 h for single and 1.08 h for multiple)and Cmax(4.16 ng·mL-1 for single and 4.11 ng·mL-1 for multiple),higher AUC0-τ than that of single(23.88 ng·h·mL-1 for single and 28.93 ng·h·mL-1 for multiple),slightly prolonged t1/2(9.26 h for single,12.50 h for multiple),there was a slight drug accumulation after multiple doses(accumulation ratio of 0.99 for Cmax and 1.22 for AUC);t1/2(18.10 h for single,29.30 h for multiple),Cmax(0.19 ng·mL-1 for single,0.38 ng·mL-1 for multiple),and AUC0-τ(3.13 ng·h·mL-1 for single,6.02 ng·h·mL-1 for multiple)were all significantly elevated with nor-naldemedine,and the tmax(single was 3.49 h and multiple was 3.56 h)did not change significantly.The Cmax ratio and AUC ratio of metabolites to naldemedine were significantly elevated,and accumulation was present after multiple administrations(accumulation ratio of 2.01 for Cmax and 1.95 for AUC).All adverse events that occurred after treatment were mild.Conclusion After multiple oral administrations of 0.2 mg naldemedine tablets to Chinese healthy subjects(single dose on day 1 and once daily on days 4-13),the drug was eliminated rapidly with mild accumulation,and reached a steady state before the second dose of the multiple-dosing phase,and the product has a favorable safety and tolerability profiles.

AIM To investigate the variation rules of main secondary metabolites in Hedysari Radix before and after rubbing strip.METHODS UPLC-MS/MS was adopted in the content determination of formononetin,ononin,calycosin,calycosin-7-glucoside,medicarpin,genistein,luteolin,liquiritigenin,isoliquiritigenin,vanillic acid,ferulic acid,γ-aminobutyric acid,adenosine and betaine,after which cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were used for chemical pattern recognition to explore differential components.RESULTS After rubbing strip,formononetin,calycosin,liquiritigenin and γ-aminobutynic acid demonstrated increased contents,along with decreased contents of ononin,calycosin-7-glucoside and vanillic acid.The samples with and without rubbing strip were clustered into two types,calycosin-7-glucoside,formononetin,γ-aminobutynic acid,vanillic acid,calycosin-7-glucoside and formononetin were differential components.CONCLUSION This experiment clarifies the differences of chemical constituents in Hedysari Radix before and after rubbing strip,which can provide a reference for the research on rubbing strip mechanism of other medicinal materials.

The acupoint sensitization theory,a breakthrough in acupuncture and moxibustion over the past two decades,has greatly enhanced the understanding of meridians and acupoints while increasing the effectiveness of clinical diagnosis and treatment in acupuncture and moxibustion practices.The number of studies on surface sensitization site detection for different diseases is increasing.However,systematic sorting and a summary of the detection mode of surface sensitization points are lacking.Therefore,this study categorizes the method of surface sensitization point detection into two modes:pan-scanning and focused scanning.The classification is based on the characteristics of the openness of the research purpose,the precision of the target range,and the degree of variation during detection.The two modes have considerable differences in the exploration efficiency and the presentation of result.The pan-scanning mode can be further subdivided into holistic and localized pan-scanning modes,whereas the focused-scanning mode can be subdivided into fixed-and variable-focused scanning modes.This study analyzes the application scenarios,characteristics,advantages,and limitations of each detection mode and presents opinions on mode selection,mode innovation,and future development directions.This study aims to provide valuable insights and guidance for the follow-up research on surface sensitization site detection of various diseases.