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.

ObjectiveTo study the plasma pharmacokinetics and tissue distribution of five representative components in Wujiwan， and to illustrate the difference of metabolism and tissue distribution before and after compatibility. MethodHealthy male SD rats were divided into four groups， including Wujiwan group（A group， 62.96 g·L^-1）， Coptidis Rhizoma group（B group， 38.4 g·L^-1）， processed Euodiae Fructus group（C group， 5.88 g·L^-1） and fried Paeoniae Radix Alba group（D group， 18.68 g·L^-1）， with 65 rats in each group， and were administered the drugs according to the clinical dose of decoction pieces converted into the dose of the extracts. Then plasma， liver， small intestine and brain were taken at pharmacokinetic set time in each group after administration. Ultra-high performance liquid chromatography-triple quadrupole tandem mass spectrometry was developed for the quantitative analysis of five representative components［berberine（Ber）， palmatine（Pal）， evodiamine（Evo）， rutecarpine（Rut） and paeoniflorin（Pae）］ in Wujiwan， their concentrations in plasma， liver， small intestine and brain were detected at different time， plasma samples were processed by protein precipitation， and tissue samples were pretreated by protein precipitation plus liquid-liquid extraction. Non-atrioventricular model was used to calculate the pharmacokinetic parameters of each component， and the parameters of each group were compared. ResultPharmacokinetic results of A group showed that area under the curve（AUC_0-t） of the five representative components were ranked as follows：Ber and Pal were small intestine>liver>blood， Evo and Rut were liver>small intestine>plasma， Pae was small intestine>plasma， which was not detected in the liver， no other components were detected in brain except for Ber. In comparison with plasma and other tissues， peak concentration（C_max） of Ber， Pal， Evo， and Rut were the highest and time to peak（t_max） were the lowest in the liver of A group. In plasma， the AUC_0-t and C_max of Evo and Rut were increased in A group compared with C group， t_max of Pea was elevated and its C_max was decreased in A group compared with D group. In the liver， compared with B-D groups， C_max values of 5 representative components except Pae were elevated， AUC_0-t of Pae was decreased and AUC_0-t of Evo and Rut were increased in the A group. In the small intestine， half-life（t_1/2） of each representative components in A group was elevated and t_max was decreased， and C_max of each representative ingredient except Pal was decreased， AUC_0-t values of Ber and Pal were increased， whereas the AUC_0-t values of Evo and Rut were decreased. ConclusionThe small intestine， as the effector organ， is the most distributed， followed by the liver. The pharmacokinetic parameters of the representative components in Wujiwan are changed before and after compatibility， which is more favorable to the exertion of its pharmacodynamic effects.

Osteoarthritis （OA） is a common degenerative joint disease with a rising incidence rate year by year. Treatment often relies on analgesics and non-steroidal anti-inflammatory drugs （NSAIDs）， which can lead to gastrointestinal damage with long-term use and the recurrence of symptoms. Chinese medicine has a long history of preventing and treating OA， with widespread application and fewer side effects. It offers unique advantages such as a broad treatment scope， multiple targets， and pathways. The effective components of Chinese medicine can reduce the content of reactive oxygen species （ROS）， relieve oxidative stress （OS） damage， and increase the antioxidant capacity of the body by interfering with the expression of biomarkers of OS response such as malondialdehyde （MDA） and superoxide dismutase （SOD）. Through the modulation of signaling pathways such as nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1）， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）， nuclear factor kappa B （NF-κB）， c-Jun N-terminal kinase （JNK）， NOD-like receptor protein 3 （NLRP3）， and osteoprotegerin （OPG）， they downregulated the expression of inflammatory factors such as interleukin-6 （IL-6）， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α）， thereby effectively relieving local joint inflammation， protecting chondrocytes and bone tissue， inhibiting chondrocyte apoptosis， and further alleviating the progression of OA. Currently， there are still certain limitations in the medical research status and development trends of OA， necessitating the continued advancement of traditional Chinese medicine. This paper reviewed the literature on the regulation of OS response by effective components of Chinese medicine for the prevention and treatment of OA， providing new directions and ideas for future research.

Objective To investigate the effect of rats'injuries and its mechanism caused by specific dose of radiation combined with decompression exposure.Methods 81 male SD rats were randomly divided into control group(n=9),radiation group(n=18),radiation+low-load decompression group(n=18),radiation+medium-load decompression group(n=18),and radiation+high-load decompression group(n=18).In addition to control group,the rats were irradiated with 60Co γ rays at 4 Gy and then underwent rapid escape experiments.The high-pressure exposure schemes were to stay underwater 57 m for 30 min,45 min or 60 min and reduce to normal pressure within(30±5)s,respectively.The high-pressure exposure was not carried out in radiation group.The behavior and death of rats in each group were observed 0.5 h after leaving the cabin.Blood(abdominal aorta)and lung tissues were collected at 3 h and 72 h,respectively.The changes of lung wet-dry weight ratio(W/D),lung pathology and serum levels of interleukin(IL)-1β,IL-6,tumor necrosis factor-α(TNF-α),superoxide dismutase(SOD),malondialdehyde(MDA),nitric oxide(NO),intercellular adhesion molecule-1(ICAM-1)and thromboxane B2(TXB2)were analyzed.Results Compared with control group and radiation group,radiation+low-load decompression group showed no significant difference in the injury and death rate of rats(P＞0.05),while radiation+medium-load decompression group and radiation+high-load decompression group showed significantly increase of the injury and death rate of rats(P＜0.05).Compared with control group,other groups showed no significant change in pulmonary W/D at 3 h(P＞0.05),and increased at 72 h(P＜0.05).HE staining showed that compared with control group,radiation group showed mild lung interstitial edema,while radiation+low-load decompression group showed obvious pulmonary tissue edema and a small number of red blood cells exudated in the alveolar cavity.The edema,congestion and inflammatory cell infiltration of lung tissue were more serious in radiation+medium-load decompression group and radiation+high-load decompression group.Compared with control group and radiation group,all radiation+decompression groups showed an increase in serum levels of IL-1β,IL-6,TNF-α,MDA,NO,ICAM-1 and TXB2(P＜0.05),and a decrease in SOD activity(P＜0.05).Compared with radiation+low-load decompression group,radiation+medium-load decompression group and radiation+high-load decompression group showed increase in serum levels of IL-1β,IL-6,MDA,ICAM-1 and TXB2(P＜0.05),and decrease in activity of SOD(P＜0.05).Except for control group,serum levels of IL-1β,IL-6,TNF-α,MDA,NO,ICAM-1 and TXB2 were decreased at 72 h compared with 3 h(P＜0.05),and SOD activity was increased at 72 h in all groups(P＜0.05).Conclusions High-load decompression can increase the injury and death rate of rats exposed to radiation and high pressure.The potential mechanism of the combined injury effect of radiation and decompression was related to inflammation,immune stress,oxidative damage,vasomotor activity and coagulation mechanism.

Objective To investigate the effect of Colchicine on the prognosis of acute myocardial infarction(MI)in rats.Methods A total of 40male Sprague Dawley rats were randomly divided into 4groups:Sham operation group,MI+BLS(blank solvent)group,MI+Colchicine treatment group(MI+col/i.g),and MI+Colchicine intramyocardial injection(MI+col/i.m)group,with 10 rats in each group.We euthanized the rats 28days after modeling,recorded the rats'body weight and death,collected echocardiography,detec-ted the levels of serum inflammatory factors,liver and kidney functions by enzyme-linked immunosorbent assay(ELISA),stained the cardiac tissue samples by Masson,and analyzed the degree of myocardial fibrosis under Optical microscope.Results The survival rate within 28days after MI was not significantly improved by Colchicine.Compared with the model group,both Colchicine intragastric adminis-tration and intramyocardial injection could significantly reduce the serum inflammatory factors(P＜0.05),inhibit the myocardial fibrosis,and improve the cardiac function of the rats after MI(P＜0.001).The liver and kidney functions were not damaged in the Colchicine and intramyocardial injection groups,and the intramyocardial injection group could effectively alleviate the weight loss induced by systemic ad-ministration(P＜0.001).Conclusion Colchicine is safe and feasible in the treatment of MI in rats,it can significantly improve the car-diac function of rats after MI,and intramyocardial injection can effectively and significantly increase the tolerance of colchicine.

Objective To explore the efficacy of T-cell spot test of tuberculosis infection(T-SPOT.TB)in the differential diagnosis of spinal tuberculosis(STB),and optimize diagnostic efficacy through the optimal cut-off value of receiver operating characteristic(ROC)curve.Methods Clinical data of patients with spinal infection in a hospi-tal from January 2010 to May 2019 were collected,including preoperative T-SPOT.TB test results,white blood cell count,C-reactive protein,erythrocyte sedimentation rate,procalcitonin,and tuberculosis antibodies,etal.Clinical diagnosis was conducted based on diagnostic criteria.The sensitivity and specificity of T-SPOT.TB in preoperative diagnosis of STB and other spinal infection was analyzed,and the diagnostic efficacy of the optimized T-SPOT.TB indicators was evaluated.Results A total of 132 patients were included in this study,out of whom 78 patients(59.09％)were diagnosed with STB,and 54(40.91％)were diagnosed with non-tuberculosis(non-TB)spinal in-fection.The sensitivity and specificity of T-SPOT.TB in differential diagnosis of STB were 67.68％and 66.67％,respectively.Univariate logistic regression analysis showed that compared with non-TB spinal infection,the OR va-lue of T-SPOT.TB test in diagnosing STB was 4.188(95％CI:1.847-9.974,P＜0.001).The optimized T-SPOT.TB evaluation index through ROC curve to determine the optimal cut-off values of ESAT-6,CFP-10,and CFP-10+ESAT-6 for differential diagnosis of STB and non-TB spinal infection were 12.5,19.5,and 36,respec-tively,and area under curve(AUC)values were 0.765 6,0.741 5,and 0.778 6,respectively,all with good diag-nostic efficacy.CFP-10+ESAT-6 had the highest AUC.CFP-10+ESAT-6 specific spot count had higher efficacy in the diagnosis of STB,with a diagnostic accuracy of 75.56％,higher than 67.42％of pre-optimized T-SPOT.TB.Conclusion T-SPOT.TB test has high diagnostic efficacy in differentiating STB from non-TB spinal infection.Posi-tivity in T-SPOT.TB test,especially with spot count of CFP-10+ESAT-6 over 36,indicates a higher likelihood of STB.

AIM To establish a quantitative analysis of multi-components by single-marker(QAMS)method for the simultaneous content determination of gastrodin,parishin E,syringin,parishin B,parishin C,ferulic acid,parishin A,buddleoside,harpagoside and cinnamic acid in Tianma Toufengling Capsules.METHODS The analysis was performed on a 30℃thermostatic GL Science InertsilTM ODS-3 column(150 mm×4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1%phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 220,280 nm.Syringin was used as an internal standard to calculate the relative correction factors of the other nine constituents,after which the content determination was made.RESULTS Ten constituents showed good linear relationships within their own ranges(r≥0.999 7),whose average recoveries were 98.53%-102.22%with the RSDs of 1.26%-2.68%.The result obtained by QAMS approximated those obtained by external standard method.CONCLUSION This accurate and specific method can be used for the quality control of Tianma Toufengling Capsules.

ObjectiveAngle-closure glaucoma (ACG) is one of the major eye-blinding diseases. To diagnose ACG, it is crucial to examine the anterior chamber angle. Current diagnostic tools include slit lamp gonioscopy, water gonioscopy, ultrasound biomicroscopy (UBM), and anterior segment optical coherence tomography (AS-OCT). Slit lamp and water gonioscopy allow convenient observation of the anterior chamber angle, but pose risks of invasive operation and eye infections. UBM can accurately measure the structure of the anterior chamber angle. However, it is complex to operate and unsuitable for patients, who have undergone trauma or ocular surgery. Although AS-OCT provides detailed images, it is costly. The aim of this study is to explore a non-invasive, non-destructive optical reflection tomography (ORT) technique. This technique can achieve low-cost three-dimensional imaging and full-field anterior chamber angle measurement of the porcine eye. MethodsThe experiment involved assembling an optical reflection tomography system, which included a complementary metal oxide semiconductor (CMOS) camera, a telecentric system, a stepper motor, and a white light source, achieving a spatial resolution of approximately 8.5 μm. The process required positioning the porcine eye at the center of the field of the imaging system and rotating it around its central axis using a stepper motor. Reflection projection images were captured at each angle with an exposure time of 1.0 ms and an interval of 2°. The collected reflection-projection data were processed using a filtered reflection tomography algorithm, generating a series of two-dimensional slice data. These slices essentially represented cross-sectional views of the three-dimensional structural image, and were reconstructed into a complete three-dimensional structural image. Based on the reconstructed three-dimensional structural image of the porcine eye, the anterior chamber angles at different positions were measured, and a distribution map of these angles was drawn. Simultaneously, the ORT measurements were compared with the standard results obtained from optical coherence tomography (OCT) to assess the accuracy of ORT measurements. ResultsIn this study, we successfully obtained the reflection projection data of a porcine eye using ORT technology, reconstructed its three-dimensional structural image, and measured the anterior chamber angle, generating the corresponding distribution map. To better distinguish the different structural parts of porcine eye, the three-dimensional structural image was marked with blue, green, and yellow dashed lines from the outer to the inner layers. The area between the blue and green dashed lines corresponded to the sclera. The area between the green and yellow dashed lines corresponded to the iris. The area inside the yellow dashed line corresponded to the pupil. The three-dimensional structural image clearly revealed the key anatomical features of the porcine eye. It was able to measure the anterior chamber angle at different positions. Additionally, the anterior chamber angle measurements of the porcine eye using ORT were compared with the measurements obtained using a TEL320C1 type OCT system, showing an average deviation of 0.51° and a mean square error MSE of 0.317. ConclusionORT is a non-invasive, non-destructive, low-cost, and high-resolution imaging technique capable of achieving three-dimensional structural imaging and full-field anterior chamber angle measurement of a porcine eye. This technology offers a new perspective for the diagnosis of angle-closure glaucoma and is significant for the screening, diagnosis, and monitoring of eye diseases, potentially benefiting clinics and small hospitals in remote areas 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.

Drugs under special management include narcotic drugs,psychotropic drugs,toxic drugs for medical use,radiopharmaceuticals,and pharmaceutical precursor chemicals.Supervising and guiding the clinical use of drugs under special management is one of the important responsibilities of the Pharmaceutical Management and Drug Therapy Committee(Group)of medical institutions.The standard for drugs under special management is led by the Pharmaceutical Professional Committee of the China Hospital Association,which standardizes 16 key elements of organizational management,process management,and quality control management drugs under special management in medical institutions.It can guide the standardized implementation of Pharmaceuticals under special control work in various levels and types of medical institutions.This article elaborates on the methods and contents of formulating standards for Pharmaceuticals under special management,to provide reference and inspiration for medical institutions to carry out special drug drug management and daily related work.