Background: Chinese herbal pieces are an essential component of traditional Chinese medicine. Accurate identification and classification of these materials are crucial in clinical practice. Objective: This study aims to enhance the recognition efficiency of Chinese herbal pieces using deep learning technology, while addressing the limitations of traditional manual classification methods in terms of both quality and efficiency. Methods: A comprehensive dataset containing 201 types of Chinese herbal pieces was established. Based on Real-time Detection Transformer (RT-DETR), we designed and integrated a Feature-focused Diffusion Network (FDN), resulting in an improved model termed RT-DETR-FDN. The proposed FDN includes a Feature-focus Module and a feature diffusion mechanism, enabling the model to capture more extensive feature information from Chinese herbal pieces and diffuse it across multiple detection scales. Results: Experimental results show that RT-DETR-FDN achieved a precision of 0.925, a recall of 0.943, and an mAP50-95 of 0.851. In addition, the model was compared with representative You Only Look Once series models commonly used in object detection. Compared with these models, RT-DETR-FDN achieved higher recognition accuracy while maintaining a lightweight architecture. Conclusion: This study integrates deep learning with traditional Chinese medicine, providing a more effective solution for the recognition of Chinese herbal pieces.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Objective To investigate the correlation between serum levels of microRNA(miR)-489-3p and miR-214-3p in patients with Psoriasis and the severity of disease.Methods From March 2022 to January 2024,138 Psoriasis patients who visited Zhangjiakou First Hospital were regarded as the study subjects(disease group).According to the psoriasis area and severity index(PASI)score,the 138 Psoriasis patients were separated into mild group(n=46),moderate group(n=54)and severe group(n=38).112 healthy individuals who underwent physical examinations in Zhangjiakou First Hospital during the same period were included in the control group.Real-time fluorescence quantitative PCR(RT-qPCR)method was applied to determine the serum levels of miR-489-3p and miR-214-3p in the subjects.The serum levels of miR-489-3p and miR-214-3p were compared between the disease group and the control group,and among patients with different degrees of disease.Spearman correlation analysis was applied to explore the relationship between serum miR-489-3p,miR-214-3p levels and disease severity in Psoriasis patients.Logistic regression analysis was performed to analyze the related factors affecting the severity of Psoriasis.Receiver operating characteristic(ROC)curve was applied to investigate the diagnostic value of serum miR-489-3p and miR-214-3p levels for severe Psoriasis.Results The serum levels of miR-489-3p(0.81±0.23)and miR-214-3p(0.79±0.22)in the disease group were lower than those in the control group(1.05±0.28,1.02±0.25),and the differences were statistically significant(t=7.441,7.732,all P<0.05).Serum miR-489-3p in mild,moderate and severe Psoriasis groups(0.93±0.24,0.80±0.23,0.69±0.22),miR-214-3p levels(0.91±0.24,0.77±0.22,0.66±0.21)decreased gradually,and the differences were statistically significant(F=12.423,13.168,all P<0.05).Spearman's results showed that serum levels of miR-489-3p and miR-214-3p were negatively correlated with the severity of Psoriasis in patients(r=-0.490,-0.463,all P<0.05).Serum miR-489-3p and miR-214-3p were independent protective factors for the severity of Psoriasis patients(Wald χ2=5.751,8.753,all P<0.05).ROC curve results showed that the area under the curve(AUC)of serum miR-489-3p and miR-214-3p for diagnosing severe Psoriasis alone was 0.785 and 0.792,with sensitivity of 78.9%and 73.7%,specificity of 49.9%and 54.7%,respectively.The AUC of the combined diagnosis for severe Psoriasis was 0.931,the sensitivity and specificity were 71.7%,71.1%,respectively,and the combined diagnostic efficacy of the two was better than that of miR-489-3p and miR-214-3p alone,and the differences were statistically significant(Z=3.018,2.773,all P<0.05).Conclusion The serum levels of miR-489-3p and miR-214-3p in patients with Psoriasis are both reduced,and both are negatively correlated with the severity of the disease in Psoriasis patients.The combined determination of the two has high efficacy in the diagnosis of severe Psoriasis.

Objective To explore the effect of remote ischemic conditioning(RIC)combined with binaural beat music(BBM)train-ing in patients with cognitive dysfunction after cerebral infarction.Methods From June,2024 to January,2025,200 patients with cognitive dysfunction after cerebral infarction in the Affil-iated Hospital of North China University of Science and Technology were randomly divided into control group(n=50),RIC group(n=50),BBM group(n=50)and combined group(n=50).All the groups received stan-dardized routine training,RIC group received RIC,BBM group received BBM,and the combined group received RIC+BBM,for 14 days.They were assessed with Montreal Cognitive Assessment(MoCA)and Stroke-Specific Quality of Life Scale(SS-QOL)at baseline,day 14,and day 90.Results Two cases in the control group,four in RIC group,three in BBM group and three in the combined group dropped out.For MoCA scores,the inter-group effect,intra-group effect and interaction effect were all significant(F>13.463,P<0.001).After intervention,on both day 14 and day 90,the score of MoCA was higher in each in-tervention group than in the control group(P<0.05),and was higher in the combined group than in both BBM and RIC groups(P<0.05);and on day 90,it was higher in RIC group than in BBM group(P<0.05).For SS-QOL,the score increased with time in all the groups(χ2>75.182,P<0.001).After intervention,there was signif-icant difference at each time point among four groups(H>18.260,P<0.001).On day 14 and day 90,the score of SS-QOL was higher in the combined group than in the control and BBM groups(|Z|>3.149,P<0.05);on day 90,the score was higher in RIC group than in the control group(|Z|=3.590,P<0.05),and it was higher in the combined group than in RIC group(|Z|=3.186,P<0.05).Conclusion RIC,BBM and their combination all improved cognitive function after cerebral infarction.RIC was superior to BBM,and the combined intervention yielded the greatest benefit.Both RIC and the combined intervention im-proved quality of life,with the combined approach being the most effective.

Aim To investigate the protective effect of liraglutide(LIRA)on acetaminophen(APAP)-in-duced hepatotoxicity at the in vivo level and to reveal the underlying mechanism.Methods Forty SPF grade male C57BL/6J mice were randomly divided into the Control,LIRA(200 μg·kg-1),APAP(500 mg·kg-1),LIRA+APAP,LIRA+APAP+3-methylade-nine(3-MA,30 mg·kg-1)groups,with eight mice in each group.The mice were administered for three con-secutive days,and the materials were taken after 24 h.The general condition and body weight of mice in each group were recorded,and liver morphology was ob-served.Serum ALT and AST levels,as well as SOD ac-tivity,MDA,and GSH content in liver homogenates,were measured using biochemical assay kits.The levels of inflammatory cytokines IL-6,TNF-α,and IL-1β in serum were detected by ELISA.Liver pathological changes were assessed by HE staining,while mitochon-drial and autophagosome structures in liver tissues were observed using transmission electron microscopy.The number of PCNA-positive cells in liver tissues was e-valuated using immunohistochemical staining.The pro-tein expression levels of LC3Ⅱ,p62,Bax,Bcl-2,PC-NA,and CyclinD1 in liver tissues were determined by Western blot.Results LIRA pretreatment can im-prove the general condition of mice with acetamino-phen-induced liver injury(AILI),reduce serum ALT and AST levels,and effectively ameliorate the appear-ance and morphology of the liver as well as the patho-logical damage to liver tissue.Simultaneously,the lev-els of inflammatory cytokines IL-6,TNF-α,and IL-1βare significantly decreased;SOD activity and GSH con-tent are significantly increased,while MDA content is significantly reduced.Transmission electron microsco-py observations reveal the presence of numerous auto-phagosomes in the cytoplasm of liver tissue.Immuno-histochemical staining results indicate a significant in-crease in the number of PCNA-positive cells.Further-more,the expression of LC3Ⅱ,Bcl-2,PCNA,and Cy-clinD1 proteins in liver tissue is significantly upregulat-ed,while the expression of p62 and Bax proteins is significantly downregulated.However,after interven-tion with the autophagy inhibitor 3-MA,the aforemen-tioned protective effects of LIRA are significantly.Conclusions LIRA pretreatment can significantly im-prove liver injury in AILI mice.Its protective mecha-nism may be related to enhancing autophagy in hepato-cytes,thereby reducing oxidative stress,inflammatory response and apoptosis in liver of AILI mice.

Objective To explore the imaging data and pathological factors affecting the postoperative recurrence of solitary fibrous tumor(SFT)of the central nervous system.Methods A retrospective analysis was conducted on the data of 40 patients with SFT confirmed by pathology.All patients were divided into recurrence group(n=12)and non-recurrence group(n=28)based on the follow-up results.Univariate analysis and Cox proportional hazards model were used to screen the risk factors of recurrence,and the Kaplan-Meier method was used to compare the recurrence-free survival(RFS)among different groups.Results Univariate analysis showed that the Ki-67 index in the recurrence group was significantly higher than that in the non-recurrence group(median 38.5%vs 10.0%,P<0.001),and the proportion of WHO grade 3 was higher than that in the non-recurrence group(66.67%vs 7.14%,P<0.001).MRI features were significantly associated with recurrence,including the maximum diameter of the tumor[(6.63±1.10)cm vs(4.16±1.64)cm,P<0.001],peritumoral edema(91.67%vs 28.57%,P<0.001),and midline structure shift(83.33%vs 17.86%,P<0.001).Multivariate analysis suggested that the risk of recurrence increased by 122%for each 1 cm increase in the maximum diameter of the tumor[hazard ratio(HR)=2.22,95%confidence interval(CI)1.33-3.72],and by 27%for each 1%increase in the Ki-67 index(HR=1.27,95%CI 1.02-1.61),respectively.Conclusion MRI features such as maximum diameter of the tumor,significant peritumoral edema,and midline structure shift should be alert to high recurrence risk,and with pathological grading and Ki-67 index,it can provide significant basis for prognosis evaluation.

Aim To investigate the effect of neogam-bogic acid(NGA)on inducing ferroptosis in osteosar-coma K7M2 cells and subcutaneous transplanted tumor mice and explore the underlying mechanism.Methods MTT assay was employed to detect the effect of NGA(1,2,4,8,16,32,64,128 μmol·L-1)on cell prolif-eration,and the IC50 value was calculated.Calcein AM assay was used to detect cell viability.Transwell was applied to detect cell invasion.TEM was utilized to ob-serve the mitochondria morphology.K7M2 cells were subjected to treat with ferroptosis inducers erastin(Era)and inhibitors ferrostatin-1(Fer-1)to assess the levels of MDA,GSH,Fe2+,and LDH.RT-qPCR and Western blot were used to detect the mRNA and protein expression of STAT3,GPX4,and SLC7A11.A transplanted tumor model was established and treated with NGA to assess the impact of it on tumor growth and ferroptosis in vivo.HE staining was applied to ana-lyze the pathological status of tumor tissues.Nile red fluorescence staining was applied to detect the level of lipid components in tumor tissues.Results The pro-liferation,viability and invasion ability of K7M2 cells were significantly reduced after treatment with NGA at different concentrations(P＜0.05),and typical fea-tures of ferroptosis such as decreased mitochondrial vol-ume and reduced mitochondrial spine were observed.Compared to the control,the expression of MDA,Fe2+and LDH significantly increased(P＜0.01),while the content of GSH significantly decreased(P＜0.01).The ferroptosis in osteosarcoma was enhanced by the erastin,while inhibited by ferrostatin-1.In terms of mechanism,NGA inhibited the mRNA and protein ex-pression levels of STAT3,GPX4 and SLC7A11(P＜0.05).In vivo experiments confirmed that NGA signif-icantly improved the pathological state of tumor tissues,inhibited tumor growth,and induced ferroptosis in os-teosarcoma tissue cells.Conclusion NGA induces ferroptosis in osteosarcoma cells both in vitro and in vi-vo by inhibiting the STAT3/GPX4/SLC7A11 signaling axis,thereby exerting an anti-osteosarcoma effect.

Immunoinflammation mediates the development of hypertensive nephropathy,and aberrant activation of the complement system,an important component of the innate immune system,plays an important role in the development of hypertensive nephropathy.Complement inhibition is expected to be a potential strategy for the treatment of hypertensive nephropathy.In this article,we summarized and reviewed relevant studies on the complement system in the development of hypertensive nephropathy,and complement-targeted drug therapy,aiming to provide new ideas for clinicians on the clinical diagnosis and treatment of hypertensive nephropathy.

A sandglass ladder residual network(SLRN)is proposed for multi-label chest X-ray classification,thereby improving the accuracy of clinical diagnosis.SLRN consists of 3 key modules:(1)a sandglass convolutional module to simultaneously extract inter-channel and spatial information;(2)a ladder self attention block to achieve different window divisions through shift operations,expand the receptive field,and realize multi-scale feature extraction and fusion;(3)class specific residual attention in the multi-label classification stage to capture the correlation between different labels and the importance of features for accomplishing more accurate classification by adjusting the weights of different features.The proposed model is validated using the IU X-Ray dataset collected by Indiana University and the publicly available Chest X-Ray14 dataset collected by the National Institutes of Health in the United States;and the results demonstrate that SLRN which combines the advantages of convolutional neural network and vision transformer enables the capture of local features and global correlations in images,better handles long-distance dependencies,and assists doctors in clinical diagnosis.

This study summarizes the preoperative and intraoperative nursing experience in 5 cases of bridge-to-transplant heart transplantation with left ventricular assist device(LVAD)explant.Key points of nursing include:preoperative care and assessment of LVAD patients,preoperative discussion of the multidisciplinary team,safe transfer of patients to surgical rooms and other preoperative preparation,cardiomyocardial protection and multidisciplinary team cooperation during bridging transplantation,and intra-operative patient safety management.All 5 patients in this group successfully completed the surgery and were discharged.Pressure sores,wound infections,and other postoperative complications have not occurred.Postoperative cardiac function of 5 patients in this group were classified as New York Heart Association class Ⅰ～Ⅱ.The follow-up period for the 5 patients in this group ranged from 6 months to 6 years.The results of the most recent echocardiography follow-up showed that the left ventricular ejection fraction of all patients was all above 65％,with well prognosis.