Objective To explore a method for rapid and differential diagnosis of rejection after kidney transplantation through urine hyperspectral imaging technology. Methods Hyperspectral data information from urine samples of 118 recipients after kidney transplantation was collected, and a deep learning model was constructed to diagnose and classify the types of rejection. Results A deep learning diagnostic model based on the 34-layer residual network (ResNet-34) was constructed, and 118 patients were included and divided into the training set and the test set. Based on the pathological results of the transplanted kidney puncture, the urine samples of the patients were classified into five groups: the non-rejection group, the T-cell-mediated rejection group, the antibody-mediated rejection group, the mixed rejection group and the nephropathy recurrence group. The results showed that the diagnostic sensitivities of the model for the above five groups were 0.960, 0.980, 0.930, 0.940 and 0.943 respectively, and the diagnostic specificities were 0.983, 0.993, 0.997, 0.989 and 0.989 respectively. The overall diagnostic accuracy rate reached 95.7%. Conclusions The study provides a non-invasive, rapid and accurate auxiliary diagnostic method for the differential diagnosis of rejection after kidney transplantation.

Objective:To investigate the practical value of pancreatic duct bind with supporting tube combined with single-needle suture for pancreaticojejunostomy in laparoscopic pancreaticoduodenectomy (LPD).Methods:The clinical data of 65 patients with pancreatic head or periampullary tumors who underwent LPD at the First Affiliated Hospital of Kunming Medical University between January 2021 and June 2024 were retrospectively analysed. Among them, 31 were male and 34 were female, aged (57.7±13.3) years. The patients were divided into two groups based on the method of pancreaticojejunostomy: 22 patients who underwent pancreatic duct bind with supporting tube single-needle suture pancreaticojejunos-tomy were included in the study group, 43 patients who underwent traditional pancreatic duct-to-mucosa pancreaticojejunostomy were included in the control group. The clinical data of the patients, including gender, age, operation time, pancreaticojejunostomy time, and postoperative complications, etc. were recorded.Results:Compared with the control group, the pancreaticojejunostomy time [(25.3±2.4) min vs. (47.0±3.9) min] and operation time [(425.2±52.1) min vs. (453.7±30.8) min] of the study group were both shortened, and the differences were statistically significant (both P<0.05). There was no statistically significant difference in the postoperative complication rate between the study group and the control group [18.2% (4/22) vs. 34.9% (15/43), P=0.161]. The incidence of clinically relevant pancreatic fistula in the study group was lower than that in the control group [4.5% (1/22) vs. 30.2% (13/43)], and the difference was statistically significant ( P=0.024). Conclusion:Pancreatic duct bind with supporting tube combined with single-needle suture pancreaticojejunostomy is safe and effective in LPD. Compared with traditional pancreatic duct-to-mucosa pancreaticojejunostomy, pancreatic duct bind with supporting tube combined with single-needle suture pancreaticojejunostomy has advantages in terms of clinically relevant pancreatic fistula rate, operation time, and pancreaticojejunostomy time.

Mesenchymal stem cells(MSCs)play a crucial role in tissue repair and regeneration,and the extracellular vesicle(EV)released by them holds great promise for applications in clinical biomarkers,vaccines,and drug delivery.However,MSCs-derived EV(MSCs-EV)face challenges such as low pro-duction yield,poor retention,and targeted delivery issues.There-fore,engineering MSCs-EV to enhance their performance and en-able visual research has become a hot topic.Curcumin(CUR),an active component in traditional chinese medicine,exhibits pharmacological effects but has limited bioavailability.Using MSCs-EV as a carrier for CUR delivery can address its solubility and bioavailability challenges.This article reviews the drug loading methods,engineering strategies of MSCs-EV,and their important applications in the delivery and treatment of CUR for cartilage injury diseases.It provides a basis for the clinical ap-plication of engineered MSCs-EV in CUR delivery for cartilage repair,offering potential solutions to the challenges in cartilage tissue repair.

Radiomics provides quantitative support for the diagnosis,treatment strategy and prognosis evaluation of brain arteriovenous malformation(bAVM)through high-throughput analysis of imaging data,and it also shows significant advantages in clinical symptom prediction,personalized treatment and clinical outcome prediction.Emerging imaging techniques,such as blood oxygen level-dependent cerebrovascular reactivity imaging and ultrasound technology,provide a new perspective for evaluating the hemodynamic changes and epilepsy susceptibility associated with bAVM.In addition,advances in deep learning algorithms in automatic segmentation of bAVM lesions have greatly improved the accuracy and efficiency of segmentation.With the continuous progress of imaging technology,data analysis algorithms and software,radiomics is expected to play a greater role in precision medicine and individualized treatment,bringing better diagnosis and treatment services and better treatment effects for bAVM patients.

Objective To analyze the changes of intestinal microbiota in patients with nonalcoholic fatty liver disease(NAFLD)and healthy controls so as to explore the relationship between intestinal microbiota and NAFLD.Methods A total of 353 samples from the National Center for Biotechnology Information were included,including 110 healthy controls and 243 NAFLD patients(127 NASH and 116 NAFLD).Macrogenome sequencing data were extracted to obtain data on intergroup flora diversity changes and analyze the potential correlation between alterations in gut microbes and NAFLD.Results Alpha diversity analysis showed no significant differences in Invsimpson index(P=0.57)or Simpson index(P=0.57)between NAFLD patients and healthy controls,while there was a trend of decreasing Shannon index(P=0.084),but with no significant difference.β-diversity analysis showed significant differences between the two groups(P=0.002).Species composition analysis showed that at the genus level,NAFLD patients and healthy controls had the same species types,with Bacteroidetes and Firmicutes being the dominant phyla in both groups.However,compared to Control group,NAFLD group had significantly lower Firmicutes,Synergistetes,and Candidatus_Melainabacteria.At the species level,there were significant differences between NAFLD group and Control group for 10 bacterial species,including Bacteroides_uniformis and Faecalbacterium_prausnitzil.Intergroup difference analysis showed that Phocaeicola dorei,Parabacteroides_distasonis,Bilophila_wadsworthia,and Dysosmobacter_welbionis were significantly enriched in NAFLD patients(LDA score＞2.0,P＜0.05),while Prevotella_stercorea,Faecalibacterium prausnitzii,and others were negatively associated with NAFLD.A disease detection model was constructed based on metagenomic data,and 26 intestinal microorganisms related to NAFLD were selected,including Pyramidobacter piscolens and Citrobacter freundii,etc.The diagnostic accuracy of NAFLD was judged by ROC curve discriminant model,and the AUC of the ROC curve was 0.743 8,indicating that the model has a certain accuracy in diagnosing NAFLD.Conclusion This study revealed differences in gut microbial diversity between NAFLD patients and healthy controls and identified key bacterial groups associated with NAFLD.In addition,the disease detection model constructed based on metagenomic data provides a new method and idea for the diagnosis of NAFLD,which is conducive to further study of the disease and the early diagnosis and treatment of clinical patients.

BACKGROUND: Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD. METHODS & RESULTS: The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology. CONCLUSION The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.

BACKGROUND: Valvular heart disease (VHD) has become increasingly common with the aging in China. This study aimed to evaluate regional differences in the clinical features, management strategies, and outcomes of patients with VHD across different regions in China. METHODS: Data were collected from the China-VHD Study. From April 2018 to June 2018, 12,347 patients who presented with moderate or severe native VHD with a median of 2 years of follow-up from 46 centers at certified tertiary hospitals across 31 provinces, autonomous regions, and municipalities in Chinese mainland were included in this study. According to the locations of the research centers, patients were divided into five regional groups: eastern, southern, western, northern, and central China. The clinical features of VHD patients were compared among the five geographical regions. The primary outcome was all-cause mortality or rehospitalization for heart failure. Kaplan-Meier survival analysis was used to compare the cumulative incidence rate. RESULTS: Among the enrolled patients (mean age, 61.96 years; 6877 [55.70%] male), multiple VHD was the most frequent type (4042, 32.74%), which was mainly found in eastern China, followed by isolated mitral regurgitation (3044, 24.65%), which was mainly found in northern China. The etiology of VHD varied significantly across different regions of China. The overall rate of valve interventions was 32.67% (4008/12,268), with the highest rate in southern China at 48.46% (205/423). In terms of procedure, the proportion of transcatheter valve intervention was relatively low compared to that of surgical treatment. Patients with VHD in western China had the highest incidence of all-cause mortality or rehospitalization for heart failure. Valve intervention significantly improved the outcome of patients with VHD in all five regions (all P  <0.05). CONCLUSIONS: This study revealed that patients with VHD in China are characterized by significant geographic disparities in clinical features, treatment, and clinical outcomes. Targeted efforts are needed to improve the management and prognosis of patients with VHD in China according to differences in geographical characteristics. REGISTRATION ClinicalTrials.gov , NCT03484806.
Aged ; Female ; Humans ; Male ; Middle Aged ; China/epidemiology* ; Heart Valve Diseases/therapy* ; Kaplan-Meier Estimate ; Tertiary Care Centers ; Treatment Outcome

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; Abietanes

Objective To investigate the impact of myeloid cell-specific knockout of the granulocyte colony-stimulating factor receptor(G-CSFR)on the progression of acute radiation pneumonitis.Methods Myeloid cell-specific G-CSFR knockout(G-CSFR-/-,Lyz2-cre)mice were constructed.G-CSFR-/-,Lyz2-cre and C57BL/6N mice underwent a single whole-body irradiation with 6.5 Gy of 60Co γ-rays to establish a model of radiation injury.The lung function of mice was assessed using a mouse lung function test system at 3,7 and 14-days post γ-ray irradiation.Pathological changes in the lung tissue were analyzed via hematoxylin and eosin(HE)staining of paraffin sections.Tumor necrosis factor-α(TNF-α)and interleukin-10(IL-10)levels were measured via radioimmunoassay.IL-8 and its receptor CXCR2 were quantified using enzyme-linked immunosorbent assay(ELISA).The infiltration of neutrophils in lung tissue was evaluated by immunohistochemical detection of myeloperoxidase.Results At 3-,7-and 14-days post-irradiation with 6.5 Gy of 60Co γ-rays,there were no significant differences observed in lung function or interstitial inflammatory lesions between G-CSFR-/-,Lyz2-cre mice and C57BL/6N mice.However,the infiltration of neutrophils in lung tissue of G-CSFR-/-,Lyz2-cre mice was significantly reduced(P＜0.01),and the levels of IL-8,CXCR2 and TNF-α in lung tissues were markedly lower than in C57BL/6N mice(P＜0.05).Conclusion The myeloid cell-specific knockout of G-CSFR can effectively diminish neutrophil infiltration as well as inflammatory cytokine levels in lung tissues following radiation exposure.