Hyperuricemia （HUA） is a common metabolic disorder characterized by persistently elevated serum uric acid levels, leading to uric acid-related renal injury through complex mechanisms involving inflammation, oxidative stress, and fibrosis. Key traditional Chinese medicine （TCM） formulas （e.g., Simiao Powder, Tongfengning） and individual herbal compounds （alkaloids, flavonoids, polysaccharides） with urate-lowering and renal protective properties were systematically summarized, including their mechanisms of regulating uric acid transporters （organic anion transporter 3, urate anion transporter 1, glucose transporter type 9）, inhibiting inflammatory responses （via NF-κB signaling）, reducing oxidative stress （via mitochondrial pathways and antioxidant enzyme enhancement）, and attenuating renal fibrosis （via PI3K/AKT signaling）. The challenges of current studies mainly focus on unclear mechanisms of action and insufficient clinical research. Future research may further explore TCM resources, clarify dual-action mechanisms of urate reduction and renal protection, and identify new therapeutic strategies for hyperuricemia-related renal injury.

ObjectiveTo screen and evaluate the antidepressant compounds of Curcumae Rhizoma， and explore its mechanism of regulating the nuclear factor erythroid 2-related factor 2（Nrf2）/glutathione（GSH） peroxidase 4（GPX4）/GSH pathway from an antioxidant perspective. MethodsThe antioxidant activities in vitro of 11 characteristic components from Curcumae Rhizoma， including curcumol， curgerenone， curdione， curzerene， curcumenol， curcumenone， dehydrocurdione， isocurcumenol， furanodienone， furanodiene and zederone， were detected using 1，1-diphenyl-2-picrylhydrazyl（DPPH） and 2，2'-azinobis-（3-ethylbenzothiazoline-6-sulphonic acid） diammonium salt（ABTS） radical scavenging assays. The depression in Drosophila melanogaster was induced by chronic unpredictable mild stress（CUMS）， and W1118 wild-type male D. melanogaster were randomly divided into blank group， model group， curcumol group， curgerenone group， curdione group， curzerene group， curcumenol group，curcumenone group， dehydrocurdione group， isocurcumenol group， furanodienone group， furanodiene group， zederone group and fluoxetine group（10 μmol·L^-1）. The treatment groups received a dose of 0.1 g·L^-1 of 11 characteristic components from Curcumae Rhizoma， while the blank and model groups were administered equivalent volumes of solvent. The sucrose preference test， climbing test and forced swimming test were used to evaluate the behavioral indicators of depression in D. melanogaster. Liquid chromatography-mass spectrometry（LC-MS） was used to detect the levels of 5-hydroxytryptamine（5-HT） and dopamine（DA） in the brain of D. melanogaster， and the entropy weight method was used to comprehensively evaluate neurobehavioral and neurotransmitter indicators， resulting in the identification of the antidepressant active components of Curcumae Rhizoma. In addition， a mouse depression model was established by CUMS， and C57BL/6J mice were randomly divided into blank group， model group， low and high dose groups of curzerene（0.5， 1 mg·kg^-1）， and fluoxetine group（10 mg·kg^-1） to confirm the antidepressant effect of the optimal active ingredient by behavioral analysis. Flow cytometry was used to detect the content of reactive oxygen species（ROS） in the hippocampus of mice from each group. Enzyme-linked immunosorbent assay was used to detect the contents of adenosine triphosphate（ATP）， superoxide dismutase（SOD）， catalase（CAT） and GSH. Transmission electron microscope（TEM） was used to observe the effect of curzerene on the ultrastructure of mitochondria in hippocampal tissue. Western blot was performed to determine the level of Nrf2 protein， and Nrf2 inhibitor（ML385） was used to verify the relationship between the antidepressant effect of curzerene and regulation of Nrf2. Real time fluorescence quantitative polymerase chain reaction（Real-time PCR） was employed to detect the effect of curzerene on the mRNA expression level of GPX. ResultsIn vitro antioxidant experiments showed that curzerene and curgerenone exhibited the most significant ability to scavenge free radicals， and comprehensive evaluation results of entropy weight method indicated that curzerene stood out as the most promising active component. Compared with the blank group， the model group exhibited a significant decrease in sucrose preference coefficient and the number of times entering the open field center（P<0.01）， as well as a significant increase in immobility time in the forced swimming and tail suspension tests（P<0.01）， and the ROS content in hippocampus significantly elevated（P<0.01）， while the ATP content significantly reduced（P<0.01）. In the hippocampal neurons of the model group， mitochondrial cristae were disordered， with vacuolation of the inner membrane and severe damage. Nrf2 protein expression level in the model group was significantly decreased（P<0.05）， and the antioxidant enzymes SOD， CAT and GSH contents were also significantly reduced（P<0.05， P<0.01）， and the gene expression levels of GPX1， GPX4 and GPX7 were significantly decreased（P<0.01）. Compared with the model group， the high-dose group of curzerene showed a significant increase in the sucrose preference coefficient and the number of times entering the open field center（P<0.05）， as well as a significant decrease in immobility time in the forced swimming and tail suspension tests（P<0.05， P<0.01）. The ROS content in the hippocampus of the high-dose group of curzerene was significantly reduced（P<0.01）， while the ATP content was significantly increased（P<0.05）. The neuronal mitochondrial damage in the hippocampus of the high-dose group of curzerene was alleviated， and the expression level of Nrf2 protein was significantly increased（P<0.05）. The Nrf2 inhibitor ML385 reversed the improvement of curzerene on depressive behaviors in CUMS mice. The GSH content in the hippocampal neurons of the high-dose group of curzerene was significantly increased（P<0.01）， while there were no significant differences in SOD and CAT contents. The expression level of GPX4 gene in the hippocampal neurons of the high-dose group of curzerene was significantly increased（P<0.05）， while there were no significant differences in other GPX genes. ConclusionCurzerene is the best component with antidepressant activity in Curcumae Rhizoma. It may improve mitochondrial dysfunction to exert its antidepressant effect by regulating Nrf2 and its downstream GPX4/GSH pathway rather than CAT or SOD pathways.

AIM: To construct a risk nomogram prediction model of macular edema(ME)based on the risk factors of ME after phacoemulsification in diabetic cataract(DC)patients.METHODS: A retrospective collection of data was conducted on 1 751 DC patients(1 751 eyes)who underwent cataract phacoemulsification surgery in the hospital from January 2022 to December 2024. Based on whether they developed ME after surgery, the patients were divided into the ME group(n=138)and the N-ME group(n=1 613). By conducting univariate and Logistic multiple regression analysis, the risk factors for postoperative ME in DC patients undergoing phacoemulsification were identified. A nomogram of risk prediction model was constructed, and the receiver operating characteristic(ROC)curve, calibration curve, Hosmer-Lemeshow goodness of fit test were plotted to evaluate the discrimination and calibration of the model. The decision curve was used to evaluate the clinical return on investment of the model.RESULTS: Age, course of diabetes, proportion of insulin treatment, proportion of retinopathy, best corrected visual acuity(BCVA), central subfield macular thickness(CSMT), macular volume, glycated hemoglobin(HbA1c), vascular endothelial growth factor(VEGF)in the ME group were higher than those in the N-ME group(all P<0.05). Multivariate Logistic regression analysis showed that diabetes course, retinopathy, BCVA, CSMT, macular volume, HbA1c and VEGF were the risk factors for ME after phacoemulsification in DC patients(all P<0.05). A nomogram of risk prediction model was constructed based on risk factors, and the ROC curve suggested good model differentiation [AUC of training set was 0.998(95% CI: 0.997-1.000), and AUC of validation set was 0.999(95% CI: 0.997-1.000)], set: R2=0.917, χ2=0.806, P=0.999; verification set: R2=0.900, χ2=0.675, P=1.000). The decision curve showed that the model had a high net return rate within the probability range of 0.00-1.00 threshold.CONCLUSION: Diabetes course, retinopathy, BCVA, CSMT, macular volume, HbA1c and VEGF are risk factors for ME after cataract phacoemulsification in DC patients. The nomogram of risk prediction model based on this construction has good differentiation and consistency in predicting the risk of ME after cataract phacoemulsification in DC patients.

To analyze the distribution of serotypes and antimicrobial resistance of clinical Salmonella isolates from multiple centers across China.

Objective To investigate the global burden of visceral leishmaniasis (VL) from 1990 to 2021 and predict the trends in the burden of VL from 2022 to 2035, so as to provide insights into global VL prevention and control. Methods The global age-standardized incidence, prevalence, mortality and disability-adjusted life years (DALYs) rates of VL and their 95% uncertainty intervals (UI) were captured from the Global Burden of Disease Study 2021 (GBD 2021) data resources. The trends in the global burden of VL were evaluated with average annual percent change (AAPC) and 95% confidence interval (CI) from 1990 to 2021, and gender-, age-, country-, geographical area- and socio-demographic index (SDI)-stratified burdens of VL were analyzed. The trends in the global burden of VL were projected with a Bayesian age-period-cohort (BAPC) model from 2022 to 2035, and the associations of age-standardized incidence, prevalence, mortality, and DALYs rates of VL with SDI levels were examined with a smoothing spline model. Results The global age-standardized incidence [AAPC = -0.25%, 95% CI: (-0.25%, -0.24%)], prevalence [AAPC = -0.06%, 95% CI: (-0.06%, -0.06%)], mortality [AAPC = -0.25%, 95% CI: (-0.25%, -0.24%)] and DALYs rates of VL [AAPC = -2.38%, 95% CI: (-2.44%, -2.33%)] all appeared a tendency towards a decline from 1990 to 2021, and the highest age-standardized incidence [2.55/10⁵, 95% UI: (1.49/10⁵, 4.07/10⁵)], prevalence [0.64/10⁵, 95% UI: (0.37/10⁵, 1.02/10⁵)], mortality [0.51/10⁵, 95% UI: (0, 1.80/10⁵)] and DALYs rates of VL [33.81/10⁵, 95% UI: (0.06/10⁵, 124.09/10⁵)] were seen in tropical Latin America in 2021. The global age-standardized incidence and prevalence of VL were both higher among men [0.57/10⁵, 95% UI: (0.45/10⁵, 0.72/10⁵); 0.14/10⁵, 95% UI: (0.11/10⁵, 0.18/10⁵)] than among women [0.27/10⁵, 95% UI: (0.21/10⁵, 0.33/10⁵); 0.06/10⁵, 95% UI: (0.05/10⁵, 0.08/10⁵)], and the highest mortality of VL was found among children under 5 years of age [0.24/10⁵, 95% UI: (0.08/10⁵, 0.66/10⁵)]. The age-standardized incidence (r = -0.483, P < 0.001), prevalence (r = -0.483, P < 0.001), mortality (r = -0.511, P < 0.001) and DALYs rates of VL (r = -0.514, P < 0.001) correlated negatively with SDI levels from 1990 to 2021. In addition, the global burden of VL was projected with the BAPC model to appear a tendency towards a decline from 2022 to 2035, and the age-standardized incidence, prevalence, mortality and DALYs rates were projected to be reduced to 0.11/10⁵, 0.03/10⁵, 0.02/10⁵ and 1.44/10⁵ in 2035, respectively. Conclusions Although the global burden of VL appeared an overall tendency towards a decline from 1990 to 2021, the burden of VL showed a tendency towards a rise in Central Asia and western sub-Saharan African areas. The age-standardized incidence and prevalence rates of VL were relatively higher among men, and the age-standardized mortality of VL was relatively higher among children under 5 years of age. The global burden of VL was projected to continue to decline from 2022 to 2035.

Objective To analyze the application of outcome indicators and measurement tools in randomized controlled trials(RCTs)of TCM treatment for coronary heart disease(CHD)complicated with anxiety and depression in recent years;To facilitate the construction of core outcome set in this field.Methods The RCTs of TCM treatment for CHD complicated with anxiety and depression were retrieved from CNKI,Wanfang Data,VIP,CBM,PubMed,Web of Science,Embase,Cochrane Library,and the included RCTs were evaluated for bias risk,data extracted and analyzed.Results A total of 163 articles were included,with 157 outcome indicators categorized into 6 indicator domains according to their functional attributes.The application rates in descending order were symptoms and signs(98.16%),physiological and chemical tests(58.90%),TCM syndromes(48.47%),safety events(44.17%),quality of life(39.88%),and long-term prognosis(9.20%).By analyzing the frequency and distribution of outcome indicators,indicator combinations,measurement time points and tools found that the experimental design and the registration of study protocols were ignored,and the diagnosis and evaluation criteria of anxiety and depression and TCM diagnosis/syndrome differentiation were not standardized.The selection of outcome indicators was characterized by lack of comorbidity between CHD and anxiety and depression,no separation of primary and secondary,excessive number of indicators,irregular composite indicators,inconsistent application of TCM-specific indicators,lack of long-term prognosis,safety indicators and health economics evaluation.Conclusion There are some limitations in the RCT design and outcome indicators in the TCM treatment of CHD complicated with anxiety and depression.It is imperative to establish a core outcome set and standardize trial designs to enhance research quality.

Objective To compare the efficacy of Qwen2.5(model A)and GPT-4o model(model B)for converting free-text reports of thyroid ultrasound into structured reports.Methods Preoperative thyroid ultrasound data of 100 patients who then underwent thyroidectomy(236 thyroid nodules)were retrospectively collected.Free-text reports were written by an attending ultrasound physician in accordance with guidelines of American College of Radiology thyroid imaging reporting and data system(ACR TI-RADS)and input into both model A and B for 3 times to generate structured thyroid ultrasound reports.The quality of these structured reports output by 2 models were compared,including structured writing,ACR TI-RADS categories and management recommendations,while the consistency of 3 times structured reports output by the models were analyzed.Results Among 300 structured reports output by models,the total satisfaction rate of structured writing was 94.00％(282/300)for model A and 94.67％(284/300)for model B,and no significant difference was found(x2=0.045,P=0.832).Among 236 thyroid nodules,there were 36,47,33,39 and 81 in ACR TI-RADS categories 1,2,3,4 and 5,respectively.The total accuracy model A and B for 3 times categories of thyroid nodules was 88.28％(625/708)and 89.27％(632/708),respectively,with no significant difference(x2=0.582,P=0.505).Moderate consistencies of results of 3 times structured writing(ICC=0.531,0.673)and nodules categories(ICC=0.714,0.747)were noticed between 2 models.The coincidence rate of model A and B for providing management recommendations for thyroid nodules was 74.86％(530/708)and 67.51％(478/708),respectively,the former was higher than the latter(x2=4.567,P=0.033),and the consistencies of 3 times management recommendations provided by 2 models were both good(ICC=0.836,0.769).Conclusion The efficacy of structured writing and ACR TI-RADS categories of Qwen2.5 and GPT-4o models for converting thyroid ultrasound free-text reports into structured reports was comparable,while the former was more effective for providing management recommendations.

Objective To observe the value of T1WI deep learning models for evaluating brain injury of neonatal hyperbilirubinemia(NHB).Methods Totally 106 NHB(defined as newborns with neonatal behavioral neurological assessment≤37,NHB group)and 119 non-NHB newborns(control group)in center A,as well as 34 NHB and 18 non-NHB newborns in center B were collected.ROI was delineated based on bilateral globus pallidus on T1WI.A total of 690 slices were obtained by preprocessing data of center A and then were divided into training set(n=552)and test set(n=138)at a ratio of 8∶2.ResNet18,DenseNet121 and EfficientNetB0 models was established,respectively.External validation was performed based on data of center B.Receiver operating characteristic curves were drawn,area under the curves(AUC)were calculated to evaluate the performance of models for assessing NHB brain injuries compared with traditional visual analysis.Results The AUC of ResNet18 model for evaluating NHB brain injury was 0.910-0.990,significantly higher than that of DenseNet121 model(0.710-0.820)and EfficientNetB0 model(0.640-0.740)(all P＜0.001).The accuracy,sensitivity and precision of ResNet18 model for evaluating NHB brain injury were all higher than those of visual analysis(all P＜0.05),while no significant difference of specificity was found between the above two(P＞0.05).Conclusion T1WI ResNet18 model showed excellent performance and generalization ability for evaluating NHB brain injury.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

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