AIM:To compare the clinical efficacy of phacoemulsification with 2.2 mm versus 3.0 mm clear corneal incisions in patients with age-related cataract(ARC).

METHODS: ARC patients treated in the Ophthalmology Department of the hospital from January 2025 to November 2025 were retrospectively enrolled and divided into two groups according to the corneal incision size: the observation group underwent 2.2 mm clear corneal incision, while the control group underwent 3.0 mm clear corneal incision. The two groups were compared in terms of intraoperative parameters, pre- and postoperstive best-corrected visual acuity(BCVA), surgically induced astigmatism(SIA)at 1 wk, 1 and 3 mo postoperatively, inflammatory response(anterior chamber flare value and anterior chamber inflammatory cell count)at 1 and 3 d postoperatively, corneal endothelial cell parameters \〖corneal endothelial cell density(CECD), hexagonal cell ratio(HEX), coefficient of variation(CV)of cell area, and corneal endothelial cell loss rate\〗 measured preoperatively and at 3 mo postoperatively, and the incidence of complications within 3 mo after surgery.

RESULTS:A total of 120 ARC patients(120 eyes for patients with bilateral eyes meeting the inclusion criteria, only the right eye was enrolled)were enrolled, with 60 patients(60 eyes)in the observation group(31 males and 29 females, mean 68.93±6.01 y)and 60 patients(60 eyes)in the control group(28 males and 32 females, mean 69.25±5.73 y). No statistically significant differences were observed in preoperative baseline data between the two groups(all P>0.05). The mean intraoperative ultrasound time, mean phacoemulsification energy, cumulative dissipated energy, and volume of irrigation fluid used in the observation group were significantly lower than those in the control group(all P<0.01. At 1 d and 1 wk postoperatively, BCVA in the observation group was significantly better than that in the control group(both P<0.05). At 1 and 3 mo postoperatively, there was no statistically significant difference in BCVA between the two groups(both P>0.01). At 1 wk, 1 and 3 mo postoperatively, SIA in the observation group was significantly lower than that in the control group, and the change in astigmatism axis at 3 mo postoperatively was also significantly smaller in the observation group(P<0.01). At 1 and 3 d postoperatively, the anterior chamber flare value and inflammatory cell count in the observation group were significantly lower than those in the control group(all P<0.05). At 3 mo postoperatively, CECD and HEX in the observation group were significantly higher than those in the control group, while CV and endothelial cell loss rate were significantly lower(all P<0.05). The total incidence of postoperative complications in the observation group was 11.7%, which was significantly lower than that in the control group(26.7%, P<0.05).

CONCLUSION:Compared with the 3.0 mm clear corneal incision, the 2.2 mm clear corneal incision phacoemulsification for ARC can significantly improve phacoemulsification efficiency, reduce early postoperative inflammatory response and SIA, accelerate visual recovery, better preserve the morphology and function of corneal endothelial cells in the short term, and lower the incidence of complications.

Objective To explore a deep learning-based automatic bone age estimation model for elbow joint X-ray images of Chinese Han adolescents and children and evaluate its performance.Methods A total of 943(517 males and 426 females)elbow joint frontal view X-ray images of Chinese Han ado-lescents and children aged 6.00 to<16.00 years were collected from East,South,Central and North-west China.Three experimental schemes were adopted for bone age estimation.Scheme 1:Directly in-put preprocessed images into the regression model;Scheme 2:Train a segmentation network using"key elbow joint bone annotations"as labels,then input segmented images into the regression model;Scheme 3:Train a segmentation network using"full elbow joint bone annotations"as labels,then in-put segmented images into the regression model.For segmentation,the optimal model was selected from U-Net,UNet++and TransUNet.For regression,VGG16,VGG19,InceptionV2,InceptionV3,ResNet34,ResNet50,ResNet101 and DenseNet121 models were selected for bone age estimation.The dataset was randomly split into 80%(754 samples)for training and validation for model fitting and hyperparameter tuning,and 20%(189 samples)as an internal test set to test the performance of the trained model.An additional 104 elbow joint X-ray images from the same demographic and age group were col-lected and used as an external test set.Model performance was evaluated by comparing the mean ab-solute error(MAE),root mean square error(RMSE),accuracies within±0.7 years(P±0.7 years)and±1.0 years(P±1.0 years)between the estimated age and the actual age,and by drawing radar charts,scat-ter plots,and heatmaps.Results When segmented with Scheme 3,the UNet++model achieved good segmentation performance with a segmentation loss of 0.000 4 and an accuracy of 93.8%at a learning rate of 0.000 1.In the internal test set,the DenseNet121 model with Scheme 3 yielded the best results with MAE,P±0.7 years and P±1.0 years being 0.83 years,70.03%,and 84.30%,respectively.In the external test set,the DenseNet121 model with Scheme 3 also performed best,with an average MAE of 0.89 years and an average RMSE of 1.00 years.Conclusion When performing automatic bone age estima-tion using elbow joint X-ray images in Chinese Han adolescents and children,it is recommended to use the UNet++model for segmentation.The DenseNet121 model with Scheme 3 achieves optimal per-formance.Using segmentation networks,especially that trained with annotation areas encompassing the full elbow joint including the distal humerus,proximal radius,and proximal ulna,can improve the ac-curacy of bone age estimation based on elbow joint X-ray images.

Objective To explore a deep learning network model suitable for bone age estimation using shoulder joint X-ray images in Chinese Han adolescents.Methods A retrospective collection of 1 286 shoulder joint X-ray images of Chinese Han adolescents aged 12.0 to<18.0 years(708 males and 578 females)was conducted.Using random sampling,approximately 80%of the samples(1 032 cases)were selected as the training and validation sets for model learning,selection and optimization,and the other 20%samples(254 cases)were used as the test set to evaluate the model's generalization ability.The original single-channel shoulder joint X-ray images and dual-channel inputs combining original images with segmentation labels(manually annotated shoulder joint regions multiplied pixel-by-pixel with original images,followed by segmentation via the U-Net++network to retain only key shoulder joint region information)were respectively input into four network models,namely VGG16,ResNet18,ResNet50 and DenseNet121 for bone age estimation.Additionally,manual bone age estimation was con-ducted on the test set data,and the results were compared with the four network models.The mean absolute error(MAE),root mean square error(RMSE),coefficient of determination(R2),and Pear-son correlation coefficient(PCC)were used as main evaluation indicators.Results In the test set,the bone age estimation results of the four models with dual-channel input of shoulder joint X-ray images outperformed those with single-channel input in all four evaluation indicators.Among them,DenseNet121 with dual-channel input achieved best results with MAE of 0.54 years,RMSE of 0.82 years,R2 of 0.76,and PCC(r)of 0.88.Manual estimation yielded an MAE of 0.82 years,ranking second only to dual-channel DenseNet121.Conclusion The DenseNet121 model with dual-channel input combined with original images and segmentation labels is superior to manual evaluation results,and can effectively estimate the bone age of Chinese Han adolescents.

In February 2025, a local cluster outbreak caused by the D8 genotype Measles virus (MV) was first discovered in Henan Province. Epidemiological investigations and laboratory testing were conducted, including the collection of serum and throat swabs for MV IgM antibody and nucleic acid detection, virus isolation and genetic homology analysis. Measures such as close contact tracing, vaccination rate assessment and supplementary immunization activities were implemented, successfully preventing broader community transmission. A total of three cases were reported during the outbreak, including one imported-related adolescent and two secondary local adult cases. All cases presented with typical symptoms such as fever and rash. Both adult cases were complicated by pneumonia, with one case developing into severe pneumonia. MV genotyping showed that the two secondary cases were both the D8 genotype, with the viral sequences being completely homologous to the Kazakhstan strain. Among the close contacts, 98.2% were adults, and 142 individuals received emergency vaccination.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Genetic transformation is a fundamental tool in molecular biology research of medicinal plants. Tailoring transgenic technologies to each distinct medicinal plant would necessitate a substantial investment of time and effort. Here, we present a simple hairy root transformation method that does not require sterile conditions, utilizing Agrobacterium rhizogenes strain K599 and the visible RUBY reporter system. Transgenic hairy roots were obtained for six tested medicinal plant species, roots or rhizomes of which have recognized medicinal value, spanning four botanical families and six genera (Platycodon grandiflorus, Atractylodes macrocephala, Scutellaria baicalensis, Codonopsis pilosula, Astragalus membranaceus, and Glycyrrhiza uralensis). Furthermore, two previously identified Glycyrrhiza uralensis UGTs that convert liquiritigenin into liquiritin in heterologous systems were studied in planta using the method. Our results indicate that overexpression of GuUGT1 but not GuUGT10 and Cas9-mediated knockout of GuUGT1 profoundly influenced the accumulation of liquiritin and isoliquiritin in licorice roots. Therefore, the method described here represents a simple, rapid and widely applicable hairy root transformation method that enables fast gene functional study in medicinal plants.

Background: Salvia miltiorrhiza Bunge, commonly known as “Danshen” in China due to the distinctive red color of its roots, is one of the most widely used traditional Chinese medicines. It is cultivated in various regions across China, and environmental differences among these regions can affect the secondary metabolites of plants, thereby influencing the quality of S. miltiorrhiza. In recent years, increasing demand for S. miltiorrhiza has exacerbated the problem of origin fraud. Therefore, ensuring the authenticity of its geographical origin is crucial for the sustainable development of the industry. Objective: The red coloration of S. miltiorrhiza is closely associated with the content of its primary active compounds, particularly tanshinones. Therefore, both its internal chemical composition and external color characteristics serve as key indicators for quality assessment. This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S. miltiorrhiza. Methods: Spectral data reflecting the internal chemical properties of S. miltiorrhiza were integrated with color information representing its external features through 3 levels of data fusion. These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification. Results: The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72% by integrating image color and short-wave infrared spectral data. Conclusion: This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S. miltiorrhiza.

Objective To evaluate the safety and feasibility of percutaneous mitral balloon valvuloplasty with the assistance of arterio-venous circuit.Methods From January 2015 to October 2022,a total 25 patients[19 females,6 males;age(61.60±9.00)years]were included,who were diagnosed with rheumatic heart disease and severe mitral stenosis.A transseptal puncture was performed to establish a femoral arterio-venous circuit,followed by graded dilation with Inoue balloon(diameters:22.00 mm to 28.00 mm).The target was a mitral valve area≥1.50 cm2 with mild or less regurgitation.Results The arterio-venous circuit was established,and mitral balloon valvuloplasty was successfully completed in all 25 patients.Among them,20 patients experienced difficulty with transvalvular crossing using the balloon catheter with conventional methods,16 patients had valvular severe calcification,and 3 patients presented with a left atrial appendage thrombus despite of more than 6-month anticoagulation therapy with warfarin.The mean balloon diameter was(25.00±1.40)mm.The mitral valve area increased from(0.91±0.15)cm2 preoperatively to(1.70±0.14)cm2 postoperatively(P＜0.001).Mean left atrial pressure decreased from(27.00±7.50)mmHg to(16.36±4.07)mmHg(P＜0.001),and mean pulmonary artery pressure decreased from(40.84±13.81)mmHg to(25.00±7.12)mmHg(P＜0.001).All patients showed significant symptom improvement with no complications.Conclusions Arterio-venous circuit for percutaneous mitral balloon valvuloplasty is safe and feasible.This technique can serve as an alternative to standard technique for patients with complex mitral stenosis.

Objective·To investigate the therapeutic effects of neferine(Nef)on intervertebral disc degeneration(IDD)and the underlying regulatory pathways.Methods·The effects of Nef on the viability and proliferation of nucleus pulposus cells were assessed using the cell counting kit-8(CCK-8)assay.Molecular docking software was employed to analyze the potential binding sites of Nef within the Kelch domain of kelch-like ECH-associated protein 1(KEAP1).Tumor necrosis factor-α(TNF-α)was used to induce ferroptosis and inflammation in nucleus pulposus cells.Western blotting was performed to detect the expression levels of nuclear factor erythroid 2-related factor 2/glutathione peroxidase 4(NRF2/GPX4)pathway-and nuclear factor-KB(NF-κB)pathway-related proteins under TNF-α stimulation with or without Nef.The effect of Nef on the metabolism of extracellular matrix in nucleus pulposus cells was evaluated using high-density cell culture.A needle puncture-induced IDD rat model was established,and 5 μL of 1.5 μmol/L Nef was injected twice into the intervertebral disc at the Co3/4 level(IDD+Nef group),while an equivalent volume of PBS was injected into the Co2/3 disc(IDD group).After 4 weeks,the intervertebral space height was detected by X-ray,disc degeneration was detected by magnetic resonance imaging,and disc structure was evaluated by histological staining.Results·The CCK-8 assay revealed that Nef at concentrations of 1.5 μmol/L and below did not inhibit the viability and proliferation of nucleus pulposus cells.Molecular docking results suggested that Nef might activate NRF2 by directly binding to the KEAP1 Kelch domain,thereby reducing the interaction between KEAP1 and NRF2.Western blotting indicated that Nef significantly increased the expression of the key ferroptosis-inhibiting proteins NRF2 and GPX4,while decreasing the expression of the phospho-P65 protein in the NF-κB pathway(all P＜0.05).The high-density culture of nucleus pulposus cells demonstrated that Nef mitigated the TNF-α-induced degradation of the extracellular matrix(P＜0.05).Animal study results showed that compared to the IDD group,the IDD+Nef group exhibited a greater intervertebral disc space height,a lower Pfirrmann grade(both P＜0.05),and a reduced degree of histological degeneration.Conclusion·Nef may inhibit TNF-α-induced ferroptosis in nucleus pulposus cells by activating the KEAP1/NRF2/GPX4 pathway and reduce TNF-α-induced inflammation and extracellular matrix degradation by suppressing the NF-κB pathway,thereby alleviating IDD in rats.