OBJECTIVE To establish the high-performance liquid chromatography （HPLC） fingerprint of Sagina japonica ， and to establish a quantitative analysis of multi-components by single-marker （QAMS） method for simultaneous determination of six componen ts in S. japonica ， aiming to provide references for the quality control of this medicinal herb. METHODS HPLC method was used to establish the fingerprints of 12 batches （No. S1-S12） of S . japonica according to Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine . The similarity evaluation and identification of common peaks were conducted， followed by cluster analysis （CA） and principal component analysis （PCA） for 12 batches of samples. Using vicenin-2 as internal reference， the contents of p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were determined by QAMS method. The results were then compared with those obtained by the external standard method. RESULTS The similarities of HPLC fingerprints for 12 batches of S . japonica ranged from 0.828-0.998. A total of 17 common peaks were calibrated， and 6 common peaks were identified. Specifically， peak 5 was identified as vicenin-2， peak 7 as p-hydroxycinnamic acid， peak 10 as apigenin-6-C-arabinoside-8-C-glucoside， peak 11 as isoorientin， peak 13 as vitexin， and peak 15 as 20-hydroxyecdysone. The results of CA showed that S1-S5， S7 and S9-S11 were clustered into one category， S6 was clustered into one category， and S8 and S12 were clustered into one category. The results of PCA revealed that the accumulative contribution rate of the four main components was 89.430%. The content ranges measured by QAMS method for p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were 0.017 4-0.269 4， 0.568 8-4.240 3， 0.503 2-5.040 3， 0.024 0-0.132 0 and 2.551 3-4.881 1 mg/g， respectively. There was no significant difference in the contents of components measured between QAMS method and the external standard method （ P ＞0.05）. CONCLUSIONS The established HPLC fingerprint and QAMS method can be used for quality evaluation and quality control of S . japonica.

Panretinal photocoagulation(PRP)is the first-line treatment for severe non-proliferative diabetic retinopathy and proliferative diabetic retinopathy(PDR).Its therapeutic efficacy varies due to multiple patient-specific systemic and ocular factors. Despite standardized PRP, some patients fail to show adequate regression of neovascularization and subsequently develop vitreous hemorrhage(VH). In such cases, pars plana vitrectomy(PPV)effectively clears the hemorrhage, restores transparency of the ocular media, supplement PRP, and delays the progression of PDR, thus becoming a critical intervention. With recent advances in surgical techniques, concepts, and equipment, early PPV intervention for VH following PRP has emerged as a growing research focus. Nevertheless, consensus remains lacking regarding its indications, optimal timing, and surgical protocols. This article systematically reviews relevant domestic and international studies, summarizing the surgical timing, approaches, and prognoses of PPV for VH in PDR patients after PRP, aiming to provide evidence-based reference for clinical decision-making and reduce the risk of PDR-related blindness.

Autoimmune pancreatitis is a special type of chronic pancreatitis that can lead to abnormal pancreatic exocrine function in patients. Autoimmune pancreatitis comorbid with pancreatic exocrine insufficiency has a complex pathogenesis， and there is limited research on this topic， leading to the lack of understanding of such patients in clinical practice. This article introduces the epidemiology of autoimmune pancreatitis， briefly describes the pathogenesis of pancreatic exocrine insufficiency caused by autoimmune pancreatitis， and summarizes the various detection methods for pancreatic exocrine function， nutritional assessments， lifestyle management， and drug therapy， in order to strengthen the understanding of autoimmune pancreatitis comorbid with pancreatic exocrine insufficiency and improve the clinical diagnosis and treatment of pancreatic exocrine insufficiency.

Irritable bowel syndrome (IBS) is an extremely common chronic intestinal disorder characterized by recurrent abdominal pain and altered bowel habits, significantly impacting patients' quality of life. The etiology of IBS remains incompletely understood. Research has identified low-grade intestinal inflammation and immune activation, primarily manifested as an imbalance between pro-inflammatory and anti-inflammatory cytokines, as key pathogenic mechanisms in IBS. Among these, interleukin-6 (IL-6), a core pro-inflammatory cytokine, is significantly elevated in IBS patients. IL-6 contributes to the pathogenesis of IBS through various mechanisms, including altering individual susceptibility to IBS, promoting gastrointestinal motility and secretion, activating the hypothalamic-pituitary-adrenal axis, inducing visceral hypersensitivity, and impairing intestinal mucosal barrier function. Furthermore, IL-6 levels are closely associated with the severity of IBS symptoms. This review summarizes the role and mechanisms of IL-6 in IBS, aiming to provide insights and references for clinicians and researchers investigating the etiology of IBS.

Intravitreal injection of anti-vascular endothelial growth factor(VEGF)agents has become the primary treatment for macular edema associated with retinal vascular disease such as diabetic retinopathy and retinal vein occlusion, but there are limitations such as variable treatment efficacy and insufficient durability of therapeutic effects. As the first bispecific antibody applied in ophthalmic treatment, Faricimab achieves favorable outcomes by simultaneously targeting both VEGF-A and angiopoietin-2(Ang-2)pathways. Based on evidence from recent clinical trials and real-world studies, this article reviews the research progress on Faricimab for the treatment of diabetic macular edema(DME), retinal vein occlusion-associated macular edema(RVO-ME)and refractory macular edema compared to the therapeutic effects of other agents. Additionally, based on Faricimab's safety characteristics and future potential, its therapeutic prospects for macular edema associated with retinal vascular diseases are discussed. This review aims to provide evidence-based references for optimizing clinical treatment strategies, thereby contributing to mitigating the risk of vision loss due to macular edema.

Natural killer cells(NK)are important innate immune cells that do not require prior antigen exposure and can directly recognize and attack virus-infected cells and tumor cells.The activation and effector functions of NK cells are regulated by a balance of signals delivered through their surface activating receptors and inhibitory re-ceptors,which bind to ligands on target cells to achieve cytotoxicity via"induced self"and"missing self"recogni-tion models.The killing mechanisms of NK cells primarily include release of cytotoxic granules such as perforin and granzymes to induce target cell lysis,death receptor-mediated apoptosis,secretion of various cytokines,chemokines and growth factors to coordinate with other immune cells in killing tumor cells,thereby generating secondary im-mune responses and antibody-dependent cellular cytotoxicity(ADCC).

To review the clinical characteristics, short-term outcomes, and risk factors of patients with infective endocarditis(IE) who underwent surgical treatment at a single center, and to summarize treatment experience.

Objective:To explore the correlation between the oxygenation index and the monitored parameters of lung injury view in ventilator,so as to provide a basis for monitoring the change of oxygenation index by the parameters of lung injury view.Methods:A total of 28 patients who received mechanical ventilation treatment and admitted to respiratory department of the First Affiliated Hospital with Nanjing Medical University from May 14 to September 30,2024 were selected.The monitored parameters of lung injury views of them during mechanical ventilation treatment with invasive ventilators were collected,including platform pressure(Pplat),driving pressure(ΔP),mechanical energy(Emech),ratio of tidal volume to ideal body weight(TVe/IBW),etc..Then,the data of oxygenation index were obtained.Finally,135 valid data were screened out.The 84 pieces of data with oxygenation index≤300mmHg were included in low oxygen group,and 51 data with oxygenation index>300mmHg were included in normal group.The correlations between oxygenation index and Pplat,ΔP,Emech,TVe/IBW were conducted by pairwise analysis.Results:In the low oxygen group,the oxygenation index was[(196.302±74.522)mmHg]significantly negative correlation with Emech[(12.686±5.401)J/min](ρ=-0.425,P<0.05),but not was significant correlation with Pplat,ΔP,and TVe/IBW(P>0.05).In the normal group,there were not significant correlations between the oxygenation index and Pplat,ΔP,Emech and TVe/IBW(P>0.05).There was a significant negative correlation between Emech and rank of oxygenation index(β=-0.389,P<0.05)in the low oxygen group.Conclusion:The visualization function of the Emech of the monitored parameters in lung injury view of ventilator can provide help for monitoring the changes of oxygenation index of patients in the low oxygen group,and can improve the oxygenation of patients by optimizing mechanical energy.However,it is necessary to balance the contradiction between ventilation intensity and protection for lung.

Objective To develop and validate a deep learning model based on chest CT images to accurately distinguish between drug-resistant(DR-TB)and-sensitive tuberculosis(DS-TB).Methods A retrospective study was conducted on 722 cases of confirmed secondary tuberculosis admitted in our center from January 2019 to December 2022.According to the results of antimicrobial susceptibility test,they were divided into 357 DS-TB cases and 365 DR-TB cases.Pre-existing U-Net segmentation model was employed to segment the lung parenchyma regions in CT images.The dataset was randomly partitioned into a training set and a testing set in an 8:2 ratio.Six 3D deep learning architectures(3D Swin Transformer,3D ShuffleNet v2,3D ViT,3D MobileNet v2,3D DenseNet,and 3D ResNet18)were employed to evaluate the discriminative efficiency between DS-TB and DR-TB.Hyperparameters were optimized by five-fold cross-validation on the training set to construct the optimal model.The performance of the constructed model was assessed using area under the curve(AUC),sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),and F1-score.Six radiologists independently evaluated DR-TB identification on the test set,and their performance was compared with the best-performing deep learning model.Results The AUC value in DR-TB prediction was 0.583,0.704,0.698,0.758,0.736,and 0.841,respectively,for 3D Swin Transformer,3D ShuffleNet v2,3D ViT,3D MobileNet v2,3D DenseNet,and 3D ResNet18.The 3D ResNet18 model demonstrated optimal performance,achieving a sensitivity of 0.935(95%CI:0.880～0.987),a specificity of 0.642(95%CI:0.492～0.757),a PPV of 0.750(95%CI:0.663～0.835),an NPV of 0.896(95%CI:0.809～0.976),an AUC value of 0.841,and a F1-score of 0.832.The radiologists got a F1-score of 0.571,0.450,0.675,0.623,0.617 and 0.635,respectively,and the F1-score of the 3D ResNet18 model is all higher than that of the radiologists.The highest-performing radiologist achieved sensitivity,specificity,PPV and NPV of 0.701(95%CI:0.605～0.802),0.567(95%CI:0.447～0.684),0.651(95%CI:0.549～0.757),and 0.623(95%CI:0.500～0.754),with all these values lower than those of the 3D ResNet18 model(P<0.05).Class activation mapping showed that the 3D ResNet18 model could focus on key lesion areas.The class activation mapping demonstrated that the 3D ResNet18 model could effectively focus on critical lesion regions.Conclusion Our 3D ResNet18 model shows the best predictive performance in identifying DR-TB,and is expected to assist clinical diagnosis for DR-TB.