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.

To promote the standardization and normalization of perioperative care for follicular unit extraction(FUE) hair transplantation, ensure treatment efficacy, and align with advancements in the specialty, the Nursing Branch of the Chinese Association of Plastic and Aesthetics organized a panel of domestic experts. By integrating evidence-based medicine with clinical practice experience, and following thorough discussions, these experts developed the Clinical Practice Expert Consensus on Perioperative Nursing Care for Follicular Unit Extraction (2025). This consensus provides a comprehensive overview of hair transplantation, covering preoperative preparation, surgical procedures, intraoperative coordination, postoperative management, and complication prevention and treatment. It serves as a key reference and guide for implementing standardized perioperative nursing care in FUE hair transplantation.

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.

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 investigate the potential mechanism of the effect of ginkgo flavone aglycone （GA） against doxorubicin （DOX）-induced cardiotoxicity. METHODS The male ICR mice were randomized into control group （CON group）， model group （DOX group） and GA+DOX group （GDOX group）， with 12 mice in each group. The DOX group was injected with DOX solution at a dose of 3 mg/kg via tail vein every other day， and the GDOX group was given GA suspension intragastrically at a dose of 100 mg/kg every day+DOX solution at a dose of 3 mg/kg via tail vein every other day， for 15 consecutive days. After the end of administration， the serum levels of aspartate aminotransferase（AST）， creatine kinase（CK）， creatine kinase isoenzyme（CK- MB） and lactate dehydrogenase（LDH） in mice were detected in each group. Based on the metabolomics method， UHPLC-Q- Exactive Orbitrap HRMS method was used； based on principal component analysis （PCA） and orthogonal partial least squares- discriminant analysis （OPLS-DA）， the differentially expressed metabolites （DEMs） were screened using the criteria of variable importance in the projection≥1， fold change of peak area＞1 and P＜0.05； biological analysis was conducted based on databases such as HMDB and PubChem. RESULTS Compared with CON group， serum levels of AST， CK， CK-MB and LDH were increased significantly in DOX group （P＜0.05）； compared with DOX group， the serum levels of the above indicators （except for CK-MB） were decreased significantly in GDOX group （P＜0.05）. PCA and OPLS-DA showed that myocardial tissue samples of CON group， DOX group and GDOX group were isolated completely. After database matching， 37 common DEMs were identified， among which 17 DEMs were significantly up-regulated in the DOX group and significantly down- regulated in the GDOX group， and 8 DEMs were significantly down-regulated in the DOX group and significantly up-regulated in the GDOX group； pathway enrichment involved the biosynthesis of unsaturated fatty acids， arachidonic acid metabolism， linoleic acid metabolism， taurine and hypotaurine metabolism； the key metabolites in the above pathways included docosahexaenoic acid， arachidonic acid， phosphatidylcholine （16∶0/18∶3） and taurine. CONCLUSIONS GA may regulate the biosynthesis of unsaturated fatty acids， arachidonic acid metabolism and other metabolic pathways by acting on the core metabolites such as docosahexaenoic acid and arachidonic acid， thus alleviating the cardiotoxic effects of DOX.

Lung cancer is the malignant tumor with the highest incidence and mortality rate worldwide.For lung adenocarcinoma,identifying specific gene mutations,fusions,and giving corresponding targeted drugs can greatly improve the survival time of the patients.Among them,anaplastic lymphoma kinase(ALK)fusion occurs in 3％-7％of non-small cell lung cancer(NSCLC).In clinical practice,a variety of detection methods can be used to determine the ALK fusion status,but false negative test results are possible.This paper retrospectively analyzed the diagnosis and treatment of a patient with lung adeno-carcinoma,judged the ALK fusion status by various detection methods.Among them,immunohistochemistry(IHC)(Ventana D5F3),RNA based next-generation sequencing(RNA-based NGS)confirmed positive echinoderm microtubule associated protein like 4(EML4)-ALK fusion,while DNA-based NGS was negative.This paper analyzed the detection methods of ALK fusion,in order to clarify which detection method is the most accurate and simple to choose in different clinical cases and guide the subsequent treatment.