Objective To investigate the distribution characteristics of pathogens causing infections within 90 days after liver transplantation and the influencing factors of infection. Methods Clinical data of 176 recipients who underwent liver transplantation at the Liver Transplant Center of Beijing Friendship Hospital Affiliated to Capital Medical University from September 2021 to August 2024 were retrospectively analyzed. Patients were divided into the infection group (n=124) and the non-infection group (n=52) based on whether they developed infection within 90 days after transplantation. The distribution characteristics of pathogens in infected patients were analyzed. Univariate and multivariate logistic regression analyses were used to explore the influencing factors of infection. Results Among the 176 liver transplant recipients, 124 cases developed 243 episodes of 518 bacterial, fungal, viral or mycoplasma infections within 90 days after transplantation, with an overall infection rate of 70.5% (124/176). The composition of pathogens was mainly Gram-negative bacteria (38.6%, 200/518), followed by Gram-positive bacteria (32.2%, 167/518) and viruses (15.4%, 80/518), and fungi accounted for 13.1% (68/518). Among Gram-negative bacteria, the main pathogen was Klebsiella pneumoniae (6.8%, 35/518), and among Gram-positive bacteria, the main pathogen was Enterococcus faecalis (8.5%, 44/518). Viruses included Epstein-Barr virus (3.7%, 19/518) and cytomegalovirus (3.7%, 19/518), and fungi were mainly Candida albicans (6.8%, 35/518). The most common infection site among the 243 episodes was pulmonary infection (42.0%, 102/243), followed by abdominal infection (22.6%, 55/243) and bloodstream infection (18.1%, 44/243). The infections mainly occurred within 2 weeks after transplantation (60.9%, 148/243). Multivariate logistic regression analysis indicated that preoperative infection within 2 weeks, a high preoperative model for end-stage liver disease (MELD) score, and preoperative sarcopenia were independent risk factors for infection within 90 days after liver transplantation (all odds ratio>1, P<0.05). After multivariate correction, the levels of CD4⁺T cells and CD8⁺T cells within 90 days after surgery were independently associated with the occurrence of infection. Low levels of CD4⁺T cells and CD8⁺T cells might be related to an increased risk of infection. Conclusions The infection rate after liver transplantation is high, and the pathogens are mainly Gram-negative bacteria. The lungs are the most common infection site. Preoperative MELD score, preoperative sarcopenia and preoperative infection within 2 weeks are independent risk factors for infection within 90 days after liver transplantation. Regular monitoring of immune indicators CD4⁺T cells and CD8⁺T cells levels after transplantation is helpful to reduce the occurrence of post-transplantation infection.

Intelligent prescription recommendation has become an important research direction in traditional Chinese medicine (TCM), offering new opportunities to support clinical decision-making and promote the modernization of TCM practice. With the rapid development of artificial intelligence (AI), a variety of computational approaches have been proposed to learn prescription patterns from clinical data and generate personalized treatment recommendations. However, despite increasing research activity, systematic and comprehensive reviews of AI-driven methods for TCM prescription recommendation remain limited. In this study, we present a comprehensive review of computational approaches for herbal prescription recommendation (HPR) in TCM. Existing methods are systematically categorized into several major paradigms, including traditional machine learning methods, topic model methods, sequential generative methods, deep learning and graph-based methods, and large language model–based frameworks. In addition to summarizing methodological developments, we also review commonly used public datasets and evaluation metrics in this field. Furthermore, representative models with publicly available implementations are experimentally evaluated on multiple benchmark datasets to provide a comparative analysis of their performance on the HPR task. Finally, we discuss the key challenges that hinder the practical deployment of intelligent prescription recommendation systems, including data heterogeneity, limited interpretability, and insufficient integration of TCM domain knowledge. Future research directions are outlined to facilitate the development of more reliable, interpretable, and clinically applicable AI-assisted HPR systems for TCM.

Objectives: . This study aimed to explore the role of the Pcdh15 gene in hearing maintenance and to examine the effects of its deficiency on cochlear structure, cochlear function, and hearing loss in mice. Methods: . CRISPR/Cas9 technology was used to generate Pcdh15 knockout (KO) mice. Auditory function was evaluated using hearing tests, while histological approaches were employed to assess morphological changes in cochlear hair cells and spiral ganglion neurons (SGNs). RNA sequencing (RNA-seq) was performed on cochlear tissue from postnatal day 18 (P18) wild-type (WT) and Pcdh15 KO mice to identify differentially expressed genes (DEGs). These DEGs were subjected to functional annotation and pathway analysis, with particular emphasis on oxidative phosphorylation (OXPHOS). Reactive oxygen species (ROS) levels were quantified using flow cytometry and DCFH-DA assays. Results: . Pcdh15 KO mice exhibited progressive sensorineural hearing loss, which worsened to profound deafness by P18. Notably, cochlear hair cells and SGNs showed substantial loss and pronounced morphological abnormalities, particularly within the basal high-frequency region. RNA-seq analysis identified 1,359 DEGs, including 1,024 downregulated and 335 upregulated genes. Pathway analysis indicated that Pcdh15 deficiency was associated with inhibition of the OXPHOS pathway, potentially disrupting mitochondrial respiratory chain complexes I, III, IV, and V and thereby impairing energy production and ATP metabolism. In addition, early-stage cochleae from KO mice demonstrated elevated ROS levels and increased oxidative stress, suggesting that redox imbalance may contribute to hearing damage. Conclusion . Pcdh15 plays a critical role in hearing maintenance. Its deficiency is associated with severe hearing loss and marked cochlear abnormalities, which are linked to inhibition of OXPHOS, disruption of energy metabolism, and exacerbation of oxidative stress. Together, these findings provide new insights into the mechanisms underlying hearing loss and suggest potential targets for therapeutic intervention.

ObjectiveTo systematically screen and validate key immunogenic cell death （ICD）-related genes that play important roles in primary sjögren’s syndrome （pSS） using multi-omics data. MethodsGene expression profiles of pSS patients and healthy controls （GSE66795， 131pSS patients/29 healthy controls） were obtained from the Gene Expression Omnibus （GEO） database. Candidate genes were selected by intersecting these profiles with known ICD core gene sets and pSS-related targets. The CIBERSORT algorithm was used to analyze immune cell infiltration characteristics. Validation of gene expression was performed using transcriptomic data from sorted CD8⁺ T cell subsets （GSE93683）. Finally， labial gland tissues and peripheral blood samples from 10 pSS patients and 4 healthy controls were collected， and key genes were experimentally validated by reverse transcription quantitative polymerase chain reaction （RT-qPCR）. ResultsSeven intersecting genes from the ICD-differentially expressed genes （DEGs）-pSS intersection were identified ［caspase 1 （CASP1）， forkhead box P3 （FOXP3）， interferon-gamma （IFNG）， myeloid differentiation primary response 88 （MYD88）， toll-like receptor 7 （TLR7）， DExD/H-box helicase 58 （DDX58）， and interferon induced helicase C domain 1 （IFIH1）］. Immune infiltration analysis showed that in pSS labial gland tissues， the proportions of naïve B cells and dendritic cells significantly increased， while the proportions of resting NK cells and M0 macrophages decreased （P<0.05）. Transcriptomic data of CD8⁺T cell subsets indicated that IFIH1 expression was significantly elevated in central memory CD8⁺T cells （P<0.05）. RT-qPCR experimental validation revealed that DDX58， IFIH1， and CASP1 were significantly upregulated in both peripheral blood leukocytes and labial gland tissues of pSS patients （all P<0.05）， whereas IFNG expression increased in peripheral blood but decreased in labial gland tissues （P<0.05）. ConclusionThis study identified and confirmed DDX58， IFIH1， CASP1， and IFNG as key ICD-related genes in pSS through a combination of bioinformatics and experimental validation， providing new candidate targets for further understanding the immunopathological mechanisms of pSS.

ObjectiveTo determine whether Jinshui Huanxian component formula Ⅱ （ECC-JHF Ⅱ） and matrix hardness interfere with the process of epithelial-mesenchymal transition （EMT） during pulmonary fibrosis by regulating integrin β₁ （ITG β₁）， and to elucidate the underlying mechanism. MethodsA pulmonary fibrosis mouse model was established by a single intratracheal instillation of bleomycin （BLM）. To observe the disease progression at various time points， the mice were sacrificed before modeling and on days 7， 14， 21， 28 and 42 after modeling for assessment of relevant indicators. To evaluate the therapeutic effect of drug intervention， the mice were given ECC-JHF Ⅱ and pirfenidone （PFD） by gavage starting on day 29 after modeling for 14 days of treatment， after which the mice were sacrificed. Pulmonary function， pathological changes， collagen deposition， lung tissue hardness and EMT markers were detected. Polyethylene glycol （PEG） composite hydrogels with different hardness were prepared in vitro using biomaterials such as eight-arm polyethylene glycol thiol （PEG-SH） and eight-arm polyethylene glycol maleimide （PEG-MAL）. Human type Ⅱ alveolar epithelial cells cultured in hard matrix culture dishes were treated with low， medium， and high doses of ECC-JHF Ⅱ （15.31， 30.63， 61.25 mg·L^-1） to observe the intervention effect of ECC-JHF Ⅱ on EMT induced by transforming growth factor beta 1 （TGF-β₁）. Human type Ⅱ alveolar epithelial cells cultured on soft （3.8 kPa） and hard （culture dishes， ~ GPa） matrices were treated with ECC-JHF Ⅱ， respectively. The mRNA and fluorescence expression levels of the epithelial marker E-cadherin （CDH1）， the mesenchymal marker N-cadherin （CDH2） and vimentin （VIM）， as well as ITG β₁， were detected by real-time quantitative polymerase chain reaction （Real-time PCR） and immunofluorescence. Western blot was used to detect the protein expression of CDH1， CDH2 and ITG β₁， and the biomechanical mechanism of ECC-JHF Ⅱ on EMT and pulmonary fibrosis was further verified by knocking down and specific activation of ITG β₁. ResultsECC-JHF Ⅱ treatment improved BLM-induced pulmonary fibrosis in mice， as evidenced by significantly increased minute ventilation （MV） and 50% expiratory flow at tidal volume （EF₅₀） （P<0.05）， and significantly increased tidal volume （TV） after treatment （P<0.01） compared with the model group. Immunohistopathological analysis revealed attenuated inflammation and alveolar injury， reduced deposition of type Ⅰ collagen （Col-Ⅰ）， and significantly decreased lung tissue stiffness （P<0.01）， thereby alleviating disease progression. The real-time PCR results showed that， compared with the model group， the ECC-JHF Ⅱ group showed increased CDH1 expression and decreased CDH2 and VIM expression in mouse lung tissues （P<0.05， P<0.01）， indicating that ECC-JHF Ⅱ inhibited the EMT process to ameliorate pulmonary fibrosis. In vitro experimental results showed that both ECC-JHF Ⅱ and matrix softening reversed the EMT phenotype switch. Specifically， compared with the hard matrix group， the cells cultured on the soft matrix exhibited significantly upregulated expression of the epithelial marker CDH1 （P<0.01） and significantly downregulated expression of the mesenchymal markers CDH2 and VIM （P<0.05）. Furthermore， ECC-JHF Ⅱ inhibited the expression of ITG β₁ both in vitro and in vivo. Knockdown and specific activation of ITG β₁ further confirmed that ITG β₁ is involved in the regulatory process by which ECC-JHF Ⅱ inhibits EMT and ameliorates pulmonary fibrosis. ConclusionECC-JHF Ⅱ and matrix softening can block the EMT process and ameliorate pulmonary fibrosis， and the underlying mechanism may be associated with the inhibition of ITG β₁-mediated mechanotransduction. This study reveals a novel mechanism of ECC-JHF Ⅱ intervention in pulmonary fibrosis from a biomechanical perspective.

Objective The aim of the study is to analyze the incidence patterns and epidemiological characteristics of parasitic and vector-borne diseases in the Minhang and Jinshan districts of Shanghai, and provide evidence-based information for optimizing prevention and control measures. Methods We collected information from epidemic reports and epidemiological investigation forms for cases of parasitic and vector-borne diseases from 2005 to 2024 in Shanghai's Minhang and Jinshan districts. Descriptive epidemiological method were adopted to conduct a comparative analysis of incidence trends, epidemic characteristics, and infection sources. Results A total of 229 cases in 7 categories were reported between 2005 and 2024, with an average annual incidence rate of 0.36/100 000. The average annual incidence rate in Minhang District was significantly higher than that in Jinshan District. The most prevalent diseases were malaria and dengue fever, followed by Japanese encephalitis. Monthly case reports were available, predominantly from June to October, with a peak in July-August. A statistically significant difference was observed between the two districts in case distribution during June-October (P＜0.001), whereas no significant difference was found for July-August (P=0.331). The majority of cases were young men (111/229,48.47%), aged 20-39 years. Migrant workers/farmers constituted the largest occupational group (55/229, 24.02%). Registered residents of other provinces and cities (147/229,64.19%), and the main source of infection was overseas importation (112/229,48.91%). There were no statistically significant differences in gender and household-registration composition between the two districts (P＞0.05). Significant differences existed in age, occupation, and source of infection (P＜0.05). The imported diseases were malaria and dengue fever, with Africa and Southeast Asia being the primary source locations. Malaria was the predominant disease imported from other provinces and cities, with cases having been imported from abroad since 2012. Local infections were mainly Japanese encephalitis, followed by malaria (with the last local case reported in 2010). Cases between 2005 and 2009 were predominantly imported from other provinces and cities. The proportion of cases imported from abroad increased sharply after 2010, particularly in Minhang District. Local infections sometimes arise in Jinshan District, with Japanese encephalitis serving as the primary type. Conclusions Incidence rates of parasitic and vector-borne diseases in Minhang and Jinshan districts have generally remained low. To further reduce this disease burden, it will be necessary to strengthen joint measures for prevention and control, eliminate the environmental risk factors of vector organisms, enhance monitoring and precise control of the environment and inbound personnel to prevent the occurrence and transmission of parasitic and vector-borne diseases.

Systemic chronic inflammation associated with advancing age is closely linked to the onset and progression of multiple age-related diseases. This persistent inflammatory state, commonly termed inflammaging, reflects complex interactions between accumulated cellular damage and dysregulated immune responses. Inflammasomes are multiprotein complexes of the innate immune system that respond to cellular stress and damage and amplify inflammatory signaling. Their sustained or recurrent activation may contribute to the establishment and maintenance of inflammaging. This review focuses on the NLRP3 inflammasome and summarizes its activation mechanisms, regulatory pathways, and pathological significance within the aging microenvironment. Particular attention is given to neurodegenerative diseases, osteoarthritis, atherosclerosis, and type 2 diabetes, emphasizing shared activation mechanisms and tissue-specific effects. Although initiating stimuli differ among these conditions, several molecular events can contribute to NLRP3 inflammasome activation. Priming mediated by nuclear factor‑κB (NF‑κB) promotes the expression of NLRP3 and pro-interleukin-1β, whereas lysosomal damage, mitochondrial dysfunction, reactive oxygen species accumulation, mitochondrial DNA release, and potassium efflux can participate in activation pathways. These events are interconnected rather than obligatory sequential steps in every setting. Inflammasome assembly promotes caspase-1 activation, which facilitates interleukin-1β and interleukin-18 maturation and gasdermin D cleavage, potentially leading to pyroptosis. The relative contributions of these processes depend on cell type, tissue context, and disease stage. Within aging tissues, persistent damage signals and impaired cellular homeostasis may favor repeated inflammasome activation, establishing a cycle of inflammatory amplification and further tissue injury. However, the pathological consequences vary across organs. In neurodegenerative diseases, inflammasome signaling is associated with neuroinflammation and neuronal vulnerability; in osteoarthritis, it may contribute to joint inflammation and cartilage degeneration. In atherosclerosis, it is implicated in vascular inflammation and plaque progression, whereas in type 2 diabetes, it is linked to metabolic inflammation and impaired glucose homeostasis. These distinctions underscore the importance of interpreting shared molecular mechanisms within specific tissue environments. The review further discusses the therapeutic potential of targeting inflammasomes to mitigate inflammaging and associated disease processes. Strategies include inhibiting NLRP3 activation, modulating upstream stress and priming pathways, and limiting downstream inflammatory signaling or pyroptotic cell death. By interrupting shared mechanisms of inflammatory amplification, these approaches may offer opportunities for coordinated intervention across multiple age-related disorders. Nevertheless, mechanistic overlap does not imply uniform therapeutic responses, and benefits observed in experimental models should not be equated with established clinical efficacy or evidence of delayed human aging.Successful clinical translation will require careful consideration of disease stage, tissue specificity, treatment timing, and the consequences of prolonged interference with innate immune defenses. Long-term safety is particularly important for older populations and preventive applications. The limited availability of validated biomarkers of inflammasome activity also complicates patient stratification, assessment of target engagement, and monitoring of therapeutic responses. Future research should clarify causal relationships, identify contexts in which inflammasome inhibition is most beneficial, and establish reliable translational endpoints. Overall, inflammasomes represent an important link between aging-associated damage and chronic inflammatory amplification, supporting their investigation as shared targets for early intervention in multiple age-related diseases, while highlighting the need for disease-specific evaluation and rigorous assessment of benefits and risks.

Lung cancer is the most common malignant tumor worldwide, ranking first in both incidence and mortality rates. According to the latest statistics from the International Agency for Research on Cancer (IARC), approximately 2.5 million new cases and around 1.8 million deaths from lung cancer occurred in 2022, placing a tremendous burden on global healthcare systems. The high mortality rate of lung cancer is closely linked to its subtle early symptoms, which often lead to diagnosis at advanced stages. This not only complicates treatment but also results in substantial economic losses. Current treatment options for lung cancer include surgery, radiotherapy, chemotherapy, targeted drug therapy, and immunotherapy. Among these, immunotherapy has emerged as the most groundbreaking advancement in recent years, owing to its unique antitumor mechanisms and impressive clinical benefits. Unlike traditional therapies such as radiotherapy and chemotherapy, immunotherapy activates or enhances the patient’s immune system to recognize and eliminate tumor cells. It offers advantages such as more durable therapeutic effects and relatively fewer toxic side effects. The main approaches to lung cancer immunotherapy include immune checkpoint inhibitors, tumor-specific antigen-targeted therapies, adoptive cell therapies, cancer vaccines, and oncolytic virus therapies. Among these, immune checkpoint inhibitors and tumor-specific antigen-targeted therapies have received approval from the U.S. Food and Drug Administration (FDA) for clinical use in lung cancer, significantly improving outcomes for patients with advanced non-small cell lung cancer. Although other immunotherapy strategies are still in clinical trials, they show great potential in improving treatment precision and efficacy. This article systematically reviews the latest research progress in lung cancer immunotherapy, including the development of novel immune checkpoint molecules, optimization of treatment strategies, identification of predictive biomarkers, and findings from recent clinical trials. It also discusses the current challenges in the field and outlines future directions, such as the development of next-generation immunotherapeutic agents, exploration of more effective combination regimens, and the establishment of precise efficacy prediction systems. The aim is to provide a valuable reference for the continued advancement of lung cancer immunotherapy.

Objective To investigate the predictive value of preoperative combined detection of neutrophil-to-lymphocyte ratio (NLR) and prothrombin time-international normalized ratio to albumin ratio (PTAR) for early abdominal infection after liver transplantation. Methods Clinical data of 287 recipients who underwent liver transplantation at the Liver Transplant Center of Beijing Friendship Hospital, Affiliated to Capital Medical University, from January 2020 to April 2024 were retrospectively analyzed. The patients were divided into infection group (n=60) and non-infection group (n=227) based on whether abdominal infection occurred within 30 days after surgery. The distribution characteristics of pathogens and infection time in infected patients were analyzed. Spearman correlation analysis was used to assess the correlation between NLR, PTAR, Child-Pugh score and preoperative model for end-stage liver disease (MELD) score. Univariate and multivariate logistic regression analyses were performed to identify risk factors for abdominal infection. Receiver operating characteristic (ROC) curves were plotted for NLR, PTAR, and the combined prediction model to evaluate their predictive efficacy for abdominal infection after liver transplantation. Based on the cutoff value of the combined model, recipients were divided into low-risk and high-risk groups, and Kaplan-Meier analysis was used to compare the cumulative incidence of abdominal infection within 30 days after surgery between the two groups. Results Among the 287 recipients who underwent liver transplantation, 60 developed bacterial or fungal abdominal infections postoperatively. A total of 86 strains were isolated from infected patients, with Gram-negative bacteria accounting for 58%, Gram-positive bacteria for 36%, and fungi for 5%. Preoperative NLR and PTAR were positively correlated with Child-Pugh and MELD scores (all 1 > r > 0, P < 0.05). Logistic regression analysis showed that preoperative NLR, preoperative PTAR, postoperative ICU stay duration and postoperative biliary leakage were risk factors for abdominal infection within 30 days after surgery. The area under the curve (AUC) for NLR, PTAR, Child-Pugh score and MELD score were 0.771, 0.735, 0.650 and 0.741, respectively. The AUC for the combined NLR and PTAR prediction model was 0.824 (95% confidence interval: 0.763-0.885, P < 0.001), with a cutoff value of 0.168. Kaplan-Meier analysis showed that the cumulative incidence of abdominal infection within 30 days after surgery was lower in the low-risk group than in the high-risk group, with statistically significant difference (P < 0.001). Conclusions Preoperative NLR and PTAR are independent risk factors for abdominal infection within 30 days after liver transplantation. The combined prediction model of NLR and PTAR may effectively identify high-risk recipients for early abdominal infection after liver transplantation, providing basis for early intervention.