Objective To explore the feasibility and reference value of allogeneic lung transplantation and postoperative monitoring in miniature pigs for lung transplantation research. Methods Two miniature pigs (R1 and R2) underwent left lung allogeneic transplantation. Complement-dependent cytotoxicity tests and blood cross-matching were performed before surgery. The main operative times and partial pressure of arterial oxygen (PaO₂) after opening the pulmonary artery were recorded during surgery. Postoperatively, routine blood tests, biochemical blood indicators and inflammatory factors were detected, and pathological examinations of multiple organs were conducted. Results The complement-dependent cytotoxicity test showed that the survival rate of lymphocytes between donors and recipients was 42.5%-47.3%, and no agglutination reaction occurred in the cross-matching. The first warm ischemia times of D1 and D2 were 17 min and 10 min, respectively, and the cold ischemia times were 246 min and 216 min, respectively. Ultimately, R1 and R2 survived for 1.5 h and 104 h, respectively. Postoperatively, in R1, albumin (ALB) and globulin (GLB) decreased, and alanine aminotransferase increased; in R2, ALB, GLB and aspartate aminotransferase all increased. Urea nitrogen and serum creatinine increased in both recipients. Pathological results showed that in R1, the transplanted lung had partial consolidation with inflammatory cell infiltration, and multiple organs were congested and damaged. In R2, the transplanted lung had severe necrosis with fibrosis, and multiple organs had mild to moderate damage. The expression levels of interleukin-1β and interleukin-6 increased in the transplanted lungs. Conclusions The allogeneic lung transplantation model in miniature pigs may systematically evaluate immunological compatibility, intraoperative function and postoperative organ damage. The data obtained may provide technical references for subsequent lung transplantation research.

Objective: To analyze the epidemiological characteristics and influencing factors of severe fever with thrombocytopenia syndrome (SFTS) in Zhejiang Province from 2019 to 2023, so as to provide the reference for strengthening SFTS prevention and control. Methods: Data on laboratory-confirmed SFTS cases in Zhejiang Province from 2019 to 2023 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. Meteorological data, geographic environment and socioeconomic factors during the same period were collected from the fifth-generation European Centre for Medium-Range Weather Forecasts, Geospatial Data Cloud, and Zhejiang Statistical Yearbook, respectively. Descriptive epidemiological methods were used to analyze the epidemiological characteristics of SFTS from 2019 to 2023, and a Bayesian spatio-temporal model was constructed to analyze the influencing factors of SFTS incidence. Results: A total of 578 SFTS cases were reported in Zhejiang Province from 2019 to 2023, with an annual average incidence of 0.23/105. The peak period was from May to July, accounting for 52.60%. There were 309 males and 269 females, with a male-to-female ratio of 1.15∶1. The cases were mainly aged 50-<80 years, farmers, and in rural areas, accounting for 82.53%, 77.34%, and 75.43%, respectively. Taizhou City and Shaoxing City reported more SFTS cases, while Shaoxing City and Zhoushan City had higher annual average incidences of SFTS. The Bayesian spatio-temporal interaction model showed good goodness of fit. The results showed that mean temperature (RR=1.626, 95%CI: 1.111-2.378) and mean wind speed (RR=1.814, 95%CI: 1.321-2.492) were positively correlated with SFTS risk, while altitude (RR=0.432, 95%CI: 0.230-0.829) and population density (RR=0.443, 95%CI: 0.207-0.964) were negatively correlated with SFTS risk. Conclusions SFTS in Zhejiang Province peaks from May to July. Middle-aged and elderly people and farmers are high-risk populations. Taizhou City, Shaoxing City, and Zhoushan City are high-incidence areas. Mean temperature, mean wind speed, altitude, and population density can all affect the risk of SFTS incidence.

ObjectiveTo conduct a comparative quality analysis of Inulae Flos， fuzz of Inulae Flos and calyx of Inulae Flos， elucidating the scientific connotation of the "removing calyx" process in the traditional processing of Inulae Flos. MethodsInulae Flos decoction pieces were collected， and the fuzz and calyx of Inulae Flos were prepared according to the experiences of old medicine workers. Subsequently， according to the methods under the "Inulae Flos" item in the 2025 edition of the Pharmacopoeia of the People's Republic of China， the appearance characteristics and thin-layer chromatography（TLC） identification of these samples were tested， and the moisture content， total ash content， extract content were also measured. The characteristic fingerprint patterns of Inulae Flos and fuzz of Inulae Flos were established by high-performance liquid chromatography（HPLC）， followed by similarity evaluation， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA）. The contents of cryptochlorogenic acid， caffeic acid， 1，3-O-dicaffeoylqunic acid， 1，5-O-dicaffeoylqunic acid， and 1-O-acetyl britannilactone were determined to compare the quality differences of Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos. ResultsThe moisture content of Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos was all<10%. The determination results of total ash content were as follows：Calyx of Inulae Flos>Inulae Flos>fuzz of Inulae Flos， and the determination results of alcohol-soluble extract content were as follows：Fuzz of Inulae Flos>Inulae Flos>calyx of Inulae Flos. HPLC fingerprint patterns of Inulae Flos and fuzz of Inulae Flos were established， and 22 common peaks were identified. The similarity analysis and PCA showed that the overall quality of Inulae Flos and fuzz of Inulae Flos was similar， while the overall quality of calyx of Inulae Flos differed significantly from that of Inulae Flos and fuzz of Inulae Flos. PLS-DA results showed that Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos clustered into distinct groups， indicating significant differences among them. Cryptochlorogenic acid and caffeic acid had relatively high contents in calyx of Inulae Flos， the contents of 1，3-O-dicaffeoylqunic acid and 1，5-O-dicaffeoylqunic acid in Inulae Flos and fuzz of Inulae Flos were higher than those in calyx of Inulae Flos. The order of 1-O-acetyl britannilactone content was determined as follows：fuzz of Inulae Flos>Inulae Flos>calyx of Inulae Flos. ConclusionThe scientific nature of "Removing Calyx" process in the cleansing of Inulae Flos by old medicine workers is demonstrated by the resulting fuzz of Inulae Flos decoction pieces exhibiting enhanced cleanliness and higher content of the index component 1-O-acetyl britannilactone. This study provides a reference basis for further improving and enhancing the processing method and quality control standards of Inulae Flos.

Objective To optimize the extraction, separation and purification process of Actinoside E. Methods Single factor experiment combined with orthogonal test was used to determine the optimal extraction process of Actinoside E using its content as an index. The extracts were separated and purified by optimizing the chromatographic conditions of macroporous resin, silica gel and ODS column. Results 25 times amount of 55% ethanol with heating reflux at 95℃ for one hour were used as the optimal extraction process of Actinoside E. The optimum separation and purification process was as follows: D101 macroporous resin column was eluted with 7 BV of 50% ethanol, silica gel column was eluted with 5 BV of ethyl acetate-ethanol（10∶1）and 50% methanol eluted fraction was purified repeatedly by ODS column to obtain Actinoside E. The transfer rate of Actinoside E in the whole process was 53.70%, the yield was 0.35%, and the purity was 99.9%. Conclusion The process is stable and viable, which can provide material foundation for the development and utilization of Actinoside E.

The inflammatory microenvironment is closely associated with the initiation and progression of osteoarthritis （OA）， specifically manifesting as macrophage activation， dysregulation of inflammatory cytokines， and redox imbalance. Following an overview of the pathological characteristics of the OA inflammatory microenvironment， this paper reviews the research progress on the mechanism of traditional Chinese medicine （TCM） intervening in OA by modulating the inflammatory microenvironment. It has been found that TCM monomers/active ingredients （such as total alkaloids from Strychnos nux-vomica ， quercetin， triptolide， etc.）， herb pairs （e.g. Angelica pubescens - Gentiana macrophylla ， Carthami Flos-Lycopodii Herba）， and TCM formulas （such as Zhuanggu jianxi formula， Duhuo jisheng decoction and Rongjin niantong formula， etc.） can inhibit macrophage activation， reduce the release of proinflammatory cytokines and the generation of reactive oxygen species by inhibiting multiple signaling pathways， including nuclear factor-κB， Wnt/ β -catenin， and mitogen-activated protein kinase， thereby alleviating the articular inflammatory microenvironment， restoring local joint homeostasis， and slowing the progression of OA.

This paper systematically elaborates on the key points of diagnosis and differential diagnosis of salivary gland tumors characterized by a substantial amount of extracellular mucus as a main or prominent feature, and clarifies the core differential features. The term "mucus-rich" specifically denotes that mucus is a major component of the tumor, rather than a focal or minor one. This phenomenon is associated with distinct histogenetic mechanisms: it may result from specific genetic mutations (e.g., AKT1 E17K in mucinous adenocarcinoma) that drive ductal epithelial differentiation into mucus-secreting cells, or from myoepithelial cells secreting glycosaminoglycans that form a myxoid stroma. Salivary gland tumors with abundant extracellular mucus include mucinous cystadenoma, sialadenoma papilliferum-like intraductal papillary tumors, mucinous myoepithelioma, pleomorphic adenoma with mucin-rich stroma, mucinous adenocarcinoma, low-grade mucoepidermoid carcinoma, mucin-rich salivary duct carcinoma and intestinal-type adenocarcinoma. The diagnosis of these tumors is complicated by the dual nature of extracellular mucus: while it is a defining feature of some entities, it can also obscure key diagnostic architectural features in others, leading to histological overlap and inconspicuous diagnostic areas. Given the frequent histological morphological overlap among these tumors, immunohistochemical findings and molecular characteristics have emerged as crucial differential diagnostic criteria. Core differential diagnostic points include the following: histologically, there must be meticulous identification of typical structures obscured by mucin (such as squamoid cells in mucoepidermoid carcinoma and apocrine features in salivary duct carcinoma); in immunohistochemical staining, CK20 is useful for distinguishing intestinal-type adenocarcinoma (positive) from mucinous adenocarcinoma (negative), while androgen receptor aids in differentiating salivary duct carcinoma (positive) from mucoepidermoid carcinoma (negative); and molecular testing plays a critical role in definitive diagnosis (e.g., the AKT1 E17K mutation for mucinous adenocarcinoma, MAML2 rearrangement for mucoepidermoid carcinoma, and MEF2C::SS18 fusion for microsecretory adenocarcinoma). This paper systematically summarizes the core pathological features and differential diagnostic points of mucin-rich salivary gland tumors, aiming to provide a practical reference for clinical pathological diagnosis.

ObjectiveTo analyze the epidemiological characteristics of latent tuberculosis infection (LTBI) among newly detained populations in eastern China, to identify high-risk groups, and to provide a scientific basis for formulating tuberculosis prevention and control strategies in the prison system. MethodsA cross-sectional study was conducted among the newly admitted detainees in two prisons in eastern China in 2022. Data on demographic characteristics, behavioral risk factors and previous disease history of the research subjects were collected through a structured questionnaire survey. The LTBI status of the detainees was determined using the QuantiFERON-TB Gold In-Tube (QFT-GIT) method. Lasso regression was used to screen variables, followed by multivariate logistic regression analysis to investigate the influencing factors of LTBI. ResultsA total of 305 detainees were included in the study. The median age of detainees was 35 (31, 43) years. The study population was predominantly male (67.21%), of Han ethnicity (95.41%), had a junior or senior high school education (59.34%), and was unemployed (31.80%). A history of smoking was reported by 52.79% of participants, while 57.70% reported no alcohol consumption. The majority had no history of hypertension (85.90%), diabetes mellitus (93.77%), human immunodeficiency virus (HIV) infection (97.38%), familial genetic diseases (95.08%), surgery or trauma (73.77%), drug use (92.79%), or hepatitis (93.77%). The LTBI rate was 14.75%. After comparing the demographic characteristics of LTBI and non-infected groups, it was found that smoking history (χ²=7.40, P=0.025), drug use history (χ²=5.49, P=0.019), and HIV infection (χ²=8.12, P=0.004) were statistically correlated with LTBI infection. The results of multivariate logistic regression analyses showed that smoking [adjusted odds ratio (aOR)=4.08, 95%CI: 1.60‒10.42, P=0.003], HIV infection (aOR=11.57, 95%CI: 2.50‒53.51, P=0.002) and drug use (aOR=3.04, 95%CI: 1.02‒9.09, P=0.046) were risk factors for LTBI. ConclusionThe LTBI rate among newly detainees in two prisons in eastern China is slightly lower than that among long-term detainees. Early screening and intervention should be implemented for newly detainees, with particular attention focused on high-risk groups such as those with a history of smoking, HIV infection, or drug use.

ObjectiveTo evaluate the clinical efficacy and safety of acupuncture in treating severe Bell's palsy and to explore its potential mechanism by investigating the effect on serum levels of glial cell line-derived neurotrophic factor （GDNF） and nerve growth factor （NGF）. MethodsA randomized， subject-blinded， sham-acupuncture controlled trial was conducted. A total of 130 patients with severe Bell's palsy were randomly allocated into a treatment group or a control group at a 1∶1 ratio. Both groups received conventional western medicine. In addition， the treatment group received acupuncture， while the control group received sham acupuncture， with each session lasting 30 minutes. The treatment course lasted 8 weeks for both groups， followed by a follow-up assessment at week 12. The primary outcome was the proportion of patients achieving House-Brackmann （H-B） grade Ⅱ or lower at week 8. Secondary outcomes included Sunnybrook facial grading system scores at week 0， 4， 8， and 12， the time to satisfactory recovery（the time required to achieve H-B grade≤Ⅱ）， distribution of H-B grades and facial disability index （FDI） scores including the physical function subscale （FDIP） and social/well-being function subscale （FDIS） scores at week 0， 4， 8， and 12， and serum GDNF and NGF levels at week 0， 4， and 8. Adverse events and participants' self-assessments of treatment efficacy were also recorded. ResultsA total of 122 participants completed the study， including 62 in the treatment group and 60 in the control group. An intention-to-treat （ITT） analysis was performed， and missing data were handled using the last observation carried forward （LOCF） method. The proportion of patients achieving H-B grade ≤grade Ⅱ at week 8 was 78.5% （51/65） in the treatment group， significantly higher than 49.2% （32/65） in the control group （P＜0.05）. The Sunnybrook scores， FDIP and FDIS scores increased， while H-B grades decreased at week 4， 8， and 12 in both groups compared to week 0； moreover， improvements in all outcome measures were significantly greater in the treatment group than in the control group （P＜0.05）. The median time to satisfactory recovery was 6 weeks （95%CI： 5.697-6.303） in the treatment group， significantly shorter than 12 weeks （95%CI： 8.314-15.686） in the control group （P＜0.05）. Serum levels of GDNF and NGF were significantly higher in the treatment group at weeks 4 and 8 （P＜0.05）. No serious acupuncture-related adverse events occurred in either group. Adverse events were reported in 5 patients （7.69%） in the treatment group and 4 patients （6.15%） in the control group， with no statistically significant difference between groups （P＞0.05）. Patients' self-assessment of treatment efficacy after 8 weeks treatment was significantly better in the treatment group （P＜0.05）. ConclusionAcupuncture can effectively improve facial nerve function and shorten recovery time in patients with severe Bell's palsy， with a favorable safety profile. The therapeutic mechanism may be associated with the upregulation of serum GDNF and NGF levels.

Background/Aims: Lenvatinib resistance remains a critical barrier in advanced hepatocellular carcinoma (HCC) therapy. However, the underlying mechanisms and strategies for reversing resistance remain incompletely understood. Methods: Integrated transcriptomics of lenvatinib-resistant patient tumors and an acquired-resistance murine model identified a novel macrophage subpopulation. Functional validation employed CRISPR-SAM screening, conditioned medium (CM) assays, subcutaneous/orthotopic xenografts, patient-derived organoids (PDOs), and patient-derived xenografts (PDXs). Mechanistic studies included ChIP-qPCR, co-immunoprecipitation, and pharmacologic targeting. Clinical relevance was assessed in a retrospective cohort. Results: Resistant HCC exhibited significant enrichment of a COLEC12high TAM subset , which correlated with poor survival and treatment response. These TAMs secreted neuregulin-1 (NRG1) , activating HER2/HER3-AKT signaling in tumor cells to drive cancer stemness and lenvatinib resistance. Mechanistically, in TAMs COLEC12 sequestered STAT1 in the cytoplasm, preventing its phosphorylation, and thereby derepressing STAT3-mediated NRG1 transcription. Depletion of NRG1 reversed the stemness phenotypes and resensitized tumors to lenvatinib both in vitro and in vivo. Clinically, high NRG1 expression predicted an inferior lenvatinib response and shorter survival. Crucially, the bispecific anti-HER2/HER3 antibody zenocutuzumab restored lenvatinib efficacy in PDOs, PDXs, and murine models. Conclusions Our work establishes the COLEC12high TAM/NRG1 axis as a master regulator of therapeutic resistance and identifies NRG1 as a predictive biomarker, providing a clinically actionable strategy to overcome lenvatinib resistance in HCC.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.