Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of severe fever with thrombocytopenia syndrome (SFTS) in Huai'an City, Jiangsu Province from 2011 to 2024, so as to provide a basis for optimizing local SFTS prevention and control strategies, and identifying high-risk areas and key populations. Methods: Data on SFTS incidence and deaths in Huai'an City from 2011 to 2024 were collected from the Infectious Disease Reporting Information System of the Chinese Disease Prevention and Control Information System. The reported incidence, mortality, and fatality rates were calculated. Descriptive analysis was performed on temporal, population, and regional distribution. The average annual percent change (AAPC) was used to analyze the trend in the reported incidence of SFTS. Global and local spatial autocorrelation analyses were employed to examine the spatial distribution patterns and spatial association patterns of SFTS incidence while spatio-temporal scanning analyses was used to assess the spatial-temporal clustering of SFTS. Results: A total of 337 SFTS cases were reported in Huai'an City from 2011 to 2024, with the reported incidence rising from 0.17/100 000 to 1.88/100 000. There were 20 deaths, with an average annual mortality of 0.03/100 000, and a fatality rate of 5.93%. The incidence showed obvious seasonality, with a peak in May and June (148 cases, accounting for 43.92%). Spring and summer accounted for 107 cases (31.75%) and 159 cases (47.18%), respectively. The reported SFTS cases were mainly male, farmers, and individuals aged ≥41 years, accounting for 56.38%, 79.23%, and 96.74%, respectively. The population distribution of death cases was basically consistent with that of incident cases. Xuyi County was a high-incidence area, with a total of 332 reported cases, accounting for 98.52%. All death cases were reported in this county. Spatial autocorrelation analyses revealed a positive spatial correlation in SFTS incidence from 2019 to 2024, with Moran's I values ranging from 0.214 to 0.336 (all P<0.05). Heqiao Town, Tianquanhu Town, and Guiwu Town in Xuyi County were identified as high-high clustering areas. Spatio-temporal scanning analyses showed that cluster 1 was consistent with the high-high clustering areas, with an aggregation time from the second quarter of 2019 to the second quarter of 2022. Conclusions From 2011 to 2024, the reported incidence of SFTS in Huai'an City showed an upward trend, with a high incidence in spring and summer. Males, farmers, and the middle-aged and elderly population were the key populations for prevention and control. Xuyi County was the key area for prevention and control.

ObjectiveTo investigate the mechanism of Guizhi Fulingwan （GFW） against hepatic fibrosis， focusing on elucidating the regulatory effect of GFW on the mitochondrial DNA （mtDNA）/NOD-like receptor protein 3 （NLRP3）/cysteinyl aspartate-specific proteinase-1 （Caspase-1）/gasdermin D （GSDMD） signaling pathway. MethodsForty-two male Sprague-Dawley （SD） rats were randomly allocated into six groups （n=7）： control， model， low/medium/high-dose （0.14， 0.28， 0.56 g·kg^-1·d^-1） GFW （GFW-L， GFW-M， GFW-H）， and Dahuang Zhechong pills （DZW， 1.8 g·kg^-1·d^-1）. The rat model of hepatic fibrosis was induced by intraperitoneal injection of carbon tetrachloride. General conditions of the rats were observed. Serum levels of alanine aminotransferase （ALT） and aspartate aminotransferase （AST） levels were measured. Liver histopathology and collagen deposition were observed through hematoxylin and eosin （HE） staining and Masson's trichrome staining. Transmission electron microscopy （TEM） was employed to observe structural alterations and damage of cellular ultrastructures including mitochondria. Mitochondrial membrane potential （MMP， ΔΨ_m） was detected by flow cytometry. Serum levels of interleukin-1β （IL-1β） and interleukin-18 （IL-18） were measured by enzyme-linked immunosorbent assay （ELISA）. The mRNA levels of mtDNA and NLRP3 in the liver tissue were quantified by Real-time polymerase chain reaction （Real-time PCR）. The protein levels of key molecules in the NLRP3/Caspase-1/GSDMD signaling pathway in the liver tissue were determined by Western blot. ResultsCompared with the control group， the model group exhibited a decrease in body weight （P<0.01）， an increase in liver index （P<0.01）， elevations in serum ALT and AST levels （P<0.01）， and typical fibrotic features such as disorganized hepatocytes， inflammatory infiltration， and increased collagen deposition in the liver tissue. TEM revealed significant karyotheca degeneration， mitochondrial swelling， endoplasmic reticulum expansion， and organelle efflux in the model group. In addition， the model group showed decreased ΔΨ_m （P<0.01）， up-regulated mRNA levels of mtDNA and NLRP3 （P<0.01） and protein levels of NLRP3， Caspase-1， and GSDMD （P<0.01） in the liver tissue， and increased serum levels of IL-1β and IL-18 （P<0.01）. Compared with that in the model group， the body weight increased in GFW-L， GFW-M， and DZW groups （P<0.05） and markedly increased in the GFW-H group （P<0.01）. The liver index decreased in the GFW groups and DZW group （P<0.01）. The serum ALT level declined in the GFW-L group （P<0.05）， and the serum ALT and AST levels decreased in the GFW-M， GFW-H， and DZW groups （P<0.01）. Histopathological damage and fibrosis were alleviated to varying degrees， and TEM revealed mitigated ultrastructural injuries including mitophagy， mitochondrial swelling， and endoplasmic reticulum expansion in the drug intervention groups. The ΔΨ_m increased in GFW groups without statistical significance. The mRNA level of mtDNA in the liver tissue was down-regulated in the GFW-M （P<0.05）， GFW-H （P<0.01）， and DZW （P<0.01） groups. The mRNA level of NLRP3 was down-regulated in GFW-M， GFW-H， and DZW groups （P<0.01）. Western blot analysis showed significantly down-regulated protein level of NLRP3 in all the GFW groups and the DZW group （P<0.01）. The protein level of GSDMD-N was down-regulated in GFW-H and DZW groups （P<0.01）. The protein level of cleaved Caspase-1 was down-regulated in GFW-M （P<0.05）， GFW-H （P<0.01）， and DZW （P<0.01） groups. In addition， the serum levels of IL-1β and IL-18 declined in GFW-H and DZW groups （P<0.01）. ConclusionGFW can suppress pyroptosis to ameliorate CCl₄-induced hepatic fibrosis， potentially through mitigating mitochondrial damage， inhibiting inflammasome assembly and activation， and blocking pro-inflammatory cytokine release.

OBJECTIVE To investigate the ameliorative effects of Imperatae Rhizoma （RI） extract against doxorubicin （DOX）-induced myocardial injury and its potential molecular mechanisms. METHODS Network pharmacology was employed to screen for target overlap between the predicted core targets of RI’s active components and targets associated with myocardial injury， followed by gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analyses. Based on the network pharmacology results， a DOX-induced myocardial injury mouse model was established using male C57BL/6J mice to observe the effects of RI extract [1 g/（kg·d）] on the survival rate， body weight， and cardiac damage. A DOX-injured HL-1 cardiomyocyte model was established to assess the effects of different mass concentrations of RI extract （50， 100， 200 μg/mL） on mitochondrial membrane potential， adenosine triphosphate （ATP） production， reactive oxygen species （ROS） generation， apoptosis， and expression of the relevant target proteins. The mechanism was validated by transfecting with small interfering RNA of estrogen receptor 1 （ESR1）. RESULTS A total of 58 overlapping targets were screened， which were enriched in biological processes such as hormone response and hypoxia response， as well as pathways including apoptosis， tricarboxylic acid cycle， and pyruvate metabolism. Key target proteins， such as ESR1， were also identified. Animal experiments confirmed that the survival rate of mice in the DOX+RI group was obviously higher than that in the DOX group， with a slower rate of weight loss and improved pathological changes， such as cardiac atrophy and inflammatory cell infiltration， compared to the DOX group. Cell experiments showed that， compared with the DOX group， the DOX+RI groups exhibited significantly increased or upregulated mitochondrial membrane potential， relative ATP levels， and mRNA expressions of isocitrate dehydrogenase 3A （IDH3A）， succinate dehydrogenase A （SDHA） and peroxisome proliferators-activated receptor γ coactivator-1α （PGC-1α）， as well as mRNA and protein expressions of ESR1； conversely， relative ROS levels and apoptosis rates were significantly reduced （ P ＜0.05）. Following ESR1 knockdown， the anti-apoptotic effect of the RI extract on cardiomyocytes was significantly attenuated （ P ＜0.05）. CONCLUSIONS The RI extract may alleviate DOX-induced myocardial injury by activating the ESR1 signaling pathway， improving mitochondrial function， and inhibiting excessive ROS production and cardiomyocyte apoptosis.

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.

Objective To investigate the epidemiological characteristics of malaria and provide a basis for developing improved prevention and control measures. Methods Data were obtained from the Chinese Disease Prevention and Control Information System. Malaria surveillance data for Nanning City from January 1,2023, to December 31,2024, were exported from the Infectious Disease Reporting Information Management Subsystem. The characteristics of the two groups of malaria cases were compared. Results A total of 103 imported malaria cases were reported in Nanning City in 2024, representing a 38.32% decrease compared with the same period of the previous year. No statistically significant difference were observed between cases reported in 2023 and 2024 in terms of average age, gender ratio, proportion of parasite species, and monthly reporting distribution;however, statistically significant differences were found in the proportion of reporting areas and current residence areas(χ2= 13.572 and 10.355, respectively; P = 0.001 and 0.035, respectively). The proportion of cases reported in Shanglin County and the proportion of cases residing in Shanglin County were both lower than those during the same period of the previous year. Conclusions The high aggregation of imported malaria cases in Nanning City has decreased. Medical institutions in areas other than Shanglin County should strengthen their vigilance against malaria.

ObjectiveTo investigate the efficacy and safety of simplified diagnosis and treatment strategies and regimens in the treatment of patients with human immunodeficiency virus （HIV）/hepatitis C virus （HCV） co-infection. MethodsThis multicenter prospective real-world study was conducted among 198 patients with HIV/HCV co-infection who received hepatitis C treatment in 10 designated primary hospitals for hepatitis C in Yuxi， China from July 2023 to June 2024， and according to whether genotype detection was performed， they were divided into genotype detection group with 122 patients and non-genotype detection group with 76 patients. The patients were observed in terms of sustained virologic response at 12 weeks （SVR12）， safety， and liver biochemical parameters. Propensity score matching was used to match the two cohorts， using caliper matching （caliper value = 0.02） at a ratio of 1∶1. The independent-samples t test or the Wilcoxon signed-rank test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between groups. ResultsAmong the 122 patients in the genotype detection group， 63.11% （77/122） had genotype 3， while the non-genotype detection group had 76 patients； both groups achieved an SVR12 rate of 100%. From baseline to 12 weeks after treatment， both groups had a significant increase in the serum level of albumin， significant reductions in the serum levels of total bilirubin， alanine aminotransferase， aspartate aminotransferase， and alpha-fetoprotein， and a significant reduction in FibroScan value （all P<0.05）. A total of 54 patients （27.27%） experienced at least one adverse reaction， and anemia was the most common adverse reaction （38 patients， 19.19%）， with an incidence rate of 50.00% （33/66） in patients with liver cirrhosis. HIV viral load remained <50 IU/mL before and after treatment， and there was no significant change in CD4⁺ T lymphocyte count after treatment （Z=-0.969， P=0.202）. Compared with the genotype detection group， the non-genotype detection group had a significantly shorter time from positive HCV RNA testing to treatment initiation （4±2 days vs 19±4 days， t=5.321， P<0.05） and significantly lower testing costs （618±97 yuan vs 789±129 yuan， t=3.661， P<0.05）. ConclusionFor patients with HIV/HCV co-infection， the simplified diagnosis and treatment strategies can achieve a relatively high SVR12 rate， improve biochemical indicators， and effectively reduce time cost and economic burden， with a favorable safety profile.

Objective To analyze the epidemiological characteristics of hepatitis E (HE) in Huai'an City from 2015 to 2024, and construct and validate the prediction effect of the Seasonal Autoregressive Integrated Moving Average (SARIMA) model, and to provide a scientific basis for HE prevention and control. Methods Data of reported HE cases in Huai'an City from January 2015 to December 2024 were extracted from the National Disease Control and Prevention Information System. Descriptive epidemiological methods were used to analyze the temporal, regional and population distribution characteristics of HE incidence. After data preprocessing, stationarity test and randomness test, the SARIMA model was constructed. The optimal model was selected by minimizing the Akaike Information Criterion (AIC). The model performance was evaluated by adjusted R-squared (Adj R²) and root mean square error (RMSE). The monthly incidence rate of HE in Huai'an City in 2025 was predicted and compared with the actual incidence data to validate the model. Results A total of 1 713 HE cases were reported in Huai'an City from 2015 to 2024, showing a fluctuating upward trend. Huaiyin District (339 cases) and Lianshui County (334 cases) were high-incidence areas. The cases were mainly concentrated in people aged 45 and above (83.3%), males (gender ratio 2.37:1) and farmers (70.8%). The optimal model was SARIMA (1,1,1)×(2,0,1)₁₂, with residual as white noise sequence. There was no statistical difference between the actual incidence and predicted value from January to August 2025 (P>0.05). Conclusion HE incidence in Huai'an has obvious aggregation and temporal fluctuation characteristics. The SARIMA model has a good prediction effect, which can provide reference for formulating targeted prevention and control strategies.

Objective To evaluate the performance of lightweight Chinese large language models (LLMs) in answering specialized lung cancer questions, and to explore the impact of retrieval-augmented generation (RAG) on model performance. Methods Eleven lightweight Chinese LLMs with parameter sizes ranging from 7B to 32B were included. A lung cancer-specific evaluation dataset consisting of 200 questions [100 A1-type (basic knowledge) and 100 A2-type (clinical case) questions], constructed based on clinical guidelines and thoracic surgery textbooks, was used for assessment. Model performance was evaluated under two conditions (with and without RAG). Accuracy was used to assess model performance, and response latency was recorded to reflect inference efficiency. An accuracy–latency scatter plot was constructed for descriptive analysis of overall model performance. Results All models successfully completed the evaluation. With the introduction of RAG, the overall average accuracy improved from 61.68% to 76.36%. Smaller models demonstrated the most significant improvement (e.g., the accuracy of DeepSeek-7B increased from 32.50% to 60.00%, P<0.001). The average response latency increased from 12.58 s to 13.80 s. The Qwen3 series showed the best overall performance, and Qwen3-32B achieved the highest accuracy under both conditions (76.50% and 84.00%, respectively). After RAG integration, performance differences among model families were markedly reduced. Based on the accuracy-latency trade-off, Qwen3-32B achieved the best balance between accuracy and response latency under the baseline condition, whereas Qwen3-14B demonstrated superior overall performance in terms of accuracy, latency, and computational cost after RAG integration. Conclusion The integration of RAG technology improves the ability of lightweight Chinese LLMs to answer specialized lung cancer questions. Under the dual practical constraints of limited computational resources and medical data security requirements, the "lightweight model+RAG" technical framework may represent a promising deployment solution.

ObjectiveColorectal cancer (CRC) is a highly heterogeneous malignancy, and traditional Chinese medicine (TCM) syndrome differentiation is widely used in its clinical management. However, the biological basis underlying different TCM syndromes remains insufficiently understood. This study aimed to investigate the proteomic differences between qi-blood deficiency syndrome (QBDS) and damp-heat syndrome (DHS) in CRC patients and to establish a “syndrome-differential protein-herbal component” network for exploring potential molecular mechanisms and therapeutic targets associated with syndrome-specific treatment strategies. MethodsTumor tissue samples were collected from 10 patients with pathologically confirmed CRC, including 5 patients diagnosed with QBDS and 5 with DHS according to standardized TCM syndrome differentiation criteria. Tandem mass tag (TMT)-based quantitative proteomics was employed to identify differentially expressed proteins (DEPs) between the two syndrome groups. Functional enrichment analyses, including Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, were performed to characterize the biological functions and signaling pathways associated with the identified DEPs. Least absolute shrinkage and selection operator (LASSO) regression analysis was further applied to screen key syndrome-related proteins and construct a core protein prediction model. Subsequently, molecular docking was conducted to evaluate the binding affinities between representative herbal compounds, astragaloside IV and berberine, and the identified core proteins. Finally, cell counting kit-8 (CCK-8) assays were performed in HCT 116 and HT-29 colorectal cancer cell lines to validate the anti-proliferative activities of these compounds in vitro. ResultsA total of 44 DEPs were identified between QBDS and DHS tissues, including 21 upregulated and 23 downregulated proteins in the QBDS group relative to the DHS group. Functional enrichment analyses revealed that these proteins were primarily associated with antiviral immune responses, regulation of inflammatory signaling, NF‑κB signaling pathways, cholesterol metabolism, and other biological processes relevant to tumor progression and host immune regulation. LASSO regression analysis identified eight core proteins with potential syndrome-specific significance. Among them, ST7, GPCPD1, and PODXL were closely associated with QBDS, whereas FAT1, GRB7, KRT7, MAFF, and MMP8 were associated with DHS. Molecular docking demonstrated favorable interactions between astragaloside IV and QBDS-related proteins, with binding energies lower than -5 kcal/mol, indicating stable binding activity. Berberine exhibited even lower binding energies and stronger binding specificity toward DHS-related core proteins. In vitro experiments further confirmed that both compounds inhibited CRC cell proliferation, while berberine displayed significantly greater anti-proliferative efficacy. The lowest 48 h IC₅₀ value of berberine reached 15.21 mg/L in CRC cells, indicating a stronger growth-inhibitory effect than astragaloside IV. ConclusionCRC patients with QBDS and DHS exhibit distinct proteomic characteristics, suggesting that different TCM syndromes possess unique molecular signatures. The identified core proteins may serve as potential biomarkers for syndrome differentiation, while astragaloside IV and berberine may exert therapeutic effects through targeting syndrome-specific molecular networks. These findings provide preliminary proteomic evidence supporting syndrome-guided precision integrative medicine in CRC and offer new insights into the biological basis of TCM syndrome differentiation and individualized therapeutic strategies.

Objective To explore the feasibility of the endoscopic occipital transtentorial transpineal-recess (EOTT-TR) approach for treatment of craniopharyngiomas within the third ventricle. Methods The clinical and imaging data of a 54-year-old female patient with craniopharyngioma was reviewed. The patient was presented with progressive visual impairment and headache for six months. Endocrine evaluation indicated mild impairment of the pituitary-hypothalamic axis function. Imaging revealed a large solid tumor was entirely confined within the third ventricle, maximal diameter of approximately 4.7 cm. The lesion was resected via right EOTT-TR approach, which involved upward retraction of the pineal gland under the 3D endoscopy, and accessing the third ventricle through the pineal recess. Following resection, pathological diagnosis was performed, and postoperative complications were observed. Results Subtotal resection was achieved. Postoperatively, central diabetes insipidus, diplopia and upward gaze dysfunction occurred, but improved after 3 months of follow-up. MRI confirmed subtotal resection of the tumor, and the vision of the patient was improved, and the Karnofsky performance status (KPS) score increased from 80 points to 90 points at 3 months after operation. The pathological diagnosis was papillary craniopharyngioma (WHO grade Ⅰ). Conclusions The EOTT-TR approach provides a unique postero-superior to antero-inferior perspective, allowing full exposure of the third ventricle. It is particularly advantageous for treating craniopharyngiomas originating from the antero-inferior wall of the third ventricle, enabling tumor resection while preserving hypothalamic function without affecting visual acuity or visual fields. Therefore, for craniopharyngiomas strictly confined within the third ventricle, the EOTT-TR approach is a feasible surgical approach.