OBJECTIVE To investigate the effects and mechanism of the Yishen paidu formula on renal fibrosis in rats with chronic renal failure （CRF） through the reactive oxygen species （ROS）/thioredoxin-interacting protein （TXNIP）/NOD-like receptor thermal protein domain associated protein 3 （NLRP3） pathway. METHODS Rats were randomly divided into control group， model group， Yishen paidu formula low-dose （Yishen paidu formula-L） group， Yishen paidu formula high-dose （Yishen paidu formula- H） group， Yishen paidu formula-H+pcDNA-NC group， and Yishen paidu formula-H+ pcDNA-TXNIP group， with 10 rats in each group. Except for control group， all other rats were fed a diet containing 0.5% adenine to establish a CRF model； the rats were then administered corresponding drugs or normal saline intragastrically or via tail vein， once daily， for 8 consecutive weeks. After the last administration， the levels of serum creatinine （Scr）， blood urea nitrogen （BUN）， ROS， superoxide dismutase （SOD）， malondialdehyde （MDA）， tumor necrosis factor-α （TNF-α）， interleukin （IL）-6， and IL-1β were measured in each group. Pathological changes in renal tissue were observed， and the protein expression levels of Collagen Ⅲ， α-smooth muscle actin （α-SMA）， transforming growth factor-β1 （TGF-β1）， TXNIP and NLRP3 in renal tissue were detected. RESULTS Compared with model group， the renal histopathological damage and fibrosis of rats in Yishen paidu formula-L group and Yishen paidu formula-H group were significantly alleviated. The levels of Scr， BUN， ROS， MDA， TNF- α， IL-6 and IL-1β， and the protein expressions of Collagen Ⅲ， α-SMA， TGF-β1， TXNIP and NLRP3 were significantly decreased， while SOD levels were significantly increased （P＜0.05）. Moreover， the changes were more pronounced in the Yishen paidu formula-H group （P＜0.05）. Compared with Yishen paidu formula-H+pcDNA-NC group， above indexes of rats in Yishen paidu formula-H+pcDNA-TXNIP group were reversed significantly （P＜0.05）. CONCLUSIONS Yishen paidu formula can inhibit renal fibrosis in CRF rats by suppressing the ROS/TXNIP/NLRP3 pathway.

[摘 要] 目的：探究着丝粒蛋白M（CENPM）在脑胶质瘤中的表达特征、临床预后价值及其对肿瘤恶性生物学行为的调控机制，为脑胶质瘤的精准治疗提供潜在靶点。方法：基于中国胶质瘤基因组图谱（CGGA）和癌症基因组图谱（TCGA）数据库分析CENPM在胶质瘤中的表达及其与患者临床病理特征和预后的相关性。通过基因本体论（GO）分析、京都基因与基因组百科全书（KEGG）富集分析和单细胞转录组分析探索CENPM的生物学功能和作用机制。WB法检测CENPM在胶质瘤细胞（LN-18、LN-229、U-138MG、U-251MG）和正常胶质细胞（HEB）中的表达；构建CENPM敲低细胞后，通过CCK-8、集落形成、Transwell和划痕实验评估恶性表型改变。结果：CENPM在WHO高级别胶质瘤中呈高表达（P < 0.05），与肿瘤恶性程度正相关。高表达组患者总体生存期显著短于低表达组（P < 0.01），Cox回归证实CENPM是影响胶质瘤患者预后的独立危险因素（P < 0.05）。功能富集分析结果显示CENPM相关基因主要富集于细胞周期调控、PI3K-Akt通路和免疫相关过程。单细胞分析结果显示CENPM主要在CD8⁺ T细胞高表达，并通过PTN-PTPRZ1/NCL配受体调控细胞通信。体外实验证实CENPM在胶质瘤细胞表达高于正常胶质细胞（LN-18：P < 0.01，LN-299：P < 0.05）；敲低CENPM显著抑制迁移（P < 0.05），但增强集落形成，提示其在肿瘤进展中的双重调控作用。结论：CENPM作为胶质瘤独立预后危险因子，通过调控细胞周期、PTN通路和免疫微环境驱动肿瘤进展，其差异化调控机制（抑制迁移、促进增殖）具有潜在的临床转化价值，可作为分子分型和靶向治疗候选标志物。

ObjectiveTo explore the establishment of a rat model of diabetic macrovascular atherosclerosis （DMA） with Qi and Yin deficiency syndrome induced by high-fat diet， streptozotocin （STZ）， and Yin-depleting herbs， and to evaluate its biological characteristics. MethodsForty SD rats were randomly divided into a blank group （n=10） and a modeling group （n=30）. Except for the blank group， rats in the model group were fed a high-fat diet for 4 weeks， followed by intraperitoneal injection of STZ （30 mg·kg^-1） to establish a diabetic model. Twenty-four successfully modeled diabetic rats were randomly divided into a model group （n=7）， a Qi and Yin deficiency syndrome group （n=8）， and a counter-syndrome group （n=9）. Except for the model group， rats received intragastric administration of Yin-depleting herbs （1.2 g·kg^-1） for 8 weeks. The counter-syndrome group was further treated with Shenqi compound formula （1.69 g·kg^-1） for an additional 8 weeks. General condition and body weight were recorded， and syndrome-related indicators were assessed， including precordial temperature， skin moisture content， grip strength， open-field test performance， and tongue appearance. Serum levels of vascular endothelial growth factor （VEGF）， endothelin-1 （ET-1）， vascular cell adhesion molecule-1 （VCAM-1）， insulin-like growth factor-1 （IGF-1）， and monocyte chemotactic protein-1 （MCP-1） were measured by enzyme-linked immunosorbent assay （ELISA）. Fasting blood glucose， blood lipids， hemorheological parameters， and coagulation function were analyzed using an automatic biochemical analyzer. Vascular ultrasound and hematoxylin-eosin （HE） staining were used to evaluate vascular lesions. ResultsIn terms of syndrome manifestations， compared with the blank group， body weight increased rapidly during the first 5 weeks in the model， Qi and Yin deficiency， and counter-syndrome groups. After STZ injection combined with Yin-depleting herbal administration at week 5， body weight decreased significantly （P<0.01） and continued to decline until the end of the experiment. Rats exhibited decreased activity， irritability， coarse and yellowish fur with obvious shedding， polydipsia， polyphagia， frequent urination， and dry stools， which were most pronounced in the Qi and Yin deficiency group. Grip strength decreased， peak activity time occurred earlier， total distance in the open-field test was reduced， and residence time was prolonged. Precordial temperature decreased （P<0.01）， while paw temperature increased （P<0.05）， and skin moisture and oil content were reduced （P<0.05， P<0.01）. In terms of disease-related indicators， compared with the blank group， fasting blood glucose was significantly increased （>16.7 mmol·L^-1） in the model and Qi and Yin deficiency groups， and blood lipid levels were significantly elevated （P<0.05）. Vascular-related factors ET-1， MCP-1， VCAM-1， and VEGF were significantly increased （P<0.05，P<0.01）， while IGF-1 was significantly decreased （P<0.01）. Pathological examination of the aortic valve showed valvular thickening and structural disorganization. Carotid artery examination revealed discontinuity of the intima， foam cell accumulation beneath the intima， disordered smooth muscle arrangement， and widened intercellular spaces. Compared with the model group， ET-1， MCP-1， and VEGF levels were significantly decreased in both the Qi and Yin deficiency group and the counter-syndrome group. The reductions in ET-1 and MCP-1 were more pronounced in the Qi and Yin deficiency group （P<0.01）， while the decrease in VCAM-1 was more significant in the counter-syndrome group （P<0.05）. Compared with the blank group， the Qi and Yin deficiency group showed significantly prolonged activated partial thromboplastin time （APTT）， thrombin time （TT）， and prothrombin time （PT） （P<0.01）. The erythrocyte deformability index （TK）， erythrocyte sedimentation rate， erythrocyte electrophoresis index， and whole blood low-shear viscosity all showed increasing trends. Vascular ultrasound revealed reduced arterial blood flow velocity， increased vascular resistance， and intimal thickening without plaque formation. The aortic intima showed no obvious overall thickening， with only occasional localized thickening and foam cell presence， and carotid artery injury was observed. ConclusionA rat model of DMA with Qi and Yin deficiency syndrome was successfully established using high-fat diet feeding combined with STZ injection and Yin-depleting herbal administration. Shenqi compound formula effectively alleviated Qi and Yin deficiency syndrome， regulated glucose and lipid metabolism， improved hemorheological and coagulation function， reduced vascular lesion severity， and demonstrated potential for early prevention and treatment of DMA.

ObjectiveThis paper aims to investigate the effect and mechanism of Runmu Xiaoyao powder on mice with dry eye and the syndrome of liver depression-heat syndrome based on the toll-like receptor 4 （TLR4）/myeloid differentiation primary response protein 88 （MyD88）/nuclear factor-κB （NF-κB） signaling pathway. MethodsSixty-six C57BL/6J female mice were randomly divided into a normal group， a model group， a sodium hyaluronate group， and high-， medium-， and low-dose Runmu Xiaoyao powder groups， with 11 mice per group. Except for those in the normal group， mice in the other groups were subjected to mouse models with dry eye and liver depression-heat syndrome by instilling a benzalkonium chloride solution and applying chronic pain stimulation in a dry environment. After modeling， mice in the high-， medium-， and low-dose Runmu Xiaoyao powder groups were administered intragastrically with 29.7， 14.85， 7.43 g·kg^-1， respectively， twice a day for 14 consecutive days. The mice in the sodium hyaluronate group received 5 μL of sodium hyaluronate eye drops in each eye twice daily. The mice in the normal and model groups were administered intragastrically with an equal volume of deionized water. Measurements were taken of tear secretion in mice， irritability scores， corneal fluorescein staining， and histopathological changes in the cornea， lacrimal glands， meibomian glands， and liver tissue. Enzyme-linked immunosorbent assay （ELISA） was used to detect the levels of interleukin-1β （IL-1β） and tumour necrosis factor-α （TNF-α） in serum. Immunohistochemistry （IHC） was used to detect the protein expression of IL-1β and TNF-α in corneal and lacrimal gland tissues. Real-time quantitative polymerase chain reaction（Real-time PCR） and Western blot were employed to detect the mRNA and protein expressions of TLR4， MyD88， and NF-κB p65 in corneal， lacrimal gland， and meibomian gland tissues. ResultsCompared with those in the normal group， mice in the model group exhibited significantly reduced tear secretion， significantly higher irritability scores， and more pronounced corneal fluorescence staining， with marked pathological damage observed in the cornea， lacrimal glands， meibomian glands， and liver tissue. IL-1β and TNF-α levels in serum were significantly elevated. The protein expressions of IL-1β and TNF-α in corneal and lacrimal gland tissues， as well as the mRNA and protein expressions of TLR4， MyD88， and NF-κB p65 in corneal， lacrimal gland， and meibomian gland tissues， were all significantly increased （P<0.01）. Compared with the model group， the sodium hyaluronate group and Runmu Xiaoyao powder groups with different doses exhibited increased tear secretion to varying degrees， alleviated corneal fluorescence staining and histopathological damage， reduced IL-1β and TNF-α levels in serum， and downregulated protein expressions of IL-1β and TNF-α in corneal and lacrimal gland tissues， as well as the mRNA and protein expressions of TLR4， MyD88， and NF-κB p65 in corneal， lacrimal gland， and meibomian gland tissues. The high-dose Runmu Xiaoyao powder group demonstrated a more pronounced effect， with multiple indicators showing superior results compared to those in the sodium hyaluronate group （P<0.05， P<0.01）. ConclusionRunmu Xiaoyao powder down-regulates the TLR4/MyD88/NF-κB signaling pathway activity in the cornea， lacrimal glands， and meibomian glands of model mice with dry eye and liver depression-heat syndrome， thereby suppressing inflammatory responses and mitigating ocular surface tissue damage. The therapeutic effect is dose-dependent， and the high-dose group exerts the most prominent effect.

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.

To address the growing challenge of an increasing number of elderly lung cancer patients amidst China's aging population and to fill the gap in quality control standards for surgical treatment in this special population, this study aimed to develop a standardized surgical evaluation system for elderly lung cancer patients tailored to China's national conditions. The system was established through a literature review, integrated the pathophysiological characteristics of elderly patients, and was constructed following review, feedback, and revision by experts from multiple thoracic surgery centers. Employing a 100-point scoring system, it comprises three primary domains: physical infrastructure and geriatric adaptability foundational conditions (10 points); management level and perioperative care models (20 points); and technical proficiency and clinical outcomes (70 points). The system places a strong emphasis on geriatric adaptability, proposing specific, quantifiable indicators for age-friendly facility modifications, control of elderly-specific complications, multidisciplinary collaboration, and standardized perioperative management. It provides a convenient and measurable assessment tool for quality control in the surgical treatment of elderly lung cancer in China, which is expected to promote the standardization and homogenization of diagnosis and treatment.

Objective To investigate the epidemiological characteristics and changing trend of typhus in Shaanxi Province from 2005 to 2023 to provide a scientific basis for its prevention and control. Methods Excel 2007, SPSS 25.0, Joinpoint 4.9.1.0, and Geoda 1.6 were used for data collection and statistical analysis. Super Map was used for data visualization to describe the changing characteristics of the disease. Results A total of 394 typhus cases were reported in Shaanxi Province from 2005 to 2023. The average annual incidence of typhus was 0.054/100 000, showing a dynamic fluctuation trend(AAPC=-3.3, t=-0.3, P>0.05). The cases were mainly concentrated in Baoji, Hanzhong and Xi′an, accounting for 78.68%. The incidence peak was from May to October, accounting for 64.21% of annual incidence. The epidemic season was from May to October and December. The incidence of the disease was concentrated in the 40-69 age group, accounting for 58.88%, and the sex was 1.07:1. The main occupation was farmers, accounting for 72.08%. The median time from onset to diagnosis was 7 days. Global spatial autocorrelation analysis showed that there were significant spatial autocorrelations in 11 years from 2005 to 2023(P<0.05). Local spatial autocorrelation analysis detected a total of 43“high-high”clustering areas, mainly concentrated in Baoji City. Conclusions The overall incidence of typhus in Shaanxi Province showed a dynamic fluctuation trend, with notable seasonal and regional aggregation. The incidence of typhus was higher in middle-aged and elderly people in rural areas. Surveillance should be strengthened in typhus endemic areas in summer and autumn, and health education should be conducted for key population to form good health habits and reduce the incidence of typhus.

Objective To compare the performance of 7 Chinese-developed GenAI models (DeepSeek, Wenxin Yiyan, Tongyi, Doubao, Kimi, Hunyuan, and iFLYTEK Spark) in responding to common diseases of the pediatric genitourinary system and to explore their potential applications.Methods A total of 80 questions covering basic disease information, diagnosis, treatment, and prognosis related to “hypospadias, hydronephrosis, and cryptorchidism” were developed as prompts.The models were tested under 3 modes:“quick thinking, ”“deep thinking, ” and “deep thinking + internet access.” The results were evaluated in a blinded review by two pediatric urologists.The responses were graded into 4 levels—A, B, C, and D—based on accuracy, completeness, and relevance.The proportions of responses rated as A and A+B were statistically analyzed and compared across the different models/modes.Results The “deep thinking” mode of DeepSeek demonstrated the best performance, with 88% of responses rated as A and 96% rated as A+B.DeepSeek (deep thinking + internet access), Doubao (quick thinking), Hunyuan (deep thinking), and Doubao (deep thinking + internet access) followed closely, also showing excellent response capabilities.Among the top 5 models/modes, significant differences were observed in the proportion of Alevel responses (P＜0.05), while differences in the proportion of A+B-level responses were not statistically significant (P＞0.05).Conclusion Certain Chinese-developed GenAI models, represented by DeepSeek (deep thinking), demonstrate significant application potential.However, they still cannot consistently provide recommendations rated at the A+B level (recommended grade or higher) with 100% accuracy.In clinical practice, both doctors and patients should view GenAI as an auxiliary tool for education and information acquisition rather than as a final decision-making authority.All information must be reviewed and confirmed by professional physicians.

OBJECTIVE To construct three-class （insufficient， normal， excessive） and two-class （insufficient， normal） models for predicting plasma concentration of valproic acid （VPA）， and compare the performance of these two models， with the aim of providing a reference for formulating clinical medication strategies. METHODS The clinical data of 480 patients who received VPA treatment and underwent blood concentration test at the Xi’an International Medical Center Hospital were collected from November 2022 to September 2024 （a total of 695 sets of data）. In this study， predictive models were constructed for target variables of three-class and two-class models. Feature ranking and selection were carried out using XGBoost scores. Twelve different machine learning algorithms were used for training and validation， and the performance of the models was evaluated using three indexes: accuracy， F1 score， and the area under the working characteristic curve of the subject （AUC）. RESULTS XGBoost feature importance scores revealed that in the three-class model， the importance ranking of kidney disease and electrolyte disorders was higher. However， in the two-class model， the importance ranking of these features significantly decreased， suggesting a close association with the excessive blood concentration of VPA. In the three-class model， Random Forest method performed best， with F1 score of 0.704 0 and AUC of 0.519 3 on the test set； while in the two-class model， CatBoost method performed optimally， with F1 score of 0.785 7 and AUC of 0.819 5 on the test set. CONCLUSIONS The constructed three-class model has the ability to predict excessive VPA blood concentration， but its prediction and model generalization abilities are poor； the constructed two-class model can only perform classification prediction for insufficient and normal blood concentration cases， but its model performance is stronger.

The ventral anterior (VA) nucleus of the thalamus is a major target of the basal ganglia and is closely associated with the pathogenesis of Parkinson's disease (PD). Notably, the VA receives direct innervation from the hypothalamic histaminergic system. However, its role in PD remains unknown. Here, we assessed the contribution of histamine to VA neuronal activity and PD motor deficits. Functional magnetic resonance imaging showed reduced VA activity in PD patients. Optogenetic activation of VA neurons or histaminergic afferents significantly alleviated motor deficits in 6-OHDA-induced PD rats. Furthermore, histamine excited VA neurons via H1 and H2 receptors and their coupled hyperpolarization-activated cyclic nucleotide-gated channels, inward-rectifier K⁺ channels, or Ca²⁺-activated K⁺ channels. These results demonstrate that histaminergic afferents actively compensate for Parkinsonian motor deficits by biasing VA activity. These findings suggest that targeting VA histamine receptors and downstream ion channels may be a potential therapeutic strategy for PD motor dysfunction.
Animals ; Histamine/metabolism* ; Male ; Oxidopamine/toxicity* ; Rats ; Ventral Thalamic Nuclei/physiopathology* ; Rats, Sprague-Dawley ; Disease Models, Animal ; Parkinson Disease/metabolism* ; Neurons/physiology* ; Humans ; Optogenetics