ObjectiveTo investigate the mechanisms by which Renshentang treats atherosclerosis （AS） in mice， focusing on the regulation of endothelial inflammatory responses mediated by transient receptor potential vanilloid subtype 1 （TRPV1）. MethodsAn AS model was established in apolipoprotein E knockout （ApoE^-/-） mice fed a high-fat diet. The mice were randomly divided into a simvastatin group （0.02 g·kg^-1·d^-1） and low-， medium-， and high-dose Renshentang groups （1.77， 3.54， 7.08 g·kg^-1·d^-1）， with 12 mice in each group. ApoE^-/- mice were fed a high-fat diet and treated simultaneously. C57BL/6J mice fed a normal diet served as the normal group （n=9）. After continuous administration for 12 weeks， mice were anesthetized and the aortas were collected. Oil Red O staining was used to observe lipid plaque formation in the aorta. Hematoxylin-eosin （HE） staining was performed to examine pathological changes in the aortic root. Immunohistochemistry was used to analyze the levels of pro-inflammatory factors tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）， as well as the expression of TRPV1， phosphorylated phosphoinositide 3-kinase （p-PI3K）， and phosphorylated protein kinase B （p-Akt） in the aortic root. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect endothelial nitric oxide synthase （eNOS） mRNA expression in the aorta， and Western blot was used to detect TRPV1 protein expression. ResultsCompared with the normal group， the model group showed a significant increase in aortic plaque formation （P<0.01） and significantly elevated levels of TNF-α and IL-1β in the aortic root （P<0.01）. The expression levels of TRPV1， p-PI3K， and p-Akt were decreased （P<0.05， P<0.01）， and eNOS mRNA expression was reduced （P<0.05， P<0.01）. Compared with the model group， all Renshentang groups significantly reduced aortic plaque formation （P<0.01）， significantly decreased TNF-α and IL-1β levels （P<0.01）， and markedly increased the expression levels of TRPV1， p-PI3K， p-Akt， and eNOS mRNA （P<0.05， P<0.01）. ConclusionRenshentang may inhibit endothelial inflammation and suppress the formation of AS by increasing TRPV1 protein expression and up-regulating the PI3K/Akt/eNOS signaling pathway， which may be one of the molecular mechanisms underlying its therapeutic effect against AS.

ObjectiveTo delineate imaging findings using an imaging platform and investigate the correlation between MRI characteristics of spinal cord atrophy and clinical diagnosis in children with spinal cord injury (SCI). MethodsImaging data of 150 children with SCI admitted to Beijing Bo'ai Hospital, China Rehabilitation Research Center, from January, 2002 to March, 2024 were collected and imported into the imaging platform. The anteroposterior and transverse diameters of the middle part of the spinal cord at the cross-section with the most severe atrophy were measured, and the relevant indicators of the previous normal spinal cord segment were measured as controls; the radiomic features were extracted. Clinical data of the children including gender, age, cause of injury, sensory level, motor level, spinal cord injury level, injury severity and disease course were collected. ResultsSpinal cord atrophy was identified in 81 cases (54%), among which 78 cases (96%) were American Spinal Injury Association Impairment Scale (AIS) grade A and 3 cases (4%) were AIS grade C. The upper boundary of the spinal cord atrophy site strongly correlated with the injury level, motor level and sensory level (r > 0.8, P < 0.001). ConclusionMore than half of children with SCI may develop secondary spinal cord atrophy, the vast majority of whom suffer from complete spinal cord injury; the upper boundary of spinal cord atrophy is correlated with the injury level.

Objective To analyze the case data of farmers' foodborne disease surveillance reports in Guizhou Province from 2022 to 2024, and to provide reference for the precise prevention and control of foodborne diseases among farmers in Guizhou Province. Methods Case data of foodborne disease surveillance reports of farmers were systematically collected from 2022 to 2024 in Guizhou Province. Descriptive epidemiological methods were used to analyze the temporal, geographical, and demographic distribution of foodborne diseases among farmers, along with their primary clinical symptoms and pathogen detection results. Results From 2022 to 2024, a total of 22,882 cases of foodborne diseases were reported among farmers in Guizhou Province. The majority of clinical symptoms (97.81%) were related to the digestive system, with summer being the peak season. While females outnumbered males, the gender difference was statistically insignificant (P >0.05). The 36-55 age group accounted for the highest proportion (38.83%), with Zunyi City (34.89%) and Qiandongnan Prefecture (23.21%) reporting the most cases. Fungal products were the most frequently reported suspected food items (26.96%), and home-made preparation was the primary processing method (58.63%). A total of 1 210 fecal samples were collected through active monitoring with an overall detection rate of 13.22%. Norovirus showed the highest detection rate (9.92%, 120/1 210). Statistically significant differences were observed among different seasons, age groups, regions, types and processing methods of suspected food exposure, and pathogen detection rates (P <0.001). Conclusion Foodborne disease prevention and control among farmers in Guizhou Province should focus on the risks of wild mushroom poisoning in summer and homemade foods, and continuously improve farmers' awareness of the dangers of foodborne diseases and food safety.

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 explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

Purpose To investigate interhemispheric homotopic functional connectivity in patients with neuropsychological systemic lupus erythematosus(NPSLE)during resting state and its relationship with clinical indicators and neuropsychological scales.Materials and Methods This prospective study enrolled 35 patients with NPSLE and 31 healthy controls(control group)from Taizhou People's Hospital Affiliated to Nanjing Medical University(June 2020 to March 2023).All participants underwent resting state functional MRI and completed neuropsychological assessments including mini-mental state examination,Montreal cognitive assessment,hospital anxiety and depression scale,fatigue scale for motor and cognitive functions,along with laboratory tests(C3,C4,IgA,IgM,IgG).Image preprocessing and voxel-mirrored homotopic connectivity(VMHC)calculations were performed using DPABI V7.0 on Matlab R2013b.Between-group differences in VMHC values were compared,and correlations between VMHC values in significant regions and neuropsychological/clinical data were analyzed.Results The NPSLE group demonstrated significantly lower mini-mental state examination and Montreal cognitive assessment scores compared with those in control group(t=-6.297,-7.001,both P=0.001).Patients with NPSLE exhibited significantly decreased VMHC values in bilateral parahippocampal gyri,precentral gyri,middle frontal gyri,and medial/paracingulate gyri compared with those in control group(family-wise error corrected,voxel-level P<0.001,cluster-level P<0.05).In the NPSLE group,VMHC values in precentral gyri showed positive correlation with IgA levels(r=0.351,P=0.039),while VMHC values in medial/paracingulate gyri positively correlated with IgA(r=0.345,P=0.043)and negatively with C4(r=-0.368,P=0.030).Conclusion Patients with NPSLE demonstrate abnormal interhemispheric homotopic functional connectivity,and the correlation between imaging metrics and clinical data in differential brain regions may facilitate early diagnosis of NPSLE while providing novel insights into the neuropathological mechanisms of cerebral injury.

The accurate prediction and evaluation of lymphatic vascular invasion(LVI)are extremely important for the prog-nosis of breast cancer patients.Postoperative histopathology has certain limitations in predicting lymphatic vascular invasion,and mag-netic resonance imaging(MRI)technology,with its high resolution and multi-parameter imaging characteristics,provides a more effec-tive non-invasive means for the prediction and evaluation of lymphatic vascular invasion.With the continuous development of the re-search field of radiomics,researchers have constructed a more accurate prediction model of lymphatic vascular invasion by deeply ana-lyzing a large number of radiological features shown in MRI images and combining with the clinical data of patients.This article re-views the recent research progress of MRI in the field of predicting lymphatic vascular invasion of breast cancer.The purpose of this article is to provide a scientific basis for the clinical treatment of breast cancer patients through accurate identification of lymphatic vascular invasion status before surgery,and to assist clinicians in formulating more personalized treatment plans for patients.

Objective:To analyze the correlation of serum salt-induced kinase 2 (SIK2) and receptor activator of nuclear factor κB ligand (RANKL) expression levels with osteoporosis in perimenopausal women.Methods:A total of 500 perimenopausal women admitted to the Second Hospital of Tianjin Medical University from Jan. 2023 to Jun. 2023 were studied and separated into osteoporosis group and non-osteoporosis group according to with or without osteoporosis. The general data, serum SIK2 and RANKL expression levels and bone metabolism indexes [type I collagen carboxy peptide (CTX), procollagen I N-Terminal propeptide (PINP), and osteocalcin of N-MID-Osteocalcin (N-MID-OT) ] were compared between the two groups. The correlation of the expression levels of serum SIK2 and RANKL with bone metabolism indexes was analyzed by Pearson correlation; The risk factors of osteoporosis in perimenopausal women were analyzed by Logistic multi-factor model. Results:Of the 500 patients, 88 had osteoporosis (17.6%) ; The serum levels of SIK2 and RANKL, CTX, PINP and N-MID-OT in osteoporosis group were significantly higher than those in non-osteoporosis group ( t=7.53, 13.11, 19.69, 28.79, 26.14, P<0.05). Pearson correlation analysis showed that serum SIK2 and RANKL levels were significantly positively correlated with all indexes of bone metabolism ( r=0.541, 0.480, 0.447; r=0.369, 0.516, 0.482, P<0.05). Logistic regression analysis showed that the number of births, diabetes, SIK2, RANKL and bone metabolism were the factors affecting the incidence of osteoporosis in perimenopausal women ( OR=2.123, 2.243, 3.083, 4.773, 3.789, 2.927, 2.633, P<0.05) . Conclusions:SIK2 and RANKL may be involved in the pathogenesis of osteoporosis by promoting bone turnover imbalance. Together with fertility times, diabetes mellitus and bone metabolism indexes, SIK2 and RANKL are all factors in the development of osteoporosis in perimenopausal women.

The UL54 protein is a nonstructural protein of the pseudorabies virus(PRV).Electron microscopy observations showed that most of particles of recombinant PRV(rPRV-△UL54)with a deletion of the UL54 gene had only a nucleocapsid and lacked an intact vesicle structure.The in-complete structure of the viral particles led to a significant reduction in the infection efficiency of the virus,which could not be applied in the study of the gene function and mechanism of action of UL54.In this study,the UL54 gene was cloned into the lentiviral vector pLVX-IRES-Puro,and af-ter lentiviral transduction,the UL54 gene was integrated into the PK-15 cell genome.A cell line(PK-15-UL54)overexpressing UL54 protein was successfully constructed and characterized by PCR,indirect immunofluorescence assay and protein immunoblotting.Replication was assayed in the PK-15-UL54 cell line after inoculation with UL54 gene deletion virus(rPRV-△UL54-Re).Elec-tron microscopy observation showed that the rPRV-△UL54-Re virus had a complete viral particle structure.Fluorescence microscopy observations showed that rPRV-△UL54-Re virus could normal-ly infect cells and replicate.The results of quantitative PCR assay showed that the replication efficiency of rPRV-△UL54-Re virus increased.Therefore,PK-15-UL54 cell line is an important tool to improve the replication efficiency of UL54 gene deletion recombinant pseudorabies virus and plays an important role in exploring the mechanistic study of UL54 gene regulation of PRV repli-cation.

Objective To establish an efficient and stable model of pelvic inflammatory disease in rats via a non-surgical method,and to evaluate its application in pharmacodynamic testing.Methods Female Sprague-Dawley rats were divided randomly into the following groups:control group;model group with phenol for 7 d;model group with phenol for 10 d;treatment group modeled with phenol;model group with low concentration of bacteria;model group with high concentration of bacteria;and treatment group modeled with bacteria.Rats in the model and treatment groups were injected with 25%phenol gel and 2×107 or 2×108 Escherichia coli and Staphylococcus aureus mixture via a non-surgical method,to construct a rat model of pelvic inflammatory disease.Rats in the treatment groups received the Chinese patent medicine Jingangteng capsules by gavage,and rats in the control group received the same volume of solvent solution.The health status,weight changes,and uterine appearance were monitored and the uterine coefficient was calculated.Pathological changes in the uterus and fallopian tubes,endometrial thickness,and number of glands were detected by hematoxylin and eosin staining.Serum levels of interleukin(IL)-1β,IL-6,and tumor necrosis factor(TNF)-α were detected by enzyme-linked immunosorbent assay.Protein expression of the macrophage marker CD68 was detected by immunofluorescence.Expression of Toll-like receptor 4(TLR4)/nuclear factor(NF)-κB pathway-related proteins in the uterus was detected by Western blot.Results The mortality rate in the model group was only 5%.Compared with the control group,model rats showed decreased body weight,increased uterine coefficient,pathological changes in the uterus and Fallopian tubes,thinner endometrium,fewer glands,significantly higher serum levels of IL-1β,IL-6,and TNF-α and more macrophages in the uterine tissue,and activation of the TLR4/NF-κB signaling pathway.The 7 d phenol and low-concentration bacterial solution models were judged to be mild pelvic inflammatory disease models,and the 10 d phenol and high-concentration bacterial solution models were considered severe pelvic inflammatory disease models.Treatment with Jingangteng capsules relieved the pathological symptoms in the uterus and fallopian tubes,in line with the efficacy evaluation of clinical pelvic inflammatory disease.Conclusions We established rat models of pelvic inflammatory disease using phenol and a mixed bacterial solution via a non-surgical method,to simulate the different pathological states of pelvic inflammatory disease caused by different factors.These models will be suitable for evaluating drug efficacy and elucidating the pathological mechanism of pelvic inflammatory disease.