ObjectiveTo investigate the value of predictive models established based on machine learning methods in predicting the risk of metabolic associated fatty liver disease （MAFLD）， and to analyze its key risk factors. MethodsA retrospective analysis was performed for the 50 variables of 2 168 healthy individuals who underwent physical examination in Department of Health Assessment， Xiyuan Hospital， China Academy of Chinese Medical Sciences， from January 2021 to December 2024， including body composition， past history， and laboratory tests， and according to whether they were diagnosed with MAFLD or not， they were divided into MAFLD group with 265 individuals and non-MAFLD group with 1 903 individuals. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. Randomly split the research data into a training set and a validation set in a 70% to 30% ratio. Predictive factors were screened from the training set data using univariate analysis， LASSO regression， and multivariate Logistic regression analysis. Predictive models were then constructed using seven machine learning methods： Logistic regression， decision tree， random forest （RF）， eXtreme gradient boosting， light gradient boosting machine， support vector machine， and artificial neural network. Model performance was evaluated by plotting receiver operating characteristic curve for the validation set and calculating the area under the curve （AUC）， sensitivity， specificity， and Youden index for each model. Furthermore， the SHapley Additive exPlanation （SHAP） method was used to analyze the contribution of variables in the optimal model. ResultsThe prevalence rate of MAFLD among the 2 168 subjects was 12.22% （265/2 168）. Smoking， diastolic blood pressure， phase angle， visceral fat area， muscle fat ratio， waist-to-hip ratio， aspartate aminotransferase， non-HDL-C/HDL-C ratio， triglyceride-glucose index， and gallstones were independent risk factors for MAFLD （all P<0.05）. The seven predictive models of support vector machine， eXtreme gradient boosting， decision tree， light gradient boosting machine， artificial neural network， RF， and Logistic regression had an AUC of 0.738， 0.754， 0.757， 0.786， 0.795， 0.796， and 0.815， respectively， in the validation set， among which the RF model had the best discriminatory ability （AUC=0.796， 95% confidence interval： 0.754 — 0.839）， with a sensitivity of 81.01%， a specificity of 63.16%， and a Youden index of 44.17%. The SHAP analysis showed that visceral fat area， waist-to-hip ratio， and diastolic blood pressure were the top three predictive factors in terms of importance. ConclusionThe RF model， constructed based on body composition and clinical indicators， has a good performance in predicting the risk of MAFLD， and its interpretability can help to identify high-risk individuals in the early stage in clinical practice.

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 This study conducted molecular biological identification of the viruses carried by Culex pipiens pallens specimens collected in Shunyi District, Beijing in 2023, and observed the changes in the infection rate of the viruses carried by Cx. pipiens pallens at different collection times. Methods Cx. pipiens pallens were collected using carbon dioxide mosquito traps. The mosquito samples were ground in batches and analyzed by molecular biology technologies. The virus infection rate at different collection times was analyzed statistically. Results 17 strains of Culex pipiens pallens densovirus(CppDNV)were identified from Cx. pipiens pallens samples collected in Shunyi District, Beijing, in 2023. The nucleotide sequence analysis of the virus genome coding region showed that CppDNV was a single-stranded DNA virus with a total length of 3 335 nt, encoding 2 non-structural proteins(NS1, NS2)and 1 capsid protein(VP). The nucleotide(amino acid)sequence lengths of the three proteins were 2 376 nt(791 aa),1 092 nt(363 aa)and 1 071 nt(356 aa), respectively. Phylogenetic analysis showed that CppDNV was located in genus Brevihamaparvovirus. Statistical analysis showed no significant difference in infection rates across collection times(χ2=4.429, P=0.194). Conclusions CppDNV was identified in Cx. pipiens pallens in Beijing, and it was stably maintained in this natural population.

Objective To compare the benefits and drawbacks of primary patch expansion versus pericardial tube right ventricular-pulmonary artery connection in patients diagnosed with pulmonary atresia with ventricular septal defect (PA/VSD). Methods A retrospective study was conducted on patients diagnosed with PA/VSD who underwent primary right ventricular-pulmonary artery connection surgery at our center between 2010 and 2020. Patients were categorized into two groups based on the type of right ventricular-pulmonary artery connection: a pericardial tube group and a patch expansion group. Clinical data and imaging findings were compared between the two groups. Results A total of 51 patients were included in the study, comprising 31 males and 20 females, with a median age of 12.57 (4.57, 49.67) months. The pericardial tube group included 19 patients with a median age of 17.17 (7.33, 49.67) months, while the patch expansion group consisted of 32 patients with a median age of 8.58 (3.57, 52.72) months. In both groups, the diameter of pulmonary artery, McGoon index, and Nakata index significantly increased after treatment (P<0.001). However, the pericardial tube group exhibited a longer extracorporeal circulation time (P<0.001). The reoperation rate was notably high, with 74.51% of patients requiring further surgical intervention, including 26 (81.25%) patients in the patch expansion group and 12 (63.16%) patients in the pericardial tube group. No statistical differences were observed in long-term cure rates or mortality between the two groups (P＞0.005). Conclusion In patients with PA/VSD, both patch expansion and pericardial tube right ventricular-pulmonary artery connection serve as effective initial palliative treatment strategies that promote pulmonary vessel development and provide a favorable foundation for subsequent radical operations. However, compared to the pericardial tube approach, the patch expansion technique is simpler to perform and preserves some intrinsic potential for pulmonary artery development, making it the preferred procedure.

Objective: To investigate the trends in incidence and mortality of lung cancer in Huangpu District, Shanghai Municipality from 2002 to 2019, so as to provide the evidence for formulating lung cancer prevention and control measures. Methods: Data of lung cancer incidence and mortality among residents in Huangpu District from 2002 to 2019 were collected through the Shanghai Cancer Registration and Reporting Management System. The crude incidence and mortality of lung cancer was calculated, and standardized by the data from the Chinese Fifth National Population Census in 2000 (Chinese-standardized rate) and the Segi's world standard population in 1960 (world-standardized rate). The trends in incidence and mortality of lung cancer among residents by age and gender were evaluated using annual percent change (APC). Results: A total of 12 965 cases of lung cancer were reported in Huangpu District from 2002 to 2019, and the crude incidence rate was 80.66/105, the Chinese-standardized incidence rate was 34.54/105, and the world-standardized incidence rate was 31.30/105, all showing upward trends (APC=4.588%, 2.933% and 3.247%, all P<0.05). A total of 10 102 deaths of lung cancer were reported, and the crude mortality rate was 62.30/105, showing an upward trend (APC=0.959%, P<0.05); the Chinese-standardized mortality was 25.93/105, and the world-standardized mortality was 22.05/105, both showing downward trends (APC=-1.282% and -1.263%, both P<0.05). The crude incidence and mortality rates of lung cancer in males were higher than those in females (101.39/105 vs. 60.52/105, 85.45/105 vs. 39.87/105, both P<0.05). The crude incidence and mortality rates of lung cancer showed upward trends with age (both P<0.05), reaching their peaks in the age groups of 80-<85 years (341.37/105) and 85 years or above (355.97/105), respectively. Conclusions The incidence of lung cancer showed an upward trend, while the mortality showed a downward trend in Huangpu District from 2002 to 2019. Elderly men were the high-risk group for lung cancer incidence and mortality.

ObjectiveTo explore the mechanism by which Ruyan Neixiao cream （RUC） induces ferroptosis in breast precancerous lesion （BPL） cells， and to enrich the theoretical foundation for its use in the treatment of BPL. MethodsThe inhibition of cell proliferation by 1%， 2%， and 4% concentrations of Ruyanneixiao Cream transdermal solution （RUT） was assessed using cell counting kit-8 （CCK-8） and a colony formation assay. Reactive oxygen species （ROS） were measured using the DCFH-DA probe， and the levels of ferrous ions （Fe²⁺）， glutathione （GSH）， and malondialdehyde （MDA） were determined using appropriate kits. Lipid peroxidation was detected with the C11-BODIPY^581/591 fluorescent probe. The expression of nuclear factor E₂-related factor 2 （Nrf2）， solute carrier family 7 member 11 （SLC7A11）， and glutathione peroxidase 4 （GPX4） proteins was analyzed by Western blot. The BPL rat model was constructed using 2，2′-bis（hydroxymethyl）butyric acid （DMBA） combined with estrogen and progesterone， and the rats were treated with RUC for external application. After the 12^th cycle， the rats were euthanized， and histopathological changes in breast tissue were observed by hematoxylin-eosin （HE） staining. Fe²⁺ and MDA levels in breast tissue were measured using corresponding kits. The expression of Nrf2， SLC7A11， and GPX4 proteins in BPL rat breast tissue was detected by immunohistochemistry （IHC） and Western blot. ResultsCompared with the matrix group， the cell viability of MCF-10AT cells in the 1%， 2%， and 4% RUT groups was significantly reduced （P<0.05） in a concentration-dependent manner， with the 24-hour half inhibitory concentration （IC₅₀） being 2.23%. Compared with the 4% RUT group， cell viability in the RUT + Fer-1 group was significantly increased （P<0.05）. Compared with the matrix group， the colony formation rates of MCF-10AT cells in the 1%， 2%， and 4% RUT groups were significantly decreased （P<0.05）. Compared with the 4% RUT group， the cell colony formation rate of the RUT + Fer-1 group was significantly increased （P<0.05）. Compared with the matrix group， the levels of ROS and Fe²⁺ in the 1%， 2%， and 4% RUT groups were significantly increased （P<0.05）， while GSH levels were significantly decreased （P<0.05）， and MDA and lipid peroxidation levels were significantly increased （P<0.05）. Compared with the 4% RUT group， ROS and Fe²⁺ levels in the RUT + Fer-1 group were significantly reduced （P<0.05）， while GSH levels were significantly increased （P<0.05）， and MDA and lipid peroxidation levels were significantly reduced （P<0.05）. Compared with the matrix group， the protein expression levels of Nrf2， SLC7A11， and GPX4 in the 1%， 2%， and 4% RUT groups were significantly decreased （P<0.05）. Compared with the 4% RUT group， the protein expression levels of Nrf2， SLC7A11， and GPX4 in the RUT + Fer-1 group were significantly increased （P<0.05）. In the in vivo experiment， compared with the matrix group， the breast tissue histopathological status of the BPL rats in the RUC group was effectively improved， with less dilatation of the mammary ducts and more orderly duct arrangement. No pathological morphology indicative of invasive cancer was observed. Compared with the matrix group， Fe²⁺ and MDA levels in the mammary tissue of the RUC group were significantly increased （P<0.05）. Compared with the matrix group， the protein expression levels of Nrf2， SLC7A11， and GPX4 in the mammary tissue of the RUC group were significantly reduced （P<0.05）. ConclusionRUC may induce ferroptosis in BPL cells by inhibiting the Nrf2/SLC7A11/GPX4 signaling pathway， increasing Fe²⁺ accumulation， and promoting lipid peroxidation.

ObjectiveTo explore the mechanism by which Ruyan Neixiao cream （RUC） induces ferroptosis in breast precancerous lesion （BPL） cells， and to enrich the theoretical foundation for its use in the treatment of BPL. MethodsThe inhibition of cell proliferation by 1%， 2%， and 4% concentrations of Ruyanneixiao Cream transdermal solution （RUT） was assessed using cell counting kit-8 （CCK-8） and a colony formation assay. Reactive oxygen species （ROS） were measured using the DCFH-DA probe， and the levels of ferrous ions （Fe²⁺）， glutathione （GSH）， and malondialdehyde （MDA） were determined using appropriate kits. Lipid peroxidation was detected with the C11-BODIPY^581/591 fluorescent probe. The expression of nuclear factor E₂-related factor 2 （Nrf2）， solute carrier family 7 member 11 （SLC7A11）， and glutathione peroxidase 4 （GPX4） proteins was analyzed by Western blot. The BPL rat model was constructed using 2，2′-bis（hydroxymethyl）butyric acid （DMBA） combined with estrogen and progesterone， and the rats were treated with RUC for external application. After the 12^th cycle， the rats were euthanized， and histopathological changes in breast tissue were observed by hematoxylin-eosin （HE） staining. Fe²⁺ and MDA levels in breast tissue were measured using corresponding kits. The expression of Nrf2， SLC7A11， and GPX4 proteins in BPL rat breast tissue was detected by immunohistochemistry （IHC） and Western blot. ResultsCompared with the matrix group， the cell viability of MCF-10AT cells in the 1%， 2%， and 4% RUT groups was significantly reduced （P<0.05） in a concentration-dependent manner， with the 24-hour half inhibitory concentration （IC₅₀） being 2.23%. Compared with the 4% RUT group， cell viability in the RUT + Fer-1 group was significantly increased （P<0.05）. Compared with the matrix group， the colony formation rates of MCF-10AT cells in the 1%， 2%， and 4% RUT groups were significantly decreased （P<0.05）. Compared with the 4% RUT group， the cell colony formation rate of the RUT + Fer-1 group was significantly increased （P<0.05）. Compared with the matrix group， the levels of ROS and Fe²⁺ in the 1%， 2%， and 4% RUT groups were significantly increased （P<0.05）， while GSH levels were significantly decreased （P<0.05）， and MDA and lipid peroxidation levels were significantly increased （P<0.05）. Compared with the 4% RUT group， ROS and Fe²⁺ levels in the RUT + Fer-1 group were significantly reduced （P<0.05）， while GSH levels were significantly increased （P<0.05）， and MDA and lipid peroxidation levels were significantly reduced （P<0.05）. Compared with the matrix group， the protein expression levels of Nrf2， SLC7A11， and GPX4 in the 1%， 2%， and 4% RUT groups were significantly decreased （P<0.05）. Compared with the 4% RUT group， the protein expression levels of Nrf2， SLC7A11， and GPX4 in the RUT + Fer-1 group were significantly increased （P<0.05）. In the in vivo experiment， compared with the matrix group， the breast tissue histopathological status of the BPL rats in the RUC group was effectively improved， with less dilatation of the mammary ducts and more orderly duct arrangement. No pathological morphology indicative of invasive cancer was observed. Compared with the matrix group， Fe²⁺ and MDA levels in the mammary tissue of the RUC group were significantly increased （P<0.05）. Compared with the matrix group， the protein expression levels of Nrf2， SLC7A11， and GPX4 in the mammary tissue of the RUC group were significantly reduced （P<0.05）. ConclusionRUC may induce ferroptosis in BPL cells by inhibiting the Nrf2/SLC7A11/GPX4 signaling pathway， increasing Fe²⁺ accumulation， and promoting lipid peroxidation.

BACKGROUND:Spinal cord injury is a serious neurological disease that often results in severe neurological impairment. Oxidative stress is an important link in the pathological process after spinal cord injury,leading to neuronal cell death and loss of function. In recent years,natural products have shown potential application values in the treatment of oxidative stress after spinal cord injury due to their wide range of sources,diverse structures and rich biological activities. OBJECTIVE:To discuss the therapeutic effects of some natural products on oxidative stress after spinal cord injury and the related mechanisms,in order to provide new ideas and directions for antioxidant therapy of spinal cord injury. METHODS:"Spinal cord injury,oxidative stress,anti-oxidation,natural products,natural compounds,polyphenols" were used as the English and Chinese keywords in PubMed,Web of Science,Embase,Cochrane,VIP,CBM,WanFang,and CNKI databases to search relevant articles published from database inception to May 2024. Inclusion and exclusion criteria were developed,and 97 relevant articles were selected by reading titles,abstracts,and full texts. RESULTS AND CONCLUSION:Natural products such as polyphenols can directly scavenge oxidative free radicals by the phenol hydroxyl group in their structure,and alleviate oxidative stress after spinal cord injury. Some natural products can enhance the activity of relevant antioxidant enzymes in vivo and reduce oxidative stress by regulating certain signal transduction pathways. Some natural products can reduce oxidative stress after spinal cord injury by enhancing autophagy. The use of natural products to regulate oxidative stress may become an effective tool for the future clinical treatment of spinal cord injury.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

Objective Prepubertal mice are administered subcutaneously with letrozole sustained-release pellets behind the neck and treated with a high-fat diet to establish a mouse model of polycystic ovary syndrome(PCOS).The liver transcriptomes of the model mice are compared with those of the placebo control mice to investigate the underlying mechanisms of liver involvement in the pathogenesis of PCOS.Methods A customized 2 mg dose of letrozole sustained-release pellets with a 40-day release period was used.The control placebo and letrozole pellets were implanted subcutaneously in the dorsal cervical region of 3-4-week-old C57BL/6J mice(8 mice per group)to establish the control group and letrozole-induced PCOS model group.Both groups were treated with a high-fat diet starting the day after administration.The modeling period lasted for 5 weeks,during which body weight and 24-hour food intake were monitored in each group every week.When samples were collected,liver weight was recorded.Pathological changes in ovarian and hepatic tissues were examined by hematoxylin-eosin(HE)staining,while hepatic lipid deposition was observed by Oil Red O staining.The extent of macrophage infiltration in the liver was evaluated via F4/80 immunohistochemical staining,and hepatic fibrosis levels were observed by Masson's trichrome staining.Transcriptomic sequencing was performed to analyze differentially expressed genes(DEGs)in liver tissues between the control and model groups,followed by enrichment analysis of significant DEGs.Quantitative real-time fluorescent quantitative PCR(qPCR)was subsequently used to validate the expression of significant DEGs in liver tissues of both groups.Results Compared with the control group,the model group which received subcutaneous letrozole sustained-release pellets combined with a high-fat diet exhibited significantly increased body weight(P＜0.001),prominent polycystic ovarian morphology,and significantly decreased liver-to-body weight ratio(P＜0.05).However,no significant changes were observed in absolute liver weight(P＞0.05),hepatic histomorphology,or lipid deposition.Transcriptome sequencing identified 119 upregulated and 217 downregulated DEGs in the liver tissues of letrozole-treated mice,which were predominantly enriched in pathways related to cholesterol and steroid biosynthesis,steroid hormone metabolism,and inflammatory responses.qPCR validation demonstrated that mRNA expression of HSD3B2 and HMGCR was significantly upregulated in liver(P＜0.01),while mRNA expression of IL4,CCL2 and COL1A1 was downregulated(P＜0.05)in the model group compared with the control group.However,Masson's trichrome staining and F4/80 immunohistochemical analysis showed no significant changes in hepatic fibrosis or macrophage infiltration.Conclusion Subcutaneous administration of letrozole sustained-release pellets combined with a high-fat diet successfully establishes a mouse model of PCOS.The model mice exhibited significant changes in hepatic gene expression.Liver may contribute to PCOS pathogenesis through regulating cholesterol and steroid metabolism.