Objective To study the photodynamic performance and the killing effect of photodynamic therapy on lung cancer of novel chlorin compounds 2-（4-（5,15,20-triphenyl-7H,8H-porphyrin-10-yl） phenoxy） acetic acid（D1）and 4-（4-（5,15,20-triphenyl-7H,8H-porphyrin-10-yl） phenoxy） butanoic acid （D2）. Methods The ultraviolet visible absorption spectrum and fluorescence spectrum of D1 and D2 were determined. The singlet oxygen generation capacity of D1 and D2 was measured by using DPBF as singlet oxygen capture agent. Fluorescence assay was used to detect the cellular phagocytosis rate of the compounds in A549 cells, and MTT assay was used to detect their dark toxicity and phototoxicity. A nude mouse model of lung cancer was established to investigate the antitumor activity of the compounds mediated photodynamic action in vivo, and the blood concentration of D2 in nude mice, its distribution in tumor tissue and skin tissue were further detected. Results D1 and D2 had strong absorption at 652 nm with the best excitation wavelength at 429 nm and 427 nm, and the optimal emission wavelength was at about 659 nm. They also had a higher singlet oxygen generation rate than the control drug m-THPC. D1 and D2 had no dark toxicity at concentrations below 10 μmol/L, and could be ingested by A549 cells, basically reaching saturation in 18~24 hours. After laser irradiation at 650 nm wavelength, D1 and D2 showed significant antitumor activity in vivo and in vitro （P<0.01）. However, D2 could selectively accumulate in tumor tissues after administration, and the optimal treatment time was less than 30 min after administration. Conclusion D2 had excellent photodynamic antitumor activity and could selectively aggregate in tumor tissues, which had the potential to be a candidate drug for photosensitizer and treatment of lung cancer with independent intellectual property rights, and was worth further research.

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 To explore the mechanism of Shen Hong capsule in preventing and treating acute mountain sickness based on biological information platform and in vitro experiment. Methods Traditional Chinese Medicine Systems Pharmacology （TCMSP） and Traditional Chinese Medicine Information Database （TCMID） were used to obtain the active components and predicted targets of Shen Hong capsule. Therapeutic Target Database （TTD）, Disease Gene Network （DisGeNET） database and GeneCards database were used to search for the targets of acute mountain sickness related diseases, and the potential therapeutic targets were obtained. The protein-protein interaction （PPI） was analyzed by Search Tool for the Retrieval of Interacting Genes/Proteins （STRING）, the Database for Annotation, Visualization, and Integrated Discovery （DAVID） online platform was used to analyse the Gene Ontology （GO） and the Kyoto Encyclopedia of Genes and Genomes （KEGG） signal pathway enrichment. The network information was visualized by Cytoscape software, the key targets in PPI network were obtained according to the topology data, and the binding ability of main active components and key therapeutic targets were analyzed by molecular docking. The validation of the main active components was performed by liquid chromatography-mass spectrometry （LC-MS）. The hypoxia model was created by H9c2 cells, apoptosis was visualized by Hoechst33342 staining, and key target proteins were verified by Western blot. Results 91 active components, 3 main active components and 150 predicted targets were selected from Shen Hong capsule. 515 targets of altitude sickness-related diseases and 37 targets of Shen Hong capsule regulating altitude sickness-related diseases were screened out. 44 related signal pathways, such as HIF-1 signal pathway, PPAR signal pathway, drug metabolism - cytochrome P450, were enriched and analyzed. TNF, IL1B, VEGFA, NOS3, EGFR, ESR1, PPARG, NR3C1, HMOX1 and IFNG were 10 key targets. The molecular docking results showed that the docking conformations between the main active components and the key targets were stable. The three main active components of quercetin, luteolin and kaempferol were identified by LC-MS, and in vitro experiments proved that Shen Hong capsule could relieve acute hypoxia injury by regulating the expression of HIF-1α, PPARG, NOS3, and TNF. Conclusion Shen Hong capsule could regulate the body’s hypoxia response and metabolism through multi-component, multi-target and multi-channel ways, so as to prevent and treat acute mountain sickness. This study provided a direction for further exploring the mechanism of Shen Hong capsule, and also provided a theoretical basis for further development and clinical application.

ObjectiveTo observe the clinical effectiveness of horticultural therapy involving the planting of Chinese medicinal herbs （mint and lily potted plants） combined with intradermal needling therapy for generalized anxiety disorder （GAD） of liver depression transforming into fire syndrome under transcranial magnetic stimulation and basic psychological therapy， and to explore the possible mechanisms of action. MethodsA total of 180 patients with GAD of liver depression transforming into fire syndrome were randomly divided into three groups， horticultural therapy group， intradermal needling group， and horticultural therapy+intradermal needling group， with 60 patients in each. All groups received basic treatment including basic psychological therapy and transcranial magnetic stimulation. The horticultural therapy group received horticultural therapy in addition to the basic treatment； the intradermal needling group received intradermal needling therapy once a week for 8 weeks in addition to the basic treatment； the horticultural therapy+intradermal needling group received both horticultural therapy and intradermal needling therapy， following the same procedures and duration. Hamilton Anxiety Rating Scale （HAMA）， Self-Rating Anxiety Scale （SAS）， and Pittsburgh Sleep Quality Index （PSQI） scores were assessed at baseline and after 2， 4， 6， and 8 weeks of treatment. Serum levels of adrenocorticotropic hormone （ACTH） and corticosterone （CORT） were measured before treatment and after 8 weeks of treatment. Motor-evoked potential （MEP） baseline levels were recorded before treatment， and MEP amplitude ratios were compared after 1 week and 8 weeks of treatment. Clinical effectiveness and safety were evaluated after 8 weeks of treatment. Pearson correlation analysis was used to examine the relationships between serum ACTH and CORT levels， MEP amplitude， and anxiety. ResultsIn the horticultural therapy group and intradermal needling group， HAMA， SAS and PSQI scores after 4， 6， and 8 weeks treatment were lower than baseline scores （P＜0.05）. In the horticultural therapy+intradermal needling group， these scores showed a significant decline starting after 2 weeks treatment and continuing through 8 weeks after treatment （P＜0.05）. The HAMA， SAS， and PSQI scores in the horticultural therapy+intradermal needling group were significantly lower than those in the other two groups after 2， 4， 6， and 8 weeks treatment （P＜0.05）. After 8 weeks of treatment， serum CORT and ACTH levels in the horticultural therapy+intradermal needling group were significantly lower than baseline levels （P＜0.05） and were also lower than those in the horticultural therapy group and intradermal needling group at the same time point （P＜0.01）. When comparing the level after 8 weeks treatment to that after 1 week treatment， under PAS10 stimulation， the MEP amplitude ratio in the intradermal needling group decreased at 30 minutes， while in the horticultural therapy+intradermal needling group， the MEP amplitude ratio decreased at all time points （P＜0.05 or P＜0.001）； under PAS25 stimulation， the MEP amplitude ratio in the horticultural therapy group increased at 20 minutes， and in the intradermal needle group at 10 minutes （P＜0.05）. In the horticultural therapy+intradermal needling group， the MEP amplitude ratio increased significantly at all time points after treatment （P＜0.001）. The cure rate in the horticultural therapy+intradermal needling group （74.14%， 43/58） was significantly higher than that in the horticultural therapy group （30.00%， 18/60） and the intradermal needling group （48.28%， 28/58， P＜0.05）. Correlation analysis revealed that serum ACTH and CORT levels were positively correlated with HAMA scores （r = 0.488， P＜0.01； r = 0.428， P＜0.01）. Following PAS10 intervention， the MEP amplitude ratio was positively correlated with HAMA scores （r = 0.458， P＜0.01）， whereas after PAS25 intervention， the MEP amplitude ratio was negatively correlated with HAMA scores （r = -0.562， P＜0.01）. ConclusionHorticultural therapy combined with intradermal needling treatment， under transcranial magnetic stimulation and basic psychological therapy， demonstrates significant clinical effectiveness in patients with GAD of liver depression transforming into fire syndrome. Its mechanism of action may be related to the regulation of hyperactivation of the hypothalamic-pituitary-adrenal （HPA） axis and the reduction of cortical excitability.

Obesity is a chronic low-grade inflammation and a risk factor for diseases such as diabetes， hypertension， dyslipidemia， and malignant tumors， demonstrating an increasingly grim development situation. The nuclear factor-kappa B （NF-κB） signaling pathway is a key signaling pathway involved in the immune response and inflammatory response. In obese individuals， the expression of NF-κB is overactivated， which leads to abnormal inflammatory responses in the body. Therefore， it is expected to alleviate inflammation and treat obesity by regulating the NF-κB signaling pathway， which has been proven effective by a large number of studies. The available studies on the NF-κB signaling pathway mostly focus on tumors， and there is no systematic review of the mechanism of this pathway in mediating obesity and the traditional Chinese medicine （TCM） treatment. We reviewed the research progress in the pathological and physiological processes of obesity mediated by NF-κB signaling pathway and TCM treatment， aiming to give insights into the clinical treatment of obesity with TCM and provide reference targets and research directions for exploring the biological foundations and the development of new TCM preparations.

Objective: To compare the value of a body shape index (ABSI) and body roundness index (BRI) in predicting non-alcoholic fatty liver disease (NAFLD) among non-obese population, so as to provide a reference for the early identification of populations at high risk of NAFLD. Methods: Adults with a body mass index (BMI) of less than 28 kg/m2 who underwent health check-ups in Xiyuan Hospital of China Academy of Chinese Medical Sciences from 2022 to 2024 were selected as the study subjects. Demographic information, disease history, height, weight, waist circumference, blood pressure, and blood lipid indicators were collected, and ABSI and BRI were calculated. NAFLD was diagnosed using abdominal ultrasound. A multivariable logistic regression model was employed to analyze the relationships between ABSI, BRI and NAFLD among non-obese population. A generalized additive model combined with the penalized spline method was used to fit smooth curves to identify nonlinear relationships, and threshold effects were utilized to determine inflection points. The values of ABSI and BRI in predicting NAFLD among non-obese population were used the receiver operating characteristic (ROC) curve. Results: A total of 1 195 individuals were surveyed, including 345 males (28.87%) and 850 females (71.13%). A total of 348 cases of NAFLD were detected among the non-obese population, with a detection rate of 29.12%. The adjusted ABSI (sABSI) in the NAFLD group and non-NAFLD group were 7.95±0.33 and 8.08±0.34, while the BRI were 3.35±0.79 and 4.15±0.64, respectively, with statistically significant differences between the two groups (both P<0.05). Multivariable logistic regression analysis showed that, after adjusting for demographic information, disease history, blood pressure, and blood lipid indicators, both sABSI (OR=1.932, 95%CI: 1.184-3.158) and BRI (OR=1.594, 95%CI: 1.071-2.360) were significantly associated with NAFLD among non-obese population. Nonlinear positive correlations were observed between sABSI, BRI, and NAFLD among non-obese population. When sABSI≤8.46 and BRI≥2.72, both indices were positively associated with NAFLD. The area under the ROC curve for ABSI and BRI in predicting NAFLD risk among non-obese population were 0.619 and 0.782, respectively, with optimal cut-off values of 0.082 and 3.656, respectively. Conclusions ABSI and BRI show a non-linear relationship with NAFLD among non-obese population. BRI demonstrates relatively better performance in predicting NAFLD risk among this population and can serve as an auxiliary indicator for the early identification of NAFLD among non-obese population.

Objective To construct a mammography image classification assistant system suitable for Chinese population,and explore the potential of artificial intelligence technology to assist early screening of breast cancer in China.Methods Curated breast imaging subset of digital database for screening mammography(CBIS-DDSM),Mammographic image analysis society database(MIAS)and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature.The model was also tested on the Chinese breast mammography database(CBMD)provided by Huajiao Technology Co.,Ltd,and the performance was compared.Aiming at the problem that the Chinese population data are not ideal in the performance test of the open dataset training model,an optimization strategy based on the sliding window adjustment mechanism was implemented in combination with the characteristics of Chinese population data.Then a two-stage migration learning method was designed to improve the overall performance of the model,and then development of our system was carried out.Results With the sliding window adjustment mechanism and the CBMD training model after two-stage transfer learning,the accuracy of our developed system was improved from 0.50 of the open datasets to 0.80,precision from 0.54 to 0.82,sensitivity from 0.52 to 0.80,F1 value from 0.52 to 0.80,and AUC value from 0.51 to 0.89 based on the Chinese population dataset as the test set.Conclusion Through the introduction of sliding window adjustment mechanism and two-stage migration learning strategy,the performance of the breast molybdenum target image classification model has been significantly improved in the Chinese population dataset,and our system primarily achieves the purpose of assisting the classification of breast molybdenum target images for the Chinese population.

Objective: To compare the biological characteristics of human induced pluripotent stem cell-derived platelet exosomes (hiPSC-Plt-Exos) with those of conventional apheresis platelet exosomes (Plt-Exos), specifically focusing on their differential abilities to enhance the proliferation and migration of human umbilical cord mesenchymal stem cells (hUC-MSCs). Methods: Exosomes were isolated from hiPSC-derived Plt and apheresis Plt concentrate using size exclusion chromatography. These exosomes were then characterized through nanoparticle tracking analysis (NTA), transmission electron microscopy (TEM), and Western blotting. Co-culture experiments into hUC-MSCs were conducted with hiPSC-Plt-Exos and apheresis Plt-Exos, respectively. Their effects on the proliferation and migration of hUC-MSCs were assessed via cell proliferation assays and scratch tests. Results: hiPSC-Plt-Exos and apheresis Plt-Exos exhibited comparable particle sizes, morphological features (such as the characteristic cup-shaped structure), and surface markers (including CD9 and HSP70). Notably, hiPSC-Plt-Exos demonstrated a significantly greater ability to enhance the proliferation and migration of hUC-MSCs compared to apheresis Plt-Exos (P<0.05). These differences provide critical comparative data for their application in various clinical contexts. Conclusion: This study establishes a theoretical foundation for developing precise therapeutic strategies based on hiPSC-Plt-Exos. Furthermore, it underscores the necessity of selecting the appropriate type of exosomes according to the specific disease microenvironment to achieve optimal therapeutic outcomes.

Objective Vascular dementia(VD)is a common cognitive dysfunction associated with cerebrovascular disease.This study is aimed at investigating the therapeutic effect of anisodine hydromide(AH)on VD and the potential antioxidative stress mechanisms involved.Methods A VD model was established in Sprague-Dawley(SD)rats through permanent bilateral common carotid artery occlusion.The rats were divided into a sham group,a VD model group,and AH treatment groups receiving AH at low,medium,or high doses(n=4).The neurological function of the rats in each group was evaluated using the Bederson scale,and limb coordination ability was assessed using the pole climbing test.Superoxide dismutase(SOD)and malondialdehyde(MDA)levels in the serum and brain were measured by enzyme-linked immunosorbent assay(ELISA)to assess the level of oxidative stress.In addition,apoptosis was assessed by TUNEL assay,and reactive oxygen species(ROS)levels in neuronal cells were determined using dichloro-dihydro-fluorescein diacetate(DCFH-DA)probe.The potential mechanism of action of AH on M receptors was investigated using M1-M5 inhibitors.Results Compared with the sham group,the nerve function and limb coordination of rats in the VD model group were significantly impaired(P＜0.01),and the SOD levels were significantly decreased in the serum([100.70±18.95]U/mL vs.[44.22±7.11]U/mL,P＜0.001)and the brain([131.77±8.34]U/mg vs.[84.39±4.10]U/mg,P＜0.01),MDA levels were significantly increased in the serum([12.03±1.01]nmol/mL vs.[17.74±1.00]nmol/mL,P＜0.001)and the brain([4.41±0.30]nmol/mg vs.[6.17±0.70]nmol/mg,P＜0.05).AH treatment significantly improved the neurological function and limb coordination ability of VD rats.In comparison with the VD group,the high-dose AH treatment group,in particular,exhibited the most significant increase in SOD levels in the serum([44.22±7.11]U/mL vs.[98.67±0.86]U/mL,P＜0.001)and the brain([84.39±4.10]U/mg vs.[162.83±17.36]U/mg,P＜0.001),and the most significant decrease in MDA levels in the serum([17.74±1.00]nmol/mL vs.[6.68±0.06]nmol/mL,P＜0.001)and the brain([6.17±0.70]nmol/mg vs.[3.96±0.77]nmol/mg,P＜0.01).AH also reduced the number of TUNEL positive cells(P＜0.01)in a dose-dependent manner.The percentage of apoptotic cells was(36.10±9.07)％,(9.60±5.63)％,and(3.43±0.92)％,respectively,for AH treatment at low,medium,and high concentrations,indicating that AH had an inhibitory effect on apoptosis.According to findings from the in vitro experiments,AH treatment reduced the MDA content(P＜0.01),increased the SOD activity(P＜0.01),and decreased the ROS levels of HT22 and NSC-34 cells in a dose-dependent manner.M2 receptor inhibitors could reduce the ROS level in oxidative stress injury,suggesting that AH,as an M receptor antagonist,might exert its effect by inhibiting the M2 receptor.Conclusion AH modulates SOD and MDA levels and reduces oxidative stress injury,thereby improving neurological function and limb coordination and showing potential therapeutic effects in VD.The neuroprotective effects of AH may be related to its antioxidative stress and antiapoptotic mechanisms,and the M2 receptor may be a potential target of its actions.These findings provide an important theoretical basis for the development of new therapeutic strategies for VD.