ObjectiveTo evaluate the anti-inflammatory activity of the novel magnolol ester derivative YW and to investigate its effects on chondrocyte senescence and preliminary mechanisms. MethodsMagnolol and p-methylbenzoic acid were used as raw materials to synthesize the magnolol ester derivative YW （Molecular Formula： C₂₆H₂₄O₃， Molecular Weight： 384.17， HPLC Purity >96%） via DCC/DMAP-catalyzed esterification. Cytotoxicity was assessed using the CCK-8 assay. A lipopolysaccharide （LPS）-induced RAW264.7 macrophage activation model and an interleukin-1β （IL-1β）-induced rat primary chondrocyte model were established. The release and mRNA expression of inflammatory factors including nitric oxide （NO）， IL-1β， tumor necrosis factor-alpha （TNF-α）， and IL-6 were detected by enzyme-linked immunosorbent assay （ELISA）， Griess reagent method， and quantitative real-time PCR （RT-qPCR）. The expression of senescence markers such as inducible nitric oxide synthase （iNOS）， pro-interleukin-1β （pro-IL-1β）， lysine acetyltransferase 7 （KAT7）， cyclin-dependent kinase inhibitor 1A （p21）， and cyclin-dependent kinase inhibitor 2A （p16）， as well as proteins related to chondrocyte extracellular matrix synthesis and catabolism， were analyzed by Western blot （WB）. Molecular docking was performed using Discovery Studio 2019 to validate target binding. ResultsYW exhibited no significant cytotoxicity at concentrations ≤20 μmol/L. YW concentration-dependently inhibited LPS-induced macrophage inflammatory cytokine release， significantly downregulated iNOS， Pro-IL-1β protein， and inflammatory cytokine mRNA expression （P<0.01）. YW stably bound to KAT7 protein （binding energy： -94.2 kcal/mol）； YW downregulated KAT7 and aging marker protein expression in naturally aged and IL-1β-induced chondrocyte models （P<0.01）； YW regulated chondrocyte matrix synthesis and catabolic protein expression in IL-1β-induced chondrocytes （P<0.01）. ConclusionYW inhibits macrophage activation and inflammatory cytokine release while downregulating KAT7 and senescence marker protein expression in chondrocytes， thereby blocking chondrocyte senescence.

ObjectiveTo analyze the effects of the progestin-primed ovarian stimulation （PPOS） protocol on embryo euploidy rate and clinical pregnancy outcomes in infertile patients. MethodsWomen who underwent Preimplantation genetic testing for aneuploidy （PGT-A） cycles were selected as study participants （a total of 656 cycles and 3 081 blastocysts）. Participants were divided into two age groups （≤35 years and >35 years） and further stratified by ovarian stimulation protocol： the Progestin-Primed Ovarian Stimulation （PPOS） group （n=48 and 60， respectively）， the Luteal Phase Long Protocol （LP） group （n=160 and 57， respectively）， and the Gonadotropin-Releasing Hormone Antagonist Protocol （AP） group （n=220 and 111， respectively）. Baseline characteristics， ovarian stimulation outcomes， and embryo development parameters were compared among the three protocols within each age group. Additionally， clinical pregnancy outcomes of the first frozen embryo transfer （FET） cycle were compared. The primary outcome measure was the embryo euploidy rate. Results① In the ≤35 years age group， baseline follicle-stimulating hormone （bFSH） levels were significantly higher in the PPOS group compared to the LP and AP groups， and the bFSH/bLH ratio was significantly higher in the PPOS group than in the AP group （P < 0.05）. In the >35 years age group， bFSH levels in both the PPOS and AP groups were significantly higher than in the LP group （P < 0.05）.② In the ≤35 years group， there were no significant differences in the rates of metaphase II （MII） oocytes， 2-pronuclei （2 PN） zygotes， cleavage， 2 PN cleavage， blastocyst formation， high-quality embryos， or embryo euploidy between the PPOS group and either the LP or AP groups. However， the PPOS group showed significantly lower values for the following parameters compared to the other two groups： total oocytes retrieved， number of MII oocytes， number of 2 PN zygotes， number of cleaved embryos， number of 2 PN cleaved embryos， number of blastocysts formed， number of high-quality embryos， number of high-grade blastocysts， number of transferable embryos， number of cryopreserved embryos， number of biopsied blastocysts， number of euploid embryos， and the rate of obtaining at least one euploid embryo. In the >35 years group， no significant differences were observed among the PPOS， LP， and AP groups in the rates of MII oocytes， 2 PN cleavage， blastocyst formation， or in the number of euploid embryos， euploidy rate， and the rate of obtaining at least one euploid embryo. However， the PPOS group had significantly lower numbers of total oocytes retrieved， MII oocytes， 2 PN zygotes， cleaved embryos， 2 PN cleaved embryos， blastocysts formed， transferable embryos， and cryopreserved embryos compared to the LP group （P<0.05）. The high-quality embryo rate was significantly lower in the PPOS group than in the AP group （P<0.05）. The numbers of high-quality embryos， high-grade blastocysts， and biopsied blastocysts were significantly lower in the PPOS group than in both the LP and AP groups （P<0.05）. Notably， the 2 PN fertilization rate was significantly higher in the PPOS group than in the AP group， and the cleavage rate was significantly higher in the PPOS group than in both the LP and AP groups （P<0.05）.③ No significant differences were found among the three groups in the biochemical pregnancy rate， clinical pregnancy rate， live birth rate， early miscarriage rate， and late miscarriage rate following the first FET cycle. ConclusionCompared to the other two protocols， the PPOS protocol does not significantly affect embryo euploidy or clinical pregnancy rates. However， in freeze-all cycles with PGT-A， the PPOS protocol does not reduce the rate of chromosomally normal embryos but may decrease the total number of available embryos. It may not be the optimal choice for younger women， but it can be considered as a viable option for women of advanced maternal age.

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 explore the association role of anxiety and depressive symptoms with Internet gaming disorder (IGD) and emotional-behavioral problems among junior high school students, so as to provide references for preventing the occurrence and progression of emotional-behavioral problems in middle school students. Methods: From September to October 2024, a random cluster sampling method was adopted to select 38 069 students from 28 junior high schools in 14 counties (cities and districts) and functional areas of Jining City, Shandong Province. Surveys were conducted by Nine item Internet Gaming Disorder Scale-Short Form, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and Strengths and Difficulties Questionnaire. The correlation of emotional and behavioral issues, online game addiction, anxiety and depressive symptoms among junior high school students was analyzed by Speaman correlation analysis. Mediation analysis was used to explore the role of anxiety and depressive symptoms between IGD and emotional-behavioral problems among junior high school students. Results: The detection rates of emotional-behavioral problems, anxiety symptoms, depressive symptoms, and IGD among junior high school students were 19.24 %, 9.48%, 16.69%, and 19.68%, respectively. The scores of emotional-behavioral problems, anxiety symptoms, depressive symptoms and IGD were 10.00 (6.00, 15.00), 3.00 (0.00, 7.00), and 4.00 (1.00, 8.00), 13.00 (10.00, 19.00), respectively. There were positive correlations between each pair of emotional-behavioral problem, IGD, anxiety symptoms, and depressive symptoms scores ( r =0.51-0.81, all P <0.01). Anxiety and depressive symptoms played mediating roles between IGD and emotional-behavioral problems among junior high school students, with mediating effect values of 0.16 (95% CI =0.15-0.17) and 0.12 (95% CI =0.11-0.14), respectively (both P <0.01). Conclusions Anxiety and depressive symptoms mediate the relationship between IGD and emotional-behavioral problems among junior high school students. It is necessary to identify early signs of IGD among junior high school students, strengthen intervention for anxiety and depressive symptoms, to prevent the occurrence and development of emotional and behavioral issues.

Objective To explore the predictive value of different degrees of delirium after off-pump coronary artery bypass grafting (OPCABG) for perioperative myocardial infarction (MI). Methods A retrospective analysis was conducted on the clinical data of patients who underwent OPCABG in the First Department of Cardiac Surgery at the First Hospital of Hebei Medical University between April 2018 and March 2024. Patients were divided into a mild delirium group, a moderate delirium group, and a severe delirium group based on the degree of delirium, and into a MI group and a non-MI group based on the occurrence of perioperative MI. Logistic regression analysis was used to investigate the predictive factors for secondary MI after OPCABG. The predictive value of different degrees of postoperative delirium for secondary perioperative MI was assessed using receiver operating characteristic (ROC) curves. Results A total of 436 patients were included, with 211 males and 225 females, and a median age of 51.00 (44.00, 57.75) years. Delirium occurred in 139 patients, with 52 in the mild delirium group, 29 in the moderate delirium group, and 58 in the severe delirium group. There were 101 patients in the MI group and 335 patients in the non-MI group. Logistic regression analysis showed that severe delirium was an independent predictor of secondary MI after OPCABG [OR=23.979, 95%CI (11.572, 49.691), P<0.001]. ROC curve analysis revealed that the area under the ROC curve for predicting perioperative MI by severe postoperative delirium was 0.709, with a sensitivity of 0.546 and a specificity of 0.964. Conclusion Severe postoperative delirium can be used as an indicator to predict secondary MI after OPCABG.

Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart disease. As a critical component of surgical repair, reconstruction of the right ventricular outflow tract (RVOT) serves as a primary determinant of postoperative hemodynamics and long-term prognosis. With advancements in surgical techniques, early postoperative survival rates for TOF have significantly improved, shifting clinical focus toward addressing long-term complications such as right ventricular dysfunction and reduced exercise tolerance. However, challenges persist regarding optimal timing of surgery in relation to adverse long-term outcomes, balancing RVOT reconstruction strategies, and selecting appropriate repair materials for RVOT reconstruction, with a lack of unified high-level evidence-based guidelines. To address these issues and standardize the application of radical corrective surgery for TOF to better serve patients, the National Society for Congenital Heart Diseases has systematically reviewed existing high-level evidence. Consequently, we have registered and formulated the "Protocol for Chinese expert consensus on right ventricular outflow tract reconstruction in tetralogy of Fallot (2026 edition)", which details the methodology and development process of this upcoming consensus.

This study aimed to design and synthesize a series of novel photocaged compounds based on the precise binding mode of cyclin-dependent kinase 2 (CDK2) inhibitor AT7519 with its target, to achieve precise optical control over molecular activity. Using AT7519 as the structural foundation, different types of photoremovable protecting groups were introduced at its key interaction sites (the NH of the pyrazole ring and the NH of the piperidine ring), resulting in the synthesis of eight dual-photocaged compounds. Their structures were confirmed by NMR and mass spectrometry, and their photochemical properties—including photolysis wavelength, photolysis time, and photolysis efficiency—were systematically evaluated. The optically controlled inhibitory effects of the compounds on HCT116 cell proliferation were assessed using MTT assay. The photoresponsive characteristics of the photocaged compounds were significantly influenced by the type of photoremovable protecting group and its introduction site. Among them, compounds 1a, 1b, and 2d exhibited excellent photolysis efficiency, each achieving a rate exceeding 90%. Particularly, compounds 1b and 2d demonstrated excellent optically controlled activity: under dark conditions, their half maximal inhibitory concentration (IC50) values were both greater than 150 µmol/L, indicating negligible cell proliferation inhibitory activity; however, upon irradiation, their cell proliferation inhibitory activity significantly increased, with IC50 values comparable to those of the positive control AT7519. The obtained compounds 1b and 2d possess excellent optically controlled properties, and can be further investigated as potential candidates for optically controlled CDK2 inhibitors.

Chemical constituents of n-butanol fraction of ethanol extract from the leaves of Cyclocarya paliurus (Batalin) Iljinskaja were studied. Ten compounds were purified by silica gel, MCI, ODS, Sephadex LH-20 column chromatography and semi-preparative high-performance liquid chromatography. Based on the physicochemical properties and spectroscopic data, these compounds were identified as (4S)-4,8-dihydroxy-α-tetralone-5-[6′-(3′′,5′′-dimethoxy-(E)-p-coumaroyl)]-β-D-glucopyranoside (1), (4S)-4,8-dihydroxy-α-tetralone-5-[6′-(E)-feruloyl]-β-D-glucopyranoside (2), (1S,3R,4S,5R)-4,5-di-O-caffeoyl quinic acid methyl ester (3), (1R,3R,4S,5R)-3,4-di-O-caffeoyl quinic acid methyl ester (4), (3R,5R)-3,4,5-tri-O-caffeoylquinic acid methyl ester (5), (1R,3R,4S,5R)-3-O-caffeoyl-5-O-p-coumaroyl quinic acid methyl ester (6), (1R,3R,4S,5R)-3-O-p-coumaroy-4-O-caffeoyl quinic acid methyl ester (7), (1R,3R,4S,5R)-3-O-caffeoyl-4-O-p-coumaroy quinic acid methyl ester (8), (3R,5R)-3,5-di-O-caffeoyl quinic acid methyl ester (9) and (1S,3R,4R,5R)-4-O-caffeoyl-5-O-feruloyl quinic acid methyl ester (10). Among them, compound 1 was a new compound, and compounds 3–10 were isolated from the genus Cyclocarya for the first time.

Lung cancer ranks first in morbidity and mortality among malignant tumors in China. Low-dose computed tomography (LDCT), as the primary screening method, faces increasingly prominent challenges of false positives and overdiagnosis associated with its high sensitivity. In recent years, the integration of artificial intelligence (AI) and three-dimensional reconstruction technology has provided a novel approach to addressing these challenges. This review highlights how AI and three-dimensional reconstruction contribute to improving image quality, enabling precise identification of pulmonary nodules and intelligent risk stratification, optimizing dynamic follow-up strategies, and assisting in preoperative planning, thereby driving the transformation of the LDCT screening paradigm. Meanwhile, current technical limitations and future directions are also discussed.