Alzheimer’s disease (AD) is a prevalent neurodegenerative condition characterized by progressive cognitive decline and memory loss. As the incidence of AD continues to rise annually, researchers have shown keen interest in the active components found in natural plants and their neuroprotective effects against AD. Quercetin, a flavonol widely present in fruits and vegetables, has multiple biological effects including anticancer, anti-inflammatory, and antioxidant. Oxidative stress plays a central role in the pathogenesis of AD, and the antioxidant properties of quercetin are essential for its neuroprotective function. Quercetin can modulate multiple signaling pathways related to AD, such as Nrf2-ARE, JNK, p38 MAPK, PON2, PI3K/Akt, and PKC, all of which are closely related to oxidative stress. Furthermore, quercetin is capable of inhibiting the aggregation of β‑amyloid protein (Aβ) and the phosphorylation of tau protein, as well as the activity of β‑secretase 1 and acetylcholinesterase, thus slowing down the progression of the disease.The review also provides insights into the pharmacokinetic properties of quercetin, including its absorption, metabolism, and excretion, as well as its bioavailability challenges and clinical applications. To improve the bioavailability and enhance the targeting of quercetin, the potential of quercetin nanomedicine delivery systems in the treatment of AD is also discussed. In summary, the multifaceted mechanisms of quercetin against AD provide a new perspective for drug development. However, translating these findings into clinical practice requires overcoming current limitations and ongoing research. In this way, its therapeutic potential in the treatment of AD can be fully utilized.

BACKGROUND:Neuregulin 1 has been shown to be characterized in cell proliferation,differentiation,and vascular growth.Human amniotic mesenchymal stem cells are important seed cells in the field of tissue engineering,and have been shown to be involved in tissue repair and regeneration. OBJECTIVE:To construct human amniotic mesenchymal stem cells overexpressing neuregulin 1 and investigate their proliferation and migration abilities,as well as their effects on wound healing. METHODS:(1)Human amniotic mesenchymal stem cells were in vitro isolated and cultured and identified.(2)A lentivirus overexpressing neuregulin 1 was constructed.Human amniotic mesenchymal stem cells were divided into empty group,neuregulin 1 group,and control group,and transfected with empty lentivirus and lentivirus overexpressing neuregulin 1,or not transfected,respectively.(3)Edu assay was used to detect the proliferation ability of the cells of each group,and Transwell assay was used to detect the migration ability of the cells.(4)The C57 BL/6 mouse trauma models were constructed and randomly divided into control group,empty group,neuregulin 1 group,with 8 mice in each group.Human amniotic mesenchymal stem cells transfected with empty lentivirus or lentivirus overexpressing neuregulin-1 were uniformly injected with 1 mL at multiple local wound sites.The control group was injected with an equal amount of saline.(5)The healing of the trauma was observed at 1,7,and 14 days after model establishment.Histological changes of the healing of the trauma were observed by hematoxylin-eosin staining.The expression of CD31 on the trauma was observed by immunohistochemistry. RESULTS AND CONCLUSION:(1)Human amniotic mesenchymal stem cells overexpressing neuregulin-1 were successfully constructed.The mRNA and protein expression of intracellular neuregulin 1 was significantly up-regulated compared with the empty group(P<0.05).(2)The overexpression of neuregulin 1 promoted the migratory ability(P<0.01)and proliferative ability of human amniotic mesenchymal stem cells(P<0.05).(3)Human amniotic mesenchymal stem cells overexpressing neuregulin 1 promoted wound healing in mice(P<0.05)and wound angiogenesis(P<0.05).The results showed that overexpression of neuregulin 1 resulted in an increase in the proliferative and migratory capacities of human amniotic mesenchymal stem cells,significantly promoting wound healing and angiogenesis.

OBJECTIVE To analyze and identify the metabolites of pirtobrutinib （PTN） in rats， and clarify the possible metabolic pathways of PTN in rats. METHODS Six rats were intragastrically administered with 10 mg/kg PTN suspension. Blood samples were collected from the rats 30 minutes before administration and at 0.25， 0.5， 1， 2， 4， 6， 8， 12， 24 hours after administration. Urine and feces samples were collected 12 hours before administration and 24 hours after administration. UHPLC- Orbitrap Exploris 240 system combined with Compound Discoverer 3.0 and Xcalibur 2.0 software were adopted for structural identification and metabolic pathway analysis of PTN metabolites in rat plasma， urine， and feces. RESULTS A total of 29 PTN metabolites were identified， including 17， 19 and 22 metabolites in plasma， urine and feces， respectively. The metabolic pathways of PTN mainly included oxidation， sulfation， glucuronidation， etc.， and its metabolites were mostly combination products of two or more different metabolic forms. In detail， a total of 26 metabolites were associated with phase Ⅰ metabolic reactions （14 oxidation metabolites， 9 reduction/dehydrogenation metabolites， 8 demethylation metabolites， and 5 hydrolysis metabolites）. Meanwhile， a total of 20 products were involved in phase Ⅱ metabolites （14 sulfation metabolites and 8 glucuronic acid binding metabolites）. CONCLUSIONS PTN exhibits a diverse range of metabolites in rat fecal samples， with the primary metabolic pathways being oxidation， sulfation， glucuronidation， and others.

Objective: To explore the correlation among picky eating levels in preschool children, parental self-efficacy and parenting stress. Methods: A convenience sampling method was employed to conduct an electronic questionnaire survey among 459 children aged 3-6 years and their parents from five kindergartens in Urumqi in November 2023. The survey included a general information questionnaire, the Children s Eating Behavior Questionnaire (CEBQ), the Parenting Sense of Competence Scale (PSOC), and the Parenting Stress Index-Short Form (PSI-SF). The Mann-Whitney U-test was used for twogroup comparisons, and the Kruskal-Wallis H-test was applied for multi-group comparisons. Spearman correlation analysis was conducted to examine the relationships between children s picky eating levels and parenting selfefficacy as well as parenting stress. Results: The picky eating score of preschool children was 10.00 (4.00), and the parenting self-efficacy score was 58.00 (12.00), both indicating a moderate level. The parenting stress score was 75.00 (16.00), reflecting a moderately low level. Spearman correlation analysis showed that children s picky eating levels were negatively correlated with the total score of parenting self-efficacy ( r =-0.28) and positively correlated with the total score of parenting stress( r =0.25)( P <0.01). Conclusions Picky eating levels of preschool children are closely associated with parenting self-efficacy and parenting stress. Picky eating behaviors in children can be reduced by implementing various effective measures to enhance parenting self-efficacy and alleviate parenting stress.

Immunotherapy represents the third revolution in the pharmacological treatment of tumors and has demonstrated considerable efficacy in the management of malignant solid tumors, including melanoma and lung cancer. By contrast, breast cancer is frequently categorized as a “cold tumor” because of its limited immunogenicity and immunoreactivity, which hinder research progress and clinical outcomes in immunotherapy. Only a small proportion of patients derive benefits from immunotherapeutic interventions, and the development of drug resistance remains a concern. In this regard, novel strategies should be explored for converting immunologically inert “cold tumors” into immunologically active “hot tumors”, thereby expanding the population that will benefit from breast cancer immunotherapy. This study reviews new strategies to transform breast cancer from “cold tumor” to “hot tumor”. Strategies include enhancing the expression of tumor antigens, promoting immune infiltration, and reversing the immunosuppressive microenvironment. Results also emphasize the importance of comprehensive treatment to enhance systemic immunity.

This paper aimed to systematically evaluate the effects of hypoxic training at different fraction of inspired oxygen (FiO₂) on body composition, glucose metabolism, and lipid metabolism in obese individuals, and to determine the optimal oxygen concentration range to provide scientific evidence for personalized and precise hypoxic exercise prescriptions. A systematic search was conducted in the Cochrane Library, PubMed, Web of Science, Embase, and CNKI databases for randomized controlled trials and pre-post intervention studies published up to March 31, 2025, involving hypoxic training interventions in obese populations. Meta-analysis was performed using RevMan 5.4 software to assess the effects of different fraction of inspired oxygen (FiO₂≤14% vs. FiO₂>14%) on BMI, body fat percentage, waist circumference, fasting blood glucose, insulin, HOMA-IR, triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C), with subgroup analyses based on oxygen concentration. A total of 22 studies involving 292 participants were included. Meta-analysis showed that hypoxic training significantly reduced BMI (mean difference (MD)=-2.29,95%CI: -3.42 to -1.17, P<0.000 1), body fat percentage (MD=-2.32, 95%CI: -3.16 to -1.47, P<0.001), waist circumference (MD=-3.79, 95%CI: -6.73 to -0.85, P=0.01), fasting blood glucose (MD=-3.58, 95%CI: -6.23 to -0.93, P=0.008), insulin (MD=-1.60, 95%CI: -2.98 to -0.22, P=0.02), TG (MD=-0.18, 95%CI: -0.25 to -0.12, P<0.001), and LDL-C (MD=-0.25, 95%CI: -0.39 to -0.11, P=0.000 3). Greater improvements were observed under moderate hypoxic conditions with FiO₂>14%. Changes in HOMA-IR (MD=-0.74, 95%CI: -1.52 to 0.04,P=0.06) and HDL-C (MD=-0.09, 95%CI: -0.21 to 0.02, P=0.11) were not statistically significant. Hypoxic training can significantly improve body composition, glucose metabolism, and lipid metabolism indicators in obese individuals, with greater benefits observed under moderate hypoxia (FiO>14%). As a key parameter in hypoxic exercise interventions, the precise setting of oxygen concentration is crucial for optimizing intervention outcomes.

ObjectiveTo investigate whether elemene（ELE） enhances the anti-glioma efficacy of cabazitaxel（CTX）， and prepare a double-targeted cationic liposome（LIP） co-loaded with ELE/CTX for the treatment of glioma， and to achieve the effect of increasing the efficacy and reducing the adverse reactions. Pharmacodynamic tests in vitro were performed to explore the advantages and mechanism of its preparation. MethodELE/CTX@LIP was prepared by high speed shear combined with probe ultrasound， the particle size and potential were characterized by nano-particle size potentiometer， and high performance liquid chromatography（HPLC） was used to determine the encapsulation efficiency and drug loading capacity of CTX/ELE. The cytotoxicity of ELE/CTX in vitro was detected by cell proliferation and activity assay（CCK8）. JMP Pro 16 software was used to optimize the process parameters of ELE/CTX@LIP based on encapsulation efficiency. The optimal cationic material type， content and ratio were screened by in vitro cytotoxicity and in vitro cell uptake， on this basis， the dual-targeted cationic liposome T7/arginine glycine aspartate tripeptide sequence（T7/cRGD）-ELE/CTX@CLIP was prepared， the stability of morphology and particle size were characterized， and the effect of T7/cRGD-ELE/CTX@CLIP on the apoptosis inducing ability and cell cycle regulation ability of glioma cells was analyzed by cell cycle and apoptosis. ResultELE/CTX showed stronger anti-glioma activity on C6 and RG2 cells. The results of in vitro cytotoxicity and in vitro cell uptake showed that the amount of cationic material was 0.10% of the total content. The optimum ratio of T7， cRGD and phospholipids was 1∶1∶50. T7/cRGD-ELE/CTX@CLIP［1，2-dilinoleyloxy-3-dimethylaminopropane（Dlin-MC3-DMA）］ and T7/cRGD-ELE/CTX@CLIP［1，2-dimyristoyl-rac-glycero-3-methoxypolyethylene glycol 2000（DMG-PEG2000）］ showed multi-level spherical nanostructures with particle sizes of 146.0， 111.3 nm， respectively， and were stable in serum. In vitro cytotoxicity results showed that T7/cRGD-ELE/CTX@CLIP had higher cytotoxicity to glioma cells than single-targeted liposomes or dual-targeted non-cationic liposomes. T7/crGD-ELE/CTX@CLIP affected the apoptosis and cycle of glioma cells， the results showed that ELE/CTX combined with liposomes could more effectively activate the apoptosis channel and inhibit the proliferation of glioma cells， and the use of T7/cRGD short peptide and cation modification enhanced the ability of apoptosis induction. ELE/CTX could effectively block glioma cell cycle at G₂/M phase， and the effect was enhanced after T7/cRGD targeted modification. ConclusionELE can enhance the anti-glioma effect of CTX. The preparation parameters of ELE/CTX@LIP are stable and feasible. Combined with the in vitro efficacy test， the anti-glioma mechanism of T7/cRGD-ELE/CTX@CLIP is preliminarily revealed.

Objective To establish an early prediction model for the diagnosis of severe acute pancreatitis based on the improved machine learning models,and to analyze its clinical value.Methods A case-control study was conducted on 352 patients with acute pancreatitis admitted to the Gastroenterology and Hepatobiliary Surgery Departments of the Army Medical Center of PLA and Emergency and Critical Care Medicine Department of No.945 Hospital of Joint Logistics Support Force of PLA from January 2014 to August 2023.According to the severity of the disease,the patients were divided into the severe group(n=88)and the non-severe group(n=264).The RUSBoost model and improved Archimead optimization algorithm was used to analyze 39 routine laboratory biochemical indicators within 48 h after admission to construct an early diagnosis and prediction model for severe acute pancreatitis.The task of feature screening and hyperparameter optimization was completed simultaneously.The ReliefF algorithm feature importance rank and multivariate logistic analysis were used to analyze the value of the selected features.Results In the training set,the area under curve(AUC)of the improved machine learning model was 0.922.In the testing set,the AUC of the improved machine learning model reached 0.888.The 4 key features of predicting severe acute pancreatitis based on the improved Archimedes optimization algorithm were C-reactive protein,blood chlorine,blood magnesium and fibrinogen level,which were consistent with the results of ReliefF algorithm feature importance ranking and multivariate logistic analysis.Conclusion The application of improved machine learning model analyzing the laboratory examination results can help to early predict the occurrence of severe acute pancreatitis.

Objective: To investigate protective effects of nicotinamide mononucleotide (NMN) on ethanol-induced DNA damage in L02 cells, so as to provide the evidence for adjuvant therapy of NMN on alcoholic liver diseases. Methods: L02 cells were pretreated with different concentrations of NMN (0, 1, 2, 4 and 8 mmol/L) for 6 h, and then were exposed to 0.4% ethanol for 12 h. The treated cells were divided into the control group, 0.4% ethanol group and different concentrations of NMN groups. Cell viability was analyzed using trypan blue staining for determining the concentration of NMN as a protective agent. The effects of NMN on ethanol-induced DNA damage in L02 cells were evaluated using immunofluorescence detection and reactive oxygen species (ROS) assay. L02 cells were exposed to 0.4% ethanol for 12 h, cultured in a medium containing a protective concentration of NMN, and divided into PBS group and NMN group. Cell viability was detected at 0, 2, 4, 8, 16 and 32 h, and the effects of NMN on repairing ethanol-induced DNA damage were evaluated by alkaline comet assay. Results: The cell viability was lower in 0.4% ethanol group than than in the control group, and was higher in different concentrations of NMN groups than in 0.4% ethanol group (all P<0.05), with no significant difference in the cells viability between 4 mmol/L and higher concentrations of NMN groups and the control group (all P>0.05). Therefore, 4 mmol/L NMN was selected as a protective agent. The cell tail moments, relative immunofluorescence intensities of γH2AX and relative levels of ROS were higher in 0.4% ethanol group than in the control group, and lower in 4 mmol/L and higher concentrations of NMN groups than in 0.4% ethanol group (all P<0.05). The cell viability was increased and the cell tail moment was shortened with the increase of 4 mmol/L NMN intervention time; and the cell viability in 4 h and more of NMN groups were higher, and the cell tail moment were lower than that in PBS group (all P<0.05). Conclusions NMN attenuates DNA damage in a dose-dependent manner and promotes the repair of DNA damage in a time-dependent manner. NMN has a protective effect on ethanol-induced DNA damage in hepatocytes.

ObjectiveThe scale of microalgae farming industry is huge. During farming, it is easy for microalgae to be affected by miscellaneous bacteria and other contaminants. Because of that, periodic test is necessary to ensure the growth of microalgae. Present microscopy imaging and spectral analysis methods have higher requirements for experiment personnel, equipment and sites, for which it is unable to achieve real-time portable detection. For the purpose of real-time portable microalgae detection, a real-time microalgae detection system of low detection requirement and fast detection speed is needed. MethodsThis study has developed a microalgae detection system based on deep learning. A microscopy imaging device based on bright field was constructed. With imaged captured from the device, a neural network based on YOLOv3 was trained and deployed on microcomputer, thus realizing real-time portable microalgae detection. This study has also improved the feature extraction network by introducing cross-region residual connection and attention mechanism and replacing optimizer with Adam optimizer using multistage and multimethod strategy. ResultsWith cross-region residual connection, the mAP value reached 0.92. Compared with manual result, the detection error was 2.47%. ConclusionThe system could achieve real-time portable microalgae detection and provide relatively accurate detection result, so it can be applied to periodic test in microalgae farming.