Objective To investigate the seroprevalence of antibody against Toxoplasma gondii among patients with hematological malignancies, and compare it with that among health individuals, so as to provide insights into unraveling the pathogenesis of hematological malignancies. Methods A total of 225 patients with hematological malignancies in Department of Hematology, Xuzhou Central Hospital and 300 healthy individuals in the same hospital were enrolled from 2017 to 2024. Blood samples were collected from all subjects, and the serum IgG and IgM antibodies against T. gondii were detected using chemiluminescent immunoassay. Demographic and clinical features were collected from patients with hematological malignancies, including gender, age, contact with cats, consumption of raw or undercooked meat, type of malignancy, clinical symptoms, blood transfusion and treatment, and the seroprevalence of anti-T. gondii antibody was compared among patients with different characteristics. Results The age (t = 0.72, P > 0.05) and gender (χ² = 0.93, P > 0.05) were compared between patients with hematological malignancies and healthy individuals. The seroprevalence of T. gondii infection was 20.89% among patients with hematological malignancies and 4.33% among healthy individuals (χ² = 34.81, P < 0.01), and the seroprevalence of anti-T. gondii IgG antibody was 20.89% among patients with hematological malignancies and 4.33% among healthy individuals (χ² = 34.81, P < 0.01), while there was no significant difference in the seroprevalence of anti-T. gondii IgM antibody between patients with hematological malignancies and healthy individuals (1.33% vs. 0; corrected χ² = 2.02, P > 0.05). The seroprevalence of T. gondii infection was 23.08% among patients with leukemia, 16.67% among patients with lymphoma, 19.23% among patients with multiple myeloma, 24.00% among patients with myeloproliferative neoplasm, and 26.09% among patients with myelodysplastic syndrome (χ² = 1.44, P > 0.05), and was all higher than among healthy individuals (corrected χ² = 23.92, 10.74, 13.76, 12.84 and 14.54; all P values < 0.01). In addition, there were no significant differences in the detection of anti-T. gondii antibody among patients with hematological malignancies in terms of gender, age, contact with cats, consumption of raw or undercooked meat, chemotherapy or blood transfusion (χ² = 0.76, 1.97, 0, 2.81, 2.38 and 0.66; all P values > 0.05). Conclusions There is a high risk of T. gondii infection among patients with hematological malignancies, and intensified surveillance of T. gondii infection is recommended among patients with hematological malignancies.

Alzheimer's disease (AD) is a common neurodegenerative disorder among the elderly, and BuChE has emerged as a potential therapeutic target. In this study, we reported the development of compound 8e, a selective reversible BuChE inhibitor (eqBuChE IC₅₀ = 0.049 μmol/L, huBuChE IC₅₀ = 0.066 μmol/L), identified through extensive virtual screening and lead optimization. Compound 8e demonstrated favorable blood-brain barrier permeability, good drug-likeness property and pronounced neuroprotective efficacy. Additionally, 8e exhibited significant therapeutic effects in zebrafish AD models and scopolamine-induced cognitive impairments in mice. Further, 8e significantly improved cognitive function in APP/PS1 transgenic mice. Proteomics analysis demonstrated that 8e markedly elevated the expression levels of very low-density lipoprotein receptor (VLDLR), offering valuable insights into its potential modulation of the Reelin-mediated signaling pathway. Thus, compound 8e emerges as a novel and potent BuChE inhibitor for the treatment of AD, with significant implications for further exploration into its mechanisms of action and therapeutic applications.

OBJECTIVES: To explore the active components that mediate the therapeutic effect of Centella asiatica on psoriasis and their therapeutic mechanisms. METHODS: TCMSP, TCMIP, PharmMapper, Swiss Target Prediction, GeneCards, OMIM and TTD databases were searched for the compounds in Centella asiatica and their targets and the disease targets of psoriasis. A drug-active component-target network and the protein-protein interaction network were constructed, and DAVID database was used for pathway enrichment analysis. In a RAW264.7 macrophage model of LPS-induced inflammation, the anti-inflammatory effect of 7.5, 15, 30, and 60 μmol/L quercetin, asiaticoside, and asiatic acid, which were identified as the main active components in Centella asiatica, were tested by measuring cellular production of NO, TNF‑α and IL-6 using Griess method and ELISA and by detecting mRNA expressions of IL-23, IL-17A, TNF-α and IL-6 and protein expressions of p-STAT3 (Tyr705) and p-STAT3 (Ser727) with RT-qPCR and Western blotting. RESULTS: A total of 139 targets of Centella asiatica and 4604 targets of psoriasis were obtained, and among them CASP3, EGFR, PTGS2, and ESR1 were identified as the core targets. KEGG analysis suggested that quercetin, asiaticoside, and asiatic acid in Centella asiatica were involved in cancer and IL-17 and MAPK signaling pathways. In the RAW264.7 macrophage model of inflammation, treatment with quercetin significantly reduced cellular production of NO, TNF‑α and IL-6, and lowered mRNA expressions of IL-23, IL-17A, TNF‑α and IL-6 and protein expressions of p-STAT3 (Tyr705) and p-STAT3 (Ser727). CONCLUSIONS Quercetin, asiaticoside and asiatic acid are the main active components in Centella asiatica to mediate the therapeutic effect against psoriasis, and quercetin in particular is capable of suppressing cellular production of NO, TNF‑α and IL-6 and regulating the IL-23/IL-17A inflammatory axis by mediating STAT3 phosphorylation to inhibit inflammatory response.
Quercetin/pharmacology* ; Psoriasis/metabolism* ; STAT3 Transcription Factor/metabolism* ; Mice ; Animals ; Centella/chemistry* ; Triterpenes/pharmacology* ; Phosphorylation ; Interleukin-17/metabolism* ; Interleukin-23/metabolism* ; RAW 264.7 Cells ; Pentacyclic Triterpenes/pharmacology* ; Macrophages/drug effects* ; Signal Transduction ; Plant Extracts

Objective: To investigate the effects of low-dose-cone-beam computed tomography (CBCT) scanning protocols on image quality and radiation dose in patients with cervical cancer. Methods: A total of 96 patients with cervical cancer who underwent radiotherapy at a hospital between January 2022 and December 2024 were enrolled in this study. Patient were divided into three groups based on CBCT scanning parameters: an ultra-low-dose group (30 cases), a low-dose group(30 cases), and a routine-dose group (36 cases). The tube voltage was set at 120 kV for all groups, while the tube currents were 132, 215, and 675.8 mAs, respectively. The effects of different scanning parameters on image quality, as indicated by spatial resolution, noise, uniformity, low-contrast resolution, and geometric accuracy, were analyzed. The radiation dose inpatients under different scanning parameters was measured. An analysis of variance was performed. Results: Under the three different scanning parameters, 4-6 clear line pairs were visible in each group. There were no significant differences in spatial resolution or geometric accuracy in different directions among groups (all P > 0.05). However, as the tube current increased, noise, uniformity, and low contrast resolution decreased. When the tube current increased from 132 mAs to 215 mAs, noise decreased by approximately 33.57%, uniformity by approximately 26.30%, and low-contrast resolution by approxim- ately 30.55%. When the tube current increased from 215 mAs to 675.8 mAs, noise decreased by approximately 35.61%, uniformity by approximately 12.68%, and low-contrast resolution by approximately 19.91%. These differences were statistically significant (all P < 0.05). The radiation doses in patients under different CBCT scanning parameters followed the order of ultra-low-dose group < low-dose group < routine-dose group, and the differences were statistically significant (P < 0.05). Conciusion Reducing the tube current during CBCT scanning does not affect the image spatial resolution or geometric accuracy in cervical cancer patients, has a minimal impact on overall image quality, and effectively reduces the additional radiation dose received by patients

Objective:To identify potential therapeutic targets of chronic sinusitis with nasal polyps (CRSwNP) through proteomics screening of and verify its effectiveness experimentally.Methods:The nasal tissue samples were collected from patients undergoing surgical treatment in the Department of Otorhinolaryngology, Head and Neck Surgery in Yuhuangding Hospital of Yantai from June 2010 to December 2021, including 69 patients with CRSwNP and 39 patients in the control group. Tissue samples were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS) in data-independent acquisition (DIA) mode to find differentially expressed proteins. Bioinformatics tools were employed to analyze the functions of differentially expressed proteins. The expression of hematopoietic cell kinase (HCK) in nasal tissues of patients with CRSwNP was further confirmed by qPCR and western blot. The mouse model of CRSwNP was established and treated with HCK inhibitor. The levels of inflammatory factors IgE, IL-4 and IL-5 in serum of CRSwNP mice, both treated and untreated with HCK inhibitors, were detected by enzyme-linked immunosorbent assay (ELISA) across different experimental groups. The experimental data were analyzed by Graphpad Prism 9 software.Results:DIA analysis identified 1 850 differential proteins, including 760 up-regulated proteins and 1 090 down-regulated proteins. Weighted correlation network analysis (WGCNA) correlation analysis of phenotypic data such as cell count and CT score with the results of genomics indemnified 575 proteins of MEBrown module which intersected with 35 kinases further screened from 1 850 differential proteins, yielding eight protein kinases: HCK, SYK, PDK2, FGR, PRKCB, ROR1, CAMK1 and GRK6. qPCR showed that the expression of HCK in CRSwNP was significantly higher than that in the control group ( P<0.05). Further experiments in mice confirmed that the secretion of IgE, IL-4 and IL-5 in the serum of CRSwNP group was significantly higher than the control group (all P<0.05), indicating successful model establishment. The intervention of HCK significantly decreased the secretion of IgE, IL-4 and IL-5 in serum of mice (all P<0.05). Conclusion:The HCK inhibitor can reduce the inflammatory index of mice with CRSwNP, and HCK is a potential therapeutic target of CRSwNP.

In recent years， the research data on the combination model of insomnia of liver depression and qi stagnation syndrome in traditional Chinese medicine （TCM） were sorted out and summarized in terms of the selection of experimental animals， modelling methods， and model evaluation， with a view to providing references for the standardized preparation of the experimental model of insomnia of liver depression and qi stagnation syndrome and the study of the intervention mechanism. As for the selection of experimental animals， rats and mice are commonly used for the study of sleep patterns in the insomnia model of liver depression and qi stagnation syndrome because their sleep patterns are similar to those of human beings； zebrafish is suitable for the study of sleep patterns in early development because of its high genetic homology； and rhesus macaques， common marmosets， and crab-eating monkeys are used for the study of highly complex sleep disorders because their physiological and behavioural characteristics are closer to those of human beings. In terms of modelling methods， electrical stimulation， chronic restraint， chronic emotional stress and impact psychological stress each have their own characteristics and application scenarios， while chronic tail-clamping stimulation combined with intraperitoneal injection of p-chlorophenylalanine （PCPA） combines physical and chemical stimuli， in order to simulate the complex mechanism of insomnia in human beings， and to more comprehensively simulate the pathology of insomnia with liver depression and qi stagnation syndrome. In terms of evaluation indexes， electroencephalography （EEG） and electromyography （EMG） monitoring and barbiturate synergistic sleep test are the most commonly used and scientific methods for evaluating insomnia animal models with liver depression and qi stagnation syndrome， which can provide intuitive and continuous sleep state monitoring； barbiturate synergistic sleep test can reflect the sensitivity and responsiveness of the model animals to the sleep-regulating medications； and the introduction of the method of using formulas to measure syndromes for the evaluating the model can combine the treatment and diagnostic principles of TCM with modern scientific research.

Objective: To systematically evaluate the influencing factors for medication compliance in patients with comorbidities of chronic diseases, so as to provide the evidence for improving medication compliance. Methods: Literature on influencing factors for medication compliance in patients with comorbidities of chronic diseases were retrived from CNKI, Wanfang Data, VIP, SinoMed, PubMed, Web of Science, Cochrane Library and Embase from inception to January 20, 2024. After independent literature screening, data extraction, and quality assessment by two researchers, a meta-analysis was performed using RevMan 5.4 and Stata 16.0 softwares. Literature were excluded one by one for sensitivity analysis. Publication bias was assessed using Egger's test. Results: Initially, 7 365 relevant articles were retrieved, and 35 of them were finally included, with a total sample size of about 150 000 individuals. There were 30 cross-sectional studies and 5 cohort studies; and 11 high-quality studies and 24 medium-quality studies. The meta-analysis showed that the demographic factors of lower level of education (OR=2.148, 95%CI: 1.711-2.696), lower economic income (OR=1.897, 95%CI: 1.589-2.264), male (OR=0.877, 95%CI: 0.782-0.985), living alone (OR=2.833, 95%CI: 1.756-4.569) and unmarried (OR=2.784, 95%CI: 1.251-6.196); the medication treatment factors of polypharmacy (OR=1.794, 95%CI: 1.190-2.706), potentially inappropriate medication (OR=2.988, 95%CI: 1.527-5.847), low frequency of daily medication (OR=0.533, 95%CI: 0.376-0.754) and adverse drug reactions (OR=3.319, 95%CI: 1.967-5.602); the disease factors of long course of disease (OR=2.118, 95%CI: 1.643-2.730), more comorbidities (OR=1.667, 95%CI: 1.143-2.431) and cognitive impairment (OR=2.007, 95%CI: 1.401-2.874); and the psychosocial factors of poor belief in taking medication (OR=1.251, 95%CI: 1.011-1.547), poor self-rated health (OR=1.990, 95%CI: 1.571-2.522) and being guided by healthcare professionals (OR=0.151, 95%CI: 0.062-0.368) were the influencing factors for medication compliance in patients with chronic comorbidities. Conclusion The medication compliance in patients with comorbidities of chronic diseases is associated with demographic factors, pharmacological factors, disease factors and psychosocial factors, mainly including living alone, adverse drug reactions, course of disease, number of comorbidities and medication beliefs.

Objective To analyze the feasibility and efficacy of a deep convolutional neural network(DCNN)model based on chest CT images to evaluate bone mineral density(BMD).Methods A total of 1 048 health check subjects'2 096 central level images of lumbar 1 and 2 vertebral bodies were used for experiments and analysis in this retrospective study.According to the results of quanti-tative computed tomography(QCT)BMD measurement,the subjects were divided into three categories:normal,osteopenia,osteopo-rosis(OP).Herein,a DCNN segmentation model was constructed based on chest CT images[training set(n=1 096),tuning set(n=200),and test set(n=800)],the segmentation performance was evaluated using the Dice similarity coefficient(DSC)to com-pare the consistency with the manually sketched region of vertebral body.Then,the DCNN classification models 1(fusion feature construction of lumbar 1 and 2 vertebral bodies)and model 2(image feature construction of lumbar 1 alone)was developed based on the training set(n=530).Model performance was compared in a test set(n=418)by the receiver operating characteristic(ROC)curve analysis.Results When the number of images in the training set(n=300)was adopted,the DSC value was 0.950 in the test set.The results showed that the sensitivity,specificity and area under the curve(AUC)of model 1 and model 2 in diagno-sing osteopenia and OP were 0.716,0.960,0.952;0.941,0.948,0.980;0.638,0.954,0.940;0.843,0.959,0.978,respectively.The AUC value of normal model 1 was higher than that of model 2(0.990 vs 0.983,P=0.033),while there was no significant difference in AUC values between osteopenia and OP(P=0.210,0.546).Conclusion A DCNN may have the potential to evaluate bone mass based on chest CT images,which is expected to become an effective tool for OP screening.

BACKGROUND:Previous studies have shown that puerarin can inhibit the differentiation of osteoclasts,and the expression of Notch signaling pathway-related proteins such as Notch1,HES1,and Jagged1 is decreased.However,the specific mechanism of the Notch1 signaling pathway for the inhibition of osteoclast differentiation by puerarin is not clear. OBJECTIVE:To explore the effect of Notch signaling pathway on puerarin inhibiting the differentiation of mouse macrophage Raw264.7 into osteoclasts. METHODS:Raw264.7 cells were divided into seven groups for intervention culture.Blank control group was cultured in high-sugar DMEM medium;the osteoclast induction group was cultured in osteoclast induction medium;the puerarin intervention group was cultured with 50 μmol/L puerarin at the same time of osteoclast induction;Notch1 siRNA control group,Notch1 siRNA group,Notch1 overexpression control group and Notch1 overexpression group were transfected with Notch1 siRNA control sequence,Notch1 siRNA,Notch1 overexpression control plasmid and Notch1 overexpression plasmid,respectively,and then cultured with osteoclast induction medium and puerarin.The number and size of osteoclasts were observed by tartrate-resistant acid phosphatase staining,the skeleton formation of osteoclasts was observed by F-actin staining,and the gene expression level of osteoclast formation markers was detected by RT-PCR. RESULTS AND CONCLUSION:Tartrate-resistant acid phosphatase staining results showed that puerarin intervention could inhibit the generation of osteoclasts,Notch1 silencing could further reduce the number of osteoclasts,while the number of osteoclasts in the osteoclast-induced group increased significantly after Notch1 overexpression.The results of F-actin showed that Raw264.7 cells could form a well-defined F-actin ring after osteoclast induction.Puerarin intervention would inhibit the formation of cytoskeleton,and Notch1 silencing could aggravate the inhibitory effect of cytoskeleton formation,while Notch1 overexpression could alleviate this inhibitory effect of puerarin.RT-PCR results showed that puerarin could inhibit the mRNA expression levels of tartrate-resistant acid phosphatase,Cathepsin K and c-Fos,the expression of the above-mentioned three factors decreased significantly after Notch1 gene silencing,and Notch1 overexpression could upregulate the expression of these factors.These finding indicate that puerarin inhibits the differentiation of Raw264.7 cells into osteoclasts through the Notch signaling pathway.

OBJECTIVE To explore the independent factors affecting tissue inflammatory cells changes in recurrent nasal polyps.METHODS The clinical data of 31 patients with nasal polyps who underwent endoscopic surgery at the Department of Otolaryngology Head and Neck Surgery,Yantai Yuhuanding Hospital from December 2007 to December 2021 were selected and analyzed by stepwise regression logistic analysis.RESULTS The number of tissue inflammatory cells in recurrent nasal polyps changed compared with that in primary nasal polyps,and the number and percentage of neutrophils in recurrent polyps increased(P<0.05).Logistic analysis revealed that smoking was an independent risk factor for eosinophilia in recurrent nasal polyps,increasing age was an independent factor for lowering neutrophils,and the comorbid allergic rhinitis and the time interval of recurrence were independent factors for lowering and increasing lymphocytes,respectively.CONCLUSION The number of tissue-infiltrating cells is altered in recurrent polyps compared with primary polyps.Smoking is an independent risk factor for eosinophilia in recurrent polyps.