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Purpose: Breast cancer, the most common cancer in women globally, highlights the need for patient education. Despite many breast cancer discussions on TikTok, their scientific evaluation is lacking. Our study seeks to assess the content quality and accuracy of popular TikTok videos on breast cancer, to improve the dissemination of health knowledge. Methods: On August 22, 2023, we collected the top 100 trending videos from TikTok's Chinese version using "breast cancer/breast nodule" as keywords. We noted their length, TikTok duration, likes, comments, favorites, reposts, uploader types, and topics. Four assessment tools were used: Goobie's six questions, the Patient Educational Material Assessment Tool (PEMAT), the Video Information and Quality Index (VIQI), and the Global Quality Score (GQS). These instruments evaluate videos based on content, informational integrity, and overall quality. Results: Among the 100 videos, content quality was low with Goobie's questions mostly scoring 0, except for management at 1.0 (QR 1.0). PEMAT scores were moderate: 54.1 (QR 1.6) for sum, 47.0 (QR 18.8) for PEMAT-A, and 52.3 (QR 11.7) for PEMAT-U. Regarding the quality of information, the VIQI (sum) median was 14.1 (QR 0.2). Additionally, the median GQS score was 3.5 (QR 0.1). Medical professionals' videos focused on breast cancer stages, while patient videos centered on personal experiences. Patient videos had lower content and overall quality compared to those by medical professionals (PEMAT, GQS: P < 0.001, P = 0.004) but received more comments, indicating higher engagement (all P < 0.05). Conclusion: TikTok's breast cancer content shows educational potential, but while informational quality is moderate, content quality needs improvement. Videos by medical professionals are of higher quality. We recommend increased involvement of healthcare professionals on TikTok to enhance content quality. Non-medical users should share verified information, and TikTok should strengthen its content vetting. Users must scrutinize the credibility of health information on social platforms.

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This study aims to investigate whether the combined use of thin sheet glass (FSG) and polyurethane acrylate (PUA) can enhance the mechanical properties and biocompatibility of glass ionomer cements (GICs) to improve the overall performance of commercial GICs. In this study, an innovative approach was employed by incorporating diluents and photoinitiators into PUA to develop a novel light-curable PUA material. The PUA was then used to modify the GIC to obtain PUA-modified GIC. Subsequently, physical and chemical methods were employed to corrode and chemically modify the glass fiber surface to acquire dried thin sheet glass (FSG). Different proportions of FSG (10%, 20%, and 30% by mass) were mixed with PUA-GIC to obtain FSG-PUA modified GIC. Mechanical and biocompatibility tests were conducted on regular GIC, PUA-GIC, resin-modified glass ionomer cement (RMGIC), and various proportions of FSG-PUA-GIC materials, including flexural strength, surface hardness, water absorption rate, solubility, shear strength, compressive strength (CS), in vitro cytotoxicity, as well as short-term oral toxicity and subcutaneous implantation trials. A novel FSG-PUA modified GIC was successfully prepared, which not only retained the excellent biocompatibility and fluoride ion release capacity of the original GIC but also significantly enhanced its mechanical strength and durability. The application of this innovative method provides a new direction for the development of dental restorative materials, particularly in addressing the shortcomings of GICs in terms of mechanical performance. The addition of FSG notably increased the flexural strength and surface hardness of GICs, especially at a 20% additive level, demonstrating superior performance compared with standard Fuji IX (F9) and slightly better than RMGIC. Water absorption rate and solubility initially decreased and then increased with an increase in FSG content, and significantly outperformed F9 and RMGIC at 10% and 20% additive levels. Shear strength and CS decreased with an increase in FSG content but remained superior to commercial groups. Material incubation with cells in vitro for 24-48 h showed no significant impact on cell viability, with cell viability exceeding 90%. Short-term oral toxicity tests demonstrated good biocompatibility of the material, and subcutaneous implant trials did not observe any significant inflammation or pathological changes within 12 weeks of observation. The use of FSG-PUA materials effectively enhances the mechanical properties of GIC materials, demonstrating excellent biocompatibility and significant potential as dental restorative materials. Among them, the 20% FSG-PUA modified GICs exhibited significantly superior flexural strength, surface hardness, shear strength, water absorption, and solubility compared with F9 and slightly surpassing RMGIC, showcasing the best mechanical performance.

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Tumor cells remodel the phenotype and function of tumor microenvironment (TME) cells to favor tumor progression. Previous studies have shown that neutrophils in TME are polarized to N2 tumor-associated neutrophils (TANs) by tumor derived factors, thus promoting tumor growth and metastasis, angiogenesis, therapy resistance, and immunosuppression. Exosomes act as critical intercellular messengers in human health and diseases including cancer. So far, the biological roles of exosomes from N2 TANs in gastric cancer have not been well characterized. Herein, we represented the first report that exosomes from N2 TANs promoted gastric cancer metastasis in vitro and in vivo. We found that exosomes from N2 TANs transferred miR-4745-5p/3911 to gastric cancer cells to downregulate SLIT2 (slit guidance ligand 2) gene expression. Adenovirus-mediated overexpression of SLIT2 reversed the promotion of gastric cancer metastasis by N2 TANs derived exosomes. We further revealed that gastric cancer cells induced glucose metabolic reprogramming in neutrophils through exosomal HMGB1 (high mobility group protein B1)/NF-κB pathway, which mediated neutrophil N2 polarization and miR-4745-5p/3911 upregulation. We further employed ddPCR (droplet digital PCR) to detect the expression of miR-4745-5p/3911 in N2 TANs exosomes from human serum samples and found their increased levels in gastric cancer patients compared to healthy controls and benign gastric disease patients. Conclusively, our results indicate that N2 TANs facilitate cancer metastasis via regulation of SLIT2 in gastric cancer cells by exosomal miR-4745-5p/3911, which provides a new insight into the roles of TME cells derived exosomes in gastric cancer metastasis and offers a potential biomarker for gastric cancer diagnosis.

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Exosomas , Regulación Neoplásica de la Expresión Génica , Péptidos y Proteínas de Señalización Intercelular , MicroARNs , Proteínas del Tejido Nervioso , Neutrófilos , Neoplasias Gástricas , Microambiente Tumoral , Neoplasias Gástricas/patología , Neoplasias Gástricas/genética , Neoplasias Gástricas/metabolismo , Exosomas/metabolismo , Exosomas/genética , Humanos , Neutrófilos/metabolismo , Neutrófilos/patología , MicroARNs/genética , Animales , Ratones , Proteínas del Tejido Nervioso/genética , Proteínas del Tejido Nervioso/metabolismo , Línea Celular Tumoral , Péptidos y Proteínas de Señalización Intercelular/metabolismo , Péptidos y Proteínas de Señalización Intercelular/genética , Microambiente Tumoral/genética , Metástasis de la Neoplasia , Proteína HMGB1/metabolismo , Proteína HMGB1/genética , Masculino

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Objectives: Heparanase (HPSE), an endoglycosidase that cleaves heparan sulfate, regulates various biological processes related to tumor progression. We explore the prognostic value of HPSE and its relationship with immunotherapy response in patients with breast cancer, to improve the effectiveness of immunotherapy and increase the survival outcomes. Methods: In the study, we explored the prognostic value of HPSE through the The Cancer Genome Atlas (TCGA) database. By using the single-sample gene set enrichment analysis (ssGSEA) method, we measured the infiltration levels of 24 immune cell types in the tumor microenvironment. Cancer Therapeutics Response Portal (CTRP) and PRISM datasets provide the area under the dose-response curve (AUC) to measure drug sensitivity. Using nomograms, we predicted overall survival ability. In vivo studies, we investigated the relationship between HPSE and immune checkpoint proteins and pro-inflammatory cytokines by immunohistochemistry of Triple-Negative Breast Cancer tumors in mice. Results: Our model demonstrated that the integrating of HPSE with the clinical stage effectively predicts patients' survival time, highlighting high HPSE expression as a prognostic risk factor for breast cancer. Then the Receiver Operating Characteristic (ROC) curve [AUC of 1 year = 0.747, AUC of 3 years = 0.731] and Decision Curve Analysis (DCA) curve illustrated the satisfactory discriminative capacity of our model, emphasizing its valuable clinical applicability. Immune-related results showed that HPSE correlates strongly with immune infiltrating cells, immune-related genes, and the anti-cancer immunity cycle. In vivo studies have demonstrated that HPSE in breast cancer is associated with increased expression of immune checkpoint proteins CD274 and cytotoxic T lymphocyte-associated protein 4 (CTLA-4) and is positively correlated with the pro-inflammatory cytokine TNF-α. Meanwhile, we analyzed the 11 types of drugs that are sensitive to the HPSE gene. Conclusion: Our results show that HPSE can serve as an effective biomarker to predict the prognosis of breast cancer patients and reflect the impact of immunotherapy.

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Antígeno B7-H1 , Biomarcadores de Tumor , Neoplasias de la Mama , Antígeno CTLA-4 , Regulación Neoplásica de la Expresión Génica , Glucuronidasa , Microambiente Tumoral , Humanos , Femenino , Pronóstico , Glucuronidasa/metabolismo , Glucuronidasa/genética , Animales , Ratones , Biomarcadores de Tumor/metabolismo , Antígeno CTLA-4/metabolismo , Neoplasias de la Mama/mortalidad , Neoplasias de la Mama/patología , Neoplasias de la Mama/genética , Neoplasias de la Mama/inmunología , Neoplasias de la Mama/metabolismo , Microambiente Tumoral/inmunología , Antígeno B7-H1/metabolismo , Antígeno B7-H1/genética , Proteínas de Punto de Control Inmunitario/metabolismo , Proteínas de Punto de Control Inmunitario/genética , Curva ROC , Nomogramas , Biología Computacional/métodos , Perfilación de la Expresión Génica , Bases de Datos Genéticas

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Slow Transit Constipation (STC) is characterized by impaired colonic motility, but its relationship with gut microbiota remains unclear. This study investigated the correlation between specific gut microbial populations and STC, focusing on the Lactobacillus acidophilus to Lactobacillus johnsonii (A/J) ratio. We used four rat groups: Control (CON), Loperamide-induced STC (LOP), antibiotic-treated (ABX), and antibiotic plus Loperamide (ABX + LOP). Fecal samples were analyzed using 16S rRNA gene sequencing, and serum metabolites were examined through LC-MS. The LOP group showed an increased A/J ratio, while ABX and ABX + LOP groups had decreased ratios. Notably, the ABX + LOP group did not develop STC symptoms. Metabolomic analysis revealed alterations in key metabolites across groups, including changes in levels of guanidinoacetate, glycine, L-glutamine, nicotine, and nicotinate D-ribonucleotide in the LOP group, and variations in L-glutamine, L-phenylalanine, L-tyrosine, histamine, D-ornithine, and lecithin in the ABX and ABX + LOP groups. Our findings suggest a correlation between the A/J ratio and STC development, offering insights into STC pathophysiology and potential microbiome-targeted therapies.

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Estreñimiento , Microbioma Gastrointestinal , Lactobacillus acidophilus , Loperamida , Animales , Estreñimiento/microbiología , Ratas , Microbioma Gastrointestinal/efectos de los fármacos , Masculino , Heces/microbiología , ARN Ribosómico 16S/genética , Ratas Sprague-Dawley , Lactobacillus , Tránsito Gastrointestinal , Modelos Animales de Enfermedad , Metabolómica/métodos , Antibacterianos/farmacología

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Exposure to fine particulate matter (PM2.5) in the ambient environment augments susceptibility to respiratory ailments. Circular RNAs, a distinctive subclass of endogenous non-coding RNAs, have been acknowledged as pivotal regulators of pathological conditions. Ferroptosis, an innovative iron-dependent form of cellular demise, has emerged as a consequential participant in numerous maladies. Despite the established association between PM2.5 exposure and the exacerbation of asthma, scant investigations have probed into the implication of circRNAs and ferroptosis in PM2.5-induced asthma. Consequently, this inquiry sought to scrutinize the potential involvement of circCDR1as and ferroptosis in PM2.5-induced asthma. Through the formulation of a PM2.5 exposure model in asthmatic mice and an in vitro cellular model, it was discerned that PM2.5 induced ferroptosis, thereby intensifying asthma progression. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) revealed an upregulation of circCDR1as in the PM2.5-stimulated asthma cell model. Molecular biology assays demonstrated that diminished circCDR1as expression hindered the onset of ferroptosis in response to PM2.5 exposure. Notably, Ferrostatin-1 (Fer-1), an inhibitor of ferroptosis, manifested the ability to impede the advancement of asthma. Mechanistically, RNA pull-down and molecular biology experiments substantiated that circCDR1as selectively bound to insulin-like growth factor 2 mRNA binding protein 2 (IGF2BP2), thereby modulating the occurrence of ferroptosis. CircCDR1as emerged as a potential orchestrator of asthma progression by regulating ferroptosis under PM2.5 exposure. Additionally, PM2.5 exposure elicited activation of the Wnt/ß-catenin signaling pathway, subsequently influencing the expression of C-myc and Cyclin D1, ultimately exacerbating asthma development. In summation, the interaction between circCDR1as and IGF2BP2 in regulating ferroptosis was identified as a critical facet in the progression of asthma under PM2.5 exposure. This investigation underscores the pivotal roles of circCDR1as and ferroptosis in PM2.5-induced asthma, offering a novel theoretical foundation for the therapeutic and preventive approaches to asthma.

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Asma , Ferroptosis , Material Particulado , Ferroptosis/efectos de los fármacos , Asma/inducido químicamente , Ratones , Animales , ARN Circular/genética , Contaminantes Atmosféricos/toxicidad

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OBJECTIVE: To develop preoperative nomograms using risk factors based on clinicopathological and MRI for predicting the risk of positive surgical margin (PSM) after radical prostatectomy (RP). PATIENTS AND METHODS: This study retrospectively enrolled patients who underwent prostate MRI before RP at our center between January 2015 and November 2022. Preoperative clinicopathological factors and MRI-based features were recorded for analysis. The presence of PSM (overall PSM [oPSM]) at pathology and the multifocality of PSM (mPSM) were evaluated. LASSO regression was employed for variable selection. For the final model construction, logistic regression was applied combined with the bootstrap method for internal verification. The risk probability of individual patients was visualized using a nomogram. RESULTS: In all, 259 patients were included in this study, and 76 (29.3%) patients had PSM, including 40 patients with mPSM. Final multivariate logistic regression revealed that the independent risk factors for oPSM were tumor diameter, frank extraprostatic extension, and annual surgery volume (all p < 0.05), and the nomogram for oPSM reached an area under the curve (AUC) of 0.717 in development and 0.716 in internal verification. The independent risk factors for mPSM included the percentage of positive cores, tumor diameter, apex depth, and annual surgery volume (all p < 0.05), and the AUC of the nomogram for mPSM was 0.790 in both development and internal verification. The calibration curve analysis showed that these nomograms were well-calibrated for both oPSM and mPSM. CONCLUSIONS: The proposed nomograms showed good performance and were feasible in predicting oPSM and mPSM, which might facilitate more individualized management of prostate cancer patients who are candidates for surgery.

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Imagen por Resonancia Magnética , Márgenes de Escisión , Nomogramas , Prostatectomía , Neoplasias de la Próstata , Humanos , Masculino , Prostatectomía/métodos , Neoplasias de la Próstata/cirugía , Neoplasias de la Próstata/patología , Neoplasias de la Próstata/diagnóstico por imagen , Estudios Retrospectivos , Persona de Mediana Edad , Anciano , Imagen por Resonancia Magnética/métodos , Factores de Riesgo

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Phthalic acid esters (PAEs) are emerging pollutants that need to be analyzed precisely. Chromatography-based determination of PAE content in soils are frequently affected by matrix effect, which may limit the quantification of different kinds of PAEs from different types of soil. Here we optimized a QuEChERS protocol combined with gas chromatography-mass spectrometry (GC-MS) for simultaneous determination of 16 PAEs in different soils. PAEs in different type of soils (fluvo-aquic soil, red soil, and black soil) were extracted with acetonitrile followed by GC-MS detection based on quantitative ion internal standard method. All 16 PAEs showed excellent linear relationships with mass peak areas (R2 > 0.99). The limits of detection (LOD) and limits of quantitation (LOQ) of all the samples were in the range of 0.91-66.97 µg/kg and 2.7-200.9 µg/kg, respectively. The accurate test at 0.5, 0.1, and 1.0 mg/kg spiking level recorded recovery rate between 80.11% and 100.99% with relative standard deviations (RSDs) ranging from 0.37 to 8.50% in tested matrices. No significant matrix effect was observed for most tested PAEs. This is a simple method with high sensitivity and strong stability, which is suitable and reproducible for quantifying large number of PAEs in different types of soil.

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Ésteres , Cromatografía de Gases y Espectrometría de Masas , Ácidos Ftálicos , Contaminantes del Suelo , Suelo , Ácidos Ftálicos/análisis , Suelo/química , Ésteres/análisis , Contaminantes del Suelo/análisis , Límite de Detección

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OBJECTIVE: Bibliometrics was employed in this study to determine the research trends in the worldwide application of 3D printing technology to treat bone tumors over the previous 10 years. METHODS: Published from 2013 to 2022, the papers related to bone tumors treated with 3D printing were located in Web of Science Core Collection (WoSCC), PubMed, and Scopus. The screened articles were included in this bibliometric study. From these papers in WoSCC, information on annual publications, journals, keywords, countries, authors, institutions, and cited references were extracted and visualized with CiteSpace (version 6.1.R6) software to investigate the state of bone tumor treatment using 3D printing as well as research hotspots. The Carrot2 online visualization tool and Vosviewer software (version 1.6.20) were employed to visualize the publications from PubMed and Scopus, respectively, in order to ascertain the most popular research topics from both databases. RESULTS: A total of 606, 233, and 364 publications were obtained from WoSCC, PubMed, and Scopus, respectively, between the years 2013 and 2022. In WoSCC, the peak number of publications was found in 2021, with 145 publications published. Acta Biomaterialia (11 publications) and World Neurosurgery (10 publications) were the most prolific journals, and Biomaterials was the journal cited the most (244 times). Yong Zhou was the most productive author with 14 publications, while Kwok-Chuen Wong (69 citations) and William F Enneking, (69 citations) possessed the most citations. The country with the largest quantity of publications was China (207). Among all institutions, Shanghai Jiao Tong University produced the most publications (29). Rapid prototyping was the keyword with the strongest citation burst (4.73). 'Reconstruction', 'surgery', 'resection', and 'design' caught the significant attention of researchers. 3D-printed materials, pelvic reconstruction, mandibular reconstruction, computer-assisted surgical techniques, photothermal therapy, and in vitro experiments were recognized as hot subjects and trends in current research. The most frequently occurring topics in Scopus are not significantly different from those found in WoSCC. The most prevalent research areas in PubMed encompass implant, patient-specific, bioceramic, models, and pelvic.

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Background: The aim of this study was to clarify the relationship between expression level of CTLA-4 on CD4+ T cells and sepsis-associated immunosuppression (SAI), and to elucidate the possible mechanism of mTOR pathway mediated autophagic-lysosomal disorder in regulating CTLA-4 expression. Methods: We enrolled 63 sepsis patients admitted to our ICU between January 1 and June 30, 2023. Peripheral blood mononuclear cells were isolated from the patients within 24 hours of recruitment. Expression levels of mTOR, P62, LC3II, and CTLA-4 on circulating CD4+ T lymphocytes were quantitated using flow cytometry. The association of these markers and relationship between CTLA-4 expression and the incidence of SAI and 28-day mortality were comprehensively analyzed. Results: Compared with non-immunosuppressed patients with sepsis, patients with SAI had a higher 28-day mortality rate (37.5% vs 13.0%, P=0.039) and higher CTLA-4 mean fluorescence intensity (MFI) on CD4+ T cells (328.7 versus 78.7, P<0.0001). CTLA-4 MFI on CD4+ cells was independently associated with the occurrence of SAI (95% confidence interval: 1.00-1.14, P=0.044). In patients with sepsis and SAI, non-survivors had higher CTLA-4 expression than survivors (sepsis: 427.5 versus 130.6, P=0.002; and SAI: 506.7 versus 225.2, P<0.0001). The sensitivity and specificity of CTLA-4 MFI at predicting 28-day mortality in patients with SAI was 100% and 80% respectively with the cutoff value of 328.7 and the area under the curve of 0.949. The MFI of mTOR, P62, and LC3II on CD4+ T cells were statistically higher in patients with SAI than in non-immunosuppressed patients (267.2 versus 115.9, P<0.0001; 314.8 versus 173.7, P<0.0001; and 184.7 versus 1123.5, P=0.012, respectively); P62 and LC3II were markedly higher in non-survivors than in survivors of sepsis (302.9 versus 208.9, P=0.039; and 244.3 versus 122.8, P<0.0001 respectively). The expression of CTLA-4 statistically correlated with that of LC3II in patients with sepsis, patients with SAI, and patients with SAI who did not survive (correlation coefficient: 0.69, 0.68, and 0.73, respectively, P<0.0001). Conclusions: CTLA-4 overexpression on CD4+ T cells was markedly associated with the incidence of SAI and had great relevance to 28-day mortality. mTOR pathway mediated autophagic-lysosomal disorder showed significant association with CTLA-4 expression.

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Autofagia , Linfocitos T CD4-Positivos , Antígeno CTLA-4 , Sepsis , Serina-Treonina Quinasas TOR , Humanos , Masculino , Serina-Treonina Quinasas TOR/metabolismo , Femenino , Antígeno CTLA-4/metabolismo , Sepsis/inmunología , Sepsis/mortalidad , Sepsis/metabolismo , Linfocitos T CD4-Positivos/inmunología , Linfocitos T CD4-Positivos/metabolismo , Persona de Mediana Edad , Anciano , Tolerancia Inmunológica

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In this paper, an exact analytical solution is presented for achieving coherent population transfer and creating arbitrary coherent superposition states in a five-state chainwise system by a train of coincident pulses. We show that the solution of a five-state chainwise system can be reduced to an equivalent three-state Λ-type one with the simplest resonant coupling under the assumption of adiabatic elimination together with a requirement of the relation among the four coincident pulses. In this method, the four coincident pulses at each step all have the same time dependence, but with specific magnitudes. The results show that, by using a train of appropriately coincident pulses, this technique not only enables complete population transfer, but also creates any desired coherent superposition between the initial and final states, while the population in all intermediate states is effectively suppressed. Furthermore, this technique can also exhibit a one-way population transfer behavior. The results are of potential interest in applications where high-fidelity multi-state quantum control is essential, e.g., quantum information, atom optics, formation of ultracold molecules, cavity QED, nuclear coherent population transfer, and light transfer in waveguide arrays.

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Background: This study aimed to analyze the clinical features of children with lobar pneumonia caused by Mycoplasma pneumoniae (MP) infection, to explore the independent risk factors for bronchoscopic intervention in children with lobar pneumonia caused by MP infection. There is a lack of objective assessment tools to guide the use of bronchoscopy in clinical practice. For children with lobar pneumonia caused by MP infection, whether line shall be actively bronchoscope intervention therapy remains to be further defined. We also aimed to construct an early warning model of bronchoscopic intervention to provide an objective evaluation tool for clinicians. Methods: We collected the clinical data of 533 children with lobar pneumonia caused by MP infection. The patients were divided into three groups according to the interventional indications for bronchoscopy and whether they were treated with bronchoscopic intervention, and the clinical features and prognosis of the three groups were compared. A binary logistic regression analysis was performed on the indicators with a significance value of P<0.05, which we retrieved from the comparative analysis between the first two groups to uncover the independent risk factors and regression equations concerning bronchoscopic intervention. The regression coefficient (ß) of our regression model was then used to score related values in the model to construct a predictive scoring model of bronchoscopic intervention for the treatment of children with lobar pneumonia caused by MP infection. Results: Children with lobar pneumonia caused by MP infection who demonstrated absolute indications for bronchoscopy exhibited more severe clinical manifestations, and children without absolute indications for bronchoscopy had a better prognosis even without bronchoscopic intervention. To establish our early warning model of bronchoscopic intervention for children with lobar pneumonia caused by MP infection, we used the following indices: C-reactive protein ≥20.94 mg/L (ß1=2.253) received 3 points, while a fever duration before bronchoscopy ≥6.5 d (ß2=1.424), lactate dehydrogenase ≥461.5 U/L (ß3=1.246), or fever (ß4=1.223) each received 2 points, and the complication of pleural effusion (ß5=0.841) received 1 point, for a total possible score of 10 points. Conclusions: When the score for the children with lobar pneumonia caused by MP infection was ≥6, the possibility of bronchoscopic intervention for treatment was >80%. The higher the score, the greater the possibility of bronchoscopic intervention.

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PLK1 is currently at the forefront of mitotic research and has emerged as a potential target for small cell lung cancer (SCLC) therapy. However, the factors influencing the efficacy of PLK1 inhibitors remain unclear. Herein, BRCA1 was identified as a key factor affecting the response of SCLC cells to BI-2536. Targeting AURKA with alisertib, at a non-toxic concentration, reduced the BI-2536-induced accumulation of BRCA1 and RAD51, leading to DNA repair defects and mitotic cell death in SCLC cells. In vivo experiments confirmed that combining BI-2536 with alisertib impaired DNA repair capacity and significantly delayed tumor growth. Additionally, GSEA analysis and loss- and gain-of-function assays demonstrated that MYC/MYCN signaling is crucial for determining the sensitivity of SCLC cells to BI-2536 and its combination with alisertib. The study further revealed a positive correlation between RAD51 expression and PLK1/AURKA expression, and a negative correlation with the IC50 values of BI-2536. Manipulating RAD51 expression significantly influenced the efficacy of BI-2536 and restored the MYC/MYCN-induced enhancement of BI-2536 sensitivity in SCLC cells. Our findings indicate that the BRCA1 and MYC/MYCN-RAD51 axes govern the response of small cell lung cancer to BI-2536 and its combination with alisertib. This study propose the combined use of BI-2536 and alisertib as a novel therapeutic strategy for the treatment of SCLC patients with MYC/MYCN activation.

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Azepinas , Proteína BRCA1 , Neoplasias Pulmonares , Proteínas Proto-Oncogénicas c-myc , Pirimidinas , Carcinoma Pulmonar de Células Pequeñas , Carcinoma Pulmonar de Células Pequeñas/tratamiento farmacológico , Carcinoma Pulmonar de Células Pequeñas/metabolismo , Carcinoma Pulmonar de Células Pequeñas/patología , Carcinoma Pulmonar de Células Pequeñas/genética , Humanos , Neoplasias Pulmonares/tratamiento farmacológico , Neoplasias Pulmonares/patología , Neoplasias Pulmonares/metabolismo , Neoplasias Pulmonares/genética , Proteína BRCA1/metabolismo , Proteína BRCA1/genética , Proteínas Proto-Oncogénicas c-myc/metabolismo , Proteínas Proto-Oncogénicas c-myc/genética , Pirimidinas/farmacología , Pirimidinas/uso terapéutico , Animales , Línea Celular Tumoral , Azepinas/farmacología , Aurora Quinasa A/metabolismo , Aurora Quinasa A/antagonistas & inhibidores , Recombinasa Rad51/metabolismo , Ratones , Ratones Desnudos , Proteínas de Ciclo Celular/metabolismo , Proteínas Serina-Treonina Quinasas/metabolismo , Quinasa Tipo Polo 1 , Reparación del ADN/efectos de los fármacos , Femenino , Ensayos Antitumor por Modelo de Xenoinjerto , Pteridinas

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Myocardial infarction (MI) is one of the leading causes of death. This is attributed to the dramatic changes in the myocardial microenvironment post-MI. Therefore, effective intervention in the early stages of MI is significant for inhibiting its progression and improving cardiac function. Herein, an injectable composite hydrogel scaffold (Gel-pBP@Mg) was developed by integrating magnesium (Mg)-modified black phosphorus nanosheets (pBP@Mg) into a reactive oxygen species-responsive hydrogel (Gel). This loose and porous Gel provides a natural platform for carrying pBP@Mg. In situ, sustained release of pBP@Mg is achieved via responsive ROS degradation in the infarct site. The high ROS reactivity of Black phosphorus nanosheets (BPNSs) can effectively inhibit the progression of oxidative stress in the infarct area and reduce inflammatory response by down-regulating the NF-κB pathway. Additionally, the sustained release of Mg loaded on the surface of BPNSs can effectively promote angiogenesis in MI, which is significant for the long-term prognosis after infarction. Our developed Gel-pBP@Mg effectively blocked infarction progression and improved myocardial function by sustainably inhibiting the "oxidative stress-inflammation" reaction chain and pro-angiogenesis. This study reveals Gel-pBP@Mg composite therapeutic potential in treating MI through In vitro and In vivo studies, providing a promising modality for MI treatment.

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Antioxidantes , Infarto del Miocardio , Estrés Oxidativo , Fósforo , Especies Reactivas de Oxígeno , Animales , Masculino , Ratones , Angiogénesis , Antioxidantes/farmacología , Antioxidantes/química , Hidrogeles/química , Magnesio/química , Magnesio/farmacología , Infarto del Miocardio/tratamiento farmacológico , Nanoestructuras/química , Neovascularización Fisiológica/efectos de los fármacos , Estrés Oxidativo/efectos de los fármacos , Fósforo/química , Especies Reactivas de Oxígeno/metabolismo

RESUMEN

Endometrial cancer (EC) is the most common cancer of the female reproductive tract, and there is an urgent need to develop new candidate drugs with good efficacy and safety to improve the survival rate and life quality of EC patients. Herein, a series of new azaphenothiazine derivatives were designed and synthesized and their anti-EC activities were evaluated. Among them, compound 33 showed excellent antiproliferative activities against both progesterone-sensitive ISK cells and progesterone-resistant KLE cells. Moreover, 33 could significantly inhibit colony formation and migration of EC cells and induce cell apoptosis. Remarkably, 33 significantly suppressed KLE xenograft tumor growth without influencing body weights or key organs. In addition, 33 exhibited good pharmacokinetic properties and low extrapyramidal side effects. Mechanism research indicated that 33 reduced Ca2+ levels in mitochondria by targeting GRP75 and disrupting its interaction with IP3R. Overall, 33 showed promising potential as an anti-EC candidate agent.

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Antineoplásicos , Calcio , Proliferación Celular , Neoplasias Endometriales , Receptores de Inositol 1,4,5-Trifosfato , Mitocondrias , Fenotiazinas , Humanos , Femenino , Mitocondrias/efectos de los fármacos , Mitocondrias/metabolismo , Animales , Fenotiazinas/farmacología , Fenotiazinas/síntesis química , Fenotiazinas/química , Fenotiazinas/uso terapéutico , Calcio/metabolismo , Neoplasias Endometriales/tratamiento farmacológico , Neoplasias Endometriales/patología , Neoplasias Endometriales/metabolismo , Proliferación Celular/efectos de los fármacos , Ratones , Antineoplásicos/farmacología , Antineoplásicos/síntesis química , Antineoplásicos/química , Antineoplásicos/uso terapéutico , Receptores de Inositol 1,4,5-Trifosfato/metabolismo , Línea Celular Tumoral , Homeostasis/efectos de los fármacos , Apoptosis/efectos de los fármacos , Ratones Desnudos , Proteínas HSP70 de Choque Térmico/metabolismo , Descubrimiento de Drogas , Relación Estructura-Actividad , Ratones Endogámicos BALB C , Proteínas de la Membrana

RESUMEN

Objective: To deepen the imaging-pathological mechanism of primary central nervous system lymphoma (PCNSL) and provide a theoretical basis for clinical diagnosis and treatment, the functional magnetic resonance imaging (fMRI) characteristics of PCNSL were analyzed, and the relationship between the fMRI characteristics and vasculogenic mimicry (VM) and reticular fiber in PCNSL was discussed. Methods: Ninety-six patients with PCNSL treated in our hospital were divided into three groups according to the pathological examination results, including strong positive group of VM (n = 40), weak positive group of VM (n = 56), strong positive group of reticular fiber (n = 45) and weak positive group of reticular fiber (n = 51). The levels of augmentation index and apparent diffusion coefficient (ADC) were compared among the groups. receiver operator characteristic (ROC) curve analysis was used to analyze the clinical value of ADC value in differential diagnosis of PCNSL. Results: The levels of augmentation index in the strong positive group of VM were significantly higher than that in the weak positive group of VM, and the ADC value in the strong positive group of VM was significantly lower than that in the weak positive group of VM (P < 0.001). The levels of augmentation index in the strong positive group of reticular fiber were significantly higher than that in the weak positive group of reticular fiber, and ADC value in the strong positive group of reticular fiber was significantly lower than that in reticular fiber weak positive group (P < 0.001). Pearson correlation analysis showed that the levels of augmentation index were positively correlated with VM and reticular fiber (r = 0.529, 0.548, P < 0.001) and the ADC value was negatively correlated with VM and reticular fiber (r = -0.485, -0.513, P < 0.001). There was a significant negative correlation between necrotic lesions and VM (r = -0.185, P < 0.05). The area under the curve (AUC) values of average ADC value, minimum ADC value, and maximum ADC value for individual differential diagnosis of PCNSL were 0.920, 0.901, and 0.702, while the AUC of the combined differential diagnosis was 0.985, with a sensitivity of 95.00 % and a specificity of 92.70 %. Conclusion: The levels of augmentation index and the ADC value of PCNSL focus are significantly correlated with VM and reticular fiber, and there is a strong negative correlation between necrotic lesions and VM. MRI imaging technology is of great significance in revealing the biological behavior of PCNSL, which can effectively reveal the relationship between VM and reticular fibers and the MRI characteristics in PCNSL, thereby providing a new imaging basis for the clinical diagnosis and treatment of PCNSL.

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Multimodal deep learning plays a pivotal role in supporting the processing and learning of diverse data types within the realm of artificial intelligence generated content (AIGC). However, most photonic neuromorphic processors for deep learning can only handle a single data modality (either vision or audio) due to the lack of abundant parameter training in optical domain. Here, we propose and demonstrate a trainable diffractive optical neural network (TDONN) chip based on on-chip diffractive optics with massive tunable elements to address these constraints. The TDONN chip includes one input layer, five hidden layers, and one output layer, and only one forward propagation is required to obtain the inference results without frequent optical-electrical conversion. The customized stochastic gradient descent algorithm and the drop-out mechanism are developed for photonic neurons to realize in situ training and fast convergence in the optical domain. The TDONN chip achieves a potential throughput of 217.6 tera-operations per second (TOPS) with high computing density (447.7 TOPS/mm2), high system-level energy efficiency (7.28 TOPS/W), and low optical latency (30.2 ps). The TDONN chip has successfully implemented four-class classification in different modalities (vision, audio, and touch) and achieve 85.7% accuracy on multimodal test sets. Our work opens up a new avenue for multimodal deep learning with integrated photonic processors, providing a potential solution for low-power AI large models using photonic technology.

RESUMEN

Osmotic stress is a major threaten to the growth and yield stability of Brassica napus. Post-translational modification with O-linked ß-N-acetylglucosamine (O-GlcNAc) is ubiquitous in plants, and participates in a variety of signal transduction and metabolic regulation. However, studies on the role of O-GlcNAc transferase (OGT) in osmotic stress tolerance of plants are limited. In previous study, a O-glycosyltransferase, named BnaC09.OGT, was identified from the B. napus variety 'Zhongshuang 11' by yeast one hybrid with promoter of BnaA01.GPAT9. It was found that BnaC09.OGT localized in both nucleus and cytoplasm. The spatiotemporal expression pattern of BnaC09.OGT exhibited tissue specificity in developmental seed, especially in 15 days after pollination. In view of osmotic stress inducing, the BnaC09.OGT overexpression and knockout transgenic lines were constructed for biological function study. Phenotypic analysis of BnaC09.OGT overexpression seedlings demonstrated that BnaC09.OGT could enhance osmotic stress tolerance than WT and knockout lines in euphylla stage under 15% PEG6000 treatment after 7 days. In addition, compared with WT and knockout lines, overexpression of BnaC09.OGT had significantly higher activities of antioxidant enzymes (SOD and POD), higher content of soluble saccharide, and while significantly less content of malondialdehyde, proline and anthocyanidin under 15% PEG6000 treatment after 7 days. On the other hand, the unsaturated fatty acid content of BnaC09.OGT overexpression was significantly higher than that of WT and knockout lines, so it is speculated that the BnaC09.OGT could increase unsaturated fatty acid biosynthesis for osmotic stress tolerance by promoting the expression of BnaA01.GPAT9 in glycerolipid biosynthesis. In summary, the above results revealed that the function of BnaC09.OGT provides new insight for the analysis of the pathway of O-glycosylation in regulating osmotic stress tolerance in B. napus.

RESUMEN

The COVID-19 pandemic prompted the advancement of vaccine technology using mRNA delivery into the host cells. Consequently, mRNA-based vaccines have emerged as a practical approach against SARS-CoV-2 owing to their inherent properties, such as cost-effectiveness, rapid manufacturing, and preservation. These features are vital, especially in resource-constrained regions. Nevertheless, the design of mRNA-based vaccines is intricately intertwined with the refinement of biophysical technologies, thereby establishing their high potential. The preparation of mRNA-based vaccines involves a sequence of phases combining medical and molecular biophysical technologies. Furthermore, their efficiency depends on the capability to optimize their positive attributes, thus paving the way for their subsequent preclinical and clinical evaluations. Using biophysical techniques, the characterization of nucleic acids extends from their initial formulation to their cellular internalization abilities and encapsulation in biomolecule complexes, such as lipid nanoparticles (LNPs), for designing mRNA-based LNPs. Furthermore, nanoparticles are subjected to a series of careful screening steps to assess their physical and chemical characteristics before achieving an optimum formulation suitable for preclinical and clinical studies. This review provides a comprehensive understanding of the fundamental role of biophysical techniques in the complex development of mRNA-based vaccines and their role in the recent success during the COVID-19 pandemic.

Asunto(s)

Vacunas contra la COVID-19 , COVID-19 , ARN Mensajero , SARS-CoV-2 , Humanos , Vacunas contra la COVID-19/química , Vacunas contra la COVID-19/inmunología , SARS-CoV-2/inmunología , SARS-CoV-2/genética , COVID-19/prevención & control , ARN Mensajero/química , Vacunas de ARNm , Nanopartículas/química , Animales , Vacunas Sintéticas/química , Liposomas

RESUMEN

BACKGROUND: Milk somatic cell count (SCC) is an international standard for identifying mastitis in dairy cows and measuring raw milk quality. Milk SCC can be predicted based on dielectric relaxation parameters (DRPs). We noted a high correlation between DRPs and the milk composition content (MCC), and so we hypothesized that combining DRPs with MCC could improve the prediction accuracy of milk SCC. The present study aimed to analyze the relationship between milk SCC, DRPs and MCC, as well as to investigate the potential of combining DRPs with MCC to improve the prediction accuracy of milk SCC. RESULTS: The dielectric spectra (20-4500 MHz) of 276 milk samples were measured, and their DRPs (εl, εh, Δε, τ and σ) were solved by the modified Debye equation. The SCC prediction models were developed using dielectric full spectra, DRPs and DRPs combined with MCC. The results showed the correlations between DRPs (εl, εh, Δε and σ) and MCC (fat, protein, lactose and total solids) were high, and SCC exhibited a non-linear relationship with DRPs and MCC. The 5DRPs + MCC-generalized regression neural network model had the best prediction, with a standard error of prediction for prediction of 0.143 log SCC mL-1 and residual of the prediction bias of 2.870, which was superior to the models based on full spectra, DRPs and near-infrared or visible/near-infrared. CONCLUSION: The present study has improved the prediction accuracy of milk SCC based on the DRPs combing MCC and provides a new method for dairy farming and milk quality assessment. © 2024 Society of Chemical Industry.