Facile fabrication of Au-Ag alloy nanoparticles/Ag nanowires SERS substrates with bimetallic synergistic effect for ultra-sensitive detection of crystal violet and alkali blue 6B.

The bimetallic nanostructure of Au and Ag can integrate two distinct properties into a novel substrate compared to single metal nanostructures. This work presents a rapid and sensitive surface-enhanced Raman scattering (SERS) substrate for detecting illegal food additives and dyes of crystal violet (CV) and alkali blue 6B (AB 6B). Au-Ag alloy nanoparticles/Ag nanowires (Au-Ag ANPs/Ag NWs) were prepared by solid-state ionics method and vacuum thermal evaporation method at 5µA direct current electric field (DCEF), the molar ratio of Au to Ag was 1:18.34. Many 40 nm-140 nm nanoparticles regularly existed on the surface of Ag NWs with the diameters from 80 nm to 150 nm. The fractal dimension of Au-Ag ANPs/Ag NWs is 1.69 due to macroscopic dendritic structures. Compared with single Ag NWs, the prepared Au-Ag ANPs/Ag NWs substrates show superior SERS performance because of higher surface roughness, the SERS active of Ag NWs and bimetallic synergistic effect caused by Au-Ag ANPs, so the limit of detections (LOD) of Au-Ag ANPs/Ag NWs SERS substrates toward detection of CV and AB 6B were as low as 10-16mol/L and 10-9mol/L, respectively. These results indicate that Au-Ag ANPs/Ag NWs substrates can be used for rapid and sensitive detection of CV and AB 6B and have great development potential for detection of illegal food additives and hazardous substances in the fields of environmental monitoring and food safety.

Integration of zinc anode and cement: unlocking scalable energy storage.

The significant volume of existing buildings and ongoing annual construction of infrastructure underscore the vast potential for integrating large-scale energy-storage solutions into these structures. Herein, we propose an innovative approach for developing structural and scalable energy-storage systems by integrating safe and cost-effective zinc-ion hybrid supercapacitors into cement mortar, which is the predominant material used for structural purposes. By performing air entrainment and leveraging the adverse reaction of the ZnSO4 electrolyte, we can engineer an aerated cement mortar with a multiscale pore structure that exhibits dual functionality: effective ion conductivity in the form of a cell separator and a robust load-bearing capacity that contributes to structural integrity. Consequently, a hybrid supercapacitor building block consisting of a tailored cement mortar, zinc metal anode and active carbon cathode demonstrates exceptional specific energy density (71.4 Wh kg-1 at 68.7 W kg-1), high areal energy density (2.0 Wh m-2 at 1.9 W m-2), favorable cycling stability (∼92% capacity retention after 1000 cycles) and exceptional safety (endurance in a 1-hour combustion test). By demonstrating the scalability of the structural energy-storage system coupled with solar energy generation, this new device exhibits great potential to revolutionize energy-storage systems.

Simultaneously mapping the 3D distributions of multiple heavy metals in an industrial site using deep learning and multisource auxiliary data.

Three-dimensional (3D) distributions of multiple soil pollutants in industrial site are crucial for risk assessment and remediation. Yet, their 3D prediction accuracies are often low because of the strong variability of pollutants and availability of 3D covariate data. This study proposed a patch-based multi-task convolution neural network (MT-CNN) model for simultaneously predicting the 3D distributions of Zn, Pb, Ni, and Cu at an industrial site. By integrating neighborhood patches from multisource covariates, the MT-CNN model captured both horizontal and vertical pollution information, and outperformed the widely-used methods such as random forest (RF), ordinary Kriging (OK), and inverse distance weighting (IDW) for all the 4 heavy metals, with R2 values of 0.58, 0.56, 0.29 and 0.23 for Zn, Pb, Ni and Cu, respectively. Besides, the MT-CNN model achieved more stable predictions with reasonable accuracy, in comparison with the single-task CNN model. These results highlighted the potential of the proposed MT-CNN in simultaneously mapping the 3D distributions of multiple pollutants, while balancing the model training, maintaining and accuracy for low-cost rapid assessment of soil pollution at industrial sites.

Chromofungin mitigates free fatty acids-induced endothelial inflammation via inhibition of NOD-like receptor thermal protein domain-associated protein 3 mediated by adenosine 5'-monophosphate-activated protein kinase.

Free fatty acids (FFAs) have emerged as significant risk factors for atherosclerosis (AS). Prolonged exposure to FFAs induces vascular endothelial injury, including inflammatory responses and oxidative stress, which are central events in AS. Chromofungin (CHR), a peptide derived from chromogranin A (CGA), has been implicated in various biological functions. However, its physiological roles in endothelial biology and its involvement in the pathological development of AS have not been previously reported. In the present study, we investigated the underlying mechanisms through which CHR exerts its beneficial effects on FFA-challenged human aortic endothelial cells (HAECs). We found that treatment with CHR ameliorated the FFA-induced reduction in cell viability and increase in lactate dehydrogenase (LDH) release. Additionally, CHR mitigated oxidative stress by reducing mitochondrial reactive oxygen species (ROS) levels and increasing superoxide dismutase (SOD) activity. Furthermore, exposure to FFAs increased NADPH oxidase (NOX) 4 expression at both the mRNA and protein levels, which were attenuated by CHR in a dose-dependent manner. Notably, CHR reduced the levels of nucleotide-binding domain and leucine-rich repeat-containing (NLR) family pyrin domain containing 3 (NLRP3), apoptosis-associated speck-like protein containing a CARD (ASC), and cleaved caspase-1 (p10), key components of the NLRP3 inflammasome complex, as well as interleukin 1ß (IL-1ß) and interleukin-18 (IL-18) expression. Mechanistically, it was demonstrated that FFAs reduced the phosphorylation of AMP-activated protein kinase (AMPK) and acetyl-CoA carboxylase (ACC), which were rescued by CHR in a dose-dependent manner. Conversely, inhibition of AMPK with its specific inhibitor compound C abolished the protective effects of CHR against FFA-induced activation of the NLRP3 inflammasome in HAECs. Based on these findings, we conclude that CHR may serve as a promising agent for maintaining normal endothelial cell function and treating AS.

Enhancement of extraction efficiency and functional properties of chickpea protein isolate using pulsed electric field combined with ultrasound treatment.

Chickpea protein isolate (CPI) is a promising dietary protein with the advantages of low allergenicity, easy digestion and balanced composition of essential amino acids. However, due to the thick skin of chickpeas, the extraction of CPI is challenging, resulting in lower efficiency of the alkaline extraction-isoelectric precipitation (AE-IEP) method. Therefore, the present study investigated the effect of pulsed electric field combined with ultrasound (PEF-US) treatment on the extraction efficiency of CPI and the functional properties was characterized. Parameter optimization was carried out using response surface methodology (RSM), with the following optimized conditions: pulse duration of 87 s, electric field intensity of 0.9 kV/cm, ultrasonic time of 15 min, and ultrasonic power of 325 W. Under the optimized conditions, the yield of CPI after combined (PEF-US) treatment was 13.52 ± 0.13 %, which was a 47.28 % improvement over the AE-IEP method. This yield was better than that obtained with either individual PEF or US treatment. Additionally, the functional properties (solubility, emulsification, and foaming) of CPI were significantly enhanced compared to AE-IEP. However, the stability of emulsification and foaming did not show significant differences among the four methods. The PEF-US method efficiently extracts CPI with excellent functional properties, enabling the production of proteins as desired functional additives in the food industry.

Blood-derived factors to brain communication in brain diseases.

Brain diseases, mainly including acute brain injuries, neurodegenerative diseases, and mental disorders, have posed a significant threat to human health worldwide. Due to the limited regenerative capability and the existence of the blood-brain barrier, the brain was previously thought to be separated from the rest of the body. Currently, various cross-talks between the central nervous system (CNS) and peripheral organs have been widely described, including the brain-gut axis, the brain-liver axis, the brain-skeletal muscle axis, and the brain-bone axis. Moreover, several lines of evidence indicate that leveraging systemic biology intervention approaches, including but not limited to lifestyle interventions, exercise, diet, blood administration, and peripheral immune responses, have demonstrated a significant influence on the progress and prognosis of brain diseases. The advancement of innovative proteomic and transcriptomic technologies has enriched our understanding of the nuanced interplay between peripheral organs and brain diseases. An array of novel or previously underappreciated blood-derived factors have been identified to play pivotal roles in mediating these communications. In this review, we provide a comprehensive summary of blood-to-brain communication following brain diseases. Special attention is given to the instrumental role of blood-derived signals, positing them as significant contributors to the complex process of brain diseases. The insights presented here aim to bridge the current knowledge gaps and inspire novel therapeutic strategies for brain diseases.

Relationship between left atrial isolated surface area and early-term recurrence in patients with persistent atrial fibrillation after cryoballoon ablation.

OBJECTIVE: To investigate the effect of pulmonary vein antrum enlargement combined with left atrial roof cryoballoon ablation in patients with persistent atrial fibrillation (PeAF) by analyzing the relationship between left atrial isolation area surface area (ISA) and early postoperative recurrence. METHODS: 93 patients with PeAF were classified into recurrence and non-recurrence groups according to the results of the 1-year follow-up. Three-dimensional electroanatomical labeling map was constructed and merged with that of the left atrial pulmonary vein CTA, and the ISA and the left atrial surface area (LASA) were measured and analyzed to determine the relationship between ISA/LASA in relation to early postoperative recurrence. RESULTS: 93 patients were included and followed up for 1 year with AF-free recurrence rate of 75.3%. The ISA of the recurrence group was lower than that of the non-recurrence group. Left atrial internal diameter (LAD), left common pulmonary vein, the ISA, the ISA/LASA and early-term recurrence had statistical significance in both groups. The factors that significantly predicted early-term recurrence were left common pulmonary vein and the ISA/LASA. ISA/LASA (HR 0, 95% CI 0-0.005, P = 0.008) and left common pulmonary vein trunk (HR 7.754, 95% CI 2.256-25.651, P = 0.001) were the independent risk factors for early recurrence. ROC curve analysis showed that ISA/LASA predicted the best early recurrence after operation with a cut-off value of 15.2%. CONCLUSION: A greater ISA/LASA reduces early recurrence after cryoablation in patients with PeAF. An ISA/LASA of 15.2% may be the best cut-off value for predicting early recurrence after cryoablation for PeAF.

Conversion of Carboxylic Acids to Sulfonamide Bioisosteres via Energy Transfer Photocatalysis.

More than 450 drugs containing a carboxylic acid functional group have been marketed worldwide. Herein, we report a concise and environmentally friendly organic photoinduced protocol for the interconversion of carboxylic acids into their bioisosteres. With this strategy, a variety of substrates, including alkyl, (hetero)aryl, and alkenyl acids, as well as various biologically relevant acids are successfully converted into primary sulfonamides.

The negative feedback loop of NF-κB/miR-202-5p/HMGB2 attenuates sepsis induced acute kidney injury.

Sepsis represents a primary cause of acute kidney injury (AKI), yet the underlying mechanisms of septic AKI remain poorly understood. Thus, there exists an urgent need for a deeper understanding of its underlying mechanisms and the development of effective therapeutic strategies. Our study reveals a notable induction in microRNA-202-5p (miR-202-5p) levels within renal tubular cells in septic AKI both in vivo and in vitro models. Treatment of renal tubular cells with LPS induced NF-κB activation, which was linked to the induction of miR-202-5p. ChIP assays confirmed NF-κB binding to the miR-202-5p gene promoter upon LPS stimulation. Functionally, miR-202-5p mimics attenuated tubular cell death, kidney injury, and intra-renal inflammatory cytokine production, whereas inhibition of miR-202-5p conferred injurious effects in septic AKI. Notably, miR-202-5p suppressed the expression of High Mobility Group Box 2 (HMGB2) in both in vitro and in vivo septic AKI models. Luciferase microRNA target assays further validated HMGB2 as a direct target of miR-202-5p. Knockdown of HMGB2 inhibits LPS-induced NF-κB activation in septic AKI, as evidenced by HMGB2 siRNA transfection significantly inhibited the nuclear translocation of NF-κB. Together, these findings elucidate the NF-κB/miR-202-5p/HMGB2 negative feedback loop which can attenuate kidney injury by inhibiting renal inflammation in septic AKI. Our findings open new avenues for developing targeted therapies to manage septic AKI effectively.

Pharmacokinetic study of iptacopan and its two acyl glucuronide metabolites in monkey plasma by liquid chromatography combined with electrospray ionization tandem mass spectrometry.

In this study, a simple and sensitive liquid chromatography tandem mass spectrometric method was developed and validated for the determination of iptacopan and two acyl glucuronidation metabolites in monkey plasma. The plasma sample was precipitated with acetonitrile and then separated on an Acquity UPLC BEH C18 column (2.1 × 100 mm, 1.7 µm) using 0.1% formic acid and 5 mM ammonium acetate in water and acetonitrile as the mobile phase. The mass spectrometry (MS) detection was performed in positive multiple reactions monitoring (MRM) mode with precursor-to-production transitions. The developed assay was validated over the range of 1-2000 ng/mL for three analytes with correlation coefficient (r) more than 0.99. The validation parameters including accuracy, precision, carryover effect, matrix effect, recovery, and stability were all within the acceptable limits. The validated method has been applied to investigate the pharmacokinetics of iptacopan and its two acyl glucuronidation metabolites in monkey plasma. After intravenous administration, iptacopan showed low clearance (2.75 mL/min/kg) in monkey plasma. After oral administration, the bioavailability was 55.43%. The exposure (AUC0-t) of direct acyl glucuronide (AG) of iptacopan accounts for 9.73% of the iptacopan plasma exposure. The AUC0-t of AG of dealkylated metabolite of iptacopan was present at a lower level, accounting for 0.5% of the iptacopan plasma exposure.

Regulating coordination environment in metal-organic Framework@Cuprous oxide Core-Shell catalyst for Promoting electrocatalytic oxygen evolution reaction.

As a kind of promising oxygen evolution reaction (OER) catalysts, metal-organic frameworks (MOF) are often constrained by their inherent poor electroconductivity and structural instability. In this study, we developed a mono-dispersed zeolitic imidazolate framework-67@cuprous oxide (ZIF-67@Cu2O) core-shell catalyst via in-situ growth method for highly efficient alkaline OER. The ZIF-67@Cu2O shows an excellent OER activity with a low overpotential of 254 mV at 10 mA cm-2 and Tafel slope of 87.9 mV·dec-1 in 1.0 M KOH. Furthermore, the ZIF-67@Cu2O also shows a high turnover frequency (TOF) of 0.166 s-1 at 1.60  V vs. RHE and long-term stability for 160 h at a high current density of 100 mA cm-2. The unique core-shell structure with the Cu2O core linked with ZIF-67 shell through interfacial di-oxygen bridge improves the structural stability, enhances the charge transfer, and provides more active sites. Moreover, the interfacial coordination structure was regulated from Co-N4 to Co-N2O2 which elevates the valence of Co sites and optimizes the adsorption free energy of oxygen-containing intermediates, thus improving the electrocatalytic OER performance. This work could propose the way for designing novel MOF-based nanomaterials and developing desirable and robust heterogeneous OER catalysts.

Alu insertion-mediated dsRNA structure formation with pre-existing Alu elements as a disease-causing mechanism.

We previously identified a homozygous Alu insertion variant (Alu_Ins) in the 3'-untranslated region (3'-UTR) of SPINK1 as the cause of severe infantile isolated exocrine pancreatic insufficiency. Although we established that Alu_Ins leads to the complete loss of SPINK1 mRNA expression, the precise mechanisms remained elusive. Here, we aimed to elucidate these mechanisms through a hypothesis-driven approach. Initially, we speculated that, owing to its particular location, Alu_Ins could independently disrupt mRNA 3' end formation and/or affect other post-transcriptional processes such as nuclear export and translation. However, employing a 3'-UTR luciferase reporter assay, Alu_Ins was found to result in only an ∼50% reduction in luciferase activity compared to wild type, which is insufficient to account for the severe pancreatic deficiency in the Alu_Ins homozygote. We then postulated that double-stranded RNA (dsRNA) structures formed between Alu elements, an upstream mechanism regulating gene expression, might be responsible. Using RepeatMasker, we identified two Alu elements within SPINK1's third intron, both oriented oppositely to Alu_Ins. Through RNAfold predictions and full-length gene expression assays, we investigated orientation-dependent interactions between these Alu repeats. We provide compelling evidence to link the detrimental effect of Alu_Ins to extensive dsRNA structures formed between Alu_Ins and pre-existing intronic Alu sequences, including the restoration of SPINK1 mRNA expression by aligning all three Alu elements in the same orientation. Given the widespread presence of Alu elements in the human genome and the potential for new Alu insertions at almost any locus, our findings have important implications for detecting and interpreting Alu insertions in disease genes.

Kinesin-7 CENP-E mediates centrosome organization and spindle assembly to regulate chromosome alignment and genome stability.

Chromosome congression and alignment are essential for cell cycle progression and genomic stability. Kinesin-7 CENP-E, a plus-end-directed kinesin motor, is required for chromosome biorientation, congression and alignment in cell division. However, it remains unclear how chromosomes are aligned and segregated in the absence of CENP-E in mitosis. In this study, we utilize the CRISPR-Cas9 gene editing method and high-throughput screening to establish CENP-E knockout cell lines and reveal that CENP-E deletion results in defects in chromosome congression, alignment and segregation, which further promotes aneuploidy and genomic instability in mitosis. Both CENP-E inhibition and deletion lead to the dispersion of spindle poles, the formation of the multipolar spindle and spindle disorganization, which indicates that CENP-E is necessary for the organization and maintenance of spindle poles. In addition, CENP-E heterozygous deletion in spleen tissues also leads to the accumulation of dividing lymphocytes and cell cycle arrest in vivo. Furthermore, CENP-E deletion also disrupts the localization of key kinetochore proteins and triggers the activation of the spindle assembly checkpoint. In summary, our findings demonstrate that CENP-E promotes kinetochore-microtubule attachment and spindle pole organization to regulate chromosome alignment and spindle assembly checkpoint during cell division.

Cu(I)-Induced 'Click Reaction' Involving Coordination and Covalent Assembly of Hybrid Borates for the Electrocatalytic CO2 Reduction.

The design and synthesis of hybrid borates by the organic ligand modification method are urgent and undeveloped areas of research. It is difficult to directly integrate organoboronic acids within inorganic borate chemistry by adopting the traditional preparation approaches. This work reports a facile synthetic method to synthesize a large family of pyrazole molecule-protected borates in a rapid and precise manner under mild conditions. A unique cyclic eight-membered B4O4-ring has been identified as the cluster core for all these hybrid borates with two different conformations (boat and crown). This strategy can be applied to a system of pyrazolyl molecules to generate such hybrid borates in two independent routes from organoboronic or inorganic boric acids. Furtherly, the mechanism of 'click reaction' between boric acid and pyrazole induced by copper ions has been proposed based on the synthetic conditions and the structure of intermediate. Due to the bimetallic Cu sites and the functional surfaces, these materials can be used as electrocatalysts for CO2 reduction reaction and efficiently enhance the selectivity of HCOOH and C2H4. Our strategy can be regarded as a typical template technique for organic molecule-protected borates.

Fei Jin Sheng formula and its effectiveness in treating advanced non-small cell lung cancer: An observational study.

Objective: This study involved evaluating the efficacy of the Feijinsheng formula in the therapeutic management of patients with advanced non-small cell lung cancer (NSCLC). Methods: We extracted the medical records of patients with advanced NSCLC undergoing treatment in the oncology department at the Second Affiliated Hospital of Zhejiang Chinese Medicine University from the medical record system. After applying inclusion and exclusion criteria, clinical data of 150 patients were collected. The patients were stratified into two groups based on their usage of the Feijinsheng formula, comprising 69 cases in the Exposed group and 81 cases in the Control group. A comparative analysis of the survival time difference between the two groups was conducted. Results: The data between the two groups exhibited similarity (p > 0.05). Following treatment, the Exposed group demonstrated a notably prolonged overall survival time compared to the Control group (p < 0.05). While the Exposed group displayed a higher objective remission rate than the Control group, this disparity did not reach statistical significance (p > 0.05). Conclusion: The Feijinsheng formula extended the duration of survival of patients with advanced NSCLC.

Adaptor protein Src-homology 2 domain containing E (SH2E) deficiency induces heart defect in zebrafish.

Adaptor proteins play crucial roles in signal transduction across diverse signaling pathways. Src-homology 2 domain-containing E (SH2E) is the adaptor protein highly expressed in vascular endothelial cells and myocardium during zebrafish embryogenesis. In this study we investigated the function and mechanisms of SH2E in cardiogenesis. We first analyzed the spatiotemporal expression of SH2E and then constructed zebrafish lines with SH2E deficiency using the CRISPR-Cas9 system. We showed that homozygous mutants developed progressive pericardial edema (PCE), dilated atrium, abnormal atrioventricular looping and thickened atrioventricular wall from 3 days post fertilization (dpf) until death; inducible overexpression of SH2E was able to partially rescue the PCE phenotype. Using transcriptome sequencing analysis, we demonstrated that the MAPK/ERK and NF-κB signaling pathways might be involved in SH2E-deficiency-caused PCE. This study underscores the pivotal role of SH2E in cardiogenesis, and might help to identify innovative diagnostic techniques and therapeutic strategies for congenital heart disease.

Dietary supplementation of distiller's grains yeast cultures improves performance and immunity by altering the intestinal flora of broilers.

BACKGROUND: Distiller's grains are a by-product of liquor production with a higher yield than liquor. Developing and utilizing distiller's grains well could alleviate the problem of scarce feed resources. Our present experiment was conducted with 6000 yellow-feathered broilers to study the effects of adding distiller's grains yeast cultures (DGYC) to the diet on growth performance and immunity of broilers. The broilers were divided into five groups, receiving different DGYC concentrations during two stages. Growth performance, intestinal microorganisms and immune organ development were measured. RESULTS: The results showed that groups B and D, supplemented with medium and high concentrations of DGYC, respectively, had significantly improved growth performance compared to the control group (P < 0.05). Group D also showed higher immune organ index (P < 0.01), increased serum total protein, high-density lipoprotein and immunoglobulin levels (P < 0.05) and lower levels of low-density lipoprotein, triglycerides, interleukin 1ß and tumor necrosis factor α (P < 0.05). Hematoxylin and eosin staining confirmed improved immune organ development in group D (P < 0.05). Furthermore, in high-concentration group D, levels of short-chain fatty acids (SCFA; acetic, propionic and butyric acids) in cecal chyme were significantly increased (P < 0.05). The richness (Chao1) and diversity (Faith-pd) index of cecal microbiota were significantly higher in group D compared to the control group (P < 0.05). The microbial composition in group D differed from the control and medium-concentration group B. Seven bacteria (Clostridia-UCG-014, UCG-009, DTU089, UCG-010, Campylobacter, Harryflintia, Shuttleworthia) showed significant differences (P < 0.05). After DGYC feeding, DTU089 decreased, while other SCFA-producing bacteria increased (P < 0.05). Subsequently, KEGG function and corresponding signal pathway predictions were performed on bacteria with significant differences. Group D exhibited a higher enrichment of immune function pathways (P < 0.01) and showed significant changes in four immune signaling pathways according to the signal pathway heatmap. CONCLUSION: Our data suggest that high concentrations of DGYC can be applied as a feed additive for broilers that promotes growth, improves intestinal health and enhances certain immunity. © 2024 Society of Chemical Industry.

An integrated machine learning model enhances delayed graft function prediction in pediatric renal transplantation from deceased donors.

BACKGROUND: Kidney transplantation is the optimal renal replacement therapy for children with end-stage renal disease; however, delayed graft function (DGF), a common post-operative complication, may negatively impact the long-term outcomes of both the graft and the pediatric recipient. However, there is limited research on DGF in pediatric kidney transplant recipients. This study aims to develop a predictive model for the risk of DGF occurrence after pediatric kidney transplantation by integrating donor and recipient characteristics and utilizing machine learning algorithms, ultimately providing guidance for clinical decision-making. METHODS: This single-center retrospective cohort study includes all recipients under 18 years of age who underwent single-donor kidney transplantation at our hospital between 2016 and 2023, along with their corresponding donors. Demographic, clinical, and laboratory examination data were collected from both donors and recipients. Univariate logistic regression models and differential analysis were employed to identify features associated with DGF. Subsequently, a risk score for predicting DGF occurrence (DGF-RS) was constructed based on machine learning combinations. Model performance was evaluated using the receiver operating characteristic curves, decision curve analysis (DCA), and other methods. RESULTS: The study included a total of 140 pediatric kidney transplant recipients, among whom 37 (26.4%) developed DGF. Univariate analysis revealed that high-density lipoprotein cholesterol (HDLC), donor after circulatory death (DCD), warm ischemia time (WIT), cold ischemia time (CIT), gender match, and donor creatinine were significantly associated with DGF (P < 0.05). Based on these six features, the random forest model (mtry = 5, 75%p) exhibited the best predictive performance among 97 machine learning models, with the area under the curve values reaching 0.983, 1, and 0.905 for the entire cohort, training set, and validation set, respectively. This model significantly outperformed single indicators. The DCA curve confirmed the clinical utility of this model. CONCLUSIONS: In this study, we developed a machine learning-based predictive model for DGF following pediatric kidney transplantation, termed DGF-RS, which integrates both donor and recipient characteristics. The model demonstrated excellent predictive accuracy and provides essential guidance for clinical decision-making. These findings contribute to our understanding of the pathogenesis of DGF.

The combined application of electromagnetic navigation and porcine fibrin sealant in microwave ablation of lung tumors.

Purpose: This retrospective study aims to assess the efficacy of the combined application of electromagnetic navigation (EMN) and porcine fibrin sealant (PFS) in the microwave ablation (MWA) treatment of lung tumors. Material and methods: In our department from January 2022 to August 2023, 73 patients underwent MWA under standard computed tomography (CT) guidance (CT group) or CT guidance with additional application of EMN and PFS (CT-EMN-PFS group), respectively. The basic data of patients were recorded and analyzed using the Student's t-test and Chi-square test between the two groups, and single factor and multi-factors binary logistic regression analyses were conducted to determine the risk factors of pneumothorax; meanwhile the incidence of complications, the number of CT scans and dose length product (DLP) were calculated and compared between the two guidance modes. Results: Forty-seven patients underwent standard CT-guided MWA, meanwhile the remaining 26 patients underwent CT-guided MWA with combined application of EMN and PFS. The patients with lesions close to the bronchi or interlobar fissures, and underlying emphysema had a higher risk of pneumothorax, the corresponding odds ratio (OR) was 23.290 (p = 0.004), 33.300 (p = 0.019), and 8.007 (p = 0.012), respectively; the combined use of EMN and PFS could reduce the incidence of pneumothorax, with an OR of 0.094 (95 % confidence interval [CI]: 0.015-0.602, p = 0.013). The incidence rates of pneumothorax, pneumorrhagia and pleural effusion were 59.57 %, 61.70 %, and 19.15 % respectively in the CT group, and 30.77 %, 50.00 % and 7.69 % respectively in the CT-EMN-PFS group. The incidence rate of pneumothorax in the CT-EMN-PFS group was significantly lower than that in the CT group (p = 0.017). The median number of CT scans was 9 in the CT group and 5 in the CT-EMN-PFS group, respectively, meanwhile the median DLP was 1060.69 mGy*cm in the CT group and 600.04 mGy*cm in the CT-EMN-PFS group, respectively, which indicated there was a statistical difference in the amount of radiation exposure between the two groups (p < 0.001). Conclusion: The combined application of EMN and PFS demonstrates for the first time that there is a lower incidence rate of pneumothorax and significantly less radiation exposure during the MWA of the lung tumors.