Efficacy and safety of catheter ablation for atrial fibrillation in patients with heart failure with preserved ejection fraction: a systematic review and meta-analysis.

Background: Catheter ablation (CA) effectively treats atrial fibrillation (AF) in heart failure (HF) with reduced ejection fraction (HFrEF), improving clinical outcomes. However, its benefits for AF patients with heart failure with preserved ejection fraction (HFpEF) are still unclear. Methods: We systematically searched PubMed, Embase, Web of Science, the Cochrane Library, and Scopus for studies investigating outcomes of CA in AF patients with HFpEF. Efficacy indicators included freedom from AF and antiarrhythmic drugs (AAD) free AF elimination. Safety indicators comprised total complications, HF admission, all-cause admission, and all-cause mortality. Sixteen studies with 20,796 patients included in our research. Results: The comprehensive analysis demonstrated that, when comparing CA with medical therapy in HFpEF, no significant differences were observed in terms of HF admissions, all-cause admissions, and all-cause mortality [(OR: 0.42; 95% CI: 0.12-1.51, P = 0.19), (HR: 0.78; 95% CI: 0.48-1.27, P = 0.31), and (OR: 1.10; 95% CI: 0.83-1.44, P = 0.51)], while freedom from AF was significantly higher in CA (OR: 5.88; 95% CI: 2.99-11.54, P < 0.00001). Compared with HFrEF, CA in HFpEF showed similar rates of freedom from AF, AAD-free AF elimination, total complications, and all-cause admission were similar [(OR:0.91; 95% CI: 0.71,1.17, P =0.47), (OR: 0.97; 95% CI: 0.50-1.86, P = 0.93), (OR: 1.27; 95% CI: 0.47-3.41, P = 0.64), (OR: 1.11; 95% CI: 0.72, 1.73; P = 0.63)]. However, CA in HFpEF was associated with lower rates of HF admission and all-cause mortality [(OR: 0.35; 95% CI: 0.20, 0.60; P = 0.0002), (OR: 0.40; 95% CI: 0.18, 0.85; P = 0.02)]. Compared with patients without HF, CA in HFpEF patients exhibited lower rates of AAD-free AF elimination (OR: 0.48; 95% CI: 0.30, 0.75; P = 0.001). However, their rates of freedom from AF and total complications were similar [(OR: 0.70; 95% CI: 0.48, 1.02; P = 0.06), (OR: 0.60; 95% CI: 0.19, 1.90; P = 0.38)]. Conclusion: This meta-analysis conducted provided a comprehensive evaluation of the efficacy and safety of CA in patients with AF and HFpEF. The results suggest that CA may represent a valuable treatment strategy for patients with AF and HFpEF. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier (CRD42024514169).

VNN1 Gene Expression and Polymorphisms Associated with Chicken Carcass Traits.

This study aimed to investigate the association between hepatic VNN1 expression and carcass traits in Mahuang chickens as well as to identify polymorphisms in the upstream and downstream regions of VNN1 that could potentially be associated with these carcass traits. The study revealed that VNN1 expression levels in liver correlated with various carcass traits such as dressed weight, eviscerated weight, and abdominal fat weight. A total of 39 polymorphic sites were identified, among which 23 were found to be associated with 15 different carcass traits. These polymorphic sites were organized into three distinct haplotype blocks, with BLOCK2 and BLOCK3 being associated with various eviscerated weight percentages, thigh weight, breast muscle weight, wing weight, and other traits. The study underscores the significant role of VNN1 in influencing the carcass traits of Mahuang chickens and sheds light on the genetic foundations of these traits. The findings provide valuable insights that could inform breeding strategies aimed at optimizing traits relevant to market demands and slaughtering efficiency.

Antibacterial mechanism of metabolites of Lactobacillus plantarum against Pseudomonas lundensis and their application in dry-aged beef preservation.

In this study, the antibacterial mechanism of metabolites of Lactobacillus plantarum SCB2505 (MLp SCB2505) against Pseudomonas lundensis (P. lundensis) SCB2605 was investigated, along with evaluation of their preservative effects on dry-aged beef. The results demonstrated the effective inhibition of MLp SCB2505 on the growth and biofilm synthesis of P. lundensis. The treatment with MLp SCB2505 led to the compromised membrane integrity, as evidenced by reduced intracellular ATP content, increased extracellular AKPase, K+ and protein content, as well as disrupted cell morphology. Further metabolomics analysis revealed that MLp SCB2505 interfered amino acid metabolism, nucleotide metabolism, cofactor and vitamin metabolism, lipid metabolism and respiratory chain in P. lundensis, ultimately leading to the interrupted life activities and even death of the bacteria. Besides, MLp SCB2505 could effectively inhibit the growth of Pseudomonas in dry-aged beef and delay spoilage. These findings propose the potential application of MLp SCB2505 as an antibacterial agent in meat products.

Detection of atrial fibrillation using a nonlinear Lorenz Scattergram and deep learning in primary care.

BACKGROUND: Atrial fibrillation (AF) is highly correlated with heart failure, stroke and death. Screening increases AF detection and facilitates the early adoption of comprehensive intervention. Long-term wearable devices have become increasingly popular for AF screening in primary care. However, interpreting data obtained by long-term wearable ECG devices is a problem in primary care. To diagnose the disease quickly and accurately, we aimed to build AF episode detection model based on a nonlinear Lorenz scattergram (LS) and deep learning. METHODS: The MIT-BIH Normal Sinus Rhythm Database, MIT-BIH Arrhythmia Database and the Long-Term AF Database were extracted to construct the MIT-BIH Ambulatory Electrocardiograph (MIT-BIH AE) dataset. We converted the long-term ECG into a two-dimensional LSs. The LSs from MIT-BIH AE dataset was randomly divided into training and internal validation sets in a 9:1 ratio, which was used to develop and internally validated model. We built a MOBILE-SCREEN-AF (MS-AF) dataset from a single-lead wearable ECG device in primary care for external validation. Performance was quantified using a confusion matrix and standard classification metrics. RESULTS: During the evaluation of model performance based on the LS, the sensitivity, specificity and accuracy of the model in diagnosing AF were 0.992, 0.973, and 0.983 in the internal validation set respectively. In the external validation set, these metrics were 0.989, 0.956, and 0.967, respectively. Furthermore, when evaluating the model's performance based on ECG records in the MS-AF dataset, the sensitivity, specificity and accuracy of model diagnosis paroxysmal AF were 1.000, 0.870 and 0.876 respectively, and 0.927, 1.000 and 0.973 for the persistent AF. CONCLUSIONS: The model based on the nonlinear LS and deep learning has high accuracy, making it promising for AF screening in primary care. It has potential for generalization and practical application.

Evaluating the efficacy of percutaneous puncture biopsy guided by contrast-enhanced ultrasound for peripheral pulmonary lesions.

BACKGROUND: The incidence and mortality of lung cancer have increased annually. Accurate diagnosis can help improve therapeutic efficacy of interventions and prognosis. Percutaneous lung biopsy is a reliable method for the clinical diagnosis of lung cancer. Ultrasound-guided percutaneous lung biopsy technology has been widely promoted and applied in recent years. AIM: To investigate the diagnostic value of contrast-enhanced ultrasound (CEUS)-guided percutaneous biopsy in peripheral pulmonary lesions. METHODS: We retrospectively collected data on 237 patients with peripheral thoracic focal lesions who underwent puncture biopsy at Wuxi People's Hospital. The patients were randomly divided into two groups: The CEUS-guided before lesion puncture group (contrast group) and conventional ultrasound-guided group (control group). Analyze the diagnostic efficacy of the puncture biopsy, impact of tumor size, and number of puncture needles and complications were analyzed and compared between the two groups. RESULTS: Accurate pathological results were obtained for 92.83% (220/237) of peripheral lung lesions during the first biopsy, with an accuracy rate of 95.8% (113/118) in the contrast group and 89.9% (107/119) in the control group. The difference in the area under the curve (AUC) between the contrast and the control groups was not statistically significant (0.952 vs 0.902, respectively; P > 0.05). However, when the lesion diameter ≥ 5 cm, the diagnostic AUC of the contrast group was higher than that of the control group (0.952 vs 0.902, respectively; P < 0.05). In addition, the average number of puncture needles in the contrast group was lower than that in the control group (2.58 ± 0.53 vs 2.90 ± 0.56, respectively; P < 0.05). CONCLUSION: CEUS guidance can enhance the efficiency of puncture biopsy of peripheral pulmonary lesions, especially for lesions with a diameter ≥ 5 cm. Therefore, CEUS guidance has high clinical diagnostic value in puncture biopsy of peripheral focal lung lesions.

METTL1-modulated LSM14A facilitates proliferation and migration in glioblastoma via the stabilization of DDX5.

Glioblastoma (GBM) is characterized by aggressive growth, invasiveness, and poor prognosis. Elucidating the molecular mechanisms underlying GBM is crucial. This study explores the role of Sm-like protein 14 homolog A (LSM14A) in GBM. Bioinformatics and clinical tissue samples analysis demonstrated that overexpression of LSM14A in GBM correlates with poorer prognosis. CCK8, EdU, colony formation, and transwell assays revealed that LSM14A promotes proliferation, migration, and invasion in GBM in vitro. In vivo mouse xenograft models confirmed the results of the in vitro experiments. The mechanism of LSM14A modulating GBM cell proliferation was investigated using mass spectrometry, co-immunoprecipitation (coIP), protein half-life, and methylated RNA immunoprecipitation (MeRIP) analyses. The findings indicate that during the G1/S phase, LSM14A stabilizes DDX5 in the cytoplasm, regulating CDK4 and P21 levels. Furthermore, METTL1 modulates LSM14A expression via mRNA m7G methylation. Altogether, our work highlights the METTL1-LSM14A-DDX5 pathway as a potential therapeutic target in GBM.

From Wilson's Disease to Neurodevelopmental Disorder with Involuntary Movements, Different Genetic Interpretations in a Female Patient.

BACKGROUND: A 19-year-old female patient presented at 2 years of age with dysarthria, incoherent speech, and unsteady ambulation. She is prone to leaning backward when walking and has involuntary movements of the whole body. Besides, she has poor numeracy skills. She has been diagnosed with Wilson's disease (WD) in China and Japan. OBJECTIVE: The objective of this study was to further clarify the diagnosis of this patient. METHODS: The patient and her parents were detected with whole-exome sequencing. RESULTS: Based on the genetic test results, genetic analyses, and clinical manifestations, a diagnosis of WD in this patient was ruled out. The patient was eventually diagnosed with neurodevelopmental disorder with involuntary movements. CONCLUSIONS: This study reinterprets the genetic test results of a young female patient and leads to reflections on the genetic diagnostic criteria for WD: the Leipzig score is suitable for the diagnosis of most WD patients, and the genetic testing section of the score is of great diagnostic value. However, in some special cases, the proband and their first-degree relatives should further complete cosegregation analysis to determine the origin of the lesion gene and to verify the reliability of the genetic test. In addition, this study suggests that further improving the scoring rules of the gene testing part of the Leipzig scoring system may be more helpful in achieving an accurate diagnosis of WD. © 2024 International Parkinson and Movement Disorder Society.

Characterization of renal damage in Wilson's disease-Detailed analysis of 20 Chinese cases.

OBJECTIVE: Copper metabolism disorder disease is thought to contribute to renal symptoms in Wilson's disease (WD). Nonetheless, there remains limited knowledge regarding the precise characteristics of renal damage in individuals with Wilson's disease, encompassing clinical presentations, biochemical indicators, imaging findings, and renal histopathological alterations. METHODS: In this study, 20 patients diagnosed with Wilson's disease and renal involvement were enrolled in our hospital. These patients met the validated European criteria for Wilson's disease, and those with primary kidney disease or secondary renal damage caused by other underlying conditions were excluded. The baseline data of patients were collected. Various biochemical and hematological parameters were monitored. Biochemical examinations were measured using an automatic biochemistry analyzer, blood routines were tested by flow cytometry analysis, 24-h urine copper was tested by atomic absorption spectrophotometer. Besides, CER was measured by turbidimetric immunoassay with a Hitachi 7020 automatic biochemical analyzer (the intraplate and interplate coefficients of variation were 2.7% and 5.13% respectively). Copper oxidase was tested by colorimetric method using p-phenylenediamine hydrochloride (the intraplate and interplate coefficients of variation were both <10%). Diagnostic criteria for Wilson's disease and kidney damage were established based on the European Association for the Study of the Liver (EASL) and CKD Epidemiology Collaboration guidelines, respectively. Statistical analysis was carried out using t-tests and χ2 tests in SPSS 22.0 software. Significant differences were considered when P<0.05. RESULTS: In those patients with Wilson's disease-related renal damage, edema, gross hematuria, oliguria, and lumbar pain were present in most patients. Microscopic haematuria and proteinuria were also observed in 19 patients. Compared to patients without renal involvement, those with renal complications exhibited a significant increase in white blood cell (WBC) and neutrophil counts (P<0.05). Additionally, patients with renal damage showed a noteworthy rise in both diastolic and systolic blood pressure, along with a significant reduction in hemoglobin levels (P<0.05). Color Doppler ultrasound results revealed diffuse lesions in both kidneys in 12 patients, renal cysts were identified in 5 patients, and 2 patients exhibited abnormal renal blood flow signals. Meanwhile, varying degrees of IgA, IgM, IgG-based immunoglobulins, complement C3 and C1q deposition in the glomerular mesangial area were detected by immunofluorescence. Furthermore, renal puncture biopsy results revealed a spectrum of findings, including minimal change nephrosis in 1 case, IgA nephropathy in 3 cases, atypical membranous proliferative nephropathy in 2 cases, and focal segmental glomerulosclerosis in 1 case. CONCLUSION: This study comprehensively elucidates the distinct attributes of renal damage related to Wilson's disease, while also speculating that renal dysfunction in Wilson's disease could be linked to immune complex deposition. Depending on the underlying pathogenesis, kidney injury associated with Wilson's disease can be classified as primary or secondary. To slow down the progression of renal impairment, it is essential to undergo a renal biopsy pathological examination as early as possible to clarify the type of impairment and take the appropriate treatment.

Alleviation of lipid metabolic dysfunction through regulation of intestinal bacteriophages and bacteria by green tea polyphenols in Ob/Ob mice.

Green tea polyphenols (GTP) have been shown to ameliorate lipid metabolic disorders by regulating intestinal bacteria. Given the significant role of intestinal bacteriophages in shaping the gut microbiota, this study investigates GTP's influence on gut bacteriophage-bacteria interactions and lipid metabolism using metagenomics and metabonomics. The research results indicated that GTP significantly reduced body weight, serum triglycerides, leptin, insulin resistance, interleukin-6, and TNF-α levels while increasing adiponectin in ob/ob mice fed high-fat diet, aiding intestinal repair. GTP improved gut health by decreasing Enterobacter, Siphoviridae and Enterobacteria_phage_sfv, increasing Bifidobacterium and intestinal metabolites SCFA and hippuric acid. Correlation analysis showed negative correlations between Enterobacter sp. 50,588,862 and Enterobacteria_phages, Shigella_phages with 4-hydroxyphenylpyruvate and hippuric acid. Bifidobacterium choerinum and Bifidobacterium sp. AGR2158 were positively correlated with fatty acids and bile acids. In conclusion, GTP reduced fat accumulation and inflammation, enhanced gut barrier function in obese mice, closely associated with changes in the gut bacteriophage community.

Numerical Analysis and Quantification of Transfer Efficiency Coupled with Capillary and Quadrupole Ion Guide in an API-MS System.

Ion trajectory simulation is a significant and useful tool for understanding ion transfer mechanisms within the first vacuum region of the atmospheric pressure ionization mass spectrometer (API-MS). However, the complex dynamic gas field and wide pressure range lead to inaccurate simulation and huge computational costs. In this work, a novel electrohydrodynamic simulation called the statistical diffusion-hard-sphere (SDHS) mixed collision model was developed for characterizing the ion trajectories. For the first time, the influence of the dynamic pressure on the ion trajectory is considered for simulation, which helps to avoid an intolerable computational cost. Comparing with the conventional Monte Carlo collision model, the SDHS method helps to improve the calculation accuracy of ion trajectories under the first vacuum region and reduce the computational cost for at least 12-folds. Simulation results showed that the maximum ion loss came from the gap of the electrodes. The distance of the capillary-quadrupole ion guide was also a non-negligible factor. The trend of quantitative experimental results matches the SDHS simulation results. The maximum ion transfer efficiencies of quantitative experiment and simulation were 55% and 52%, respectively. Moreover, three ions, caffeine, reserpine, and Ultramark 1621, were measured for evaluating the applicability of SDHS in real API-MS. The trend of experimental results showed good agreement with that of computation. And the results of caffeine further illustrated the reason that the small mass ion transfer efficiency decreased with increasing radio frequency voltage. SDHS method is expected to be useful in the design of ion guides for further improvement of the sensitivity of API-MS.

Risk Factors and Clinical Outcomes of Renal Thrombotic Microangiopathy in Children with Lupus Nephritis in Terms of Pathological and Clinical Features.

BACKGROUND: Thrombotic microangiopathy (TMA) is an important risk factor for the prognosis of lupus nephritis (LN). Patients with LN complicated with TMA tend to be critically ill with high mortality and poor prognosis. In the present study, we retrospectively analyzed the clinical manifestations, laboratory results, renal pathological manifestations, and prognosis of children with LN-TMA and analyzed the risk factors for end-stage renal disease (ESRD) in children with LN-TMA. METHODS: Seventy-four patients with LN and renal TMA (rTMA) were selected and compared to 128 LN controls without TMA (1:2 ratio) matched according to demographics, pathological type and treatments. RESULTS: The mean values of systolic blood pressure, diastolic blood pressure (DBP), lactate dehydrogenase (LDH), blood urea nitrogen (BUN), urinary protein quantitation (PRO), urine red blood cells, N-acetyl-ß-D-glucosidase (NAG), retinol-binding protein, systemic lupus erythematosus disease activity score (SLEDAI), and activity index (AI) scores in the TMA group were all higher than those in the non-TMA group (p < 0.05 and p < 0.01). The mean values of complement C3, hemoglobin, platelets, estimated glomerular filtration rate, and chronic index (CI) score in the TMA group were all lower than those in the non-TMA group (p < 0.05 and p < 0.01). The number of cases of glomerular crescent, fibrous crescent, endocapillary proliferation, tubular atrophy, interstitial fibrosis, C3 and C1q deposition in the TMA group was higher than that in the non-TMA group (p < 0.05 and p < 0.01). The 3-year and 5-year renal survival rates in the TMA group (88.93% vs. 97.00%, p < 0.05) and TMA group (61.41% vs. 82.31%, p < 0.05) were significantly lower than those in the non-TMA group. Multivariate Cox regression analysis showed that serum creatinine before treatment (≥110 µmol/L), TMA and interstitial fibrosis were independent risk factors for the development of ESRD in LN children. CONCLUSION: The general condition of children with TMA is critical, and the prognosis is poor. Early detection, early treatment and the development of new treatments are key to improving LN-TMA outcomes in children.

A retrospective study of uropathogen and its antibiotic resistance among children with urinary tract infection from a single center in China.

Urinary tract infection (UTI) is a well-known bacterial infection posing serious health problem in children. A retrospective study was conducted to explore the uropathogen and its antibiotic resistance in children with UTI. Data of urine culture and antimicrobial susceptibility test was collected. Consequently, 840 children were included. The overall culture-positive UTI was 458 (54.52 %) with Escherichia coli 166 (36.24 %), followed by Enterococcus faecalis 59 (12.88 %), Enterococcus faecium 70 (15.28 %) and others. They were highly resistant to the most commonly used antibiotics. In 694 children with complicated UTI, there were 8 children with fungal infection. Multiple drug resistance (MDR) was recorded in 315 (80.98 %). The overall proportion of Extended Spectrum ß-Lactamase (ESßL) production was 25 (6.43 %). In 146 children with simple UTI, MDR were also detected in 47 (77.05 %). There were 6 (9.84 %) positive for ESßL production. Our study found that complicated UTI was relatively common. Escherichia coli was the most prevalent isolate, followed by Enterococcus faecium and Enterococcus faecalis. These organisms were highly resistant to the most commonly used antibiotics. Relatively high prevalence of MDR and low ESßL-producing organisms were observed.

Muscone abrogates breast cancer progression through tumor angiogenic suppression via VEGF/PI3K/Akt/MAPK signaling pathways.

BACKGROUND: Angiogenesis strongly reflects poor breast cancer outcome and an important contributor to breast cancer (BC) metastasis; therefore, anti-angiogenic intervention is a potential tool for cancer treatment. However, currently used antibodies against vascular endothelial growth factor A (VEGFA) or inhibitors that target the VEGFA receptor are not effective due to weak penetration and low efficiency. Herein, we assessed the anti-BC angiogenic role of muscone, a natural bioactive musk constituent, and explored possible anti-cancer mechanisms of this compound. METHODS: CCK-8, EdU, scratch and Transwell assessments were employed to detect the muscone-mediated regulation of breast cancer (BC) and human umbilical vein endothelial cells (HUVECs) proliferation and migration. Tube formation, matrigel plug assay and zebrafish assay were employed for assessment of regulation of tumor angiogenesis by muscone. In vivo xenograft mouse model was constructed to compare microvessel density (MVD), vascular leakage, vascular maturation and function in muscone-treated or untreated mice. RNA sequencing was performed for gene screening, and Western blot verified the effect of the VEGFA-VEGFR2 pathway on BC angiogenic inhibition by muscone. RESULTS: Based on our findings, muscone suppressed BC progression via tumor angiogenic inhibition in cellular and animal models. Functionally, muscone inhibited BC cell proliferation and migration as well as tumor cell-conditioned medium-based endothelial cell proliferation and migration. Muscone exhibited a strong suppressive influence on tumor vasculature in cellular and animal models. It abrogated tumor cell growth in a xenograft BC mouse model and minimized tumor microvessel density and hypoxia, and increased vascular wall cell coverage and perfusion. Regarding the mechanism of action, we found that muscone suppressed phosphorylation of members of the VEGF/PI3K/Akt/MAPK axis, and it worked synergistically with a VEGFR2 inhibitor, an Akt inhibitor, and a MAPK inhibitor to further inhibit tube formation. CONCLUSION: Overall, our results demonstrate that muscone may proficiently suppress tumor angiogenesis via modulation of the VEGF/PI3K/Akt/MAPK axis, facilitating its candidacy as a natural small molecule drug for BC treatment.

Enzyme-activatable charge transfer in gold nanoclusters.

Surface-protecting ligands, as a major component of metal nanoclusters (MNCs), can dominate molecular characteristics, performance behaviors, and biological properties of MNCs, which brings diversity and flexibility to the nanoclusters and largely promotes their applications in optics, electricity, magnetism, catalysis, biology, and other fields. We report herein the design of a new kind of water-soluble luminescent gold nanoclusters (AuNCs) for enzyme-activatable charge transfer (CT) based on the ligand engineering of AuNCs with 6-mercaptopurine ribonucleoside (MPR). This elaborately designed cluster, Au5(MPR)2, can form a stable intramolecular CT state after light excitation, and exhibits long-lived color-tunable phosphorescence. After the cleavage by purine nucleoside phosphorylase (PNP), the CT triplet state can be easily directed to a low-lying energy level, leading to a bathochromic shift of the emission band accompanied by weaker and shorter-lived luminescence. Remarkably, these ligand-engineered AuNCs show high affinity towards PNP as well as decent performance for analyzing and visualizing enzyme activity and related drugs. The work of this paper provides a good example for diversifying physicochemical properties and application scenarios of MNCs by rational ligand engineering, which will facilitate future interest and new strategies to precisely engineer solution-based nanocluster materials.

Effect of volatile versus propofol anaesthesia on major complications and mortality after cardiac surgery: a multicentre randomised trial.

BACKGROUND: The comparative effectiveness of volatile anaesthesia and total intravenous anaesthesia (TIVA) in terms of patient outcomes after cardiac surgery remains a topic of debate. METHODS: Multicentre randomised trial in 16 tertiary hospitals in China. Adult patients undergoing elective cardiac surgery were randomised in a 1:1 ratio to receive volatile anaesthesia (sevoflurane or desflurane) or propofol-based TIVA. The primary outcome was a composite of predefined major complications during hospitalisation and mortality 30 days after surgery. RESULTS: Of the 3123 randomised patients, 3083 (98.7%; mean age 55 yr; 1419 [46.0%] women) were included in the modified intention-to-treat analysis. The composite primary outcome was met by a similar number of patients in both groups (volatile group: 517 of 1531 (33.8%) patients vs TIVA group: 515 of 1552 (33.2%) patients; relative risk 1.02 [0.92-1.12]; P=0.76; adjusted odds ratio 1.05 [0.90-1.22]; P=0.57). Secondary outcomes including 6-month and 1-yr mortality, duration of mechanical ventilation, length of ICU and hospital stay, and healthcare costs, were also similar for the two groups. CONCLUSIONS: Among adults undergoing cardiac surgery, we found no difference in the clinical effectiveness of volatile anaesthesia and propofol-based TIVA. CLINICAL TRIAL REGISTRATION: Chinese Clinical Trial Registry (ChiCTR-IOR-17013578).

External validation of predictive models for new vertebral fractures following percutaneous vertebroplasty.

OBJECTIVE: To investigate the external validation and scalability of four predictive models regarding new vertebral fractures following percutaneous vertebroplasty. METHODS: Utilizing retrospective data acquired from two centers, compute the area under the curve (AUC), calibration curve, and Kaplan-Meier plot to assess the model's discrimination and calibration. RESULTS: In the external validation of Zhong et al.'s 2015 predictive model for the probability of new fractures post-vertebroplasty, the AUC for re-fracture at 1, 2, and 3 years postoperatively was 0.570, 0.617, and 0.664, respectively. The AUC for Zhong et al.'s 2016 predictive model for the probability of new fractures in neighboring vertebrae was 0.738. Kaplan-Meier plot results for both models indicated a significantly lower incidence of re-fracture in low-risk patients compared to high-risk patients. Li et al.'s 2021 model had an AUC of 0.518, and its calibration curve suggested an overestimation of the probability of new fractures. Li et al.'s 2022 model had an AUC of 0.556, and its calibration curve suggested an underestimation of the probability of new fractures. CONCLUSION: The external validation of four models demonstrated that the predictive model proposed by Zhong et al. in 2016 exhibited superior external generalization capabilities.

SEAOP: a statistical ensemble approach for outlier detection in quantitative proteomics data.

Quality control in quantitative proteomics is a persistent challenge, particularly in identifying and managing outliers. Unsupervised learning models, which rely on data structure rather than predefined labels, offer potential solutions. However, without clear labels, their effectiveness might be compromised. Single models are susceptible to the randomness of parameters and initialization, which can result in a high rate of false positives. Ensemble models, on the other hand, have shown capabilities in effectively mitigating the impacts of such randomness and assisting in accurately detecting true outliers. Therefore, we introduced SEAOP, a Python toolbox that utilizes an ensemble mechanism by integrating multi-round data management and a statistics-based decision pipeline with multiple models. Specifically, SEAOP uses multi-round resampling to create diverse sub-data spaces and employs outlier detection methods to identify candidate outliers in each space. Candidates are then aggregated as confirmed outliers via a chi-square test, adhering to a 95% confidence level, to ensure the precision of the unsupervised approaches. Additionally, SEAOP introduces a visualization strategy, specifically designed to intuitively and effectively display the distribution of both outlier and non-outlier samples. Optimal hyperparameter models of SEAOP for outlier detection were identified by using a gradient-simulated standard dataset and Mann-Kendall trend test. The performance of the SEAOP toolbox was evaluated using three experimental datasets, confirming its reliability and accuracy in handling quantitative proteomics.

Microstructure Evolution, Hot Deformation Behavior and Processing Maps of an FeCrAl Alloy.

The deteriorated plasticity arising from the insoluble precipitates may lead to cracks during the rolling of FeCrAl alloys. The microstructure evolution and hot deformation behavior of an FeCrAl alloy were investigated in the temperature range of 750-1200 °C and strain rate range of 0.01-10 s-1. The flow stress of the FeCrAl alloy decreased with an increasing deformation temperature and decreased strain rate during hot working. The thermal deformation activation energy was determined to be 329.49 kJ/mol based on the compression test. Then, the optimal hot working range was given based on the established hot processing maps. The hot processing map revealed four small instability zones. The optimal working range for the material was identified as follows: at a true strain of 0.69, the deformation temperature should be 1050-1200 °C, and the strain rate should be 0.01-0.4 s-1. The observation of key samples of thermally simulated compression showed that discontinuous dynamic recrystallization started to occur with the temperate above 1000 °C, leading to bended grain boundaries. When the temperature was increased to 1150 °C, the dynamic recrystallization resulted in a microstructure composed of fine and equiaxed grains.

PRMT6-mediated transcriptional activation of ythdf2 promotes glioblastoma migration, invasion, and emt via the wnt-ß-catenin pathway.

BACKGROUND: Protein arginine methyltransferase 6 (PRMT6) plays a crucial role in various pathophysiological processes and diseases. Glioblastoma (GBM; WHO Grade 4 glioma) is the most common and lethal primary brain tumor in adults, with a prognosis that is extremely poor, despite being less common than other systemic malignancies. Our current research finds PRMT6 upregulated in GBM, enhancing tumor malignancy. Yet, the specifics of PRMT6's regulatory processes and potential molecular mechanisms in GBM remain largely unexplored. METHODS: PRMT6's expression and prognostic significance in GBM were assessed using glioma public databases, immunohistochemistry (IHC), and immunoblotting. Scratch and Transwell assays examined GBM cell migration and invasion. Immunoblotting evaluated the expression of epithelial-mesenchymal transition (EMT) and Wnt-ß-catenin pathway-related proteins. Dual-luciferase reporter assays and ChIP-qPCR assessed the regulatory relationship between PRMT6 and YTHDF2. An in situ tumor model in nude mice evaluated in vivo conditions. RESULTS: Bioinformatics analysis indicates high expression of PRMT6 and YTHDF2 in GBM, correlating with poor prognosis. Functional experiments show PRMT6 and YTHDF2 promote GBM migration, invasion, and EMT. Mechanistic experiments reveal PRMT6 and CDK9 co-regulate YTHDF2 expression. YTHDF2 binds and promotes the degradation of negative regulators APC and GSK3ß mRNA of the Wnt-ß-catenin pathway, activating it and consequently enhancing GBM malignancy. CONCLUSIONS: Our results demonstrate the PRMT6-YTHDF2-Wnt-ß-Catenin axis promotes GBM migration, invasion, and EMT in vitro and in vivo, potentially serving as a therapeutic target for GBM.