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A retrospective cohort study of the application of Santulli enterostomy in neonatal necrotizing enterocolitis
Abstract The use of Santulli enterostomy (SE) for necrotizing enterocolitis (NEC) has been limited to a small number of studies involving a small number of patients and no control group. Our study aimed to compare the clinical safety and efficacy of Santulli enterostomy with those of single- or double-lumen enterostomy for neonatal NEC through a retrospective cohort study. One hundred ten patients who met the criteria were divided into an SE group (64 patients) and a conventional enterostomy (CE) group (46 patients). The CE group underwent single- or double-lumen enterostomy. There were no significant differences in complication rates or prognoses between the two groups after either procedure. Although the stoma was positioned higher in the SE group, the length of the unused small intestine (USI) was not significantly different. Multivariate analysis revealed that the length of the USI influenced the likelihood of malnutrition after enterostomy (OR = 1.108, P = 0.008). After stoma closure, compared with those in the CE group, the operation time, intestinal recovery time, fasting time, hospitalization time, intraoperative blood loss volume and the incidence of complications requiring surgical reintervention was significantly lower in the SE group. In conclusion, Santulli enterostomy is not only a safe treatment option for NEC but also an effective method for increasing the length of the small intestine after enterostomy, thereby improving the patient’s postoperative nutritional status. In addition, the procedure is associated with good recovery and a reduced incidence of surgical reintervention after stoma closure.
Relationship between VEGF to PEDF ratio and in-hospital mortality in acute respiratory distress syndrome patients
Does education increase ethical sensitivity a semi-experimental study
Socioeconomic status correlates with COVID-19 vaccination coverage among primary and secondary students in the most populated city of Chile
Research on health monitoring of concrete structure based on G-S-G
The trans-european catchment area of common noctule bats killed by wind turbines in France
Abstract Wind turbines used to combat climate change pose a green-green dilemma when endangered and protected wildlife species are killed by collisions with rotating blades. Here , we investigated the geographic origin of bats killed by wind turbines along an east-west transect in France to determine the spatial extent of this conflict in Western Europe. We analysed stable hydrogen isotopes in the fur keratin of 60 common noctule bats ( Nyctalus noctula ) killed by wind turbines during summer migration in four regions of France to predict their geographic origin using models based on precipitation isoscapes. We first separated migratory from regional individuals based on fur isotope ratios of local bats. Across all regions , 71.7% of common noctules killed by turbines were of regional and 28.3% of distant origin , the latter being predominantly females from northeastern Europe. We observed a higher proportion of migratory individuals from western sites compared to eastern sites. Our study suggests that wind-turbine-related losses of common noctule bats may impact distant breeding populations across whole Europe , confirming that migratory bats are highly vulnerable to wind turbines and that effective conservation measures , such as temporary curtailment of turbine operation , should be mandatory to protect them from colliding with the rotating blades of wind turbines.
Integrative bioinformatics and immunohistochemical analysis unravel the prognostic significance and immunological implication of LIMCH1 in breast cancer: a retrospective study
The influence of repeated frowning and smiling on corrugator muscle activity and wrinkles between eyebrows
Using the appropriate modulus of elasticity of periodontal ligament matters in stress analysis of human first premolar tooth and periodontium structures
A real-world drug safety surveillance study from the FAERS database of hepatocellular carcinoma patients receiving pembrolizumab alone and plus lenvatinib
Automatic parking trajectory planning in narrow spaces based on Hybrid A* and NMPC
Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia
EGFR-targeting RNase A-cetuximab antibody-drug conjugate induces ROS-mediated apoptosis to overcome drug resistance in KRAS mutant cancer cells
IgE-based analysis of sensitization and cross-reactivity to yellow mealworm and edible insect allergens before their widespread dietary introduction
Characterizing phenotype variants of Cercosporidium personatum, causal agent of peanut late leaf spot disease, their morphology, genetics and metabolites
Abstract Cercosporidium personatum (CP) causes peanut late leaf spot (LLS) disease with 70% yield losses unless controlled by fungicides. CP grows slowly in culture, exhibiting variable phenotypes. To explain those variations, we analyzed the morphology, genomes, transcriptomes and chemical composition of three morphotypes, herein called RED, TAN, and BROWN. We characterized, for the first time in CP, anthraquinone (AQ) precursors of dothistromin (DOT), including averantin, averufin, norsolorinic acid, versicolorin B, versicolorin A, nidurufin and averufanin. BROWN had the highest AQ and melanin (15 mg/g DW) contents. RED had the highest ergosterol (855 µM FW) and chitin (beta-glucans, 4% DW) contents. RED and TAN had higher resistance to xenobiotics (p ≤ 1.0E-3), including chlorothalonil, tebuconazole and caffeine, compared to CP NRRL 64463. In RED, TAN, and BROWN, rates of single nucleotide polymorphisms (SNP) (1.4–1.7 nt/kb) and amino acid changes (3k-4k) were higher than in NRRL 64463. Differential gene expression (p ≤ 1.0E-5) was observed in 47 pathogenicity/virulence genes, 41 carbohydrate-active enzymes (CAZymes), and 23 pigment/mycotoxin biosynthesis genes. We describe the MAT1 locus, and a method to evaluate CP-xenobiotic resistance in 5 days. Chemical profiles indicate each CP morphotype could trigger different immune response in plants, probably hindering development of durable LLS resistance.
Inhibition of skin fibrosis via regulation of Th17/Treg imbalance in systemic sclerosis
Abstract Systemic sclerosis (SSc) is an idiopathic systemic connective tissue disorder characterized by fibrosis of the skin and internal organs, with growing interest in the imbalance between Th17 cells and regulatory T cells (Tregs) in the disease’s pathogenesis. Heligmosomoides polygyrus (Hp), a natural intestinal parasite of mice, is known to induce Tregs in the host. We aimed to investigate the effects of Hp-induced Tregs on bleomycin-induced dermal fibrosis and clarify the role of the Th17/Treg balance in SSc fibrosis. Infection with Hp suppressed the development of bleomycin-induced dermal fibrosis and the infiltration of CD3 + T cells and CD68 + macrophages. Flow cytometric analysis revealed that Hp infection increased Tregs and inhibited the induction of bleomycin-induced Th17 cells. Treg depletion nullified these effects, suggesting that Hp-induced Tregs may prevent bleomycin-induced dermal fibrosis and inflammation. Analysis of the intestinal microbiota showed that bacteria positively correlated with Tregs exhibited a negative correlation with Th17 cells and dermal fibrosis in mice. SSc patients with severe fibrosis displayed a distinct microbiota profile. These results suggest that alterations in the intestinal microbiota may contribute to the Th17/Treg imbalance in SSc and its progression. Enhancing Tregs to regulate the Th17/Treg imbalance may present a promising strategy for suppressing fibrosis in SSc.
Influence of ABCB1 polymorphisms on aripiprazole and dehydroaripiprazole plasma concentrations
AbstractAripiprazole (ARI) is an atypical antipsychotic which is a substrate of P-glycoprotein (P-gp), a transmembrane glycoprotein that plays a crucial role in eliminating potentially harmful compounds from the organism. ARI once-monthly (AOM) is a long-acting injectable form which improves treatment compliance. Genetic polymorphisms in ABCB1 may lead to changes in P-gp function, leading to individual differences in drug disposition. The present study aims to determine how the different variants of the three most prevalent SNPs of the ABCB1 gene affect plasma concentrations of ARI, of its active metabolite dehydroaripiprazole (DHA) and ARI/DHA ratio in patients under AOM treatment. The metabolizing state of the two main aripiprazole metabolizing enzymes (CYP2D6 and CYP3A4) were considered to specifically study the effect of P-gp on plasma concentrations of the parent compound and its active metabolite. The study found a clear relationship between the genotypes found for the different ABCB1 SNPs and the ARI/DHA ratio. Specifically, patients with GG genotype in G2677T have almost twice the ratio compared to TT genotype. Similarly, this increase is also found in C3435T with 1.4-fold and in C1236T with 1.6-fold for the same genotypes. Regarding haplotypes, significant differences were obtained between CC-GG-CC and TT-TT-TT patients, with an 87.9% higher ratio in patients with the CC-GG-CC haplotype. There was a clear trend towards lower ARI concentrations and higher DHA concentrations when the presence of mutated T alleles increases. The ABCB1 gene could be a good partner along with CYP2D6 and CYP3A4 genotyping in conjunction with monitoring ARI plasma concentrations.
Data-driven prediction of chemically relevant compositions in multi-component systems using tensor embeddings
AbstractThe discovery of novel materials is crucial for developing new functional materials. This study introduces a predictive model designed to forecast complex multi-component oxide compositions, leveraging data derived from simpler pseudo-binary systems. By applying tensor decomposition and machine learning techniques, we transformed pseudo-binary oxide compositions from the Inorganic Crystal Structure Database (ICSD) into tensor representations, capturing key chemical trends such as oxidation states and periodic positions. Tucker decomposition was utilized to extract tensor embeddings, which were used to train a Random Forest classifier. The model successfully predicted the existence probabilities of pseudo-ternary and quaternary oxides, with 84% and 52% of ICSD-registered compositions, respectively, achieving high scores. Our approach highlights the potential of leveraging simpler oxide data to predict more complex compositions, suggesting broader applicability to other material systems such as sulfides and nitrides.