347 research outputs found
Bezlotoxumab for prevention of recurrent Clostridium difficile infection in patients at increased risk for recurrence
Background: Bezlotoxumab is a human monoclonal antibody against Clostridium difficile toxin B indicated to prevent C. difficile infection (CDI) recurrence (rCDI) in adults at high risk for rCDI. This post hoc analysis of pooled monocolonal antibodies for C.difficile therapy (MODIFY) I/II data assessed bezlotoxumab efficacy in participants with characteristics associated with increased risk for rCDI.
Methods: The analysis population was the modified intent-to-treat population who received bezlotoxumab or placebo (n = 1554) by risk factors for rCDI that were prespecified in the statistical analysis plan: age ≥65 years, history of CDI, compromised immunity, severe CDI, and ribotype 027/078/244. The proportion of participants with rCDI in 12 weeks, fecal microbiota transplant procedures, 30-day all cause and CDI-associated hospital readmissions, and mortality at 30 and 90 days after randomization were presented.
Results: The majority of enrolled participants (75.6%) had ≥1 risk factor; these participants were older and a higher proportion had comorbidities compared with participants with no risk factors. The proportion of placebo participants who experienced rCDI exceeded 30% for each risk factor compared with 20.9% among those without a risk factor, and the rCDI rate increased with the number of risk factors (1 risk factor: 31.3%; ≥3 risk factors: 46.1%). Bezlotoxumab reduced rCDI, fecal microbiota transplants, and CDI-associated 30-day readmissions in participants with risk factors for rCDI.
Conclusions: The risk factors prespecified in the MODIFY statistical analysis plan are appropriate to identify patients at high risk for rCDI. While participants with ≥3 risk factors had the greatest reduction of rCDI with bezlotoxumab, those with 1 or 2 risk factors may also benefit.
Clinical Trials Registration: NCT01241552 (MODIFY I) and NCT01513239 (MODIFY II)
A Comprehensive Review: COVID-19 And Post-Covid Versus Thromboembolism
In spite of the fact that COVID-19 was previously predominantly believed to be a respiratory ailment, rapidly increasing data point to a significant prevalence of venous thromboembolic consequences in the disease. This review article's main goal was to determine if there was a requirement to raise knowledge of PE (Pulmonary Embolism) in the aftermath of the COVID-19 outbreak given the still-weak epidemiologic data. The gathered studies were subjected to a critical evaluation and literature search. A digital search of Science Direct, Google Scholar, PubMed, and Scopus until June 2022. COVID-19’s lasting effects on health are yet mostly unknown. The pathophysiology of pulmonary embolism is highlighted in this review, along with the significance of being aware of the possible ways that enhanced the risk of VTE (Venous Thromboembolism) in patients suffering from post- COVID-19, including those who have a moderate or asymptomatic illness. To define suitable clinical care recommendations for the avoidance of thromboembolic consequences in the critically sick and post-COVID-19 phase, further study is necessary.
 
Etravirine induced severe hypersensitivity reaction and fulminant hepatitis: A case report and review of the literature.
We report the first published case of etravirine induced hypersensitivity reaction leading to fulminant hepatic failure in a 49-year-old female patient with Human Immunodefi ciency Virus. She presented with a life threatening rash and end stage organ damage requiring intensive care unit supportive care. Liver biopsy supported the diagnosis of drug-induced hypersensitivity. The patient recovered after withdrawal of etravirine and the use of systemic corticosteroids. The authors describe etravirine drug hypersensitivity as a clinically important reaction and that early recognition can improve survival
Silica functionalized sulfonic acid catalyzed one-pot synthesis of 4,5,8a-triarylhex-ahydropyrimido[4,5-d]pyrimidine-2,7(1H,3 H)-diones under liquid phase catalysis
SiO2-SO3H catalyzed one-pot synthesis of 4,5,8a-triarylhexahydropyrimido[4,5-d]pyrimidine-2,7(1H,3 H)-diones (4a-k) is reported under liquid phase catalysis. The catalyst is easily prepared, highly stable, very simple to handle and recycled for five times without loss of significant activity
Impacts of phosphorous and zinc under different nutrient management strategies on the performance of berseem (Trifolium alexandrinum) diploid varieties: A comparative yield and economic analysis
Identifying a high-yielding and economically advantageous berseem variety, along with optimal nutrient management strategies, is crucial for maximizing fodder and forage crops productivity and profitability. To accomplish these objectives, a field experiment was carried out in a split-plot design during the rabi season of 2022-2023. The main plot accommodated two different berseem varieties (BL-42 and Mescavi). The subplot consisted of nine different nutrient combinations: Control, 100% recommended dose of phosphorus (RDP), 100% recommended dose of zinc (RDZn), 100% RDP + one Nano spray (P), 75% RDP + two Nano spray (P,) 50% RDP + three Nano spray (P), 100% RDZn + zinc solubilizing bacteria (ZnSB), 75% RDZn + ZnSB, and 50% RDZn + ZnSB. The study assessed the effects of phosphorus and zinc nutrient management on the physiological and morphological responses, yield attributes, and economic attributes of various berseem cultivars. The results revealed that the Mescavi variety outperformed the BL-42 variety regarding physiological growth and biomass yield. The Mescavi exhibited an 18% increase in green fodder output and a 24% increase in dry matter yield compared to the BL-42 variety. In addition, applying 100% RDP+ one Nano spray (P) resulted in a substantial increase of 144% in green fodder production and 330% in dry matter yield compared to the control treatment. Mescavi yielded a gross return of 32793 ? ha-1 and a net return of 19985 ? ha-1 compared to the BL-42 variety, with a gross and net return of 27635 ? ha-1 and 14827 ? ha-1, respectively. The treatment comprising of 100% RDP + one Nano spray (P) resulted in the highest gross and net return (37866.67 and 23666.67 ? ha-1, respectively) as compared to the control treatment (15512.44 and 4296.94 ? ha-1, respectively). The notable differences in output and returns confirmed the effectiveness of specific agronomic approaches in enhancing the profitability and sustainability of fodder farming
Financial Risk Prediction for Agricultural Enterprises Using Intelligent Modeling and Dynamic State Analysis
Agricultural enterprises have financial uncertainties due to market volatility, climate disruptions, and changes in policies; therefore, farming operations must use timely and accurate forecasts, as they are particularly vulnerable to external economic shocks and environmental variability. Standard forecasting methods usually cannot capture nonlinear dependencies and dynamic shifts in risk profiles; therefore, there is a need to consider intelligent, adaptive systems. Research proposes a novel financial risk prediction model using the Sooty Tern Optimization Algorithm Attention-Based Long Short-Term Memory (STOA-Att-LSTM). Financial risk data were collected, which included agricultural enterprise financial records, national weather databases, and commodity market indices. To ensure data integrity and modelling efficiency, two essential pre-processing techniques were employed. Handling missing values was performed using linear interpolation to reconstruct incomplete sequences, particularly in time-series financial and climatic data, to standardize variables, facilitating efficient model training and convergence. The STOA algorithm was used to optimize the hyper-parameters of the Att-LSTM model, enhancing its generalization and predictive accuracy. The attention mechanism enabled the model to dynamically focus on critical time-dependent features influencing financial risk. Dynamic state analysis further strengthened the framework by capturing temporal shifts in enterprise conditions. Model evaluation using Python-based implementation of error metrics and classification accuracy (0.9899) showed better results compared to traditional and baseline deep learning (DL) models. The proposed framework offers a robust, adaptive tool for proactive financial risk assessment in agricultural enterprises, supporting sustainable decision-making in uncertain environments
A randomized, controlled trial of initial anti-retroviral therapy with abacavir/lamivudine/zidovudine twice-daily compared to atazanavir once-daily with lamivudine/zidovudine twice-daily in HIV-infected patients over 48 weeks (ESS100327, the ACTION Study)
<p>Abstract</p> <p>Background</p> <p>Traditional first line regimens containing a non-nucleoside reverse transcriptase inhibitor or protease inhibitor may not be suitable for a subset of antiretroviral-naïve patients such as those with certain co-morbidities, women of child-bearing potential, and intolerability to components of standard first line therapy. This study was conducted to determine if alternate treatment options may meet the needs of both general and special patient populations. The ACTION study was a randomized, open-label, multicenter, 48-week trial that compared the safety and efficacy of a triple nucleoside regimen versus a protease inhibitor plus a dual nucleoside regimen in HIV-1 treatment-naïve subjects.</p> <p>Results</p> <p>279 HIV-infected subjects with HIV-1 RNA (VL) >5000 but < 200,000 copies/mL (c/mL) and CD4+ count ≥ 100 cells/mm<sup>3 </sup>were randomized (1:1) to receive abacavir sulfate/lamivudine/zidovudine (ABC/3TC/ZDV) twice-daily or atazanavir (ATV) once-daily plus lamivudine/zidovudine (3TC/ZDV) twice-daily. Protocol-defined virologic failure was based on multiple failure criteria.</p> <p>Non-inferiority of ABC/3TC/ZDV to ATV+3TC/ZDV was established with 62% vs. 59% of subjects achieving a VL < 50 c/mL at week 48, [ITT(E), M/S = F, 95% CI: -5.9, 10.4]. Similar results were observed in the 230 (82%) subjects with baseline VL<100,000 c/mL (ABC/3TC/ZDV vs. ATV+3TC/ZDV), 66% vs. 59%; 95% CI: -5.6, 19.5. However, ABC/3TC/ZDV did not meet the non-inferiority criterion compared to ATV+3TC/ZDV in the 48 subjects with baseline VL ≥ 100,000 c/mL, 39% vs. 60%; 95% CI: -49.2, 7.4, respectively. Protocol-defined virologic failure was similar between groups.</p> <p>Conclusion</p> <p>ABC/3TC/ZDV demonstrated comparable virologic efficacy to ATV+3TC/ZDV in this population over 48 weeks. In those with a baseline VL ≥ 100,000 c/mL, subjects in the ATV+3TC/ZDV showed better virologic efficacy. Both regimens offer benefits in select therapy-naïve subjects.</p> <p>Trial Registration</p> <p>[Clinical Trials Identifier, NCT00082394].</p
Whole genome expression profiles of yeast RNA polymerase II core subunit, Rpb4, in stress and nonstress conditions
Organisms respond to environmental stress by adopting changes in gene expression at the transcriptional level. Rpb4, a nonessential subunit of the core RNA polymerase II has been proposed to play a role in non-stress-specific transcription and in the regulation of stress response in yeast. We find that in addition to the temperature sensitivity of the null mutant of Rpb4, diploid null mutants are also compromised in sporulation and show morphological changes associated with nitrogen starvation. Using whole genome expression analysis, we report here the effects of Rpb4 on expression of genes during normal growth and following heat shock and nutritional starvation. Our analysis shows that Rpb4 affects expression of a small yet significant fraction of the genome in both stress and normal conditions. We found that genes involved in galactose metabolism were dependent on the presence of Rpb4 irrespective of the environmental condition. Rpb4 was also found to affect the expression of several other genes specifically in conditions of nutritional starvation. The general defect in the absence of Rpb4 is in the expression of metabolic genes, especially those involved in carbon metabolism and energy generation. We report that various stresses are affected byRPB4 and that on overexpression the stress-specific activators can partially rescue the corresponding defects
Virosome: A vector in vaccine delivery
These days vaccines are considered the best economical and effective technique for preventing and handling bacterial infections, like human papillomavirus (HPV) or meningitis, allergies, autoimmune Relevant Disorders, Microbial Infections, and many more viral diseases. Annually millions of lives are saved from death-causing infections and other relevant disorders with the help of proper immunization with the help of vaccines. But still, many diseases are not yet preventable by vaccines and there is a chance of the improvement of current vaccines with help of many approaches. One of these is a compound known as a virosome, which is produced when pure haemagglutinin and neuraminidase projections of the influenza virus surface are removed from viral envelope and deposited on the exterior of unilamellar liposomes.Studies have shown that in order to attain the desired therapeutic effect, a physical attachment between the target antigen and the virosomal carrier is necessary. A virosome can bind to and “infect” host cells and deliver the antigen directly into the processing pathway which is an Alternatively, the virosome may be phagocytosed by an APC. So Our review gives a novel idea of the vector technology for vaccine delivery, its properties, method of preparation, and importance as well as some applications of different virosomal vaccine discoveries
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Genetic effects on gene expression across human tissues
Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease.Postprint (published version
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