Synthesis, characterization, DNA-binding and biological activity of Zn(II) complexes of sulfadiazine with different amino acids

New Zn(II) complexes (ZnII-VS, ZnII-LS, ZnII-SS, ZnII-CS and ZnII-MS) of the sulfonamide antibiotic sulfadiazine with different amino acids were prepared and fully characterized by elemental analyses, thermal analysis and IR, UV/Vis and 1H NMR spectroscopy. The IR and 1H NMR spectral data show that the ligands behave in a dibasic bidentate fashion coordinating to zinc ion. Interactions of these complexes with DNA were investigated by spectrophotometric method. Moreover, the antibacterial and antifungal activities were evaluated for five ligands and their complexes. The computational study for prediction of absorption, distribution, metabolism, elimination and toxic factors (ADMET) properties were performed for the prepared ligands

Emotional Eating Interventions for Adults Living with Overweight or Obesity: A Systematic Review and Meta-Analysis

Background: Emotional eating (EE) may be defined as a tendency to eat in response to negative emotions and energy-dense and palatable foods, and is common amongst adults with overweight or obesity. There is limited evidence regarding the effectiveness of interventions that address EE. Objectives: To synthesize evidence on the effectiveness of EE interventions for weight loss and EE in adults living with overweight or obesity. Methods: This is a systematic review and meta-analysis. Adhering to the PRISMA guidance, a comprehensive electronic search was completed up to February 2022. Random effects meta-analysis was carried out to determine the percentage change in weight and EE scores. Results: Thirty-four studies were included. The combined effect size for percentage weight change was −1.08% (95% CI: −1.66 to −0.49, I2 = 64.65%, n = 37), once adjusted for publication bias. Similarly, the combined effect size for percentage change in EE was −2.37%, (95% CI: −3.76 to −0.99, I2 = 87.77%, n = 46). Cognitive Behavioural Therapy showed the most promise for reducing weight and improving EE. Conclusions: Interventions to address EE showed promise in reducing EE and promoted a small amount of weight loss in adults living with overweight or obesity

Estimating Discrete Markov Models From Various Incomplete Data Schemes

The parameters of a discrete stationary Markov model are transition probabilities between states. Traditionally, data consist in sequences of observed states for a given number of individuals over the whole observation period. In such a case, the estimation of transition probabilities is straightforwardly made by counting one-step moves from a given state to another. In many real-life problems, however, the inference is much more difficult as state sequences are not fully observed, namely the state of each individual is known only for some given values of the time variable. A review of the problem is given, focusing on Monte Carlo Markov Chain (MCMC) algorithms to perform Bayesian inference and evaluate posterior distributions of the transition probabilities in this missing-data framework. Leaning on the dependence between the rows of the transition matrix, an adaptive MCMC mechanism accelerating the classical Metropolis-Hastings algorithm is then proposed and empirically studied.Comment: 26 pages - preprint accepted in 20th February 2012 for publication in Computational Statistics and Data Analysis (please cite the journal's paper

Monitoring the sustainability of the Greek energy system

A concise set of energy indicators is proposed to assess the sustainability of the Greek energy system from 1960 onwards. Three generalized indices, each corresponding to one of the three dimensions of sustainable development (social, environmental and economic) are defined, estimated and presented in the form of a ternary plot. Results are used to analyze whether the energy system developed in a sustainable way, and to identify its weaknesses and deficiencies. The analysis further demonstrates the representativeness of the chosen set of indicators, and its ability to describe the most significant changes that occurred during the studied period. The analysis spans a period of 47 years, during which significant political, social and economic events took place in Greece. Results show that the development of the energy system has been mainly driven by social aspects. Environmental performance improvements are particularly evident during the last decade; however, a lot remains to be done to achieve national and European policy objectives. With regard to the social dimension, accessibility has substantially improved and disparities between low and high income households have narrowed. Nevertheless, energy prices have been continuously increasing at a rate higher than income. On economic terms, the initially observed improvement in productivity is misleading, as it was mostly caused by the increase of the Gross Domestic Product rather than energy efficiency improvements, while energy security has been worsening during the last decade

Vacuolating cytotoxin and variants in Atg16L1 that disrupt autophagy promote Helicobacter pylori infection in humans

Peer reviewedPreprin

Recognition of nonkeratinizing morphology in oropharyngeal squamous cell carcinoma – a prospective cohort and interobserver variability study *

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90168/1/j.1365-2559.2011.04092.x.pd

A meshless method for an inverse two-phase one-dimensional nonlinear Stefan problem

We extend a meshless method of fundamental solutions recently proposed by the authors for the one-dimensional two-phase inverse linear Stefan problem, to the nonlinear case. In this latter situation the free surface is also considered unknown which is more realistic from the practical point of view. Building on the earlier work, the solution is approximated in each phase by a linear combination of fundamental solutions to the heat equation. The implementation and analysis are more complicated in the present situation since one needs to deal with a nonlinear minimization problem to identify the free surface. Furthermore, the inverse problem is ill-posed since small errors in the input measured data can cause large deviations in the desired solution. Therefore, regularization needs to be incorporated in the objective function which is minimized in order to obtain a stable solution. Numerical results are presented and discussed

An evaluation of emerging vaccines for childhood pneumococcal pneumonia

<p>Abstract</p> <p>Background</p> <p>Pneumonia is the leading cause of child mortality worldwide. <it>Streptococcus pneumoniae</it> (SP) or <it>pneumococcus</it> is estimated to cause 821,000 child deaths each year. It has over 90 serotypes, of which 7 to 13 serotypes are included in current formulations of pneumococcal conjugate vaccines that are efficacious in young children. To further reduce the burden from SP pneumonia, a vaccine is required that could protect children from a greater diversity of serotypes. Two different types of vaccines against pneumococcal pneumonia are currently at varying stages of development: a multivalent pneumococcal conjugate vaccine covering additional SP serotypes; and a conserved common pneumococcal protein antigen (PPA) vaccine offering protection for all serotypes.</p> <p>Methods</p> <p>We used a modified CHNRI methodology for setting priorities in health research investments. This was done in two stages. In Stage I, we systematically reviewed the literature related to emerging SP vaccines relevant to several criteria of interest: answerability; efficacy and effectiveness; cost of development, production and implementation; deliverability, affordability and sustainability; maximum potential for disease burden reduction; acceptability to the end users and health workers; and effect on equity. In Stage II, we conducted an expert opinion exercise by inviting 20 experts (leading basic scientists, international public health researchers, international policy makers and representatives of pharmaceutical companies). The policy makers and industry representatives accepted our invitation on the condition of anonymity, due to sensitive nature of their involvement in such exercises. They answered questions from CHNRI framework and their “collective optimism” towards each criterion was documented on a scale from 0 to 100%.</p> <p>Results</p> <p>The experts expressed very high level of optimism (over 80%) that low-cost polysaccharide conjugate SP vaccines would satisfy each of the 9 relevant CHNRI criteria. The median potential effectiveness of conjugate SP vaccines in reduction of overall childhood pneumonia mortality was predicted to be about 25% (interquartile range 20-38%, min. 15%, max 45%). For low cost, cross-protective common protein vaccines for SP the experts expressed concerns over answerability (72%) and the level of development costs (50%), while the scores for all other criteria were over 80%. The median potential effectiveness of common protein vaccines in reduction of overall childhood pneumonia mortality was predicted to be about 30% (interquartile range 26-40%, min. 20%, max 45%).</p> <p>Conclusions</p> <p>Improved SP vaccines are a very promising investment that could substantially contribute to reduction of child mortality world-wide.</p

Clinical outcome and prognostic factors for patients treated within the context of a phase I study: the Royal Marsden Hospital experience

The main aim of phase I trials is to evaluate the tolerability and pharmacology of a new compound. However, investigating the potential for clinical benefit is also a key objective. Our phase I trial portfolio incorporates a range of new drugs, including molecular targeted agents, sometimes given together with cytotoxic agents. We performed this analysis of response rate, progression-free (PFS) and overall survival (OS) to assess the extent of clinical benefit rate (CBR: partial response (PR)+stable disease (SD)) derived from current trials. We analysed 212 consecutive patients who were treated in 29 phase I studies, from January 2005 to June 2006. All patients had progression of disease prior to study entry. The median age was 58 years (range: 18–86) with a male/female ratio of 2 : 1. A total of 148 patients (70%) were treated in ‘first in human trials' involving biological agents (132 patients) or new cytotoxic compounds (16 patients) alone, and 64 patients (30%) received chemotherapy-based regimens with or without biological agents. After a median follow-up time of 34 weeks, the median PFS and OS were 11 and 43 weeks, respectively. The CBR was 53% (9% PR and 44% SD) after the first tumour evaluation after two cycles (between weeks 6 and 8) and has been maintained at 36 and 26% at 3 and 6 months, respectively. Treatment related deaths occurred in 0.47% of our patients and treatment had to be withdrawn in 11.8% of patients due to toxicity. A multivariate analysis (MVA) of 13 factors indicated that low albumin (<35 g l−1), lactate dehydrogenase>upper normal limit and >2 sites of metastasis were independent negative prognostic factors for OS. A risk score based on the MVA revealed that patients with a score of 2–3 had a significantly shorter OS compared to patients with a score of 0–1 (24.9 weeks, 95% CI 19.5–30.2 vs 74.1 weeks, 95% CI 53.2–96.2). This analysis shows that a significant number of patients who develop disease progression while receiving standard therapy derived benefit from participation in phase I trials. Risk scoring based on objective clinical parameters indicated that patients with a high score had a significantly shorter OS, and this may help in the process of patient selection for phase I trial entry