Effects of vitamin D and the antimicrobial peptide in asthma

Background: Vitamin D modulates a variety of processes and regulatory systems including host defense, inflammation, and immunity. A connection between Vitamin D status and asthma has been considered. Vitamin D mediates innate immunity, particularly through enhanced expression of the human cathelicidin antimicrobial peptide (LL-37). Increased levels of high sensitive-C reactive protein (Hs-CRP) were found to be significantly associated with respiratory function impairment. Objective: to evaluate the relation between serum vitamin D, Hs-CRP and LL-37 levels and asthma. Study design: Thirty children (15 males and 15 females) with proven diagnosis of asthma (ages ranged from 3-13 years) were studied; they attended the pediatric department of Zagazig University Hospital in the year 2011. In addition, 30 age and sex matched apparently healthy children served as a control group. All children were subjected to history taking, clinical examination, laboratory investigations (CBC, CRP, ESR), determination of serum level of 25-hydroxyvitamin D (25 OHD) and plasma LL-37. Results: The study revealed a highly significant decrease in 25 OHD, LL-37 and a highly significant increase in Hs-CRP in children with asthma than in control group. There were a highly significant positive correlation between vitamin D and LL37 in patients' and control groups and a significant negative correlation between both 25OHD and LL37 and Hs-CRP in patients' group. High WBC count (specially neutrophils and lymphocytes), Hs-CRP level and low levels of hemoglobin, 25OHD and LL 37 in patient group were considered risk factors of asthma. Conclusion: Inappropriate concentration of vitamin D decreases the ability of the immune system to defend against infection through lowering LL-37 and elevated Hs-CRP which leads to occurrence and precipitation of asthma.Keywords: Vitamin D- LL-37- asthmaEgypt J Pediatr Allergy Immunol 2012;10(2):101-10

A Software Evolution Process Model: Analysis of Software Failure Causes

This paper presents a study on the degree of impact of several components on the evolvability of software systems. In particular, it focuses on failure rates, testing, and other factors which force the evolution of a software system. Also, it studies the evolution of software systems in the presence of various failure scenarios. Unlike previous studies based on the system dynamic (SD) model, this study is modeled on the basis of actor-network theory (ANT) of software evolution, using the system dynamic environment. The main index used in this study is the destabilization period after the recovery from any failure scenario. The results show that more testing and quick recovery after failure are keys to a fast system return to stability

A Software Evolution Process Model: Analysis of Software Failure Causes

This paper presents a study on the degree of impact of several components on the evolvability of software systems. In particular, it focuses on failure rates, testing, and other factors which force the evolution of a software system. Also, it studies the evolution of software systems in the presence of various failure scenarios. Unlike previous studies based on the system dynamic (SD) model, this study is modeled on the basis of actor-network theory (ANT) of software evolution, using the system dynamic environment. The main index used in this study is the destabilization period after the recovery from any failure scenario. The results show that more testing and quick recovery after failure are keys to a fast system return to stability

Reliability analysis of the new exponential inverted topp–leone distribution with applications

The inverted Topp–Leone distribution is a new, appealing model for reliability analysis. In this paper, a new distribution, named new exponential inverted Topp–Leone (NEITL) is presented, which adds an extra shape parameter to the inverted Topp–Leone distribution. The graphical representations of its density, survival, and hazard rate functions are provided. The following properties are explored: quantile function, mixture representation, entropies, moments, and stress– strength reliability. We plotted the skewness and kurtosis measures of the proposed model based on the quantiles. Three different estimation procedures are suggested to estimate the distribution parameters, reliability, and hazard rate functions, along with their confidence intervals. Additionally, stress–strength reliability estimators for the NEITL model were obtained. To illustrate the findings of the paper, two real datasets on engineering and medical fields have been analyzed

THE (2+1)-DIMENSIONAL COUPLED CUBIC-QUINTIC COMPLEX GINZBURG-LANDAU EQUATIONS IN BINARY FLUID CONVECTION AND SOLITARY WAVE SOLUTIONS

Many features of binary fluid thermal convection can be modeled by the coupled cubic-quintic complex Ginzburg-Landau equations(CC-QGLEs) including complex physical coef-ficients

Concurrent Acquisition of a Single Nucleotide Polymorphism in Diverse Influenza H5N1 Clade 2.2 Sub-clades

Highly pathogenic Influenza A H5N1 was first identified in Guangdong Province in 1996, followed by human cases in Hong Kong in 1997. The number of confirmed human cases now exceeds 300, and the associated Case Fatality Rate exceeds 60%. The genetic diversity of the serotype continues to increase. Four distinct clades or sub-clades have been linked to human cases. The gradual genetic changes identified in the sub-clades have been attributed to copy errors by viral encoded polymerases that lack an editing function, thereby resulting in antigenic drift. We report here the concurrent acquisition of the same polymorphism by multiple, genetically distinct, clade 2.2 sub-clades in Egypt, Russia, and Ghana. These changes are not easily explained by the current theory of “random mutation” through copy error, and are more easily explained by recombination with a common source. This conclusion is supported by additional polymorphisms shared by clade 2.2 isolates in Egypt and Germany

Aggregation of Single Nucleotide Polymorphisms in a Human H5N1 Clade 2.2 Hemagglutinin

The evolution of H5N1 has attracted significant interest 1-4 due to linkages with avian 5,6 and human infections 7,8. The basic tenets of influenza genetics 9 attribute genetic drift to replication errors caused by a polymerase complex that lacks a proof reading function. However, recent analysis 10 of swine influenza genes identifies regions copied with absolute fidelity for more than 25 years. In addition, polymorphism tracing of clade 2.2 H5N1 single nucleotide polymorphisms identify concurrent acquisition 11 of the same polymorphism onto multiple genetic backgrounds in widely dispersed geographical locations. Here we show the aggregation of regional clade 2.2 polymorphisms from Germany, Egypt, and sub-Sahara Africa onto a human Nigerian H5N1 hemagglutinin (HA), implicating recombination in the dispersal and aggregation of single nucleotide polymorphisms from closely related genomes