(C) 2010 American Institute of Physics. [doi:10.1063/1.3311559]“
“To evaluate the effect of palivizumab prophylaxis on hospitalization for acute respiratory tract infections (RTI) in preterm infants, a prospective study was performed on a cohort of preterm infants [gestational age (GA) <= 32weeks], admitted at birth to Compound C solubility dmso a Neonatology Intensive Care Unit (NICU) (follow-up: 30-month after discharge). 154 palivizumab-recipients and 71 palivizumab-non-recipients were evaluated. During follow-up, a similar rate of hospitalization for RTI was found in the two groups (11.3% in palivizumab-non-recipients and 15.58% in palivizumab-recipients,

P=0.39). However, when only infants hospitalized during their first respiratory syncytial virus (RSV) epidemic season and with a chronological age <6 months at admission were considered, the incidence rates for hospitalization

was six-fold lower in the palivizumab-recipients (P=0.007). This study contributes to the definition of epidemiological data on RTI among preterm infants in Italy. These data support the usefulness of palivizumab prophylaxis for prevention of hospitalization for RTI in young preterm infants during the expected RSV epidemic season.”
“Understanding the relationship between genetic variation and gene expression is a central question in genetics. With the availability of data from high-throughput technologies such as ChIP-Chip, expression, and genotyping arrays, we can begin to not only identify associations but to understand how genetic variations perturb the underlying transcription selleck chemicals regulatory networks to induce differential gene expression. In this study, we describe a simple model of transcription regulation where the expression of a gene is completely characterized by two properties:

the concentrations and promoter affinities of active transcription factors. We devise a method that extends Network Component Analysis (NCA) to determine how genetic variations in the form of single nucleotide polymorphisms (SNPs) perturb these two properties. Applying our method to a segregating population of Saccharomyces cerevisiae, we found statistically significant examples of trans-acting SNPs located Syk inhibitor in regulatory hotspots that perturb transcription factor concentrations and affinities for target promoters to cause global differential expression and cis-acting genetic variations that perturb the promoter affinities of transcription factors on a single gene to cause local differential expression. Although many genetic variations linked to gene expressions have been identified, it is not clear how they perturb the underlying regulatory networks that govern gene expression. Our work begins to fill this void by showing that many genetic variations affect the concentrations of active transcription factors in a cell and their affinities for target promoters.