Evaluation of nutritional status through bioimpedance analysis in a group of Cystic Fibrosis patients.

Abstract: Cystic fibrosis (CF) is the most common genetic disease in Caucasian people. Nutritional status represents an important key in the progression of the pulmonary disease in CF. People with better nutritional status, generally, maintain good levels of physical activity. Generally Bioelectrical impedance (BIA) analysis is frequently used as a method of body composition assessment, due to easy of use, safety and low cost of this procedure. The aim of this study was to investigate nutritional parameters in cystic fibrosis patient. We performed a single group cohort study. The study examined change in nutritional values in people with CF who practice sport or not, measured by bio-impedance analysis (BIA). Inclusion criteria were people with CF diagnosis confirmed. Primary outcome was evaluate body composition and the correlation with the rate of physical activity. A total of 32 patients were included in the analysis. The most important data was a correlation between Phangle and Body cellular mass index (BCMI) Pvalue<0.01, expecially in patients who had a good levels of aerobic and anaerobic session-training. Patients who did strong physical activity training had a statistically significant values of correlation with nutritional status. Further study were necessary to find association between exercise capa city and body mass index.

Testing the accuracy ratio of the Spatio-Temporal Epidemiological Modeler (STEM) through Ebola haemorrhagic fever outbreaks.

Mathematical modelling is an important tool for understanding the dynamics of the spread of infectious diseases, which could be the result of a natural outbreak or of the intentional release of pathogenic biological agents. Decision makers and policymakers responsible for strategies to contain disease, prevent epidemics and fight possible bioterrorism attacks, need accurate computational tools, based on mathematical modelling, for preventing or even managing these complex situations. In this article, we tested the validity, and demonstrate the reliability, of an open-source software, the Spatio-Temporal Epidemiological Modeler (STEM), designed to help scientists and public health officials to evaluate and create models of emerging infectious diseases, analysing three real cases of Ebola haemorrhagic fever (EHF) outbreaks: Uganda (2000), Gabon (2001) and Guinea (2014). We discuss the cases analysed through the simulation results obtained with STEM in order to demonstrate the capability of this software in helping decision makers plan interventions in case of biological emergencies.

Dental unit waterline contamination and its possible implications during periodontal surgery.

BACKGROUND: Dental unit waterline contamination has become a concern to clinical dentistry. This concern arises from the fact that bacteria sloughed from established biofilms in dental unit waterlines increase heterotrophic bacteria counts in water exiting these units. METHODS: Scanning microscopy and bacterial viability staining were used to examine the sessile and planktonic biofilm present in dental unit waterlines and water samples, respectively. In addition, the limulus amebocyte assay was used to measure the lipopolysaccharide (LPS) levels in water samples. RESULTS: All dental unit waterlines were coated with a well-established biofilm made up of filamentous and bacillus-like microorganisms. Water samples collected from these dental units contained high numbers of individual bacteria and bacterial aggregates. A viability staining technique identified significantly more bacteria in water than could be cultured, and 64% of the total bacterial population stained as nonvital. Since the bacterial load (viable and nonviable) was high, we examined the LPS in dental unit water samples. The mean LPS levels in water collected from high-speed and air/water lines in use were 480 and 1,008 endotoxin units (EU)/ml. This was significantly higher than the mean level of 66 EU/ml found in water samples collected from adjacent clinic sinks. The LPS level at the start of the day (2,560 EU/ml) was reduced by 70% with 1 minute of flushing (800 EU/ml). Flushing times of 5 and 10 minutes were not able to reduce LPS levels to zero. CONCLUSION: The presence of high heterotrophic bacterial counts, sloughing biofilm, and high LPS levels are discussed in relation to patient risk and periodontal wound healing biology.

An evaluation of sampling and laboratory procedures for determination of heterotrophic plate counts in dental unit waterlines.

BACKGROUND: The high numbers of heterotrophic microorganisms that have been cultured from dental unit waterlines (DUWs) have raised concern that this water may exceed suggested limits for heterotrophic plate counts (HPCs). The main purpose of this investigation was to examine HPC variability in DUWs and to examine in detail the effect of laboratory processing of water samples on HPC values. METHODS: Water samples were collected from dental offices either at the beginning of or during the clinic day and were transported to the laboratory, where they were analyzed. RESULTS: Measuring HPC levels within an office would involve testing all units, because significant differences were found between units connected to the same municipal water supply. Within a unit, the average microbial count from high-speed lines was approximately twice the average count from air/water lines. The laboratory processing of water samples significantly affected the numbers of heterotrophic microorganisms that were recovered. Incubation temperature, time and media, as well as neutralization of residual chlorine, all had significant effects on the HPC values. However, no significant differences in microbial counts were found between samples plated with the spread plate method on R2A agar and those plated with the pour plate method with Plate Count Agar. CONCLUSIONS: Dental organizations have suggested target limits in terms of numbers of heterotrophic microorganisms recovered in water from dental units, but standards for laboratory handling must be established as well. A protocol for sample collection and laboratory handling is proposed.

Historical population movements in Europe influence genetic relationships in modern samples.

We have newly constructed an ethnohistorical database consisting of 3460 records of ethnic locations and movements in Europe since 2200 B.C. Using this database, we computed vectors of proportions that peoples speaking various language families contributed to the gene pools of 2216 1 degree x 1 degree land-based quadrats of Europe. From these vectors we computed ethnohistorical distances as arc distances between all pairs of quadrats. We used these distances as predictors of genetic distances, which we calculated independently from 26 genetic systems. We find significant partial correlations between ethnohistorical and genetic distances when geographic distance, a common causative factor, is held constant. Ethnohistorical distances explain a significant amount of the genetic variation observed in modern populations. These results are highly robust to simulated errors in and omissions from the ethnohistorical database. Randomization tests show that the historical sequence of the movements does not affect estimates of the ethnohistory-genetics correlation, but the geographic locations of movements do. We track the development of the ethnohistory-genetics correlation through time and show it to be gradual and cumulative over the past 4200 years.

All-optical arbitrary demultiplexing at 2.5 Gbits/s with tolerance to timing jitter.

All-optical demultiplexing has been shown with a full-duty-cycle 2.5-Gbit/s signal in a nonlinear fiber Sagnac interferometer. Complete switching of arbitrary pulse patterns in the data stream has been achieved by using two orthogonal polarization states for the switching and switched pulse trains. The polarization dispersion between the two fiber axes defines a window that allows for switching with timing errors as large as 350 ps.