26 research outputs found
Toxigenic Clostridium difficile colonization among hospitalised adults; risk factors and impact on survival
Objectives: To establish risk factors for Clostridium difficile colonization among hospitalized patients in England.
Methods: Patients admitted to elderly medicine wards at three acute hospitals in England were recruited to a prospective observational study. Participants were asked to provide a stool sample as soon as possible after enrolment and then weekly during their hospital stay. Samples were cultured for C. difficile before ribotyping and toxin detection by PCR. A multivariable logistic regression model of risk factors for C. difficile colonization was fitted from univariable risk factors significant at the p < 0.05 level.
Results: 410/727 participants submitted ≥1 stool sample and 40 (9.8%) carried toxigenic C. difficile in the first sample taken. Ribotype 106 was identified three times and seven other ribotypes twice. No ribotype 027 strains were identified. Independent predictors of colonization were previous C. difficile infection (OR 4.53 (95% C.I. 1.33–15.48) and malnutrition (MUST score ≥2) (OR 3.29 (95% C.I. 1.47–7.35)). Although C. difficile colonised patients experienced higher 90-day mortality, colonization was not an independent risk for death.
Conclusions: In a non-epidemic setting patients who have previously had CDI and have a MUST score of ≥2 are at increased risk of C. difficile colonization and could be targeted for active surveillance to prevent C. difficile transmission
The XMM Cluster Survey: The interplay between the brightest cluster galaxy and the intra-cluster medium via AGN feedback
Using a sample of 123 X-ray clusters and groups drawn from the XMM-Cluster
Survey first data release, we investigate the interplay between the brightest
cluster galaxy (BCG), its black hole, and the intra-cluster/group medium (ICM).
It appears that for groups and clusters with a BCG likely to host significant
AGN feedback, gas cooling dominates in those with Tx > 2 keV while AGN feedback
dominates below. This may be understood through the sub-unity exponent found in
the scaling relation we derive between the BCG mass and cluster mass over the
halo mass range 10^13 < M500 < 10^15Msol and the lack of correlation between
radio luminosity and cluster mass, such that BCG AGN in groups can have
relatively more energetic influence on the ICM. The Lx - Tx relation for
systems with the most massive BCGs, or those with BCGs co-located with the peak
of the ICM emission, is steeper than that for those with the least massive and
most offset, which instead follows self-similarity. This is evidence that a
combination of central gas cooling and powerful, well fuelled AGN causes the
departure of the ICM from pure gravitational heating, with the steepened
relation crossing self-similarity at Tx = 2 keV. Importantly, regardless of
their black hole mass, BCGs are more likely to host radio-loud AGN if they are
in a massive cluster (Tx > 2 keV) and again co-located with an effective fuel
supply of dense, cooling gas. This demonstrates that the most massive black
holes appear to know more about their host cluster than they do about their
host galaxy. The results lead us to propose a physically motivated, empirical
definition of 'cluster' and 'group', delineated at 2 keV.Comment: Accepted for publication in MNRAS - replaced to match corrected proo
Rapid Detection of the H275Y Oseltamivir Resistance Mutation in Influenza A/H1N1 2009 by Single Base Pair RT-PCR and High-Resolution Melting
Introduction: We aimed to design a real-time reverse-transcriptase-PCR (rRT-PCR), high-resolution melting (HRM) assay to detect the H275Y mutation that confers oseltamivir resistance in influenza A/H1N1 2009 viruses.Findings: A novel strategy of amplifying a single base pair, the relevant SNP at position 823 of the neuraminidase gene, was chosen to maintain specificity of the assay. Wildtype and mutant virus were differentiated when using known reference samples of cell-cultured virus. However, when dilutions of these reference samples were assayed, amplification of nonspecific primer-dimer was evident and affected the overall melting temperature (Tm) of the amplified products. Due to primer-dimer appearance at .30 cycles we found that if the cycle threshold (CT) for a dilution was .30, the HRM assay did not consistently discriminate mutant from wildtype. Where the CT was ,30 we noted an inverse relationship between CT and Tm and fitted quadratic curves allowed the discrimination of wildtype, mutant and 30:70 mutant:wildtype virus mixtures. We compared the CT values for a TaqMan H1N1 09 detection assay with those for the HRM assay using 59 clinical samples and demonstrated that samples with a TaqMan detection assay CT.32.98 would have an H275Y assay CT.30. Analysis of the TaqMan CT values for 609 consecutive clinical samples predicted that 207 (34%) of the samples would result in an HRM assay CT.30 and therefore not be amenable to the HRM assay.Conclusions: The use of single base pair PCR and HRM can be useful for specifically interrogating SNPs. When applied to H1N1 09, the constraints this placed on primer design resulted in amplification of primer-dimer products. The impact primer-dimer had on HRM curves was adjusted for by plotting Tm against CT. Although less sensitive than TaqMan assays, the HRM assay can rapidly, and at low cost, screen samples with moderate viral concentrations
The ESO Distant Cluster Sample: galaxy evolution and environment out to z=1
The ESO Distant Cluster Survey (EDisCS, P.I. Simon D.M. White, LP 166.A-0162)
is an ESO large programme aimed at studying clusters and cluster galaxies at
z=0.4-1. How different is the evolution of the star formation activity in
clusters, in groups and in the field? Does it depend on cluster mass and/or the
local galaxy density? How relevant are starburst and post-starburst galaxies in
the different environments? Is there an evolution in the galaxies' structures,
and if so, is this related to the changes in their star formation activity?
These are some of the main questions that have been investigated using the
EDisCS dataset.Comment: to appear in The Messenger, issue June 200
A real-time PCR assay for the detection of Neisseria gonorrhoeae in genital and extragenital specimens
A Neisseria gonorrhoeae LightCycler (NGpapLC) assay targeting the porA pseudogene was compared with bacterial culture for detection of N.gonorrhoeae in 636 clinical specimens (216 cervical, 185 urethral, 196 throat, and 39 rectal swab specimens). The specificity of the NGpapLC assay was further investigated by testing a bacterial reference panel comprising several Neisseria species. Overall, 19 (3.0%) specimens were positive and 613 (96.4%) specimens were negative by both methods. Four (0.6%) specimens were positive by the NGpapLC assay only. For the cervical and urethral swabs, the NGpapLC provided 100% sensitivity and 100% specificity compared with bacterial culture. Following discrepant analysis, the clinical sensitivity and specificity of the NGpapLC for throat and rectal swabs was also 100%. For the bacterial panel, only N. gonorrhoeae isolates provided positive results. The results show the NGpapLC assay is suitable for use on a range of clinical specimens and could improve detection of pharyngeal N. gonorrhoeae. (c) 2005 Elsevier Inc. All rights reserved
Microbial community profiles for the mock community. 16 S libraries were normalized to 900 sequences and 97% OTUs were consolidated at the genus level.
<p>The nine genera comprising the mock community are marked in black italics, while the starred genera in grey italics correspond to contaminants.</p
Microbial community profiles for BAL samples.
<p>16 S libraries were normalized to 400 sequences and 97% OTUs were consolidated at the genus level. Red boxes indicate genera previously cultured during routine microbiology. Samples processed with DTT (Sputasol) are labeled in blue. Community profiles including all sequences are presented in (A), and profiles excluding sequences at less than 0.6% relative abundance are presented in (B).</p
Examination of contaminants in the mock community.
<p>(A) Relationship between DNA yield and percent of contaminating genera in the mock community. The equation for a power law regression with coefficient of determination are presented in the inset. (B) Relative abundances of known mock community and spurious (contaminating) genera in mock community profiles. Asterisks indicate data points which represent more than one genus.</p