28 research outputs found
AGR2, an Endoplasmic Reticulum Protein, Is Secreted into the Gastrointestinal Mucus
The MUC2 mucin is the major constituent of the two mucus layers in colon. Mice lacking the disulfide isomerase-like protein Agr2 have been shown to be more susceptible to colon inflammation. The Agr2(-/-) mice have less filled goblet cells and were now shown to have a poorly developed inner colon mucus layer. We could not show AGR2 covalently bound to recombinant MUC2 N- and C-termini as have previously been suggested. We found relatively high concentrations of Agr2 in secreted mucus throughout the murine gastrointestinal tract, suggesting that Agr2 may play extracellular roles. In tissue culture (CHO-K1) cells, AGR2 is normally not secreted. Replacement of the single Cys in AGR2 with Ser (C81S) allowed secretion, suggesting that modification of this Cys might provide a mechanism for circumventing the KTEL endoplasmic reticulum retention signal. In conclusion, these results suggest that AGR2 has both intracellular and extracellular effects in the intestine
Isotopic effects
Funding Information:
M.P.-R. acknowledges “María Zambrano” contract of the Univ. de Vigo, financed by the Spanish Ministerio de Universidades/33.50.460A.752 and by the European Union NextGenerationEU/PRTR, and grant Ref. CNS2022-135881 financed by the MCIN/AEI/10.13039/501100011033. M.M.P. and M.P-.R. acknowledge financial support from Spanish Ministerio de Ciencia e Innovación, through grant Ref. PID2021-125081NB-I00, and the computational resources provided by Centro de Supercomputación de Galicia (CESGA, www.cesga.es)
Publisher Copyright:
© 2023 The AuthorsIn this work, we report the CO2 hydrate phase equilibria in water (H2O), heavy water (D2O), and their binary mixtures following the isochoric pressure search method using a rocking cell apparatus. The phase behaviour was mapped within the temperature and pressure range of 276.32 – 284.80 K and 1.59 – 3.78 MPa, respectively. It was found that there is a difference of ∼ 2 K in the equilibrium line of CO2 hydrates formed in H2O and in D2O, respectively. The hydrate dissociation enthalpies obtained using the Clausius-Clapeyron equation indicate almost similar values formed either in D2O, H2O or their mixtures. These shifts in this equilibrium temperature were compared with the triphasic equilibrium temperature variation estimation obtained using Molecular Dynamics Simulations and a very good agreement with the experimentally obtained values was observed. Further, a constant cooling method was used to obtain the onset temperature of hydrate nucleation for these systems at 3.6 MPa. It has been found that during the cooling ramps, the nucleation always occurred in the vicinity of the temperature of maximum density (TMD) of the systems where water still retains some structuredness. The nucleation experiments also give information about the metastable zone width (MSZW) of the studied systems. The results reported in this work indicate the magnitude of the isotopic effect on CO2 hydrate formation and dissociation that may have implications towards the application of hydrate technology for separation and purification processes.publishersversionpublishe
Spread of a SARS-CoV-2 variant through Europe in the summer of 2020
[EN] Following its emergence in late 2019, the spread of SARS-CoV-21,2 has been tracked by phylogenetic analysis of viral genome sequences in unprecedented detail3,4,5. Although the virus spread globally in early 2020 before borders closed, intercontinental travel has since been greatly reduced. However, travel within Europe resumed in the summer of 2020. Here we report on a SARS-CoV-2 variant, 20E (EU1), that was identified in Spain in early summer 2020 and subsequently spread across Europe. We find no evidence that this variant has increased transmissibility, but instead demonstrate how rising incidence in Spain, resumption of travel, and lack of effective screening and containment may explain the variant’s success. Despite travel restrictions, we estimate that 20E (EU1) was introduced hundreds of times to European countries by summertime travellers, which is likely to have undermined local efforts to minimize infection with SARS-CoV-2. Our results illustrate how a variant can rapidly become dominant even in the absence of a substantial transmission advantage in favourable epidemiological settings. Genomic surveillance is critical for understanding how travel can affect transmission of SARS-CoV-2, and thus for informing future containment strategies as travel resumes.S
Higher COVID-19 pneumonia risk associated with anti-IFN-α than with anti-IFN-ω auto-Abs in children
We found that 19 (10.4%) of 183 unvaccinated children hospitalized for COVID-19 pneumonia had autoantibodies (auto-Abs) neutralizing type I IFNs (IFN-alpha 2 in 10 patients: IFN-alpha 2 only in three, IFN-alpha 2 plus IFN-omega in five, and IFN-alpha 2, IFN-omega plus IFN-beta in two; IFN-omega only in nine patients). Seven children (3.8%) had Abs neutralizing at least 10 ng/ml of one IFN, whereas the other 12 (6.6%) had Abs neutralizing only 100 pg/ml. The auto-Abs neutralized both unglycosylated and glycosylated IFNs. We also detected auto-Abs neutralizing 100 pg/ml IFN-alpha 2 in 4 of 2,267 uninfected children (0.2%) and auto-Abs neutralizing IFN-omega in 45 children (2%). The odds ratios (ORs) for life-threatening COVID-19 pneumonia were, therefore, higher for auto-Abs neutralizing IFN-alpha 2 only (OR [95% CI] = 67.6 [5.7-9,196.6]) than for auto-Abs neutralizing IFN-. only (OR [95% CI] = 2.6 [1.2-5.3]). ORs were also higher for auto-Abs neutralizing high concentrations (OR [95% CI] = 12.9 [4.6-35.9]) than for those neutralizing low concentrations (OR [95% CI] = 5.5 [3.1-9.6]) of IFN-omega and/or IFN-alpha 2
Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples
Funder: NCI U24CA211006Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts
Influence of xenobiotic contaminants on landfill soil microbial activity and diversity
6 páginas, 3 figuras y 3 tablasLandfills are often the final recipient of a range of environmentally important contaminants such as
hydrocarbons, polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs). In this
study the influence of these contaminants on microbial activity and diversity was assessed in a municipal
solid waste (MSW) landfill placed in Torrejón de Ardoz (Madrid, Spain).
Soil samples were collected from four selected areas (T2, T2B, T8 and T9) in which the amount of total
hydrocarbons, PAHs and PCBs were measured. Soil biomass, substrate induced respiration (SIR) and
physiological profiles of soil samples were also determined and used as indicators of total microbial
activity.
Highest concentration of total hydrocarbons was detected in T2 and T9 samples, with both PCBs and
benzopyrene being detected in T9 sample. Results corresponding to microbial estimation (viable bacteria
and fungi, and SIR) and microbiological enzyme activities showed that highest values corresponded to
areas with the lowest concentration of hydrocarbons (T2B and T8). It is noticeable that in such areas was
detected the lowest concentration of the pollutants PAHs and PCBs. A negative significant correlation
between soil hydrocarbons concentration and SIR, total bacteria and fungi counts and most of the
enzyme activities determined was established. DGGE analysis was also carried out to determine the
microbial communities’ structure in the soil samples, establishing different profiles of Bacteria and
Archaea communities in each analysed area. Through the statistical analysis a significant negative
correlation was only found for Bacteria domain when Shannon index and hydrocarbon concentration
were correlated. In addition, a bacterial 16S rRNA gene based clone library was prepared from each soil.
From the clones analysed in the samples, the majority corresponded to Proteobacteria, followed by
Acidobacteria and Actinobacteria. It is important to remark that the most polluted sample (T9) showed the
lowest microbial diversity only formed by six phyla being Proteobacteria and Acidobacteria the most
representative.This work has been supported by the Comunidad de Madrid
EIADES project (S-0505/AMB/0296) and the CICYT project
(CGL2006-12730-C03-02).Peer reviewe
Dynamic changes in mucus thickness and ion secretion during Citrobacter rodentium infection and clearance.
Citrobacter rodentium is an attaching and effacing pathogen used as a murine model for enteropathogenic Escherichia coli. The mucus layers are a complex matrix of molecules, and mucus swelling, hydration and permeability are affected by many factors, including ion composition. Here, we used the C. rodentium model to investigate mucus dynamics during infection. By measuring the mucus layer thickness in tissue explants during infection, we demonstrated that the thickness changes dynamically during the course of infection and that its thickest stage coincides with the start of a decrease of bacterial density at day 14 after infection. Although quantitative PCR analysis demonstrated that mucin mRNA increases during early infection, the increased mucus layer thickness late in infection was not explained by increased mRNA levels. Proteomic analysis of mucus did not demonstrate the appearance of additional mucins, but revealed an increased number of proteins involved in defense responses. Ussing chamber-based electrical measurements demonstrated that ion secretion was dynamically altered during the infection phases. Furthermore, the bicarbonate ion channel Bestrophin-2 mRNA nominally increased, whereas the Cftr mRNA decreased during the late infection clearance phase. Microscopy of Muc2 immunostained tissues suggested that the inner striated mucus layer present in the healthy colon was scarce during the time point of most severe infection (10 days post infection), but then expanded, albeit with a less structured appearance, during the expulsion phase. Together with previously published literature, the data implies a model for clearance where a change in secretion allows reformation of the mucus layer, displacing the pathogen to the outer mucus layer, where it is then outcompeted by the returning commensal flora. In conclusion, mucus and ion secretion are dynamically altered during the C. rodentium infection cycle
Change in membrane current (ΔIm) after stimulation with forskolin and carbachol with and without pre-treatment with the CFTR inhibitor GlyH-101.
<p>(mean±SEM, n = 6). As the Caco-2 cells did not respond to carbachol, the ability of GlyH-101 to inhibit the response was not analyzed in this cell line.</p
The basal electrochemical properties of the distal colonic explants measured in Ussing chambers during <i>C. rodentium</i> infection.
<p>Baseline PD (A), Im (B) and Rp (C) of distal colonic tissue during <i>C. rodentium</i> infection. Statistics: ANOVA, Dunnet’s post hoc test, * = p<0.05, ** = p<0.01.</p
mRNA levels of mucins and some related proteins in distal colon during <i>C. rodentium</i> infection.
<p>Muc1 (A), Muc2 (B), Muc4 (C), Muc13 (D), Clca-3 (E), Cftr (F), and Best-2 (G). Expression data were normalized against the Hprt-1 housekeeping gene. Fold changes were calculated using ΔΔCT with mean of CT from three uninfected mice as control.</p