ABSTRACT: EMG produced TPA metagenomics assembly of the Impact of LAB supplementation in drinking water on chicken crop and ceca (LSA LAB in drinking water) data set.
Project description:The chicken gastrointestinal tract (GIT) harbours a complex microbial community, involved in several physiological processes such as host immunomodulation and feed digestion. Other studies were already performed to define the chicken gut metagenome and its fecal metaproteome. For the first time, the present study analysed dietary effects on the protein inventory of the microbiota in crop and ceca of broilers. We performed quantitative label-free metaproteomics by using 1D-gel electrophoresis coupled with LC-MS/MS to identify the structural and functional changes triggered by diets supplied with varying amount of mineral phosphorus (P) and microbial phytase (MP). Phylogenetic assessment based on label-free quantification (LFQ) values of the proteins identified Lactobacillaceae as the major family in the crop section regardless of the diet, whereas proteins belonging to the family Veillonellaceae increased with the P supplementation. Within the ceca section, proteins of Bacteroidaceae were more abundant in the P-supplied diets, whereas proteins of Eubacteriaceae decreased with the P-addition. Proteins of the Ruminococcaceae increasedraised with the amount of MP while proteins of Lactobacillaceae werewas more abundant in the MP-lacking diets. Classification of the identified proteins into COGs and KEGG pathways underlined a diverse microbiota activity depending on the dietary regimen, indicating a thriving microbial community in the case of P and MP supplementation, and stressed microbial community when no P and MP were supplied. Insights oninto the identified KEGG pathways, as well as comparison between the GIT sections, dietary treatments, and the bacterial families encoding for the pathways of interest are provided. T) harbours a complex microbial community, involved in several physiological processes such as host immunomodulation and feed digestion. Other studies were already performed to define the chicken gut metagenome and its fecal metaproteome. For the first time, the present study analysed dietary effects on the protein inventory of the microbiota in crop and ceca of broilers. We performed quantitative label-free metaproteomics by using 1D-gel electrophoresis coupled with LC-MS/MS to identify the structural and functional changes triggered by diets supplied with varying amount of mineral phosphorus (P) and microbial phytase (MP). Phylogenetic assessment based on label-free quantification (LFQ) values of the proteins identified Lactobacillaceae as the major family in the crop section regardless of the diet, whereas proteins belonging to the family Veillonellaceae increased with the P supplementation. Within the ceca section, proteins of Bacteroidaceae were more abundant in the P-supplied diets, whereas proteins of Eubacteriaceae decreased with the P-addition. Proteins of the Ruminococcaceae increasedraised with the amount of MP while proteins of Lactobacillaceae werewas more abundant in the MP-lacking diets. Classification of the identified proteins into COGs and KEGG pathways underlined a diverse microbiota activity depending on the dietary regimen, indicating a thriving microbial community in the case of P and MP supplementation, and stressed microbial community when no P and MP were supplied. Insights oninto the identified KEGG pathways, as well as comparison between the GIT sections, dietary treatments, and the bacterial families encoding for the pathways of interest are provided.
Project description:Perfluoroalkyl acid carboxylates and sulfonates (PFAAs) have many consumer and industrial applications. The persistence and widespread distribution of these compounds in humans have brought them under intense scrutiny. Limited pharmacokinetic data is available in humans; however, human data exists for two communities with drinking water contaminated by PFAAs. Also, there is toxicological and pharmacokinetic data for monkeys, which can be quite useful for cross-species extrapolation to humans. The goal of this research was to develop a physiologically-based pharmacokinetic (PBPK) model for PFOA and PFOS for monkeys and then scale this model to humans in order to describe available human drinking water data. The monkey model simulations were consistent with available PK data for monkeys. The monkey model was then extrapolated to the human and then used to successfully simulate the data collected from residents of two communities exposed to PFOA in drinking water. Human PFOS data is minimal; however, using the half-life estimated from occupational exposure, our model exhibits reasonable agreement with the available human serum PFOS data. It is envisioned that our PBPK model will be useful in supporting human health risk assessments for PFOA and PFOS by aiding in understanding of human pharmacokinetics.
Model is encoded by Ruby and submitted to BioModels by Ahmad Zyoud
Project description:Liver RNA samples from C57BL6 mice drinking Hydrogen water for 4 weeks We used microarrays to detail the gene expression after drinking hydrogen water.
Project description:Rational: Amino acid metabolism is crucial for inflammatory processes during atherogenesis. The endogenous amino acid homoarginine (HA) is a robust biomarker for cardiovascular outcome and mortality with high levels being protective. However, the underlying molecular mechanism remains elusive. Objective: We investigated the effect of HA supplementation on atherosclerotic plaque development with a particular focus on athero-inflammation. Methods and Results: Female apolipoprotein (Apo) E-deficient mice were supplemented with HA (14 mg/L) in drinking water starting two weeks before and continuing throughout a six week-course of Western-type diet (HA-treated). Control mice (Ctrl) received normal drinking water. HA supplementation led to a 2-fold increase in circulating HA concentrations. Plaque- and immunological phenotyping revealed that HA-treated mice exhibited a reduction in atherosclerosis in the aortic root as well as in the brachiocephalic trunk. A substantial decrease in lesion CD3+ T cells suggested a T cell-related effect of HA supplementation. Using mass spectrometry-based proteomics and subsequent pathway analysis together with conventional in vitro techniques such as flow cytometry, various migration and chemotaxis assays as well as super-resolution microscopy, we demonstrate that HA profoundly modulated the spatial organization of the T-cell actin cytoskeleton. Further mechanistic studies revealed an inhibition of T-cell activation and proliferation as well as a striking impairment of the migratory capacities of T cells in response to relevant chemokines by HA, all of which likely contribute to its atheroprotective effects. Conclusion: This study unravels a novel mechanism, by which the amino acid HA reduces atherosclerosis, namely the regulation of T-cell functions crucial for adaptive immunity. We identified that HA modulates the T-cell cytoskeleton and thereby mitigated important T-cell functions during atherogenesis. These findings provide a molecular explanation for the beneficial effects of HA in atherosclerotic cardiovascular disease.
Project description:Here we investigated the longterm carryover effects of dichloroacetic acid (DCA), a common by-product of drinking water chlorination, on hepatic tumorigenesis in mice. Our findings demonstrate that postnatal exposure to a common drinking water contaminant results in longterm carryover effects on tumorigenesis, potentially via epigenetic events altering cellular respiration and metabolism.
Project description:We characterized the bacterial diversity of chlorinated drinking water from three surface water treatment plants supplying the city of Paris, France. For this purpose, we used serial analysis of V6 ribosomal sequence tag (SARST-V6) to produce concatemers of PCR-amplified ribosomal sequence tags (RSTs) from the V6 hypervariable region of the 16S rRNA gene for sequence analysis. Using SARST-V6, we obtained bacterial profiles for each drinking water sample, demonstrating a strikingly high degree of biodiversity dominated by a large collection of low-abundance phylotypes. In all water samples, between 57.2-77.4% of the sequences obtained indicated bacteria belonging to the Proteobacteria phylum. Full-length 16S rDNA sequences were also generated for each sample, and comparison of the RSTs with these sequences confirmed the accurate assignment for several abundant bacterial phyla identified by SARST-V6 analysis, including members of unclassified bacteria, which account for 6.3-36.5% of all V6 sequences. These results suggest that these bacteria may correspond to a common group adapted to drinking water systems. The V6 primers used were subsequently evaluated with a computer algorithm to assess their hybridization efficiency. Potential errors associated with primer-template mismatches and their impacts on taxonomic group detection were investigated. The biodiversity present in all three drinking water samples suggests that the bacterial load of the drinking water leaving treatment plants may play an important role in determining the downstream community dynamics of water distribution networks.