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83 results for “Cheese”
Vitamin D Fortified Cheese and Well-being in the Institutionalized Elderly
ClinicalTrials.gov study NCT01555424. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Effect of Milk and Cheese on Fecal Fat Excretion and Blood Lipid
ClinicalTrials.gov study NCT01317251. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Assessment of Dietary Biomarkers and Metabolic Effects After the Intake of Milk and Cheese
ClinicalTrials.gov study NCT02705560. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Study of the Impact of Cheese Matrix on Postprandial Lipemia: a Clinical Study
ClinicalTrials.gov study NCT02623790. IPD Sharing: NO. Countries: 1. Publications: 1.
Controlled Clinical Study to Determine Novel Health Benefits of Cheese Consumption
ClinicalTrials.gov study NCT02918422. IPD Sharing: YES. Countries: 1. Publications: 1.
Effects of White Wine vs. Tea Intake During and an Alcoholic Digestive Following a High Fat, High Calorie Cheese Fondue Meal on Gastric Emptying and Abdominal Symptoms in Healthy Volunteers
ClinicalTrials.gov study NCT00943696. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Induction of sexual reproduction and genetic diversity in the cheese fungus Penicillium roqueforti
Open the record for dataset details and reuse information.
Supplementary material 1 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502
QRA simulator
Figure 6 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502
Figure 6 The relative batch risk (with respect to a baseline risk value) is plotted as a function of the initial STEC (main pathogenic serotypes MPS-STEC) concentration (CFU/ml).
Figure 5 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502
Figure 5 Batch rejection probability as a function of the initial STEC (main pathogenic serotypes MPS-STEC) concentration (CFU/ml).
Figure 4 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502
Figure 4 Evolution of STEC colony size during draining, salting and ripening of cheese fabrication. The decline rate for the MPS O157:H7 strain and non-MPS strains are equal (orange line) and significantly higher than the decline rate of MPS non-O157:H7 strain (red line). The three phases, namely, draining, salting and ripening are separated by vertical blue dotted lines.
Figure 3 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502
Figure 3 Evolution of STEC (main pathogenic serotypes MPS-STEC) in log10 CFU/ml during the storage and moulding step. The blue vertical line shows the end of the storage phase.
Figure 2 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502
Figure 2 Histogram of STEC (main pathogenic serotypes MPS-STEC) concentration (log10 (CFU/ml)) in milk put into production.
Figure 1 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502
Figure 1 Schematic diagram of the batch level simulator of the risk assessment model. Modules are denoted by pink coloured boxes with the blue boxes denoting the set of corresponding input parameters \documentclass[12pt]{standalone} \usepackage{varwidth} \usepackage[utf8x]{inputenc} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath, amssymb, graphics, setspace} \newcommand{\mathsym}[1]{{}} \newcommand{\unicode}[1]{{}} \newcounter{mathematicapage} \begin{document} \begin{varwidth}{50in} \begin{equation*} \theta = \{\theta^{\rm farm}, \theta^{\rm cheese}, \theta^{\rm con}, \theta^{\rm post}\} \end{equation*} \end{varwidth} \end{document} and the orange boxes denoting the outputs, namely, milk loss per batch \documentclass[12pt]{standalone} \usepackage{varwidth} \usepackage[utf8x]{inputenc} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath, amssymb, graphics, setspace} \newcommand{\mathsym}[1]{{}} \newcommand{\unicode}[1]{{}} \newcounter{mathematicapage} \begin{document} \begin{varwidth}{50in} \begin{equation*} M^{\rm batch} \end{equation*} \end{varwidth} \end{document} , probability of rejecting a particular batch \documentclass[12pt]{standalone} \usepackage{varwidth} \usepackage[utf8x]{inputenc} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath, amssymb, graphics, setspace} \newcommand{\mathsym}[1]{{}} \newcommand{\unicode}[1]{{}} \newcounter{mathematicapage} \begin{document} \begin{varwidth}{50in} \begin{equation*} P^{\rm batch} \end{equation*} \end{varwidth} \end{document} and batch risk \documentclass[12pt]{standalone} \usepackage{varwidth} \usepackage[utf8x]{inputenc} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath, amssymb, graphics, setspace} \newcommand{\mathsym}[1]{{}} \newcommand{\unicode}[1]{{}} \newcounter{mathematicapage} \begin{document} \begin{varwidth}{50in} \begin{equation*} R^{\rm batch} \end{equation*} \end{varwidth} \end{document} .
HiPR-FISH Spatial Mapping of Cheese Rind Microbial Communities
<p>This dataset is associated with this HiPR-FISH Spatial Mapping of Cheese Rind Microbial Communities pub from Arcadia Science.</p> <p>HiPR-FISH spatial imaging was used to look at the distribution of microbes within five distinct microbial communities growing on the surface of aged cheeses. Probe design and imaging was performed by Kanvas Biosciences. </p> <p>This dataset includes the following:</p> <ul> <li>For each field of view (roughly 135µm x 135µm; 7 FOVs per each cheese specimen): <ul> <li>A fluorescence intensity image (*_spectral_max_projection.png/.tif).</li> <li>A pseudo-colored microbe-labeled image (*_identification.png/.tif).</li> <li>A data frame contains each identified microbe's identity, position, and size (*_cell_information.csv).</li> <li>A segmented mask for microbiota (*_segmentation.png/.tif)</li> <li>A spatial proximity graph for each species close to each other, showing the spatial enrichment over random distribution (*_spatialheatmap.png).</li> <li>A corresponding data frame used to generate the spatial proximity graph (*_absolute_spatial_association.csv) and dataframe for the average of 500 random shuffles of the taxa (*_randomized_spatial_association_matrix.csv). </li> </ul> </li> <li>For each cheese specimen: <ul> <li>A widefield image with FOVs located on the image (*_WF_overlay.png).</li> </ul> </li> <li>In general: <ul> <li>A png showing the color legend for each species. (ARC1_taxa_color_legend.png)</li> <li>A data frame showing the environmental location of each FOV in the cheese (RIND/CURD) and the location of each FOV relative to FOV 1. (ARC1_Cheese_Map.csv).</li> <li>A vignette showing an example of each cell and its false coloring according to its taxonomic identification (ARC1_detected_species_representative_cell_vignette.png).</li> <li>Sequences used as input in probe design (16S_18S_forKanvas.fasta).</li> <li>A CSV file containing the sequences that belong to each ASV (ARC1_sequences_to_ASVs.csv).</li> <li>Plots of log-transformed counts for each microbe detected across all FOVs, and broken down for each cheese (*detected_species_absolute_abundance.png).</li> <li>CSVs containing pairwise correlation of FOVs based on spatial association (ARC1_spatial_association_FOV_correlation.csv) and microbial abundance (ARC1_abundance_FOV_correlation.csv).</li> <li>Plots of spatial association matrices, aggregated for different cheeses and different locations (RIND vs CURD) (*samples_*loc_relative_spatial_association.png).</li> <li>CSV containing the principle component coordinates for each FOV (ARC1_abundance_FOV_PCA.csv, ARC1_spatial_association_FOV_PCA.csv).</li> <li>CSV containing the mean fold-change in number of edges between each ASV and the corresponding p-value when compared to the null state (random spatial association matrices) (ARC1_spatial_enrichment_significance.csv).</li> </ul> </li> </ul>
Honeybee Cheese Burger
Source: Objaverse 1.0 / Sketchfab
Daily Dose Estimation of Jarlsberg Cheese in Healthy Norwegian Elderly Male and Female
ClinicalTrials.gov study NCT05434806. IPD Sharing: YES. Countries: 1. Publications: 0.
Gene expression of the bacterium Glutamicibacter arilaitensis when grown with Penicillium in cheese
GEO Series GSE112092. Glutamicibacter arilaitensis. 8 samples. Type: Expression profiling by high throughput sequencing.
Figure 7 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502
Figure 7 Output module.
Blood and Muscle Response to Cheddar Cheese in Healthy Adults
ClinicalTrials.gov study NCT04660877. IPD Sharing: NO. Countries: 1. Publications: 0.
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