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429 results for “Bacterial infection”
Supplementary materials. Publication "Three-way relationships between gut microbiota, helminth assemblages and bacterial infections in wild rodent populations" by Bouilloud et al.
<p><strong>Supplementary information</strong></p> <p><strong>Supplementary Figure S1</strong>. Maps showing the sampling area (left) and localities (right) in France. Forests are indicated in green and water in blue. The four sampling localities are represented with a colored polygon. The arrow indicates the North.</p> <p> </p> <p><strong>Supplementary Figure S2</strong>. Composition of the gut bacteriota. The relative abundance of six phyla representing 99% of the total composition is represented. Individuals are grouped by sampling localities, which are ordered from North to South. (A) Bar graph shows individual variation in phyla composition (phylum=color). (B) Box and whisker plots represent median and interquartile values for each phylum. Black dots correspond to mean values, and colored dots correspond to individuals.</p> <p> </p> <p><strong>Supplementary Figure S3</strong>. Variations of alpha diversity with individual factors, for the gut bacteriota (family level), pathogenic bacteria and gastro-intestinal helminths of bank voles. Alpha diversity is estimated using the specific richness (A, B and C) and the Shannon index (D, E and F). In graphs C and F, the blue line corresponds to the linear regression line.</p> <p> </p> <p><strong>Supplementary Figure S4</strong>. Relationships between the composition of the gut bacteriota, pathogenic bacteria and gastro-intestinal helminth communities: The db-RDA triplot shows the structure of the gut bacteriota at the phylum level and the correlations with the intra-host parasite communities. The arrows correspond to the significant explanatory variables. Each point corresponds to an individual, and the colors correspond to the different sampling localities.</p> <p> </p> <p><strong>Supplementary Table S1. </strong>Variation of the Firmicutes/Bacteroidetes ratio with localities and individual factors.</p> <p> </p> <p><strong>Supplementary Table S2. </strong>Alpha diversity metrics and statistics for the gut bacteriota, pathogenic bacteria and helminth communities of bank voles.</p> <p> </p> <p><strong>Supplementary Table S3. </strong>Beta diversity metrics and statistics for the gut bacteriota, pathogenic bacteria and helminth communities of bank voles</p>
Supplemental files for manuscript "The circulating phageome reflects bacterial infections"
<p>These are the supplemental files associated with the manuscript "The circulating phageome reflects bacterial infections". These include:</p> <p>1. Supplemental File 1 (Phage Dictionary).csv which is a dictionary connecting bacteriophage accession numbers to their known taxonomic data as well as the taxonomic data of their host if known.</p> <p>2. Supplemental File 2 (Coliphage Characteristics).csv which is a dictionary for phages which infect <em>Escherichia coli</em> including host information to strain if known and characteristics of any known strains.</p> <p>3. Supplemental File 3 (Metadata).xlsx which includes a metadata table for the plasma cfDNA samples sequenced in the associated study, including infection etiology.</p> <p>4. Supplemental File 4 (Negative Controls).xlsx which includes the sequences and identities of short reads from our negative sequencing controls (PBS, Water)</p>
R scripts for manuscript "The circulating phageome reflects bacterial infections"
<p>These are documents and an R script associated with the manuscript "The circulating phageome reflects bacterial infections".</p> <p>These include:</p> <p>1. allphagedf_seqids.csv which is a table including number of BLAST hits to unique phage Genbank IDs by sample. The samples used in this table are the 71 (61 septic, 10 asymptomatic controls) sequenced in this study. The rows of this table correspond to samples (rownames are library IDs) and columns correspond to all identified phage Genbank IDs from the blast output.</p> <p>2. Phageome Summaries.RMD which is an R markdown document which demonstrates i) processing of blast output into a new allphagedf_seqids document, ii) use of the phage dictionary to summarize representation of phage taxonomic families as well as host genuses, and iii) use of the coliphage dictionary to assess how E. coli phages represent known host bacterial characteristics across samples.</p> <p>3. Readme.txt which summarizes the above as well as provides links to other relevant data.</p>
SomaScan dataset used to identify protein biomarkers for distinguishing between bacterial and viral infections in febrile children
<p>Protein profiles of children with confirmed bacterial infections (DB), confirmed viral infections (DV) in addition to healthy controls (HC). Protein profiles generated through the SomaScan 1.3k assay (SomaLogic, Colorado, USA).</p> <p>Data has been normalised already, including batch effect correction using COCONUT (https://cran.r-project.org/web/packages/COCONUT/COCONUT.pdf) and log2 transformed. </p> <p>Accompanying the protein abundance values is a separate .csv file containing information about the proteins, including UniProt ID and Entrez gene IDs associated with the proteins.</p>
LC-MS/MS plasma protein measurements from children with bacterial and viral infections - "MS-A"
<p>LC-MS/MS data generated from plasma samples from children with bacterial and viral infections. </p>
LC-MS/MS plasma protein measurements from children with bacterial and viral infections - "MS-B"
<p>LC-MS/MS data generated from plasma samples from children with bacterial and viral infections. </p>
Complete bacterial assemblies for 'Enterobacterales plasmid sharing amongst human bloodstream infections, livestock, wastewater, and waterway niches in Oxfordshire, UK'
<p>Complete bacterial assemblies from the journal article 'Matlock, William, et al. "<em>Enterobacterales</em> plasmid sharing amongst human bloodstream infections, livestock, wastewater, and waterway niches in Oxfordshire, UK." <em>Elife</em> 12 (2023): e85302.'</p> <p>'assemblies.zip' contains assemblies for <em>n</em>=1,458 isolates with circularised chromosomes and <em>n</em>=3,697 circularised plasmids.</p> <p><strong>If you use this data please cite the journal article <em>and</em> the Zenodo DOI. </strong></p>
Data from: Negative interactions and virulence differences drive the dynamics in multispecies bacterial infections
<p>Bacterial infections are often polymicrobial, leading to intricate pathogen-pathogen and pathogen-host interactions. There is increasing interest in studying the molecular basis of pathogen interactions and how such mechanisms impact host morbidity. However, much less is known about the ecological dynamics between pathogens and how they affect virulence and host survival. Here we address these open issues by co-infecting larvae of the insect model host <em>Galleria mellonella</em> with one, two, three, or four bacterial species, all of which are opportunistic human pathogens. We found that host mortality was always determined by the most virulent species regardless of the number of species and pathogen combinations injected. In certain combinations, the more virulent pathogen simply outgrew the less virulent pathogen. In other combinations, we found evidence for negative interactions between pathogens inside the host, whereby the more virulent pathogen typically won a competition. Taken together, our findings reveal positive associations between a pathogen's growth inside the host, its competitiveness towards other pathogens, and its virulence. Beyond being generalizable across species combinations, our findings predict that treatments against polymicrobial infections should first target the most virulent species to reduce host morbidity, a prediction we validated experimentally.</p>
TR-701 FA vs Linezolid for the Treatment of Acute Bacterial Skin and Skin Structure Infections
ClinicalTrials.gov study NCT01421511. IPD Sharing: YES. Countries: 11. Publications: 6.
Ceftobiprole in the Treatment of Patients With Acute Bacterial Skin and Skin Structure Infections
ClinicalTrials.gov study NCT03137173. IPD Sharing: NO. Countries: 4. Publications: 2.
A Study of Safety and Efficacy of MK-1986 (Tedizolid Phosphate) and Comparator in Participants From Birth to Less Than 12 Years of Age With Acute Bacterial Skin and Skin Structure Infections (MK-1986-
ClinicalTrials.gov study NCT03176134. IPD Sharing: YES. Countries: 14. Publications: 1.
Study Comparing the Safety and Efficacy of Two Doses of BC-3781 vs Vancomycin in Patients With Acute Bacterial Skin and Skin Structure Infection (ABSSSI)
ClinicalTrials.gov study NCT01119105. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study to Assess Objective Endpoint Measurements of Response in Bacterial Skin Infections
ClinicalTrials.gov study NCT01283581. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Efficacy and Safety of Intravenous to Oral 6-Day Tedizolid Phosphate vs. Intravenous to Oral 10-Day Linezolid in Patients With Acute Bacterial Skin and Skin Structure Infection (ABSSSI)
ClinicalTrials.gov study NCT02066402. IPD Sharing: Not stated. Countries: 4. Publications: 1.
Dose-Ranging Study of GSK2140944 in the Treatment of Subjects With Suspected or Confirmed Gram-Positive Acute Bacterial Skin and Skin Structure Infections
ClinicalTrials.gov study NCT02045797. IPD Sharing: YES. Countries: 1. Publications: 2.
Evaluation of a New Critical Pathway for Treatment of Acute Bacterial Skin and Skin Structure Infections (ABSSSI)
ClinicalTrials.gov study NCT02961764. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Zenyth: Motivational Interviewing-based Telehealth Intervention for Bacterial Sexually Transmitted Infection Screening
ClinicalTrials.gov study NCT06100250. IPD Sharing: YES. Countries: 1. Publications: 1.
Single Dose vs. Two Dose Regimen of Dalbavancin for the Treatment of Acute Bacterial Skin and Skin Structure Infections
ClinicalTrials.gov study NCT02127970. IPD Sharing: Not stated. Countries: 12. Publications: 3.
Oritavancin Versus IV Vancomycin for the Treatment of Participants With Acute Bacterial Skin and Skin Structure Infection (SOLO I)
ClinicalTrials.gov study NCT01252719. IPD Sharing: Not stated. Countries: 1. Publications: 3.
TR-701 FA vs. Linezolid for the Treatment of Acute Bacterial Skin and Skin Structure Infections.
ClinicalTrials.gov study NCT01170221. IPD Sharing: YES. Countries: 11. Publications: 7.
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International Brain Laboratory public data
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OpenNeuro
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