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Dataset results
429 results for “Bacterial infection”
Single-cell RNA sequencing analysis of HUVEC in monolayer alone or exposed to (bacterially-infected) macrophage-like U937 cells for 8 h.
GEO Series GSE312719. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Biomarker-based classification of bacterial and fungal whole-blood infections in a genome-wide expression study
GEO Series GSE65088. Homo sapiens. 57 samples. Type: Expression profiling by array.
Specific CD4+ T cell phenotypes associate with bacterial control in people who ‘resist’ infection with Mycobacterium tuberculosis
GEO Series GSE267774. Homo sapiens. 3076 samples. Type: Expression profiling by high throughput sequencing.
Data from: The effect of diet and time after bacterial infection on fecundity, resistance, and tolerance in Drosophila melanogaster
Mounting and maintaining an effective immune response in the face of infection can be costly. The outcome of infection depends on two host immune strategies: resistance and tolerance. Resistance limits pathogen load, while tolerance reduces the fitness impact of an infection. While resistance strategies are well studied, tolerance has received less attention, but is now considered to play a vital role in host–pathogen interactions in animals. A major challenge in ecoimmunology is to understand how some hosts maintain their fitness when infected while others succumb to infection, as well as how extrinsic, environmental factors, such as diet, affect defense. We tested whether dietary restriction through yeast (protein) limitation affects resistance, tolerance, and fecundity in Drosophila melanogaster. We predicted that protein restriction would reveal costs of infection. Because infectious diseases are not always lethal, we tested resistance and tolerance using two bacteria with low lethality: Escherichia coli and Lactococcus lactis. We then assayed fecundity and characterized bacterial infection pathology in individual flies at two acute phase time points after infection. As expected, our four fecundity measures all showed a negative effect of a low-protein diet, but contrary to predictions, diet did not affect resistance to either bacteria species. We found evidence for diet-induced and time-dependent variation in host tolerance to E. coli, but not to L. lactis. Furthermore, the two bacteria species exhibited remarkably different infection profiles, and persisted within the flies for at least 7 days postinfection. Our results show that acute phase infections do not necessarily lead to fecundity costs despite high bacterial loads. The influence of intrinsic variables such as genotype are the prevailing factors that have been studied in relation to variation in host tolerance, but here we show that extrinsic factors should also be considered for their role in influencing tolerance strategies.
Enemies make you stronger: Coevolution between fruit fly host and bacterial pathogen increases post-infection survivorship in the host
<p>Multiple laboratory studies have evolved hosts against a non-evolving pathogen to address questions about evolution of immune responses. However, an ecologically more relevant scenario is one where hosts and pathogens can coevolve. Such coevolution between the antagonists, depending on the mutual selection pressure and additive variance in the respective populations, can potentially lead to a different pattern of evolution in the hosts compared to a situation where the host evolves against a non-evolving pathogen. In the present study, we used <em>Drosophila melanogaster</em> as the host and <em>Pseudomonas entomophila</em> as the pathogen. We let the host populations to either evolve against a non-evolving pathogen, or coevolve with the same pathogen. We found that the coevolving hosts on average evolved higher survivorship against the coevolving pathogen and ancestral (non-evolving) pathogen relative to the hosts evolving against a non-evolving pathogen. The coevolving pathogens evolved greater ability to induce host mortality even in non-local (novel hosts) hosts compared to infection by an ancestral (non-evolving) pathogen. Thus, our results clearly show that the evolved traits in the host and the pathogen under coevolution can be different from one-sided adaptation. In addition, our results also show that the coevolving host-pathogen interactions can involve certain general mechanisms in the pathogen, leading to increased mortality induction in non-local or novel hosts. </p>
Figure 8 in New host detection of the parasitic mite, Erythraeus pistacicus (Trombidiformes: Erythraeidae) from Iran and indication of possible infection with bacterial symbionts
Figure 8. Haplotype network of Planomicrobium spp. based on 16S rDNA sequences.
Specific CD4+ T cell phenotypes associate with bacterial control in people who 'resist' infection with Mycobacterium tuberculosis
<p>The repository contains the processed Seurat object generated from SELECT-seq data of ESAT-6/CFP-10-specific T cells sorted from PBMC of household contacts of sputum culture-positive cases of pulmonary TB (four subjects with latent TB infection (LTBI) and three <em>M. tuberculosis </em>'resisters' (RSTR)).</p> <p>Information on how the Seurat object was analyzed can be found in this GitHub respository: https://github.com/ttsunmeng/TB_RSTR_ESAT6CFP10_SelectSeq_analysis_pipeline.</p> <p>The full details of this cohort have been previously published here:</p> <ul> <li>Stein, C.M., et al. Long-term Stability of Resistance to Latent Mycobacterium tuberculosis Infection in Highly Exposed Tuberculosis Household Contacts in Kampala, Uganda. Clin Infect Dis 68, 1705-1712 (2019).</li> <li>Stein, C.M., et al. Resistance and Susceptibility to Mycobacterium tuberculosis Infection and Disease in Tuberculosis Households in Kampala, Uganda. Am J Epidemiol 187, 1477-1489 (2018).</li> </ul>
Bacterial Sexually Transmitted Infections (STIs) Viability by Polymerase Chain Reaction (PCR)
ClinicalTrials.gov study NCT05959408. IPD Sharing: NO. Countries: 1. Publications: 0.
Molecular Diagnostics of Bacterial Infections and Antibiotic Resistance in Blood Samples and Rectal Swabs Using Real Time PCR-ARES PCR Methods
ClinicalTrials.gov study NCT06308692. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pharmacokinetic and Safety Study of Metronidazole Oral Suspension in Pediatric Patients With Anaerobic Bacterial Infection
ClinicalTrials.gov study NCT07146217. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Procalcitonin for Predicting Serious Bacterial Infection in Infants Less Than 3 Months
ClinicalTrials.gov study NCT00800488. IPD Sharing: Not stated. Countries: 1. Publications: 0.
CommunautAry Pediatric bacteRial Infection in Intensive CarE Unit
ClinicalTrials.gov study NCT06260345. IPD Sharing: Not stated. Countries: 1. Publications: 0.
UROGEN WELL D-ONE : Evaluation of a Novel Diagnostic for Sexually Transmitted Bacterial Infections
ClinicalTrials.gov study NCT04182230. IPD Sharing: NO. Countries: 1. Publications: 0.
The Efficacy and Safety of Daptomycin in the Treatment of Gram-positive Bacterial Infection.
ClinicalTrials.gov study NCT04546815. IPD Sharing: NO. Countries: 1. Publications: 0.
Exposure to NSAIDs (Non Steroidal Anti-Inflammatory Drugs) and Severity of Community-acquired Bacterial Infections
ClinicalTrials.gov study NCT02794831. IPD Sharing: NO. Countries: 0. Publications: 0.
Distinguishing Bacterial and Viral Infections by MeMed BV® Test to Limit Gut Colonization by MDRO
ClinicalTrials.gov study NCT05897801. IPD Sharing: NO. Countries: 1. Publications: 0.
COMPArative Study of the Consequence on innaTe Immune Response du to Bacterial or Viral Infection in Patients Admitted to Intensive Care Unit
ClinicalTrials.gov study NCT05671159. IPD Sharing: NO. Countries: 1. Publications: 0.
A Post-Marketing Study to Assess the Efficacy and Safety of Intravenous Polymyxin B and Colistin Methanesulfonate in Patients With Carbapenem-Resistant Gram-Negative Bacterial Infection
ClinicalTrials.gov study NCT06966284. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Open Label, Dose-finding, Pharmacokinetics, Safety and Tolerability Study of Oritavancin in Pediatric Participants With Suspected or Confirmed Bacterial Infections
ClinicalTrials.gov study NCT02134301. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Human and Bacterial Protease Activity As Prognostic Tool of Foot Infections in Diabetic Patients
ClinicalTrials.gov study NCT03964571. IPD Sharing: NO. Countries: 1. Publications: 0.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.