Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1195687 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR31644343_1.fastq.gz | Fastqsanger.gz | |||
| SRR31644343_2.fastq.gz | Fastqsanger.gz | |||
| SRR31644344_1.fastq.gz | Fastqsanger.gz | |||
| SRR31644344_2.fastq.gz | Fastqsanger.gz | |||
| SRR31644345_1.fastq.gz | Fastqsanger.gz |
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Project description:Surveillance of Enteric Fever in India (SEFI)
| PRJEB36270 | ENA
Project description:Surveillance of enteric fever in India - S. Paratyphi A
| PRJEB44794 | ENA
Project description:In this study, whole blood samples were used to determine the gene expression of febrile culture confirmed enteric fever cases (ST = S. Typhi; SPT = S. Paratyphi), febrile culture negative individuals presenting to hospital in Kathamandu (sEF = suspected enteric fever), and healthy community controls (CTRL).
2019-09-02 | GSE113866 | GEO
Project description:Background: Salmonella Typhi and Salmonella Paratyphi A are the agents of enteric (typhoid) fever; both can establish chronic carriage in the gallbladder. Chronic Salmonella carriers are typically asymptomatic, intermittently shedding bacteria in the feces, and contributing to disease transmission. Detecting chronic carriers is of public health relevance in areas where enteric fever is endemic, but there are no routinely used methods for prospectively identifying those carrying Salmonella in their gallbladder. Methodology/Principal Findings: Here we aimed to identify biomarkers of Salmonella carriage using metabolite profiling. We performed metabolite profiling on plasma from Nepali patients undergoing cholecystectomy with confirmed S. Typhi or S. Paratyphi A gallbladder carriage (and non-carriage controls) using two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GCxGC-TOFMS) and supervised pattern recognition modeling. We were able to significantly discriminate Salmonella carriage samples from non-carriage control samples. We were also able to detect differential signatures between S. Typhi and S. Paratyphi A carriers. We additionally compared carriage metabolite profiles with profiles generated during acute infection; these data revealed substantial heterogeneity between metabolites associated with acute enteric fever and chronic carriage. Lastly, we found that Salmonella carriers could be significantly distinguished from non-carriage controls using only five metabolites, indicating the potential of these metabolites as diagnostic markers for detecting chronic Salmonella carriers. Conclusions/Significance: Our novel approach has highlighted the potential of using metabolomics to search for diagnostic markers of chronic Salmonella carriage. We suggest further epidemiological investigations of these potential biomarkers in alternative endemic enteric fever settings.
2018-01-17 | MTBLS579 | MetaboLights
Project description:This studies describes the transcriptional response in whole blood derived from healthy adult volunteers experimentally infected with S. Paratyphi A. Samples were collected at pre-challenge baseline (Group: CTRL), at day 7 after challenge in those participants who stayed well over 14 days following challenge (Group: suspected Enteric Fever - sEF). Participants who developed signs of enteric fever were sampled at the time of inititiation of antibiotics (Group: EF).In this group diagnosis was confirmed by blood culture positive for S. Paratyphi (SPT). Antibiotic therapy commenced at time of diagnosis or at day 14 after challenge in those who did not develop symptoms. The clinical results of this study have been published in: Dobinson et al. Evaluation of the Clinical and Microbiological Response to Salmonella Paratyphi A Infection in the First Paratyphoid Human Challenge Model. Clin Infect Dis. 2017 Apr 15;64(8):1066-1073.
2019-09-02 | GSE114033 | GEO
Project description:Salmonella is an important enteric pathogen that causes a spectrum of diseases varying from mild gastroenteritis to life threatening typhoid fever. Salmonella does not have lac operon. However, E. Coli, Salmonella’s close relative, has lac operon. Being an enteric pathogen like E. coli, Salmonella will also benefit from lac operon. Then, why Salmonella has lost lac operon?. To address this question, lacI, an important component of lac operon was expressed in Salmonella via pTrc99A plasmid. As a control, pTrc99A without lacI was also expressed in Salmonella. The effect of LacI on the transcription profile of Salmonella was analyzed using microarray technique.
2009-05-07 | GSE15950 | GEO
Project description:<p>The study of antimicrobial resistance (AMR) in infectious diarrhea has generally been limited to cultivation, antimicrobial susceptibility testing and targeted PCR assays. When individual strains of significance are identified, whole genome shotgun (WGS) sequencing of important clones and clades is performed. Genes that encode resistance to antibiotics have been detected in environmental, insect, human and animal metagenomes and are known as "resistomes". While metagenomic datasets have been mined to characterize the healthy human gut resistome in the Human Microbiome Project and MetaHIT and in a Yanomani Amerindian cohort, directed metagenomic sequencing has not been used to examine the epidemiology of AMR. Especially in developing countries where sanitation is poor, diarrhea and enteric pathogens likely serve to disseminate antibiotic resistance elements of clinical significance. Unregulated use of antibiotics further exacerbates the problem by selection for acquisition of resistance. This is exemplified by recent reports of multiple antibiotic resistance in Shigella strains in India, in Escherichia coli in India and Pakistan, and in nontyphoidal Salmonella (NTS) in South-East Asia. We propose to use deep metagenomic sequencing and genome level assembly to study the epidemiology of AMR in stools of children suffering from diarrhea. Here the epidemiology component will be surveillance and analysis of the microbial composition (to the bacterial species/strain level where possible) and its constituent antimicrobial resistance genetic elements (such as plasmids, integrons, transposons and other mobile genetic elements, or MGEs) in samples from a cohort where diarrhea is prevalent and antibiotic exposure is endemic. The goal will be to assess whether consortia of specific mobile antimicrobial resistance elements associate with species/strains and whether their presence is enhanced or amplified in diarrheal microbiomes and in the presence of antibiotic exposure. This work could potentially identify clonal complexes of organisms and MGEs with enhanced resistance and the potential to transfer this resistance to other enteric pathogens.</p> <p>We have performed WGS, metagenomic assembly and gene/protein mapping to examine and characterize the types of AMR genes and transfer elements (transposons, integrons, bacteriophage, plasmids) and their distribution in bacterial species and strains assembled from DNA isolated from diarrheal and non-diarrheal stools. The samples were acquired from a cohort of pediatric patients and controls from Colombia, South America where antibiotic use is prevalent. As a control, the distribution and abundance of AMR genes can be compared to published studies where resistome gene lists from healthy cohort sequences were compiled. Our approach is more epidemiologic in nature, as we plan to identify and catalogue antimicrobial elements on MGEs capable of spread through a local population and further we will, where possible, link mobile antimicrobial resistance elements with specific strains within the population.</p>
| phs001260 | dbGaP
Project description:The whole blood transcriptome 12 hours after challenge with S. Paratyphi A. Samples were collected in a study aiming to find the challenge dose giving a 60-75% attack rate, published in Dobinson et al. PMID: 28158395. Participants were challenged with S. Paratyphi A NVGH308 strain suspended in sodium bicarbonate. Enteric fever was diagnosed based on oral temperature or positive blood culture. Participants were treated with antibiotics either following diagnosis or 14 days without diagnosis. Paired baseline samples are available under Series GSE114033.
2025-01-01 | GSE224006 | GEO