Urinary Microbiome Sequencing Approaches

  • Research type

    Research Study

  • Full title

    Quantitative mapping of the microbiome and resistome in urinary tract infection among women: a pump-priming interdisciplinary study.

  • IRAS ID

    287821

  • Contact name

    Amal Gadalla

  • Contact email

    GadallaA1@cardiff.ac.uk

  • Sponsor organisation

    Cardiff University

  • Clinicaltrials.gov Identifier

    AC1150IF02 , ISSF Project Reference Number

  • Duration of Study in the UK

    1 years, 4 months, 30 days

  • Research summary

    Title: bacterial DNA reading approaches to identify bacterial communities and their antibiotics resistance genes in urinary tract infections (UTI).
    UTI is one of the most common infections in the community, particularly among women. Poor response (resistance) to the most commonly used antibiotics has reached 34%. Routine microbiology does not reveal a causative agent for all patients with UTI symptoms. Identification of the whole bacterial population (microbiome) in urine that is not usually detectable by routine microbiology testing (bacterial culture), but detectable by DNA reading technologies (sequencing) might help the diagnosis of UTI. In the near future research, we are interested in investigating the individuals’ bacterial microbiome variation over time, specifically the prolonged carriage of antibiotic resistant bacteria. The current proposed study is a pilot study to determine the most appropriate DNA sequencing methods to use in larger studies. Here we will identify the best bacterial DNA sequencing methods to describe the bacterial microbiome and its antibiotic resistance profile (resistome) present in human urine. We will target bacteria not only floating in the urine but also bacteria within the human cells that are normally shed in urine. We will apply advanced DNA sequencing to compare two approaches; 1) direct testing using extracted bacterial DNA from urine and 2) indirect by using DNA extracted from bacteria grown after the routine microbiology culture of urine. Using advanced computational technology, we will then identify the bacterial microbiome and genes associated with antibiotic resistance in these samples. To achieve these objectives, we will be utilizing surplus urine samples and its bacterial isolates stored at the Microbiology Laboratory at Public Health Wales (PHW). Urine samples will be from non-identifiable patients with UTI symptoms who had either positive or negative urine culture.

  • REC name

    East Midlands - Leicester Central Research Ethics Committee

  • REC reference

    21/EM/0056

  • Date of REC Opinion

    22 Feb 2021

  • REC opinion

    Favourable Opinion