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Advantage of precision metagenomics for urinary tract infection diagnostics.
Almas, Sadia; Carpenter, Rob E; Rowan, Chase; Tamrakar, Vaibhav K; Bishop, Joseph; Sharma, Rahul.
Affiliation
  • Almas S; Department of Research, Advanta Genetics, Tyler, TX, United States.
  • Carpenter RE; Department of Research, Advanta Genetics, Tyler, TX, United States.
  • Rowan C; Soules College of Business, University of Texas at Tyler, Tyler, TX, United States.
  • Tamrakar VK; Department of Research, Advanta Genetics, Tyler, TX, United States.
  • Bishop J; Divison of Communicable Diseases, ICMR-National Institute of Research in Tribal Health, Jabalpur, India.
  • Sharma R; Department of Research, RetroBioTech LLC, Coppell, TX, United States.
Front Cell Infect Microbiol ; 13: 1221289, 2023.
Article in En | MEDLINE | ID: mdl-37469596
ABSTRACT

Background:

Urinary tract infections (UTIs) remain a diagnostic challenge and often promote antibiotic overuse. Despite urine culture being the gold standard for UTI diagnosis, some uropathogens may lead to false-negative or inconclusive results. Although PCR testing is fast and highly sensitive, its diagnostic yield is limited to targeted microorganisms. Metagenomic next-generation sequencing (mNGS) is a hypothesis-free approach with potential of deciphering the urobiome. However, clinically relevant information is often buried in the enormous amount of sequencing data.

Methods:

Precision metagenomics (PM) is a hybridization capture-based method with potential of enhanced discovery power and better diagnostic yield without diluting clinically relevant information. We collected 47 urine samples of clinically suspected UTI and in parallel tested each sample by microbial culture, PCR, and PM; then, we comparatively analyzed the results. Next, we phenotypically classified the cumulative microbial population using the Explify® data analysis platform for potential pathogenicity.

Results:

Results revealed 100% positive predictive agreement (PPA) with culture results, which identified only 13 different microorganisms, compared to 19 and 62 organisms identified by PCR and PM, respectively. All identified organisms were classified into phenotypic groups (0-3) with increasing pathogenic potential and clinical relevance. This PM can simultaneously quantify and phenotypically classify the organisms readily through bioinformatic platforms like Explify®, essentially providing dissected and quantitative results for timely and accurate empiric UTI treatment.

Conclusion:

PM offers potential for building effective diagnostic models beyond usual care testing in complex UTI diseases. Future studies should assess the impact of PM-guided UTI management on clinical outcomes.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urinary Tract Infections / Metagenomics Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Front Cell Infect Microbiol Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urinary Tract Infections / Metagenomics Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Front Cell Infect Microbiol Year: 2023 Document type: Article Affiliation country: United States