ArticleFrontiers in cellular and infection microbiology2023
Advantage of precision metagenomics for urinary tract infection diagnostics.
Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Molecular based diagnostic testing for urinary tract infections: the results remain unclear.World journal of urology · 2026Pooled it
- Exploring the clinical and diagnostic value of metagenomic next-generation sequencing for urinary tract infection: a systematic review and meta-analysis.BMC infectious diseases · 2024Pooled it
- Rethinking Vaginal Microbiome Resilience: A Conceptual Multi-Omic Framework.Microorganisms · 2026Review
- Investigation of atypical microbial agents in patients with sterile pyuria.Annals of clinical microbiology and antimicrobials · 2026Article
- Programmable CRISPR-Cas diagnostic platforms for rapid detection of uropathogens and antimicrobial resistance.Archives of microbiology · 2026Review
- Metagenomic and Targeted Next-Generation Sequencing in Infectious Disease Diagnostics: Current Applications, Challenges, and Future Perspectives.Diagnostics (Basel, Switzerland) · 2026Review
- Enrichment techniques for clinical metagenomics.Frontiers in cellular and infection microbiology · 2026Review
- Analytical validation of a metagenomic next-generation diagnostic platform for urinary tract infection in a Thai tertiary hospital setting: a BI-Biotia UTI cohort study.Frontiers in cellular and infection microbiology · 2026Article
- Metagenomic sequencing enables accurate pathogen and antimicrobial susceptibility profiling in complicated UTIs in approximately four hours.Nature communications · 2025Article
- A Review on the Current and Future State of Urinary Tract Infection Diagnostics.International journal of molecular sciences · 2025Review
- Dataset for comparative analysis of precision metagenomics and traditional methods in urinary tract infection diagnostics.Data in brief · 2025Article
- Exploring urinary microbiome: insights into neurogenic bladder and improving management of urinary tract infections.Frontiers in cellular and infection microbiology · 2025Review
- Probe-based metagenomic pathogen detection: advancing laboratory capacity for complex diagnosis.Frontiers in microbiology · 2025Article
- Dataset for a validated method of non-invasive urine collection using sodium polyacrylate-based diapers for PCR detection of uropathogens.Data in brief · 2024Article
- Current and emerging strategies to curb antibiotic-resistant urinary tract infections.Nature reviews. Urology · 2024Review
- Biomarkers for urinary tract infection: present and future perspectives.Pediatric nephrology (Berlin, Germany) · 2024Review
- Comparison of polymerase chain reaction and next-generation sequencing with conventional urine culture for the diagnosis of urinary tract infections: A meta-analysis.Open medicine (Warsaw, Poland) · 2024Article
- The Importance of Diagnostics in the Treatment of Urinary Tract Infections in the United Kingdom.Research and reports in urology · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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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