Metagenomic DNA sequencing for semi-quantitative pathogen detection from urine:a prospective, laboratory-based, proof-of-concept study

Autor: Victoria A Janes, Sébastien Matamoros, Patrick Munk, Philip T L C Clausen, Sylvie M Koekkoek, Linda A M Koster, Marja E Jakobs, Bob de Wever, Caroline E Visser, Frank M Aarestrup, Ole Lund, Menno D de Jong, Patrick M M Bossuyt, Daniel R Mende, Constance Schultsz
Přispěvatelé: Graduate School, Medical Microbiology and Infection Prevention, AII - Infectious diseases, 09 Laboratory specialisms, Human Genetics, Epidemiology and Data Science, APH - Methodology, APH - Personalized Medicine, Global Health, APH - Global Health
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Janes, V A, Matamoros, S B, Munk, P, Clausen, P T L C, Koekkoek, S M, Koster, L A M, Jakobs, M E, de Wever, B, Visser, C E, Aarestrup, F M, Lund, O, de Jong, M D, Bossuyt, P M M, Mende, D R & Schultsz, C 2022, ' Metagenomic DNA sequencing for semi-quantitative pathogen detection from urine : a prospective, laboratory-based, proof-of-concept study ', The Lancet Microbe, vol. 3, no. 8, pp. e588-e597 . https://doi.org/10.1016/S2666-5247(22)00088-X
Janes, V A, Matamoros, S, Munk, P, Clausen, P T L C, Koekkoek, S M, Koster, L A M, Jakobs, M E, de Wever, B, Visser, C E, Aarestrup, F M, Lund, O, de Jong, M D, Bossuyt, P M M, Mende, D R & Schultsz, C 2022, ' Metagenomic DNA sequencing for semi-quantitative pathogen detection from urine : a prospective, laboratory-based, proof-of-concept study ', Lancet. Microbe, vol. 3, no. 8, pp. e588-e597 . https://doi.org/10.1016/S2666-5247(22)00088-X
The Lancet. Microbe, 3(8), e588-e597. Elsevier Ltd
The Lancet Microbe, 3(8), e588-e597. Elsevier Ltd
ISSN: 2666-5247
Popis: BackgroundSemi-quantitative bacterial culture is the reference standard to diagnose urinary tract infection, but culture is time-consuming and can be unreliable if patients are receiving antibiotics. Metagenomics could increase diagnostic accuracy and speed by sequencing the microbiota and resistome directly from urine. We aimed to compare metagenomics to culture for semi-quantitative pathogen and resistome detection from urine. MethodsIn this proof-of-concept study, we prospectively included consecutive urine samples from a clinical diagnostic laboratory in Amsterdam. Urine samples were screened by DNA concentration, followed by PCR-free metagenomic sequencing of randomly selected samples with a high concentration of DNA (culture positive and negative). A diagnostic index was calculated as the product of DNA concentration and fraction of pathogen reads. We compared results with semi-quantitative culture using area under the receiver operating characteristic curve (AUROC) analyses. We used ResFinder and PointFinder for resistance gene detection and compared results to phenotypic antimicrobial susceptibility testing for six antibiotics commonly used for urinary tract infection treatment: nitrofurantoin, ciprofloxacin, fosfomycin, cotrimoxazole, ceftazidime, and ceftriaxone. FindingsWe screened 529 urine samples of which 86 were sequenced (43 culture positive and 43 culture negative). The AUROC of the DNA concentration-based screening was 0·85 (95% CI 0·81-0·89). At a cutoff value of 6·0 ng/mL, culture positivity was ruled out with a negative predictive value of 91% (95% CI 87-93; 26 of 297 samples), reducing the number of samples requiring sequencing by 56% (297 of 529 samples). The AUROC of the diagnostic index was 0·87 (95% CI 0·79-0·95). A diagnostic index cutoff value of 17·2 yielded a positive predictive value of 93% (95% CI 85-97) and a negative predictive value of 69% (55-80), correcting for a culture-positive prevalence of 66%. Gram-positive pathogens explained eight (89%) of the nine false-negative metagenomic test results. Agreement of phenotypic and genotypic antimicrobial susceptibility testing varied between 71% (22 of 31 samples) and 100% (six of six samples), depending on the antibiotic tested. InterpretationThis study provides proof-of-concept of metagenomic semi-quantitative pathogen and resistome detection for the diagnosis of urinary tract infection. The findings warrant prospective clinical validation of the value of this approach in informing patient management and care. FundingEU Horizon 2020 Research and Innovation Programme.
Databáze: OpenAIRE
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