Evidence map›Paper›PMID 41339341›Full record

ArticleNature communications2025

Metagenomic sequencing enables accurate pathogen and antimicrobial susceptibility profiling in complicated UTIs in approximately four hours.

Anurag Basavaraj Bellankimath, Sverre Branders, Isabell Kegel, Jawad Ali, Fatemeh Asadi, Truls E Bjerklund Johansen, Can Imirzalioglu, Torsten Hain, Florian Wagenlehner, Rafi Ahmad

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Anurag Basavaraj Bellankimath *Department of Biotechnology, University of Inland Norway, Hamar, Norway.
Sverre Branders *Department of Biotechnology, University of Inland Norway, Hamar, Norway.ORCID http://orcid.org/0009-0007-6493-8144
Isabell KegelInstitute of Medical Microbiology, Medical Microbiome-Metagenome Unit (M3U), Justus Liebig University Giessen, Giessen, Germany.
Jawad AliDepartment of Biotechnology, University of Inland Norway, Hamar, Norway.ORCID http://orcid.org/0000-0001-6546-3311
Fatemeh AsadiDepartment of Biotechnology, University of Inland Norway, Hamar, Norway.
Truls E Bjerklund JohansenInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0003-3490-6460
Can ImirzaliogluInstitute of Medical Microbiology, Medical Microbiome-Metagenome Unit (M3U), Justus Liebig University Giessen, Giessen, Germany.
Torsten HainInstitute of Medical Microbiology, Medical Microbiome-Metagenome Unit (M3U), Justus Liebig University Giessen, Giessen, Germany.
Florian WagenlehnerGerman Center for Infection Research (DZIF), Partner Site Giessen-Marburg-Langen, Giessen, Germany.ORCID http://orcid.org/0000-0002-2909-0797
Rafi AhmadDepartment of Biotechnology, University of Inland Norway, Hamar, Norway. rafi.ahmad@inn.no.ORCID http://orcid.org/0000-0002-0383-7848

Funding

Norges Forskningsråd (Research Council of Norway) 336420 and 352514
6 · The paper itself

Abstract

Urinary tract infections (UTIs) affect 405 million people worldwide. Current diagnostics rely on cultures, which can take 2 to 4 days. This study evaluates eleven culture-independent methods for sample preparation from 78 complicated UTI patients, followed by real-time nanopore sequencing and data analysis. The metagenomic results are highly consistent with culture-based clinical routines (MALDI-TOF/VITEK-2). The optimized method demonstrated an accuracy score of 99% (100/101) for pathogen identification and 90% (589/653) for antimicrobial susceptibility profiling with 95% specificity. The method's robustness is highlighted by its ability to accurately identify pathogens with as few as 32 bacterial cells/µL and a low bacterial-to-host cell ratio limit of 0.5. Additionally, mNGS identified 13 pathogens that routine diagnostics missed, which were subsequently confirmed by Vivalytic or PCR. This method is up to 30% more economical than published studies and commercial kits. DNA yield and flow cytometry can be used for pre-screening to reduce costs, which is crucial for clinical adoption. This research highlights the rapid diagnosis of clinical UTIs using a cost-effective and scalable method that requires around four hours from sample collection to informed decision-making. Furthermore, it aims to improve antimicrobial and diagnostic stewardship by reducing empirical treatment and ensuring more judicious antibiotic use.

Indexed as

BacteriaMetagenomicsUrinary Tract InfectionsAdultAnti-Bacterial AgentsFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedNanopore SequencingAnti-Bacterial Agents

Identifiers

PMID41339341
PMCPMC12780005

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.