Evidence map›Paper›PMID 34442751›Full record

ArticleMicroorganisms2021

Culture-Free Detection of Antibiotic Resistance Markers from Native Patient Samples by Hybridization Capture Sequencing.

Ines Ferreira, Sarah Lepuschitz, Stephan Beisken, Giuseppe Fiume, Katharina Mrazek, Bernhard J H Frank, Silke Huber, Miriam A Knoll, Arndt von Haeseler, Arne Materna and 3 more

Abstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Enrichment techniques for clinical metagenomics.Frontiers in cellular and infection microbiology · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Direct prediction of carbapenem resistance inJournal of clinical microbiology · 2023
    Article
  7. Article
  8. 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

13 authors.

Ines FerreiraAres Genetics GmbH, 1030 Vienna, Austria.
Sarah LepuschitzAres Genetics GmbH, 1030 Vienna, Austria.
Stephan BeiskenAres Genetics GmbH, 1030 Vienna, Austria.
Giuseppe FiumeAres Genetics GmbH, 1030 Vienna, Austria.
Katharina MrazekAres Genetics GmbH, 1030 Vienna, Austria.
Bernhard J H FrankMichael Ogon Laboratory for Orthopaedic Research, Orthopaedic Hospital Vienna-Speising, 1130 Vienna, Austria.ORCID 0000-0002-6193-2413
Silke HuberInstitute of Hygiene and Medical Microbiology, Medical University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-7021-1845
Miriam A KnollInstitute of Hygiene and Medical Microbiology, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Arndt von HaeselerCenter for Integrative Bioinformatics Vienna, Max Perutz Laboratories, University of Vienna, 1030 Vienna, Austria.
Arne MaternaAres Genetics GmbH, 1030 Vienna, Austria.
Jochen G HofstaetterMichael Ogon Laboratory for Orthopaedic Research, Orthopaedic Hospital Vienna-Speising, 1130 Vienna, Austria.
Andreas E PoschAres Genetics GmbH, 1030 Vienna, Austria.
Johannes WeinbergerAres Genetics GmbH, 1030 Vienna, Austria.ORCID 0000-0002-4671-7846

Funding

Österreichische Forschungsförderungsgesellschaft 871243Österreichische Forschungsförderungsgesellschaft 879570Wirtschaftsagentur Wien 24478239
6 · The paper itself

Abstract

The increasing incidence of antimicrobial resistance (AMR) is a major global challenge. Routine techniques for molecular AMR marker detection are largely based on low-plex PCR and detect dozens to hundreds of AMR markers. To allow for comprehensive and sensitive profiling of AMR markers, we developed a capture-based next generation sequencing (NGS) workflow featuring a novel AMR marker panel based on the curated AMR database ARESdb. Our primary objective was to compare the sensitivity of target enrichment-based AMR marker detection to metagenomics sequencing. Therefore, we determined the limit of detection (LOD) in synovial fluid and urine samples across four key pathogens. We further demonstrated proof-of-concept for AMR marker profiling from septic samples using a selection of urine samples with confirmed monoinfection. The results showed that the capture-based workflow is more sensitive and requires lower sequencing depth compared with metagenomics sequencing, allowing for comprehensive AMR marker detection with an LOD of 1000 CFU/mL. Combining the ARESdb AMR panel with 16S rRNA gene sequencing allowed for the culture-free detection of bacterial taxa and AMR markers directly from septic patient samples at an average sensitivity of 99%. Summarizing, the newly developed ARESdb AMR panel may serve as a valuable tool for comprehensive and sensitive AMR marker detection.

Indexed as

antimicrobial resistancehuman pathogensinfectious disease surveillancemolecular detectionnext generation sequencingsynovial fluidtarget enrichmenturinary tract infection

Identifiers

PMID34442751
PMCPMC8398375

What OpenQuestion 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 OpenQuestion graph.