Evidence map›Paper›PMID 37596530›Full record

ArticleBMC microbiology2023

Comparing antimicrobial resistant genes and phenotypes across multiple sequencing platforms and assays for Enterobacterales clinical isolates.

Rebecca Rose, David J Nolan, Deborah Ashcraft, Amy K Feehan, Leonor Velez-Climent, Christopher Huston, Benjamin Lain, Simon Rosenthal, Lucio Miele, Gary B Fogel and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

17 citing papers in PubMed, 21 citations in OpenAlex.

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  9. The Emergence ofAntibiotics (Basel, Switzerland) · 2025
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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 at 3 institutions in 1 country.

Rebecca RoseBioInfoExperts LLC, 718 Bayou Lane, Thibodaux, LA, 70301, USA. rebecca.rose@bioinfox.com.
David J NolanBioInfoExperts LLC, 718 Bayou Lane, Thibodaux, LA, 70301, USA.
Deborah AshcraftInfectious Disease Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA.
Amy K FeehanInfectious Disease Clinical Research, Ochsner Clinic Foundation, New Orleans, LA, USA.
Leonor Velez-ClimentBioInfoExperts LLC, 718 Bayou Lane, Thibodaux, LA, 70301, USA.
Christopher HustonBioInfoExperts LLC, 718 Bayou Lane, Thibodaux, LA, 70301, USA.
Benjamin LainBioInfoExperts LLC, 718 Bayou Lane, Thibodaux, LA, 70301, USA.
Simon RosenthalBioInfoExperts LLC, 718 Bayou Lane, Thibodaux, LA, 70301, USA.
Lucio MieleTranslational Science and Genetics at Louisiana State University Health Science Center, New Orleans, LA, USA.
Gary B FogelNatural Selection, Inc., CA, San Diego, USA.
George PankeyInfectious Disease Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA.
Julia Garcia-DiazInfectious Disease Clinical Research, Ochsner Clinic Foundation, New Orleans, LA, USA.
Susanna L LamersBioInfoExperts LLC, 718 Bayou Lane, Thibodaux, LA, 70301, USA.
Ochsner Medical Center · USLouisiana State University Health Sciences Center New Orleans · USNatural Selection (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWhole genome sequencing (WGS) of bacterial isolates can be used to identify antimicrobial resistance (AMR) genes. Previous studies have shown that genotype-based AMR has variable accuracy for predicting carbapenem resistance in carbapenem-resistant Enterobacterales (CRE); however, the majority of these studies used short-read platforms (e.g. Illumina) to generate sequence data. In this study, our objective was to determine whether Oxford Nanopore Technologies (ONT) long-read WGS would improve detection of carbapenem AMR genes with respect to short-read only WGS for nine clinical CRE samples. We measured the minimum inhibitory breakpoint (MIC) using two phenotype assays (MicroScan and ETEST) for six antibiotics, including two carbapenems (meropenem and ertapenem) and four non-carbapenems (gentamicin, ciprofloxacin, cefepime, and trimethoprim/sulfamethoxazole). We generated short-read data using the Illumina NextSeq and long-read data using the ONT MinION. Four assembly methods were compared: ONT-only assembly; ONT-only assembly plus short-read polish; ONT + short-read hybrid assembly plus short-read polish; short-read only assembly.

resultsConsistent with previous studies, our results suggest that the hybrid assembly produced the highest quality results as measured by gene completeness and contig circularization. However, ONT-only methods had minimal impact on the detection of AMR genes and plasmids compared to short-read methods, although, notably, differences in gene copy number differed between methods. All four assembly methods showed identical presence/absence of the blaKPC-2 carbapenemase gene for all samples. The two phenotype assays showed 100% concordant results for the non-carbapenems, but only 65% concordance for the two carbapenems. The presence/absence of AMR genes was 100% concordant with AMR phenotypes for all four non-carbapenem drugs, although only 22%-50% sensitivity for the carbapenems.

conclusionsOverall, these findings suggest that the lack of complete correspondence between CRE AMR genotype and phenotype for carbapenems, while concerning, is independent of sequencing platform/assembly method.

Indexed as

Anti-Bacterial AgentsCarbapenemsErtapenemGenotypePhenotypeAnti-Bacterial AgentsCarbapenemsErtapenemAnti-microbial drugsAssembly methodsblaKPCCarbapenemEnterobacterETESTKlebsiellaMicroScan

Identifiers

PMID37596530
PMCPMC10436404
OpenAlexW4385981694

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.