Evidence map›Paper›PMID 40894237›Full record

ArticleJAC-antimicrobial resistance2025

Microbiome and resistome characterization of patients colonized with carbapenem-resistant Enterobacterales by long-read metagenomic next-generation sequencing of rectal swabs.

John A Fissel, Yehudit Bergman, Victoria L Campodónico, Dana M Walsh, Brian Fanelli, Keshav Arogyaswamy, Jennie H Kwon, Aaron M Milstone, Pranita D Tamma, Patricia J Simner

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 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.

John A FisselTriCore Reference Laboratories, Albuquerque, NM, USA.
Yehudit BergmanDivision of Medical Microbiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-4262-7173
Victoria L CampodónicoDivision of Medical Microbiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Dana M WalshCmbio, Germantown, MD, USA.
Brian FanelliCmbio, Germantown, MD, USA.
Keshav ArogyaswamyCmbio, Germantown, MD, USA.
Jennie H KwonDivision of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, USA.ORCID https://orcid.org/0000-0002-7824-6276
Aaron M MilstoneDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0001-8498-8682
Pranita D TammaDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-4143-6324
Patricia J SimnerDivision of Medical Microbiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Evaluation of differences in the intestinal microbiome and resistome among high-risk patients (i.e. intensive care, oncology, transplant recipients) who are and are not colonized with carbapenem-resistant Enterobacterales (CRE). Methods: One hundred and twelve rectal swabs were obtained from 85 patients with known CRE colonization status and cohorted. Long-read metagenomic next-generation sequencing (mNGS) was performed on rectal swabs. Microbiome and resistome analysis were performed by assessing α-diversity, β-diversity, relative abundance assessment and linear discriminant analysis effect size (LEfSe), comparing patients colonized (CRE positive) and not colonized (CRE negative) with CRE. Longitudinal analysis of sequential swabs collected over multiple hospital encounters on a subset of patients was performed at the patient level. Results: The microbiomes of cohorts were similar when comparing α- and β-diversity measures and relative abundance. LEfSe analysis identified Gram-negative pathobionts enriched among CRE-positive samples and Gram-positive taxa enriched among CRE-negative samples. α-Diversity of the resistome differed at class, gene and allele levels. Relative abundance and LEfSe analysis demonstrated enrichment of genes conferring β-lactam resistance among CRE-positive patients; LEfSe also demonstrated enrichment of antimicrobial resistance genes to multiple antimicrobial classes. At the patient level, fluctuations in the microbiome and resistome among longitudinally collected swabs were associated with antibiotic exposure. Conclusions: Differences between the microbiomes of CRE-positive- and CRE-negative-colonized patients at the cohort level were relatively muted, whereas statistically significant differences were observed among their resistomes. In patients followed longitudinally, shifts in microbiome and resistome composition were dramatic in between encounters and antibiotic exposures.

Identifiers

PMID40894237
PMCPMC12392892

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