Evidence map›Paper›PMID 40827889›Full record

ArticleThe Journal of infectious diseases2025

Molecular Epidemiology of Clinical Infections Caused by Serratia marcescens Complex in a Tertiary Care Hospital System: Insights From Whole-Genome Sequencing.

Adam S Komorowski, Michael G Surette, Laura Rossi, Dominique Tertigas, Mark Gaskin, Shahrokh Shekarriz, Andrew G McArthur, Marek Smieja, Dominik Mertz

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. International journal of molecular sciences · 2026
    Review
  2. Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026
    Review
  3. 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

9 authors.

Adam S KomorowskiDepartment of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0003-2101-7701
Michael G SuretteMichael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0003-0086-4995
Laura RossiDepartment of Biochemistry and Biomedical Sciences, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-1963-2484
Dominique TertigasDepartment of Biochemistry and Biomedical Sciences, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.ORCID 0009-0008-3245-1355
Mark GaskinDepartment of Laboratory Medicine, Hamilton Health Sciences and St Joseph's Healthcare, Hamilton, Ontario, Canada.
Shahrokh ShekarrizDepartment of Biochemistry and Biomedical Sciences, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0001-8773-3693
Andrew G McArthurMichael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-1142-3063
Marek SmiejaDepartment of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0003-1655-3761
Dominik MertzDepartment of Health Research Methodology, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0003-4337-1613

Funding

family of the late Mr David BraleyGovernment of OntarioResearch Institute of St Joseph's Healthcare
6 · The paper itself

Abstract

backgroundSerratia marcescens is an opportunistic AmpC β-lactamase-producing Enterobacterales associated with intensive care unit outbreaks, causing high morbidity and mortality. The spatiotemporal dynamics of Serratia species and their implications for hospital infection prevention and control remain understudied.

methodsWe prospectively identified patient culture specimens in a multihospital academic healthcare system from 2022 to 2024. We included first-time isolates of S. marcescens identified via culture and confirmed by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Isolates underwent whole-genome sequencing on the Illumina NextSeq 2000 platform. We queried assembled genomes using the Comprehensive Antibiotic Resistance Database to identify resistance genes and predict resistomes. We constructed a maximum-likelihood phylogenetic tree using GTDB-Tk-assigned taxonomies. We identified possible links between patients if there was a spatiotemporal overlap and the average nucleotide identity (ANI) of a sequence pair was > 99.0%. We collected relevant patient characteristics via retrospective chart review and analyzed data using descriptive statistics.

resultsOf 147 identified isolates, we included 125. Phenotypic testing suggested either inducible or derepressed AmpC expression in all isolates. Whole-genome sequencing found species-level discordance with MALDI-TOF MS in 64 (51.2%) isolates, suggesting the presence of multiple members of the recently described S. marcescens complex causing hospital- or community-associated infections. Only 1 isolate pair had a spatiotemporal link and ANI > 99.0%.

conclusionsBetween-patient transmission of S. marcescens complex outside of outbreaks is likely rare. Current MALDI-TOF MS-based identification methods are insufficient to identify S. marcescens complex and laboratory reporting should be modified to report only to the level of the complex.

Indexed as

Cross InfectionSerratia InfectionsSerratia marcescensAdultAgedAnti-Bacterial AgentsFemaleGenome, BacterialHumansMaleMiddle AgedMolecular EpidemiologyPhylogenyProspective StudiesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTertiary Care CentersAnti-Bacterial Agentsdrug resistanceEnterobacteralesinfection controlSerratia marcescenswhole-genome sequencing

Identifiers

PMID40827889
PMCPMC12526944

What OpenQuestion holds

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LicenceCC BY
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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.