Evidence map›Paper›PMID 40629442›Full record

ArticleAntimicrobial resistance and infection control2025

Source-tracking Klebsiella outbreaks in premature infants using a novel amplicon fingerprinting method.

Adam P Matson, Katrin Unterhauser, Karim Rezaul, Stephanie Lesmes, Yanjiao Zhou, Ian C Michelow, Naveed Hussain, Mark D Driscoll

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Article in Antimicrobial resistance and infection control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Adam P MatsonDepartment of Pediatrics, UConn Health, Farmington, CT, USA. Amatson@UCHC.edu.
Katrin UnterhauserDepartment of Pediatrics, UConn Health, Farmington, CT, USA.
Karim RezaulDepartment of Pediatrics, UConn Health, Farmington, CT, USA.
Stephanie LesmesDepartment of Research, Connecticut Children's Medical Center, Hartford, CT, USA.
Yanjiao ZhouDepartment of Medicine, UConn Health, Farmington, CT, USA.
Ian C MichelowDepartment of Pediatrics, UConn Health, Farmington, CT, USA.
Naveed HussainDepartment of Pediatrics, UConn Health, Farmington, CT, USA.
Mark D DriscollIntus Biosciences, Farmington, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEven with state-of-the-art infection control practices, premature infants can develop life-threatening infections in the neonatal intensive care unit (NICU). The precise sources of most NICU-associated infections frequently remain unknown and, therefore, are difficult to address. In this study, we used a novel microbiome sequencing approach to source-track lethal sepsis-causing Klebsiella, opportunistic pathogens, and commensal bacterial strains colonizing the gut of hospitalized premature infants.

methodsAn exploratory-methods, case series was at performed Connecticut Children's Medical Center NICU in 2021. Long-read 16-23 S rRNA gene sequencing was used to analyze fecal samples, mother's milk, and clinical bacterial isolates derived from a cluster of Klebsiella-infected, and concurrently hospitalized non-infected, premature infants who were simultaneously enrolled in a neonatal microbiome study. Distinct groups of amplicons comprising a unique fingerprint pattern for a given strain were compared among the samples to ascertain relatedness.

resultsWe confirmed 100% amplicon identity between lethal Klebsiella quasipneumoniae from milk, gut, blood and trachea during sepsis in twins, while differentiating other infecting and colonizing Klebsiella strains in concurrently hospitalized premature infants. The method also successfully discriminated between multiple Klebsiella strains within the gut microbiota of a non-infected infant. Additionally, we showed that human milk is the source of many early intestinal colonizers, including Klebsiella, Enterococcus, Veillonella, and Bifidobacterium strains.

conclusionsAmplicon fingerprinting can be utilized as a high-throughput high-resolution test to assist in the investigation of nosocomial outbreaks. Additional applications such as routine monitoring of various reservoirs for potential pathogens could inform infection prevention and control strategies in the NICU.

Indexed as

Cross InfectionDisease OutbreaksKlebsiellaKlebsiella InfectionsFecesFemaleHumansInfant, NewbornInfant, PrematureIntensive Care Units, NeonatalMaleMilk, HumanRNA, Ribosomal, 16SSepsisRNA, Ribosomal, 16S16S rRNABacterial strainsKlebsiellaLong-read sequencingMicrobiomeNeonatal infectionsSource-tracking

Identifiers

PMID40629442
PMCPMC12239369

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