FTIR typing of the emerging NDM-14-producing Klebsiella pneumoniae ST147 clone

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ABSTRACT The emergence and rapid dissemination of NDM-14-producing Klebsiella pneumoniae ST147 represents a major challenge for infection control, requiring timely and reliable outbreak detection tools. In this study, we evaluated Fourier-transform infrared (FTIR) spectroscopy as a rapid typing method for outbreak investigation and compared its performance with whole-genome sequencing (WGS). A collection of 64 carbapenemase-producing K. pneumoniae isolates, including 30 NDM-14-producing ST147 isolates associated with a regional outbreak in the Canary Islands, was analyzed using FTIR spectroscopy and WGS. FTIR-based clustering was optimized using the polysaccharide spectral region and a customized distance cutoff. Genomic relatedness was assessed using multilocus sequence typing, core-genome single-nucleotide polymorphism (SNP) analysis at multiple thresholds, and clustering agreement indices. FTIR identified a dominant spectral cluster comprising 31 isolates, capturing all outbreak-related isolates with 100% sensitivity and 97% specificity. FTIR clustering showed concordance with genomic outbreak definitions at stringent SNP thresholds (10–18 SNPs), with accuracy exceeding 98%. Pairwise distance analysis revealed low FTIR dissimilarity among closely related isolates, whereas increased dispersion occurred at intermediate genomic distances (15–30 SNPs). Agreement indices showed improved concordance as genomic stringency increased, with the Modified Adjusted Rand Index values reaching 94.75 at the 10-SNP threshold. Importantly, FTIR identified an NDM-14-producing isolate from a distinct clonal background. Overall, FTIR spectroscopy provides a rapid and reliable first-line screening tool for identifying homogeneous outbreak clusters. However, due to lineage-dependent behavior and limited resolution at intermediate genomic distances, WGS remains essential for confirmatory analysis and precise delineation of transmission events. IMPORTANCE The rapid spread of multidrug-resistant Klebsiella pneumoniae poses a major challenge for infection control, particularly during hospital outbreaks where timely identification of transmission is essential. In this study, we evaluate Fourier-transform infrared (FTIR) spectroscopy as a rapid typing approach and compare its performance with whole-genome sequencing in the context of an outbreak caused by NDM-14-producing K. pneumoniae ST147. Our results show that FTIR can reliably identify highly related isolates within a clonal outbreak, supporting early outbreak recognition. However, its performance is influenced by the underlying genomic structure of the population and may require dataset-specific optimization. These findings highlight the potential of FTIR as a first-line screening tool while emphasizing the need for cautious interpretation and integration with genomic methods for accurate outbreak delineation.

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