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Identification of Biomarkers for Differentiation of Hypervirulent Klebsiella pneumoniae from Classical K. pneumoniae.

ABSTRACT: A hypervirulent Klebsiella pneumoniae (hvKp) pathotype is undergoing global dissemination. In contrast to the usual health care-associated epidemiology of classical K. pneumoniae (cKp) infections, hvKp causes tissue-invasive infections in otherwise healthy individuals from the community, often involving multiple sites. An accurate test to identify hvKp strains is needed for improved patient care and epidemiologic studies. To fill this knowledge gap, clinical criteria or random blood isolates from North American and United Kingdom strain collections were used to assemble hvKp-rich (n = 85) and cKp-rich (n = 90) strain cohorts, respectively. The isolates were then assessed for multiple candidate biomarkers hypothesized to accurately differentiate the two cohorts. The genes peg-344, iroB, iucA, plasmid-borne rmpA gene ( _prmpA), and _prmpA2 all demonstrated >0.95 diagnostic accuracy for identifying strains in the hvKp-rich cohort. Next, to validate this epidemiological analysis, all strains were assessed experimentally in a murine sepsis model. peg-344, iroB, iucA, _prmpA, and _prmpA2 were all associated with a hazard ratio of >25 for severe illness or death, additionally supporting their utility for identifying hvKp strains. Quantitative siderophore production of ?30 ?g/ml also strongly predicted strains as members of the hvKp-rich cohort (accuracy, 0.96) and exhibited a hazard ratio of 31.7 for severe illness or death. The string test, a widely used marker for hvKp strains, performed less well, achieving an accuracy of only 0.90. Last, using the most accurate biomarkers to define hvKp, prevalence studies were performed on two Western strain collections. These data strongly support the utility of several laboratory markers for identifying hvKp strains with a high degree of accuracy.

SUBMITTER: Russo TA

PROVIDER: S-EPMC6113484 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Identification of Biomarkers for Differentiation of Hypervirulent Klebsiella pneumoniae from Classical K. pneumoniae.

Russo Thomas A TA Olson Ruth R Fang Chi-Tai CT Stoesser Nicole N Miller Mark M MacDonald Ulrike U Hutson Alan A Barker Jason H JH La Hoz Ricardo M RM Johnson James R JR

Journal of clinical microbiology 20180827 9

A hypervirulent <i>Klebsiella pneumoniae</i> (hvKp) pathotype is undergoing global dissemination. In contrast to the usual health care-associated epidemiology of classical <i>K. pneumoniae</i> (cKp) infections, hvKp causes tissue-invasive infections in otherwise healthy individuals from the community, often involving multiple sites. An accurate test to identify hvKp strains is needed for improved patient care and epidemiologic studies. To fill this knowledge gap, clinical criteria or random bloo ...[more]

PMID: 29925642

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Project description:Distinguishing hypervirulent (hvKp) from classical Klebsiella pneumoniae (cKp) strains is important for clinical care, surveillance, and research. Some combinations of iucA, iroB, peg-344, rmpA, and rmpA2 are most commonly used, but it is unclear what combination of genotypic or phenotypic markers (e.g., siderophore concentration, mucoviscosity) most accurately predicts the hypervirulent phenotype. Furthermore, acquisition of antimicrobial resistance may affect virulence and confound identification. Therefore, 49 K. pneumoniae strains that possessed some combinations of iucA, iroB, peg-344, rmpA, and rmpA2 and had acquired resistance were assembled and categorized as hypervirulent hvKp (hvKp) (N = 16) or cKp (N = 33) via a murine infection model. Biomarker number, siderophore production, mucoviscosity, virulence plasmid's Mash/Jaccard distances to the canonical pLVPK, and Kleborate virulence score were measured and evaluated to accurately differentiate these pathotypes. Both stepwise logistic regression and a CART model were used to determine which variable was most predictive of the strain cohorts. The biomarker count alone was the strongest predictor for both analyses. For logistic regression, the area under the curve for biomarker count was 0.962 (P = 0.004). The CART model generated the classification rule that a biomarker count = 5 would classify the strain as hvKP, resulting in a sensitivity for predicting hvKP of 94% (15/16), a specificity of 94% (31/33), and an overall accuracy of 94% (46/49). Although a count of ≥4 was 100% (16/16) sensitive for predicting hvKP, the specificity and accuracy decreased to 76% (25/33) and 84% (41/49), respectively. These findings can be used to inform the identification of hvKp.IMPORTANCEHypervirulent Klebsiella pneumoniae (hvKp) is a concerning pathogen that can cause life-threatening infections in otherwise healthy individuals. Importantly, although strains of hvKp have been acquiring antimicrobial resistance, the effect on virulence is unclear. Therefore, it is of critical importance to determine whether a given antimicrobial resistant K. pneumoniae isolate is hypervirulent. This report determined which combination of genotypic and phenotypic markers could most accurately identify hvKp strains with acquired resistance. Both logistic regression and a machine-learning prediction model demonstrated that biomarker count alone was the strongest predictor. The presence of all five of the biomarkers iucA, iroB, peg-344, rmpA, and rmpA2 was most accurate (94%); the presence of ≥4 of these biomarkers was most sensitive (100%). Accurately identifying hvKp is vital for surveillance and research, and the availability of biomarker data could alert the clinician that hvKp is a consideration, which, in turn, would assist in optimizing patient care.

Project description:Emergence and spread of the hypervirulent pathotype of Klebsiella pneumoniae have significantly increased infection rates in community as well as healthcare settings. There is an increasing interest to identify discriminating features between classical K. pneumoniae (cKp) and hypervirulent K. pneumoniae (hvKp) to facilitate our understanding of the rapid emergence and dissemination of the hypervirulent pathotype. Here, we sought to identify unique epigenetic signatures of hvKp pathotype that differ from its classical counterpart using single-base resolution methylome analysis of native DNA sequencing on the Oxford Nanopore Technologies platform. The overall global adenine methylation in GATC motifs (i.e., Dam methylation motif) and cytosine methylation in CCWGG motifs (i.e., Dcm methylation motif) were significantly higher in hvKp isolates compared to that in cKp isolates, irrespective of their position in chromosomes or putative extra-chromosomal genetic elements. Notably, we observed significant enrichment of hypermethylated GATC and CCWGG motifs in the virulome of hvKp compared to hvKp genes not directly associated with virulence. We also observed increased methylation of GATC and CCWGG motifs in the capsule synthesis locus of hvKp isolates compared to cKp isolates. Furthermore, we identified several differentially methylated genes (DMGs) between the two pathotypes; interestingly, these DMGs include metal ion transporters, multidrug efflux pumps, transcriptional regulators of stress response, and genes associated with biofilm formation. Our results highlight hypermethylation of GATC and CCWGG motifs as unique epigenetic signatures of hvKp isolates.IMPORTANCEHypervirulent Klebsiella pneumoniae (hvKp) is a more virulent and rapidly evolving hypermucoviscous pathotype of classical K. pneumoniae (cKp). The hypervirulent pathotype is a major public health concern and is associated with high infection rates in community as well as hospital settings. With the recent emergence of multidrug-resistant hvKp, it has become imperative to investigate non-classical mechanisms such as epigenetics in addition to canonical biochemical and genetic mechanisms that delineate and differentiate the hypervirulent pathotype from its classical counterpart. Here, we identify genome-wide differences in adenine and cytosine methylation marks at well-characterized motifs between the two pathotypes. Overall, significantly higher levels of methylation were observed across chromosomal DNA and extrachromosomal elements in hvKp compared to cKp. Among hvKp isolates, the genes associated with virulence are particularly enriched for methylation marks. Our findings shed light on how epigenetic signatures may help distinguish the pathogenic potential of bacteria.

Project description:UnlabelledHighly invasive, community-acquired Klebsiella pneumoniae infections have recently emerged, resulting in pyogenic liver abscesses. These infections are caused by hypervirulent K. pneumoniae (hvKP) isolates primarily of capsule serotype K1 or K2. Hypervirulent K1 isolates belong to clonal complex 23 (CC23), indicating that this clonal lineage has a specific genetic background conferring hypervirulence. Here, we apply whole-genome sequencing to a collection of K. pneumoniae isolates to characterize the phylogenetic background of hvKP isolates with an emphasis on CC23. Most of the hvKP isolates belonged to CC23 and grouped into a distinct monophyletic clade, revealing that CC23 is a unique clonal lineage, clearly distinct from nonhypervirulent strains. Separate phylogenetic analyses of the CC23 isolates indicated that the CC23 lineage evolved recently by clonal expansion from a single common ancestor. Limited grouping according to geographical origin was observed, suggesting that CC23 has spread globally through multiple international transmissions. Conversely, hypervirulent K2 strains clustered in genetically unrelated groups. Strikingly, homologues of a large virulence plasmid were detected in all hvKP clonal lineages, indicating a key role in K. pneumoniae hypervirulence. The plasmid encodes two siderophores, aerobactin and salmochelin, and RmpA (regulator of the mucoid phenotype); all these factors were found to be restricted to hvKP isolates. Genomic comparisons revealed additional factors specifically associated with CC23. These included a distinct variant of a genomic island encoding yersiniabactin, colibactin, and microcin E492. Furthermore, additional novel genomic regions unique to CC23 were revealed which may also be involved in the increased virulence of this important clonal lineage.ImportanceDuring the last 3 decades, hypervirulent Klebsiella pneumoniae (hvKP) isolates have emerged, causing severe community-acquired infections primarily in the form of pyogenic liver abscesses. This syndrome has so far primarily been found in Southeast Asia, but increasing numbers of cases are being reported worldwide, indicating that the syndrome is turning into a globally emerging disease. We applied whole-genome sequencing to a collection of K. pneumoniae clinical isolates to reveal the phylogenetic background of hvKP and to identify genetic factors associated with the increased virulence. The hvKP isolates primarily belonged to clonal complex 23 (CC23), and this clonal lineage was revealed to be clearly distinct from nonhypervirulent strains. A specific virulence plasmid was found to be associated with hypervirulence, and novel genetic determinants uniquely associated with CC23 were identified. Our findings extend the understanding of the genetic background of the emergence of hvKP clones.

Dataset Information

Identification of Biomarkers for Differentiation of Hypervirulent Klebsiella pneumoniae from Classical K. pneumoniae.

Publications

Identification of Biomarkers for Differentiation of Hypervirulent Klebsiella pneumoniae from Classical K. pneumoniae.

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