Abstract
Coagulase-negative staphylococci, particularly Staphylococcus epidermidis, have been recognized as an important cause of health care-associated infections. Concurrently, S. epidermidis is a common contaminant in clinical cultures, which poses a diagnostic challenge. An article in this issue of Journal of Clinical Microbiology (I. Tolo, J. C. Thomas, R. S. B. Fischer, E. L. Brown, B. M. Gray, and D. A. Robinson, J Clin Microbiol 54:1711–1719, 2015, http://dx.doi.org/10.1128/JCM.03345-15) describes a rapid single nucleotide polymorphism-based assay for distinguishing between S. epidermidis isolates from hospital and nonhospital sources, which represents an important contribution to the characterization and understanding of S. epidermidis health care-associated infections.
TEXT
Coagulase-negative staphylococci (CoNS) constitute an indigenous part of the microbiota of human and animal skin and mucosa (1). Over a period of several decades, CoNS and particularly Staphylococcus epidermidis have evolved as important opportunistic pathogens, primarily causing health care-associated infections in patients with indwelling medical devices (2, 3). These infections were previously predominantly regarded as being of endogenous origin, but considerable evidence has been accumulated confirming that nosocomial genotypes of S. epidermidis colonize patients and health care personnel and cause a substantial proportion of health care-associated infections (4–11). S. epidermidis is currently the main pathogen in catheter-related bloodstream infections and early-onset neonatal sepsis and is also a frequent cause of prosthetic joint infections, prosthetic valve endocarditis, and other biomedical device-related infections (12–15). A major clinical challenge is that these infections are often caused by multidrug-resistant S. epidermidis phenotypes and that the infections are chronic in nature due to adherence and biofilm formation on indwelling medical devices. These factors impede antimicrobial therapy and may ultimately necessitate removal of biomedical devices to clear infections (2).
Compared to what has been observed for methicillin-resistant Staphylococcus aureus (MRSA), much less is known about the epidemiology and transmission of S. epidermidis in health care settings, even though strains of S. epidermidis have been recognized as significant nosocomial pathogens for more than 30 years (2, 16). This negligence may be attributable to ignorance of the actual extent of the impact of S. epidermidis on health care-associated infections. Notably, estimates of such clinical importance of CoNS in the health care setting differ even between countries in Northern Europe (17, 18). The significance of S. epidermidis as a cause of livestock-associated infections has recently been a subject of investigation (19).
Over a number of years, there has been a lack of simple and reliable methods for species identification, which has hampered the assessment and understanding of the epidemiology of S. epidermidis and the evaluation of bacteria of this species in clinical cultures. Several inherent features of S. epidermidis infections add to the difficulties in making a correct microbial diagnosis and distinguishing between contamination, colonization, and true infection. Such characteristics consist of phenotypic morphological variation, including small colony variants (SCVs) and different antibiograms (clonal variability), as well as polyclonal infections and multispecies CoNS infections (12, 20–22). Unfortunately, all these characteristics of S. epidermidis infection can add to the difficulty of assessing culture findings and hence increase the risk that the results will be dismissed as being due to contamination, preventing proper microbial diagnosis and treatment. These problems occur primarily when S. epidermidis is assessed in biofilms and in device-related infections. In recent years, matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) has revolutionized routine microbial diagnostics, because this long-awaited method enables fast and reliable high-throughput species-level identification of clinical isolates (23). MALDI-TOF MS will significantly contribute to improving the assessment and diagnosis of infections caused by CoNS (24).
Another factor that has limited investigations of S. epidermidis epidemiology is the lack of rapid, non-labor-intensive, and highly discriminatory and reproducible genotyping methods. Pulsed-field gel electrophoresis has been used in short-term epidemiological studies, and multilocus sequence typing (MLST) has contributed unambiguous and highly reproducible data reflecting long-term evolutionary relationships between isolates (6, 25, 26). However, both of those methods are labor-intensive and time-consuming, and the discriminatory power of MLST is insufficient for routine use in outbreak investigations of health care-associated S. epidermidis genotypes due to the large proportion of sequence type 2 isolates (6, 11).
In light of the current challenges facing clinical microbiology and professionals addressing control of infectious diseases, the comprehensive article by Tolo and colleagues included in this issue of Journal of Clinical Microbiology presents an interesting method for simplifying the identification of S. epidermidis genotypes in the clinical setting (27). By analyzing seven single nucleotide polymorphisms (SNPs), these researchers were able to accurately assign 545 (94%) of 578 sequence types to six genetic clusters (GCs), which were hypothesized to reflect three different sources of isolates: blood isolates representing true infection, blood isolates representing contaminants, and carriage isolates from nonhospital sources. Equivalent to the use of a panel of five well-studied genetic markers (icaA, IS256, sesD [bhp], mecA, and arginine catabolic mobile element [ACME]), GC typing could differentiate hospital from nonhospital isolates with 80% accuracy. However, and not surprisingly, neither of these methods could adequately discriminate between S. epidermidis isolates from infection and contaminant sources. This can be attributed to the finding that colonization often precedes infection, which renders a method based on MLST data unable to distinguish between hospital isolates that cause infections and those identified solely as contaminants (26, 28).
Another important and explanatory result reported by Tolo et al. is that using colony morphology is insufficient as a basis for distinguishing contaminants from infection isolates from the same patient, as is common practice in some microbiology laboratories. It is also imperative to analyze genomes from several CoNS isolates from a clinical culture to more fully comprehend and evaluate the above-mentioned challenges associated with clinical assessment of CoNS findings (including but not restricted to SCVs, polyclonal infection, and multispecies CoNS infections). Furthermore, to elucidate genome evolution within a host and to reconstruct transmission events, it will be essential to analyze several isolates from each patient by use of whole-genome sequencing (WGS) (29). In the future, WGS will no doubt be used as a first-line genotyping method that can provide fast and completely unambiguous data with ultimate resolution as well as information regarding chain of transmission and presence of virulence factors, antimicrobial genotypic resistance, and mobile genetic elements (30).
At present, the next-generation sequencing (NGS) methods are still too complex for implementation in routine daily practice at clinical microbiology laboratories for wide-scale use in outbreak investigations and surveillance (26). The current rapid development of NGS analysis will likely lead to increased awareness of S. epidermidis as a clinically relevant and resilient pathogen. NGS methods can also help explain the dissemination of S. epidermidis strains and their function as a reservoir of transferable genes that can enhance the virulence and resistance of other pathogens in health care settings as well as in livestock production.
The study by Tolo et al. represents an important step toward improving the culture assessment of S. epidermidis in clinical microbiology laboratories, which can provide better information to physicians and thereby give them a framework for more-comprehensive understanding of the clinical picture of health care-associated S. epidermidis infections. Such knowledge will also facilitate the drawing of conclusions from epidemiological studies and outbreak investigations and aid in evaluating the impact of measures aimed at reducing the spread of multidrug-resistant S. epidermidis and resultant infections in the health care setting.
The views expressed in this Commentary do not necessarily reflect the views of the journal or of ASM.
Footnotes
For the article discussed, see doi:10.1128/JCM.03345-15.
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