Literature DB >> 24626409

Comparison between automated system and PCR-based method for identification and antimicrobial susceptibility profile of clinical Enterococcus spp.

Luciana Furlaneto-Maia1, Kátia Real Rocha2, Vera Lúcia Dias Siqueira3, Márcia Cristina Furlaneto2.   

Abstract

Enterococci are increasingly responsible for nosocomial infections worldwide. This study was undertaken to compare the identification and susceptibility profile using an automated MicrosScan system, PCR-based assay and disk diffusion assay of Enterococcus spp. We evaluated 30 clinical isolates of Enterococcus spp. Isolates were identified by MicrosScan system and PCR-based assay. The detection of antibiotic resistance genes (vancomycin, gentamicin, tetracycline and erythromycin) was also determined by PCR. Antimicrobial susceptibilities to vancomycin (30 µg), gentamicin (120 µg), tetracycline (30 µg) and erythromycin (15 µg) were tested by the automated system and disk diffusion method, and were interpreted according to the criteria recommended in CLSI guidelines. Concerning Enterococcus identification the general agreement between data obtained by the PCR method and by the automatic system was 90.0% (27/30). For all isolates of E. faecium and E. faecalis we observed 100% agreement. Resistance frequencies were higher in E. faecium than E. faecalis. The resistance rates obtained were higher for erythromycin (86.7%), vancomycin (80.0%), tetracycline (43.35) and gentamicin (33.3%). The correlation between disk diffusion and automation revealed an agreement for the majority of the antibiotics with category agreement rates of > 80%. The PCR-based assay, the van(A) gene was detected in 100% of vancomycin resistant enterococci. This assay is simple to conduct and reliable in the identification of clinically relevant enterococci. The data obtained reinforced the need for an improvement of the automated system to identify some enterococci.

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Year:  2014        PMID: 24626409      PMCID: PMC4085851          DOI: 10.1590/S0036-46652014000200002

Source DB:  PubMed          Journal:  Rev Inst Med Trop Sao Paulo        ISSN: 0036-4665            Impact factor:   1.846


INTRODUCTION

Enterococci are implicated in a wide diversity of infections and are the third most common pathogen isolated from several infections worldwide[35]. According to a recent epidemiological survey conducted in Brazil, Enterococcus spp accounted for 4.5% of all nosocomial bloodstream infections (BSIs), resulting in 49.5% crude mortality[26]. Enterococci infections' greater mortality rates and antibiotic resistance are associated with prolonged hospitalization and increased health-care costs[1,32]. It has recently been reported that inappropriate and delayed antibiotic therapy present an independent risk factor for mortality caused by enterococcal bacteraemia[36]. Besides, the difficulty in treating enterococci infections, particularly with respect to vancomycin resistance isolates, emphasizes the need for safe and therapeutic guidance for rapid identification and effective management. In this context, the employment of automated systems, that provide rapid identification and susceptibility testing, may lead to a significant reduction of patient morbidity, mortality and cost[3]. However, the identification and susceptibility testing of microorganisms usually takes 24-48 h after initial growth in a routine laboratory. In addition, automated systems may present problems in the identification of members of the genus Enterococcus in clinical laboratories[11]. Currently, several studies have compared the direct and standard methods for different automated systems[16,17,20,42]. The employment of polymerase chain reaction (PCR)-based assay in the identification of enterococci and detection of antibiotic resistance genes offered a specific and rapid alternative to standard tests, providing essential information concerning the effective management and appropriate therapy of enterococcal bacteraemia[10,14,21,41]. In this study, we compared for the first time the MicrosScan® system versus PCR-based approach for identification as well as the susceptibility profile of clinical Enterococcus sp.

MATERIAL AND METHODS

A total of 30 Enterococcus clinical isolates were obtained from January 2008 to June 2010, from patients of the University Hospital of State University of Maringá (UEM). The origins of the isolates were urine, blood, orotracheal fluid and rectal swab. The MicrosScan® was used in the identification of enterococci and in susceptibility test by using the standard growth detection algorithms provided by the system. Enterococcus spp. genomic DNA was extracted by the boiling method as described by MARQUES & SUZART[27]. The identification of enterococci species was performed using a polymerase chain reaction (PCR) method. PCR assay was carried out using the following species-specific primers: ddl (E. faecalis), ddl (E. faecium), vanC-1 (E. gallinarum), vanC-2 (E. casseliflavus) and vanC-3 (E. flavencens), and tuf for Enterococcus sp genus members (Table 1). The detection of resistance genes was conducted by PCR in all isolates of enterococci. The presence of gene vanA, aac(6′)-Ie-aph(2″)-Ia, erm(B) and tet(L), for vancomycin, gentamicin, erythromycin and tetracycline, respectively (Table 1).
Table 1

Primers used in this study for identification of Enterococcus spp. and detection of different resistance genes by PCR-based method

GeneNucleotide sequence (5′ - 3′)a Ta* (°C)amplicon (bp)References
tuf TACTGACAAACCATTCATGATG AACTTCGTCACCAACGCGAAC5611221
vanC-1 GGTATCAAGGAAACCTC CTTCCGCCATCATAGCT5682210
vanC-2, vanC-3 CTCCTACGATTCTCTTG CGAGCAAGACCTTTAAG56439
ddlE.faecalis ATCAAGTACAGTTAGTCT ACGATTCAAAGCTAACTG56941
ddlE.faecium TAGAGACATTGAATATGCC TCGAATGTGCTACAATC56550
vanA GTAGGCTGCGATATTCAAAGC CGATTCAATTGCGTAGTCCAA56231 E. faecium 2
330 E. faecalis
aac(6′)- Ie- aph(2″)-Ia CAGAGCCTTGGGAAGATGAAG CCTCGTGTAATTCATGTTCTGGC5634839
erm(B) CATTTAACGACGAAACTGGC GGAACATCTGTGGTATGGCG5640514
tet(L) GTMGTTGCGCGCTATATTCC GTGAAMGRWAGCCACCTAA56696

Ta (°C) = temperature of annealing/aM = A or C; R = A or G; W = A or T/ (*) with modification/gene gene tuf, Enterococcus; vanC-1, E. gallinarum; vanC-2, vanC-3, E.casseliflavus, E. flavencens; tet(L), tetracycline; erm(B), erythromycin; aac(6′)-aph(2′)-Ia, gentamicin and vanA, vancomycin.

Ta (°C) = temperature of annealing/aM = A or C; R = A or G; W = A or T/ (*) with modification/gene gene tuf, Enterococcus; vanC-1, E. gallinarum; vanC-2, vanC-3, E.casseliflavus, E. flavencens; tet(L), tetracycline; erm(B), erythromycin; aac(6′)-aph(2′)-Ia, gentamicin and vanA, vancomycin. All PCR amplifications were performed in a final volume of 20 µL containing one ρmol of each primer (Forward and Reverse), 0.17 mM dNTPs, 2.5 mM MgCl2, one U of Taq DNA polymerase (Invitrogen), buffer of Taq, and 10 µL template DNA. An initial cycle of denaturation (94 °C for two min), was followed by 30 cycles of denaturation (94 °C for one min), annealing at an appropriate temperature for one min and elongation (72 °C for 10 min). A Thermal Cycler (Techne-Tc3000) was used to carry out the PCR reactions. PCR products were analyzed by gel electrophoresis in 1.5% agarose stained with ethidium bromide (0.5 g.mL-1), observed under UV transillumination and photographed by L-PIX ST (LOCCUS). Susceptibility testing of four antimicrobial agents (vancomycin, 30 µg; tetracycline, 30 µg; erythromycin, 15 µg; and gentamicin 120 µg) (Laborclin) was performed by the disk diffusion assay on Muller Hinton agar plates. After 18 or 24 h of incubation at 37 °C, inhibition zone diameters around each disc were measured and the diameters of inhibition zones were interpreted according to the criteria recommended by the Clinical and Laboratory Standards Institute, 2011. Staphlylococccus aureus 25923 ATCC was used as a control strain. MicrosScan® system was used on the same antimicrobial agents for the antimicrobial susceptibility testing.

RESULTS

In the present study, we firstly evaluated the genetic similarities of the Enterococcus isolates using the RAPD-PCR analysis. The fingerprinting revealed no clonal lineage (unrelated strains) among tested isolates (data not shown). As shown in Table 2, for 27 out of 30 (90%) isolates the identification was concordant between the automated system and the molecular method. All 20 isolates identified as E. faecium and seven isolates as E. faecalis by automation system were confirmed by PCR assay. Figure 1 illustrated the amplicon size of Enterococcus sp. Among the isolates tested, E. faecium (76.7%) had a much higher incidence rate followed by E. faecalis (23.3%).
Table 2

Identification of clinical enterococci isolates by automated systems and molecular method

StrainoriginIdentification
automated systemPCR-based assay
802urine E. faecalis E. faecalis
817rectal swab E. gallinarum E. faecium
840blood E. faecalis E. faecalis
848urine E. faecalis E. faecalis
872orotracheal fluid E. faecalis E. faecalis
906urine E. faecalis E. faecalis
917urine E. durans/hirae E. faecium
924rectal swab E. faecium E. faecium
925rectal swab E. faecium E. faecium
928urine E. faecalis E. faecalis
973urine E. faecium E. faecium
1000urine E. durans/hirae E. faecium
1035rectal swab E. faecium E. faecium
1053rectal swab E. faecium E. faecium
1062rectal swab E. faecium E. faecium
1076rectal swab E. faecium E. faecium
1097rectal swab E. faecium E. faecium
1112rectal swab E. faecium E. faecium
1114rectal swab E. faecium E. faecium
1115rectal swab E. faecium E. faecium
1125rectal swab E. faecium E. faecium
1143rectal swab E. faecium E. faecium
1211urine E. faecalis E. faecalis
1215rectal swab E. faecium E. faecium
1227urine E. faecium E. faecium
1231urine E. faecium E. faecium
1246urine E. faecium E. faecium
1280rectal swab E. faecium E. faecium
1295rectal swab E. faecium E. faecium
1298rectal swab E. faecium E. faecium
Fig. 1

Amplification gel pictures characteristic of polymerase chain reaction (PCR) amplification of Enterococcus sp gene. Lanes: (1) Enterococcus spp. (112 pb), (2) E. faecalis (941 pb), (3) E. faecium (550 pb). M - Ladder 1kb plus (Invitrogen).

The disagreement was observed in the identification of three isolates. The species classified by automation as E. gallinarum (isolate 817) and E. durans/hirae (isolate 917 and 1000) were all identified as E. faecium by the PCR assay. Antibiotic susceptibility phenotypes and resistance genes profile, detected by PCR, of the enterococcal isolates are shown in Table 3. The presence of resistance genes erm(B), tet(L), vanA and aac(6′)-Ie-aph(2″) were 86.7%, 23.3%, 80.0% and 66.7%, respectively. Several isolates harbored resistance genes to more than one antibiotic. Of significance were tet(L) +/erm(B) + to E. faecalis (42.8%) and erm(B) +/aac(6′)-Ie-aph(2″)-Ia +/vanA + to E. faecium (69.6%).
Table 3

PCR presence/absence assays of various antibiotic resistance genes for Enterococcus and antibiotic resistant phenotypes by automated systems

IsolatesGenes detected by PCRAntibiotic resistance phenotype (MIC µg/mL)*
em(B) tet(L) vanA aac(6′)-Ie-aph(2′)-Ia ERYTETVANGEN
802+++-> 4R> 8 R≤ 2 S≤ 500 S
817--++≤ 0,5 S> 8 R8 I≤ 500 S
840--+->4 R≤ 4 S≤ 2 S≤ 500 S
848++--2≤ 4 S≤ 2 S≤ 500 S
872++--> 4 R> 8 R≤ 2 S≤ 500 S
906++--> 4> 8 R≤ 2 S≤ 500 S
917++--> 4> 8 R≤ 2 S≤ 500 S
924+-++> 4≤ 4 S> 16 R≤ 500 S
925++++>4≤ 4 S> 16 R≤ 500 S
928+-++--//--> 8 R≤ 2 S--//--
973+-++> 4> 8 R≤ 2 S--//--
1000+-++> 4≤ 4 S> 16 R> 500 R
1035+-++> 4> 8 R> 16 R> 500 R
1053+-++> 4> 8 R> 16 R≤ 500 S
1062+-++> 4≤ 4 S> 16 R> 500 R
1076+-++> 4> 8 R> 16 R≤ 500 S
1097--++> 4> 8 R> 16 R≤ 500 S
1112+-+-> 4≤ 4 S> 16 R> 500R
1114+-++> 4≤ 4 S> 16 R> 500R
1115+-+-> 4≤ 4 S> 16 R> 500 R
1125++++> 4≤ 4 S> 16 R> 500 R
1143+-+-> 4≤ 4 S> 16 R>500 R
1211----≤0,5≤ 4 S≤ 2 S≤ 500 S
1215+-++> 4 R> 8 R> 16 R≤ 500 S
1227+-++> 4≤ 4 S> 16 R>500R
1231+-++> 4> 8 R> 16 R≤ 500 S
1246+-++> 4≤ 4 S> 16 R> 500 R
1280+-++> 4 R≤ 4 S> 16 R> 500 R
1295+-++> 4 R≤ 4 S> 16 R> 500 R
1298+-++> 4 R> 8 R> 16 R≤ 500 S

MIC: minimal inhibitory concentration; ERY: erythromycin; TET: tetracycline; VAN: vancomycin; GEN: gentamicin (120 µg/mL); --//--: data not provided; S: sensible; R: resistance; I: intermediate resistance. (*) Result obtained from the automated method.

MIC: minimal inhibitory concentration; ERY: erythromycin; TET: tetracycline; VAN: vancomycin; GEN: gentamicin (120 µg/mL); --//--: data not provided; S: sensible; R: resistance; I: intermediate resistance. (*) Result obtained from the automated method. The presence of the vanA gene was detected in three isolates of E. faecalis and twenty-two of E. faecium, corresponding to 42.8% and 96.6% of the isolates, respectively. The van(A) gene was detected in 100% of vancomycin resistant enterococci (Table 3), however, five isolates harbored the van(A) gene and presented vancomycin susceptibility phenotype. On the other hand, antimicrobial resistance phenotype was detected even in the absence of the respective resistance gene for two isolates to erm(B), 10 to tet(L) and three to aac(6′)-Ie-aph(2″)-Ia gene. Additionally, antimicrobial susceptibilities to erythromycin, tetracyclin, vancomycin, and gentamicin were analyzed by disk diffusion. Evaluation revealed excellent agreement for all of the antibiotics with category agreement rates > 80% between automatized method and disk diffusion. Major error rates were for erythromycin, vancomycin and tetracycline with 20.7%, 7% and 16.7% respectively. Minor error rates were found as 12.1% for gentamicin. Resistance rates obtained by disc diffusion were as follows: 86.7% for erythromycin, 80.0% for vancomycin, 43.35% for tetracycline and 33.3% for gentamicin. Resistance frequencies were higher in E. faecium than E. faecalis.

DISCUSSION

Enterococci have been implicated in severe human infections as a consequence of associated determinants of virulence and antimicrobial resistance. Accurate identification and rapid analysis of the antibiotic susceptibility pattern of the causative microbial agent leads to earlier targeting of antibiotic therapy and may be lifesaving. In this study, we describe a comparison between automatic and PCR-based assay for identification of Enterococcus spp. Our results showed 90% agreement in the identification of clinically relevant enterococcal species, revealing that the PCR method is reliable and convenient for rapid identification and has potential for use in clinical microbiology laboratories. Besides, one isolate was identified as E. gallinarum and two were identified as E. durans/hirae by MicrosScan, whereas by PCR-based assay all three isolates were identified as E. faecium. Similar discrepancy was described by ROBREDO et al. [30], who compared the API20 STREP and colony hybridization for identification of enterococci obtained from several origins. According to these authors, high agreement was obtained for E. faecalis identification, however, for eight isolates identified as E. durans and E. casseliflavus by API20 STREP were identified as E. faecium according to the molecular method. Several studies have found differences between automatic and classical or molecular bacterial identification systems. For instance, concerning Gram positive bacteria, no gram-positive cocci showed concordant identification between the direct and standard methods; other discrepancies consisted of misidentification between various species of coagulase-negative staphylococci[7]. On the other hand, some studies showed the agreement between automatic and classical or molecular bacterial identification systems[16,33]. D'AZEVEDO et al. [9] compared the automated Vitek system and standard methods for identification of 80 isolates belonging to different species of Enterococcus. The general agreement between results was 83.7%. Among isolates of E. faecalis and E faecium were observed that the automated system correctly identified 35/40 (87.5%) and 12/14 (85.7%) of the strains, respectively[. CEKIN et al. [4] demonstrated the consistency of automated systems with the conventional methods. They detected as 97.8% to identification of VRE strains using both methods. Based on the results presented here and the previous report[39] there is a need for improvement in the automated MicrosScan system to identify enterococci. In the present study, the genotypic basis of the resistance phenotype found in isolates of E. faecium and E. faecalis was investigated by PCR based detection of resistance genes. The majority of Enterococcus isolates displayed resistance to at least one antibiotic tested. Our results revealed that the vanA gene was predominant in E. faecium tests since this gene was detected in 100% of vancomycin-resistant isolates, although Enterococcus spp. may harbor other genes (vanB, vanC-1, vanC-2/3 and vanD) related to resistance[37]. Antibiotic resistance has played an essential role in the emergence of E. faecalis and E. faecium as nosocomial pathogens. Vancomycin is an important therapeutic option for the treatment of severe enterococcal infections and resistance to this type of antibiotic is concerning. Identified risk factors for vancomycin-resistant enterococci (VRE) acquisition include a prolonged hospital stay, exposure to intensive care units or residence on transplant oncology wards, prior exposure to antibiotics, and proximity to other patients infected or colonized with VRE[40]. In our study we detected the tet(L) gene in 23.3% (7/30) of the isolates, while four and five of these presented resistance to tetracycline in automated and disk diffusion method, respectively. Similar prevalence of tet(L) gene (21%) in enterococci was described by STOVCIK et al. [35]. In contrast, FRAZZON et al. [13] detected the tet(L) gene in only 9% of the Enterococcus sp isolates. Furthermore, tetracycline resistance phenotype was detected even in the absence of the tet(L) gene for 10 isolates. This may be explained by the fact that in enterococci two major groups of tetracycline resistance genes have been identified. One group encoding ribosomal protection proteins include tet(M), tet(O) and tet(S) genes, and the another one that encodes tetracycline efflux pumps proteins include the tet(L) and tet(K) genes[18,22,28]. Similarly, erythromycin resistance was detected even in the absence of the erm(B)gene. This resistance may be due to the presence of erm(A and/or erm(C)) genes related to erythromycin resistance phenotype[37]. Gentamicin susceptible phenotype was detected in 36.7% of the isolates. However, 52.6% of these were detected as the aac(6′)-Ie-aph(2″)-Ia gene. Similar results were obtained by POULSEN et al. [29]. In our study, the MicrosScan system and disk diffusion method had an agreement of about 80%. GÜLMEZ & HASÇELIK[16] compared the Phoenix system and microdilution method and observed an excellent agreement for all of the antibiotics with category agreement rates of > 97%. In contrast, the API method was considered unreliable in detecting high levels of aminoglycoside resistance among Enterococcus strains compared to disc diffusion method[34]. Our data revealed high frequency of E. faecium and the occurrence of several multi resistance isolates. Antibiotic resistance appears to have contributed to increasing administration of inadequate antimicrobial therapy for infections, particularly enterococci nosocomial acquired infections, which is associated with greater hospital mortality rates[5,23]. Rapid and reliable identification of these antibiotic resistant organisms is crucial for patient management and infection control measures. Enterococci are intrinsically resistant to many antimicrobial agents, and their ability to acquire resistance to other agents such as aminoglycosides, ß-lactams and glycopeptides (vancomycin and teicoplanin) is well known, resulting in invasive human enterococcal infections that are extremely difficult to treat. The primary objective of the study was to determine whether molecular identification and direct antimicrobial susceptibility testing would provide results comparable to those obtained from an automated system in routine use. This study revealed that the PCR assay and disk diffusion method are in agreement with MicroScan automated system employed for identification and test susceptibility, respectively of clinical Enterococcus spp.
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5.  Consequences of bacterial resistance to antibiotics in medical practice.

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6.  Practical approach to the identification of clinically relevant Enterococcus species.

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8.  The benefit of appropriate empirical antibiotic treatment in patients with bloodstream infection.

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Review 9.  Clinical implications of nosocomial gram-positive bacteremia and superimposed antimicrobial resistance.

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10.  Emergence of vancomycin-resistant enterococci in Australia: phenotypic and genotypic characteristics of isolates.

Authors:  J M Bell; J C Paton; J Turnidge
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