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Journal of Clinical Microbiology, October 2003, p. 4858-4861, Vol. 41, No. 10
0095-1137/03/$08.00+0 DOI: 10.1128/JCM.41.10.4858-4861.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.
Departments of Pathology,1 Pediatrics,2 Internal Medicine,3 Medical Technology,4 Microbiology and Immunology,5 Biochemistry, College of Medicine National Cheng Kung University, Tainan, Taiwan6
Received 21 March 2003/ Returned for modification 12 May 2003/ Accepted 28 July 2003
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Among the GAS M serotypes, M1, M2, M3, M4, M6, M18, and M22 have been associated with scarlet fever epidemics (1, 12, 15, 19, 21-24). Scarlet fever remains a notifiable disease in Taiwan. An outbreak of scarlet fever occurring at a hospital day care center during a 2-month period in 1996 was reported to be caused by one GAS clone (12); however, genetic relationships among GAS strains associated with other scarlet fever epidemics in Taiwan and emm types of these strains are still unknown. The purpose of the present study was to investigate the molecular epidemiology of GAS isolates associated with scarlet fever in southern Taiwan. The prevalence and mechanisms of erythromycin resistance in these isolates were also determined.
GAS isolates. Among clinical isolates of GAS randomly collected between 1993 and 1995 and consecutively collected between 1997 and 2002 at the National Cheng Kung University Hospital, Tainan City, Taiwan, a total of 77 isolates were found to be associated with scarlet fever and were investigated in this study. All of the isolates studied were recovered from throat swabs of different patients. Isolates collected between 1993 and 1998 have been tested previously for their resistance phenotypes and genotypes, and among these isolates, erythromycin-resistant isolates have been examined for their pulsed-field gel electrophoresis (PFGE) patterns (30).
emm typing.
PCR amplification of the emm gene was performed with previously described primers (2). The amplicons were sequenced on an ABI PRISM 310 sequencer analyzer (Applied Biosystems, Foster City, Calif.) with the primer pair for PCR. The emm sequences obtained were compared with those deposited in the GenBank database. An isolate was considered to be of a given emm type if it had
95% identity over the first 160 bases obtained (4, 9).
PFGE. PFGE was carried out with a contour-clamped homogeneous electric field system (CHEF Mapper XA; Bio-Rad Laboratories, Hercules, Calif.) as described previously (6). Genomic DNAs were prepared as described by Piggot et al. (25) and were digested overnight with 10 U of SmaI (New England Biolabs, Beverly, Mass.). Restricted DNA samples were electrophoresed through a 1% agarose gel in 0.5x Tris-borate-EDTA buffer at 6 V/cm with switch times ranging from 2.16 to 44.69 s and a lineal switch time ramp for 27 h. Bacteriophage lambda DNA concatemers (Gibco BRL, Gaithersburg, Md.) were used as size standards. The PFGE patterns obtained were interpreted in accordance with the criteria of Tenover et al. (28).
Susceptibility testing and determination of erythromycin resistance phenotypes. MICs of penicillin, erythromycin, and clindamycin (Sigma Chemical Co., St. Louis, Mo.) were determined by the agar dilution method in accordance with the recommendations of the NCCLS (20). Resistance phenotypes of erythromycin-resistant isolates were determined by the double-disk test with erythromycin and clindamycin (Becton Dickinson, Cockeysville, Md.) disks as described previously (27). Blunting of the growth inhibition zone around clindamycin in the area between the two disks indicated an inducible type of macrolide, lincosamide, and streptogramin B (MLS) resistance (27, 29), and resistance to both disks indicated a constitutive type of MLS resistance (17, 27). The M phenotype was characterized by resistance to erythromycin and susceptibility to clindamycin with no blunting of the growth inhibition zone (27).
Detection of erythromycin resistance genes. Detection of erythromycin resistance genes in erythromycin-resistant isolates by PCR was performed with the oligonucleotide primer pairs specific to ermB, ermTR, and mefA (14, 30). The expected sizes of PCR products were 640 bp for ermB, 348 bp for mefA, and 530 bp for ermTR.
Three emm types were obtained for the 77 isolates (Table 1). The most prevalent emm sequence type was emm1 with 56 (72.7%) isolates, followed by emm4 with 20 (26.0%) isolates. PFGE yielded 13 different patterns among these isolates, and each pattern from a representative isolate is shown in Fig. 1. The most prevalent PFGE patterns represented were pattern J with 25 (32.5%) isolates, pattern D with 13 (16.9%) isolates, and pattern G with 8 (10.4%) isolates. The emm1 type, prevalent throughout the study period, was predominant among the isolates collected between 1993 and 1995 and after 1998 (Fig. 2A). Only three PFGE patterns were obtained for the isolates collected between 1993 and 1995 (Table 1). All of the emm1 isolates collected during this period except one showed PFGE pattern J, suggesting the occurrences of scarlet fever outbreaks caused by a single emm1 clone between 1993 and 1995 in southern Taiwan. After 1996, genomic diversity was found among the emm1 isolates, which displayed nine PFGE patterns (A, E, F, G, H, I, J, L, and M). None of these patterns were found to be prominent. Serotype M1 isolates have caused large outbreaks of scarlet fever in Germany (15). The increase in the numbers of serotype M1 isolates associated with invasive GAS infections has been reported around the world since the mid-1980s (5, 7, 8, 11, 13, 26). The serotype has also been reported to be more prevalent among invasive isolates than among noninvasive isolates in Taiwan (13). Whether the association of emm1 and scarlet fever outbreaks found in the present study is due to a high prevalence of emm1 among GAS strains in Taiwan or to specific pathogenic factors is not known and needs further investigation.
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TABLE 1. Susceptibility to erythromycin, resistance genotypes, and strain typing of the 77 GAS isolates associated with scarlet fever
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FIG. 1. PFGE profiles of SmaI-digested genomic DNAs from 13 representative isolates of GAS. Lanes 1 to 13, PFGE patterns A to M.
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FIG. 2. (A) Changes in the numbers and percentages of GAS isolates of different emm types during the period studied. (B) Changes in the percentage of erythromycin-resistant GAS isolates and in the numbers of ermB-positive and mefA-positive isolates during the study period.
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All 77 GAS isolates were susceptible to penicillin (MICs, <0.03 µg/ml), and 56 (72.7%) isolates were resistant to erythromycin (MIC,
1 µg/ml). Our previous study has demonstrated a high rate (63.2%) of erythromycin resistance in GAS isolates collected between 1993 and 1998 (30). The percentage of erythromycin resistance during the period was 83.6% for the isolates associated with scarlet fever and 56.8% for the isolates from non-scarlet fever patients (unpublished data). The percentages of erythromycin resistance in GAS associated with scarlet fever were found to decline after 1998 in the present study (Fig. 2B). The increase in the erythromycin-susceptible isolates might be in part due to the occurrence of an outbreak caused by an emm1 clone with PFGE pattern G (Table 1). Whether the decrease in the number and percentage of erythromycin-resistant isolates represents a trend in erythromycin resistance in GAS associated with scarlet fever or is just a temporal variation in this area deserves further investigation. If such a trend exists, erythromycin may become the drug of choice for the treatment of scarlet fever in penicillin-hypersensitive patients in Taiwan once again.
The erythromycin resistance phenotypes of the 56 erythromycin-resistant isolates were determined by the double-disk test with erythromycin and clindamycin disks. Twenty-eight (50.0%) isolates were of the erythromycin-resistant M phenotype, 28 (50.0%) isolates were of the constitutive MLS resistance phenotype, and none of the isolates exhibited the inducible MLS resistance phenotype. All 28 constitutively MLS-resistant isolates showed high-level resistance to both erythromycin (MICs,
128 µg/ml) and clindamycin (MICs,
128 µg/ml). All 28 isolates demonstrating the M phenotype of erythromycin resistance showed low-level resistance to erythromycin (MICs, 2 to 32 µg/ml) and were susceptible to clindamycin (MIC, 0.03 to 0.13 µg/ml). Genetic determinants of erythromycin resistance were investigated in all erythromycin-resistant isolates by means of PCR experiments with specific primer sets for ermB, ermTR, and mefA. As predicted, all 28 constitutively MLS-resistant isolates carried the ermB gene and all 28 isolates demonstrating the M phenotype of erythromycin resistance carried the mefA gene. The resistance genotypes showed a different chronological distribution. The ermB-positive isolates were predominant between 1993 and 1995, and the mefA-positive isolates were predominant between 1997 and 1999 (Fig. 2B). The numbers of mefA-positive isolates appeared to decline year by year after 1997. Only three PFGE patterns were obtained for the 28 ermB-positive isolates, and 25 (89.3%) of them showed PFGE pattern J (Table 1). The data indicate that a genetically related ermB-positive clone cause outbreaks during 1993 and 1995, and the clone still existed more recently. Genetic diversity was found among the mefA-positive isolates, which revealed nine PFGE patterns (A, B, C, D, E, F, H, J, and M). However, 13 (46.4%) of the 28 mefA-positive isolates showed pattern D. Thus, the predominance of mefA between 1996 and 1999 was in part due to the prevalence of a genetically related clone.
In conclusion, emm1 was found to be prevalent throughout the past 10 years and the outbreaks of scarlet fever caused by emm4 isolates were found to occur between 1995 and 2000 in the present study. The outbreaks in the early 1990s were mostly associated with an ermB-positive erythromycin-resistant emm1 clone, and those occurring thereafter were associated with genetically diverse clones. Moreover, erythromycin-resistant isolates seem to be decreasing. This paper is the first report of the genotypes of GAS associated with scarlet fever in Taiwan. Our data provide a basis for future studies on changes in the epidemiology of GAS, outbreak investigation, and development of preventive measures and of recommendations for treatment strategies in Taiwan.
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