Annals of Clinical Microbiology, The official Journal of the Korean Society of Clinical Microbiology
Original article

emm Types and Clusters of Group A Streptococcus Causing Acute Pharyngitis in Changwon Korea, 2018–2019

1Department of Laboratory Medicine, Daewoo General Hospital, Geoje, 2Department of Laboratory Medicine, Gyeongsang National University Changwon Hospital, Changwon, 3Department of Laboratory Medicine, Gyeongsang National University College of Medicine, Institute of Health Sciences, Jinju, Korea

Corresponding to Sunjoo Kim, E-mail: sjkim8239@hanmail.net

Ann Clin Microbiol 2021;24(4):127-134. https://doi.org/10.5145/ACM.2021.24.4.3
Received on 7 May 2021, Revised on 28 July 2021, Accepted on 9 September 2021, Published on 20 December 2021.
Copyright © Korean Society of Clinical Microbiology.

Abstract

Background: Group A streptococcus (GAS) is the most common cause of bacterial pharyngitis. This study aimed to characterize the molecular epidemiology of GAS infection using an emmtyping and emm-clustering approach.

Methods: A total of 372 patients from Changwon who showed pharyngitis symptoms were recruited during the sampling period of 2018–2019 and throat cultures were obtained from them. emm typing was performed using polymerase chain reaction (PCR) and direct sequencing. emm genotypes and GAS clusters were classified based on a web-based database.

Results: Of the 372 throat swab specimens, 101 (27.2%) were positive for GAS. emm typing analysis was performed on 59 GAS isolates. The most prevalent emm type was emm89 (20.3%), followed by emm12 (16.9%). Seven emm clusters were identified: E4 (emm89/ emm28, 32.2%), A-C4 (emm12, 16.9%), E1 (emm4, 13.6%), A-C5 (emm3, 10.2%), E6 (emm75, 8.5%), M6 (emm6, 8.5%), and A-C3 (emm1, 6.8%).

Conclusion: Diverse and temporal changes were observed in the distribution of emm types and clusters of GAS. Continuous surveillance based on emm genotyping is needed to monitor the epidemiological characteristics of GAS pharyngitis.

Keywords

Epidemiological surveillance, Group A streptococcus, Streptococcus pyogenes, Pharyngitis

Introduction

Group A streptococcus (GAS) causes a wide spectrum of diseases, ranging from mild infections of the throat and skin, such as pharyngitis and impetigo, to severe infections including necrotizing fasciitis, bacteremia, and toxic shock-like syndrome. The mortality rate due to toxic shock-like syndrome and necrotizing fasciitis has reached 15-25% [13]. In addition, it involves the immune mediated sequelae, such as acute rheumatic fever, rheumatic heart disease and post streptococcal glomerulonephritis [4,5]. Annually, about 600 million patients are infected by GAS and over 500,000 die of GAS infections or sequelae [4,6]. 

Because of high GAS disease burden, epidemiologic surveillance is important to detect changes in the disease pattern in various region or population. A safe and effective vaccine has not been available at the medical field yet [7]. Recently, molecular genetic methods have been used for the epidemiological investigation of GAS infections [8,9]. Many epidemiological studies have focused on GAS characteristics by emm types and clusters [10]. The emm gene of GAS, which is approximately 500-1500 bp in size, encodes the M protein [10]. The M protein of GAS is the major virulence factor that has anti-phagocytic effects towards white blood cells and anti-complement effects to the immune system [11,12]. Classical serotyping methods based on the different surface antigens of M protein have been replaced by sequence typing of the genetically variable N-terminal part of the emm gene [13,14]. emm genotyping is most widely used for epidemiological surveillance of GAS pharyngitis or invasive disease of GAS [1517]. As emm types are too diverse and complex, emm cluster typing system has been proposed [18,19]. This system classifies most of the 250 different emm types into 48 functional clusters, containing closely related M proteins that share their structural properties [10,18]. The advantage of emm cluster system is that they help to predict the virulence potential and vaccine efficacy by ascribing M protein binding attributes to emm types belonging to the same cluster [18]. 

In this study, we performed the molecular genetic analysis on GAS isolated from the patients of pharyngitis. Additionally, this study aimed to identify the temporal changes in the emm genotype and cluster, and to investigate the microbiological characteristics and antibiotic resistance of GAS isolated.

Materials and methods

1. Study subjects

A total of 372 patients who showed pharyngitis symptoms or signs from August 2018 to December 2019 in five pediatric clinics in Changwon, were recruited for this study.

2. Research ethics and consent

Prior to proceeding, the study was approved by the Institutional Review Board (IRB) of Gyeongsang National University Changwon Hospital (IRB No. 2018-01-008).

3. Bacteria isolation

Both tonsils were rubbed with a sterilized cotton swab to ensure that bacteria were sufficiently adhering to the cotton swabs. The swab was immediately placed in the transport media (Asan Pharmaceutical, Giheung, Korea), stored at room temperature, and transported to Gyeongsang National University Changwon Hospital for culture. Cotton swabs were inoculated on a blood agar plate (BAP, Asan Pharmaceutical), placed in a general incubator, and incubated for 16-18 hours at 35°C. The next day, small, grayish-white colonies showing complete hemolysis were retrieved from the BAP and identified by bacitracin disk (0.04 U), latex agglutination test (Seroiden Strepto Kit, Eiken, Tokyo, Japan), and/or VITEK mass spectrometry (bioMerieux, Marcy-l’Étoile, France).

4. Antimicrobial susceptibility test

Susceptibility tests were performed for all isolates by disk diffusion method according to the guidelines and interpretative criteria of the Clinical Laboratory and Standards Institute (CLSI) [20]. The following antimicrobial disks of BD BBL Sensi-Disk (Becton-Dickinson Microbiology Systems, Cockeysville, MD, USA) were used: erythromycin (ERY; 15 μg), clindamycin (CLI; 2 μg), tetracycline (TET; 30 μg), and ofloxacin (OFX; 5 μg). Streptococcus pneumoniae ATCC 49619 was used as the control strain. Three resistance phenotypes, such as cMLSB , iMLSB , and M phenotypes, and three resistance genes, such as mefA, ermA, and ermB genes were investigated.

5. Genetic analysis of emm gene
1) emm gene amplification

DNA was directly isolated from colonies grown on BAP using DNase Blood & Tissue Kits (Qiagen, Hilden, Germany). The base sequence of the forward primer was 5′-TAT TCG CTT AGA AAA TTA A-3′ and that of the reverse primer was 5′-GCA AGT TCT TCA GCT TGT TT-3′. All protocols and assignments of emm types and subtypes were as described for the GAS database (http://www.cdc.gov/streplab/groupastrep/emm-typing-protocol.htm).

2) Sequencing

Direct sequencing was performed using the amplified emm gene product at Macrogen (Seoul, Korea). Gene sequencing was performed using an ABI PRISM BigDye Terminator cycle sequencing kit (Applied Biosystems, Foster city, CA, USA) and MJ Research PTC-225 Peltier Thermal cycler (MJ Research Inc., Hercules, CA, USA). Bidirectional sequencing was performed and a MOPC (Macrogen Oligonucleotide Purification Cartridge, Macrogen) purified primer (5′-TAT TCG CTT AGA AAA TTA AAA ACA GG-3′) and emmseq2 (5′-TAT TCG CTT AGA AAA TTA AAA ACA GG-3′). The fluorescently labeled fragment was purified by the BigDye XTerminator Purification Kit (Thermo Fisher Scientific, Waltham, MA, USA), then loaded into an ABI PRISM 3730XL Analyzer (Applied Biosystems). The nucleotide sequence was compared with the database (https://www2.cdc.gov/vaccines/biotech/strepblast.asp) of the National Center for Biotechnology Information (NCBI) and was determined as the corresponding genotype of the homology was at least 95% . The size of the analyzed nucleotide sequence was approximately 150-200 bp. emm cluster was obtained at the same website above of the NCBI together with emm genotype.

Results

1. Bacterial culture

Of 372 patients of acute pharyngitis, GAS was isolated from 101 patients (27.2%), with 57.4% being male. The age distribution of the patients ranged from 1 to 61 years, with an average age of 9.9 years (95% confidence interval [CI], 8.5-11.2 years). The distribution of positive rates by the sex and age is shown in Table 1. In terms of age, six to eight-year-old showed the highest positive rates. Patients under two years of age did not grow GAS.

Table 1. Isolation rate (%) of group A streptococci (GAS) according to age and sex

Age (yr) Male Female Total
No. GAS % No. GAS % No. GAS %
1 5 0 0.0 1 0 0.0 6 0 0.0
2 7 0 0.0 10 0 0.0 17 0 0.0
3 11 1 9.1 10 1 10.0 21 2 9.5
4 16 4 25.0 13 1 7.7 29 5 17.2
5 26 6 23.1 24 6 25.0 50 12 24.0
6 26 10 38.5 24 9 37.5 50 19 38.0
7 24 13 54.2 20 5 25.0 44 18 40.9
8 18 11 61.1 20 9 45.0 38 20 52.6
9 17 6 35.3 14 3 21.4 31 9 29.0
10 6 3 50.0 7 1 14.3 13 4 30.8
11 4 2 50.0 10 1 10.0 14 3 21.4
12 3 1 33.3 9 2 22.2 12 3 25.0
13 5 1 20.0 2 0 0.0 7 1 14.3
14 5 0 0.0 5 1 20.0 10 1 10.0
15-18 1 0 0.0 5 2 40.0 6 2 33.3
>18 3 0 0.0 21 2 9.5 24 2 8.3
Total 177 58 32.8 195 43 22.1 372 101 27.2
2. Antibiotic resistance and its mechanism
The results of the antimicrobial susceptibility test showed that only one (1.7%) of 59 GAS, successfully grown in subculture, was resistant to ERY, CLI, and OFX, at the same time. All isolates were susceptible to TET. One isolate resistant to ERY possessed the ermB gene with the cMLSB phenotype.
3. Molecular typing

DNA was extracted for the emm genotyping of 59 GAS, successfully grown in subculture. Among the 59 isolates, the most common emm genotypes were emm89 (20.3 %), followed by emm12 (16.9 %), emm4 (13.6 %), emm28 (11.9 %), emm3 (10.2 %) and emm75/6 (8.5/8.5 %) (Table 2). The most common emm clusters were E4 (emm89/28, 32.2%), followed by A-C4 (emm12, 16.9%), E1 (emm4, 13.6%), A-C5 (emm3, 10.2%), E6 (emm75, 8.5 %) and M6 (emm6, 8.5 %). One strain (1.7 %) did not belong to any of the above clusters (Table 3).

Table 2. Comparison of distribution (%) of emm types in four studies in Korea

emm typesPeriod and regions studied
2014–2018 All regions [24]2008–2015 Gwangju [25]2017 Changwon [22]2018–2019 Changwon*
emm8914.92.312.620.3
emm1212.85.23.216.9
emm414.235.653.213.6
emm2819.114.811.611.9
emm310.6 0.510.2
emm75 5.72.68.5
emm6 2.8 8.5
emm111.514.510.06.8
emm90   1.7
stG485   1.7
emm128  1.6 
emm228  1.1 
emm131  1.1 
emm161  1.1 
emm245  0.5 
emm255  0.5 
stG643  0.5 
emm5 0.3  
Unknown16.918.8  

*This study.

Table 3. Distribution of emm clusters and emm genotypes

emm clustersemm typesNo. (%)
E4emm8912 (20.3)
 emm287 (11.9)
A-C4emm1210 (16.9)
E1emm48 (13.6)
A-C5emm36 (10.2)
E6emm755 (8.5)
M6emm65 (8.5)
A-C3emm14 (6.8)
E2stG4851 (1.7)
NA 1 (1.7)
Total 59 (100.0)

Abbreviation: NA, not available.

Discussion

We isolated GAS from 27.2% for patients with acute pharyngitis who visited a small-to-medium-sized pediatric clinics in Changwon in 2018-2019. In the antimicrobial susceptibility test of 59 isolates, one strain (1.7%) was resistant to each of the ERY, CLI, and OFX. That is lower resistance rate compared to 3.2% ERY, 2.6% CLI, 1.1% TET and 2.6% OFX in Changwon a year ago [21], and is much lower than 10.3% ERY, in Seoul reported in 2015 [22]. The difference in GAS resistance rate might be due to the different subjects, disease severity, antibiotic consumption and circulating strains. Judging from this low resistant rate result, ERY may be useful to treat pharyngitis at least in our region.

From the analysis of emm genotypes, emm89 (20.3%) was the most prevalent, followed by emm12 (16.9%) and emm4 (13.6%). The data collected in 2014-2018 reported by the Korea Centers for Disease Control and Prevention (KCDC), common emm genotypes were emm28 (19.1%), emm89 (14.9%), emm4 (14.2%), emm12 (12.8%), emm1 (11.5%) and emm3 (10.6%) [23]. The investigation of Jinju region nearby Changwon analyzing the emm genotype of GAS five times from 1995 to 2009 showed the change in emm types over a few decades. Previously, emm12, emm22, and emm44/61 were prevalent, but recently, emm4 and emm89 being more common [21]. By analyzing four representative papers that studied emm genotypes in Korea, temporal changes are observed [24] (Table 2). Also, the cluster shows more pronounced change, with a high level change from E1 to E4 [25,26]. Fluctuation in emm type and cluster distribution have been attributed to change of circulating emm type strains. It is known that the emm cluster A-C originated from pharyngeal samples, emm cluster D from skin samples, and emm cluster E from both pharyngeal and skin samples [12], which is in line with our results of pharyngeal strains. It is important to know the association between the emm types and the diverse GAS infections. Recently the data on the emm type distribution of population-based GAS surveillance have been proposed for the development of GAS vaccine [27]. 

Limitations of this study include low numbers of isolates analyzed for emm genotypes. In addition, we included only GAS isolated from pharynx, not from invasive diseases. 

In conclusion, we found a continuation of very low antibiotic resistance level of GAS and a marked f luctuation of emm types even during a short period of time in Changwon.

요약

배경: A군 사슬알균(group A streptococcus, GAS)은 세균성 인두염의 가장 흔한 원인 균이다. 인두염 환자에서 배양된 GAS를 대상으로 emm 유전자형과 클러스터를 확인하여 최근 유행한 GAS의 분자유전학적 특징을 조사하였다.

방법: 2018-2019년 사이에 경남 창원 지역에서 인두염이 의심되는 372명의 환자를 대상으로 인두 검체를 채취하여 인두배양 검사를 시행하였다. 배양된 균주를 대상으로 polymerase chain reaction (PCR) 및 직접 염기서열분석법으로 emm 유전자형을 분석하고 emm 클러스터를 조사하였다.

결과: 총 372명의 인두 검체 중 배양검사 양성은 101명(27.2%) 였다. 배양 양성 검체 중 계대배양에 성공한 59개 균주를 대상으로 유전자 분석을 하였는데, 흔한 emm 유전자형은 emm89 (20.3%)와 emm12 (16.9%) 였다. emm 클러스터는 E4 (emm89/emm28, 32.2%), A-C4 (emm12, 16.9%), E1 (emm4, 13.6%), A-C5 (emm3, 10.2%), E6 (emm75, 8.5 %), M6 (emm6, 8.5 %), 그리고 A-C3 (emm1, 6.8%) 등 7가지로 분류되었다.

결론: GAS는 지역과 시기에 따라 다양한 emm 유전자형 및 클러스터가 나타나며, 이러한 분자생물학적 연구는 GAS 감염의 역학적 데이터로 유용하게 사용될 수 있다.

Conflicts of interest

No potential conflicts of interest relevant to this article were reported.

Funding

This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (Grant No. H19C0047).

References

1. Rantala S, Vuopio-Varkila J, Vuento R, Huhtala H, Syrjanen J. Predictors of mortality in beta-hemolytic streptococcal bacteremia: a population-based study. J Infect 2009;58:266-72.

2. Steer AC, Jenney A, Kado J, Good MF, Batzloff M, Waqatakirewa L, et al. Prospective surveillance of invasive group A streptococcal disease, Fiji, 2005-2007. Emerg Infect Dis 2009;15:216-22.

3. Safar A, Lennon D, Stewart J, Trenholme A, Drinkovic D, Peat B, et al. Invasive group A streptococcal infection and vaccine implications, Auckland, New Zealand. Emerg Infect Dis 2011;17:983-9.

4. Carapetis JR, Steer AC, Mulholland EK, Weber M. The global burden of group A streptococcal diseases. Lancet Infect Dis 2005;5:685-94.

5. Walker MJ, Barnett TC, McArthur JD, Cole JN, Gillen CM, Henningham A, et al. Disease manifestations and pathogenic mechanisms of Group A Streptococcus. Clin Microbiol Rev 2014;27:264-301.

6. Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380:2095-128.

7. Fischetti VA. Vaccine approaches to protect against group A streptococcal pharyngitis. Microbiol Spectr 2019;7:3.

8. Baroux N, D’Ortenzio E, Amedeo N, Baker C, Ali Alsuwayyid B, Dupont-Rouzeyrol M, et al. The emm-cluster typing system for group A Streptococcus identifies epidemiologic similarities across the Pacific region. Clin Infect Dis 2014;59:e84-92.

9. Gherardi G, Vitali LA, Creti R. Prevalent emm types among invasive GAS in Europe and North America since year 2000. Front Public Health 2018;6:59.

10. McMillan DJ, Sanderson-Smith ML, Smeesters PR, Sriprakash KS. Molecular markers for the study of streptococcal epidemiology. In: Chhatwal G, ed. Host-pathogen interactions in streptococcal diseases. Current topics in microbiology and immunology. Berlin; Springer, 2012:29-48.

11. Bisno AL, Brito MO, Collins CM. Molecular basis of group A streptococcal virulence. Lancet Infect Dis 2003;3:191-200.

12. Smeesters PR, McMillan DJ, Sriprakash KS. The streptococcal M protein: a highly versatile molecule. Trends Microbiol 2010;18:275-82.

13. Beall B, Facklam R, Thompson T. Sequencing emm-specific PCR products for routine and accurate typing of group A streptococci. J Clin Microbiol 1996;34:953-8.

14. Facklam R, Beall B, Efstratiou A, Fischetti V, Johnson D, Kaplan E, et al. emm typing and validation of provisional M types for group A streptococci. Emerg Infect Dis 1999;5:247-53.

15. Lamagni TL, Efstratiou A, Vuopio-Varkila J, Jasir A, Schalen C, Strep E. The epidemiology of severe Streptococcus pyogenes associated disease in Europe. Euro Surveill 2005;10:179-84.

16. O’Loughlin RE, Roberson A, Cieslak PR, Lynfield R, Gershman K, Craig A, et al. The epidemiology of invasive group A streptococcal infection and potential vaccine implications: United States, 2000-2004. Clin Infect Dis 2007;45:853-62.

17. Steer AC, Law I, Matatolu L, Beall BW, Carapetis JR. Global emm type distribution of group A streptococci: systematic review and implications for vaccine development. Lancet Infect Dis 2009;9:611-6.

18. Sanderson-Smith M, De Oliveira DM, Guglielmini J, McMillan DJ, Vu T, Holien JK, et al. A systematic and functional classification of Streptococcus pyogenes that serves as a new tool for molecular typing and vaccine development. J Infect Dis 2014;210:1325-38.

19. Imperi M, Pittiglio V, D’Avenio G, Gherardi G, Ciammaruconi A, Lista F, et al. A new genotyping scheme based on MLVA for inter-laboratory surveillance of Streptococcus pyogenes. J Microbiol Methods 2016;127:176-81.

20. Clinical and Laboratory Standards Institute (CLSI). Performance standards for antimicrobial susceptibility testing, 25th informational supplement. M100-S25. Wayne; PA, 2015.

21. Kim SW, Lee SJ, Park HW, Kim SJ. Predominance of emm4 and antibiotic resistance of Streptococcus pyogenes in acute pharyngitis in a southern region of Korea. J Med Microbiol 2019;68:1053-58.

22. Choi JH, Yang NR, Lee JW, Lee HJ, Choi EH, Lee HJ. Distribution of emm types among group A Streptococcus isolates from children in Korea. Diagn Microbiol Infect Dis 2015;82:26-31.

23. Kim HH, Oun JS, Yoo JI, Hwang HK. Genetic distribution of Streptococcus pyogenes isolated through a surveillance system to assess respiratory infection pathogens in Korea. Division of Bacterial Diseases, Center for Laboratory Control of Infectious Disease, KCDC 2007-2018. https://www.kdca.go.kr/upload_comm/syview/doc.html?fn=157415864054300.pdf&rs=/upload_comm/docu/0031/ [Online] (last visited on 24 November 2021).

24. Park DW, Kim SH, Park JW, Kim MJ, Cho SJ, Park HJ, et al. Incidence and characteristics of scarlet fever, South Korea, 2008-2015. Emerg Infect Dis 2017;23:658-61.

25. Liu YM, Zhao JZ, Li BB, Yang JY, Dong XG, Zhang JJ, et al. A report on the first outbreak of a single clone group A Streptococcus (emm-type 89) tonsillopharyngitis in China. J Microbiol Immunol Infect 2014;47:542-5.

26. Tamayo E, Montes M, Garcia-Arenzana JM, Perez-Trallero E. Streptococcus pyogenes emm-types in northern Spain; population dynamics over a 7-year period. J Infect 2014;68:50-7.

27. Dale JB, Smeesters PR, Courtney HS, Penfound TA, Hohn CM, Smith JC, et al. Structure-based design of broadly protective group A streptococcal M protein-based vaccines. Vaccine 2017;35:19-26.

Table 1
Table 2
Table 3

1. Rantala S, Vuopio-Varkila J, Vuento R, Huhtala H, Syrjanen J. Predictors of mortality in betahemolytic streptococcal bacteremia: a population-based study. J Infect 2009;58:266-72.

2. Steer AC, Jenney A, Kado J, Good MF, Batzloff M, Waqatakirewa L, et al. Prospective surveillance of invasive group a streptococcal disease, Fiji, 2005-2007. Emerg Infect Dis 2009;15:216-22.

3. Safar A, Lennon D, Stewart J, Trenholme A, Drinkovic D, Peat B, et al. Invasive group A streptococcal infection and vaccine implications, Auckland, New Zealand. Emerg Infect Dis 2011;17:983-9.

4. Carapetis JR, Steer AC, Mulholland EK, Weber M. The global burden of group A streptococcal diseases. Lancet Infect Dis 2005;5:685-94.

5. Walker MJ, Barnett TC, McArthur JD, Cole JN, Gillen CM, Henningham A, et al. Disease manifestations and pathogenic mechanisms of Group A Streptococcus. Clin Microbiol Rev 2014;27:264-301.

6. Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380:2095-128.

7. Fischetti VA. Vaccine approaches to protect against aroup A streptococcal pharyngitis. Microbiol Spectr 2019;7:3.

8. Baroux N, D’Ortenzio E, Amedeo N, Baker C, Ali Alsuwayyid B, Dupont-Rouzeyrol M, et al. The emm-cluster typing system for group A Streptococcus identifies epidemiologic similarities across the Pacific region. Clin Infect Dis 2014;59:e84-92.

9. Gherardi G, Vitali LA, Creti R. Prevalent emm types among invasive GAS in Europe and North America since year 2000. Front Public Health 2018;6:59.

10. McMillan DJ, Sanderson-Smith ML, Smeesters PR, Sriprakash KS. Molecular markers for the study of streptococcal epidemiology. In: Chhatwal G, ed. Host-pathogen interactions in streptococcal diseases. Current topics in microbiology and immunology. Berlin; Springer, 2012:29-48.

11. Bisno AL, Brito MO, Collins CM. Molecular basis of group A streptococcal virulence. Lancet Infect Dis 2003;3:191-200.

12. Smeesters PR, McMillan DJ, Sriprakash KS. The streptococcal M protein: a highly versatile molecule. Trends Microbiol 2010;18:275-82.

13. Beall B, Facklam R, Thompson T. Sequencing emm-specific PCR products for routine and accurate typing of group A streptococci. J Clin Microbiol 1996;34:953-8.

14. Facklam R, Beall B, Efstratiou A, Fischetti V, Johnson D, Kaplan E, et al. emm typing and validation of provisional M types for group A streptococci. Emerg Infect Dis 1999;5:247-53.

15. Lamagni TL, Efstratiou A, Vuopio-Varkila J, Jasir A, Schalen C, Strep E. The epidemiology of severe Streptococcus pyogenes associated disease in Europe. Euro Surveill 2005;10:179-84.

16. O’Loughlin RE, Roberson A, Cieslak PR, Lynfield R, Gershman K, Craig A, et al. The epidemiology of invasive group A streptococcal infection and potential vaccine implications: United States, 2000-2004. Clin Infect Dis 2007;45:853-62.

17. Steer AC, Law I, Matatolu L, Beall BW, Carapetis JR. Global emm type distribution of group A streptococci: systematic review and implications for vaccine development. Lancet Infect Dis 2009;9:611-6.

18. Sanderson-Smith M, De Oliveira DM, Guglielmini J, McMillan DJ, Vu T, Holien JK, et al. A systematic and functional classification of Streptococcus pyogenes that serves as a new tool for molecular typing and vaccine development. J Infect Dis 2014;210:1325-38.

19. Imperi M, Pittiglio V, D’Avenio G, Gherardi G, Ciammaruconi A, Lista F, et al. A new genotyping scheme based on MLVA for inter-laboratory surveillance of Streptococcus pyogenes. J Microbiol Methods 2016;127:176-81.

20. Clinical and Laboratory Standards Institute (CLSI). Performance standards for antimicrobial susceptibility testing, 25th informational supplement. M100–S25. Wayne; PA, 2015.

21. Kim SW, Lee SJ, Park HW, Kim SJ. Predominance of emm4 and antibiotic resistance of Streptococcus pyogenes in acute pharyngitis in a southern region of Korea. J Med Microbiol 2019;68:1053-58.

22. Choi JH, Yang NR, Lee JW, Lee HJ, Choi EH, Lee HJ. Distribution of emm types among group A Streptococcus isolates from children in Korea. Diagn Microbiol Infect Dis 2015;82:26-31.

23. Kim HH, Oun JS, Yoo JI, Hwang HK. Genetic distribution of Streptococcus pyogenes isolated through a surveillance system to assess respiratory infection pathogens in Korea. Division of Bacterial Diseases, Center for Laboratory Control of Infectious Disease, KCDC 2007-2018. https://www.kdca.go.kr/upload_comm/syview/doc.html?fn=157415864054300.pdf&rs=/ upload_comm/docu/0031/ [Online] (last visited on 24 November 2021).

24. Park DW, Kim SH, Park JW, Kim MJ, Cho SJ, Park HJ, et al. Incidence and characteristics of scarlet fever, South Korea, 2008-2015. Emerg Infect Dis 2017;23:658-61.

25. Liu YM, Zhao JZ, Li BB, Yang JY, Dong XG, Zhang JJ, et al. A report on the first outbreak of a single clone group A Streptococcus (emm-type 89) tonsillopharyngitis in China. J Microbiol Immunol Infect 2014;47:542-5.

26. Tamayo E, Montes M, Garcia-Arenzana JM, Perez-Trallero E. Streptococcus pyogenes emmtypes in northern Spain; population dynamics over a 7-year period. J Infect 2014;68:50-7.

27. Dale JB, Smeesters PR, Courtney HS, Penfound TA, Hohn CM, Smith JC, et al. Structurebased design of broadly protective group a streptococcal M protein-based vaccines. Vaccine 2017;35:19-26.