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Infection & Chemotherapy logoLink to Infection & Chemotherapy
. 2016 Dec 12;48(4):285–293. doi: 10.3947/ic.2016.48.4.285

Current Situation of Antimicrobial Resistance and Genetic Differences in Stenotrophomonas maltophilia Complex Isolates by Multilocus Variable Number of Tandem Repeat Analysis

Ji-Young Rhee 1, Jae-Hoon Song 2,3, Kwan Soo Ko 3,4,
PMCID: PMC5204007  PMID: 28032486

Abstract

Background

Stenotrophomonas maltophilia is one of several opportunistic pathogens of growing significance. Several studies on the molecular epidemiology of S. maltophilia have shown clinical isolates to be genetically diverse.

Materials and Methods

A total of 121 clinical isolates tentatively identified as S. malophilia from seven tertiary-care hospitals in Korea from 2007 to 2011 were included. Species and groups were identified using partial gyrB gene sequences and antimicrobial susceptibility testing was performed using a broth microdilution method. Multi locus variable number of tandem repeat analysis (MLVA) surveys are used for subtyping.

Results

Based on partial gyrB gene sequences, 118 isolates were identified as belonging to the S. maltophilia complex. For all S. maltophilia isolates, the resistance rates to trimethoprime-sulfamethoxazole (TMP/SMX) and levofloxacin were the highest (both, 30.5%). Resistance rate to ceftazidime was 28.0%. 11.0% and 11.9% of 118 S. maltophilia isolates displayed resistance to piperacillin/tazobactam and tigecycline, respectively. Clade 1 and Clade 2 were definitely distinguished from the data of MLVA with amplification of loci. All 118 isolates were classified into several clusters as its identification.

Conclusion

Because of high resistance rates to TMP/SMX and levofloxacin, the clinical laboratory department should consider providing the data about other antimicrobial agents and treatment of S. maltophilia infections with a combination of antimicrobials can be considered in the current practice. The MLVA evaluated in this study provides a fast, portable, relatively low cost genotyping method that can be employed in genotypic linkage or transmission networks comparing to analysis of the gyrB gene.

Keywords: Sternotrophomonas maltophilia, Trimethoprime-sulfamethoxazole, Multi locus variable number of tandem repeat analysis

Introduction

Stenotrophomonas maltophilia is one of several opportunistic pathogens of growing significance and is one of the most common nonfermentative Gram-negative bacillus isolated from clinical specimens [1,2]. The British Society for Antimicrobial Chemotherapy (BSAC, version 10.2, 2011) recommends disk diffusion and dilution testing for trimethoprim-sulfamethoxazole (TMP/SMX) only, while the Clinical and Laboratory Standards Institute (CLSI) recommends dilution testing for TMP/SMX, ceftazidime, chloramphenicol, levofloxacin, minocycline, and ticarcillin-clavulanate, and disk diffusion testing for only TMP/SMX, levofloxacin, and minocycline [3].

Several studies on the molecular epidemiology of S. maltophilia have shown clinical isolates to be genetically diverse [3,4]. Genotypic profiles have been determined by various methods, including restriction fragment length polymorphism analysis of the gyrB gene or the intergenic region between smeD and smeT genes, amplified fragment length polymorphism fingerprinting, Enterobacterial Repetitive Intergenic Consensus-PCR (ERIC-PCR), Multilocus sequence typing (MLST), and pulsed-field gel electrophoresis (PFGE) analysis [5,6]. Changes in the number of repeats among isolates can be checked by multilocus variable number of tandem repeat analysis (MLVA) surveys are used for subtyping purposes [5,7]. MLVA assays provide results that parallel PFGE data [5]. The MLVA technique involves amplification and size analysis of polymorphic DNA regions containing variable numbers of tandem repeated sequences, and is an established method to classify isolates of microbial species [8].

S. maltophilia GTAG (SMAGs) make up approximately 0.5% of the K279a genome, and are spread throughout the chromosome either as single units, or in pairs, separated by 5–80 bp long spacers [5]. The size of the SMAG family is shown for repetitive extragenic palindromic sequences [5]. SMAGs are reiterated in tandem at multiple chromosomal loci, along with tracts of variable length of DNA. The occurrence of SMAG arrays to set up PCR-based typing protocols, and comparison of the electrophoresis sizing observations was by DNA sequencing of selected PCR products.

Studies on the antimicrobial susceptibility of S. maltophilia treated with various antimicrobial agents including TMP/SMX, ceftazidime, chloramphenicol, levofloxacin, minocycline, piperacillin-tazobactam, ticarcillin-clavulanate, and tigecycline have been performed [3,4,9,10,11,12]. Infections caused by S. maltophilia are particularly difficult to manage because they show resistance to many classes of antimicrobial agents [9,10,11,12,13]. However, only two studies have focused on the antimicrobial susceptibility of S. maltophilia in Korea [3,14].

The aim of this study was to determine the antimicrobial susceptibility of recent clinical S. maltophilia complex isolates from Korea and the clonality of the clinical S. maltophilia should be assessed in order to detect genotype relationships. This study was undertaken to determine whether the strains could be rapidly and accurately genotyped with MLVA.

Materials and Methods

1. Bacterial isolates

A total of 121 clinical isolates tentatively identified as S. malophilia were included in this study. They were collected from seven tertiary-care hospitals in Korea from 2007 to 2011 and were identified conventionally using VITEK2 systems (bioMérieux, Inc., Haselwood, MO, USA) in the hospitals’ clinical microbiology laboratories. Among them, 85 isolates were from blood, and the others were from sputum (9 isolates), urine (8 isolates), endotracheal aspirate (5 isolates), transtracheal aspirate (5 isolates), bile (3 isolates), pericardial fluid (2 isolates), pus (2 isolates), and discharge from ear (1 isolate). The source of one isolate was unknown. 98 isolates were from intensive care unit.

2. Species identification

To identify the Stenotrophomonas spp. isolates, we determined the partial gyrB gene sequence of all isolates using XgyrB1F/XgyrB1R (5’-ACGAGTACAACCCGGACAA-3’ / 5’-CCCATCARGGTGCTGAAGAT-3’), which amplifies one of the variable regions of the gyrB gene, region2 [15,16]. Ambiguous gyrB gene sequences from three isolates were excluded in further analyses. We published these results previously [15].

3. Antimicrobial susceptibility testing

In vitro susceptibility testing was performed with 118 isolates identified as belonging to the S. maltophila complex in this study using the broth microdilution method according to the CLSI guidelines for five antimicrobial agents including ceftazidime, levofloxacin, piperacillin/tazobactam, TMP/SMX, and tigecycline [17]. The broth microdilution method always tends to give slightly higher minimum inhibitory concentrations (MICs), indicating its potency in the identification of isolates resistant to TMP/SMX because of trailing endpoints with TMP/SMX in the broth microdilution method [18]. TMP/SMX was tested by using the standard agar dilution method according to the CLSI guidelines [12]. The interpretive criteria used were those established in the CLSI standard M100-S21 [19]. Regarding tigecycline, interpretive criteria were defined based on the USA-FDA breakpoint criteria for Enterobacteriaceae (susceptible ≤2 mg/L, intermediate 4 mg/L, and resistant ≥8 mg/L). Escherichia coli ATCC25922 and Pseudomonas aeruginosa ATCC27853 were used as control strains. Multi-drug resistant (MDR) isolate was defined as one showing resistance to two or more antimicrobial agents [1].

4. Multilocus variable number of tandem repeat analysis (MLVA)

The DNA of single colonies derived from the final subcultures was analyzed by PCR amplification of DNA regions of interest. Genomic DNA was extracted and PCR reactions were carried out by incubating 20 ng of DNA with 160 ng of each primer in the presence of dXTPs (200 nanomoles), 1.5mM magnesium chloride and the Taq DNA polymerase Recombinant (Invitrogen, Midland, ON, Canada). Because of the high GC content of the S. maltophilia genome (> 66%), all PCR reactions were carried out in GC-rich buffer (Roche, Alameda, CA, USA) [5]. The oligomers used as primers, and the annealing temperatures, are from the paper by Emanuela Roscetto et al, 2008 [5]. Samples were incubated at 95°C for 5 minutes, and subsequently for 1 minute at 95°C, 1 minute at the annealing temperature and 1 minute at 72°C, for a total of 3 cycles. At the end of the cycle, samples were kept at 72°C for 7 minutes before harvesting. PCR products were electrophoresed on 1.5–2% agarose gels in 0.5×TBE buffer (45 mM Tris pH 8, 45 mM Borate, 0.5 mM EDTA) at 120 V (constant voltage). The 100 bp ladder (Fermentas, Carlsbad, CA, USA) was used as molecular weight marker [13]. PCR products were resolved by agarose electrophoresis in 1.5% multipurpose agarose gel (Fermentas, France), stained with ethidium bromide and photographed under UV light (BioRad, Berkeley, CA, USA).

PCR fragment length estimation of the SMAGs alleles was by reference to a 100-bp DNA size standard. Confirmation of the electrophoresis sizing observations was by DNA sequencing of selected PCR products.

5. Data analysis and statistics.

Cluster analysis of the MLVA typing data was performed in PHYLOVIZ softwear (downloading from http://www.phyloviz.net/) with the results of amplification and size analysis of polymorphic DNA regions containing variable numbers of tandemly repeated sequences of S. maltophilia complex isolates. Data were analyzed using SPSS 11.0 for Windows 2000 (SPSS, Chicago, IL, USA). Categorical data were tested using Chi-square analysis. Differences were considered statistically significant at a P-value of <0.05 for all tests. 

Results

1. Antimicrobial susceptibility testing

Table 1 shows the MICs of antimicrobial agents and the resistance rates of the S. maltophilia complex isolates tested. For all S. maltophilia complex isolates, the resistance rates to TMP/SMX and levofloxacin were the highest (both were 30.5%) among five antimicrobial agents (Table 1). MIC50 and MIC90 of TMP/SMX were 2/38 and 32/608 mg/L, respectively. Resistance rate to ceftazidime was 28.0%. 11.0% and 11.9% of 118 S. maltophilia complex isolates displayed resistance to piperacillin/tazobactam and tigecycline, respectively. Thirty-eight MDR isolates (32.2%) were identified.

Table 1. Antimicrobial activity of antimicrobial agents against the 118 tested clinical Stenotrophomonas maltophilia complex isolates.

Agent MIC (µg/mL) Number of isolates (%)
MIC50 MIC90 Susceptible Resistant
Ceftazidime 8 64 70 (59.3) 33 (28.0)
Levofloxacin 2 16 61 (51.7) 36 (30.5)
TMP/SMX 2/38 32/608 82 (69.5)a 36 (30.5)a
65 (55.1) 53 (44.9)
TZP 16/4 128/4 84 (71.2) 13 (11.0)
Tigecycline 2 8 83 (70.3) 14 (11.9)
MDR 38 (32.2)

aResults from standard agar dilution methods

MIC, minimum inhibitory concentration; TMP/SMX, trimethoprim-sulfamethoxazole; TZP, piperacillin/tazobactam; MDR, multidrug resistance

2. Multilocus variable number of tandem repeat analysis (MLVA)

Considering previous identification of S. maltophilia complex, there were scattered clustering of S. maltophilia complex without relationship to identification in all data from amplification of 12 selected SMAGs loci, because the results showed that the majority of the isolates were not amplified successfully in loci I, IV, VI, and X. The number of alleles at each of the loci ranged from 0 to 21 numbers of allele repeat units on the 118 isolates analyzed (Table 2). The clonal profiles of the 118 S. maltophilia isolates were determined by random primer PCR fingerprinting and divided into two groups (clade A and B) as described previous study [15]. Antimicrobial resistance rates were varied by species or groups of S. maltophilia complex. Isolates of Clade A showed significantly lower antimicrobial resistance rates than those of Clade B as previous study [15]. Clade A and Clade B were also definitely distinguished from the data of MLVA with amplification of loci. All 118 isolates were classified into several clusters as its identification (Fig. 1).

Table 2. MLVA data from amplification of 12 selected SMAGs loci of Stenotrophomonas maltophilia .

No. Classification No. gyrB Species I II III IV V VI VII VIII IX X XI XII
1 12001 Spav S. pavanii 2 4 4 1 0 4 0 3
2 21133 Smal I S. maltophilia I-2 6 1 1 1 3 12 4 1 5 4 5 3
3 ambiguous gyrB gene sequences
4 21201 Smal I S. maltophilia I-2 11 1 1 2 3 10 4 1 5 6 5 2
5 21101 Smal I S. maltophilia I-1 6 1 2 3 4 11 3 3 5 3 5 3
6 11101 Smal II S. maltophilia II-1 2 3 0 1 0 1 1 1
7 13001 Smal III S. maltophilia III 2 1 2 0 4 1 2 2 1
8 21102 Smal I S. maltophilia I-1 1 2 4 3 0 2 4 2
9 21103 Smal I S. maltophilia I-1 11 1 2 3 4 12 4 1 6 18 4 3
10 21104 Smal I S. maltophilia I-1 1 2 4 3 0 2 4 3
11 14001 Pbet P. beteli 1 2 0 2 0 0 1 2 0 0
12 13002 Smal III S. maltophilia III 2 1 0 15 0 1 1 1
13 21105 Smal I S. maltophilia I-1 1 2 4 2 0 3 3 3
14 22001 Pgen P. geniculata 1 1 0 2 0 3 1 2 2 2 1
15 21106 Smal I S. maltophilia I-1 8 1 2 4 4 3 3 3 5 5 5 3
16 21107 Smal I S. maltophilia I-1 1 2 2 3 0 2 4 3
17 11301 Smal II S. maltophilia II-3 3 4 0 1 0 4 1 2
18 11102 Smal II S. maltophilia II-1 2 3 1 1 0 1 1 2
19 21202 Smal I S. maltophilia I-2 1 1 2 2 1 3 4 2
20 11103 Smal II S. maltophilia II-1 2 3 0 1 0 2 1 4
21 21108 Smal I S. maltophilia I-1 2 1 2 2 3 12 2 1 1 4 1 3
22 13003 Smal III S. maltophilia III 2 1 0 21 0 1 1 1
23 12002 Spav S. pavanii 2 4 3 1 0 4 4 3
24 12003 Spav S. pavanii 2 4 3 3 0 3 5 2
25 21109 Smal I S. maltophilia I-1 3 1 2 0 2 10 2 2 1 1 5 2
26 11201 Smal II S. maltophilia II-2 2 2 0 1 0 1 1 1
27 12004 Spav S. pavanii 2 4 3 1 0 4 0 3
28 11104 Smal II S. maltophilia II-1 2 3 1 1 0 1 1 2
29 11105 Smal II S. maltophilia II-1 2 3 1 1 0 1 1 2
30 11302 Smal II S. maltophilia II-3 4 3 4 1 4 0 3 1 2 2 4
31 11106 Smal II S. maltophilia II-1 2 3 2 2 4 1 1 1 2 4
32 23001 Phib P. hibisciola 2 1 0 2 2 3 2 2 4 2 1
33 11107 Smal II S. maltophilia II-1 2 3 1 1 0 2 1 4
34 13004 Smal III S. maltophilia III 2 1 0 15 0 1 1 1
35 12005 Spav S. pavanii 2 4 2 1 0 3 4 3
36 11202 Smal II S. maltophilia II-2 2 2 0 1 0 1 1 3
37 21110 Smal I S. maltophilia I-1 2 1 2 2 4 12 3 1 1 4 1 4
38 11108 Smal II S. maltophilia II-1 2 2 3 1 4 3 1 1 1 4 2 4
39 12006 Spav S. pavanii 2 4 3 1 0 4 4 3
40 21111 Smal I S. maltophilia I-1 1 2 3 3 0 1 2 3
41 12007 Spav S. pavanii 2 4 4 3 0 3 7 5
42 11109 Smal II S. maltophilia II-1 5 2 3 2 3 4 1 1 1 4 2 4
43 12008 Spav S. pavanii 2 4 1 2 0 4 6 2
44 21112 Smal I S. maltophilia I-1 1 2 4 5 0 2 3 2
45 21113 Smal I S. maltophilia I-1 1 2 4 5 1 4 3 3
46 11110 Smal II S. maltophilia II-1 2 3 1 1 0 2 1 4
47 12009 Spav S. pavanii 2 4 1 3 0 4 6 2
48 21203 Smal I S. maltophilia I-2 1 1 2 4 1 2 4 3
49 11111 Smal II S. maltophilia II-1 2 3 1 1 0 2 1 4
50 12010 Spav S. pavanii 2 4 1 3 0 4 5 3
51 11112 Smal II S. maltophilia II-1 2 3 1 1 0 2 1 4
52 11113 Smal II S. maltophilia II-1 2 3 1 1 0 1 1 1
53 21114 Smal I S. maltophilia I-1 1 2 2 4 0 2 4 3
54 21115 Smal I S. maltophilia I-1 1 2 2 2 0 1 4 1
55 11203 Smal II S. maltophilia II-2 2 2 0 1 0 1 1 1
56 22002 Pgen P. geniculata 1 0 2 0 3 1 1 1 2
57 21116 Smal I S. maltophilia I-1 1 2 2 2 1 2 2 3
58 11303 Smal II S. maltophilia II-3 3 4 0 2 0 1 2 1
59 21117 Smal I S. maltophilia I-1 1 2 2 2 0 1 4 1
60 11114 Smal II S. maltophilia II-1 5 2 3 2 4 4 1 1 1 4 2 4
61 21118 Smal I S. maltophilia I-1 2 1 2 1 3 10 3 2 1 1 5 3
62 26001 Smal IV B0811-107 3 1 1 2 0 3 2 2 0 1
63 11115 Smal II S. maltophilia II-1 2 3 2 5 4 1 1 1 2 4
64 11116 Smal II S. maltophilia II-1 2 3 2 2 4 1 1 1 4 2 4
65 21119 Smal I S. maltophilia I-1 11 1 2 2 4 3 4 3 5 5 5 4
66 11204 Smal II S. maltophilia II-2 2 2 2 2 2 0 2 1 2 4 2 1
67 21120 Smal I S. maltophilia I-1 1 1 2 2 4 12 4 1 1 4 1 3
68 22003 Pgen P. geniculata 1 1 0 2 0 3 1 2 4 2 1
69 21204 Smal I S. maltophilia I-2 4 1 1 1 3 10 5 1 5 5 5 3
70 22004 Pgen P. geniculata 2 1 0 2 0 4 1 2 2 2 1
71 12011 Spav S. pavanii 2 4 3 2 0 4 5 3
72 12012 Spav S. pavanii 2 4 1 2 0 4 6 3
73 11205 Smal II S. maltophilia II-2 2 2 2 2 2 0 3 1 2 2 1
74 11117 Smal II S. maltophilia II-1 2 3 1 1 0 2 1 4
75 21205 Smal I S. maltophilia I-2 5 1 1 1 2 10 6 2 5 4 5 4
76 12013 Spav S. pavanii 2 2 4 4 6 4 0 7 9 3
77 13005 Smal III S. maltophilia III 2 2 2 2 0 4 1 2 2 1
78 11206 Smal II S. maltophilia II-2 2 2 0 1 0 1 1 1
79 12014 Spav S. pavanii 2 4 0 2 0 4 5 3
80 21121 Smal I S. maltophilia I-1 3 1 2 0 2 10 3 3 1 1 5 2
81 21122 Smal I S. maltophilia I-1 7 1 2 3 5 12 6 1 1 4 3
82 13006 Smal III S. maltophilia III 2 1 1 4 0 1 1 1
83 13007 Smal III S. maltophilia III 2 1 0 3 0 1 1
84 25001 08-B-253 1 1 0 1 2 0 0 0
85 21123 Smal I S. maltophilia I-1 7 1 2 3 4 1 5 3 1 5 4 2
86 11118 Smal II S. maltophilia II-1 2 3 0 1 0 2 0 4
87 ambiguous gyrB gene sequences 3 4
88 12015 Spav S. pavanii 2 4 1 3 0 4 6 3
89 21124 Smal I S. maltophilia I-1 7 1 2 0 4 4 4 3 0 1 5 3
90 12016 Spav S. pavanii 2 4 1 3 0 4 4 3
91 12017 Spav S. pavanii 2 4 3 3 0 4 1 3
92 21125 Smal I S. maltophilia I-1 7 1 2 0 4 3 2 3 1 18 4 3
93 14002 Pbet P. beteli 2 2 0 2 0 0 3 2 0 0
94 15001 K01-43 2 2 0 2 0 1 2 2 0 3
95 11119 Smal II S. maltophilia II-1 2 3 0 1 0 1 2 1
96 21126 Smal I S. maltophilia I-1 1 2 3 3 2 2 1 3
97 11120 Smal II S. maltophilia II-1 3 2 3 2 2 3 1 1 2 2 5
98 21206 Smal I S. maltophilia I-2 7 1 1 4 2 7 5 1 1 5 4
99 22005 Pgen P. geniculata 10 1 0 0 9 0 4 1 2 4 2
100 11121 Smal II S. maltophilia II-1 2 3 1 1 0 1 1 1
101 11122 Smal II S. maltophilia II-1 2 3 2 2 4 1 1 2 2 1
102 11123 Smal II S. maltophilia II-1 2 3 1 1 0 1 0 1
103 22006 Pgen P. geniculata 2 1 0 2 0 4 1 2 2 1
104 ambiguous gyrB gene sequences -5
105 24001 Sarf S. africana 2 1 2 2 0 4 1 2 2 1
106 21127 Smal I S. maltophilia I-1 2 1 2 2 2 7 4 1 6 5 1 3
107 11124 Smal II S. maltophilia II-1 2 3 1 1 0 1 1 1
108 21128 Smal I S. maltophilia I-1 1 2 2 3 1 1 1 3
109 21129 Smal I S. maltophilia I-1 8 1 2 3 5 6 6 1 3 5 4 2
110 22007 Pgen P. geniculata 2 1 0 2 0 3 1 2 4 2 1
111 11125 Smal II S. maltophilia II-1 2 3 1 2 4 1 1 1 4 2 4
112 22008 Pgen P. geniculata 1 1 0 1 2 0 3 1 2 4 2 1
113 11126 Smal II S. maltophilia II-1 2 3 1 1 0 1 1 1
114 11127 Smal II S. maltophilia II-1 2 3 1 1 0 1 1 2
115 12018 Spav S. pavanii 2 4 1 3 0 4 5 3
116 22009 Pgen P. geniculata 1 1 0 2 0 3 1 2 3 2 1
117 21130 Smal I S. maltophilia I-1 1 2 3 5 0 2 2 4
118 21131 Smal I S. maltophilia I-1 2 1 2 1 2 7 4 1 3 2 1 3
119 22010 Pgen P. geniculata 1 1 0 2 0 3 1 2 2 1
120 21132 Smal I S. maltophilia I-1 2 1 2 1 3 7 4 1 3 2 1 3
121 11128 Smal II S. maltophilia II-1 2 3 2 1 0 2 1 4

The PCR products derived from the amplification of loci I to XII in the listed strains are labeled with the number of SMAG repeats present.

MLVA, multi locus variable number of tandem repeat analysis; SMAG, Sternotrophomonas maltophilia GTAG; PCR, Polymerase Chain Reaction.

Figure 1.

Figure 1

Dendrogram demonstrating genetic disimilarity of 118 Stenotrophomonas maltophilia complex isolates based on MLVA genotyping method in amplifications of all eight SMAGs loci.

Considering previous identification of S. maltophilia complex, there were also scatterred clustering of S. maltophilia complex with relationship to identification in all data from eight fully amplified loci II, III, V, VII, VIII, IX, XI and XII. All Pseudomonas geniculata were from one single hospital from previous identification study (Red arrow in Fig. 1). With hierarchical clustering, the MLVA profiles of the members of the 118 S. maltophilia complex were classified in all data from twelve SMAGs loci.

Discussion

TMP/SMX alone, or in combination with other agents is still considered the treatment of choice for suspected or culture-proven S. maltophilia infections. Resistance rates to TMP/SMX have been reported to vary geographically [1,2,3,14,19], but were generally less than 20%. However, isolates from cystic fibrosis patients and from patients in some Asian countries, such as Taiwan, as well as Turkey, showed high resistance rates (31.3-100%) [19,20]. The most notable finding in this study is the high resistance rate to TMP/SMX. Worldwide surveillance studies have shown relatively low resistance rates, varying from 4% to 20% [1,2,3,12,14,20]. A recent report from a Korean hospital also documented a low resistance rate of 6% to TMP/SMX using the agar dilution method [3]. For all clinical S. maltophilia complex isolates, the resistance rate to TMP/SMX was 45.5% with the broth microdilution test and 29.8% with the agar dilution test, which was an unexpected result. We re-confirmed that the broth microdilution method always tends to give slightly higher MICs, indicating its potency in identifying isolates resistant to TMP/SMX because of trailing endpoints with TMP/SMX in the broth microdilution method [18]. So, the broth microdilution method can be somewhat useful in clinical practice to detect potential resistant isolate. In the agar dilution test, the resistance rate to TMP/SMX was 30.5%. This rate was much higher than the rate in previous studies, although the patient group in this study did not include patients with cystic fibrosis who usually show high resistance rates to TMP/SMX according to previous studies. The resistance rate to levofloxacine was 30.5%, which was higher than the rates of 3 to 13% seen in a previous studies [3,12,13,14,20,21,22]. The tetracycline derivatives minocycline and tigecycline have shown good in vitro activity against clinical isolates of S. maltophilia [3]. Previous studies in Taiwan, Brazil, Spain, and the USA showed that there was no or low resistance to tigecycline [3,20,21,22]. However, this study showed that 11.9% of clinical 118 S. maltophilia complex isolates displayed resistance to tigecycline. The high resistance rates to TMP/SMX, levefloxacin, and tigecycline in this study should be noted.

The isolates showed low rates of susceptibilities (23 to 43%) to ceftazidime, ticarcillin-clavulanic acid, and piperacillin/tazobactam [23]. However, susceptibility rates to piperacillin/tazobactam and ceftazidime in this study were 71.2% and 59.3%, respectively, which were higher than the susceptibility rates in other studies [2,3].

As a whole, the most notable finding in this study is the high resistance rate to TMP/SMX. The differences in the TMP/SMX resistance rates between studies in Korea may be due to differences in tertiary hospitals, isolation periods, and numbers of isolates. In addition, most of our isolates (98 isolate) were from intensive care units. The high TMP/SMX resistance rate found in this study is of concern because the preferred treatment option of S. maltophilia infections is TMP/SMX [1]. Thus, continuous surveillance of antimicrobial resistance of S. maltophilia is recommended. In contrast to the high resistance to TMP/SMX and levofloxacin, piperacillin/tazobactam and tigecycline showed potent activities against S. maltophilia complex isolates. The resistance rate to the tigecycline was 11.9%, which was the highest resistance rate in the world. This relatively high resistance rate may lead to tigecycline being considered an alternative therapeutic option as a component of combination therapy [1,2]. Treatment strategies have included the use of select antibiotics in synergy [1]. Piperacillin/tazobactam can be a candidate for combination therapy in treating S. maltophilia because isolates show a high susceptibility rate to this combination. However, piperacillin/tazobactam cannot be used as monotherapeutic drugs to treat S. maltophilia because this microorganism has a high intrinsic resistance to most penicillins and cephalosporins, as well as to all carbapenems. Treatment of S. maltophilia infections with a combination of two or three antimicrobials can be considered in the current practice because S. maltophilia has a high resistance rate to TMP/SMX and levofloxacin. In clinical practice, the clinical laboratory department usually provides information about susceptibility to TMP/SMX and levofloxacin. Physicians usually choose one of these agents or both agents. Therefore, the clinical laboratory department should consider providing the data about other antimicrobial agents such as ceftazidime, piperacillin/tazobactam, and tigecycline to physicians.

We evaluated an MLVA to assess the molecular epidemiology of S.maltophilia complex. Studies based on MLST demonstrated that S. maltophilia isolates were heterogeneous, because several previously proposed species are recognized to be closely related with S. maltophilia (It might be referred to as ‘S. maltophilia complex’ including Stenotrophomonas pavanii, Stenotrophomonas africana, Pseudomonas geniculata, P. hibisciola, and P. beteli) [16,24,25]. Loci I, IV, VI, and X were not amplified successfully comparing to reference article [5]. We might postulate that unsuccessful amplification might related to genetically diversity of S. maltophilia clinical isolates [3,4,15,16,23,24]. In this study, MLVA of S. maltophilia isolates was somewhat heterogeneous, but large groups were distinguishable as clade A and B. Although the clustering based on MLVA was not found to link to any characteristics of isolates yet, it is important that the selected SMAGs loci used for typing S. maltophilia complex. The results of this study suggested that MLVA exhibited higher resolution in using SMAGs loci amplification. Amplification locus and the number of amplified loci are essential to investigate to obtain sufficiently large clusters without obscuring genotypic links. Epidemiologically, S. maltophilia isolates are genetically diverse, and thus clonal dissemination may be rare [16]. These results are in accordance with earlier studies demonstrating an elevated genetic diversity in S. maltophilia isolates even when recovered from the same hospital [6,23]. Although the isolates examined here exhibited high heterogeneity, homologous isolates (e.g., all P. geniculata from one hospital in Seoul) could be recovered from different patients on different ward and at different time points, which may suggest the settle-down of this species in particular hospital and the possibility horizontal transmission among patients (Table 3). These findings further reinforce the postulation that while S. maltophilia could be acquired by diverse routes, cross-transmission is also possible. Hence, management of S. maltophilia infections would be problematic as the agents may not behave uniformly and transmission may include multiple drug-resistant isolates. These results support efforts directed towards continuous surveillance for antimicrobial drug resistance and epidemiological monitoring, which may act as early warning systems for predicting resistance and preventing outbreaks. The MLVA evaluated in this study provides a fast, portable, relatively low cost genotyping method that can be employed in genotypic linkage or transmission networks comparing to gyrB analysis.

Table 3. Sources and antimicrobial activity of Pseudomonas geniculata from single hospital.

No. Collection year Ward Source MIC (ug/mL)
Tigecycline Ceftazidime TMP/SMX Levofloxacin TZP
14 2006 ICU Blood 0.25 16 4 : 76 1 16 : 4
58 2008 ICU Blood 4 16 64 : 1216 16 16 : 4
71 2009 ICU Blood 4 32 16 : 304 1 16 : 4
73 2009 GW Blood 0.5 8 0.25 : 4.75 1 4 : 4
102 2008 ICU Sputum 8 >64 64 : 1216 16 64 : 4
106 2010 GW Pus 2 >64 4 : 76 2 > 256 : 4
113 2011 GW Blood 1 4 32 : 608 2 8 : 4
115 2011 GW Sputum 4 >64 16 : 304 4 > 256 : 4
119 2011 ICU Blood 16 >64 16 : 304 32 > 256 : 4
122 2011 ICU Blood 16 >64 32 : 608 64 256 : 4

MIC, minimum inhibitory concentration; TMP/SMX, trimethoprim-sulfamethoxazole; TZP, piperacillin/tazobactam; ICU, intensive care unit; GW, general ward.

Footnotes

Conflict of Interest: No conflicts of interest.

References

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