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Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 2018 Apr 25;56(5):e01990-17. doi: 10.1128/JCM.01990-17

Identification and Characterization of Clostridium difficile Sequence Type 37 Genotype by Matrix-Assisted Laser Desorption IonizationTime of Flight Mass Spectrometry

Ruxin Li a,*, Di Xiao b, Jing Yang a, Suju Sun c, Samuel Kaplan h, Zhirong Li a, Yanan Niu a, Cuixin Qiang a, Yu Zhai a, Xiaoming Wang a, Xingzhen Zhao a, Baoxin Zhao a, Martin Welker d, David H Pincus e, Dazhi Jin f, Mini Kamboj h, Guanghui Zheng g, Guojun Zhang g, Jianzhong Zhang b, Yi-Wei Tang h,i,, Jianhong Zhao a,
Editor: Robin Patelj
PMCID: PMC5925732  PMID: 29467194

ABSTRACT

Clostridium difficile multilocus sequence type 37 (ST37), which mainly corresponds to ribotype 017, has been a dominant genotype circulating in China. In this study, we report the use of matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) to analyze and characterize 204 C. difficile clinical isolates, including 49 ST37 and 155 non-ST37 isolates collected in China and other countries. The distributions of two major protein peaks (m/z 3,242 and 3,286) were significantly different between ST37 and non-ST37 prototype strains and clinical isolates. This difference was reproducible when analysis was performed on different colonies in different runs. This finding was repeated and confirmed by both bioMérieux Vitek MS and Bruker Microflex LT systems on isolates recovered from a variety of geographic regions worldwide. The combination of the two peaks was present in 47 of 49 ST37 isolates, resulting in a sensitivity of 95.9%. In contrast, the peak combination was absent in 153 of 155 non-ST37 isolates, resulting in a specificity of 98.7%. Our results suggest that MALDI-TOF MS is a rapid and reliable tool to identify C. difficile genotype ST37. Work is in progress to characterize the two molecules having peaks at m/z 3,242 and 3,286, which appear to be specific to C. difficile genotype ST37.

KEYWORDS: Clostridium difficile; genotype ST37; MALDI-TOF MS; m/z 3,242; m/z 3,286

INTRODUCTION

Clostridium difficile is a Gram-positive, anaerobic, spore-forming bacillus that is a major pathogenic bacterium in health care-associated diarrhea in developed countries (1, 2). Clinical symptoms associated with C. difficile infection (CDI) range from mild diarrhea to life-threatening pseudomembranous colitis (PMC) (3). Two toxins, toxin A (TcdA) and toxin B (TcdB), are primarily responsible for the pathogenicity of C. difficile (4, 5). In recent years, a toxin A-negative, toxin B-positive (AB+) C. difficile variant, mainly belonging to sequence type 37 (ST37) by multilocus sequence type (MLST) analysis and ribotype 017 by PCR-ribotyping, has been widely distributed in China and other countries (6, 7). Previous work (810) has demonstrated that ST37 C. difficile is the dominant strain in adult patients with CDI, albeit with limited prevalence data for colonization in healthy individuals. ST37 isolates have been associated with increased resistance to multiple antibiotics, including fluoroquinolones, macrolides, and lincomycin (11, 12). Severe clinical symptoms, as well as outbreaks in hospitals, have been reported for these AB+ C. difficile isolates, suggesting that this strain is a major public health problem (1315). Thus, identification for ST37 strains of C. difficile by a rapid and accurate method is of great clinical significance for the prevention and control of CDI.

Various molecular typing methods, including PCR-ribotyping, multilocus sequence type (MLST) analysis, and pulsed-field gel electrophoresis (PFGE) typing, have been widely used for genotyping and characterization of C. difficile isolates. Unfortunately, these methods are time-consuming, relatively costly, and complex, making them difficult for routine clinical use (16). Matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) has been widely applied in clinical microbiology laboratories for identification of pathogenic bacteria (1719). Rapid identification of microbes at species level is achieved by comparing protein fingerprint spectra, which are comprised of molecules ranging from m/z 2,000 to 20,000, with the established strain reference databases (20, 21). MALDI-TOF MS technology thus provides a rapid, accurate tool for identification of microbial pathogens (22, 23). In addition, differences between protein spectra determined by MALDI-TOF MS have been evaluated as a method for bacterial typing by identifying type-specific protein peaks in mass spectra that can be used as biomarkers to identify particular genotypes or subtypes (24, 25). This technology has also been reported to be useful for the identification of unique C. difficile genotypes, such as ribotype 001, 027, and 078/126 (26). The aim of this study was to identify and characterize potential MALDI-TOF MS biomarkers for rapid identification and characterization of C. difficile ST37 strains.

(This study was presented in part at the 10th World Congress of the World Society for Pediatric Infectious Diseases, Shenzhen, China, 2 to 5 December 2017.)

MATERIALS AND METHODS

C. difficile strains and clinical isolates.

C. difficile prototype strains, including ATCC BAA-1870 (ST1), 9689 (ST3), 43598 (ST37), 43255 (ST46), BAA-1812 (ST53), BAA-1382 (ST54) and BAA-1804 (ST63), were obtained from the American Type Culture Collection (Manassas, VA). A total of 204 C. difficile isolates were recovered from fecal specimens of patients with diarrhea or from healthy donors in China and other countries as previously described (8, 10, 27) (Table 1). All prototype strains and isolates were stored at −70°C in brain heart infusion broth with 10% glycerol until subsequent analyses. For subsequent experiments, all strains and clinical isolates were retrieved on Columbia blood agar (CBA; Oxoid, Cambridge, UK) plates and incubated at 37°C for 48 h under anaerobic conditions. A single bacterial colony with typical morphology was subcultured again on CBA plates and incubated under the same conditions for 48 h.

TABLE 1.

Sources and sequence types of clinical isolates recruited in this study

Geographic origin Sequence type Total no. of isolates
Hebei, China 37 31
3 29
54 23
2 14
35 13
8 5
26 5
48 5
205 5
Other STs 48
Hangzhou, China 37 5
Hong Kong, China 37 2
New York City, USA 37 8
3 6
South Korea 37 2
Singapore 37 1
35 1
Australia 2 1

DNA extraction, toxin gene analysis, and MLST analysis.

DNA was extracted from a single isolated colony using a TIANamp bacteria DNA kit (Tiangen Biotech, Beijing, China) according to the manufacturer's instructions. DNA samples were stored at −20°C until use. Toxin genes tcdA and tcdB were tested as described by Lemee et al. (28). MLST analysis was performed as previously described (16). In brief, fragments from seven genes (adk, atpA, dxr, glyA, recA, sodA, and tpi) were amplified and sequenced at Sangon Biotech (Shanghai, China) and analyzed at the Beijing Genomics Institute (Beijing, China). The DNA sequences of the seven genes were submitted to the MLST database (https://pubmlst.org/cdifficile/) to obtain the ST genotype.

MALDI-TOF sample preparation.

An ethanol/formic acid method was used for extraction of bacterial proteins, in which one-half to one 10-μl inoculation loop of fresh bacterial culture was thoroughly suspended in 300 μl of molecular-grade water and 900 μl ethanol was added. The components were mixed well and centrifuged at 13,000 × g for 2 min. After centrifugation, the supernatant was removed, and the pellets were air dried. Then, 20 μl of formic acid (70% in water) was added to the pellets and mixed. Finally, 20 μl of acetonitrile was added and mixed thoroughly. After centrifugation at 13,000 × g for 2 min, the supernatant containing the bacterial protein extract was transferred to a clean tube.

MALDI-TOF MS data acquisition.

The spectra were collected using two mass spectrometry systems, the bioMérieux Vitek MS and the Bruker Microflex LT. For analysis with the bioMérieux Vitek MS, 1 μl bacterial protein extract was transferred to a Vitek MS disposable slide (bioMérieux SA, Marcy-l'Étoile, France) and allowed to dry before overlaying with 1 μl of a saturated solution of α-cyano-4-hydroxycinnamic acid (α-CHCA) in 28% acetonitrile (CHCA matrix; bioMérieux SA) and dried in ambient air. Four spots were prepared for each sample. The Vitek MS MALDI-TOF MS was equipped with an N2 laser (λ = 337 nm). Spectra were collected in linear SARAMIS RUO mode, in the range of m/z 2,000 to m/z 20,000. The software used for data acquisition was LaunchPad (version 2.8; bioMérieux). Spectra were acquired in automatic mode by accumulating 100 profiles. Spectral data were automatically processed and exported as peak lists for analysis in SARAMIS. Escherichia coli strain ATCC 8739 was used for mass calibration instrument parameter optimization. For analysis with the Bruker Microflex LT, 1 μl bacterial protein extract was transferred to an MSP 96 ground steel sample target (Bruker Daltonik, Bremen, Germany) and allowed to dry at room temperature. Subsequently, the sample was overlaid with 1 μl of matrix (a saturated solution of α-cyano-4-hydroxycinnamic acid in 50% acetonitrile and 2.5% trifluoroacetic acid) and dried in ambient air. Twelve spots were prepared for each sample. The Microflex LT MALDI-TOF MS system was equipped with a 337-nm N2 laser. The molecular ions were measured in the linear positive-ion mode. The software used for the data acquisition was flexControl (version 3.0; Bruker Daltonik) software. The parameters used were as follows: mass range, 2,000 to 20,000 Da; ion source 1, 20 kV; ion source 2, 18.5 kV; lens, 8.45 kV; pulsed ion extraction, 320 ns; laser frequency, 20.0 Hz. A Bruker bacterial test standard (BTS255343; Bruker Daltonik) was used for mass calibration instrument parameter optimization. A peak was considered to be present when it was detected by the automated spectrum processing performed by the respective software programs.

Data analysis.

Data were analyzed using Statistical Package for Social Sciences (SPSS; Chicago, IL) version 21.0. As all peak values were nonnormally distributed, the Mann-Whitney U test was used to analyze correlations between peak values and STs. P values were calculated to assess the differences between spectra of ST37 and non-ST37 isolates, and a P value of ≤0.05 was considered statistically significant.

RESULTS

A total of 211 C. difficile isolates/strains, including seven ATCC reference strains and 204 clinical isolates, were included in the study. Among the 204 clinical isolates, 178 (87.3%), 5 (2.5%), 2 (1.0%), 2 (1.0%), 2 (1.0%), 1 (0.5%), and 14 (6.9%) were collected from Hebei, Hangzhou, Hong Kong, Singapore, South Korea, Australia, and New York City, respectively (Table 1).

We first compared C. difficile whole-cell mass spectra for ST37 and non-ST37 genotypes, using ATCC reference strains and several additional clinical isolates (Fig. 1). The mass spectra were acquired in the mass range of m/z 2,000 to 20,000. Approximately 80 peaks were detected per spectrum, with the highest peaks concentrated in the range of m/z 3,000 to 10,000. Based on the data analysis, two protein peaks (m/z 3,242 and 3,286) were identified as correlated with genotype ST37. Peak m/z 3,286 was present in the spectra of ST37 isolates and absent in those of non-ST37 isolates; peak m/z 3,242 of ST37 isolate spectra had significantly higher intensity values compared with those of non-ST37 isolates (Fig. 2B). This observation was repeated and confirmed using both bioMérieux Vitek MS and Bruker Microflex LT systems.

FIG 1.

FIG 1

Exemplary whole-cell mass spectra of C. difficile strains and isolates of ST37 (ATCC 43598, CD013, CD015, CD017, CD026, and CD126; red lines) and non-ST37 (ATCC BAA-1382, ATCC BAA-1804, ATCC BAA-1870, ATCC BAA-1812, CD105 (ST3), and CD151 (ST2); blue lines). The lower panel (b) shows an enlarged section of the full upper spectra (a).

FIG 2.

FIG 2

Cluster analysis of spectra of 49 ST37 isolates of different geographic origins. The dendrogram was computed in SARAMIS with a single-linkage agglomerative algorithm-based relative spectrum similarity (percentage of matching peaks within a tolerance of 0.08%). The dotted purple line indicates 65% similarity, which is generally the threshold for intraspecies similarity. Yellow, Hebei; green, Hangzhou; blue, New York; black, ATCC 43598.

We then assessed the reproducibility of our observations for an additional three ST37 and three non-ST37 isolates. Values of m/z 3,370 (ST37-nonspecific) and 3,242 and 3,286 (ST37-specific) were included for intra- and interexperimental variability analysis. Each of the six isolates was run either four or nine times in three experiments run on different days by three experimental operators. High intraexperimental coefficient of variation (CV) values were revealed for both ST37 (117 to 209%) and non-ST37 isolates (Table 2), while relatively low interexperimental CV values were noticed for both ST37 (51% for m/z 3,242, 44% for m/z 3,286, and 64% for m/z 3,370) and non-ST37 isolates (58% for m/z 3,242, 173% for m/z 3,286, and 48% for m/z 3,370). As presented in Table 2, in all three experiments, all three ST37 isolates possessed significantly higher intensity values at m/z 3,242 (P < 0.001) and at m/z 3,286 (P < 0.001) than non-ST37 isolates. In contrast, there was no statistical difference between ST37 and non-ST37 isolates in m/z 3,370 peak values (P > 0.05).

TABLE 2.

Experimental variability of peak height values in spectra of ST37 and non-ST37 isolatesa

Expt m/z Mean peak ht value (integrated in thousands) ± SD for following isolate of ST37 genotype:
Mean ± SD CV (%) Mean peak ht value (integrated in thousands) ± SD for following isolate of non-ST37 genotype:
Mean ± SD CV (%) ST37/non-ST37 ratio Mann-Whitney U P
CD001 CD038 CD090 CD003 CD045 CD086
1 3,242 1,219 ± 1,035 5,881 ± 5,483 1,516 ± 1,722 2,871 ± 3,899 136 25 ± 49 15 ± 26 8 ± 14 16 ± 32 200 179 51 <0.001
3,286 6,325 ± 6,151 19,169 ± 16,845 5,854 ± 6,131 10,449 ± 12,249 117 452 ± 861 0 0 151 ± 525 348 69 17 <0.001
3,370 14 ± 36 142 ± 203 280 ± 293 145 ± 227 157 5 ± 9 70 ± 99 41 ± 64 31 ± 56 181 5 296 0.193
2 3,242 941 ± 1,177 1,370 ± 3,142 832 ± 800 1,048 ± 1,928 184 11 ± 10 5 ± 7 7 ± 14 8 ± 11 138 131 16 <0.001
3,286 4,076 ± 5,084 5,082 ± 10,544 3,548 ± 3,215 4,236 ± 6,765 160 0 0 0 0 NA NA <0.001 <0.001
3,370 54 ± 86 10 ± 19 20 ± 31 31 ± 56 181 9 ± 12 4 ± 7 29 ± 28 13 ± 20 154 2 287 0.305
3 3,242 659 ± 693 9,448 ± 1,076 204 ± 144 3,437 ± 7,173 209 39 ± 50 26 ± 20 18 ± 28 28 ± 33 118 123 1 <0.001
3,286 1,266 ± 2,111 17,937 ± 15,370 459 ± 288 6,554 ± 11,682 178 0 0 0 0 NA NA <0.001 <0.001
3,370 197 ± 105 63 ± 127 17 ± 23 93 ± 118 127 24 ± 29 6 ± 7 17 ± 25 16 ± 22 138 6 50 0.182
a

For experimental conditions and the no. of replicates, see the text. NA, not applicable; SD, standard deviation; CV, coefficient of variation.

A total of 204 C. difficile clinical isolates collected from different geographic regions in China and other countries was analyzed for tcdA and tcdB patterns (Table 3). In addition to ST37, these isolates included 35 ST3, 24 ST54, 15 ST2, 14 ST35, 5 ST8, 5 ST26, 5 ST48, and 5 ST205 genotypes, as well as 34 other rare ST genotypes. For the 49 ST37 isolates, the sole tcdA or tcdB pattern was AB+. However, the 155 non-ST37 isolates were comprised of 124 (80.0%) A+B+, 1 (0.6%) AB+, and 30 (19.4%) AB. Notably, the only AB+ variant found to be a non-ST37 isolate was an ST81 genotype, which was recovered in Hebei, China (Table 3).

TABLE 3.

Molecular characteristics of ST37 and non-ST37 C. difficile isolates

Genotype Geographic origin No. of isolates tested MSa peak (no. present [%]) at m/z:
tcdA or tcdB phenotypeb
3,242 3,286 3,370 A+B+ AB+ AB
ST37 Hebei, China 31 31 (100) 30 (96.8) 30 (96.8) 0 (0) 31 (100) 0 (0)
Hangzhou, China 5 5 (100) 4 (80.0) 5 (100) 0 (0) 5 (100) 0 (0)
Asia Pacific region 5 5 (100) 5 (100) 5 (100) 0 (0) 5 (100) 0 (0)
New York, USA 8 8 (100) 8 (100) 1 (12.5) ND ND ND
All ST37 origins 49 49 (100) 47 (95.9) 41 (83.7)
Non-ST37 Hebei, China 147 62 (42.2) 1 (0.7) 135 (91.8) 116 (78.9) 1 (0.7) 30 (20.4)
Asia Pacific region 2 0 (0) 0 (0) 2 (100) 2 (100) 0 (0) 0 (0)
New York, USA 6 2 (33.3) 1 (16.7) 0 (0) ND ND ND
All non-ST37 origins 155 64 (41.3) 2 (1.3) 137 (88.4)
a

MS, mass spectrometry.

b

ND, not done.

The presence and absence of the m/z 3,242 and 3,286 peaks were then analyzed in the 204 clinical isolates using the C. difficile-universal m/z 3,370 peak as the control (Table 3). The m/z 3,370 peak was detected in majority of isolates tested. Among the 49 ST37 isolates, all but two isolates possessed both m/z 3,242 and 3,286 peaks. In contrast, among the 155 non-ST37 isolates, the combination of peaks m/z 3,242 and 3,286 was only detected in two isolates, namely, one ST81 isolate from Hebei and one ST3 isolate from New York. A cluster analysis based on full spectra of ST37 isolates revealed no significant difference in spectra of strains from different geographic origins (Fig. 2). The differing distributions of m/z 3,242 and 3,286 peaks between ST37 and non-ST37 isolates was consistent irrespective of the geographic origin of the strains. Accordingly, the combination of two peaks (m/z 3,242 and 3,286) had a sensitivity of 95.9% and a specificity of 98.7% for identification and characterization of C. difficile genotype ST37 by MALDI-TOF MS.

DISCUSSION

In this study, we describe a new strategy, based on MALDI-TOF MS, for the rapid identification of C. difficile genotype ST37. A set of particular peaks (m/z 3,242 and 3,286) appeared to be somewhat specific to ST37 C. difficile. Using these two peaks, the ST37 genotype can be quickly identified and differentiated from non-ST37 genotypes. In comparison to MLST technology, the method for identification of ST37 C. difficile based on MALDI-TOF MS is rapid, accurate, and cost-effective.

The peak combination of m/z 3,242 and 3,286 as a biomarker for ST37 strains has high specificity and sensitivity. Two widely used MALDI-TOF MS systems in clinical microbiology laboratories were included in this study; both produced satisfactory results for identification of the C. difficile ST37 genotype. Among the 204 clinical isolates studied, the two-peak combination was detected in one ST3 isolate, as well as in one ST81 isolate. It is worth noting that both ST81 and ST37 belong to clade 4, so the two genotypes may not be distinguishable because of their highly similar protein spectra. According to MLST analysis, there is only one allele variation between ST37 and ST81. Moreover, our previous data showed that the ribotype of the ST81 isolate was 017. Among the 31 ST37 isolates tested by PCR-ribotyping, all but one (CD044) were ribotype 017 (data not shown). It was reported in a general teaching hospital in Shanghai that, like ST37, the ST81 genotype had a much higher resistance rate to clindamycin and moxifloxacin (29). According to a recent report from China (30), non-ST37 isolates belonging to clade 4 are also seen in a certain proportion in the population of persons in China with C. difficile infection. Larger studies in China are being planned in order to include more non-ST37 isolates belonging to clade 4.

MALDI-TOF MS-based typing techniques have been used for the typing of many bacterial species, such as Escherichia coli (25, 31, 32), Staphylococcus aureus (33, 34), Streptococcus agalactiae (35), Streptococcus pneumoniae (36), Salmonella enterica (37), and Acinetobacter baumannii (38). Reil et al. successfully identified the C. difficile strains RT001, 027, and 078/126 using an extended MALDI-TOF MS system in 2011, while the RT017 strain, due to the low number of isolates, could not be identified (26). In this study, C. difficile genotype ST37 was successfully identified with a combination of two peaks (m/z 3,242 and 3,286). ST37 is one of the most common sequence types of C. difficile found in China that has a significantly different resistance pattern than others. The MALDI-TOF MS-based rapid identification method for C. difficile ST37 is likely to have an important impact in clinical practice (6, 11, 12).

In summary, C. difficile genotype ST37 possesses several unique genotypic and phenotypic characteristics, including increased antibiotic resistance and AB+ phenotype for the tcdA and tcdB genes; this strain currently circulates as a dominant strain in mainland China (810). A pilot proteomic analysis indicated that the presences of m/z 3,242 and 3,286 peaks cannot be explained by common postgenomic modifications, such as methylation. The two peaks, especially the m/z 3,242 peak, exist at a low level at the current detection sensitivity in some non-ST37 isolates. Additional studies are being done to characterize these two molecules with peaks at m/z 3,242 and 3,286 that appear to be specific for C. difficile genotype ST37.

ACKNOWLEDGMENTS

We thank medical technologists working in clinical laboratories in hospitals and centers for disease control and prevention in Hebei and Zhejiang Provinces and New York State for technical assistance.

This study was supported in part by a Natural Science Fund of Hebei Province grant (2013206450), a research contract between the Memorial Sloan Kettering Cancer Center and bioMérieux, Inc. (SK2012-0595), and an NIH/NCI P30 Cancer Center Support Grant (CA008748).

D.H.P. and M.W. are employees of bioMérieux, Inc., and bioMérieux SA, respectively. We declare that there are no conflicts of interest for the other authors.

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