Multilocus sequence typing of Candida albicans isolates from the oral cavities of patients undergoing haemodialysis.

This study evaluates the prevalence, diversity, and genetic profiles of Candida albicans isolates recovered from the oral cavities of haemodialysis patients. Oral swab samples were obtained from haemodialysis patients (n = 126) and healthy control subjects (n = 233) and Candida species were characterised. There was no significant difference between the haemodialysis and control groups in the prevalence of yeast carriers (23.6% vs. 31.0%, respectively) or C. albicans carriers (19.8% vs. 21.0%, respectively). C. albicans was the most populous species in both cohorts, followed by C. parapsilosis. C. parapsilosis and C. glabrata were more prevalent in the haemodialysis group than in the control group (C. parapsilosis 5.6% vs. 0.9% and C. glabrata 3.2% vs. 0.4%, respectively; P < 0.05). C. albicans isolates were analysed by multilocus sequence typing and the results were used to construct a phylogenetic tree. Most haemodialysis isolates were placed into Clade 4 (20.0%) and Clade 19 (16.0%) and most control isolates into Clade 8 (17%) and Clade 4 (14.9%). Differences in the strain abundance in each clade were not statistically significant between the two groups. Moreover, there was no significant association between the health status or diagnosis and either the sequence types or clades.

Introduction

In recent years, chronic kidney disease (CKD) has increased in both incidence and prevalence, and has become a worldwide public health problem. However, the lives of more than one million people worldwide have been extended by renal replacement therapy (haemodialysis or renal transplantation)[1-6]. A large-scale national survey in China in 2012 reported a prevalence of CKD of 10.8%[7,8]. CKD patients display an increased susceptibility to infection that may be related to uraemia-associated immunosuppression, similar to that observed in patients rendered immunodeficient following treatment with immunosuppressive agents. Moreover, chronic renal failure predisposes patients to opportunistic infections, mainly of fungal origin[9], and haemodialysis has been identified as a major risk factor for candidaemia[10,11]. Most of these opportunistic infections are cutaneous and affect the moist mucosal membranes, especially those of the oral cavity[12-14].

Candida species are commensal microbiota found in the oral cavities of 30–100% of humans[15-19]. C. albicans is widely recognised as the most pathogenic yeast species and is most commonly implicated in superficial and systemic infections[20-25]. Other Candida species, such as C. glabrata, C. parapsilosis, and C. tropicalis, are also associated with most forms of candidiasis[26-28]. However, the relative abundance of Candida species in the oral cavity is influenced by geographic location, health status and diagnosis, and previous exposure to antifungal drugs[10,29-31].

In contrast to bacteria[32], studies of yeast colonisation of the oral cavity of haemodialysis patients are rare. However, the previous studies all reported that C. albicans is more prevalent among the oral flora of haemodialysis patients than of healthy controls[2,33-35]. To address this knowledge gap, the objective of this study was to assess and compare the prevalence of yeast colonisation in the oral cavities of haemodialysis patients and healthy individuals. We report here the identities of the yeast species, their relative abundance, and their genetic profiles.

Results

Prevalence of yeast in oral swabs from the haemodialysis patient group

We recruited 126 haemodialysis patients at the Peking University Shougang Hospital in Beijing City, China, and obtained oral swabs from all patients within an 8-day period. Of the 126 patients examined, 39 (31.0%) were colonised by yeast and the majority of those (92.3%, 36/39) were colonised by a single species. The most prevalent species was C. albicans (64.1%, 25/39), which was present alone in 23 subjects and in combination with C. glabrata or C. inconspicua in 2 subjects. C. parapsilosis was identified in 17.9% (7/39) of carriers, C. glabrata in 10.3% (4/39), C. tropicalis in 5.1% (2/39), Clavispora lusitaniae in 5.1% (2/39), C. inconspicua in 2.6% (1/39), and Meyerozyma guilliermondii in 2.6% (1/39).

Prevalence of yeast in oral swab samples from the control group

The control group comprised 233 subjects attending dental clinics for the treatment of dental caries at Peking University Shougang Hospital. Oral swabs were obtained over a 10-month period. Fifty-five (23.6%) subjects were colonised by yeast species. Similar to the patient group, C. albicans was the most prevalent yeast species (89.1%, 49/55) and was present alone in 46 subjects or in combination with C. parapsilosis, C. tropicalis, or Clavispora lusitaniae in 3 subjects. C. parapsilosis was identified in 3.6% (2/55) of carriers, C. inconspicua in 3.6% (2/55), C. tropicalis in 1.8% (1/55), C. glabrata in 1.8% (1/55), Saccharomyces cerevisiae in 1.8% (1/55), and Yarrowia lipolytica in 1.8% (1/55).

Differences in yeast species between the haemodialysis patients and control subjects

There were no significant differences between the percentage of haemodialysis patients and control subjects who were yeast carriers (31.0% vs. 23.6%, respectively) or C. albicans carriers (19.8% vs. 21.0%, respectively). However, C. parapsilosis and C. glabrata were both significantly more prevalent in the haemodialysis group compared with the control group (C. parapsilosis, 5.6% vs. 0.9%, χ2 = 7.382, P = 0.007; and C. glabrata 3.2% vs. 0.4%, χ2 = 4.488, P = 0.034). As shown in Fig. 1, the relative abundance of C. albicans and C. parapsilosis was also significantly difference in yeast carriers in the haemodialysis group compared with the control group (C. albicans 64.1% vs. 89.1%, χ2 = 8.507, P = 0.004; and C. parapsilosis 17.9% vs. 3.6%, χ2 = 5.399, P = 0.020, respectively). Kendall’s bivariate correlation analysis found no significant differences in the composition of yeast between the two groups and gender, age, diagnosis (glomerulonephritis, hypertension, coronary heart disease, diabetes, renal anaemia, secondary hyperparathyroidism), or other aspects of health status.

Figure 1

Composition of yeast species in the oral cavities of haemodialysis patients and control subjects. C. albicans and C. parapsilosis were the two most common yeast species in both groups. Yeast carriers in the haemodialysis and control groups differed significantly in the percentage carrying C. albicans (64.1% vs. 89.1%, χ2 = 8.507, P = 0.004) and C. parapsilosis (17.9% vs. 3.6%, χ2 = 5.399, P = 0.020). Five subjects were colonised by C. albicans in combination with other species: C. glabrata or C. inconspicua by two subjects in the haemodialysis group, and C. parapsilosis, C. tropicalis, or Clavispora lusitaniae by three subjects in the control group.

Multilocus sequence typing (MLST) of C. albicans isolates

To perform MLST, C. albicans isolates from the patient and control groups were grown in culture dishes, and a single clone per dish was randomly chosen for MLST (total 25 and 49 clones from the haemodialysis and control groups, respectively). Two of the 74 samples (D1 and D132 from the control group) failed to yield PCR products from all seven loci; thus, MLST was performed on a total of 72 samples (25 from haemodialysis patients and 47 from controls). The analysis yielded 64 distinct sequence types (STs). Of these, 36 STs have not previously been identified (ST2837–ST2846 from the haemodialysis group; ST2611–ST2635 and ST2847 from the control group).

As shown in Supplementary Table S1 online, 57 of the 64 STs were identified from single isolates, and 7 were shared by multiple isolates (ST124 in D48a and N27a; ST299 in N12c and N23a; ST344 in N25b and N99a; ST768 in D16a and D30a; ST1608 in D93b and D114b); ST1865 in D23a, D133b, and N83b; and ST2454 in D43a and N54a). It seems unlikely that the strains sharing STs were derived from nosocomial infections for two reasons. First, most strains were isolated from the control group on different days, and the possibility that the subjects were in contact was small. Second, although all strains from the haemodialysis group were isolated on the same day, most of them had different STs, with the exception of ST299 (shared by N12c and N23a isolates) and ST344 (N25b and N99a). In addition, the patients who shared ST299 (N12 and N23) and ST344 (N25 and N99) were not in adjacent beds, making cross-infection unlikely. If the strains had been transferred by hospital staff, it would be expected that more patients would carry the same strains and that more strains would be shared by patients in adjacent beds than in remote beds.

To investigate the evolutionary relationships between the STs isolated in our study, we constructed an unweighted pair group method using average linkages (UPGMA) dendrogram of all C. albicans STs in the database (http://pubmlst.org/calbicans/). The dendrogram assigned the database STs to 19 clades plus singletons (Fig. 2 and Supplementary Fig. S1). Four of the STs identified here (ST2611, ST2634, ST2635, and ST2847) were singletons, and the other STs were distributed among 16 clades.

Figure 2

Radial distribution of C. albicans isolates from the haemodialysis and control groups and reference strains. Allelic concatenated nucleic acid sequences from 25 haemodialysis patient isolates, 47 control subject isolates, and 3256 reference strains retrieved from an MLST database were phylogenetically analysed by UPGMA. Clade numbers were assigned according to reference[41]. Three clades (10, 13, and 14) were not represented in isolates from either group. Open and closed circles represent control and haemodialysis isolates, respectively. Scale bar indicates p-distance.

As shown in Fig. 3, there were no Clade 10, 13, or 14 strains identified in the haemodialysis or control groups in this study. Five clades (2, 5, 7, 16, and 18) included strains from the control group but not the haemodialysis group, and conversely, Clades 9 and 15 included strains only from the haemodialysis group. Nine clades (1, 3, 4, 6, 8, 11, 12, 17, and 19) included strains from both groups.

Figure 3

Number of C. albicans isolates in each clade isolated from the haemodialysis patients and control subjects. Red and blue bars indicate haemodialysis and control groups, respectively. There were no significant differences in clade abundance between the two groups.

The most abundant C. albicans strains from the haemodialysis group were in Clade 4 (20.0%) and Clade 19 (16.0%) and the most abundant from the control group were in Clade 8 (17.0%) and Clade 4 (14.9%). There were no significant differences in the strain abundance in each clade between the two groups. Moreover, there were no significant associations between the diagnosis in the haemodialysis patient group and either the STs or clades, which is most likely due to the limited number of samples included in the analysis.

Discussion

This study evaluated the prevalence, diversity, and genetic profiles of C. albicans isolates recovered from the naturally colonised oral mucosa of 126 haemodialysis patients and 233 volunteers visiting dentist clinics. We found that the prevalence of yeast and C. albicans carriers was similar among the haemodialysis patients and control subjects (yeast 31.0% vs. 23.6% and C. albicans 19.8% vs. 21.0%, respectively). These results differ from those of previous reports. In a Brazilian study, Bastos et al.[2] reported that C. albicans was more common in the oral cavities of patients undergoing haemodialysis and peritoneal dialysis (72.7%) compared with a control group (26.3%). Similarly, a study in Iran by Ahmadieh et al.[33] found that Candida species were more common in haemodialysis patients (38.8%) than control subjects (18.0%). In a Turkish study, Gulcan et al.[35] reported oral yeast colonisation of 40% of haemodialysis patients and only 18% of healthy subjects. These differences may be related to various factors, including oral care, health habits, and other characteristics that differed in the populations studied. Watson and Kroone[36] reported that host factors are important in resisting oral colonisation by Candida, and they suggested that C. albicans-exposed subjects who remain non-carriers may be able to eliminate the yeast. In general, oral candidiasis is much more prevalent in immunocompromised individuals, such as haemodialysis patients, than in healthy subjects[9,11].

In our study, C. albicans was the most abundant yeast species in the oral cavities of both haemodialysis and control groups, followed by C. parapsilosis and C. glabrata. The distribution of oral yeast species identified here was similar to those in other reports[11]. Godoy et al.[3] reported a distribution of 63% C. albicans, 16% C. glabrata, and 1.2% C. parapsilosis among yeast in the oral cavities of patients with chronic renal failure undergoing haemodialysis in Brazil. De la Rosa-García1 et al.[9] reported that C. albicans, C. glabrata, and C. parapsilosis comprised 74.6%, 22.0%, and 3.4%, respectively, of oral Candida species isolated from haemodialysis and peritoneal dialysis patients in a Mexican study. The influence of geographic location and the specific patient cohort on the relative distribution of oral Candida species merits further research[9,10,29,31,33].

We characterised the genetic diversity and population structure of C. albicans isolated from the haemodialysis and control groups by MLST. To investigate the evolutionary relationships between the STs, we constructed a UPGMA-based dendrogram of all C. albicans in the MLST database. In our study, we detected no isolates in Clades 10, 13, or 14 in either the patient or control group. Similarly, these clades contain the fewest strains in the global C. albicans MLST database. No isolates in Clade 13 were found in studies from Chinese regions such as Beijing[37], Chengdu[38], Shanghai[39,40], Shenyang[41], and Taiwan[42-44]. Several earlier studies found strong evidence for a geographic influence in the low representation of some clades in certain regions of the world. It has been suggested that this may result from a selection process under the constraint of climate zones. A better explanation might be the presence of a specific or prevalent host factor that diminishes the abundance of certain strain types within a population[45].

It is generally thought that individuals are colonised by a single C. albicans strain or by several very similar strains[46]. Strains may persist over time and the same strain type can be present at multiple body sites in the same patient[44,46-54]. Therefore, we restricted the MLST analysis to only one isolate per individual. Although the average age of the haemodialysis and control groups in our study was different (59.76 vs. 42.79 years, respectively), the oral flora and genotype in adults should be stable. However, we cannot formally conclude that the age difference did not affect the distribution of strain genotypes in our patients and healthy subjects.

In our study, we identified more STs and clades in the C. albicans isolates from the control group than the haemodialysis group, and the clade distribution was different in the two groups. Clade 4 was the most populous clade in the haemodialysis group, the second most populous in the control group, and the second most populous in the global database[43]. Conversely, Clade 8 was the most populous clade in the control group, the third most populous in the global database, but did not rank in the three most abundant clades in the haemodialysis group.

Clade 19 was the second most populous clade in the haemodialysis group but was less abundant in the control group. In the global database, most Clade 19 isolates were from Asian subjects (China, South Korea, Iran, Kuwait). This clade was first described as clade New 1 by Wu[40] in Shanghai, China.

Clades 9 and 15 included strains from the haemodialysis group but not the control group. We speculate that immunocompromised patients may be more vulnerable than their healthy counterparts to colonisation by Clade 15 C. albicans strains, because Clade 15 was also reported to be more populous in autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy patients than in healthy subjects in an Irish study[51]. Although the sample number in our study was insufficient to demonstrate statistical significance, our finding implies that an individual’s health status affects the clade distribution of C. albicans strains isolated from the oral cavity.

The clade and ST distributions in the C. albicans MLST database show clear effects of geography and ethnicity, but the differences are gradually being reduced by globalization[55]. Several studies of geographically close populations indicate that C. albicans STs concentrate within certain clades that reflect not only the geographical location but also the host’s physical status. For example, C. albicans isolates obtained from blood cultures from healthy individuals in Scotland[56], the oral cavities of students from throughout the UK[57], and the oral cavities of chronic mucocutaneous candidiasis patients throughout the UK[54] were mainly grouped into Clades 1, 2, and 4 (not necessarily in that order of abundance). However, C. albicans isolates from intensive care unit patients in Leeds, England, were concentrated in Clades 2, 1, and 346. Studies performed in Ireland have confirmed that clade distributions differ among patients with different disorders. In the Irish study, the top three clades (in no specific order) were 2, 1, and 4 in healthy subjects, 1, 11, and 4 in periodontitis patients[15], 1, 3, and 8 in leukoplakia patients[20], and 1, 4, and 15 in autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy patients[51]. Our study is thus consistent with the reports from the UK and Ireland and collectively showed that (i) Clade 1 or 4 was the most populous clade in both the control and patient groups, (ii) the second and third most populous clades differed between the patients and healthy subjects, and (iii) the most scarce clades were more common in the patient group than in the control group. These results suggest that strains within a particular geographical locale are genetically more similar, on average, than strains from distant locales, and additionally that the genetic similarity is more strongly affected by geographical location than by health status or disease[58].

There were some limitations to this study. First, it was a single-centre study and the results may be less generalisable than those from multi-centre studies[42]. Second, not all isolates from this study were available for genotyping. Third, the relatively small numbers of patients and controls in this study provided insufficient statistical power to compare several parameters between the control and haemodialysis groups (e.g., C. albicans STs) or to evaluate the associations between molecular types and clinicopathological data (e.g., gender, age, diagnosis). Finally, although MLST is well known for its high discriminatory power and reproducibility, we did not use a second, complementary, method to MLST to verify identical STs shared by more than one isolate.

To our knowledge, this is the first MLST characterisation of C. albicans isolated from the oral cavities of patients on haemodialysis. Future studies implementing higher throughput genome-wide sequencing, together with more sophisticated models of the population dynamics of medically relevant yeast[54], will improve our understanding of the population dynamics of fungal infections in diverse epidemiological settings and will inform our approach to preventative and therapeutic treatments and strategies. It would also be interesting to investigate the degree to which C. albicans genotypes influences infection susceptibility in haemodialysis patients from different ethnic or geographical populations.

Methods

Study participants and isolates

Written informed consent was obtained from all study participants or from the parents of minors prior to obtaining samples. This study was approved by the Peking University Shougang Hospital Institutional Review Board (protocol number 2013–85). For the patient group, oral swab samples were collected from 126 haemodialysis patients at the Peking University Shougang Hospital in Beijing City, China. The medical history of each patient was recorded. The mean age was 59.76 years (median 60 years, range 28–82 years) and the gender distribution was 75 (59.5%) male and 51 (40.5%) female. The samples were collected between May 15, 2014 and May 23, 2014. For the control group, oral swab samples were collected from 233 volunteers attending dental clinics for the treatment of dental caries at the Peking University Shougang Hospital in Beijing City, China. A comprehensive dental and medical history was recorded for each patient. The mean age was 42.79 years (median 41 years, range 17–85 years) and the gender distribution was 104 (44.6%) male and 129 (55.4%) female. The samples were collected between May 18, 2013 and February 28, 2014.

Culture and identification of Candida species

Oral cavities were sampled with sterile cotton transport swabs[46,48,54,59]. Samples from each subject were plated on Sabouraud Dextrose Liquid Medium (Beijing Aoboxing Bio-Tech Co. Ltd., Beijing, China) and incubated at 37 °C for 24 h. Yeast colonies were then streaked onto CHROMagar medium (Beijing Aoboxing Bio-Tech Co. Ltd.) and incubated at 37 °C for 48 h[60]. After culturing for two days at 37 °C, we tentatively classified the yeast species by the colony colour as C. albicans (green), C. tropicalis (blue), C. krusei (pink), and C. glabrata (purple). However, since colour alone cannot accurately distinguish between some C. albicans and non-albicans species, we randomly picked one clone of each colour from the same dish for species identification by DNA analysis.

DNA preparation

The yeast isolates were subcultured on Sabouraud Dextrose Liquid Medium (Beijing Aoboxing Bio-Tech Co. Ltd.) and incubated at 37 °C for 24 h. An aliquot (3 ml) of the cell suspension was microcentrifuged at 12,000 rpm for 30 s, and genomic DNA was extracted using a Yeast Genomic DNA Extraction Miniprep system (ABIgen Corp., Beijing, China) in accordance with the manufacturer’s instructions. DNA samples were stored at −20 °C until analysis.

Amplification and sequencing of the internal transcribed spacer (ITS) regions

The fungus-specific universal primers ITS1 (5′-TCCGTAGGTGAACCTGCGG-3′) and ITS4 (5′-TCCTCCGCTTATTGATATGC-3′) were used to amplify the ITS1 and ITS2 regions[61-63]. PCR was performed using 2 × EasyTaq PCR SuperMix (Transgen Biotech Inc., Beijing, China) in accordance with the manufacturer’s instructions. The final PCR reaction volume was 50 μl and the conditions were: initial denaturation at 94 °C for 5 min; 30 cycles of denaturation (94 °C for 30 s), annealing (60 °C for 30 s), and extension (72 °C for 1 min); and a final extension step at 72 °C for 10 min. The DNA fragments were then sequenced (Tskingke Biological Technology Inc., Beijing, China). All amplicons were sequenced on both strands using ITS1 and ITS4 primers for the ITS1 and ITS2 regions. The ITS sequences of each type strain were submitted to GenBank to facilitate sequence comparison of strains belonging to these species.

Identification of yeast by ITS sequencing

A total of 191 strains were examined. The species were identified using the BLAST sequence analysis tool (http://www.ncbi.nlm.nih.gov/BLAST/). The ITS sequence was compared using nucleotide-nucleotide BLAST (blastn) with default settings, except that the sequences were not filtered for low complexity. Species identification was determined from the lowest expected value of the BLAST output. Occasionally, the BLAST search returned sequences from two different species with 100% identity. In these cases, the ITS1 and ITS2 lengths were taken into consideration, since they are important characteristics of fungal species[64]. The GenBank accession numbers of the ITS1 and ITS2 regions of type strains of 191 species sequenced in this study are given in Supplementary Table S1.

MLST and data analysis

C. albicans samples isolated from 25 haemodialysis patients and 49 control subjects (74 samples in total) were grown in dishes, and one clone from each dish was randomly chosen for MLST as described previously[65-67]. MLST was performed by amplifying seven C. albicans housekeeping genes (Ca AAT1a, Ca ACC1, Ca ADP1, Ca MPIb, Ca SYA1, Ca VPS13, and Ca ZWF1b) using the following specific primers: AAT1a Fwd 5′-ACTCAAGCTAGATTTTTGGC-3′ and Rev 5′-CAGCAACATGATTAGCCC-3′; ACC1 Fwd 5′-GCAAGAGAAATTTTAATTCAATG-3′ and Rev 5′-TTCATCAACATCATCCAAGTG-3′; ADP1 Fwd 5′-GAGCCAAGTATGAATGATTTG-3′ and Rev 5′-TTGATCAACAAACCCGATAAT-3′; MPIb Fwd 5′-ACCAGAAATGGCCATTGC-3′ and Rev 5′-GCAGCCATGCATTCAATTAT-3′; SYA1 Fwd 5′-AGAAGAATTGTTGCTGTTACTG-3′ and Rev 5′-GTTACCTTTACCACCAGCTTT-3′; VPS13 Fwd 5′-TCGTTGAGAGATATTCGACTT-3′ and Rev 5′-ACGGATGGATCTCCAGTCC-3′; and ZWF1b Fwd 5′-GTTTCATTTGATCCTGAAGC-3′ and Rev 5′-GCCATTGATAAGTACCTGGAT-3′.

PCR was performed using 2 × EasyTaq PCR SuperMix (Transgen Biotech Inc.) in accordance with the manufacturer’s instructions. The final PCR reaction volume was 50 μl and the conditions were: initial denaturation at 94 °C for 5 min; 30 cycles of denaturation (94 °C for 30 s), annealing (60 °C for 30 s), and extension (72 °C for 1 min); and a final extension step at 72 °C for 10 min. The DNA fragments were sequenced (Tskingke Biological Technology Inc.) using the same primers as for PCR, and all seven loci were sequenced in both directions. Samples D1 and D132 from the control group failed to yield PCR products for all seven loci; thus, complete MLST was achieved on a total of 72 samples (25 haemodialysis patients and 47 controls).

For each gene, distinct alleles were identified and numbered using the nonredundant database program at the MLST website (http://pubmlst.org/calbicans/). The alleles at each of the seven loci constituted a strain’s allelic profile (i.e., the ST), and each distinct allelic profile was considered a unique ST or genotype. A dendrogram based on the pairwise differences in the allelic profiles of the seven genes was constructed by UPGMA analysis using MLSTest software (http://www.ipe.unsa.edu.ar/software), which compares genotypic profiles of global isolates[68-70].

Statistical analysis

Differences were compared using Pearson’s chi-squared test and associations were evaluated by Kendall’s bivariate correlation analysis. SPSS version 19 software (IBM Corp., Armonk, NY, USA) was used for all analyses. The results were considered statistically significant at the P < 0.05 level.

Table S1

Figur S1