Accurate identification Candida is important for successful therapy and epidemiology study. The aim of research is to study API 20C yeast identification system identification rate by using molecular identification as gold standard and tested the antifungal susceptibility of Candida from patients with vulvovaginal candidiasis (VVC).
Methods
In total, 3574 yeast isolates were obtained from patients with VVC. API 20C yeast identification, molecular identification and in vitro antifungal susceptibility were performed.
Results
C. albicans was the predominant Candida species [2748 isolates, 76.9%] in VVC. The isolates from vaginal samples represented 22 species based on molecular identification. The API 20C system identifies only 11 of the species encountered during the study period. Based on the API 20C system, 3273 (91.58%) isolates were correctly identified to the species level. The correct identification rate of the API 20C system for rare yeast was 15.29% (26/170 isolates). Antifungal susceptibility was tested in a total of 1844 isolates of Candida from patients with VVC. C. albicans was susceptible to most of the tested antifungals. The MICs of azoles for C. glabrata were higher than those for C. albicans. The MICs of echinocandins for C. parapsilosis were higher than those for C. albicans.
Conclusions
The API 20C yeast identification system can be used to reliably identify the most common Candida species while molecular methods are necessary for the identification of closely related, emerging, and rare yeast species. The results from this study suggest that much of the previous studies on the epidemiology of VVC should be re-thought. C. albicans was susceptible to most of the tested antifungals.
Hinweise
Yu Shi and Yuxia Zhu contributed equally to this work.
The original version of this article was revised: errors in Table 3 were corrected.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CLSI
Clinical & Laboratory Standards Institute
GM
Geometric mean
MIC
Minimal inhibitory concentration
PCR
Polymerase chain reaction
VVC
Vulvovaginal candidiasis
RVVC
Recurrent VVC
SPSS
Statistical product and service solutions
Background
An estimated 75% of women will have at least one episode of vulvovaginal candidiasis (VVC) and 40–45% will have two or more episodes [1]. The estimated probability of recurrent VVC (RVVC),which was defined as four or more episodes of symptomatic VVC within 1 year, after VVC will be 14–28% [2]. C. albicans, which is responsible for 85–95% of Candida vaginal infections, is the major aetiological agent involved in cases of VVC, followed by C. glabrata and C. parapsilosis [3‐6]. Accurate identification at the species level is paramount for successful therapy and appropriate patient care. However, commonly used identification method, the API yeast identification system, has shown a rather inconsistent ability to identify clinical isolates with an overall identification rate ranging from 80 to 96% [7]. In addition, with the discovery of new, closely related Candida species and novel species, the correct identification of the isolates has become more difficult by using the common methods [8]. PCR and sequencing of relevant genes provide a rapid and accurate Candida speciation, genotyping of individual species, and finally, antifungal drug sensitivity [9]. Treatment options for refractory symptoms caused by antifungal resistant Candida are extremely limited. New therapeutic study, options and strategies are urgently needed to meet the challenge of drug resistance [10‐15]. RVVC affects about 138 million women annually, with a global annual prevalence of 3871 per 100,000 women; 372 million women are affected by RVVC over their lifetime [11]. We reported the distribution of yeast isolates based on molecular identification from patients with VVC in southern China from 2003 to 2018 and compare the identification rate of molecular methods with API 20 C system. We also tested the common used and several potential clinical using antifungals.
Methods
Patients and case definition
A prospective study of 3574 consecutive patients with VVC and RVVC was conducted at the Department of Gynecology, Peking University Shenzhen Hospital from April 2003 to September 2018. The research protocol was approved by the ethics committee of the hospital, and all subjects gave their informed consent to participate. The cases of VVC in pregnancy and VVC caused by multiple Candida species were excluded. A case of VVC was defined as a patient with vulvar itching, vaginal discharge and a positive Candida culture. Confirmation was obtained by demonstration of blastoconidia and pseudohyphae on 10% potassium hydroxide preparation. Among the 3574 patients, 588 isolates (16.5%) which first found from per patient with RVVC were selected. The mean ages of patients with RVVC and VVC were 31.01 [SD 6.04] and 29.67 [SD 6.64] years, respectively (P < 0.05).
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Vaginal samples and API 20C identification
A sample from the lateral vaginal wall was obtained with a sterile cotton-tipped swab. The swab was placed in a tube filled with saline prior to direct microscopic examination on a wet slide, to which a drop of 10% potassium hydroxide had been added. Culture was performed on samples obtained from all cases that had positive on 10% potassium hydroxide preparation. All specimens were plated on a Sabouraud agar plate for 24–48 h at 37 °C. Isolates were identified using a standard system, API 20C [Biomerieux, France], and stored in medium containing 2% glucose, 2% peptone and 20% glycerol at − 70 °C.
Molecular identification
Isolates were removed from the − 70 °C freezer and revived on a Sabouraud agar plate for 24–48 h at 37 °C. One single yeast colony from the isolates was suspended in a microcentrifuge tube containing 50 μL of lysis buffer for direct polymerase chain reaction (PCR) to identify fungus (Takara Biotechnology Co., Ltd., Dalian, China). The composition of the PCR mixture, and the PCR conditions were in accordance with the methods previously described [16‐19]. At first, we use PCR primers of C. albicans complexes, C. glabrata complexes, and C. parapsilosis complexes to identify the three complexes, respectively. All other yeasts were identified by using PCR and sequencing. The primers used in this study are shown in Table 1.
Table 1
The primers used in this study
Candida species
Primer name
Forward(5′-3′)
Reverse(5′-3′)
Amplified fragment size (bp)
References
C. albicans complexes
HWP1
GCTACCACTTCAGAATCATCATC
GCACCTTCAGTCGTAGAGACG
C. albicans:839 and 941
C. africana:700
C. dubliniensis:569
Shan,2014
C. glabrata complexes
GLA
NIV
BRA
CGGTTGGTGGGTGTTCTGC
AGGGAGGAGTTTGTATCTTTCAAC
GGGACGGTAAGTCTCCCG
ACCAGAGGGCGCAATGTG
C. glabrata:397
C. bracarensis: 223
C. nivariensis:293
Li,2014
C. parapsilosis complexes
mCPF
mCOF
mCMF
TTTGCTTTGGTAGGCCTTCTA
TAAGTCAACTGATTAACTAAT
AACTGCAATCCTTTTCTTTCTA
AATATCTGCAATTCATATTACT
C. parapsilosis:171
C. orthopsilosis:109
C. metapsilosis:217
Asadzadeh,2015
Rare yeast
NL1,NL4
GCATATCAATAAGCGGAGGAAAAG-3’
GGTCCGTGTTTCAAGACGG
500–600
Leaw,2006
1Shan Y, Fan S, Liu X, et al. Prevalence of Candida albicans-closely related yeasts, Candida africana and Candida dubliniensis, in vulvovaginal candidiasis. Med Mycol, 2014, 52 (6): 636–40.
2Li J, Shan Y, Fan S, et al. Prevalence of Candida nivariensis and Candida bracarensis in vulvovaginal Candidiasis. Mycopathologia, 2014, 178 (3, 4): 279–83.
3Asadzadeh M, Ahmad S, Hagen F, et al. Simple, Low-Cost Detection of Candida parapsilosis complex isolates and molecular fingerprinting of Candida orthopsilosis strains in Kuwait by ITS region sequencing and amplified fragment length polymorphism analysis. PLoS One, 2015, 10 (11): e0142880.
4Leaw SN, Chang HC, Sun HF, et al. Identification of medically important yeast species by sequence analysis of the internal transcribed spacer regions. J Clin Microb, 2006, 44 (3): 693–9.
Antifungal susceptibility testing
The in vitro susceptibility tests by using the CLSI reference broth microdilution method were performed for all species isolates number less than 100 strains. C. albicans and C. glabrata were randomly selected for the test. Those include 1272 C. albicans strains (including 998 isolates from VVC and 274 from RVVC) and 267 C. glabrata strains(including 197 isolates from VVC and 70 from RVVC). The MIC of Candida for all agents was read following 24–48 h incubation. The antifungals used were amphotericin B (Sigma, USA), Anidulafungin(Selleckchem, USA), Butoconazole(Sigma, USA), Caspofungin(Sigma, USA), Clotrimazole(Sigma, USA), Fluconazole(Sigma, USA), Flucytosine(Sigma, USA), Itraconazole(Sigma, USA), Micafungin(Selleckchem),Miconazole(Sigma, USA), Nystatin (Amresco, USA), Terbinafine(Santa Cruz, USA),Terconazole(Sigma),and Voriconazole(Fluka, USA). Quality control was performed as recommended in CLSI documents M27-A3 and M60 by using ATCC 90028 which is a reference strain of C. albicans and all results of the control were within established ranges [20, 21].
Statistical analysis
All values given in tables and text are expressed as the means unless otherwise indicated. Each variable was tested for differences between groups by Student’s t test or chi-square analysis where appropriate. Statistical significance was set at P < 0.05. Statistical analysis of the data was performed using SPSS 10.0 software (SPSS Inc.; Chicago, Illinois, United States).
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Results
Strain distribution and yeast identification
The 3574 isolates from the vaginal samples represented 22 species based on molecular identification. C. albicans were the predominant Candida species (2748 isolates, 76.9%) in VVC, followed by C. glabrata (519 isolates, 14.5%), C. parapsilosis (76 isolates, 2.1%), and C. tropicalis (61 isolates, 1.7%). Fig. 1 shows the distribution of the yeast species from all VVC based on molecular identification. Fig. 2 shows the distribution of the yeast species from all VVC by years.
Fig. 1
The distribution of the yeast from VVC
Fig. 2
The distribution of the yeast from VVC by years
×
×
The API 20C system identified only 11 of the species encountered during the study period (Table 2). Among the isolates analysed by the API 20C system, 3273 (91.58%) isolates were correctly identified to the species level. The correct identification rates of C. albicans, C. glabrata, C. parapsilosis, and C. tropicalis were 98.51% (2707/2748 isolates), 84.59% (439/519 isolates), 80.26% (61/76 isolates), and 65.57% (40/61 isolates), respectively. The correct identification rate of the API 20C system for rare yeasts, including C. krusei, Saccharomyces cerevisiae, Candida africana, C. dubliniensis, C. orthopsilosis, C. metapsilosis, C. lusitaniae, C. fabianii, Trichosporon asahii, Rhodotorula, Kodamaea ohmeri,C. nivariensis, C. bracarensis, C. guilliermondii, Torulaspora pretoriensis, Kazachstania bovina, Kluyveromyces marianus, and Issatchenkia terricola, was 15.29% (26/170 isolates) (Table 2).
Table 2
Identification of 3574 isolates of yeast from vulvovaginal candidasis based on molecular methods and API 20C
Candida identified by molecular methods (abbreviation)
Candida identified by API 20C (isolates)
Correct identification/total,%
CA
(2866)
CG(489)
CP
(85)
CT
(57)
CK
(27)
SC
(24)
C. famata
(13)
CL
(4)
RH
(4)
C. inconspicua (3)
C. humicola (2)
C. albicans (CA)
2707
24
0
7
4
1
1
0
3
0
1
2707/2748,98.51
C. africana
48
1
0
0
0
0
0
0
0
0
0
0/49,0
C. dubliniensis
1
0
0
0
0
0
0
0
0
0
0
0/1,0
C. glabrata (CG)
52
439
7
7
2
7
4
0
1
0
0
439/519,84.59
C. nivariensis
0
7
0
0
1
0
1
0
0
0
0
0/9,0
C. bracarensis
0
2
0
0
0
0
0
0
0
0
0
0/2,0
C. parapsilosis (CP)
7
4
61
2
0
0
1
1
0
0
0
61/76,80.26
C. orthopsilosis
1
1
4
0
0
0
0
0
0
0
0
0/6,0
C. metapsilosis
3
5
8
1
0
0
1
1
0
0
1
0/20,0
C. tropicalis (CT)
10
2
2
40
0
4
3
0
0
0
0
40/61,65.57
C. krusei (CK)
28
2
1
0
18
1
0
1
0
3
0
18/54,33.33
Saccharomyces cerevisiae (SC)
2
1
1
0
1
7
0
0
0
0
0
7/12,58.33
C. lusitaniae (CL)
0
0
0
0
0
0
0
1
0
0
0
1/1,100
C. fabianii
1
0
1
0
0
1
0
0
0
0
0
0/3,0
Trichosporon asahii ()
0
0
0
0
0
0
1
0
0
0
0
0/1,0
Rhodotorula (RH)
3
0
0
0
0
0
0
0
0
0
0
0/3,0
C. guilliermondii
0
0
0
0
0
1
1
0
0
0
0
0/2,0
Kodamaea ohmeri
1
0
0
0
0
1
0
0
0
0
0
0/2,0
Issatchenkia terricola
0
1
0
0
1
0
0
0
0
0
0
0/2,0
Torulaspora pretoriensis
0
0
0
0
0
1
0
0
0
0
0
0/1,0
Kazachstania bovina
1
0
0
0
0
0
0
0
0
0
0
0/1,0
Kluyveromyces marianus
1
0
0
0
0
0
0
0
0
0
0
0/1,0
Total
2866
489
85
57
27
24
13
4
4
3
2
3273/3574,91.58
Antifungal susceptibility
Antifungal susceptibility was tested in a total of 1844 isolates of Candida from patients with VVC. C. albicans was susceptible to most of the tested antifungals including azole, polyenes and echinocandins. The MICs of azoles for C. glabrata were higher than those for C. albicans. The MICs of echinocandins for C. parapsilosis were higher than those for C. albicans. Some drug-resistant isolates mainly to azoles were found. C.albicans showed 7.7, 10.2 and 6.2% resistance to the fluconazole (MIC ≥8 μg/mL), itraconazole (MIC ≥1 μg/mL) and voriconazole (MIC ≥1 μg/mL), respectively. On the other hand, C.glabrate showed 3.4 and 29.1% resistance to the fluconazole (MIC ≥64 μg/mL) and itraconazole (MIC ≥1 μg/mL). In addition, a small number of C. parapsilosis were resistant to echinococcins. The resistance rates of C. parapsilosis to Anifungin (MIC ≥8 μg/mL), carpofungin (MIC ≥8 μg/mL) and micafungin (MIC ≥8 μg/mL) were 5.2, 5.2 and 1.3%, respectively. The MIC GM value of C. albicans for itraconazole, terconazole, and terbinafine in RVVC is higher than those in VVC. The MIC GM value of C. glabrata for miconazole, amphotericin B, nystatin, caspofungin, and terbinafine in RVVC is higher than those in VVC (Tables 3 and 4).
Table 3
In vitro antifungal susceptibility of 1844 clinical isolates of Candida species as determined by the CLSI method
In vitro antifungal susceptibility of 1539 clinical C. albicans and C. glabrata isolates from VVC and RVVC as determined by the CLSI method
AmB
FLU
NYS
TEB
AFG
CFG
MFG
BUC
CLO
FLC
ITC
MIC
TEC
VRC
C. albicans
VVC
Range
0.15–32
0.030–128
0.03–32
0.03–256
0.008–0.5
0.008–0.5
0.008–0.5
0.015–32
0.015–32
0.06–128
0.015–32
0.015–32
0.015–32
0.015–8
GM
0.21
0.65
1.55
39.23
0.02
0.1
0.03
0.11
0.05
0.74
0.09
0.27
0.12
0.06
MIC90
0.5
4
8
256
0.03
0.25
0.25
1
0.25
4
1
4
2
0.5
RVVC
Range
0.015–32
0.06–128
0.03–32
0.25–256
0.008–0.25
0.008–0.5
0.008–0.5
0.015–8
0.015–16
0.06–64
0.015–32
0.015–32
0.015–32
0.015–8
GM
0.25
0.94
1.82
74.50
0.01
0.1
0.03
0.13
0.05
1.03
0.10
0.46
0.33
0.09
MIC90
0.6
4
8
256
0.015
0.25
0.06
1
0.5
4
0.5
8
8
0.5
P
0.813
0.435
0.770
0
0.242
0.7
0.566
0.736
0.341
0.14
0.041
0.053
0
0.34
C. glabrata
VVC
Range
0.03–2
0.06–16
0.03–32
0.25–256
0.015–0.5
0.008–0.5
0.008–0.5
0.015–16
0.015–16
0.125–128
0.015–32
0.015–16
0.015–32
0.015–32
GM
0.33
0.18
3.88
40.63
0.03
0.06
0.05
0.24
0.23
1.68
0.42
0.25
0.15
0.09
MIC90
1
1
8
256
0.06
0.25
0.25
1
1
8
4
2
1
0.25
RVVC
Range
0.03–2
0.06–2
0.03–16
0.25–256
0.008–0.06
0.008–0.5
0.008–0.5
0.015–8
0.03–4
0.125–128
0.03–32
0.03–32
0.015–32
0.015–32
GM
0.20
0.17
2.31
8.86
0.02
0.06
0.04
0.16
0.134
1.03
0.29
0.27
0.17
0.11
MIC90
0.5
1
8
256
0.03
0.25
0.25
1
1
16
2
4
2
0.5
P
0.017
0.366
0.035
0.015
0.058
0.68
0.78
0.87
0.25
0.1
1
0.043
0.683
0.293
Note: GM geometry mean, BUC butoconazole, CLO Clotrimazole, FLC Fluconazole, ITC Itraconazole, VRC Voriconazole, MIC Miconazole, TEC Terconazole, AmB Amphotericin B, FLU Flucytosine, NYS Nystatin, TEB Terbinafine, AFG Anidulafungin, CFG Caspofungin, MFG Micafungin. The MIC GM value of C. albicans for Itraconazole, Terconazole, and Terbinafine in RVVC is higher than those in VVC. The MIC GM value of C. glabrata for Miconazole, Amphotericin B, Nystatin, Caspofungin, and Terbinafine in RVVC is higher than those in VVC
Discussion
Strain identification and distribution
Borman reported 1781 yeast isolates submitted to the United Kingdom Mycology Reference Laboratory and found that 100 isolates (9.7%) were incorrectly identified, with error rates ranging from 5.2 to 18.2% [22]. The conventional methods such as the API ID 32 C system could not identify the rare or new recovered Candida [23]. The identification ratios (IR) at the species level of yeast were 0.89 for the API ID 32C system, 0.89 for the AuxaColor system, and 0.93 for the Vitek 2 system. Subanalysis of data showed that the Vitek 2 system was more accurate (IR: 0.94) than the API ID32C system (IR: 0.84) and the AuxaColor system (IR: 0.76) [7]. Gündeş reported the performance of API 20C Aux was with 87% (101 of 116 isolates) [24]. Two hundred and fifty-one isolates (83.7%) were correctly identified, 49 (16.2%) isolates were misidentified, and there was no species without identification using API 20C AUX. The majority of misidentified yeast isolates were among rare species (n = 45), and the majority (4/5) of Pichia kudriavzevii strains were misidentified [25]. The closely related Candida complex was identified from vaginal samples by using molecular methods [8, 16‐19, 26]. Based on conventional and molecular methods, C. albicans, C. glabrata, C. parapsilosis, and C. tropicalis are the four most common Candida species from VVC. Most of previous studies were non-molecular identification or small samples based molecular identification [3‐6, 27, 28]. In the current study, by using molecular identification, we found that C. albicans was still the most common Candida species in VVC, followed by C. glabrata, C. parapsilosis and C. tropicalis. The yeast species from VVC was stable in the past 16 years.
The API 20C system has a lower correct identification rate for non-albicans (33.33–84.59%) than that for C. albicans (98.51%). The system also could not identify new closely related Candida species and novel species. Compared with conventional methods by which 5–10 Candida species were identified, molecular methods identified more than 20 Candida species from vaginal samples, suggesting the necessity of molecular identification in research [3‐5, 22].
Antifungal susceptibility
Most non-albicans Candida species have a higher azole MICs, and the VVC they cause are often difficult to treat [28‐35]. Fluconazole-resistant C. albicans have been found in VVC [34, 35].
The antifungal prescription affects the relative distribution and susceptibility of Candida [36, 37].
An increasing number of isolates with elevated MICs were observed following fluconazole introduction rather than prior to that [37]. In our current study, C. albicans was susceptible to most of the tested antifungals. The MICs of azoles for C. glabrata were higher than those for C. albicans and the MICs of echinocandins for C. parapsilosis were higher than those for C. albicans, which were similar to a previous study [32]. The MICs of nystatin for C. albicans and C. glabrata were higher than that from the findings of other reports and those of our previous study on the use of different antifungal susceptibility tests [3, 38]. In current study, terbinafine was the less active drug against most of the tested isolates, which was similar to a previous study and may not be used for treating VVC [24, 39]. CD101, a new echinocandin antifungal agent, has been studied specifically as a possible treatment for VVC in rat and human [12‐15]. The current study has shown that echinocandins including anidulafungin, caspofungin and micafungin have a low MIC for C. glabrata, which may provide an opportunity for treating azole-resistant VVC.
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Conclusions
It was concluted that API 20C yeast identification system can be used to reliably identify the most common Candida species. Molecular methods are necessary for the identification of closely related, emerging, and rare yeast species, which are quite important in research. C. albicans was the predominant Candida species isolated from this sample of patients with VVC. The results from this study suggest that much of the previous studies of epidemiology for VVC should be re-thought. Resistance of vaginal C. albicans isolates to antifungal agents was infrequent.
Acknowledgements
Not Applicable.
Ethics approval and consent to participate
The verbal informed consents were obtained from all individual participants included in the study. The study and the informed consents procedure were approved by Peking University Shenzhen Hospital Medical Ethics Committee (20140406).
Consent for publication
Not applicable.
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Competing interests
The authors declare that they have no competing interests.
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