The Scientific World Journal

Volume 2014 (2014), Article ID 182596, 6 pages

http://dx.doi.org/10.1155/2014/182596

Research Article

An Analysis of the Malassezia Species Distribution in the Skin of Patients with Pityriasis Versicolor in Chengdu, China

Zhen Xie,1,2 Yuping Ran,¹ Hao Zhang,¹ Min Zhang,³ Huiying Wan,¹ and Conghui Li¹

¹Department of Dermatology, West China Hospital, Sichuan University, Chengdu 610041, China

²Department of Dermatology, Sichuan Academy of Medical Science & Sichuan Provincial People’s Hospital, Chengdu 610072, China

³Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510000, China

Received 19 May 2014; Revised 15 July 2014; Accepted 18 July 2014; Published 10 August 2014

Academic Editor: Jean-Philippe Bouchara

Copyright © 2014 Zhen Xie et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Pityriasis versicolor (PV) is a common clinical problem associated with Malassezia species (Malassezia spp.). Controversies remain regarding the specific species involved in the development of PV. This study analyzed the difference in Malassezia spp. distribution in lesional and nonlesional skin in Chinese PV patients. A paired design was applied. Lesional and nonlesional scales from 24 cases were collected; real-time fluorescence quantitative PCR was used to detect 10 different Malassezia spp. In lesional skin, the highest detection rates were for M. globosa (95.8%), M. restricta (91.7%), and M. sympodialis (50.0%). In nonlesional skin, the highest detection rates were for M. globosa (87.5%), M. restricta (79.2%), and M. dermatis (33.3%). A significant difference in the detection rate was only found for M. sympodialis (50.8% versus 20.8%, . Compared with nonlesional skin, the amount of M. globosa, M. restricta, and M. sympodialis in lesional skin was significantly higher ,  , and times higher, resp.). The results of this study do not indicate that M. globosa and M. restricta are directly correlated with PV development; however, M. sympodialis is more likely related to PV development in Chinese individuals.

1. Introduction

The lipid-dependent yeast Malassezia species (Malassezia sp.) is widely found on the skin surface of humans and other animals [1, 2]. This fungus can cause pityriasis versicolor, Malassezia folliculitis, and seborrheic dermatitis. Additionally, its infection can worsen the condition of immunocompromised infants and young children [3–6].

It was recognized in 1846 that the pathogen of pityriasis versicolor (PV) was a fungus [7], but it was first named as the genus Malassezia by Baillon until 1889. By 2011, 14 different Malassezia spp. had been differentiated by morphology, biochemistry, rDNA sequencing, restriction fragment length polymorphism (RFLP), and other methods. These species include M. furfur, M. sympodialis, M. obtusa, M. globosa, M. restricta, M. slooffiae, M. pachydermatis, M. dermatis [8], M. japonica [9], M. yamatoensis [10], M. nana [11], M. caprae, M. equina [12], and M. cuniculi [13]. There have been reports of M. pachydermatis in humans [4, 14], whereas M. nana, M. caprae, M. equina, and M. cuniculi are pro-animal species that have never been detected in humans. The other species exist in human skin with varying distributions across species depending on the location and the local microenvironmental variation.

To date, controversies remain over the specific species involved in the development of PV, and the results from different countries are not consistent. In general, it is believed that M. globosa is the main species correlating with PV development, and this idea is mainly based on the analyses of the predominant species of lesional skin in the Japanese population [15, 16]. In other districts and regions, such as Greece and Spain, similar reports have also been found [17, 18]. In some studies that analyzed species differences between lesional and nonlesional skin, the detection rate of M. globosa in lesional skin was higher compared with nonlesional skin [17, 19]. However, there was also Malassezia spp. distribution in nonlesional skin of healthy individuals and PV patients, with extremely high detection rates in some studies; for example, the detection rate of Malassezia in healthy Japanese individuals was as high as 86.7% [20]. Moreover, Miranda et al. showed that M. furfur was the predominant species in the lesional skin of PV patients in Brazil [21], whereas Gupta et al. showed in a Canadian population and Ramadán et al. showed in Argentineans that M. sympodialis was more common in PV patients [22, 23]. In Gupta’s study, the detection rate of M. globosa in lesional skin was only 6.3% [22]. The differences in these studies might be related to the regional differences of Malassezia distribution [24–26]. Although PV is common in China [27], there have not been reports on Malassezia spp. distribution in the Chinese PV population to date.

Based on these findings, we conducted the current study to analyze the constituents of Malassezia spp. in lesional skin and nonlesional skin in Chinese PV patients using real-time fluorescence quantitative polymerase chain reaction (RT-PCR). The results of this study may shed light on the pathogenesis of PV.

2. Materials and Methods

2.1. Study Subjects

Twenty-four patients with PV from an outpatient clinic consecutively entered this study from April 2010 to July 2010. PV was diagnosed by its clinical appearance and the staining of scales with 20% KOH and Parker blue ink in microscopic examination. The inclusion and exclusion criteria included the following: (1) typical clinical manifestations: pigmentation or hypopigmentation spots on the body trunk or the forearm; (2) lesional scales that showed thick and short hyphae and round or oval spores under the microscope with methylene blue staining; (3) no antifungal agents administered orally or externally within one month before the visit; (4) no Malassezia-related diseases, such as Malassezia folliculitis, atopic dermatitis, or seborrheic dermatitis. The clinical diagnoses of the patients were made by the same dermatologist.

All enrolled patients signed an informed consent form. All procedures were in accordance with the Declaration of Helsinki and were approved by the Ethics Committee of the Sichuan Academy of Medical Science & the Sichuan Provincial People’s Hospital, China.

2.2. Scale Sample Collection and Genome DNA Extraction

For each patient, 1 lesional scale sample and 1 nonlesional scale sample were collected. The samples were collected using a previously published method [28]. Malassezia samples were collected by applying Tegaderm transparent dressings ( cm; 3 M Health Care, Neuss, Germany) on the target skin of patients with PV. The collected transparent dressings were placed in a 1% Triton X-100 solution, and the suspensions were transferred into sterile Eppendorf tubes. The supernatants were removed by centrifugation at 4,000 ×g. The sample collection was conducted by the same dermatologist, and the lesional scale samples were obtained from thoracic lesions to reduce the impact of the location on the distributions of the species. Malassezia spp. are lipid-dependent yeasts that mainly colonize skin that easily develops seborrhea, such as the chest, back, and face. We collected samples of thoracic lesions and of distant nonlesional skin from the same PV patient and performed comparisons to reduce the influence of the skin microenvironment of different individuals on Malassezia colonization. Because Malassezia hyphae are found on skin near PV skin lesions [19], skin distant from the lesions was selected as the area of nonlesional skin sampling in this study. In these areas, hyphae were not detected. A total of 10 Malassezia reference strains that are maintained in our laboratory were utilized as positive controls [28]. Sampling and DNA extraction followed methods previously described in the literature [28] and the OMEGA D3370-01 kit instructions.

2.3. Verification of DNA Extraction through PCR with Universal Fungal Primers

The primers were universal fungal primers: ITS1 (5′-TCCGTAGGTGAACCTGCG-3′) and ITS4 (5′-TCCTCCGCTTATTGATATGC-3′). The constituents of the reaction system and the total volumes are summarized in Table 1. PCR, electrophoresis, and other laboratory tests were all performed using a blind method.

Table 1: Universal fungal primer PCR reaction system.

Components
Sample amount

PCR reaction mixture
12.5 L (including 2.5 U Pfu Taq enzyme, 500 M dNTP, 20 mM Tris-Cl (pH 8.3), 100 mM KCl, and 3 mM MgCl₂)

ITS1a
1 L

ITS4b
1 L

Template DNA
2 L

Double distilled water
8.5 L

Internal transcribed spacer 1; binternal transcribed spacer 4.

The reaction conditions consisted of predenaturation for 5 min at 94°C, 35 cycles of 94°C for 45 s, 58°C for 45 s, and 72°C for 45 s, and a final step at 72°C for 7 min. The PCR products were processed by 1.5% agarose electrophoresis for 35 min, and the results were observed under UV light and photographed. A negative control was tested during each amplification. The amplified products were considered valid only when there was no DNA band generated after the amplification of the negative control.

2.4. Extracted DNA Concentration as Determined by Spectrophotometry

Extracted DNA concentrations from the lesional and nonlesional skin were determined by spectrophotometry to determine whether there were different concentrations in the lesion and nonlesion groups and to ensure that the initial concentrations of the templates for real-time fluorescence quantitative PCR were the same. If the initial concentrations of the two groups were not the same, corrections were made by dilution. The TE solution that contained dissolved DNA was set as the blank control. One microliter of sample was drawn by a micropipette and dropped onto the test platform, and the absorbance and concentration of the sample were determined (μg/μL).

2.5. RT-PCR

The design of the primers and the probes was based predominately on the ITS sequences of 10 Malassezia species released by GenBank. Primer 5.0 software was used to design the Malassezia-specific primers, the species-specific primers, and their corresponding TaqMan fluorescent probes to amplify the Malassezia species and the 10 different Malassezia target DNAs. The specific sequences are shown in Table 2. The 48 DNA samples underwent fluorescence quantitative PCR and reacted with the Malassezia genus-specific primer/probe and the 10 sets of Malassezia primers/probes. The qualitative results (positive bands) and quantitative results (Ct values) were recorded.

Table 2: Primers and probes used in RT-PCR.

Species
Sense primer (5′ → 3′)
Antisense primer (5′ → 3′)
TaqMan probe

Malassezia
GTAGACTCCATCTAAAGCTAAAT
CTTTTAACTCTCTTTCCAAAGT
CCCTCACGGTACTTGTTCGCT

M. furfur
GTGAATTGCAGAATTCCGTGAAT
GAGCCTGTTTCTTGCGAAACA
CTTTGAACGCACCTTGCGCTC

M. globosa
GTGAATTGCAGAATTCCGTGAAT
GAGCTTTTTCTAGAGAAGAAAAG
CTTTGAACGCACCTTGCGCTC

M. obtusa
GTGAATTGCAGAATTCCGTGAAT
GCGAGCCTGTTTAGCAAGAAA
CTTTGAACGCACCTTGCGCTC

M. pachydermatis
GTGAATTGCAGAATTCCGTGAAT
GAGCCTGTAGTTTCCCACAG
CTTTGAACGCACCTTGCGCTC

M. restricta
GTGAATTGCAGAATTCCGTGAAT
GCGAGCCTGTGCTAGGTA
CTTTGAACGCACCTTGCGCTC

M. slooffiae
GTGAATTGCAGAATTCCGTGAAT
CTTTTCGAGCGAGCCTACCAA
CTTTGAACGCACCTTGCGCTC

M. sympodialis
GTGAATTGCAGAATTCCGTGAAT
TACAATCCCCAGGCAGCAA
CTTTGAACGCACCTTGCGCTC

M. yamatoensis
GTGAATTGCAGAATTCCGTGAAT
GCCAGCCTCGCAAGGCAT
CTTTGAACGCACCTTGCGCTC

M. japonica
GTGAATTGCAGAATTCCGTGAAT
TGTACGAGACACTGGCAGGCA
CTTTGAACGCACCTTGCGCTC

M. dermatis
GTGAATTGCAGAATTCCGTGAAT
GTTTCCCAGGCAGCGGCA
CTTTGAACGCACCTTGCGCTC

The reaction was carried out in a 0.2 mL EP tube in 30 μL of reaction volume. The components are summarized in Table 3. The PCR conditions consisted of a predenaturation step at 94°C for 2 min, 45 cycles of 94°C for 20 s, 50°C for 20 s, and 60°C for 30 s, and a final extension step at 72°C for 7 min.

Table 3: Reaction system for real-time fluorescence quantitative PCR.

Components
Sample amount

10 × buffer (without Mg²⁺)
3 L

MgCl₂ (25 mM)
3 L

dNTP (25 mM)
0.36 L

Sense prime (10 M)
1 L

Antisense primer (10 M)
1 L

TaqMan probe (10 M)
0.6 L

Taq enzyme (5 U/L)
0.3 L

Double distilled water
18.74 L

Template DNA
2 L

The amplification cycle number when the fluorescence intensity reached a certain threshold (Ct value) in each sample tube was determined according to the kinetic curve. Water was used as the template and the negative control during each amplification. The amplified products were considered valid only when there was no DNA band generated after the amplification of the negative control.

2.6. Specific Verification Using Malassezia Genus-Specific Primers and Species-Specific Primers

Malassezia reference strains were used as the positive controls, and fluorescence quantitative PCR products were collected. The products were sent to Shanghai Biological Engineering Co., Ltd., with their corresponding primers to be sequenced for verification. The results were compared with the sequences from GenBank (http://blast.st-va.ncbi.nlm.nih.gov/Blast.cgi), and the specificity of the primers was determined based on this comparison.

2.7. Statistical Analysis

SPSS13.0 (Chicago, IL, USA) was utilized in the statistical analyses. Data with normal distributions are presented as the (mean ± standard deviation), and the enumeration data are expressed as percentages. A   test was used in the comparison of species detection rates of lesional skin and nonlesional skin, and a -test was used in the quantitative comparison of species in lesional skin and nonlesional skin; a two-tailed value < 0.05 was regarded as a statistically significant difference.

3. Results

3.1. ITS Amplification Results

The ITS1/ITS4 amplification of the lesional and nonlesional skin scale DNA samples from patients 1–24 is shown in Figure 1. All 48 samples from 24 patients in this study demonstrated positive bands at 600–800 bp after ITS1/ITS4 universal fungal primer amplification.

Figure 1: Electropherogram of the lesional and nonlesional skin DNA samples from patients 1–8 after ITS1/ITS4 amplification. The lanes of the lesional scales are coded as the patient number + L (lesion), and the lanes of the nonlesional skin samples are coded as the patient number + N (normal). M signifies the marker, and NC signifies the negative control. Positive bands appeared at the 600–800 bp position in each sample lane. No band appeared in the NC.

3.2. Malassezia Species Distribution

3.2.1. Malassezia Species in Lesional and Nonlesional Skin

First, we determined whether more Malassezia spp. were detected in lesions than in nonlesional skin. The detection rates of Malassezia spp. in lesional and nonlesional skin from the same sampling area are shown in Table 4; the detection rates were similar ( versus , ), indicating that the number of Malassezia species detected did not correlate with the development of PV.

Table 4: Detection rates of multiple Malassezia spp. in the same sampling area (%).

2 Malassezia spp. detected
3 Malassezia spp. detected
4 Malassezia spp. detected

Nonlesional skin
8.3
41.7
50.0

Lesional skin
16.7
50.0
33.3

The detection rate of each Malassezia species is shown in Figure 2. Ten Malassezia species were detected in the lesional skin, and 9 Malassezia species were detected in the nonlesional skin of the 24 patients with PV. M. globosa possessed the highest detection rates in both the lesional and nonlesional skin, which were 95.8% and 87.5%, respectively. Qualitatively, M. globosa had the highest detection rate, followed by M. restricta, with rates of 91.7% and 79.17%, respectively. In the lesional skin, 10 species of Malassezia were detected, while M. pachydermatis was not detected in the nonlesional skin. In the lesional skin, the first three species of the highest detection rates were M. globosa (95.8%), M. restricta (91.7%), and M. sympodialis (50.0%), respectively. In the nonlesional skin, the first three species of the highest detection rates were M. globosa (87.5%), M. restricta (79.2%), and M. dermatis (33.3%), respectively. Among the 9 species detected in both the lesional and the nonlesional skin, a significant difference in the detection rate was only found in M. sympodialis (50.8% versus 20.8%, ) (Figure 2). The compositions of the mixed Malassezia spp. detected in the same area were mainly M. globosa with M. restricta and M. globosa with M. sympodialis. Compared with nonlesional skin, the rates of simultaneously detecting M. globosa with M. restricta (91.7% versus 66.7%, ) and M. globosa with M. sympodialis (4.2% versus 50%, ) were higher in lesional skin, whereas there was no difference in the rates of simultaneously detecting M. globosa with the other 6 species in lesional versus nonlesional skin.

Figure 2: Malassezia species detection rates in the lesional and nonlesional skin of the 24 patients. *, nonlesional skin versus lesional skin.

3.2.2. Quantitative Analysis of Malassezia Species in Lesional and Nonlesional Skin

Lesional and nonlesional skin scale samples from the 24 patients with PV were amplified by fluorescence quantitative PCR using Malassezia genus-specific primers and 10 species-specific primers. The quantity of M. globosa, M. restricta, and M. sympodialis in the lesions was significantly higher compared with nonlesional skin (Figure 3); there was no significant difference in the quantity of the other Malassezia spp. between the groups.

Figure 3: The relative quantity of each Malassezia species in the lesions compared with the nonlesional skin of the 24 patients. The -axis displays the increased prevalence of the species in the lesions compared with the nonlesional skin. *, nonlesional skin versus lesional skin.

4. Discussion

PV is a relatively common clinical condition, which is associated with the Malassezia spp. However, the specific species of the fungus involved in the pathogenesis of PV remains controversial. M. globosa and M. restricta are the predominant Malassezia spp. in PV patients; however, the Malassezia spp. distribution in the Chinese population remains unclear. In this study, we analyzed the distribution of the Malassezia spp. in both lesional and nonlesional regions of the Chinese PV patients.

Malassezia sp. is a global resident flora on the skin surfaces of humans and animals, which can cause PV, Malassezia folliculitis, and seborrheic dermatitis, and its complicated infection can worsen the condition of immunocompromised infants and young children [4–6]. Previously, a culture method was primarily adopted to investigate the distribution of Malassezia spp.; unfortunately, this method is easily affected by the variation of microbial growth rates and culture media. In recent years, transparent dressings have been used to make scales stick to them, and DNA extraction from the scales for real-time fluorescence quantitative PCR has become a common technique to investigate Malassezia rapidly and efficiently [28, 29]. Using these methods, 14 Malassezia spp. have been identified to date, with 9 species predominately existing on human skin. Among the other 5 species that exist on animal skins, M. pachydermatis is predominately found in animals but can be transmitted to humans by contact with pets. Although the Malassezia spp. have different sensitivities to antifungal agents [30, 31], it is impossible to select highly sensitive medications to treat PV because of the incomplete understanding of the pathogenic species. The recurrence of PV remains a problem in clinical practice [24]; therefore, the identification of pathogenic species is helpful for selecting sensitive drugs in the clinic.

This is the first study to analyze the Malassezia spp. constituents in Chengdu PV patients. In this study, we used culture-independent real-time fluorescence quantitative PCR to successfully isolate the 10 Malassezia spp. that exist in humans. Our results showed that, among the 10 detected species, M. sympodialis, with the third highest detection rate, was the only species that had a significantly higher detection rate and a larger quantity in the lesions compared with nonlesional skin. This is consistent with the findings by Crespo Erchiga et al. in Canada regarding PV patients [17]. M. globosa and M. restricta are the two species with the highest detection rates [17, 32, 33], although there was no difference in their detection rates in lesions versus nonlesional skin (Figure 2): the quantity of these species was higher in lesions than in nonlesional skin (Figure 3). Multiple Malassezia spp. were detected in the same sampling area (Table 4), but due to lack of previously published results on the number of detected Malassezia spp. we cannot determine whether this is a characteristic distribution of Malassezia spp. in Chinese PV patients; this finding may relate to the use of highly sensitive PCR in this study. Therefore, it is possible that multiple coexistent Malassezia spp. synergize to induce PV. We analyzed the differences in the coexistence of two species in lesions versus nonlesional skin and determined that the coexistence of M. globosa with M. restricta and of M. globosa with M. sympodialis was more common in lesions than in nonlesional skin, which supported the above hypothesis.

There are some limitations to this study. We did not include healthy people as blank controls for the consideration of the possible influence of individual idiosyncrasy on the results obtained in this study. The subjects in this study only represent the population in certain Chinese cities; because regional factors may influence the distribution of Malassezia spp. [24–26], our conclusions cannot be extrapolated to other regions. The relatively small sample size is another limitation of this study; because there are numerous combinations of more than two coexisting species, the number of samples in each combination is insufficient for further statistical analysis. Therefore, a larger sample size is necessary for future studies. However, as shown in Figure 2, the detection rate of other species was low, with the exception of M. globosa, M. restricta, and M. sympodialis. Therefore, we presume that the less common Malassezia spp. are not significant for the development of PV.

In summary, our findings suggest that M. sympodialis might be involved in the development of PV in China, and its mechanism of action deserves further study. Furthermore, mixed infections, such as M. globosa and M. restricta or M. sympodialis, might be involved in the pathogenesis of PV.

Conflict of Interests

The authors have no conflict of interests to declare.

Acknowledgments

This work is supported by Specialized Research Fund for the Doctoral Program of Higher Education (20050610058) and partly by Project 30570095 of National Natural Science Foundation of China.

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