Abstract
Microbiota is considered an organ that affects the health of the human body and includes many microorganisms such as bacteria, yeast, mold, viruses, protozoa, and archaea. Microorganism such as Candida sp., a part of the microbiota, is known to cause diseases in the case of opportunistic pathogens under various conditions. Yeast loads and species in the oral mycobiota of young individuals aged 18-25 were determined in our study. Two methods, centrifugation and dilution, were used to determine the oral yeast load. Samples were taken from 31 individuals for the centrifugation method, including 29 for the dilution method and five of these individuals. The samples were inoculated on Sabouraud 2% Dextrose Agar (SDA) and SDA containing chloramphenicol (SCAF). As a result, in young individuals aged 18-25, the oral yeast load was 0.01±0.01 and 1.87±0.01 log CFU in SCAF, and it was 0.01±0.01 and >3.00±0.01 log CFU in SDA. A total of 400 isolates were taken from the counting plates, and 140 were determined to be yeast by gram staining. Germ tube test of the isolates determined to be yeasts determined that 108 were probably Candida albicans or Candida dubliniensis. 140 isolates were also identified by MALDI-TOF MS. Isolates were identified as C. albicans (38.58%), C. albicans or C. africana (3.57%), C. dubliniensis (32.86%), C. parapsilosis (20%), C. inconspicua (2.14%), Pichia manshurica (2.14%), and Wickerhamomyces subpelliculosus (0.71%). It has been determined that young individuals between the ages of 18-25 carry Candida species in their oral mycobiota.
Keywords:
oral mycobiota; oral yeast load; Candida spp; MALDI-TOF MS
HIGHLIGHTS
• Individuals between aged18-25 carry Candida in their mouths without symptoms.
• Specific or antibiotic media should be used to determine the oral yeast load.
• MALDI-TOF MS is a fast, inexpensive, and effective method for yeast identification.
INTRODUCTION
Like all other complex multicellular eukaryotes, the human body has many microorganisms inside or on its surface. Bacterial components make up 99% of the total microbial load. They are therefore referred to as the core microbiome, while the remaining less abundant and more diverse microbiota forms a “rare biosphere”. Fungal microbiota (mycobiome) constitutes an essential part of the “rare biosphere”. Although the percentage of mycobiome is low, its impact on human health and disease is far-reaching. For example, over 600 of the 5.1 million fungal species that make up the rare biosphere are estimated to cause human diseases ranging from mild superficial disorders to severe diseases to life-threatening systemic infections [11 Bandara HMHN, Panduwawala CP, Samaranayake LP. Biodiversity of The Human Oral Mycobiome in Health and Disease. Oral Dis. 2019 Mar;25(2):363371.].
There are many microorganisms in the oral cavity, and this microbial community is influenced by different oral structures and tissues, diet, dental hygiene, xenobiotic, and host genetics. Some microorganisms isolated from the oral cavity play a role in forming oral diseases such as dental caries, periodontitis, and tonsillitis. In short, the main components necessary for the balance between health and disease depend on the microorganisms in the oral cavity and their interrelationships. In addition, examining oral microbiology, the gateway to the gastrointestinal tract and respiratory system, is very important and will help us understand the microbial communities in health and disease [22 Garg N, Luzzatto-Knaan T, Melnik AV, Caraballo-Rodríguez AM, Floros DJ, Petras D, Gregor R, Dorrestein PC, Phelan. Natural Products as Mediators of Disease. Nat Prod Rep. 2017;34(2):194-219.
3 Monteiro-da-Silva F, Araujo R, Sampio-Maia B. Interindividual variability and intraindividual stability of oral fungal microbiota over time. Med Mycol. 2014 July;52(5):498-505.-44 Wade WG. Characterisation of the Human Oral Microbiome. J Oral Biosci. 2013 Aug;55(3):143-8.].
Many individuals carry Candida species asymptomatically in their mouths, and the prevalence of Candida species increases with age. However, Candida species can cause various acute and chronic infections. Clinical manifestations of oral candidal infection range from acute pseudomembranous plaques characterized by inflamed and red-white areas on the mucosa to erosive erythroplakia and leukoplakia lesions of chronic atrophic candidal mucositis. Burning and stinging sensations, the classic symptoms of candidal infection, are due to damage to the mucosal surface. Microbial production of carcinogenic acetaldehyde has been associated with oral cancer. The oral cavity can also act as a source of deep or systemic candidiasis in severely immunocompromised patients, such as AIDS, or immunocompromised patients, such as neutropenic patients [44 Wade WG. Characterisation of the Human Oral Microbiome. J Oral Biosci. 2013 Aug;55(3):143-8.
5 Kraneveld EA, Buijs MJ, Bonder MJ, Visser M, Keijser BJ, Crielaard W, Zaura E. The Relation Between Oral Candida Load and Bacterial Microbiome Profiles in Dutch Older Adults. PloS one. 2012 Aug;7(8):e42770.-66 Rautemaa R, Ramage G. Oral candidosis - Clinical Challenges of A Biofilm Disease. Crit Rev Microbiol. 2011 July;37(4):328-36.].
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been used since the late 1990s to identify microorganisms. This method produces unique spectral fingerprints for each microorganism and strain typing, and microorganisms are identified. This identification technique has revolutionized the routine identification of microorganisms in clinical microbiology laboratories by offering an easy, fast, accurate, cost-effective, and highly efficient system. It supports potential applications not only for clinical laboratories but also in many fields, including medical diagnostics, biological defence, environmental monitoring and food quality control. Therefore, it is suitable for high-throughput and rapid microbial identification at low costs and is an alternative to traditional phenotypic characteristics and gene sequence identification techniques [77 Croxatto A, Prod'hom G, Greub G. Applications of MALDI-TOF mass spectrometry in clinical diagnostic microbiology. FEMS Microbiol. Rev. 2012 Mar;36(2):380-407.].
As a result, the microbiota is a very important part of the human body and is considered an organ. The oral microbiota, which contains many microorganisms such as bacteria, yeast, mold, protozoa and archaea, is an important part of the human microbiota. While bacterial microbiota is generally determined in microbiota studies, there are fewer studies on fungal microbiota. Therefore, this study aims to determine the cultured yeast load in the oral mycobiomes of individuals aged 18-25 and to identify the isolated yeast strains with traditional methods and MALDI-TOF MS.
MATERIAL AND METHODS
Research Population and Sample
The research method is a cross-sectional and descriptive study. The research universe consists of 4th-grade students of Çanakkale Onsekiz Mart University, Faculty of Health Sciences, Department of Nursing and Midwifery in the 2018-2019 academic year.
We obtained permission for our study from the school administration and ethics committee approval from Çanakkale Onsekiz Mart University Clinical Research Ethics Committee (No:18920478-050.01.04-E180031135). Before starting the data collection process, researchers informed the participants about the purpose and scope of the research, and we obtained their verbal and written consent that they agreed to participate in the study. The research was carried out by the principles of the Declaration of Helsinki.
Sampling Method
The sampling procedure was chosen to take into account the previous studies. Sampling was done between 11:00 and 14:00. Students were told not to eat or brush their teeth in the last hour before sampling. For the dilution method, samples were taken from 29 participants at 12:00 on 30.04.2019. For the centrifuge method, samples were taken from 31 participants (5 from the dilution method group) at 12:00 on 08.05.2019. In the sampling, the mouthwash method was applied for 1 minute using 10 mL of sterile PBS [88 Ghannoum MA, Jurevic RJ, Mukherjee PK, Cui F, Sikaroodi M, Naqvi A, Gillevet PM. Characterization of the oral fungal microbiome (mycobiome) in healthy individuals. PLoS Pathog. 2010 Jan;6(1):e100713.
9 Martins CADP, Koga-Ito CY, Jorge AOC. Presence of Staphylococcus spp. and Candida spp. in the human oral cavity. Braz. J. Microbiol. 2002 Sept;33(3):236-40.-1010 Samaranayake LP, MacFarlane TW, Williamson MI. Comparison of Sabouraud dextrose and Pagano-Levin agar media for detection and isolation of yeasts from oral samples. J Clin Microbiol. 1987 Jan;25(1):162-4.]. Samples were transported to the laboratory in the cold chain immediately after collection and stored at +4ºC until analysis. Analysis was done within 6 hours. While taking the samples, a questionnaire of 20 questions was applied to the participants simultaneously.
Microbiological analyses
First, the yeast loads of the samples were determined by two different methods. In the dilution method, serial dilutions of the samples up to 10-4 were prepared and inoculated on Sabouraud Dextrose Agar medium containing chloramphenicol (SCAF) according to the spread plate method (100 µL). For each sample, two petri dishes were inoculated from each dilution, and 8 SCAF media were used [99 Martins CADP, Koga-Ito CY, Jorge AOC. Presence of Staphylococcus spp. and Candida spp. in the human oral cavity. Braz. J. Microbiol. 2002 Sept;33(3):236-40.,1111 Urzúa B, Hermosilla G, Gamonal Aravena JA, Morales Bozo I, Canals Lambarri M, Barahona S, et al. Yeast diversity in the oral microbiota of subjects with periodontitis: Candida albicans and Candida dubliniensis colonize the periodontal pockets. Med Mycol. 2008 Dec;46(8):783-93.,1212 Gomes C, Fidel S, Fidel R, de Moura Sarquis MI. Isolation and taxonomy of filamentous fungi in endodontic infections. J Endod. 2010 Apr;36(4):626-9.]. In the centrifuge method, the samples were first centrifuged at 4000 rpm for 20 minutes. After centrifugation, the supernatant was discarded 8. 400 µL of sterile pH:7 PBS was added to the pellet and vortexed for 15 seconds. Then, it was inoculated into Sabouraud Dextrose Agar (SDA) and SCAF medium using the spread plate method (100 µL). A total of 4 media were inoculated for each sample, including 2 SDAs and 2 SCAFs [99 Martins CADP, Koga-Ito CY, Jorge AOC. Presence of Staphylococcus spp. and Candida spp. in the human oral cavity. Braz. J. Microbiol. 2002 Sept;33(3):236-40.,1111 Urzúa B, Hermosilla G, Gamonal Aravena JA, Morales Bozo I, Canals Lambarri M, Barahona S, et al. Yeast diversity in the oral microbiota of subjects with periodontitis: Candida albicans and Candida dubliniensis colonize the periodontal pockets. Med Mycol. 2008 Dec;46(8):783-93.]. The petri plates were incubated at 37°C for 48 hours in both methods. After incubation, firstly, counting was made, and then isolates were taken from counting petri plates. Each sample count plate was pooled together and evaluated visually for isolation. In the visual evaluation, isolates were taken by considering colony structure criteria such as colony colour, colony margin structure, and colony height. The isolated isolates were first purified by inoculation into petri plates containing SDA. Stock from single-drop colonies was transferred to tubes containing Sabouraud Dextrose Broth (SDB). Whether the isolates were yeast or not was determined by slide-lamella preparation.
Identification of Yeast Isolates
A germ tube test (GTT) was performed to identify C. albicans or C. dubliniensis species from the isolates. For GTT, 10 µL of pure culture from SDB growing fresh culture was added to 0.5 ml of human serum. Then, after incubation at 37°C for 2 hours, germ tube formation was determined by lam-lamella preparation [1313 Doğan Ö, Gülmez D, Akdağlı SA. [A Rapid Identification Test in Fungemia Cases: Evaluation of Direct Germ Tube Test from Positive Blood Culture Bottle]. ANKEM Derg. 2016;30(3):102-8.].
MALDI-TOF MS analysis was performed as described in Taban and Numanoğlu Çevik (2021) [1414 Taban BM, Numanoglu Cevik Y. The efficiency of MALDI-TOF MS method in detecting Staphylococcus aureus isolated from raw milk and artisanal dairy foods. CyTA-J Food. 2021 Sept;19(1):739-50.]. Bruker Microflex (Bruker, Biotyper; Bruker Daltonics, Bremen, Germany) Flex Control 3.0 software was used for yeast identification.
Statistical Analysis
All data were evaluated using SPSS 23 program with 95% confidence interval.
RESULTS
Two different methods were used in this study. Samples were taken from 29 people in the dilution method and from 31 people in the dilution method. The five participants also participated in each sampling method. For this reason, the study was carried out with 55 people.
In the dilution method used to determine the oral yeast load of the participants, samples were taken from 29 people. It was determined that there were four colonies in one person and one colony in two participants, and only three participants had yeast load in the SCAF medium. Yeast load was determined in 12 participants in SCAF medium, out of 31 participants by centrifugation method. While yeast load could not be determined by the dilution method of 5 participants participating in two samplings, yeast load was determined in two of them by centrifugation method.
It was determined that the yeast load in the SCAF medium ranged from 0.00±0.01 (1 CFU) to 1.87±0.01 (74 CFU) log CFU. However, it was determined that the total load of bacteria and yeast in the SDA medium from the same samples varied between 1.79±0.0 and >3.00 log CFU (Table 1).
It could not be evaluated statistically because of the dilution method's results (1 CFU = 0.00 ± 0.01 log CFU and no yeast growth = 0.00 ± 0.01 log CFU) obtained. For this reason, yeast loads and questionnaire results of 31 participants who participated in the centrifuge method were evaluated statistically. Demographic characteristics and oral hygiene information of 31 participants are given in Table 2. It was determined that there was no statistically significant difference between yeast loads and the demographic and oral hygiene of the participants (P=0.05).
Four hundred isolates were taken from counting petri dishes. The isolates were first evaluated with slide-lamella preparation, which is one of the traditional methods, and it was determined that 140 of them were yeast. Bacterial isolates were eliminated, and work with yeast isolates was continued. Possible C. albicans or C. dubliniensis species were determined by performing GTT on yeast isolates. The isolates were finally identified using the MALDI-TOF MS method. Identification of the isolates according to the traditional and MALDI-TOF MS method is given in Table 3.
With GTT, 108 isolates were probable C. albicans or C. dubliniensis. With MALDI-TOF MS, 38.57% (n= 54) of C. albicans, 3.57% (n=5) of C. albicans or C. africana, 32.86% (n=46) of C. dubliniensis, 20% (n=28) of C. parapsilosis, 2.14% (n=3) of C. inconspicua, 2.14% (n=3) of Pichia manshurica, and 0.72% (n=1) of Wickerhamomyces subpelliculosus has been defined. A difference was found between naming 12 isolates using the traditional method and naming them with MALDI-TOF MS. As a result of MALDI-TOF MS, out of 108 isolates thought to be C. albicans or C. dubliniensis by the traditional method; five were named as C. parapsilosis and two as C. inconspicua. In addition, because of MALDI-TOF MS, it was found that 2 of 32 isolates with negative GTT were C. dubliniensis, and 3 of them were C. albicans. There was a discrepancy between the GTT and MALDI-TOF MS results in identifying 12 out of 140 isolates.
The yeast load study conducted with 31 participants determined that 41.93% (13) of the participants were yeast carriers. The classification of the yeasts detected in the participants according to the species is given in Table 4. It was determined that C. albicans species alone was found in three participants (1, 49, 53), C. dubliniensis species alone in two participants (36, 51) and C. parapsilosis species in two participants (32, 46). While only one participant (7) was a carrier of both C. albicans and C. dubliniensis, another participant (52) was found to be a carrier of both C. dubliniensis and C. parapsilosis. It was determined that C. parapsilosis, C. inconspicua and P. manshurica in one participant (42), C. albicans, C. dubliniensis, C. inconspicua, and C. parapsilosis in one participant (44). In one participant (47), it was determined that the five Candida species identified coexisted. It was determined that the C. inconspicua species isolated from three individuals (9.48%) carried it together with C. parapsilosis in one of the carriers, and it was carried together with both C. albicans and C. dubliniensis in the others.
DISCUSSION
Colonies with different colony morphology from counting plates were visually evaluated, and isolates were taken. It was determined that the isolates from the SCAF medium were yeast, while the majority of isolates from the SDA medium were bacteria. As a result, although the SDA medium seemed to determine the microbial load better, mostly bacteria grew in this medium. Therefore, if yeast load is to be determined in the oral yeast load study, it is recommended to use a medium including antibiotics. Samaranayake, MacFarlane and Williamson (1987) collected mouthwash samples from 150 individuals and inoculated them on Pagano-Levin agar and SDA medium. As a result, they reported that Pagano-Levin agar medium was slightly superior to the SDA medium in obtaining yeasts [1010 Samaranayake LP, MacFarlane TW, Williamson MI. Comparison of Sabouraud dextrose and Pagano-Levin agar media for detection and isolation of yeasts from oral samples. J Clin Microbiol. 1987 Jan;25(1):162-4.]. This study shows that a more specific medium should be used for oral yeast load or isolation, as in our study.
Kleinegger and coauthors (1996) determined that Candida carriage was 40% in individuals aged 15-18 years and 53% in individuals aged 30-45 years living in the state of Iowa. Researchers have reported that Candida carriage increases with age [1515 Kleinegger CL, Lockhart SR, Vargas K, Soll DR. Frequency, intensity, species, and strains of oral Candida vary as a function of host age. J Clin Microbiol. 1996 Sept;34(9):2246-54.]. Martins and coauthors (2002) collected samples from 68 healthy participants between the ages of 25 and 55 from São José dos Campos/UNESP dental clinics. They reported that they isolated Candida species from 42 individuals (61.76%). They reported that the most frequently isolated species were C. albicans, followed by C. tropicalis (20.42%), C. glabrata (6.12%) and C. kefyr (2.04%) [99 Martins CADP, Koga-Ito CY, Jorge AOC. Presence of Staphylococcus spp. and Candida spp. in the human oral cavity. Braz. J. Microbiol. 2002 Sept;33(3):236-40.]. Since the yeast load of young healthy individuals was determined in our study, the carrier rate with Candida species was determined as 35.48%.
Liguori and coauthors (2007) analyzed a total of 78 oral rinse solutions between 2004 and 2005. They determined that yeast was phenotypically present in 63 samples, and there was no yeast in 15 samples. The most frequently isolated species were C. albicans (48 strains, 76.2%), followed by C. glabrata (6 strains, 9.5%), C. tropicalis (5 strains, 7.9%), C. krusei (2 strains, 3.2%), C. parapsilosis (1 strain, 1.6%), and C. famata (1 strain, 1.6%) [1616 Liguori G, Lucariello A, Colella G, De Luca A, Marinelli P. Rapid identification of Candida species in oral rinse solutions by PCR. J Clin Pathol. 2007;60:1035-9.]. In our study, C. albicans, one of the two most frequently isolated species, was identified in 6 individuals and C. parapsilosis was isolated in 3 individuals, and other Candida species could not be obtained.
Ghannoum and coauthors (2010) identified fungi in the oral cavity in 20 healthy adults (aged 21-60) individuals by mouthwash with PBS using ITS primers. They determined 74 culturable and 11 non-culturable fungi species from the samples. They stated that the most frequently isolated genus was Candida (75%), followed by Cladosporium (65%), Aureobasidium (50%), Saccharomycetales (50%), Aspergillus (35%), Fusarium (30%) and Cryptococcus (20%) [88 Ghannoum MA, Jurevic RJ, Mukherjee PK, Cui F, Sikaroodi M, Naqvi A, Gillevet PM. Characterization of the oral fungal microbiome (mycobiome) in healthy individuals. PLoS Pathog. 2010 Jan;6(1):e100713.]. In our study, only yeasts were evaluated, and it was determined that 136 of the 140 yeast isolates that could only be cultured were Candida.
Monteiro-da-Silva and coauthors (2014) investigated the fungal load in the oral microbiota with 40 healthy students at the Faculty of Dentistry of the Portuguese University in their study. Sampling methods are largely similar to the method in our study, and researchers used the Sabouraud Glucose Agar medium. They incubated half of the inoculated petri dishes at 25°C and the other half at 37°C for 7 days. They used the API system (API/ID32C) (BioM'erieux. Marcy L'Etoile. France) to identify yeasts [33 Monteiro-da-Silva F, Araujo R, Sampio-Maia B. Interindividual variability and intraindividual stability of oral fungal microbiota over time. Med Mycol. 2014 July;52(5):498-505.]. Like this study, they also determined that 20% of their participants had oral fungal load between 1.70-2.60 log CFU/mL. Researchers reported that they detected fungi better in incubation at 25°C compared to 37°C. They determined that 100% of the samples grew mold and 92.5% yeast when incubated at 25°C, while 42.5% grew mould and 45% yeast in the petri dishes incubated at 37°C. Researchers reported that they isolated Candida from 67.5% of the samples, and the species they isolated were C. albicans, C. parapsilosis, and C. tropicalis. They determined that variables such as oral hygiene or dental caries did not affect the prevalence of Candida in the oral cavity (p<0.05), but variables such as age, gender and use of alcohol did affect the prevalence (p<0.05) [33 Monteiro-da-Silva F, Araujo R, Sampio-Maia B. Interindividual variability and intraindividual stability of oral fungal microbiota over time. Med Mycol. 2014 July;52(5):498-505.]. In this study, petri dishes were incubated at 37°C in accordance with the premise of this study. Two Candida species frequently isolated in the study were also frequently isolated in this study. However, no statistically significant difference was found in our study regarding yeast load, demographic characteristics of the participants and oral hygiene.
When the study is evaluated with the literature in general, there are differences between the results due to factors such as age group, demographic characteristics, oral health and hygiene of individuals, sampling methods and counting method differences.
Quiles-Melero and coauthors (2012) evaluated the MALDI-TOF MS system for rapid identification of C. metapsilosis, C. orthopsilosis, and C. parapsilosis. They identified 103 isolates (reference strain and clinical isolate) according to MALDI-TOF MS and ITS1 gene regions. As a result, they reported that the agreement between the two methods was 100% and could be useful in quickly and reliably distinguishing the species within the C. parapsilosis group [1717 Quiles-Melero I, Garcia-Rodriguez J, Gómez-López A, Mingorance J. Evaluation of matrix-assisted laser desorption/ionisation time-of-flight (MALDI-TOF) mass spectrometry for identification of Candida parapsilosis, C. orthopsilosis and C. metapsilosis. Eur J Clin Microbiol Infect Dis. 2012 Jan;31(1):67-71.]. Sendid and coauthors (2013) [1818 Sendid B, Ducoroy P, François N, Lucchi G, Spinali S, Vagner O, et al. Evaluation of MALDI-TOF mass spectrometry for the identification of medically-important yeasts in the clinical laboratories of Dijon and Lille hospitals. Med Mycol. 2013 Jan; 51(1):25-32.] compared MALDI-TOF MS and conventional methods to identify yeast isolated from clinical specimens. They identified a total of 1207 yeast isolates. They defined it with the ITS gene region as a reference method. As a result, 91.5% (1105) isolates were compatible in identification with the traditional method and MALDI-TOF MS, while 6.1% (74) reported that the isolate was misidentified. The correct identification of 73 of these 74 isolates by MALDI-TOF MS was confirmed by molecular identification. They declared that the compatibility between the two techniques had an accuracy of 98-100% in identifying clinically important species, including closely related species such as C. parapsilosis-C. metapsilosis-C. orthopsilosis. Researchers found that only 2.3% of the isolates of Geotrichum species or C. magnoliae, C. lambica, and C. famata, could be identified by MALDI-TOF MS and Trichosporon spp. reported that species could not be identified by MALDI-TOF MS. They reported that the MALDI-TOF MS method is reliable, fast and cost-effective in the identification of yeasts and can be an alternative to traditional identification methods [1818 Sendid B, Ducoroy P, François N, Lucchi G, Spinali S, Vagner O, et al. Evaluation of MALDI-TOF mass spectrometry for the identification of medically-important yeasts in the clinical laboratories of Dijon and Lille hospitals. Med Mycol. 2013 Jan; 51(1):25-32.]. Jamal and coauthors (2014) [1919 Jamal WY, Ahmad S, Khan ZU, Rotimi VO. Comparative evaluation of two matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) systems for the identification of clinically significant yeasts. Int. J. Infect. Dis. 2014 Sept;26:167-70.] compared the performance of MALDI-TOF MS and the VITEK 2 system in identifying clinical yeast isolates. They analyzed 188 clinical yeast isolates with Bruker Biotyper and VITEK MS. They reported that the correct identification percentages of VITEK 2, VITEK MS and Bruker Biotyper MS systems were 94.1% (177/188), 93.0% (175/188) and 92.6% (174/188), respectively. While three isolates were not identified by VITEK MS, nine C. orthhopsilosis isolates were misidentified as C. parapsilosis, which was due to the absence of this species in the database. They noted that eleven isolates were not identified or misidentified by Bruker Biotyper, and although 14 were more accurately described, they scored below <1.7 and the results were unreliable [1919 Jamal WY, Ahmad S, Khan ZU, Rotimi VO. Comparative evaluation of two matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) systems for the identification of clinically significant yeasts. Int. J. Infect. Dis. 2014 Sept;26:167-70.]. Taj-Aldeen and coauthors (2014) [2020 Taj-Aldeen SJ, Kolecka A, Boesten R, Alolaqi A, Almaslamani M, Chandra P, et al. Epidemiology of candidemia in Qatar, the Middle East: performance of MALDI-TOF MS for the identification of Candida species, species distribution, outcome, and susceptibility pattern. Infection. 2014 Apr;42(2):393-404.] conducted a retrospective study covering the period from January 1, 2004, to December 31, 2010 at a hospital in Qatar. They determined that 201 isolates obtained from 187 patients with candidemia gave the same results as molecular technique identification with MALDI-TOF MS. They reported that 21 isolates (10.4%) could only be identified at the genus level in identification with the traditional method [2020 Taj-Aldeen SJ, Kolecka A, Boesten R, Alolaqi A, Almaslamani M, Chandra P, et al. Epidemiology of candidemia in Qatar, the Middle East: performance of MALDI-TOF MS for the identification of Candida species, species distribution, outcome, and susceptibility pattern. Infection. 2014 Apr;42(2):393-404.]. In the above studies, it has been reported that the identification studies performed with MALDI-TOF MS are fast, inexpensive, and highly accurate.
CONCLUSION
As a result, oral yeast load of young healthy individuals aged 18-25 was determined. Oral yeast load was 0.00±0.01 to 1.87±0.01 log CFU in SCAF medium in young healthy individuals; It was determined that bacterial and yeast load in SDA medium ranged from 1.79±0.0 to >3.00 log CFU.
Two different sowing methods were used in our study. Serial dilutions of the mouthwashes taken in the first sampling were prepared and inoculated into two SCAF media from each dilution. But yeast load could not be obtained. The centrifugation method was used in the second sampling, and the collected mouthwashes were inoculated into two SCAF and two SDA media. As a result, counting results were obtained from petri dishes. In addition, when we evaluated the isolates taken from two media in the centrifugation method, it was determined that the isolates obtained from the SCAF medium were yeast, while the isolates obtained from the SDA medium were generally bacterial isolates. For this reason, it is recommended to use the centrifugation method to determine yeast load from oral samples and to use an antibiotic (such as SCAF) or specific (such as CHROMAgar Candida) medium for yeast isolation.
There was a discrepancy in the nomenclature of 12 isolates for identification with MALDI-TOF MS using conventional methods. However, 39 isolates identified by MALDI-TOF MS had a score of <1.7 and were within the unreliable definition. Further identification with both conventional and molecular techniques is required for the correct identification of isolates at the species level and the identification of unreliable labels. Despite the significant cost of the device and maintenance, MALDI-TOF MS has been used successfully in clinical laboratories because it is fast, inexpensive, easy and efficient. However, there is a need for research such as identifying closely related species and expanding databases.
Today, next-generation sequencing (NGS) studies have gained momentum in microbiome studies. Our study was carried out with a method based on traditional culture. Therefore, in our study, non-culturable species were missed in determining the oral yeast load. In addition, the studies in the literature were mostly carried out among individuals with the disease, and the age range is very wide. For this reason, it is recommended to conduct NGS studies with a narrow age range in which the characteristics of the participants can be determined more comprehensively.
Acknowledgements
Microbial count loads of centrifugation method and germ tube test results of this study were presented as an oral summary text in the 2ND INTERNATIONAL EURASIAN MYCOLOGY CONGRESS (EMC' 19) held in Konya, Turkey, on 6-9 September 2009. For her assistance in identification with MALDI-TOF MS, we would like to thank Dr. Yasemin NUMANOĞLU ÇEVİK.
REFERENCES
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Funding:
This study was supported by Çanakkale Onsekiz Mart University Scientific Research Projects Coordination Unit. Project No: BAP-TYL-2559.
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Publication Dates
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Publication in this collection
04 Sept 2023 -
Date of issue
2023
History
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Received
02 May 2023 -
Accepted
31 May 2023