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Review

Candida spp. DNA Extraction in the Age of Molecular Diagnosis

by
Smaranda Ioana Codreanu
1 and
Cristina Nicoleta Ciurea
2,*
1
Faculty of Medicine, “George Emil Palade” University of Medicine, Pharmacy, Sciences and Technology of Târgu Mures, 38 Gheorghe Marinescu Street, 540139 Târgu Mures, Romania
2
Department of Microbiology, Faculty of Medicine, “George Emil Palade” University of Medicine, Pharmacy, Sciences and Technology of Târgu Mures, 38 Gheorghe Marinescu Street, 540139 Târgu Mures, Romania
*
Author to whom correspondence should be addressed.
Microorganisms 2023, 11(4), 818; https://doi.org/10.3390/microorganisms11040818
Submission received: 21 February 2023 / Revised: 16 March 2023 / Accepted: 21 March 2023 / Published: 23 March 2023
(This article belongs to the Special Issue Latest Review Papers in Molecular Microbiology and Immunology 2023)

Abstract

:
The standard procedure for the detection of candidemia is blood culture, a method that might require 3–5 days for a positive result. Compared with culturing, molecular diagnosis techniques can provide faster diagnosis. The current paper aimed to present the main strengths and constraints of current molecular techniques for Candida spp. DNA extraction, analyzing their efficiency from a time, price, and ease of usage point of view. A comprehensive search was conducted using the PubMed NIH database for peer-reviewed full-text articles published before October 2022. The studies provided adequate data on the diagnosis of the infection with the Candida spp. DNA extraction is a relevant step in yielding pure qualitative DNA to be amplified in molecular diagnostic techniques. The most used fungal DNA extraction strategies are: mechanical (bead beating, ultrasonication, steel-bullet beating), enzymatic (proteinase K, lysozyme, lyticase), and chemical extraction (formic acid, liquid nitrogen, ammonium chloride). More clinical studies are needed to formulate adequate guidelines for fungal DNA extraction as the current paper highlighted discrepancies in the reported outcome.

1. Introduction

Once a rare and underdiagnosed infection, Candida spp. infections have taken more and more space in the last three decades. Candida spp. are among the top ten most frequent bloodstream pathogens and ranks as the number one cause of fungal infections, being able to cause superficial as well as deep infections [1,2,3,4].
Superficial infections (mucocutaneous candidiasis) can be either non-genital (e.g., oropharyngeal disease) or genitourinary (vulvovaginal candidiasis, balanitis, balanoposthitis) and they can occur on immunocompromised, as well as immunocompetent, individuals [5]. On the other hand, invasive candidiasis is associated with prolonged hospital stays and catheter use and in severe forms of septic shock, it can have a mortality of over 60% [6,7].
The population of neutropenic or immunocompromised patients is at the outermost risk of developing a form of fatal Candida spp. infection, and, as their number rises, so should our diagnostic tools [8,9,10,11,12,13]. The time of diagnosis is one of the most important predicting factors of mortality, as up to 50% of immunocompromised patients are diagnosed with a systemic mycosis post-mortem [14,15].
Fast identification of the pathogen allows the selection of the right treatment, ensuring better survival rates for the patients. A reliable method of diagnosis could ensure prompt time for starting the antifungal therapy and de-escalate if needed, decreasing multi-drug resistant pathogens [16,17,18,19]. Beginning an adequate empirical antibiotic treatment seems to be a variable that impacts independently the survival rates and prognosis of critically ill patients. Therefore, in an era where antibiotic stewardship is a widely debated topic, antifungal sensitivity and fungal speciation should be a priority.
The specific and time-efficient fungal diagnostic methods were not discussed widely enough in the current technological context. There is a stringent need for molecular diagnostics which translates into an increasing number of commercial extraction kits and in-house protocols that were developed over the last few years. A molecular diagnosis means faster results (less than 6 h), better selection of specific fungal therapy, and less biological material needed for correct identification compared to culture. Using polymerase chain reaction (PCR) methods reaches better and faster results than blood cultures (BC) and is a preferred approach in modern microbiology laboratories, as it proves to correctly diagnose up to 95% of invasive candidiasis cases [20,21]. The key to reaching good specificity and sensitivity is being able to extract high-quality, pure, fungal DNA from different samples (urine, blood, sputum, and swabs) [22]. That is the reason why establishing the highest-yielding methods should be a priority in the era of molecular diagnostic methods.
The current paper presents molecular techniques for Candida spp. DNA extraction and aims to highlight the advantages and disadvantages of each objectively. To determine the best approach based on the laboratory’s features, a comparative assessment is needed by identifying and describing different laboratory approaches: in-house protocols and commercial kits. The novelty of the review lies in comparing not only different approaches of the same method but also comparing different methods to each other.

2. Materials and Methods

A comprehensive search was conducted analyzing all research articles before October 2022 and included the PubMed NIH database. The guidelines for the selection and search were according to the PRISMA Checklist [23] and Cochrane Handbook for Systematic Reviews [24]: provide a clear objective of the review, present transparently the database interrogation criteria, present the results and limitations of the included studies, and discuss the limitations of the review and current practices.
The search was limited to English for accuracy reasons. Controlled vocabulary with keywords was used to search for studies of fungal DNA extraction. The keywords were ‘Candida spp. DNA extraction’ and ‘Candida molecular diagnosis’. Primers of any type and all targeted genes were accepted into the review.
The selection of the studies was carried on based on a two-step approach. The first step consisted of a preliminary assessment based on the title and the abstract, in order to eliminate ineligible results. The second step consisted in assessing the suitability of the papers, based on a full text read.

2.1. Inclusion Criteria

Included studies were peer-reviewed full-text articles that provided adequate data on the diagnosis of the infection with the Candida spp. The criteria proposed by the European Organization for Research and Treatment of Cancer/Invasive Fungal Infections Cooperative Group [25] and the Practice Guidelines of the American Thoracic Society [26] were followed. The recommendations included taking into consideration the DNA PCR methods as possible approaches for diagnosing invasive candidiasis, not using (1,3)-β-d-Glucan as a single method for diagnosing Candida spp. infections, and researching the impact of timely diagnosis on lowering mortality in patients with fungal infections.

2.2. Exclusion Criteria

The non-English papers and studies with fewer than 25 samples before enrollment in the study were excluded for feasibility reasons. The case reports were excluded as not being relevant for the review, as well as editorial letters and any paper published after October 2022.

3. Results

The initial database searches revealed 533 results, after the removal of the duplicates and the articles added from the reference list checking, 25 articles were left.
The included papers were 19 studies on yeast extraction protocols and six systematic reviews focusing on the guidelines for fungal diagnosis with biochemical and molecular techniques (to ensure adequate credibility, the AMSTAR tool [27] was used).
The identified methods presented below include the following extraction strategies: mechanical (bead beating, ultrasonication, steel-bullet beating), enzymatic (proteinase K, lysozyme, lyticase), and chemical (formic acid, liquid nitrogen, ammonium chloride).
The enzymatic strategies mentioned in short need a more detailed presentation as they play a key role in the extraction methods. Lysozyme is a glycolytic hydrolase that breaks the bond between N-acetylmuramic acid (NAM) and N-acetyl glucosamine (NAG), usually present in the cell wall of Gram-positive bacteria. Its addition to extraction methods seems to also improve the detection of Candida spp. DNA, although the fungus does not possess such bonds, the enzyme seems to act between the chitin substrate and the cell wall [28,29,30].
Lyticase (zymolase) is an enzyme complex that acts on the β(1→3)-glucose, an important component of the yeast cell wall [31,32,33]. Proteinase K is used to remove protein contamination and inactivate DNAases and RNAases that could potentially affect the sample. This endopeptidase is stable on a wide range of pH and temperatures and tends to work well on samples containing EDTA and calcium [31,34,35]. Regardless of the used enzyme, it is important to mention that there are reported cases of contaminated enzymes [36,37].
The lack of a gold standard when comparing methods and results for DNA extraction techniques makes it complicated for microbiologists to choose the best-suited option for their laboratories.
Table 1 and Table 2 summarize the 66 extraction methods including commercial and in-house protocols that make the object of the current paper, mentioning the pretreatment used (when needed) and the results stated as extracted DNA (quantitative results) or as detection limit (qualitative results) based on the results of each study analyzed. Table 1 presents the extraction kits that can be used from various sample types, while Table 2 characterizes the extraction kits approved for blood specimens.
As seen in Table 1 and Table 2., some of the sources cited the Candida spp. detection limit, some sources cited the Candida DNA quantity, and some delivered information about the total fungal or microbiological DNA without clear speciation. Extraction methods differed in terms of pretreatment, sample type, and detection limits, and might be difficult to compare, especially as there is no standardized method to express the sensitivities of different extraction kits. Moreover, some of the studies did not provide a clear methodology and delivered quantitative data by the increase compared to the chosen standard methods (e.g., a commercial kit). In addition to that, most available comparative studies used samples from healthy individuals and spiked them artificially by inoculating them with known quantities of pathogens and diluting them accordingly [43,44].
Some studies that included more species of the Candida spp. genus reported a marked heterogeneity among the outcome (e.g., for C. tropicalis only NucliSENSTM easyMAGTM yielded satisfactory results even for 10 CFU/mL). The reason behind this phenomenon may be the biofilm producing capacity of some of the species which might require a more aggressive approach in extracting the DNA due to the biofilm’s hydrophobicity [43,50].
It is worth highlighting that some methods (e.g., EZ1TM DNA Tissue Kit) had vastly different reported detection limits based on pretreatment (chemical, thermal, or no added pretreatment). In addition to that, the quantity used for probe analysis seems to have impacted the results. A possible explanation could be that the methods impact the DNA strands and the amplification process is less effective [38,44].
For other methods, the pretreatment seems to either make little difference in the retrieved DNA quantity or lower it (e.g., Maxwell 16 Cell LEV DNA Purification Kit, Maxwell 16 Blood DNA Purification Kit, High Pure PCR Template Preparation). Therefore, in these cases, pretreatment not only has no added benefit but also adds unnecessary time to the process [44].
The fungal concentration in different types of Candida spp. infections (superficial of deep infections) is different; hence, this should also be kept in mind when choosing the extraction method.
When comparing the methods based on the type of sample used (e.g., QIAamp DNA mini kit), there is a stark difference in the initial sample quantity used and the cut-off for the detection limit. This finding suggests that the comparative approach should also be made with the same pretreatment on different sample types to generate the best possible strategies [41,42].
The sample volume appears to have made little difference in the case of Polaris enrichment, delivering the same results for 1 vs. 5 mL of initial sample volume. However, there were not many studies comparing the impact of the sample size in diagnosis [47].
Each type of pretreatment strategy and the advantage and limitations of the methods mentioned in Table 1 and Table 2 is presented in detail in the sections below.

3.1. Mechanical Extraction

The database search retrieved a multitude of mechanical extraction methods each with its advantages and limitations, as described in Table 3.
The bead beating and steel bullet beating protocols will be discussed at large in the review.
Ultrasonication is currently used only in laboratory settings for the extraction of bacterial pathogens. However, it is worth mentioning as it provides a future alternative for mechanical extraction protocols [32,51].
The high-speed cell disruption is a method not used at large for medical diagnostic purposes. It involves centrifugation and sedimentation and it offers the benefit of being fast and efficient (handling 12 samples in 1 h). However, it appears to generate a high lysis of the DNA [33].

3.1.1. Bead Beating

The bead beating is a novel approach that is added to provide a 135-fold increase in the quantity of extracted fungal DNA and separate it from the human DNA, especially in whole blood by additional cell lysis. The method was added as a supplementary step to the already existing automatic kit EZ1 DNA Tissue-Kit (Qiagen, Hilden, Germany) [38].
The cell lysis is achieved through collision and physical contact between the beads and the cells, and the size of the beads, the sample texture, the types of cells to be lysed, as well as the bead milling method, might influence the results [34]. Beads can be made of glass, tungsten carbide, zirconium oxide, stainless steel, silica, ceramic [35,52], each material having its own characteristics. The beads material might influence the disruption energy that is applied to the target.
The bead beating was used before or after proteinase K digestion [53], liquid nitrogen maceration [54], or a combination of both in spiked whole blood or respiratory rinse. The protocol included using either a single ceramic bead or three beads (Precelys Lysing Kit CK 14_0.5 mL, VWR International GmbH, Darmstadt, Germany). The beads are added to the samples and shaken at high-speed to provide mechanical destruction of the cell wall. The resulting samples were diluted, plated on Sabouraud Dextrose GC Agar, and incubated for four days at 30 °C [38].
In bead beating protocols, the three beads approach provides better cell wall destruction and DNA release increasing it by up to 100-fold, independent of the proteinase K and liquid nitrogen use [51]. Although the DNA quantity seems to increase, the quality appears to suffer, with an impaired length of strands. This effect was previously described and it should be taken into consideration when choosing more strenuous bead-beating protocols [52,55,56,57].
However, a study mapping the urinary tract microbiome indicated that a bead beating with two silica beads (Biospec Products, Inc.) increased the detected fungal DNA only by 2–3-fold. Despite taking double the time when compared to commercial kits (150–180 min vs. 75–90 min), the mechanical addition seems nonetheless effective [28].
In newer methods such as metagenomic next-generation sequencing (mNGS), gentle DNA extraction is preferred. Hence, bead beating has a negative outcome in this case, causing a loss of short DNA sequences [58].
It is noteworthy that for the fungal pathogens with a larger genome, bead beating results in significantly better DNA extraction when compared to ultrasonication. Ultrasonication transfers three times more energy and should provide superior results at a first glance, but it does not manage complete cell disruption in laboratory conditions [51].
Laborious and cost-intensive bead beating methods (e.g., magnetic beads) tend to be less frequently used as they deliver worse qualitative and quantitative results when compared to accessibly methods such as phenol-chloroform extraction [59].
The frequency of bead beating can negatively affect the lengths of Candida DNA fragments in PBS suspensions, and triple bead beating might compensate the fragmentation of DNA [38].

3.1.2. Steel-Bullet Beating

A more cost-effective alternative to bead beating could arise: steel-bullet beating [40]. This method proposes steel bullets that can be reused and sterilized, compared to single-use ceramic or glass beads. However, further studies are needed to assess the risk of probe contamination and the level of experience when using this method.
Motamedi et al. investigated three steel-bullet protocols [60,61,62,63,64,65] and compared their results to the glass beads protocol [38]. The details of each method are pictured below (Table 4).
Methods 1 and 3 only differ from a purification method point of view. The purification method appears to make little difference from a DNA extraction point of view, but the commercial kit took 60 min compared to 75 min for the phenol-chloroform purification [40].
The lysis buffer used was: 100 mM NaCl, 1 mM EDTA, 10 mM Tris–HCl, 2% Triton X100, and 0.5% SDS. The freezing step consisted of one-hour incubation at −80°C. The control method was carried out according to Scharf et al. [38].
The steel-bullets were prewashed with a lysis buffer and added together with the samples in a cylinder to perform the DNA extraction. After this step, each series of samples was purified according to the described protocol with either phenol-chloroform [66] or a commercial kit (Yekta Tajhiz Azma, Iran).
The method involving freezing yielded slightly higher DNA concentrations due to a more fragile cell wall but was more time-consuming and more expensive. Therefore, the steel-bullet method is valid also without it.
Overall, the superior method time and money-wise was Method 3, incorporating the steel bullet, the lysis buffer, and the commercial kit, making it a suitable option to be further explored [40].
It is relevant to mention that the authors of the study used an ex vivo model for onychomycosis and that the results can be highly impacted based on preparation [40,55].

3.2. Thermal Extraction

Thermal extraction is mainly used as an addition to either enzymes or mechanical beating. The two preferred methods are either bringing the samples to boil or freezing them using liquid nitrogen [28,38,40,45,67]. Liquid nitrogen has an impact on costs (being expensive to buy and deposit), while also posing a chemical hazard.
While freezing alone does not seem to make a significant difference in DNA yield [40], combined with 10 min of boiling, it appears to be superior to commercial kits alone or commercial kits with an added enzymatic step [45].
However, high temperatures come across as offering high purity without the need for complicated protocols or expensive equipment [41,45]. A newly proposed method for DNA extraction is Chelex-100/boiling. Chelex-100 is a compound mainly used in forensic sciences for detecting blood or cells. By boiling the samples, the DNA is released and with the newly formed Chelex-100/magnesium ion complex, the DNA denaturation is reduced. Thus, the method offers similar DNA quality to the commercial kit. The added advantage is that it halves the preparation time (20 min vs. 40 min) before the amplification process [41].
High temperatures pose to be ideal for fungal DNA extraction from older samples such as formalin-fixed, paraffin-embedded tissue [67]. The extraction rates in these cases are often lower than from fresh tissues and can represent a challenge when trying to diagnose a cohort retrospectively [68].

3.3. Enzymatic Extraction

Thirty-six different enzymatic pretreatment protocols were analyzed as described in Table 1 and Table 2.
The conclusion was that some commercial kits (e.g., DNeasy Blood and Tissue, PureLink Genomic DNA Mini, High Pure PCR Template Preparation) exhibited the same results with or without pre-treatments, detecting the Candida spp. at concentrations from 106 CFU/mL and that compared between each other, the commercial kits with an enzymatic step included offer better results than those without [42,43,44,66].
Regarding which enzyme proves to be more efficient, Ackmann et al. suggested that a step with both lysozyme and lyticase offers significantly better results than either single enzymatic addition [28].

3.4. Chemical Extraction

For protocols involving PCR amplification, phenol-chloroform, ammonium chloride [69], and TTE (Triton-Tris-EDTA) [70] are the in-house chemical methods taken into consideration for fragilizing the fungal wall and lysing human DNA and erythrocytes. The phenol-chloroform seems to yield better DNA extraction compared to both automated kits and bead beating probably due to the loss during silica column purification, respectively, due to mechanical disruption of the fungal DNA.

3.5. Manual vs. Automated Extraction Kits

The DNA purity obtained with different types of kits from different manufacturers is greatly variable and also improves or declines based on the pretreatment applied. However, there is an objective parameter that seems to differ: the time needed to process the samples. For the automatic kits, the time is around 40 min, whereas for the manual ones, it adds up to 2 h. Regardless of the pretreatment strategies, comparing three automated kits to six manual ones revealed that they offer a comparative yield rate of the Candida spp. DNA [44].
As for which commercially available kits seem to perform better, the opinions are split based on adding supplementary extraction steps or following only the recommended protocols [69].

4. Discussion

The standard procedure for the detection of candidemia is blood culture (BC) [71,72], a method that needs between 3 and 5 days for a positive result. BC might also provide false negative results in proven cases of candidiasis, as only 8–32% of the patients with autopsy-verified invasive candidiasis were diagnosed antemortem [14]. The collection methods highly influence the BC results, as BC might become easily contaminated, or improper collection techniques might affect the viability of microorganisms. Using blood or serum samples to search directly for the pathogenic antigens is a nonculture method that was discussed, but was proven to offer low sensitivity [73,74,75].
The importance of molecular diagnosis relies on the fact that conventional diagnosis (culturing) might provide late or even false negative results in some cases. Non-culture diagnosis methods (e.g., antibody, antigens, polymerase chain reaction) are currently part of the medical practice, as complementary tests, next to traditional culturing [76]. The purification of DNA stands at the basis of molecular analysis.
Compared with bacterial DNA, fungal DNA extraction protocols poses challenges, mostly regarding the toughness of the fungal cell walls [77]. Successful extraction of the fungal DNA means understanding the particularities of the Candida spp.’s cell walls containing 1,3-beta-D-glucan (BDG), chitin, and mannan. The three main components can be used to detect the fungal levels in blood samples but are not specific for yeast infections. Additionally, some species tend to produce biofilms, making them harder to diagnose and treat. The special cell wall composition makes Candida spp. detection a difficult process, requiring high temperatures or toxic agents to extract the genomic DNA [78,79,80,81,82].
In the case of critically ill patients, it is worth searching for a method that would be independent of the biological sample (blood, sputum, saliva, oral rinse) and in small sample volumes for frequent testing to perform the extraction at a satisfactory level. As such, the fungal infection might have a different load and, therefore, be harder to diagnose based on its site (e.g., C. albicans is easier to detect in serum when compared with whole blood and sputum presents commensal pathogens that are not the cause of the infection) [19,83,84].
In many cases, candidiasis in different patient populations is species-dependent, with C. albicans being the most common strain, C. glabrata being more prevalent in organ-transplanted patients, C. parapsilosis and C. tropicalis being more present in the southern hemisphere and C. krusei targeting patients with hematological malignancies [4,23,24]. These strains tend to make up for more than half of the diagnosed candidiasis in hospital settings, but their prevalence varies greatly based on geographical area [85,86,87,88]. A misdiagnosis usually occurs because of the mix of species in the sample or because of the close phenotypic profile [89].
The right treatment makes an impact on candidemia, as the mortality of the patients diagnosed in the first 24 h after the onset of the disease was 15.40% versus over 40% when diagnosed later than 72 h [90]. The timely start of antifungal therapy also appears to have an impact on the hospital stay and a correct diagnosis might release a part of the financial burden of healthcare [91].
Moreover, several species (e.g., Candida auris) rose in numbers as nosocomial infections with high rates of mortality and the behavior of a multi-drug resistant fungus. The current methods are inefficient in detecting the pathogen at low concentrations, and that is the reason why a comparative approach of the different methods could make a great difference in these cases and could potentially prevent fungal outbreaks [83,84,92,93,94].
One of the main limitations of the current review was that the samples came from a mock population consisting of biological samples from healthy patients and inoculated with fungal cells. In the cited literature, there is a limited number of studies using a sick population for systemic candidiasis. Löffler et al. reviewed the samples from neutropenic patients suspected with systemic candidiasis [48]. Richard et al. also proposed an efficient method of DNA extraction from a clinical population, but there were only two patients in the cohort and the results were NOT tested further [95].

5. Conclusions

The current methods for detecting Candida spp. at low concentrations are highly dependable on the extraction protocols used. Thus, a comparative approach of the different methods could make a great difference and could potentially prevent fungal outbreaks and reduce mortality. Naturally, it is to be considered that each reported result is also influenced by the amplification method that was chosen.
A wide variety of commercial kits also translates in applicability to different types of biological samples having different concentrations of human DNA. Therefore, validation in clinical settings is needed before choosing the best extraction method.

Author Contributions

Conceptualization, S.I.C. and C.N.C.; methodology, C.N.C.; software, S.I.C.; validation, C.N.C.; formal analysis, S.I.C.; investigation, S.I.C.; resources, S.I.C.; data curation, S.I.C. and C.N.C.; writing—original draft preparation, S.I.C.; writing—review and editing, S.I.C. and C.N.C.; visualization, S.I.C. and C.N.C.; supervision, C.N.C.; project administration, C.N.C.; funding acquisition, C.N.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the University of Medicine, Pharmacy, Science and Technology “George Emil Palade” of Târgu Mureș, Research Grant number 10127/2/17.12.2020.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Eggimann, P.; Bille, J.; Marchetti, O. Diagnosis of Invasive Candidiasis in the ICU. Ann. Intensive Care 2011, 1, 37. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Pfaller, M.A.; Diekema, D.J. Epidemiology of Invasive Candidiasis: A Persistent Public Health Problem. Clin. Microbiol. Rev. 2007, 20, 133–163. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. van Hal, S.J.; Marriott, D.J.E.; Chen, S.C.A.; Nguyen, Q.; Sorrell, T.C.; Ellis, D.H.; Slavin, M.A. Australian Candidaemia Study Candidemia Following Solid Organ Transplantation in the Era of Antifungal Prophylaxis: The Australian Experience. Transpl. Infect. Dis. Off. J. Transplant. Soc. 2009, 11, 122–127. [Google Scholar] [CrossRef]
  4. Ortega, M.; Marco, F.; Soriano, A.; Almela, M.; Martínez, J.A.; López, J.; Pitart, C.; Mensa, J. Candida Species Bloodstream Infection: Epidemiology and Outcome in a Single Institution from 1991 to 2008. J. Hosp. Infect. 2011, 77, 157–161. [Google Scholar] [CrossRef] [PubMed]
  5. Achkar, J.M.; Fries, B.C. Candida Infections of the Genitourinary Tract. Clin. Microbiol. Rev. 2010, 23, 253–273. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Chow, N.A.; de Groot, T.; Badali, H.; Abastabar, M.; Chiller, T.M.; Meis, J.F. Potential Fifth Clade of Candida Auris, Iran, 2018. Emerg. Infect. Dis. 2019, 25, 1780–1781. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Kollef, M.; Micek, S.; Hampton, N.; Doherty, J.A.; Kumar, A. Septic Shock Attributed to Candida Infection: Importance of Empiric Therapy and Source Control. Clin. Infect. Dis. 2012, 54, 1739–1746. [Google Scholar] [CrossRef] [PubMed]
  8. Ghanem-Zoubi, N.; Khoury, J.; Arnon, M.; Zorbavel, D.; Geffen, Y.; Paul, M. Risk Factors for Non-Albicans Candidemia Focusing on Prior Antifungal and Immunosuppressive Therapy. Isr. Med. Assoc. J. IMAJ 2019, 21, 303–307. [Google Scholar]
  9. Pyrgos, V.; Ratanavanich, K.; Donegan, N.; Veis, J.; Walsh, T.J.; Shoham, S. Candida Bloodstream Infections in Hemodialysis Recipients. Med. Mycol. 2009, 47, 463–467. [Google Scholar] [CrossRef] [Green Version]
  10. Girmenia, C.; Finolezzi, E.; Federico, V.; Santopietro, M.; Perrone, S. Invasive Candida Infections in Patients With Haematological Malignancies and Hematopoietic Stem Cell Transplant Recipients: Current Epidemiology and Therapeutic Options. Mediterr. J. Hematol. Infect. Dis. 2011, 3, e2011013. [Google Scholar] [CrossRef] [Green Version]
  11. Delaloye, J.; Calandra, T. Invasive Candidiasis as a Cause of Sepsis in the Critically Ill Patient. Virulence 2014, 5, 161–169. [Google Scholar] [CrossRef] [Green Version]
  12. Martin-Loeches, I.; Antonelli, M.; Cuenca-Estrella, M.; Dimopoulos, G.; Einav, S.; De Waele, J.J.; Garnacho-Montero, J.; Kanj, S.S.; Machado, F.R.; Montravers, P.; et al. ESICM/ESCMID Task Force on Practical Management of Invasive Candidiasis in Critically Ill Patients. Intensive Care Med. 2019, 45, 789–805. [Google Scholar] [CrossRef] [PubMed]
  13. Barantsevich, N.; Barantsevich, E. Diagnosis and Treatment of Invasive Candidiasis. Antibiotics 2022, 11, 718. [Google Scholar] [CrossRef] [PubMed]
  14. Clancy, C.J.; Nguyen, M.H. Finding the “Missing 50%” of Invasive Candidiasis: How Nonculture Diagnostics Will Improve Understanding of Disease Spectrum and Transform Patient Care. Clin. Infect. Dis. 2013, 56, 1284–1292. [Google Scholar] [CrossRef]
  15. Muskett, H.; Shahin, J.; Eyres, G.; Harvey, S.; Rowan, K.; Harrison, D. Risk Factors for Invasive Fungal Disease in Critically Ill Adult Patients: A Systematic Review. Crit. Care 2011, 15, R287. [Google Scholar] [CrossRef] [Green Version]
  16. Wickes, B.L.; Wiederhold, N.P. Molecular Diagnostics in Medical Mycology. Nat. Commun. 2018, 9, 5135. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Sanguinetti, M.; Posteraro, B.; Beigelman-Aubry, C.; Lamoth, F.; Dunet, V.; Slavin, M.; Richardson, M.D. Diagnosis and Treatment of Invasive Fungal Infections: Looking Ahead. J. Antimicrob. Chemother. 2019, 74, ii27–ii37. [Google Scholar] [CrossRef] [Green Version]
  18. Morrell, M.; Fraser, V.J.; Kollef, M.H. Delaying the Empiric Treatment of Candida Bloodstream Infection until Positive Blood Culture Results Are Obtained: A Potential Risk Factor for Hospital Mortality. Antimicrob. Agents Chemother. 2005, 49, 3640–3645. [Google Scholar] [CrossRef] [Green Version]
  19. Nieto, M.; Robles, J.C.; Causse, M.; Gutiérrez, L.; Cruz Perez, M.; Ferrer, R.; Xercavins, M.; Herrero, E.; Sirvent, E.; Fernández, C.; et al. Polymerase Chain Reaction Versus Blood Culture to Detect Candida Species in High-Risk Patients with Suspected Invasive Candidiasis: The MICAFEM Study. Infect. Dis. Ther. 2019, 8, 429–444. [Google Scholar] [CrossRef] [Green Version]
  20. Smith, K.; Diggle, M.A.; Clarke, S.C. Comparison of Commercial DNA Extraction Kits for Extraction of Bacterial Genomic DNA from Whole-Blood Samples. J. Clin. Microbiol. 2003, 41, 2440–2443. [Google Scholar] [CrossRef] [Green Version]
  21. Tissari, P.; Zumla, A.; Tarkka, E.; Mero, S.; Savolainen, L.; Vaara, M.; Aittakorpi, A.; Laakso, S.; Lindfors, M.; Piiparinen, H.; et al. Accurate and Rapid Identification of Bacterial Species from Positive Blood Cultures with a DNA-Based Microarray Platform: An Observational Study. Lancet 2010, 375, 224–230. [Google Scholar] [CrossRef] [PubMed]
  22. van den Brand, M.; Peters, R.P.H.; Catsburg, A.; Rubenjan, A.; Broeke, F.J.; van den Dungen, F.A.M.; van Weissenbruch, M.M.; van Furth, A.M.; Kõressaar, T.; Remm, M.; et al. Development of a Multiplex Real-Time PCR Assay for the Rapid Diagnosis of Neonatal Late Onset Sepsis. J. Microbiol. Methods 2014, 106, 8–15. [Google Scholar] [CrossRef] [PubMed]
  23. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef]
  24. Cochrane Handbook for Systematic Reviews of Interventions. Available online: https://training.cochrane.org/handbook/current (accessed on 15 January 2023).
  25. De Pauw, B.; Walsh, T.J.; Donnelly, J.P.; Stevens, D.A.; Edwards, J.E.; Calandra, T.; Pappas, P.G.; Maertens, J.; Lortholary, O.; Kauffman, C.A.; et al. Revised Definitions of Invasive Fungal Disease from the European Organization for Research and Treatment of Cancer/Invasive Fungal Infections Cooperative Group and the National Institute of Allergy and Infectious Diseases Mycoses Study Group (EORTC/MSG) Consensus Group. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2008, 46, 1813–1821. [Google Scholar] [CrossRef]
  26. Hage, C.A.; Carmona, E.M.; Epelbaum, O.; Evans, S.E.; Gabe, L.M.; Haydour, Q.; Knox, K.S.; Kolls, J.K.; Murad, M.H.; Wengenack, N.L.; et al. Microbiological Laboratory Testing in the Diagnosis of Fungal Infections in Pulmonary and Critical Care Practice. An Official American Thoracic Society Clinical Practice Guideline. Am. J. Respir. Crit. Care Med. 2019, 200, 535–550. [Google Scholar] [CrossRef] [PubMed]
  27. Shea, B.J.; Reeves, B.C.; Wells, G.; Thuku, M.; Hamel, C.; Moran, J.; Moher, D.; Tugwell, P.; Welch, V.; Kristjansson, E.; et al. AMSTAR 2: A Critical Appraisal Tool for Systematic Reviews That Include Randomised or Non-Randomised Studies of Healthcare Interventions, or Both. BMJ 2017, 358, j4008. [Google Scholar] [CrossRef] [Green Version]
  28. Ackerman, A.L.; Anger, J.T.; Khalique, M.U.; Ackerman, J.E.; Tang, J.; Kim, J.; Underhill, D.M.; Freeman, M.R.; the NIH Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP). Optimization of DNA Extraction from Human Urinary Samples for Mycobiome Community Profiling. PLoS ONE 2019, 14, e0210306. [Google Scholar] [CrossRef] [Green Version]
  29. Ferraboschi, P.; Ciceri, S.; Grisenti, P. Applications of Lysozyme, an Innate Immune Defense Factor, as an Alternative Antibiotic. Antibiotics 2021, 10, 1534. [Google Scholar] [CrossRef]
  30. Sebaa, S.; Boucherit-Otmani, Z.; Courtois, P. Effects of Tyrosol and Farnesol on Candida Albicans Biofilm. Mol. Med. Rep. 2019, 19, 3201–3209. [Google Scholar] [CrossRef] [Green Version]
  31. Metwally, L.; Fairley, D.J.; Coyle, P.V.; Hay, R.J.; Hedderwick, S.; McCloskey, B.; O’Neill, H.J.; Webb, C.H.; Elbaz, W.; McMullan, R. Improving Molecular Detection of Candida DNA in Whole Blood: Comparison of Seven Fungal DNA Extraction Protocols Using Real-Time PCR. J. Med. Microbiol. 2008, 57, 296–303. [Google Scholar] [CrossRef]
  32. Hohnadel, M.; Felden, L.; Fijuljanin, D.; Jouette, S.; Chollet, R. A New Ultrasonic High-Throughput Instrument for Rapid DNA Release from Microorganisms. J. Microbiol. Methods 2014, 99, 71–80. [Google Scholar] [CrossRef] [PubMed]
  33. Müller, F.M.; Werner, K.E.; Kasai, M.; Francesconi, A.; Chanock, S.J.; Walsh, T.J. Rapid Extraction of Genomic DNA from Medically Important Yeasts and Filamentous Fungi by High-Speed Cell Disruption. J. Clin. Microbiol. 1998, 36, 1625–1629. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Danaeifar, M. New Horizons in Developing Cell Lysis Methods: A Review. Biotechnol. Bioeng. 2022, 119, 3007–3021. [Google Scholar] [CrossRef]
  35. Dettmer, K.; Nürnberger, N.; Kaspar, H.; Gruber, M.A.; Almstetter, M.F.; Oefner, P.J. Metabolite Extraction from Adherently Growing Mammalian Cells for Metabolomics Studies: Optimization of Harvesting and Extraction Protocols. Anal. Bioanal. Chem. 2011, 399, 1127–1139. [Google Scholar] [CrossRef] [PubMed]
  36. Miyajima, Y.; Satoh, K.; Umeda, Y.; Makimura, K. Quantitation of Fungal DNA Contamination in Commercial Zymolyase and Lyticase Used in the Preparation of Fungi. Nippon. Ishinkin Gakkai Zasshi 2009, 50, 259–262. [Google Scholar] [CrossRef] [Green Version]
  37. Rimek, D.; Garg, A.P.; Haas, W.H.; Kappe, R. Identification of Contaminating Fungal DNA Sequences in Zymolyase. J. Clin. Microbiol. 1999, 37, 830–831. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Scharf, S.; Bartels, A.; Kondakci, M.; Pfeffer, K.; Henrich, B.; Haas, R. Introduction of a Bead Beating Step Improves Fungal DNA Extraction from Selected Patient Specimens. Int. J. Med. Microbiol. 2020, 310, 151443. [Google Scholar] [CrossRef]
  39. Zhang, D.; Wang, Y.; Shen, S.; Hou, Y.; Chen, Y.; Wang, T. The Mycobiota of the Human Body: A Spark Can Start a Prairie Fire. Gut Microbes 2020, 11, 655–679. [Google Scholar] [CrossRef]
  40. Motamedi, M.; Amini, A.; Yazdanpanah, S.; Mahmoodi, M.; Khodadadi, H.; Zalpoor, H. Evaluation of Different DNA Extraction Methods Based on Steel-bullet Beating for Molecular Diagnosis of Onychomycosis. J. Clin. Lab. Anal. 2022, 36, e24657. [Google Scholar] [CrossRef]
  41. Das, P.; Pandey, P.; Harishankar, A.; Chandy, M.; Bhattacharya, S. A High Yield DNA Extraction Method for Medically Important Candida Species: A Comparison of Manual versus QIAcube-Based Automated System. Indian J. Med. Microbiol. 2016, 34, 533–535. [Google Scholar] [CrossRef]
  42. Rosenbaum, J.; Usyk, M.; Chen, Z.; Zolnik, C.P.; Jones, H.E.; Waldron, L.; Dowd, J.B.; Thorpe, L.E.; Burk, R.D. Evaluation of Oral Cavity DNA Extraction Methods on Bacterial and Fungal Microbiota. Sci. Rep. 2019, 9, 1531. [Google Scholar] [CrossRef] [PubMed]
  43. Menu, E.; Landier, J.; Prudent, E.; Ranque, S.; L’Ollivier, C. Evaluation of 11 DNA Automated Extraction Protocols for the Detection of the 5 Mains Candida Species from Artificially Spiked Blood. J. Fungi 2021, 7, 228. [Google Scholar] [CrossRef] [PubMed]
  44. Dalla-Costa, L.M.; Morello, L.G.; Conte, D.; Pereira, L.A.; Palmeiro, J.K.; Ambrosio, A.; Cardozo, D.; Krieger, M.A.; Raboni, S.M. Comparison of DNA Extraction Methods Used to Detect Bacterial and Yeast DNA from Spiked Whole Blood by Real-Time PCR. J. Microbiol. Methods 2017, 140, 61–66. [Google Scholar] [CrossRef]
  45. Lim, D.H.; Jee, H.; Moon, K.C.; Lim, C.S.; Jang, W.S. Development of a Simple DNA Extraction Method and Candida Pan Loop-Mediated Isothermal Amplification Assay for Diagnosis of Candidemia. Pathogens 2022, 11, 111. [Google Scholar] [CrossRef] [PubMed]
  46. Golbang, N.; Burnie, J.P.; Klapper, P.E.; Bostock, A.; Williamson, P. Sensitive and Universal Method for Microbial DNA Extraction from Blood Products. J. Clin. Pathol. 1996, 49, 861–863. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Loonen, A.J.M.; Bos, M.P.; van Meerbergen, B.; Neerken, S.; Catsburg, A.; Dobbelaer, I.; Penterman, R.; Maertens, G.; van de Wiel, P.; Savelkoul, P.; et al. Comparison of Pathogen DNA Isolation Methods from Large Volumes of Whole Blood to Improve Molecular Diagnosis of Bloodstream Infections. PLoS ONE 2013, 8, e72349. [Google Scholar] [CrossRef] [Green Version]
  48. Löffler, J.; Hebart, H.; Schumacher, U.; Reitze, H.; Einsele, H. Comparison of Different Methods for Extraction of DNA of Fungal Pathogens from Cultures and Blood. J. Clin. Microbiol. 1997, 35, 3311–3312. [Google Scholar] [CrossRef] [Green Version]
  49. Maaroufi, Y.; Ahariz, N.; Husson, M.; Crokaert, F. Comparison of Different Methods of Isolation of DNA of Commonly Encountered Candida Species and Its Quantitation by Using a Real-Time PCR-Based Assay. J. Clin. Microbiol. 2004, 42, 3159–3163. [Google Scholar] [CrossRef] [Green Version]
  50. Kumari, A.; Mankotia, S.; Chaubey, B.; Luthra, M.; Singh, R. Role of Biofilm Morphology, Matrix Content and Surface Hydrophobicity in the Biofilm-Forming Capacity of Various Candida Species. J. Med. Microbiol. 2018, 67, 889–892. [Google Scholar] [CrossRef]
  51. Starke, R.; Jehmlich, N.; Alfaro, T.; Dohnalkova, A.; Capek, P.; Bell, S.L.; Hofmockel, K.S. Incomplete Cell Disruption of Resistant Microbes. Sci. Rep. 2019, 9, 5618. [Google Scholar] [CrossRef] [Green Version]
  52. Leite, G.M.; Magan, N.; Medina, Á. Comparison of Different Bead-Beating RNA Extraction Strategies: An Optimized Method for Filamentous Fungi. J. Microbiol. Methods 2012, 88, 413–418. [Google Scholar] [CrossRef] [Green Version]
  53. Loeffler, J.; Hebart, H.; Brauchle, U.; Schumacher, U.; Einsele, H. Comparison between Plasma and Whole Blood Specimens for Detection of Aspergillus DNA by PCR. J. Clin. Microbiol. 2000, 38, 3830–3833. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. McCulloch, E.; Ramage, G.; Jones, B.; Warn, P.; Kirkpatrick, W.R.; Patterson, T.F.; Williams, C. Don’t Throw Your Blood Clots Away: Use of Blood Clot May Improve Sensitivity of PCR Diagnosis in Invasive Aspergillosis. J. Clin. Pathol. 2009, 62, 539–541. [Google Scholar] [CrossRef] [PubMed]
  55. Yoshida-Yamamoto, S.; Nishimura, S.; Okuno, T.; Rakuman, M.; Takii, Y. Efficient DNA Extraction from Nail Clippings Using the Protease Solution from Cucumis Melo. Mol. Biotechnol. 2010, 46, 41–48. [Google Scholar] [CrossRef]
  56. Miller, D.N.; Bryant, J.E.; Madsen, E.L.; Ghiorse, W.C. Evaluation and Optimization of DNA Extraction and Purification Procedures for Soil and Sediment Samples. Appl. Environ. Microbiol. 1999, 65, 4715–4724. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Bolano, A.; Stinchi, S.; Preziosi, R.; Bistoni, F.; Allegrucci, M.; Baldelli, F.; Martini, A.; Cardinali, G. Rapid Methods to Extract DNA and RNA from Cryptococcus Neoformans. FEMS Yeast Res. 2001, 1, 221–224. [Google Scholar] [CrossRef] [Green Version]
  58. Zhang, L.; Chen, T.; Wang, Y.; Zhang, S.; Lv, Q.; Kong, D.; Jiang, H.; Zheng, Y.; Ren, Y.; Huang, W.; et al. Comparison Analysis of Different DNA Extraction Methods on Suitability for Long-Read Metagenomic Nanopore Sequencing. Front. Cell. Infect. Microbiol. 2022, 12, 820. [Google Scholar] [CrossRef]
  59. Faggi, E.; Pini, G.; Campisi, E. Use of Magnetic Beads to Extract Fungal DNA. Mycoses 2005, 48, 3–7. [Google Scholar] [CrossRef]
  60. Petinataud, D.; Berger, S.; Ferdynus, C.; Debourgogne, A.; Contet-Audonneau, N.; Machouart, M. Optimising the Diagnostic Strategy for Onychomycosis from Sample Collection to FUNGAL Identification Evaluation of a Diagnostic Kit for Real-Time PCR. Mycoses 2016, 59, 304–311. [Google Scholar] [CrossRef]
  61. Hayette, M.-P.; Seidel, L.; Adjetey, C.; Darfouf, R.; Wéry, M.; Boreux, R.; Sacheli, R.; Melin, P.; Arrese, J. Clinical Evaluation of the DermaGenius® Nail Real-Time PCR Assay for the Detection of Dermatophytes and Candida Albicans in Nails. Med. Mycol. 2019, 57, 277–283. [Google Scholar] [CrossRef]
  62. Hashiyada, M.; Nakayashiki, N.; Funayama, M. Utility Validation of Extraction of Genomic DNA from Hard Tissues, Bone and Nail, Using PrepFilerTM Forensic DNA Extraction Kit. Forensic Sci. Int. Genet. Suppl. Ser. 2009, 2, 172–173. [Google Scholar] [CrossRef]
  63. Monti, D.; Saccomani, L.; Chetoni, P.; Burgalassi, S.; Tampucci, S.; Mailland, F. Validation of Bovine Hoof Slices as a Model for Infected Human Toenails: In Vitro Ciclopirox Transungual Permeation. Br. J. Dermatol. 2011, 165, 99–105. [Google Scholar] [CrossRef] [PubMed]
  64. Akhtar, N.; Sahu, S.; Pathak, K. Antifungal Potential of Tolnaftate against Candida Albicans in the Treatment of Onychomycosis: Development of Nail Lacquer and Ex Vivo Characterization. Pharm. Biomed. Res. 2016, 2, 1–12. [Google Scholar] [CrossRef] [Green Version]
  65. Sleven, R.; Lanckacker, E.; Boulet, G.; Delputte, P.; Maes, L.; Cos, P. Development of a Novel in Vitro Onychomycosis Model for the Evaluation of Topical Antifungal Activity. J. Microbiol. Methods 2015, 112, 73–75. [Google Scholar] [CrossRef] [PubMed]
  66. Walberg, M.; Mørk, C.; Sandven, P.; Jorde, A.T.; Bjørås, M.; Gaustad, P. 18S RDNA Polymerase Chain Reaction and Sequencing in Onychomycosis Diagnostics. Acta Derm. Venereol. 2006, 86, 223. [Google Scholar] [CrossRef] [Green Version]
  67. Willinger, B.; Obradovic, A.; Selitsch, B.; Beck-Mannagetta, J.; Buzina, W.; Braun, H.; Apfalter, P.; Hirschl, A.M.; Makristathis, A.; Rotter, M. Detection and Identification of Fungi from Fungus Balls of the Maxillary Sinus by Molecular Techniques. J. Clin. Microbiol. 2003, 41, 581–585. [Google Scholar] [CrossRef] [Green Version]
  68. Rickerts, V.; Khot, P.D.; Ko, D.L.; Fredricks, D.N. Enhanced Fungal DNA-Extraction from Formalin-Fixed, Paraffin-Embedded Tissue Specimens by Application of Thermal Energy. Med. Mycol. 2012, 50, 667–672. [Google Scholar] [CrossRef] [Green Version]
  69. Gosiewski, T.; Salamon, D.; Szopa, M.; Sroka, A.; Malecki, M.T.; Bulanda, M. Quantitative Evaluation of Fungi of the Genus Candida in the Feces of Adult Patients with Type 1 and 2 Diabetes—A Pilot Study. Gut Pathog. 2014, 6, 43. [Google Scholar] [CrossRef] [Green Version]
  70. Peters, B.M.; Jabra-Rizk, M.A.; Scheper, M.A.; Leid, J.G.; Costerton, J.W.; Shirtliff, M.E. Microbial Interactions and Differential Protein Expression in Staphylococcus Aureus–Candida Albicans Dual-Species Biofilms. FEMS Immunol. Med. Microbiol. 2010, 59, 493–503. [Google Scholar] [CrossRef] [Green Version]
  71. Fernandez, J.; Erstad, B.L.; Petty, W.; Nix, D.E. Time to Positive Culture and Identification for Candida Blood Stream Infections. Diagn. Microbiol. Infect. Dis. 2009, 64, 402–407. [Google Scholar] [CrossRef]
  72. Pappas, P.G.; Kauffman, C.A.; Andes, D.R.; Clancy, C.J.; Marr, K.A.; Ostrosky-Zeichner, L.; Reboli, A.C.; Schuster, M.G.; Vazquez, J.A.; Walsh, T.J.; et al. Clinical Practice Guideline for the Management of Candidiasis: 2016 Update by the Infectious Diseases Society of America. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2016, 62, e1–e50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Arvanitis, M.; Anagnostou, T.; Fuchs, B.B.; Caliendo, A.M.; Mylonakis, E. Molecular and Nonmolecular Diagnostic Methods for Invasive Fungal Infections. Clin. Microbiol. Rev. 2014, 27, 490–526. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Phoompoung, P.; Chayakulkeeree, M. Recent Progress in the Diagnosis of Pathogenic Candida Species in Blood Culture. Mycopathologia 2016, 181, 363–369. [Google Scholar] [CrossRef]
  75. Clancy, C.J.; Nguyen, M.H. Diagnosing Invasive Candidiasis. J. Clin. Microbiol. 2018, 56, e01909-17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Dadar, M.; Tiwari, R.; Karthik, K.; Chakraborty, S.; Shahali, Y.; Dhama, K. Candida Albicans—Biology, Molecular Characterization, Pathogenicity, and Advances in Diagnosis and Control—An Update. Microb. Pathog. 2018, 117, 128–138. [Google Scholar] [CrossRef]
  77. Pilo, P.; Tiley, A.M.M.; Lawless, C.; Karki, S.J.; Burke, J.; Feechan, A. A Rapid Fungal DNA Extraction Method Suitable for PCR Screening Fungal Mutants, Infected Plant Tissue and Spore Trap Samples. Physiol. Mol. Plant Pathol. 2022, 117, 101758. [Google Scholar] [CrossRef]
  78. Gow, N.A.; Hube, B. Importance of the Candida Albicans Cell Wall during Commensalism and Infection. Curr. Opin. Microbiol. 2012, 15, 406–412. [Google Scholar] [CrossRef] [Green Version]
  79. Sorgo, A.G.; Heilmann, C.J.; Brul, S.; de Koster, C.G.; Klis, F.M. Beyond the Wall: Candida Albicans Secret(e)s to Survive. FEMS Microbiol. Lett. 2013, 338, 10–17. [Google Scholar] [CrossRef] [Green Version]
  80. Ruiz-Herrera, J.; Victoria Elorza, M.; Valentín, E.; Sentandreu, R. Molecular Organization of the Cell Wall of Candida Albicans and Its Relation to Pathogenicity. FEMS Yeast Res. 2006, 6, 14–29. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  81. Cao, Y.-Y.; Cao, Y.-B.; Xu, Z.; Ying, K.; Li, Y.; Xie, Y.; Zhu, Z.-Y.; Chen, W.-S.; Jiang, Y.-Y. CDNA Microarray Analysis of Differential Gene Expression in Candida Albicans Biofilm Exposed to Farnesol. Antimicrob. Agents Chemother. 2005, 49, 584–589. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. Domer, J.E. Candida Cell Wall Mannan: A Polysaccharide with Diverse Immunologic Properties. Crit. Rev. Microbiol. 1989, 17, 33–51. [Google Scholar] [CrossRef] [PubMed]
  83. Lone, S.A.; Ahmad, A. Candida Auris—The Growing Menace to Global Health. Mycoses 2019, 62, 620–637. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Keighley, C.; Garnham, K.; Harch, S.A.J.; Robertson, M.; Chaw, K.; Teng, J.C.; Chen, S.C.-A. Candida Auris: Diagnostic Challenges and Emerging Opportunities for the Clinical Microbiology Laboratory. Curr. Fungal Infect. Rep. 2021, 15, 116–126. [Google Scholar] [CrossRef] [PubMed]
  85. Pfaller, M.A.; Messer, S.A.; Moet, G.J.; Jones, R.N.; Castanheira, M. Candida Bloodstream Infections: Comparison of Species Distribution and Resistance to Echinocandin and Azole Antifungal Agents in Intensive Care Unit (ICU) and Non-ICU Settings in the SENTRY Antimicrobial Surveillance Program (2008–2009). Int. J. Antimicrob. Agents 2011, 38, 65–69. [Google Scholar] [CrossRef] [PubMed]
  86. Jung, D.S.; Farmakiotis, D.; Jiang, Y.; Tarrand, J.J.; Kontoyiannis, D.P. Uncommon Candida Species Fungemia among Cancer Patients, Houston, Texas, USA. Emerg. Infect. Dis. 2015, 21, 1942–1950. [Google Scholar] [CrossRef] [PubMed]
  87. Sipsas, N.V.; Lewis, R.E.; Tarrand, J.; Hachem, R.; Rolston, K.V.; Raad, I.I.; Kontoyiannis, D.P. Candidemia in Patients with Hematologic Malignancies in the Era of New Antifungal Agents (2001–2007): Stable Incidence but Changing Epidemiology of a Still Frequently Lethal Infection. Cancer 2009, 115, 4745–4752. [Google Scholar] [CrossRef]
  88. Marchetti, O.; Bille, J.; Fluckiger, U.; Eggimann, P.; Ruef, C.; Garbino, J.; Calandra, T.; Glauser, M.-P.; Täuber, M.G.; Pittet, D.; et al. Epidemiology of Candidemia in Swiss Tertiary Care Hospitals: Secular Trends, 1991-2000. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2004, 38, 311–320. [Google Scholar] [CrossRef]
  89. Criseo, G.; Scordino, F.; Romeo, O. Current Methods for Identifying Clinically Important Cryptic Candida Species. J. Microbiol. Methods 2015, 111, 50–56. [Google Scholar] [CrossRef]
  90. Garey, K.W.; Rege, M.; Pai, M.P.; Mingo, D.E.; Suda, K.J.; Turpin, R.S.; Bearden, D.T. Time to Initiation of Fluconazole Therapy Impacts Mortality in Patients with Candidemia: A Multi-Institutional Study. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2006, 43, 25–31. [Google Scholar] [CrossRef] [Green Version]
  91. Morgan, J.; Meltzer, M.I.; Plikaytis, B.D.; Sofair, A.N.; Huie-White, S.; Wilcox, S.; Harrison, L.H.; Seaberg, E.C.; Hajjeh, R.A.; Teutsch, S.M. Excess Mortality, Hospital Stay, and Cost Due to Candidemia: A Case-Control Study Using Data from Population-Based Candidemia Surveillance. Infect. Control Hosp. Epidemiol. 2005, 26, 540–547. [Google Scholar] [CrossRef] [Green Version]
  92. Delavy, M.; Dos Santos, A.R.; Heiman, C.M.; Coste, A.T. Investigating Antifungal Susceptibility in Candida Species With MALDI-TOF MS-Based Assays. Front. Cell. Infect. Microbiol. 2019, 9, 19. [Google Scholar] [CrossRef] [PubMed]
  93. Jeffery-Smith, A.; Taori, S.K.; Schelenz, S.; Jeffery, K.; Johnson, E.M.; Borman, A.; Manuel, R.; Brown, C.S. Candida Auris: A Review of the Literature. Clin. Microbiol. Rev. 2017, 31, e00029-17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Spivak, E.S.; Hanson, K.E. Candida Auris: An Emerging Fungal Pathogen. J. Clin. Microbiol. 2018, 56, e01588-17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Reichard, U.; Margraf, S.; Hube, B.; Rüchel, R. A Method for Recovery of Candida Albicans DNA from Larger Blood Samples and Its Detection by Polymerase Chain Reaction on Proteinase Genes. Mycoses 1997, 40, 249–253. [Google Scholar] [CrossRef] [PubMed]
Table 1. Characteristics of the analyzed extraction kits and applied pretreatments for various samples types of superficial Candida spp. infections [28,38,39,40,41,42].
Table 1. Characteristics of the analyzed extraction kits and applied pretreatments for various samples types of superficial Candida spp. infections [28,38,39,40,41,42].
Kit’s DescriptionManufacturerSample TypeSample VolumePretreatment
Method
Extracted DNA
(ng/μL)
SpeciesReference
Automatic kits
IndiSpin Pathogen KitIndical
Bioscience
inoculated urine *200 μL-22.8C. albicans[19]
IndiSpin Pathogen KitIndical
Bioscience
inoculated urine *200 μLglass beads9.2C. albicans[19]
IndiSpin Pathogen KitIndical
Bioscience
inoculated urine *200 μLLB39.2C. albicans[19]
Manual kits
In-house protocol urine **1 mLLyS6Candida spp.[27]
In-house protocol urine **1 mLLyT8Candida spp.[27]
In-house protocol urine **1 mLLyS
LyT
14Candida spp.[27]
In-house protocol inoculated hooves ***20 mgsteel bullet
LB
phenol chloroform
244 ± 31.27C. albicans[40]
In-house protocol inoculated hooves ***20 mgfreezing
steel bullet
LB
phenol chloroform
366 ± 49.69C. albicans[40]
In-house protocol inoculated hooves ***20 mgsteel bullet
LB
commercial kit
169.2 ± 27.94C. albicans[40]
In-house protocol inoculated hooves ***20 mgbead beating
LB
phenol chloroform
117 ± 32.48C. albicans[40]
QIAamp DNA mini kitQiagenmouth rinse ****1 mL-30Candida spp.[42]
QIAamp DNA mini kitQiagenmouth rinse ****10 µLLyT
PK
15Candida spp.[42]
QIAamp DNA mini kitQiagenmouth rinse ****10 µLLyT
PK
silica beads
10Candida spp.[42]
In-house protocol mouth rinse ****10 µLPK
SDS
phenol chloroform
18Candida spp.[42]
LyS = lysozyme, LyT = lyticase, PK = proteinase K, LB = lysis buffer, SDS = sodium dodecyl sulphate. Sample preparation: * urine samples from patients presenting clinically with symptomatic UTI, ** standardized mid-stream urine samples from healthy male and female participants,*** inoculated hooves as ex vivo onychomycosis model, **** mouth rinse from healthy patients
Table 2. Characteristics of the analyzed extraction kits on blood specimens and applied pretreatments as DNA extraction strategies.
Table 2. Characteristics of the analyzed extraction kits on blood specimens and applied pretreatments as DNA extraction strategies.
Kit’s DescriptionManufacturerWhole Blood Specimens VolumePretreatment
Method
Detection LimitSpeciesReference
Automatic kits
EZ1TM DNA Tissue Kit *Qiagen200 μL-1400 ng/μLC.glabrata[38]
EZ1TM DNA Tissue Kit *Qiagen200 μLN2570 ng/μLC.glabrata[38]
NucliSENSTM EasyMAGTM *Fisher Scientific200 µLCB
LB
10 CFU/mL Ct < 20C. albicans
C.glabrata
C.parapsilosis
C.tropicalis C. krusei
[43]
EZ1TM DNA Blood 200 µL Kit *Qiagen200 µL-106 CFU/mL[43]
EZ1TM DNA Blood 200 µL Kit *Qiagen200 µLCB
LB
10 CFU/mL Ct < 20[43]
EZ1TM DNA Tissue Kit *Qiagen190 µLLyT10 CFU/mL Ct < 20[43]
EZ1TM DNA Tissue Kit *Qiagen100μL−1 mL-103 CFU/mLC. albicans[44]
EZ1TM DNA Tissue Kit *Qiagen100μL−1 mLTTE
LyS
LyT
102 CFU/mLC. albicans[44]
QIAampTM 96DNA QIAcube HT kit *Qiagen200 μL-106 CFU/mLC. albicans
C.glabrata
C.parapsilosis
C.tropicalis
C. krusei
[43]
Macherey-Nagel™ Pathogène NucleoMag™ *BioMérieux150 μL-106 CFU/mL[43]
Mag-BindTM Viral DNA/RNA kit *Omega Bio-tek200 μL-106 CFU/mL[43]
MagMAX™ Viral/
PathogenNucleic Acid Isolation Kit *
Applied Biosystems
MGISP
400 μL-106 CFU/mL[43]
Chemagic Viral DNA/RNA 300 kit H96 *PerkinElmer200 μL-106 CFU/mL[43]
Virus DNA/RNA Extraction Kit *MGI200 μL-106 CFU/mL[43]
BioextractTM SuperballTM kit *Biosellal200 μL-106 CFU/mL[43]
Maxwell 16 Cell LEV DNA Purification Kit *Promega Co.100μL−1 mL-102 CFU/mLC. albicans[44]
Maxwell 16 Cell LEV DNA Purification Kit *Promega Co.100μL−1 mLTTE
LyS
LyT
102 CFU/mLC. albicans[44]
Maxwell 16 Blood DNA Purification Kit *Promega Co.100μL−1 mL-106 CFU/mLC. albicans[44]
Maxwell 16 Blood DNA Purification Kit *Promega Co.100μL−1 mLTTE
LyS
LyT
102 CFU/mLC. albicans[44]
Manual kits
DNeasy Blood and Tissue *Qiagen100μL−1 mL-Not detectedC. albicans[44]
DNeasy Blood and Tissue *Qiagen100μL−1 mLTTE
Ammonium chloride
LyS
LyT
Bead Beating
102 CFU/mLC. albicans[44]
QIAamp DNA Blood Min i *Qiagen100μL−1 mL-106 CFU/mLC. albicans[44]
QIAamp DNA Blood Mini *Qiagen100μL−1 mLLyS
LyT
Bead Beating
102 CFU/mLC. albicans[44]
PureLink Genomic DNA Mini *Invitrogen Co100μL−1 mL-106 CFU/mLC. albicans[44]
PureLink Genomic DNA Mini *Invitrogen Co100μL−1 mLLyS
LyT
106 CFU/mLC. albicans[44]
High Pure PCR Template Preparation *Roche Inc.100μL−1 mL-106 CFU/mLC. albicans[44]
High Pure PCR Template Preparation *Roche Inc.100μL−1 mLLyS
LyT
103 CFU/mLC. albicans[44]
UMD-Universal CE IVD *Molzym GmbH & Co.100μL−1 mL-101 CFU/mLC. albicans[44]
QIAamp DNA mini kit *Qiagen2 µL-< 10 ng/μLCandida spp.:
C. albicans
C. glabrata
C. parapsilosis
C. tropicalis
C. famata
C. krusei
C. dubliniensis
C. haemulonii
[41]
QIAamp DNA mini kit *Qiagen2 µLSDS
β-mercaptoethanol
20 ng/μL[41]
QIAamp DNA mini kit *Qiagen2 µLglass beads198 ± 18.9 ng/μL[41]
Chelex-100/boilingNot commercial200 μL-104 CFU/mLC. albicans[45]
In-house protocol *Not commercial50–100 µLguanidinium thiocyanate acid
PK
260 CFU/mL (whole blood)
200 CFU/mL
(serum)
C. albicans[46]
QIAamp DNA Blood Mini *Qiagen1 mLPolaris (Biocartis) enrichement
LB
1 CFU/mL
Ct < 35
C. albicans[47]
QIAamp DNA Blood Mini *Qiagen5 mLPolaris (Biocartis) enrichement
LB
1 CFU/mL
Ct < 35
C. albicans[47]
In-house protocol **-3 mLTTE
SDS
potasium acetate
centrifugation
cold ethanol
1–10 CFU/mLC. albicans[48]
GeneReleaser **Eurogentec3 mLLB
SDS
TTE
β-mercaptoethanol
1–10
CFU/mL
C. albicans[48]
QIAamp Tissue **Qiagen3 mLLB
SDS
TTE
β-mercaptoethanol
10 CFU/mLC. albicans[48]
PureGene D 6000 **Gentra3 mLLB
SDS
TTE
β-mercaptoethanol
102
CFU/mL
C. albicans[48]
DNAzol **Sigma3 mLLB
SDS
TTE
β-mercaptoethanol
103 CFU/mLC. albicans[48]
PKPCNot commercial400 μLPK
PC
TTE
103 CFU/mLCandida spp.[49]
HLGTNot commercial400 μLguanidine thiocyanate acid
heat lysis
10 CFU/mLCandida spp.[49]
QIAamp DNA Blood *Qiagen400 μL-10
CFU/mL
Candida spp.[49]
High Pure PCR Template Preparation *Roche Inc.400 μL-102
CFU/mL
Candida spp.[49]
DNAzol *Sigma400 μL-104
CFU/mL
Candida spp.[49]
QIAamp DNA mini kit *Qiagen1 mLLyT96 ± 21C. albicans[31]
QIAamp DNA mini kit *Qiagen1 mLglass beads89 ± 44C. albicans[31]
MasterPure yeast DNA purification kit *Epicentre1 mLTTE215 ± 109C. albicans[31]
BAGH *Not commercial1 mLbenzyl alcohol
guanidine hydrochloride
TTE
33 ± 42C. albicans[31]
Dr GenTle (gene trapping by liquid extraction) *Takara Bio1 mLTTE36 ± 18C. albicans[31]
yeast DNA extraction reagent (Y-DER) *Pierce Biotechnology1 mLTTE23 ± 10C. albicans[31]
YeaStar genomic DNA kit *Zymo Research1 mLTTE11 ± 4C. albicans[31]
TTE = Triton-Tris-EDTA (20 mM Tris-HCl [pH 8.3], 1 mM EDTA, and 1% Triton), PK = proteinase K, LyS = lysozyme, LyT = lyticase, CB = ceramic beads, LB = lysis buffer, N2= liquid nitrogen maceration. * the study involved blood samples from healthy patients spiked with fungal cells, ** samples from neutropenic patients suspected or diagnosed with systemic candidiasis.
Table 3. Proposed methods for mechanical extraction [32,38,40,51].
Table 3. Proposed methods for mechanical extraction [32,38,40,51].
MethodsAdvantagesLimitations
Bead Beating
significantly increases the extracted fungal DNA
single use beads could prove to be expensive
Ultrasonication
transfers more energy
does not manage to lyse the cell wall in laboratory conditions
Steel Bullet Beating
the bullets can be sterilized
the method proves to be more efficient than the bead beating
risk of contamination
High-Speed Cell Disruption
the method proves to be as efficient as PC extraction
cost and time-efficient
shearing DNA
Table 4. Steel-bullet protocols adapted from Motamedi et al. [40].
Table 4. Steel-bullet protocols adapted from Motamedi et al. [40].
Method no.Extraction MethodPurification MethodExtraction Time (min)Detection Limit
Extracted DNA (ng/μL)
1Steel bullet + lysis bufferphenol-chloroform5244 ± 31.27
2Freezing + Steel bullet + lysis bufferphenol-chloroform60366 ± 49.69
3Steel bullet + lysis buffercommercial kit (Yekta Tajhiz Azma, Iran)5169.2 ± 27.94
ControlBead beating + lysis bufferphenol-chloroform5117 ± 32.48
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Codreanu, S.I.; Ciurea, C.N. Candida spp. DNA Extraction in the Age of Molecular Diagnosis. Microorganisms 2023, 11, 818. https://doi.org/10.3390/microorganisms11040818

AMA Style

Codreanu SI, Ciurea CN. Candida spp. DNA Extraction in the Age of Molecular Diagnosis. Microorganisms. 2023; 11(4):818. https://doi.org/10.3390/microorganisms11040818

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Codreanu, Smaranda Ioana, and Cristina Nicoleta Ciurea. 2023. "Candida spp. DNA Extraction in the Age of Molecular Diagnosis" Microorganisms 11, no. 4: 818. https://doi.org/10.3390/microorganisms11040818

APA Style

Codreanu, S. I., & Ciurea, C. N. (2023). Candida spp. DNA Extraction in the Age of Molecular Diagnosis. Microorganisms, 11(4), 818. https://doi.org/10.3390/microorganisms11040818

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