Next Article in Journal
Towards an Early Clinical and Biological Resistance Detection in Dermatophytosis: About 2 Cases of Trichophyton indotineae
Next Article in Special Issue
Fungal Infections and Colonization after Bilateral Lung Transplant: A Six-Year Single-Center Experience
Previous Article in Journal
Epidemiology of Coccidioidomycosis in the Veterans Health Administration, 2013–2022
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Communication

The Gastrointestinal Tract Is Pinpointed as a Reservoir of Candida albicans, Candida parapsilosis, and Candida tropicalis Genotypes Found in Blood and Intra-Abdominal Samples

by
Aina Mesquida
1,2,
Marina Machado
1,2,
Lorena Dávila-Cherres
1,2,
Teresa Vicente
1,2,
Carlos Sánchez-Carrillo
1,2,3,†,
Luis Alcalá
1,2,3,
Elena Reigadas
1,2,3,4,
Patricia Muñoz
1,2,3,4,
Jesús Guinea
1,2,3,*,‡ and
Pilar Escribano
1,2,5,*,‡
1
Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, C/Dr. Esquerdo, 46, 28007 Madrid, Spain
2
Instituto de Investigación Sanitaria Gregorio Marañón, 28007 Madrid, Spain
3
CIBER Enfermedades Respiratorias-CIBERES (CB06/06/0058), 28029 Madrid, Spain
4
Department of Medicine, School of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain
5
School of Health Sciences-HM Hospitals, Camilo José Cela University, 28692 Madrid, Spain
*
Authors to whom correspondence should be addressed.
In memoriam.
These authors contributed equally to this work.
J. Fungi 2023, 9(7), 732; https://doi.org/10.3390/jof9070732
Submission received: 18 April 2023 / Revised: 26 June 2023 / Accepted: 4 July 2023 / Published: 6 July 2023
(This article belongs to the Special Issue Fungal Diseases in Europe, 2nd Edition)

Abstract

:
Background: Candida spp., as part of the microbiota, can colonise the gastrointestinal tract. We hypothesised that genotyping Candida spp. isolates from the gastrointestinal tract could help spot genotypes able to cause invasive infections. Materials/methods: A total of 816 isolates of C. albicans (n = 595), C. parapsilosis (n = 118), and C. tropicalis (n = 103) from rectal swabs (n = 754 patients) were studied. Genotyping was conducted using species-specific microsatellite markers. Rectal swab genotypes were compared with previously studied blood (n = 814) and intra-abdominal (n = 202) genotypes. Results: A total of 36/754 patients had the same Candida spp. isolated from blood cultures, intra-abdominal samples, or both; these patients had candidemia (n = 18), intra-abdominal candidiasis (n = 11), both clinical forms (n = 1), and non-significant isolation (n = 6). Genotypes matching the rectal swab and their blood cultures (84.2%) or their intra-abdominal samples (92.3%) were found in most of the significant patients. We detected 656 genotypes from rectal swabs, 88.4% of which were singletons and 11.6% were clusters. Of these 656 rectal swab genotypes, 94 (14.3%) were also detected in blood cultures and 34 (5.2%) in intra-abdominal samples. Of the rectal swab clusters, 62.7% were previously defined as a widespread genotype. Conclusions: Our study pinpoints the gastrointestinal tract as a potential reservoir of potentially invasive Candida spp. genotypes.

1. Introduction

Candida spp. forms part of the gastrointestinal microbiota, especially dominated by Candida albicans and Candida tropicalis and, to a lesser extent, Candida parapsilosis and Candida glabrata [1,2,3,4].
Candida spp. genotyping may play a key role in revealing the source of invasive infections. We previously proved the catheter to be an exogenous source of infections in patients with catheter-related candidemia [5,6]. Other compartments, such as the vaginal cavity, do not contain genotypes that can be detected in blood cultures [7]. Alternatively, infection could be caused by the translocation of endogenous Candida spp. strains colonising the gastrointestinal tract, although the relationship among Candida spp. gastrointestinal isolates and bloodstream infection is unclear. Genotyping data from Candida spp. isolates from gastrointestinal tract samples are scarce, reported 20 years ago, and generated using low-resolution genotyping techniques [8,9,10,11]. One study has recently tried to trace the gastrointestinal origin of bloodstream infection isolates using a highly discriminative technique. However, the low number of patients for whom paired faecal and blood samples were available only demonstrated the hypothesis in two patients with candidemia caused by C. parapsilosis [12].
We hypothesised that genotyping Candida spp. isolates from the gastrointestinal tract could help spot genotypes able to cause invasive infections. The aim of this study was to tag the gastrointestinal tract as a potential reservoir of C. albicans, C. parapsilosis, and C. tropicalis genotypes that could potentially be present in blood culture and intra-abdominal samples.

2. Materials and Methods

2.1. Isolates Studied

From February 2019 to August 2022, Candida spp. isolates were prospectively collected (n = 816; C. albicans, n = 595; C. parapsilosis, n = 118; and C. tropicalis, n = 103) from rectal swabs of patients (n = 754) admitted to the Gregorio Marañón Hospital, Madrid, Spain; samples were screened for the presence of multi-resistant bacteria (such as carbapenemase- or BLEA-producing Enterobacteriaceae, Pseudomonas aeruginosa, vancomycin-resistant enterococci, and Acinetobacter spp.) and were positive for Candida spp. on ChromAgar® agar plates. Such screening is conducted in patients newly admitted to an intensive care unit (and on a weekly basis thereafter), in patients previously infected/colonised by multi-resistant isolates, or in patients admitted close to or in a room where a colonised/infected patient was previously located. We studied one rectal swab sample per patient and species. Since we proved that gastrointestinal tract Candida spp. colonisation was mostly monoclonal, a single colony per species and sample was subcultured and stored [13].

2.2. Microsatellite Genotyping

Genotyping was conducted directly from cultures avoiding DNA extraction as previously reported [7,14]. Species-specific microsatellite markers were used to genotype isolates of C. albicans (CDC3, EF3, HIS3 CAI, CAIII, and CAVI) [15,16], C. parapsilosis (CP1, CP4a, CP6, and B) [17,18], and C. tropicalis (Ctrm1, Ctrm10, Ctrm12, Ctrm21, Ctrm24, and Ctrm28) [19]. The isolates were considered to have identical genotypes when they presented the same alleles at all markers studied. We adopted some definitions from previous studies. Briefly, singleton was defined as a genotype found in a single given patient; cluster as an identical genotype found in samples from ≥2 given patients; and patients involved in each cluster were considered epidemiologically linked if they were admitted to the same ward within a period of 12 months. Finally, a match was an identical or clonally related (a difference at only one microsatellite locus) genotype found in different samples from a given patient [7,14].

2.3. Data Analysis and Population Structure

Genotypes found in rectal swabs were compared with those retrieved from our database and previously detected in blood cultures (814 isolates/650 genotypes) and intra-abdominal samples (201 isolates/179 genotypes) from patients admitted to our hospital from 2007 to 2022. Matches and clusters were classified according to their isolate source: exclusively from rectal swabs, intra-abdominal samples, blood cultures, or a combination of these (rectal–abdominal, rectal–blood, rectal–abdominal–blood). We assessed how many clusters were widespread genotypes (clusters involving patients admitted to different hospitals) coming from previous studies [14,20,21]. The percentage of clusters and proportion of patients involved in clusters were compared using a standard binomial method (95% confidence intervals) (Epidat 3.1 software, Servicio de Información sobre Saúde Pública de la Dirección Xeral de Saúde Pública de la Consellería de Sanidade, Xunta de Galicia, Spain).
Population structure was analysed using Structure software version 2.3.4 [22]. Independent runs were performed by using K (number of populations) from one to ten populations, a burn-in of 10,000 Markov chain Monte Carlo (MCMC) iterations, and a data collection period of 100,000 MCMC iterations. Each simulation of K was replicated 10 times. To estimate the most likely K, we used Structure Harvester [23]. Structure composition estimates the log probability of the data for each value of K. Finally, population differentiation was studied via analysis of Molecular Variance (AMOVA) using GenAlex v 6.51 software [24].

2.4. Clinical Data

Demographic and clinical data of patients who had the same Candida spp. isolated from rectal swabs and blood cultures and/or intra-abdominal samples were collected from clinical records and included clinical significance of the isolation, risk factors for developing invasive candidiasis, prior antifungal use at the time or within three months before the isolation, clinical infection form, and outcome.

3. Results

3.1. Intra-Patient Analysis of Genotypes Found among Rectal Swabs, Blood Cultures, and Intra-Abdominal Samples

A total of 36/754 patients also had the same Candida spp. isolated from blood cultures (n = 17), intra-abdominal samples (n = 17), or both (n = 2) within the same period of time. The patients had candidemia (n = 18), intra-abdominal candidiasis (n = 11), both clinical forms (n = 1), and non-significant isolation (n = 6). The patients with invasive candidiasis (n = 30) are described in Table 1 and Table S1.
Of the 30 patients with Candida spp. in rectal swabs and isolates from blood (n = 19) and/or intra-abdominal samples (n = 13), 16/19 (84.2%) and 12/13 (92.3%) patients had genotypes matching the rectal swab and their blood cultures or their intra-abdominal samples, respectively. Matches were distributed among identical genotypes in 20 patients or clonally related genotypes in 8 patients; the latter were frequently rectal–abdominal matches (Table 2). With the exception of two patients who had candidemia caused by C. tropicalis, clonally related genotypes were found in patients with intra-abdominal candidiasis.
C. albicans was the species contributing the highest number of isolates, thus resulting in the highest number of matches, and the proportions of rectal–blood matches and rectal–abdominal matches were similar. We had isolates available from the three sample types in two patients; a genotype matching the three sample types was found in one of them (patient P02), whereas in the remaining patient (patient P01) we found two different genotypes; one genotype matched the rectal swab and the intra-abdominal sample, and an unrelated genotype was found in the blood culture that was identical to a successive rectal swab genotype (Figure 1 and Table S1).
The remaining patients presented unrelated genotypes from rectal swabs and other sample types (n = 4) (Table 2 and Table S1). For more details about the patients with non-significant isolation (n = 6), see Table S1.
In these patients with the same Candida spp. isolated from blood cultures, intra-abdominal samples, or both, whose isolations were considered as clinically significant, all available additional rectal swabs were studied. We had 19 multiple rectal swab isolates (1–7 additional isolates per patient) from 10/30 patients, distributed as C. albicans (n = 1 patient with isolates from the three sample types; n = 2 patients with isolates from rectal swabs and blood cultures; n = 4 patients with isolates from rectal swabs and intra-abdominal samples), C. tropicalis (n = 2 patients with isolates from rectal swabs and blood cultures), and C. parapsilosis (a patient with isolates from rectal swabs and blood cultures) (Figure 1). In 7/10 patients, genotypes matched the rectal swab samples collected at different time points; the remaining 2/10 patients presented two unrelated genotypes (patients P01 and P30) or three unrelated genotypes (patient P27) (Figure 1).

3.2. Rectal Swab Genotypes

Overall, we found 656 genotypes from rectal swabs (C. albicans [n = 466], C. parapsilosis [n = 103], and C. tropicalis [n = 87]); 88.4% of these were singletons and 11.6% were clusters (Table S2). Differences in the proportions of clusters among species (C. albicans, 12.2%; C. parapsilosis, 11.7%; and C. tropicalis, 8.1%) did not reach statistical significance (p > 0.05). A total of 236 patients (31.3%) were involved in clusters (2 to 18 patients per cluster), with C. albicans being the species involved in the highest number of patients. However, differences among species did not reach statistical significance (p = 0.069; Table 3). Of the 236 patients involved in clusters, 30 (12.7%) patients involved in 10 clusters (2–5 patients per cluster) were epidemiologically linked and admitted to intensive care (n = 12/30), internal medicine (n = 6/30), and other wards (n = 12/30).

3.3. Interpatient Analysis of Genotypes Found in Rectal Swabs, Blood Cultures, and Intra-Abdominal Samples. Population Structure

Genotypes found in rectal swabs (n = 656) were compared with those retrieved from our database and sourced from blood cultures (n = 650) or intra-abdominal samples (n = 179) (Table S2). The distribution of genotypes among species and sample types are shown in Table 4. Whereas we did not find differences reaching statistical significance in the proportion of clusters/patients involving exclusively either rectal swabs (11.6%/31.3%) or blood cultures (11.2%/29.6%), these proportions were significantly lower than in intra-abdominal samples clusters (6.2%/17.5%; p < 0.05), and never involved C. parapsilosis (Table 3 and Table 4).
Of all the genotypes found in rectal swabs, 102 were clusters distributed between rectal–blood clusters (n = 68; 10.4%), rectal–abdominal clusters (n = 8; 1.2%), and rectal–abdominal–blood clusters (n = 26; 4%); therefore, 94 (14.3%) and 34 (5.2%) rectal swab genotypes were also detected either in blood cultures or intra-abdominal samples, respectively (Table 5). Differences among species did not reach statistical significance.
We found 58/102 (56.8%) rectal swab genotypes also found in blood cultures and/or intra-abdominal samples that were widespread genotypes distributed as rectal–blood clusters (n = 28; 43.8%), rectal–abdominal (n = 6; 9.4%), and rectal–abdominal–blood clusters (n = 24; 37.5%) (Figure 2). Interestingly, the higher the probability of a cluster involving both rectal swabs and blood cultures, the higher the odds the cluster was widespread; this observation was similar among species (p > 0.05).
Per species population structure differed and was supported by the different K-value detected in each species (C. albicans [K = 4]; C. parapsilosis [K = 5], and C. tropicalis [K = 2]). No population structure was detected and AMOVA analysis showed no molecular variation between any type of sample and supporting the lack of population structure.

4. Discussion

Our study pinpoints the gastrointestinal tract as a potential reservoir of Candida spp. potentially causing candidaemia. It is supported by the set of patients who had isolations from rectal swabs and candidemia and/or intra-abdominal candidiasis in whom genotypes from rectal swabs matched the ones found in profound samples. Moreover, in the multiple rectal swabs available from these patients, a given genotype could be detected in samples taken at different time points and matched the blood culture and/or intra-abdominal sample isolates. Furthermore, 14% of genotypes found in rectal swab samples could also be detected in blood cultures. A notable proportion of genotypes (11.6%) were found in rectal swabs from different patients (clusters), with this proportion being similar to that found for genotypes from blood cultures. Moreover, the higher the probability of a cluster involving rectal swabs and blood cultures, the higher the odds the cluster was widespread.
Ours is the first study to assess Candida spp. genotypes detected in a large number of isolates (and patients) from rectal swab samples. We assumed that genotypes found in the rectum should be those able to translocate to precedent sections of the small or large intestine. In fact, we found identical genotypes in the rectum and causing infections in the 84.5% and 92.3% of patients with candidemia and/or intra-abdominal candidiasis, respectively. In the remaining patients (patients P09, P25, and P28), the genotype found in rectal swabs was different from that causing invasive infection; however, in these patients only one rectal isolate was available. The presence of polyclonality in the rectum in these patients cannot be ruled out [13], and additional rectal swab isolates could be matched with the invasive genotype as we observed in patient P1.
In agreement with our prior studies, we found that the percentage of clusters in rectal swabs (11.6%) was similar to that of blood cultures [14,25,26]. Interestingly, 14% of genotypes from rectal swab samples could also be detected in blood cultures. However, this proportion reached 92% when those genotypes were clusters. Nevertheless, the proportion of clusters was significantly lower in intra-abdominal isolates (6%) and was never involved C. parapsilosis; in fact, only one-third of rectal swab clusters could also be detected in intra-abdominal samples. That could be a consequence of the lower number of isolates available from that anatomical cavity, or the lower predisposition of intestinal Candida genotypes to cause intra-abdominal infections.
The presence of clusters involving epidemiologically unrelated patients is not new, as we previously reported, and is sometimes as widespread as genotypes grouping patients from different cities or countries [14,21]. We found some rectal swab clusters (66%) were widespread and involved patients in the absence of epidemiological links; the interpretation of widespread genotypes is tricky and might suggest that certain clones are spread worldwide and could be found colonising a large number of healthy subjects [14,20,21]. One of the main observations across species here reported is that the higher the probability of a cluster involving rectal swabs and blood cultures, the higher the odds the cluster is widespread. Therefore, the presence of identical genotypes in rectal swabs and blood cultures from different patients might pinpoint some saprophytic genotypes with the ability to cause invasive disease. We think that rectal swab clusters are genotypes with the ability to cause candidaemia, therefore supporting the hypothesis that the gut might be the reservoir of these genotypes. Such a conclusion was reinforced by the finding that there was no population structure or molecular variation between different anatomical sites. In fact, C. albicans genotypes from vaginal samples and blood cultures presented genotypically different populations, suggesting that isolates from vaginal samples are not prone to cause bloodstream infections [7].
Different scores showed that prior colonisation is a major risk factor for acquiring invasive candidiasis [27], and some studies reported that identical or clonally related genotypes can be found simultaneously colonising patients and causing candidaemia [10,28]. Previous studies in which isolates from rectal swabs and blood cultures were genotyped are somewhat dated and were conducted using a limited number of isolates [8,9,10]. Our study was not tailored to study Candida genotypes colonising patients and able to cause candidemia as well; however, we took advantage of some patients from whom we had multiple swab and blood culture/intra-abdominal samples available. In most patients, the genotype found in rectal swabs was also detected in blood cultures and/or intra-abdominal samples. Such observations agree with the interpatient analysis and we highlight the gut as a reservoir of genotypes able to reach the bloodstream.
Despite the fact that we performed genotyping with microsatellite markers, a highly discriminative tool, we cannot rule out higher discrimination if whole-genome sequencing had been carried out. However, studies comparing microsatellite genotyping and whole-genome sequencing in Candida spp. showed than the genotyping data were mostly correlated [29,30,31].
Our study is subject to some limitations. C. albicans outnumbered the other species; thus, the observations reported herein are skewed by the large number of isolates from this species. However, it is not surprising considering that C. albicans is responsible for no less than 50% of candidaemia cases and is also the dominant Candida spp. in the gut microbiome [1,32]. The number of isolates from intra-abdominal samples was much lower than those from rectal swabs and blood cultures; this might explain why we found a lower proportion of clusters involving intra-abdominal samples and rectal swabs; future studies including larger numbers of isolates from that cavity are warranted. Finally, genotypes in 18 patients with paired rectal swabs, and/or blood cultures, or intra-abdominal samples genotypes were first detected in blood cultures/intra-abdominal samples. Given that our study was not addressed to detect rectal swab genotypes from the very moment of a patient’s hospital admission, we cannot rule in/out that the rectal swab genotypes might not have been detected prior to the development of the infection. However, in patients with multiple rectal swab genotypes over time, the genotypes found were always identical.

5. Conclusions

In conclusion, our study pinpoints the gastrointestinal tract as a potential reservoir of Candida spp. able to cause candidaemia. Genotypes found in rectal swabs are commonly found in different patients. Finally, when rectal swab clusters also involved blood cultures, the cluster tended to be widespread.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jof9070732/s1, Table S1: clinical data of the patients; Table S2: microsatellite data.

Author Contributions

Conceptualisation, J.G. and P.E.; methodology, J.G. and P.E.; software, A.M.; validation, J.G. and P.E.; formal analysis, A.M., M.M. and L.D.-C.; investigation, A.M., J.G. and P.E.; resources, J.G. and P.E.; data curation, A.M., L.A., T.V., E.R., C.S.-C. and P.M.; writing—original draft preparation, A.M.; writing—review and editing, J.G. and P.E.; visualisation, J.G. and P.E.; supervision, J.G. and P.E.; project administration, J.G. and P.E.; funding acquisition, J.G. and P.E. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by grants PI18/01155 and PI19/00074 from the Fondo de Investigación Sanitaria (FIS. Instituto de Salud Carlos III; Plan Nacional de I+D+I 2017–2020). The study was co-funded by the European Regional Development Fund (FEDER) ‘A way of making Europe’. PE (CPII20/00015) is a recipient of a Miguel Servet contract supported by FIS. J.G. is a permanent researcher employed by the Fundación para Investigación Sanitaria del Hospital Gregorio Marañón. AM (FI20/00089) holds an FIS predoctoral grant.

Institutional Review Board Statement

Given the in vitro nature of this study, approval from the Ethics Committee was not required.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We are grateful to Helena Kruyer for editing assistance.

Conflicts of Interest

J.G. has received funds for participating in educational activities organised on behalf of Gilead, Pfizer, MSD, and Mundipharma; he also received research funds from FIS, Gilead, Scynexis, F2G, Mundipharma, and Cidara outside the submitted work.

References

  1. Hallen-Adams, H.E.; Suhr, M.J. Fungi in the healthy human gastrointestinal tract. Virulence 2017, 8, 352–358. [Google Scholar] [CrossRef] [PubMed]
  2. Li, J.; Chen, D.; Yu, B.; He, J.; Zheng, P.; Mao, X.; Yu, J.; Luo, J.; Tian, G.; Huang, Z.; et al. Fungi in Gastrointestinal Tracts of Human and Mice: From Community to Functions. Microb. Ecol. 2018, 75, 821–829. [Google Scholar] [CrossRef] [PubMed]
  3. Nash, A.K.; Auchtung, T.A.; Wong, M.C.; Smith, D.P.; Gesell, J.R.; Ross, M.C.; Stewart, C.J.; Metcalf, G.A.; Muzny, D.M.; Gibbs, R.A.; et al. The gut mycobiome of the Human Microbiome Project healthy cohort. Microbiome 2017, 5, 153. [Google Scholar] [CrossRef] [PubMed]
  4. Suhr, M.J.; Hallen-Adams, H.E. The human gut mycobiome: Pitfalls and potentials—A mycologist’s perspective. Mycologia 2015, 107, 1057–1073. [Google Scholar] [CrossRef] [Green Version]
  5. Escribano, P.; Guinea, J.; Marcos-Zambrano, L.J.; Martín-Rabadán, P.; Fernández-Cruz, A.; Sánchez-Carrillo, C.; Bouza, E. Is catheter-related candidemia a polyclonal infection? Sabouraudia Med. Mycol. 2014, 52, 411–416. [Google Scholar] [CrossRef]
  6. Escribano, P.; Guinea, J.; Marcos-Zambrano, L.; Recio, S.; Peláez, T.; Rodríguez-Créixems, M.; Bouza, E. Does identification to species level provide sufficient evidence to confirm catheter-related fungemia caused by Candida albicans? Med. Mycol. 2013, 51, 769–773. [Google Scholar] [CrossRef] [Green Version]
  7. Mesquida, A.; Vicente, T.; Reigadas, E.; Palomo, M.; Sánchez-Carrillo, C.; Muñoz, P.; Guinea, J.; Escribano, P. In vitro activity of ibrexafungerp and comparators against Candida albicans genotypes from vaginal samples and blood cultures. Clin. Microbiol. Infect. 2021, 27, 915.e5–915.e8. [Google Scholar] [CrossRef]
  8. Reagan, D.R.; Pfaller, M.A.; Hollis, R.J.; Wenzel, R.P. Characterization of the sequence of colonization and nosocomial candidemia using DNA fingerprinting and a DNA probe. J. Clin. Microbiol. 1990, 28, 2733–2738. [Google Scholar] [CrossRef] [Green Version]
  9. Nucci, M.; Anaissie, E. Revisiting the source of candidemia: Skin or gut? Clin. Infect. Dis. 2001, 33, 1959–1967. [Google Scholar] [CrossRef]
  10. Miranda, L.; van der Heijden, I.; Costa, S.; Sousa, A.; Sienra, R.; Gobara, S.; Santos, C.; Lobo, R.; Pessoa, V.; Levin, A. Candida colonisation as a source for candidaemia. J. Hosp. Infect. 2009, 72, 9–16. [Google Scholar] [CrossRef]
  11. Lau, A.F.; Kabir, M.; Chen, S.C.-A.; Playford, E.G.; Marriott, D.J.; Jones, M.; Lipman, J.; McBryde, E.; Gottlieb, T.; Cheung, W.; et al. Candida Colonization as a Risk Marker for Invasive Candidiasis in Mixed Medical-Surgical Intensive Care Units: Development and Evaluation of a Simple, Standard Protocol. J. Clin. Microbiol. 2015, 53, 1324–1330. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Zhai, B.; Ola, M.; Rolling, T.; Tosini, N.L.; Joshowitz, S.; Littmann, E.R.; Amoretti, L.A.; Fontana, E.; Wright, R.J.; Miranda, E.; et al. High-resolution mycobiota analysis reveals dynamic intestinal translocation preceding invasive candidiasis. Nat. Med. 2020, 26, 59–64. [Google Scholar] [CrossRef] [PubMed]
  13. Mesquida, A.; Álvarez-Uría, A.; Vicente, T.; Muñoz, P.; Guinea, J.; Escribano, P. Gastrointestinal tract Candida spp. colonization shows mostly a monoclonal pattern: An intra-patient pilot study. Med. Mycol. 2022, 60, myac040. [Google Scholar] [CrossRef] [PubMed]
  14. Guinea, J.; Arendrup, M.C.; Cantón, R.; Cantón, E.; García-Rodríguez, J.; Gómez, A.; Gómez-García-de la Pedrosa, E.; Hare, R.K.; Orden, B.; Sanguinetti, M.; et al. Genotyping Reveals High Clonal Diversity and Widespread Genotypes of Candida Causing Candidemia at Distant Geographical Areas. Front. Cell. Infect. Microbiol. 2020, 10, 166. [Google Scholar] [CrossRef]
  15. Botterel, F.; Desterke, C.; Costa, C.; Bretagne, S. Analysis of Microsatellite Markers of Candida albicans Used for Rapid Typing. J. Clin. Microbiol. 2001, 39, 4076–4081. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Sampaio, P.; Gusmão, L.; Correia, A.; Alves, C.; Rodrigues, A.G.; Pina-Vaz, C.; Amorim, A.; Pais, C. New Microsatellite Multiplex PCR for Candida albicans Strain Typing Reveals Microevolutionary Changes. J. Clin. Microbiol. 2005, 43, 3869–3876. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Sabino, R.; Sampaio, P.; Rosado, L.; Stevens, D.A.; Clemons, K.V.; Pais, C. New Polymorphic Microsatellite Markers Able to Distinguish among Candida parapsilosis Sensu Stricto Isolates. J. Clin. Microbiol. 2010, 48, 1677–1682. [Google Scholar] [CrossRef] [Green Version]
  18. Vaz, C.; Sampaio, P.; Clemons, K.V.; Huang, Y.-C.; Stevens, D.A.; Pais, C. Microsatellite multilocus genotyping clarifies the relationship of Candida parapsilosis strains involved in a neonatal intensive care unit outbreak. Diagn. Microbiol. Infect. Dis. 2011, 71, 159–162. [Google Scholar] [CrossRef]
  19. Wu, Y.; Zhou, H.-J.; Che, J.; Li, W.-G.; Bian, F.-N.; Yu, S.-B.; Zhang, L.-J.; Lu, J. Multilocus microsatellite markers for molecular typing of Candida tropicalis isolates. BMC Microbiol. 2014, 14, 245. [Google Scholar] [CrossRef] [Green Version]
  20. Marcos-Zambrano, L.; Escribano, P.; Sanguinetti, M.; de la Pedrosa, E.G.G.; De Carolis, E.; Vella, A.; Cantón, R.; Bouza, E.; Guinea, J. Clusters of patients with candidaemia due to genotypes of Candida albicans and Candida parapsilosis: Differences in frequency between hospitals. Clin. Microbiol. Infect. 2015, 21, 677–683. [Google Scholar] [CrossRef] [Green Version]
  21. Díaz-García, J.; Gómez, A.; Machado, M.; Alcalá, L.; Reigadas, E.; Sánchez-Carrillo, C.; Pérez-Ayala, A.; de la Pedrosa, E.G.-G.; González-Romo, F.; Cuétara, M.S.; et al. Candida Genotyping of Blood Culture Isolates from Patients Admitted to 16 Hospitals in Madrid: Genotype Spreading during the COVID-19 Pandemic Driven by Fluconazole-Resistant C. parapsilosis. J. Fungi 2022, 8, 1228. [Google Scholar] [CrossRef] [PubMed]
  22. Pritchard, J.K.; Stephens, M.; Donnelly, P. Inference of population structure using multilocus genotype data. Genetics 2000, 155, 945–959. [Google Scholar] [CrossRef]
  23. Earl, D.A.; vonHoldt, B.M. STRUCTURE HARVESTER: A website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv. Genet. Resour. 2012, 4, 359–361. [Google Scholar] [CrossRef]
  24. Peakall, R.; Smouse, P.E. GenAlEx 6.5: Genetic analysis in Excel. Population genetic software for teaching and research—An update. Bioinformatics 2012, 28, 2537–2539. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Escribano, P.; Rodríguez-Créixems, M.; Sánchez-Carrillo, C.; Muñoz, P.; Bouza, E.; Guinea, J. Endemic Genotypes of Candida albicans Causing Fungemia Are Frequent in the Hospital. J. Clin. Microbiol. 2013, 51, 2118–2123. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Escribano, P.; Sánchez-Carrillo, C.; Muñoz, P.; Bouza, E.; Guinea, J. Reduction in Percentage of Clusters of Candida albicans and Candida parapsilosis Causing Candidemia in a General Hospital in Madrid, Spain. J. Clin. Microbiol. 2018, 56, e00574-18. [Google Scholar] [CrossRef] [Green Version]
  27. León, C.; Ostrosky-Zeichner, L.; Schuster, M. What’s new in the clinical and diagnostic management of invasive candidiasis in critically ill patients. Intensive Care Med. 2014, 40, 808–819. [Google Scholar] [CrossRef]
  28. Li, Z.; Jiang, C.; Dong, D.; Zhang, L.; Tian, Y.; Ni, Q.; Mao, E.; Peng, Y. The Correlation between Candida Colonization of Distinct Body Sites and Invasive Candidiasis in Emergency Intensive Care Units: Statistical and Molecular Biological Analysis. Mycopathologia 2016, 181, 475–484. [Google Scholar] [CrossRef]
  29. Guinea, J.; Mezquita, S.; Gómez, A.; Padilla, B.; Zamora, E.; Sánchez-Luna, M.; Sánchez-Carrillo, C.; Muñoz, P.; Escribano, P. Whole genome sequencing confirms Candida albicans and Candida parapsilosis microsatellite sporadic and persistent clones causing outbreaks of candidemia in neonates. Med. Mycol. 2022, 60, myab068. [Google Scholar] [CrossRef]
  30. Spruijtenburg, B.; van Haren, M.H.I.; Chowdhary, A.; Meis, J.F.; de Groot, T. Development and Application of a Short Tandem Repeat Multiplex Typing Assay for Candida tropicalis. Microbiol. Spectr. 2023, 11, e0461822. [Google Scholar] [CrossRef]
  31. de Groot, T.; Spruijtenburg, B.; Parnell, L.A.; Chow, N.A.; Meis, J.F. Optimization and Validation of Candida auris Short Tandem Repeat Analysis. Microbiol. Spectr. 2022, 10, e0264522. [Google Scholar] [CrossRef] [PubMed]
  32. Guinea, J. Global trends in the distribution of Candida species causing candidemia. Clin. Microbiol. Infect. 2014, 20 (Suppl. S6), 5–10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Timeline showing rectal swab genotypes from the 10 patients with multiple rectal swab, blood culture, and/or intra-abdominal isolates available. CA, C. albicans; CP, C. parapsilosis; CT, C. tropicalis. Symbol colours indicate the isolate’s clinical source (rectal swabs are depicted in yellow; blood cultures are depicted in red; intra-abdominal samples are depicted in blue). In a given patient, an identical symbol shape indicates matches (identical genotype) and solid-bold edges depict clonally related genotypes. The number within the symbols indicates the day of sample collection. Grey-coloured cells indicate the latency period (time spanning two points in which isolates were detected).
Figure 1. Timeline showing rectal swab genotypes from the 10 patients with multiple rectal swab, blood culture, and/or intra-abdominal isolates available. CA, C. albicans; CP, C. parapsilosis; CT, C. tropicalis. Symbol colours indicate the isolate’s clinical source (rectal swabs are depicted in yellow; blood cultures are depicted in red; intra-abdominal samples are depicted in blue). In a given patient, an identical symbol shape indicates matches (identical genotype) and solid-bold edges depict clonally related genotypes. The number within the symbols indicates the day of sample collection. Grey-coloured cells indicate the latency period (time spanning two points in which isolates were detected).
Jof 09 00732 g001
Figure 2. Venn diagram showing the interpatient analysis alongside widespread clusters involving rectal swabs, and/or blood culture, and/or intra-abdominal samples, broken down by species. Circle colours indicate the isolate’s clinical source (rectal swabs are depicted in yellow; blood cultures are depicted in red; intra-abdominal samples are depicted in blue). Numbers in the largest font indicate widespread clusters; numbers in the smallest font indicate total clusters found. Percentages indicate proportions of widespread clusters.
Figure 2. Venn diagram showing the interpatient analysis alongside widespread clusters involving rectal swabs, and/or blood culture, and/or intra-abdominal samples, broken down by species. Circle colours indicate the isolate’s clinical source (rectal swabs are depicted in yellow; blood cultures are depicted in red; intra-abdominal samples are depicted in blue). Numbers in the largest font indicate widespread clusters; numbers in the smallest font indicate total clusters found. Percentages indicate proportions of widespread clusters.
Jof 09 00732 g002
Table 1. Description of the 30 patients with the same Candida spp. isolated from blood cultures, intra-abdominal samples, or both, whose isolations were considered as clinically significant.
Table 1. Description of the 30 patients with the same Candida spp. isolated from blood cultures, intra-abdominal samples, or both, whose isolations were considered as clinically significant.
No. (%)
Sex (male)22 (73.3%)
Age (mean, IQR)66.6 (75–59)
Antibiotic use27 (90%)
Catheter use23 (76.6%)
Total parenteral nutrition22 (73.3%)
Prior Candida colonisation14 (46.6%)
Prior corticosteroid use16 (53.3%)
Prior surgery13 (43.3%)
Prior CMV infection4 (13.3%)
ICU admission17 (56.6%)
Haemodialysis2 (6.6%)
Chemotherapy2 (6.6%)
Prior antifungal use
  Azoles7 (23.3%)
  Echinocandins3 (10%)
  Both2 (6.6%)
Species distribution
  C. albicans19 (63.3%)
  C. parapsilosis5 (16.6%)
  C. tropicalis6 (20%)
Source of the infection
  Primary2 (6.6%)
  Catheter-related infection15 (50%)
  Intra-abdominal infection12 (40%)
  Other1 (3.3%)
Outcome (poor)12 (40%)
Table 2. Intra-patient analysis of the 30 patients with rectal swab isolates and additional isolates from blood and/or intra-abdominal samples who had invasive infections: analysis of matches (identical or clonally related genotypes) and unrelated genotypes.
Table 2. Intra-patient analysis of the 30 patients with rectal swab isolates and additional isolates from blood and/or intra-abdominal samples who had invasive infections: analysis of matches (identical or clonally related genotypes) and unrelated genotypes.
Isolate SourceC. albicans (No. Patients) *C. parapsilosis (No. Patients)C. tropicalis (No. Patients)Overall (No. Patients) *
IdenticalClonally RelatedUnrelatedIdenticalClonally RelatedUnrelatedIdenticalClonally RelatedUnrelatedIdenticalClonally RelatedUnrelated
Rectal swab + Blood culture10022012201423
Rectal swab + Intra-abdominal sample540011110661
* Two patients had C. albicans isolates from the three sample types.
Table 3. Rectal swab isolates and genotyping.
Table 3. Rectal swab isolates and genotyping.
C. albicansC. parapsilosisC. tropicalisOverall
Number of isolates/patients595118103816/754
Number of genotypes46610387656
Number of singletons4099180580
Number of clusters (%)57 (12.2%)12 (11.7%)7 (8.1%)76 (11.6%)
% (range) of patients involved in clusters31.3% (2–18)22.9% (2–4)22.3% (2–7)31.3% (2–18)
Table 4. Blood culture and intra-abdominal sample isolates and genotyping.
Table 4. Blood culture and intra-abdominal sample isolates and genotyping.
C. albicansC. parapsilosisC. tropicalisOverall
Blood
Culture
Intra-Abdominal
Samples
Blood
Culture
Intra-Abdominal
Samples
Blood
Culture
Intra-Abdominal
Samples
Blood
Culture
Intra-Abdominal
Samples
Number of isolates/patients479158256227921814/800201/189
Number of genotypes398137181227120650179
Number of singletons354127158226519577168
Number of clusters (%)44 (11.1%)10
(7.3%)
23 (12.7%)06
(8.5%)
1
(5%)
73 (11.2%)11
(6.2%)
% (range) of patients
involved in clusters
26.1%
(2–9)
19.6%
(2–8)
38.3%
(2–18)
0%17.7%
(2–3)
9.5%
(2)
29.6%
(2–18)
17.5%
(2–8)
Table 5. Interpatient analysis of genotypes from rectal swabs also found in blood cultures and/or intra-abdominal samples.
Table 5. Interpatient analysis of genotypes from rectal swabs also found in blood cultures and/or intra-abdominal samples.
SpeciesRectal Swab Genotypes (No.)Rectal Swab Genotypes Found in (No. and %)
Blood Cultures *Intra-Abdominal Samples *Blood Culture and Intra-Abdominal SamplesOverall
C. albicans46643 (9.2%)6 (1.3%)15 (3.2%)64 (13.7%)
C. parapsilosis10315 (14.6%)1 (1%)7 (6.8%)23 (22.3%)
C. tropicalis8710 (11.5%)1 (1.1%)4 (4.6%)15 (17.2%)
Overall65668 (10.4%)8 (1.2%)26 (4%)102 (15.5%)
* Genotype(s) found exclusively in blood cultures or intra-abdominal samples.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Mesquida, A.; Machado, M.; Dávila-Cherres, L.; Vicente, T.; Sánchez-Carrillo, C.; Alcalá, L.; Reigadas, E.; Muñoz, P.; Guinea, J.; Escribano, P. The Gastrointestinal Tract Is Pinpointed as a Reservoir of Candida albicans, Candida parapsilosis, and Candida tropicalis Genotypes Found in Blood and Intra-Abdominal Samples. J. Fungi 2023, 9, 732. https://doi.org/10.3390/jof9070732

AMA Style

Mesquida A, Machado M, Dávila-Cherres L, Vicente T, Sánchez-Carrillo C, Alcalá L, Reigadas E, Muñoz P, Guinea J, Escribano P. The Gastrointestinal Tract Is Pinpointed as a Reservoir of Candida albicans, Candida parapsilosis, and Candida tropicalis Genotypes Found in Blood and Intra-Abdominal Samples. Journal of Fungi. 2023; 9(7):732. https://doi.org/10.3390/jof9070732

Chicago/Turabian Style

Mesquida, Aina, Marina Machado, Lorena Dávila-Cherres, Teresa Vicente, Carlos Sánchez-Carrillo, Luis Alcalá, Elena Reigadas, Patricia Muñoz, Jesús Guinea, and Pilar Escribano. 2023. "The Gastrointestinal Tract Is Pinpointed as a Reservoir of Candida albicans, Candida parapsilosis, and Candida tropicalis Genotypes Found in Blood and Intra-Abdominal Samples" Journal of Fungi 9, no. 7: 732. https://doi.org/10.3390/jof9070732

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop