Multilocus enzyme electrophoresis analysis of Candida albicans isolates from three intensive care units. An epidemiological study

Parity among interpretation methods of MLEE patterns and disparity among clustering methods in epidemiological typing of Candida albicans

The typing of C. albicans by MLEE (multilocus enzyme electrophoresis) is dependent on the interpretation of enzyme electrophoretic patterns, and the study of the epidemiological relationships of these yeasts can be conducted by cluster analysis. Therefore, the aims of the present study were to first determine the discriminatory power of genetic interpretation (deduction of the allelic composition of diploid organisms) and numerical interpretation (mere determination of the presence and absence of bands) of MLEE patterns, and then to determine the concordance (Pearson product-moment correlation coefficient) and similarity (Jaccard similarity coefficient) of the groups of strains generated by three cluster analysis models, and the discriminatory power of such models as well [model A: genetic interpretation, genetic distance matrix of Nei (d(ij)) and UPGMA dendrogram; model B: genetic interpretation, Dice similarity matrix (S(D1)) and UPGMA dendrogram; model C: numerical interpretation, Dice similarity matrix (S(D2)) and UPGMA dendrogram]. MLEE was found to be a powerful and reliable tool for the typing of C. albicans due to its high discriminatory power (>0.9). Discriminatory power indicated that numerical interpretation is a method capable of discriminating a greater number of strains (47 versus 43 subtypes), but also pointed to model B as a method capable of providing a greater number of groups, suggesting its use for the typing of C. albicans by MLEE and cluster analysis. Very good agreement was only observed between the elements of the matrices S(D1) and S(D2), but a large majority of the groups generated in the three UPGMA dendrograms showed similarity S(J) between 4.8% and 75%, suggesting disparities in the conclusions obtained by the cluster assays.

In vitro susceptibility of yeasts isolated from patients in intensive care units to fluconazole and amphotericin B during a 3-year period

Fungal infections have increased dramatically in recent years and candidemia is a major risk factor for morbidity and mortality in intensive care units (ICUs). Candidemia has been considered to be a nosocomial infection that is strongly associated with neutropenia, recent surgery or presence of intravascular lines, and previous colonization is an independent risk factor. We evaluated the in vitro efficacy of fluconazole and amphotericin B against yeasts isolated from various clinical specimens of colonized or infected patients treated in the ICUs of the Institute of Cardiology, Istanbul University. A total of 1397 ICU patients were treated at the Institute of Cardiology between January 2000 and December 2002. A total of 117 yeasts isolated from 97 patients were included in this study. These ICU patients were hospitalized for a mean of 29 days. All yeasts were identified by conventional methods and using the API (20C AUX, ID 32C) system (Bio Meriéux, France). Susceptibility to fluconazole and amphotericin B was evaluated using the E-test (AB Biodisk, Solna, Sweden). The most commonly isolated yeast was Candida albicans (72.6%), followed by Candida tropicalis (16.2%), Candida kefyr, Candida krusei, Candida parapsilosis, Trichosporon mucoides and Geotrichum spp. Fluconazole and amphotericin B MIC90 values were 0.75 microg/ml; 0.19 microg/ml and 1 microg/ml; 0.38 microg/ml for C. albicans and C. tropicalis, respectively. All Geotrichum spp. were found to be susceptible-dose dependent (SDD) (MIC=16-32 microg/ml) to fluconazole. Two C. albicans, two C. tropicalis, one C. krusei and one Geotrichum spp. had a MIC value of > or = 0.38 microg/ml for amphotericin B. The rate of colonization was 3.36% (47/1397). Only 10 (0.71%) patients out of a total of 1397 developed candidemia during the period of the investigation. Of these, 7 (70%) were caused by non-albicans Candida spp.

Multilocus enzyme electrophoresis typing of Candida albicans populations isolated from healthy children according to socioeconomic background

The aim of this research was to evaluate the genetic diversity within and between C. albicans populations isolated from the oral cavity of healthy Brazilian children classified into five socioeconomic categories (A to E). Multilocus Enzyme Electrophoresis (MLEE) analysis was the method used to assess genetic diversity. High genetic diversity was observed in all populations that showed predominance of some C. albicans subtypes (Electrophoretic Types - ETs). However, no correlation was observed between a specific ET and a specific population of children. Clustering analysis showed one or more highly related ET clusters, suggesting the existence of indirect and direct propagation routes of C. albicans among healthy children. Microevolutionary changes were observed in some C. albicans populations isolated from children with the same or very similar socioeconomic condition. Furthermore, low transition of C. albicans subtypes can be occurring among certain populations of children coming from high and medium/high, or high and medium/low, or medium/high and medium/low socioeconomic categories, which can also be explained by their own socioeconomic and cultural characteristics.

Subspecies characterization of porcine Campylobacter coli and Campylobacter jejuni by multilocus enzyme electrophoresis typing

Enteropathogenic Campylobacterjejuni, C. coli and C. lari are currently the most common causes of acute infectious diarrhoeal illness in the UK. Many domestic animals, including pigs, act as natural reservoirs of these organisms and infection may occur through the ingestion of contaminated foodstuffs. C jejuni and C. coli, isolated from the livers of bacon pigs, were examined at subspecies level by multilocus enzyme electrophoresis (MEE) typing with seven enzymic loci. Polymorphological variation was highest with indophenol oxidase, isocitrate dehydrogenase and L-phenylalanyl-L-leucine peptidase giving 5. 5 and 4 alleles at these loci, respectively. The 35 Campylobacter isolates examined in this study (12 C. jejuni and 23 C coli) represented 30 unique electrophoretic types (ETs). Of these ETs, 8 unique types were detected for the 12 C jejuni isolates and 19 unique ETs were detected for the 23 C coli isolates. In addition, 3 types (ETs 2, 5, 10) were shared in common among C. jejuni and C coli. The average number of alleles per enzyme locus was 3.28. The mean genetic diversity, i.e. arithmetic average over all loci assayed, including monomorphic values, was 0.5573 and 0.5350 for C jejuni and C coli. respectively. Alleles were shared by C jejuni and C coli, suggesting an exchange of genetic material between the species. MEE analyses of isolates showed that there was a wide range of subspecies types within both C. jejuni and C coli in porcine livers. In certain cases, up to four phenotypically different strains of C coli were isolated from one liver, indicating multiple infections.

The ins and outs of DNA fingerprinting the infectious fungi

DNA fingerprinting methods have evolved as major tools in fungal epidemiology. However, no single method has emerged as the method of choice, and some methods perform better than others at different levels of resolution. In this review, requirements for an effective DNA fingerprinting method are proposed and procedures are described for testing the efficacy of a method. In light of the proposed requirements, the most common methods now being used to DNA fingerprint the infectious fungi are described and assessed. These methods include restriction fragment length polymorphisms (RFLP), RFLP with hybridization probes, randomly amplified polymorphic DNA and other PCR-based methods, electrophoretic karyotyping, and sequencing-based methods. Procedures for computing similarity coefficients, generating phylogenetic trees, and testing the stability of clusters are then described. To facilitate the analysis of DNA fingerprinting data, computer-assisted methods are described. Finally, the problems inherent in the collection of test and control isolates are considered, and DNA fingerprinting studies of strain maintenance during persistent or recurrent infections, microevolution in infecting strains, and the origin of nosocomial infections are assessed in light of the preceding discussion of the ins and outs of DNA fingerprinting. The intent of this review is to generate an awareness of the need to verify the efficacy of each DNA fingerprinting method for the level of genetic relatedness necessary to answer the epidemiological question posed, to use quantitative methods to analyze DNA fingerprint data, to use computer-assisted DNA fingerprint analysis systems to analyze data, and to file data in a form that can be used in the future for retrospective and comparative studies.

The ins and outs of DNA fingerprinting the infectious fungi

DNA fingerprinting methods have evolved as major tools in fungal epidemiology. However, no single method has emerged as the method of choice, and some methods perform better than others at different levels of resolution. In this review, requirements for an effective DNA fingerprinting method are proposed and procedures are described for testing the efficacy of a method. In light of the proposed requirements, the most common methods now being used to DNA fingerprint the infectious fungi are described and assessed. These methods include restriction fragment length polymorphisms (RFLP), RFLP with hybridization probes, randomly amplified polymorphic DNA and other PCR-based methods, electrophoretic karyotyping, and sequencing-based methods. Procedures for computing similarity coefficients, generating phylogenetic trees, and testing the stability of clusters are then described. To facilitate the analysis of DNA fingerprinting data, computer-assisted methods are described. Finally, the problems inherent in the collection of test and control isolates are considered, and DNA fingerprinting studies of strain maintenance during persistent or recurrent infections, microevolution in infecting strains, and the origin of nosocomial infections are assessed in light of the preceding discussion of the ins and outs of DNA fingerprinting. The intent of this review is to generate an awareness of the need to verify the efficacy of each DNA fingerprinting method for the level of genetic relatedness necessary to answer the epidemiological question posed, to use quantitative methods to analyze DNA fingerprint data, to use computer-assisted DNA fingerprint analysis systems to analyze data, and to file data in a form that can be used in the future for retrospective and comparative studies.

Elucidating the origins of nosocomial infections with Candida albicans by DNA fingerprinting with the complex probe Ca3

Computer-assisted DNA fingerprinting with the complex probe Ca3 has been used to analyze the relatedness of isolates collected from individuals with nosocomial bloodstream infections (BSIs) and hospital care workers (HCWs) in the surgical and neonatal intensive care units (ICUs) of four hospitals. The results demonstrate that for the majority of patients (90%), isolates collected from commensal sites before and after collection of a BSI isolate were highly similar or identical to the BSI isolate. In addition, the average similarity coefficient for BSI isolates was similar to that for unrelated control isolates. However, the cluster characteristics of BSI isolates in dendrograms generated for each hospital compared to those of unrelated control isolates in a dendrogram demonstrated a higher degree of clustering of the former. In addition, a higher degree of clustering was observed in mixed dendrograms for HCV isolates and BSI isolates for each of the four test hospitals. In most cases, HCW isolates from an ICU were collected after the related BSI isolate, but in a few cases, the reverse was true. Although the results demonstrate that single, dominant endemic strains are not responsible for nosocomial BSIs in neonatal ICUs and surgical ICUs, they suggest that multiple endemic strains may be responsible for a significant number of cases. The results also suggest that cross-contamination occurs between patients and HCWs and between HCWs in the same ICU and in different ICUs. The temporal sequence of isolation also suggests that in the majority of cases HCWs are contaminated by isolates from colonized patients, but in a significant minority, the reverse is true. The results of this study provide the framework for a strategy for more definitive testing of the origins of Candida albicans strains responsible for nosocomial infections.