Rapid and Accurate Diagnosis of Dermatophyte Infections Using the DendrisCHIP® Technology.

Dermatophytosis is a superficial fungal infection with an ever-increasing number of patients. Culture-based mycology remains the most commonly used diagnosis, but it takes around four weeks to identify the causative agent. Therefore, routine clinical laboratories need rapid, high throughput, and accurate species-specific analytical methods for diagnosis and therapeutic management. Based on these requirements, we investigated the feasibility of DendrisCHIP® technology as an innovative molecular diagnostic method for the identification of a subset of 13 pathogens potentially responsible for dermatophytosis infections in clinical samples. This technology is based on DNA microarray, which potentially enables the detection and discrimination of several germs in a single sample. A major originality of DendrisCHIP® technology is the use of a decision algorithm for probability presence or absence of pathogens based on machine learning methods. In this study, the diagnosis of dermatophyte infection was carried out on more than 284 isolates by conventional microbial culture and DendrisCHIP®DP, which correspond to the DendrisCHIP® carrying oligoprobes of the targeted pathogens implicated in dermatophytosis. While convergence ranging from 75 to 86% depending on the sampling procedure was obtained with both methods, the DendrisCHIP®DP proved to identify more isolates with pathogens that escaped the culture method. These results were confirmed at 86% by a third method, which was either a specific RT-PCR or genome sequencing. In addition, diagnostic results with DendrisCHIP®DP can be obtained within a day. This faster and more accurate identification of fungal pathogens with DendrisCHIP®DP enables the clinician to quickly and successfully implement appropriate antifungal treatment to prevent the spread and elimination of dermatophyte infection. Taken together, these results demonstrate that this technology is a very promising method for routine diagnosis of dermatophytosis.

Epidemiological, Clinical and Laboratory Features of Strongyloidiasis in 69 Attendees at a French Outpatient Clinic.

The present retrospective study analyzed the characteristics of strongyloidiasis in patients who were diagnosed at the Outpatient Clinic of the Department of Parasitology-Mycology, Toulouse, France. Sixty-nine file records were included in the study on the basis of a positive stool examination that used Baermann's method. The prominent epidemiological findings were the presence of former immigrants from Italy or Portugal, veterans from the 1st Indochina war, and autochthonous cases. Almost 1/4 of the patients were asymptomatic. Manifestations of skin allergy were the main clinical feature. Blood eosinophilia was present in 76.8% of the patients, and serum total IgE was ≥150 kIU/L in 79.7%. Immunodiagnosis was achieved from 1990 to 2001 by indirect immunofluorescence (IFAT) that was then replaced with ELISA, both methods using Strongyloides ratti filariform larvae. ELISA was found to be similar to IFAT in terms of specificity but exhibited a greater sensitivity. Patients were primarily treated with albendazole or ivermectin beginning in 1993. Forty-eight patients attended the follow-up consultation. Kinetics of the clinical picture and blood eosinophilia were found to be the most convenient parameters to assess the efficacy of anthelmintic therapy. In conclusion, strongyloidiasis remains a neglected disease in Southwestern France. The resolution of clinical features along with the kinetics of eosinophilia appeared to be the most appropriate parameters to check during the posttreatment follow-up.

The DendrisCHIP® Technology as a New, Rapid and Reliable Molecular Method for the Diagnosis of Osteoarticular Infections.

Osteoarticular infections are major disabling diseases that can occur after orthopedic implant surgery in patients. The management of these infections is very complex and painful, requiring surgical intervention in combination with long-term antibiotic treatment. Therefore, early and accurate diagnosis of the causal pathogens is essential before formulating chemotherapeutic regimens. Although culture-based microbiology remains the most common diagnosis of osteoarticular infections, its regular failure to identify the causative pathogen as well as its long-term modus operandi motivates the development of rapid, accurate, and sufficiently comprehensive bacterial species-specific diagnostics that must be easy to use by routine clinical laboratories. Based on these criteria, we reported on the feasibility of our DendrisCHIP® technology using DendrisCHIP®OA as an innovative molecular diagnostic method to diagnose pathogen bacteria implicated in osteoarticular infections. This technology is based on the principle of microarrays in which the hybridization signals between oligoprobes and complementary labeled DNA fragments from isolates queries a database of hybridization signatures corresponding to a list of pre-established bacteria implicated in osteoarticular infections by a decision algorithm based on machine learning methods. In this way, this technology combines the advantages of a PCR-based method and next-generation sequencing (NGS) while reducing the limitations and constraints of the two latter technologies. On the one hand, DendrisCHIP®OA is more comprehensive than multiplex PCR tests as it is able to detect many more germs on a single sample. On the other hand, this method is not affected by the large number of nonclinically relevant bacteria or false positives that characterize NGS, as our DendrisCHIP®OA has been designed to date to target only a subset of 20 bacteria potentially responsible for osteoarticular infections. DendrisCHIP®OA has been compared with microbial culture on more than 300 isolates and a 40% discrepancy between the two methods was found, which could be due in part but not solely to the absence or poor identification of germs detected by microbial culture. We also demonstrated the reliability of our technology in correctly identifying bacteria in isolates by showing a convergence (i.e., same bacteria identified) with NGS superior to 55% while this convergence was only 32% between NGS and microbial culture data. Finally, we showed that our technology can provide a diagnostic result in less than one day (technically, 5 h), which is comparatively faster and less labor intensive than microbial cultures and NGS.

Innovative DendrisChips® Technology for a Syndromic Approach of In Vitro Diagnosis: Application to the Respiratory Infectious Diseases.

Clinical microbiology is experiencing the emergence of the syndromic approach of diagnosis. This paradigm shift will require innovative technologies to detect rapidly, and in a single sample, multiple pathogens associated with an infectious disease. Here, we report on a multiplex technology based on DNA-microarray that allows detecting and discriminating 11 bacteria implicated in respiratory tract infection. The process requires a PCR amplification of bacterial 16S rDNA, a 30 min hybridization step on species-specific oligoprobes covalently linked on dendrimers coated glass slides (DendriChips®) and a reading of the slides by a dedicated laser scanner. A diagnostic result is delivered in about 4 h as a predictive value of presence/absence of pathogens using a decision algorithm based on machine-learning method, which was constructed from hybridization profiles of known bacterial and clinical isolated samples and which can be regularly enriched with hybridization profiles from clinical samples. We demonstrated that our technology converged in more than 95% of cases with the microbiological culture for bacteria detection and identification.

A Serological Survey About Zoonoses in the Verkhoyansk Area, Northeastern Siberia (Sakha Republic, Russian Federation).

In 2012, a seroprevalence survey concerning 10 zoonoses, which were bacterial (Lyme borreliosis and Q fever), parasitic (alveolar echinococcosis [AE] and cystic echinococcosis [CE], cysticercosis, toxoplasmosis, toxocariasis, and trichinellosis), or arboviral (tick-borne encephalitis and West Nile virus infection), was conducted among 77 adult volunteers inhabiting Suordakh and Tomtor Arctic villages in the Verkhoyansk area (Yakutia). Following serological testing by enzyme-linked immunosorbent assay and/or western blot, no positive result was found for cysticercosis, CE, toxocariasis, trichinellosis, and both arboviral zoonoses. Four subjects (5.2%) had anti-Toxoplasma IgG, without the presence of specific IgM. More importantly, eight subjects (10.4%) tested positive for Lyme borreliosis, two (2.6%) for recently acquired Q fever, and one (1.3%) for AE. Lyme infection and Q fever, whose presence had not been reported so far in Arctic Yakutia, appeared therefore to be a major health threat for people dwelling, sporting, or working in the Arctic area of the Sakha Republic.

Molecular identification of bacteria by total sequence screening: determining the cause of death in ancient human subjects.

Research of ancient pathogens in ancient human skeletons has been mainly carried out on the basis of one essential historical or archaeological observation, permitting specific pathogens to be targeted. Detection of ancient human pathogens without such evidence is more difficult, since the quantity and quality of ancient DNA, as well as the environmental bacteria potentially present in the sample, limit the analyses possible. Using human lung tissue and/or teeth samples from burials in eastern Siberia, dating from the end of 17(th) to the 19(th) century, we propose a methodology that includes the: 1) amplification of all 16S rDNA gene sequences present in each sample; 2) identification of all bacterial DNA sequences with a degree of identity ≥ 95%, according to quality criteria; 3) identification and confirmation of bacterial pathogens by the amplification of the rpoB gene; and 4) establishment of authenticity criteria for ancient DNA. This study demonstrates that from teeth samples originating from ancient human subjects, we can realise: 1) the correct identification of bacterial molecular sequence signatures by quality criteria; 2) the separation of environmental and pathogenic bacterial 16S rDNA sequences; 3) the distribution of bacterial species for each subject and for each burial; and 4) the characterisation of bacteria specific to the permafrost. Moreover, we identified three pathogens in different teeth samples by 16S rDNA sequence amplification: Bordetella sp., Streptococcus pneumoniae and Shigella dysenteriae. We tested for the presence of these pathogens by amplifying the rpoB gene. For the first time, we confirmed sequences from Bordetella pertussis in the lungs of an ancient male Siberian subject, whose grave dated from the end of the 17(th) century to the early 18(th) century.

Accuracy of a routine real-time PCR assay for the diagnosis of Pneumocystis jirovecii pneumonia.

Pneumocystis jirovecii is a common cause of life-threatening pneumonia among immunocompromised patients. Using 400 fresh bronchoalveolar lavage samples, we compared prospectively routine direct immunofluorescence assay (DFA) and a real-time PCR assay, performed on a LightCycler system, for the detection of P. jirovecii. Among the 66 PCR positive samples, 31 were positive by DFA. No patient was found as having the pattern "PCR--ve/DFA+ve". The semi-quantification of the P. jirovecii DNA was represented by the cycle threshold (Ct). Using DFA as the gold standard, the sensitivity of the PCR was 100% for Ct > or = 28 and the specificity was 100% for Ct < 22. Between these two points, the results could be discrepant. The patients of the "22 < or = Ct < 28" group presented more frequently with a radiological interstitial syndrome than the "Ct > or = 28" group, and presented less frequently with HIV-infection and elevated lactate dehydrogenase (LDH) assay than in the "Ct < 22" group. A negative PCR allowed us to exclude the P. jirovecii pneumonia. The real-time PCR assay seems to be an accurate diagnosis method and could replace the DFA. The semi-quantitative results should be helpful to distinguish colonized, subclinically infected and P. jirovecii pneumonia patients.

Nucleotide sequencing for diagnosis of sinusal infection by Schizophyllum commune, an uncommon pathogenic fungus.

Schizophyllum commune, a basidiomycete fungus, is a rare cause of mycotic disease. We report here a case of sinusitis in a 35-year-old woman that underscores the value of molecular biology for the diagnosis of this fungal infection.

Use of a locked-nucleic-acid oligomer in the clamped-probe assay for detection of a minority Pfcrt K76T mutant population of Plasmodium falciparum.

Given the emergence of drug resistance and the high rate of polyclonal microorganism infections, the availability of a fast and sensitive test to detect minority mutant populations would be an improvement in the diagnosis of infectious diseases. A clamped-probe real-time PCR assay to diagnose the Plasmodium falciparum K76T mutation in clone populations was developed, using a wild-type-specific locked-nucleic-acid-containing oligomer to suppress wild-type PCR amplification and to enhance melting analysis with a mutation-specific detection probe.

Pfcrt K76T mutation and its associations in imported Plasmodium falciparum malaria cases.

Over 3 years (1999-2002), 305 cases of falciparum malaria were diagnosed in Toulouse, France. After retrospective analysis, only 131 patients entered the study. The diagnosis of malaria was ensured by optical methods (QBC then thin smear examination), the results of which were checked from 1999 to mid-2001 by a conventional PCR method, replaced at that time by a real-time PCR using LightCycler. To detect Pfcrt K(lysine)76T(threonine) mutation, a real-time PCR assay was developed, the sensitivity of which was one mutated parasite per microliter, or 2% mutant asexual forms in a mixed population. Eighty-one patients harbored only mutant parasites, and 11 had a K76K/T76-mixed infection. The distribution of K76T mutation was significantly affected by the use of a chloroquine + proguanil (CQ + P) prophylaxis (P = 0.00037). Among 96 subjects who had no exposure to chloroquine or any history of CQ + P prophylaxis, the mean parasitemia was higher in K76-infected patients (P = 0.038), which suggested a lack of virulence in the falciparum mutant population.

Detection by real-time PCR of the Pfcrt T76 mutation, a molecular marker of chloroquine-resistant Plasmodium falciparum strains.

An efficient and fast diagnostic assay was developed to detect the point mutation involved in the resistance of Plasmodium falciparum to chloroquine. The test, based upon a real-time PCR principle and performed with the LightCycler system, was carried out on venous blood isolates from 221 cases of falciparum malaria. The assay provided a quick, sensitive and reliable detection of the T76 Pfcrt mutation and the chloroquine resistance. The results of this study suggest that this LightCycler-based technique could be used to optimise the treatment of imported uncomplicated falciparum malaria, and also for the molecular surveillance of drug resistance among imported cases of this disease.