Development and evaluation of an automated hepatitis C virus NS5B sequence-based subtyping assay.

BACKGROUND: Hepatitis C virus (HCV) genotyping and accurate subtype determination is becoming increasingly important to better understand viral evolution, the development of resistance to STAT-C, and possibly even for the treatment and management of chronic HCV-infected patients. METHODS: A subtyping assay based on a 329-bp sequence of the NS5B region, together with an automated subtype interpretation tool was developed. Clinical samples of the six major genotypes were used to assess assay performance characteristics. RESULTS: The NS5B BLAST-based subtyping assay showed clinical sensitivity for amplification of 89% (n=603 random samples). Assessment of analytical sensitivity of amplification for genotypes 1, 2, 3 and 4 revealed a suitable performance for high viral load samples and decreased only with low viral loads. The results were 100% and 99% accurate at the genotype and subtype level, respectively. A concordance of 97% on genotype level and 62% on subtype level was observed by comparison with subtype results from 5' non-coding-based assays with a panel of 276 isolates. CONCLUSIONS: The HCV NS5B subtyping assay has been validated for research use. Based on its performance, it is the method of choice in cases where subtype rather than genotype information is needed.

Advantages of predicted phenotypes and statistical learning models in inferring virological response to antiretroviral therapy from HIV genotype.

BACKGROUND: Inferring response to antiretroviral therapy from the viral genotype alone is challenging. The utility of an intermediate step of predicting in vitro drug susceptibility is currently controversial. Here, we provide a retrospective comparison of approaches using either genotype or predicted phenotypes alone, or in combination. METHODS: Treatment change episodes were extracted from two large databases from the USA (Stanford-California) and Europe (EuResistDB) comprising data from 6,706 and 13,811 patients, respectively. Response to antiretroviral treatment was dichotomized according to two definitions. Using the viral sequence and the treatment regimen as input, three expert algorithms (ANRS, Rega and HIVdb) were used to generate genotype-based encodings and VircoTYPE() 4.0 (Virco BVBA, Mechelen, Belgium) was used to generate a predicted -phenotype-based encoding. Single drug classifications were combined into a treatment score via simple summation and statistical learning using random forests. Classification performance was studied on Stanford-California data using cross-validation and, in addition, on the independent EuResistDB data. RESULTS: In all experiments, predicted phenotype was among the most sensitive approaches. Combining single drug classifications by statistical learning was significantly superior to unweighted summation (P<2.2x10(-16)). Classification performance could be increased further by combining predicted phenotypes and expert encodings but not by combinations of expert encodings alone. These results were confirmed on an independent test set comprising data solely from EuResistDB. CONCLUSIONS: This study demonstrates consistent performance advantages in utilizing predicted phenotype in most scenarios over methods based on genotype alone in inferring virological response. Moreover, all approaches under study benefit significantly from statistical learning for merging single drug classifications into treatment scores.

HIV-1 coreceptor usage determination in clinical isolates using clonal and population-based genotypic and phenotypic assays.

Orally bioavailable CXCR4 and CCR5 coreceptor antagonists are being developed for the treatment of HIV-1 infection. A new tropism-testing platform, which offers various options depending on the needs, was established. Each option has specific characteristics in terms of sensitivity, information, throughput and cost. The platform consists of four assays, all based on a one-step RT-PCR of the main part of the HIV envelope glycoprotein gp120 (called 'NH(2)-V4'). Population-based sequencing of gp120's V3 loop is generally cheap and easy to run, and was chosen as the first test in the platform's cascade. Given its drawbacks such as limited sensitivity, additional tests were developed. A sensitive assay using NH(2)-V4 gp120 clonal sequencing and tropism prediction enabled us to demonstrate the quasispecies diversity present in 13 patient samples. For phenotyping, an eGFP-containing HIV backbone deleted for NH(2)-V4 was constructed and used for clonal and population tropism determination. As expected, clonal NH(2)-V4 gp120 phenotyping demonstrated significant correlation between prediction algorithms and phenotype-based classification. The absence of the N-linked glycosylation motif in V3 was associated with CXCR4 usage. Finally, population NH(2)-V4 gp120 phenotypic tropism determination appeared to be a promising tool for the detection of minority species present in the amplified envelope fragments.

Flagella-driven chemotaxis towards exudate components is an important trait for tomato root colonization by Pseudomonas fluorescens.

Motility is a major trait for competitive tomato root-tip colonization by Pseudomonas fluorescens. To test the hypothesis that this role of motility is based on chemotaxis toward exudate components, cheA mutants that were defective in flagella-driven chemotaxis but retained motility were constructed in four P. fluorescens strains. After inoculation of seedlings with a 1:1 mixture of wild-type and nonmotile mutants all mutants had a strongly reduced competitive root colonizing ability after 7 days of plant growth, both in a gnotobiotic sand system as well as in nonsterile potting soil. The differences were significant on all root parts and increased from root base to root tip. Significant differences at the root tip could already be detected after 2 to 3 days. These experiments show that chemotaxis is an important competitive colonization trait. The best competitive root-tip colonizer, strain WCS365, was tested for chemotaxis toward tomato root exudate and its major identified components. A chemotactic response was detected toward root exudate, some organic acids, and some amino acids from this exudate but not toward its sugars. Comparison of the minimal concentrations required for a chemotactic response with concentrations estimated for exudates suggested that malic acid and citric acid are among major chemo-attractants for P. fluorescens WCS365 cells in the tomato rhizosphere.

Direct evidence for the involvement of extracellular proteins in the adhesion of Azospirillum brasilense.

Adhesion of Azospirillum brasilense to glass and polystyrene was investigated by bringing the cells into contact with the support by sedimentation. Adhesion depended on time and temperature: lower adhesion densities were observed when the contact time was only 2 h or 6 h, as compared to 24 h, or when the test was performed at 4 -C, as compared to 30 °. The influence of cell physiology was further demonstrated by the effect of tetracycline, which inhibited adhesion. Scanning electron microscopy showed that cells produced extracellular material when left in contact with a support for 24 h. The surface elemental composition of cells and of polystyrene supports after cell adhesion and subsequent detachment was determined by X-ray photoelectron spectroscopy; this provided information on the relative concentrations of proteins and polysaccharides at the surface. The protein concentration at the surface of a cell sediment increased as a function of time at 30 °, correlating with an increase of adhesion density. A similar correlation between protein concentration and adhesion density was found when comparing exponentialphase cells with stationary-phase cells. The surface composition of polystyrene supports examined after cell detachment was found to be rich in proteins, indicating that proteins are the major constituent at the support surface. Lowering the contact time, or performing adhesion under unfavourable metabolic conditions (4 °) or in the presence of tetracycline, resulted in a decrease in protein concentration at the support surface, which was correlated with a decrease in adhesion density. The correlation between protein concentration at the cell surface or at the support surface and adhesion density, under different experimental conditions, provides a direct demonstration of the involvement of extracellular proteins in the adhesion of A. brasilense to inert surfaces.

Isolation and sequence analysis of the GlnKamtB1amtB2 gene cluster, encoding a PII homologue and two putative ammonium transporters, from Pseudomonas stutzeri A15.

By PCR, using primers based on heterologous amtB genes, an amtB sequence of Pseudomonas stutzeri A15 was amplified. This DNA fragment was used as a probe in Southern hybridisation experiments and resulted in the isolation and sequence analysis of a 6017 bp genomic fragment of P. stutzeri A15 containing glnKamtB1amtB2. GlnK codes for a homologue of the nitrogen regulatory PII protein, amtB1 and amtB2 encode putative ammonium transporters. Whereas a glnKamtB gene cluster is common among bacteria, a tandem repeat of ammonium transporter genes has not been reported before. Apart from the presence of a second amtB gene, the gene organisation on this 6 kbp fragment is very similar to a particular region in the genome of Pseudomonas aeruginosa PAO1, relatively closely related to P. stutzeri. Furthermore, the amtB1 gene shows the highest similarity with P. aeruginosa amtB, whereas the amtB2 gene is more closely related to cyanobacterial amtB genes, which are reported to be monocistronically transcribed and not clustered with glnK homologues. Upstream of glnK, NtrC and RpoN recognition sites can be observed. In the intergenic region of glnKamtB1amtB2 no terminators nor extra promoter sequences were observed, indicating that glnKamtB1amtB2 is possibly transcribed as a nitrogen regulated operon.

Minor Variant Detection at Different Template Concentrations in HIV-1 Phenotypic and Genotypic Tropism Testing.

The clinical trials of maraviroc showed that treatment failure was mostly associated with lack of X4 virus detection at baseline. The detection limit for X4 in tropism assays is ill defined around 10%. In the current study, quantification of X4-tropic minority populations was assessed on artificial mixed samples and 38 clinical isolates. These mixtures were subjected to tropism "clonal genotyping" or "population phenotyping". The detection of minority variants was dependant on the input of amplifiable copies. At VL > 4 log IU/ml, X4 quantification was deemed reliable. PCR founder effect and clonal resampling might result in misrepresentation of the minority species concentration at VL < 4 log. Fourteen of the clinical isolates contained dual/mixed X4-tropic virus, 5 of which were below 10% of the virus population. Currently, there is no indication what level of X4 would lead to treatment failure. Assays aiming for the detection of minority species should express results in function of VL.

Determination of clinically relevant cutoffs for HIV-1 phenotypic resistance estimates through a combined analysis of clinical trial and cohort data.

BACKGROUND: Clinically relevant cutoffs are needed for the interpretation of HIV-1 phenotypic resistance estimates as predicted by "virtual" phenotype HIV resistance analysis. METHODS: Using a clinical data set containing 2596 treatment change episodes in 2217 patients in 8 clinical trials and 2 population-based cohorts, drug-specific linear regression models were developed to describe the relation between baseline characteristics (resistance, viral load, and treatment history), new treatment regimen selected, and 8-week virologic outcome. RESULTS: These models were used to derive clinical cutoffs (CCOs) for 6 nucleoside/nucleotide reverse transcriptase inhibitors (zidovudine, lamivudine, stavudine, didanosine, abacavir, and tenofovir), 3 unboosted protease inhibitors (PIs; indinavir, amprenavir, and nelfinavir), and 4 ritonavir-boosted PIs (indinavir/ritonavir, amprenavir/ritonavir, saquinavir/ritonavir, lopinavir/ritonavir). The CCOs were defined as the phenotypic resistance levels (fold change [FC]) associated with a 20% and 80% loss of predicted wild-type drug effect and depended on the drug-specific dynamic range of the assay. CONCLUSIONS: The proposed CCOs were better correlated with virologic response than were biological cutoffs and provide a relevant tool for estimating the resistance to antiretroviral drug combinations used in clinical practice. They can be applied to diverse patient populations and are based on a consistent methodologic approach to interpreting phenotypic drug resistance.