Martin Stürmer

A Novel Human Immunodeficiency Virus Type 1 Reverse Transcriptase Mutational Pattern Confers Phenotypic Lamivudine Resistance in the Absence of Mutation 184V

ABSTRACT We describe a new human immunodeficiency virus type 1 (HIV-1) mutational pattern associated with phenotypic resistance to lamivudine (3TC) in the absence of the characteristic replacement of methionine by valine at position 184 (M184V) of reverse transcriptase. Combined genotypic and phenotypic analyses of clinical isolates revealed the presence of moderate levels of phenotypic resistance (between 4- and 50-fold) to 3TC in a subset of isolates that did not harbor the M184V mutation. Mutational cluster analysis and comparison with the phenotypic data revealed a significant correlation between moderate phenotypic 3TC resistance and an increased incidence of replacement of glutamic acid by aspartic acid or alanine and of valine by isoleucine at residues 44 and 118 of reverse transcriptase, respectively. This occurred predominantly in those isolates harboring zidovudine resistance-associated mutations (41L, 215Y). The requirement of the combination of mutations 41L and 215Y with mutations 44D and 44A and/or 118I for phenotypic 3TC resistance was confirmed by site-directed mutagenesis experiments. These data support the assumption that HIV-1 may have access to several different genetic pathways to escape drug pressure or that the increase in the frequency of particular mutations may affect susceptibility to drugs that have never been part of a particular regimen.

Ultrasensitive Monitoring of HIV-1 Viral Load by a Low-Cost Real-Time Reverse Transcription-PCR Assay with Internal Control for the 5′ Long Terminal Repeat Domain

Abstract Background: Current HIV-1 viral-load assays are too expensive for resource-limited settings. In some countries, monitoring of antiretroviral therapy is now more expensive than treatment itself. In addition, some commercial assays have shown shortcomings in quantifying rare genotypes. Methods: We evaluated real-time reverse transcription-PCR with internal control targeting the conserved long terminal repeat (LTR) domain of HIV-1 on reference panels and patient samples from Brazil (n = 1186), South Africa (n = 130), India (n = 44), and Germany (n = 127). Results: The detection limit was 31.9 IU of HIV-1 RNA/mL of plasma (>95% probability of detection, Probit analysis). The internal control showed inhibition in 3.7% of samples (95% confidence interval, 2.32%–5.9%; n = 454; 40 different runs). Comparative qualitative testing yielded the following: Roche Amplicor vs LTR assay (n = 431 samples), 51.7% vs 65% positives; Amplicor Ultrasensitive vs LTR (n = 133), 81.2% vs 82.7%; BioMerieux NucliSens HIV-1 QT (n = 453), 60.5% vs 65.1%; Bayer Versant 3.0 (n = 433), 57.7% vs 55.4%; total (n = 1450), 59.0% vs 63.8% positives. Intra-/interassay variability at medium and near-negative concentrations was 18%–51%. The quantification range was 50–10 000 000 IU/mL. Viral loads for subtypes A–D, F–J, AE, and AG yielded mean differences of 0.31 log10 compared with Amplicor in the 103–104 IU/mL range. HIV-1 N and O were not detected by Amplicor, but yielded up to 180 180.00 IU/mL in the LTR assay. Viral loads in stored samples from all countries, compared with Amplicor, NucliSens, or Versant, yielded regression line slopes (SD) of 0.9 (0.13) (P <0.001 for all). Conclusions: This method offers all features of commercial assays and covers all relevant genotypes. It could allow general monitoring of antiretroviral therapy in resource-limited settings.

Severe acute respiratory syndrome (SARS)—paradigm of an emerging viral infection

Abstract An acute and often severe respiratory illness emerged in southern China in late 2002 and rapidly spread to different areas of the Far East as well as several countries around the globe. When the outbreak of this apparently novel infectious disease termed severe acute respiratory syndrome (SARS) came to an end in July 2003, it had caused over 8000 probable cases worldwide and more than 700 deaths. Starting in March 2003, the World Health Organization (WHO) organised an unprecedented international effort by leading laboratories working together to find the causative agent. Little more than one week later, three research groups from this WHO-coordinated network simultaneously found evidence of a hitherto unknown coronavirus in SARS patients, using different approaches. After Koch’s postulates had been fulfilled, WHO officially declared on 16 April 2003 that this virus never before seen in humans is the cause of SARS. Ever since, progress around SARS-associated coronavirus (SARS-CoV) has been swift. Within weeks of the first isolate being obtained, its complete genome was sequenced. Diagnostic tests based on the detection of SARS-CoV RNA were developed and made available freely and widely; nevertheless the SARS case definition still remains based on clinical and epidemiological criteria. The agent’s environmental stability, methods suitable for inactivation and disinfection, and potential antiviral compounds have been studied, and development of vaccines and immunotherapeutics is ongoing. Despite its grave consequences in humanitarian, political and economic terms, SARS may serve as an example of how much can be achieved through a well-coordinated international approach, combining the latest technological advances of molecular virology with more “traditional” techniques carried out to an excellent standard.

Laboratory Diagnosis of Norovirus: Which Method Is the Best?

Noroviruses (NV) are transmitted by fecally contaminated food, vomit, and person-to-person contact. They are one of the main causes of non-bacterial acute gastroenteritis in nursing, old people and children’s homes. NV outbreaks are characterized by a short incubation period (12–48 h), nausea, vomiting and diarrhea, and high secondary attack rates. The illness is generally mild and self-limiting. The aim of diagnostic procedures in viral gastroenteritis is to avoid nosocomial infections on the one hand and unnecessary antibiotic treatment on the other. Diagnostic procedures for NV are based on the detection of virus in stool samples by (immune) transmission electron microscopy (TEM), antigen ELISA, or polymerase chain reaction (PCR). In our study, a total of 244 stool samples obtained from 227 patients between March and May 2002 were tested by TEM, antigen ELISA and in-house PCR. Our data showed that PCR has the highest sensitivity (94.1%), followed by TEM (58.3%), and ELISA (31.3%), while specificity was highest for TEM (98.0%), followed by ELISA (94.9%), and PCR (92.4%). All three methods tested (TEM, ELISA and PCR) are useful for epidemiological investigations in gastroenteritis outbreaks; however, to maximize diagnostic validity for individual cases, at least two of the methods should be combined.

Prions and Orthopedic Surgery

Abstract.Prions are a novel class of infectious agents that cause subacute encephalopathy in man and animals as human Creutzfeldt-Jakob disease (CJD), sheep scrapie and bovine spongiform encephalopathy (BSE). Previously, prions were shown to be transmitted by neuro- and ophthalmosurgical measures and by application of brain-derived therapeutic hormones. Recently, prions have been detected in blood specimens of experimentally infected monkeys indicating a principal threat to transfusion medicine, furthermore in human or bovine materials used in reconstitutive surgery. In this article the risk of prion transmission from the surgeon to the patient or vice versa during (orthopedic) surgery is reevaluated including the issues of blood transfusion. This is accomplished based on recent epidemiologic findings and biometric calculations on the spread of prions in animals and humans as well as in terms of experimental data on artificially contaminated medical materials and devices. The overall risk of prion transmission in orthopedic surgery is considered very low if adequately prepared and sterilized materials and devices are used.

Correlation of Phenotypic Zidovudine Resistance with Mutational Patterns in the Reverse Transcriptase of Human Immunodeficiency Virus Type 1: Interpretation of Established Mutations and Characterization of New Polymorphisms at Codons 208, 211, and 214

ABSTRACT Zidovudine resistance (ZDV-R) is associated with classic genotypic changes at codons 41, 67, 70, 210, 215, and 219 of the human immunodeficiency virus type 1 (HIV-1) reverse transcriptase (RT) gene as well as with the multinucleoside resistance (MNR) complexes (Q151M MNR complex; 6-bp insertion/A62V complex). In addition, enhanced resistance to ZDV in the context of the classic ZDV mutations plus the M184V mutation has been associated with additional mutations at positions 208, 211, 214, and 333. In this study we investigated phenotypic ZDV-R determined by a recombinant virus assay (Antivirogram; Virco) in 223 clinical samples in relation to the above genotypic changes. 150 out of 223 clinical samples had the M184V mutation. Phenotypic ZDV-R ranged from 0.3- to 5,338-fold. Sixteen samples (15 with high ZDV-R ranging from 90- to 3,571-fold) contained MNR-associated patterns. Analysis of classic mutational patterns broadly demonstrated increasing ZDV-R with increasing number of ZDV mutations. A comparable correlation was obtained when ZDV-R was analyzed only relative to the T215Y/F mutation. Site-directed mutagenesis experiments investigating the influence of the additional mutations H208Y, R211K, and L214F on ZDV-R resulted in a 7.4- or 21-fold increase in ZDV-R when the R211K/L214F or H208Y/R211K/L214F mutations, respectively, were added to a highly ZDV-R virus. In the clinical sample data set we analyzed, the combination of R211K/L214F appeared most frequently. The H208Y change was detected only in highly ZDV-R viruses, whereas the G333E/D change was distributed equally. All changes were independent of the M184V mutation. A 2.4- or 8-fold increase in ZDV-R was observed in the clinical samples with high ZDV-R containing the R211K/L214F or H208Y/R211K/L214F mutations, respectively. We have shown that the combination of the additional mutations H208Y, R211K, and L214F in HIV-1 RT may influence ZDV-R and should be considered when assessing ZDV-R.

Phylogenetic analysis of HIV-1 transmission: pol gene sequences are insufficient to clarify true relationships between patient isolates.

HIV-1 has a high replication rate of about 10 viruses produced each day [1,2]. Because of the relatively high error rate of the HIV-1 reverse transcriptase (RT) of about 1 : 1000 to 1 : 10 000 errors per incorporated base [3,4], there is a high degree of variability between different virus isolates at the genomic level [5]. However, if two isolates have a common source, the degree of variation should be dependent on the time elapsed since the transmission event; at the time of transmission, the virus isolates should have been virtually indistinguishable. This fact has been shown for the env and the gag genes [6,7]. For that reason phylogenetic analyses are useful for the investigation of transmission events.

Evaluation of the Cobas AmpliPrep/Cobas Amplicor HIV-1 Monitor Ultrasensitive Test: comparison with the Cobas Amplicor HIV-1 Monitor test (manual specimen preparation).

In this preliminary study, we evaluated the performance of the Cobas AmpliPrep/Cobas Amplicor HIV-1 Monitor Ultrasensitive Test (CAP; Roche Molecular Systems, Branchburg, NJ) for automated specimen preparation and quantitative detection of human immunodeficiency virus type 1 (HIV-1) RNA and compared it to the Cobas Amplicor HIV-1 Monitor Ultrasensitive Test (MCA; Roche), which includes a manual sample preparation protocol. A dilution panel of a patient sample was prepared. Additionally, 584 EDTA plasma samples were collected from HIV-1 infected patients. Reproducibility was estimated with six assay runs using the dilution panel. The inter-assay coefficient of variation ranged from 39.4 to 48.4% (CAP assay) and from 34.3 to 45.6% (MCA assay), whereas the intra-assay coefficient of variation ranged from 6.2 to 58.0% (CAP assay) and from 4.4 to 57.3% (MCA assay). Comparison of CAP assay results with the HIV-1 copy number of the dilution panel determined by the MCA assay resulted in a good agreement, although the CAP results were found to be slightly lower. A significant correlation between both test systems was found when clinical samples were analyzed. The mean viral load of 152 samples, which were within the linear range of both tests, was 3.70 log(10) HIV-1 copies/ml by the CAP assay compared to 3.73 by the MCA assay. In conclusion, we could demonstrate that the new Cobas AmpliPrep/Cobas Amplicor HIV Monitor Ultrasensitive Test is reproducible and sensitive. In comparison to the assay with manual extraction, no significant difference in HIV-1 RNA copy numbers was observed.

Molecular assays for monitoring HIV infection and antiretroviral therapy

Infection with HIV results in lifelong persistence of the virus in the body of infected persons, independent of antiretroviral treatment. Therefore, efficient and meaningful therapy monitoring has been developed since its introduction in the 1980s. Whereas, primarily, the measurement of the CD4 cell count was the most important clinical marker of disease progression, nowadays the estimation of plasma viral load with molecular methods plays a major role as a marker of therapy success. To optimize therapy changes in patients failing on antiretroviral therapy regimen, HIV-1 genotyping has been introduced and is now widely accepted as an additional diagnostic tool. Due to this increase in diagnostic parameters, clinicians and virologists have to cope with many different methods. This review should give a brief overview of the current commercially available assays for detection and quantification of HIV, as well as for HIV-1 genotypic resistance testing. Quantitative reverse transcriptase PCR, real-time PCR, nucleic acid sequence-based amplification and the branched DNA system are described in detail, and the advantages and disadvantages are discussed. In addition, two commercially available HIV-1 genotyping assays are compared. However, a general recommendation to favor one system over the other cannot be given, because the final decision of which system to use should be decided on the individual requirements.

HIV-GRADE: A Publicly Available, Rules-based Drug Resistance Interpretation Algorithm Integrating Bioinformatic Knowledge

Background: Genotypic drug resistance testing provides essential information for guiding treatment in HIV-infected patients. It may either be used for identifying patients with transmitted drug resistance or to clarify reasons for treatment failure and to check for remaining treatment options. While different approaches for the interpretation of HIV sequence information are already available, no other available rules-based systems specifically have looked into the effects of combinations of drugs. HIV-GRADE (Genotypischer Resistenz Algorithmus Deutschland) was planned as a countrywide approach to establish standardized drug resistance interpretation in Germany and also to introduce rules for estimating the influence of mutations on drug combinations. The rules for HIV-GRADE are taken from the literature, clinical follow-up data and from a bioinformatics-driven interpretation system (geno2pheno[resistance]). HIV-GRADE presents the option of seeing the rules and results of other drug resistance algorithms for a given sequence simultaneously. Methods: The HIV-GRADE rules-based interpretation system was developed by the members of the HIV-GRADE registered society. For continuous updates, this expert committee meets twice a year to analyze data from various sources. Besides data from clinical studies and the centers involved, published correlations for mutations with drug resistance and genotype-phenotype correlation data information from the bioinformatic models of geno2pheno are used to generate the rules for the HIV-GRADE interpretation system. A freely available online tool was developed on the basis of the Stanford HIVdb rules interpretation tool using the algorithm specification interface. Clinical validation of the interpretation system was performed on the data of treatment episodes consisting of sequence information, antiretroviral treatment and viral load, before and 3 months after treatment change. Data were analyzed using multiple linear regression. Results: As the developed online tool allows easy comparison of different drug resistance interpretation systems, coefficients of determination (R2) were compared for the freely available rules-based systems. HIV-GRADE (R2 = 0.40), Stanford HIVdb (R2 = 0.40), REGA algorithm (R2 = 0.36) and ANRS (R2 = 0.35) had a very similar performance using this multiple linear regression model. Conclusion: The performance of HIV-GRADE is comparable to alternative rules-based interpretation systems. While there is still room for improvement, HIV-GRADE has been made publicly available to allow access to our approach regarding the interpretation of resistance against single drugs and drug combinations.