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Performance of Genotypic Algorithms for Predicting HIV-1 Tropism Measured against the Enhanced-Sensitivity Trofile Coreceptor Tropism Assay ▿

机译:用增强敏感性的Trofile共感受器趋向性测定测得的预测HIV-1趋向的基因型算法的性能▿

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摘要

The objectives of this study were to assess the performance of genotypic algorithms for predicting CXCR4-using virus, with enhanced sensitivity Trofile HIV coreceptor tropism assay (ES Trofile) as the reference, and to compare the concordance/accuracy of genotypic tests with ES Trofile and with the original Trofile assay. Paired phenotypic and genotypic determinations of HIV-1 coreceptor usage were compared in plasma samples from HIV-1-infected patients. Sequencing of the third hypervariable (V3) loop of the viral gene and phenotypic assays were performed for each sample. Genotypic rules used to predict tropism were Geno2pheno (false-positive rate at 1 to 20%), position-specific scoring matrix X4R5 (PSSMX4R5) and PSSMsinsi (where “sinsi” stands for syncytium inducing and non-syncytium inducing), and the 11/25, 11/24/25, and net charge rules. Two hundred forty-four phenotypic and genotypic samples were tested. Coreceptor usage was obtained from ES Trofile for 145 (59%) samples and from Trofile for 99 (41%) samples. The highest concordance (82.6%) was obtained with PSSMX4R5 when ES Trofile was used as the reference. Geno2pheno at a 20% false-positive rate showed the highest sensitivity (76.7%) for CXCR4-using virus detection with ES Trofile. Samples from naïve subjects and those with CD4 cell counts between 200 and 500 cells/mm3 showed the best predictive performance. Overall, the accuracy of the bioinformatics tools to detect CXCR4-using virus was similar for ES Trofile and Trofile; however, the negative predictive values for genotypic tools with ES Trofile were slightly higher than they were with Trofile. The accuracy of genotypic algorithms for detecting CXCR4-using viruses is high when using ES Trofile as the reference. Results are similar to those obtained with Trofile. The concordance with ES Trofile is better with higher CD4 cell counts and nonexposure to antiretroviral therapy.
机译:这项研究的目的是评估基因型算法预测使用病毒的CXCR4的性能,并以提高敏感性的Trofile HIV共感受器趋向性测定法(ES Trofile)为参考,并比较基因型测试与ES Trofile和ES的一致性/准确性。原始的Trofile分析。在来自HIV-1感染患者的血浆样本中比较了HIV-1共受体使用的配对表型和基因型测定。对每个样品进行病毒基因的第三高变(V3)环的测序和表型测定。用于预测向性的基因型规则是Geno2pheno(假阳性率在1%到20%),位置特定的评分矩阵X4R5(PSSMX4R5)和PSSMsinsi(其中“ sinsi”代表合胞体诱导和非合胞体诱导),以及11 / 25、11 / 24/25和净费用规则。测试了244个表型和基因型样品。从ES Trofile获得145个(59%)样本,从Trofile获得99个(41%)样本的Coreceptor。当使用ES Trofile作为参考时,使用PSSMX4R5获得了最高的一致性(82.6%)。 Geno2pheno假阳性率为20%,使用ES Trofile检测病毒对CXCR4的敏感性最高(76.7%)。来自幼稚受试者和CD4细胞计数在200至500细胞/ mm3之间的样本显示出最佳的预测性能。总体而言,ES Trofile和Trofile的生物信息学工具检测使用CXCR4的病毒的准确性相似。然而,ES Trofile基因型工具的阴性预测值略高于Trofile基因型。当使用ES Trofile作为参考时,用于检测使用CXCR4的病毒的基因型算法的准确性很高。结果类似于使用Trofile获得的结果。与ES Trofile的一致性更好,CD4细胞计数更高且未接受抗逆转录病毒治疗。

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