کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8747119 | 1593424 | 2018 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
High avidity anti-integrase antibodies discriminate recent and non-recent HIV infection: Implications for HIV incidence assay
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موضوعات مرتبط
علوم زیستی و بیوفناوری
ایمنی شناسی و میکروب شناسی
ویروس شناسی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Estimation of HIV incidence provides real-time information of HIV transmission trends for decision makers. Anti-integrase antibodies are the last ones produced during seroconversion and presence of high-avidity anti-integrase antibodies indicates the chronicity of HIV infection. This study aimed to evaluate the performance of these antibodies in discriminating of recent from non-recent HIV infection. For this purpose, different ELISA formats were developed to detect high-avidity anti-integrase antibodies in a commercially available performance panel, and the best assay was selected for further evaluation. The false recent rate of the selected assay was evaluated in a panel of Iranian patients and compared to two commercial assays, BED-EIA and LAg-Avidity. While the false recent rate of the developed assay was 3.8%, it was 14.1% and 1.3% for BED-EIA and LAg-Avidity, respectively. To our knowledge, this is the first report to study the performance of high-avidity anti-integrase antibodies for classification of HIV infection. The preliminary results showed that the specificity of the newly developed assay is markedly higher than BED-EIA and is comparable with LAg-Avidity. The promising results point to the potential use of anti-integrase antibodies as a biomarker in HIV incidence laboratory tests or algorithms. The developed assay needs further evaluation in future.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Virological Methods - Volume 253, March 2018, Pages 5-10
Journal: Journal of Virological Methods - Volume 253, March 2018, Pages 5-10
نویسندگان
Zahra Rikhtegaran Tehrani, Kayhan Azadmanesh, Ehsan Mostafavi, Safoora Gharibzadeh, Shahrzad Soori, Mohammad Azizi, Alireza Khabiri,