Literature DB >> 32392030

Immunoassay for HIV Drug Metabolites Tenofovir and Tenofovir Diphosphate.

Derin Sevenler1, Ashley Bardon, Marta Fernandez Suarez2, Lisa Marshall2, Mehmet Toner1, Paul K Drain, Rebecca D Sandlin1.   

Abstract

Poor patient adherence to antiretroviral medication represents a major obstacle for managing disease and reducing rates of new HIV infections. The measurement of patient drug levels is the most objective method of determining adherence. Tenofovir and tenofovir diphosphate are metabolites of some of the most common HIV medications for treatment and prevention and can be quantified by mass spectrometry. Here, we report the development of a competitive enzyme linked immunoassay as a simplified approach for detecting tenofovir and tenofovir diphosphate. Monoclonal antibodies were produced by two tenofovir-hapten conjugates and screened for binding to immobilized tenofovir, and then for competition by tenofovir and tenofovir diphosphate. Antibody specificity was evaluated against adenosine phosphates, which are close structural analogs. We performed numerical simulations of reaction equilibrium to guide assay optimization. When used to evaluate spiked tenofovir in plasma and spiked tenofovir diphosphate in red blood cell lysate, the optimized assay had high sensitivity and specificity.

Entities:  

Keywords:  HIV; PrEP; adherence; antiretroviral therapy (ART); immunoassay; tenofovir

Mesh:

Substances:

Year:  2020        PMID: 32392030      PMCID: PMC7895468          DOI: 10.1021/acsinfecdis.0c00010

Source DB:  PubMed          Journal:  ACS Infect Dis        ISSN: 2373-8227            Impact factor:   5.084


  27 in total

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9.  A systematic review of adherence to oral pre-exposure prophylaxis for HIV - how can we improve uptake and adherence?

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Journal:  BMC Infect Dis       Date:  2018-11-16       Impact factor: 3.090

10.  Global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017.

Authors: 
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