Approximately 32 million people have died of HIV infection since the beginning of the outbreak, and 38 million are currently infected. Among strategies adopted by The Joint United Nations Programme on HIV/AIDS to end the AIDS world epidemic, the treatment, diagnosis, and viral suppression of the infected subjects are considered crucials for HIV prevention and transmission. Although several antiretroviral drugs (ARV) are successfully used to manage HIV infection, their efficacy strictly relies on the perfect adherence to the therapy, which is seldom achieved. Patient supervision, especially in HIV-endemic, low-resource settings, requires rapid, easy-to-use, and affordable analytical tools, such as enzyme-linked immunosorbent assays (ELISA) and especially lateral flow immunoassays (LFIA). In this work, high-affinity monoclonal antibodies were generated to develop ELISA and LFIA prototypes for monitoring tenofovir (TFV), an ARV drug present in several HIV treatments. TFV was functionalized by inserting a carboxylated C5-linker at the phosphonic group of the molecule, and the synthetic derivative was conjugated to proteins for mice immunization. Through a rigorous screening strategy of hybridoma supernatants, a panel of monoclonal antibodies strongly binding to TFV was raised Following antibody characterization for affinity and selectivity by competitive ELISA, a LFIA prototype was developed and tentatively applied to determine TFV in simulated urine. The point-of-care test showed ultra-high detectability (the visual limit of detection was 2.5 nM, 1.4 ng/mL), excellent selectivity, and limited proneness to matrix interference, thus potentially making this rapid method a valuable tool for on-site assessment of the patient adherence to ARV therapy

Monoclonal antibodies with subnanomolar affinity to tenofovir for monitoring adherence to antiretroviral therapies: from hapten synthesis to prototype development

S. Cavalera
First
;
F. Di Nardo;M. Chiarello;C. Baggiani;A. D'Avolio;L. Anfossi
;
2020-01-01

Abstract

Approximately 32 million people have died of HIV infection since the beginning of the outbreak, and 38 million are currently infected. Among strategies adopted by The Joint United Nations Programme on HIV/AIDS to end the AIDS world epidemic, the treatment, diagnosis, and viral suppression of the infected subjects are considered crucials for HIV prevention and transmission. Although several antiretroviral drugs (ARV) are successfully used to manage HIV infection, their efficacy strictly relies on the perfect adherence to the therapy, which is seldom achieved. Patient supervision, especially in HIV-endemic, low-resource settings, requires rapid, easy-to-use, and affordable analytical tools, such as enzyme-linked immunosorbent assays (ELISA) and especially lateral flow immunoassays (LFIA). In this work, high-affinity monoclonal antibodies were generated to develop ELISA and LFIA prototypes for monitoring tenofovir (TFV), an ARV drug present in several HIV treatments. TFV was functionalized by inserting a carboxylated C5-linker at the phosphonic group of the molecule, and the synthetic derivative was conjugated to proteins for mice immunization. Through a rigorous screening strategy of hybridoma supernatants, a panel of monoclonal antibodies strongly binding to TFV was raised Following antibody characterization for affinity and selectivity by competitive ELISA, a LFIA prototype was developed and tentatively applied to determine TFV in simulated urine. The point-of-care test showed ultra-high detectability (the visual limit of detection was 2.5 nM, 1.4 ng/mL), excellent selectivity, and limited proneness to matrix interference, thus potentially making this rapid method a valuable tool for on-site assessment of the patient adherence to ARV therapy
2020
Inglese
Esperti anonimi
8
10439
10449
11
SPAGNA
1 – prodotto con file in versione Open Access (allegherò il file al passo 6 - Carica)
262
10
S.Cavalera; C.Agulló; J.V.Mercader; F.Di Nardo; M.Chiarello; C.Baggiani; A.D'Avolio; L.Anfossi; A.Abad-Somovilla; A.Abad-Fuentes
info:eu-repo/semantics/article
partially_open
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1762841
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