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Double-Antigen Lateral Flow Immunoassay for the Detection of Anti-HIV-1 and -2 Antibodies Using Upconverting Nanoparticle Reporters

Martiskainen Iida; Bayoumy Sherif; Salminen Teppo; Talha Sheikh; Vuorenpää Karoliina; Khanna Navin; Juntunen Etvi; Batra Gaurav; Pettersson Kim; Vuorinen Tytti

Double-Antigen Lateral Flow Immunoassay for the Detection of Anti-HIV-1 and -2 Antibodies Using Upconverting Nanoparticle Reporters

Martiskainen Iida
Bayoumy Sherif
Salminen Teppo
Talha Sheikh
Vuorenpää Karoliina
Khanna Navin
Juntunen Etvi
Batra Gaurav
Pettersson Kim
Vuorinen Tytti
Katso/Avaa
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Lataukset: 

MDPI
doi:10.3390/s21020330
URI
https://www.mdpi.com/1424-8220/21/2/330/htm
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042821538
Tiivistelmä

Rapid diagnostic tests (RDTs) are often used for the detection of anti-human immunodeficiency virus (HIV) antibodies in remote locations in low- and middle-income countries (LMIC) with low or limited access to central laboratories. The typical format of an RDT is a lateral flow assay (LFA) with visual interpretation prone to subjectivity. This risk of misinterpretation can be overcome with luminescent upconverting nanoparticle reporters (UCNPs) measured with a miniaturized easy-to-use reader instrument. An LFA with UCNPs for anti-HIV-1/2 antibodies was developed and the assay performance was evaluated extensively with challenging patient sample panels. Sensitivity (n = 145) of the UCNP-LFA was 96.6% (95% CI: 92.1–98.8%) and specificity (n = 309) was 98.7% (95% CI: 96.7–99.7%). Another set of samples (n = 200) was used for a comparison between the UCNP-LFA and a conventional visual RDT. In this comparison, the sensitivities for HIV-1 were 96.4% (95% CI: 89.8–99.3%) and 97.6% (95% CI: 91.6–99.7%), for the UCNP-LFA and conventional RDT, respectively. The specificity was 100% (95% CI: 96.4–100%) for both assays. The developed UCNP-LFA demonstrates the applicability of UCNPs for the detection of anti-HIV antibodies. The signal measurement is done by a reader instrument, which may facilitate automated result interpretation, archiving and transfer of data from de-centralized locations.

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