Comparison of a point mutation assay with a line probe assay for the detection of the major mutations in the HIV-1 reverse transcriptase gene associated with reduced susceptibility to nucleoside analogues
Jr. Clarke et al., Comparison of a point mutation assay with a line probe assay for the detection of the major mutations in the HIV-1 reverse transcriptase gene associated with reduced susceptibility to nucleoside analogues, J VIROL MET, 88(2), 2000, pp. 117-124
This study compares the performance of a line probe assay (LiPA) for the de
tection of the major mutations associated with reduced sensitivity to nucle
oside analogues with a well characterised point mutation assay (PMA). Plasm
a samples obtained from patients in a trial of four reverse transcriptase i
nhibitors (MRC Quattro Trial) were tested by both LiPA and PMA at baseline,
32nd and 64th weeks for the presence of drug resistance associated mutatio
ns in the reverse transcriptase (RT) gene. HIV-1 RNA was extracted from pla
sma by the Boom method and amplified by RT-PCR prior to being tested by LiP
A or PMA. Assay discrepancies were further investigated by sequencing of th
e RT gene. Of 275 samples available from 98 trial subjects, 246 samples wer
e successfully amplified by PCR and analysed by LiPA and PMA for six mutati
ons. Of the 1476 individual codons analysed, LiPA successfully assayed 1444
(97.8%) and PMA gave a result with 1418 (96.1%). LiPA failed to give a res
ult for 32 codons from 22 samples and PMA failed with 58 codons from 38 sam
ples. Gross differences between the two assays, in which one scored a codon
as wild-type only and the other as mutant only or vice versa, occurred at
28 codons analysed (1.9%) representing 26 samples from 20 subjects. Sequenc
ing of 22 of the 26 samples confirmed the LiPA result in nine cases, the PM
A result in 11 and detected a novel variant at codon 215 in four cases. The
PMA and LiPA approach to the detection of the major mutations that are gen
otypically associated with reduced sensitivity to nucleoside analogues can
correctly detect mutations in 97% of the cases. (C) 2000 Elsevier Science B
.V. All rights reserved.